université de la rochelle...(cattarin et al. 2016) i contexte ii verrous scientifiques iii etat de...
TRANSCRIPT
Universiteacute de La Rochelle
Paris le 2 mai 2018
2
Sommaire
I ndash Contexte
II ndash Verrous scientifiques
gt Le triptyque de la meacutethode inverse
gt Lrsquoanalyse des donneacutees
III ndash Etat de lrsquoart sur les meacutethodes inverses appliqueacutees agrave la caracteacuterisation thermique des parois
gt Installations
gt Meacutethodes et modegraveles statiques
gt Meacutethodes et modegraveles dynamiques
gt Instrumentation
IV - Conclusion
Journeacutee SFT02052018
Pourquoi caracteacuteriser le comportement thermique des parois
3 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
gt Evaluer les performances eacutenergeacutetiques des bacirctiments qui deacutependent
fortement de lrsquoenveloppe des bacirctiments en hiver comme en eacuteteacute qualifieacutee de
laquo modeacuteratrice climatique raquo (John et al 2005)
gt Caracteacuteriser des composants drsquoenveloppes innovants
ndash geacuteomeacutetrie complexe
ndash pheacutenomegravenes physiques non lineacuteaires (convection dans des lames drsquoair)
ndash humiditeacute
ndash aspects dynamiques (solaires)hellip
Composants drsquoenveloppes innovants
4 Journeacutee SFT02052018
Stockage deacutestockage
Controcircle dynamique
actif ou passif
Geacuteneacuterateur drsquoeacutenergie
Mateacuteriaux nouveaux
Valorisation des ressources eacutenergeacutetiques
bull Murs stockeursbull MCP
bull MursToits veacutegeacutetaliseacutesbull Aeacuterogels PIVbull Biomateacuteriauxbull Paroi agrave isolation controcircleacuteebull Parois commutableshellip
bull PVbull Pieacutezoeacutelectriquebull Thermoeacutelectriciteacutebull Piles microbiennes agrave
plantesbull Verre photoeacutelectrique
photoluminescent eacutelectroluminescent
bull Murfenecirctre parieacutetodynamiquebull Alliages et polymegraveres agrave meacutemoire
de formebull Verre thermochromebull Verre photochromebull Verre eacutelectrochromebull Dispositif agrave particules en
suspension et agrave cristaux liquidesbull Verre gazochromebull Verre eacutelectromeacutecanique
bull Soleil (Mur Trombe Isolants transparents Solar Wallhellip)
bull Air exteacuterieur (double peau VNhellip)
bull Ciel (refroidissement)bull Sol habitat (air extrait
chaleur fatalehellip)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
5 Journeacutee SFT02052018
A lrsquoeacutechelle des mateacuteriaux
gt Mesure des proprieacuteteacutes thermiques normaliseacutees
ndash Reacutesistance thermique (NF EN 12939 NF EN 12667 NF EN 12664)
ndash Conductiviteacute thermique et diffusiviteacute thermique (NF EN 22007-2)
gt Recherche sur des mateacuteriaux nouveaux les transferts coupleacutes (Berger et al 2018)hellip
Lrsquoeacutechelle drsquoeacutetude
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
A lrsquoeacutechelle des parois
Caracteacuteristiques = Performance globale
ne sum proprieacuteteacutes thermiques de chaque mateacuteriau
gt Des essais en conditions reacuteelles sont neacutecessaires pour identifier les caracteacuteristiques thermiques des composants de faccedilade de maniegravere dynamique
6 Journeacutee SFT02052018
Quelle installation
de test utiliser
Quelles meacutethodes
inverses utiliseacutees
Comment prendre
en compte lrsquoinertie
Les deacuteperditions de plus en plus
faibles comment les mesurer
Que doit-on mesurer
et comment
Quel niveau de deacutetail de modegravele
neacutecessaire agrave lrsquoeacutechelle de la paroi
Quels paramegravetres en
fonction du type de paroi
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le triptyque de la meacutethode inverse
Mais pas seulementhellip
Expeacuterience
Modegravele Inversion
Quelles donneacutees sont
seacutelectionneacutees
7 Journeacutee SFT
HLCth = 408 WK
Roels et al 2017 dans le cadre du projet AIE EBC Annex 58 lsquoReliableBuilding Energy Performance Characterisation Based on Full Scale Dynamic Measurementsrsquo
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le traitement des donneacutees
8 Journeacutee SFT02052018
Caracteacuteristiques Laboratoire controcircleacute Cellule test exteacuterieure Mesure in situ
Conditions aux limites Controcircleacutees Controcircleacutees Reacuteelles Reacuteelles
Instrumentation + + -
Preacutecision + = -
Influence occupant Possible
Essais reacuteplicables
Adapteacute agrave
Parois opaques
Parois vitreacutees asymp
Parois actives
Twin houses (Germany IBP)Facade test (La Rochelle TIPEE)
Climatic chamber (Norway
NTNU)
Ces trois installations sont compleacutementaires (Cattarin et al 2016)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Les installations
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
2
Sommaire
I ndash Contexte
II ndash Verrous scientifiques
gt Le triptyque de la meacutethode inverse
gt Lrsquoanalyse des donneacutees
III ndash Etat de lrsquoart sur les meacutethodes inverses appliqueacutees agrave la caracteacuterisation thermique des parois
gt Installations
gt Meacutethodes et modegraveles statiques
gt Meacutethodes et modegraveles dynamiques
gt Instrumentation
IV - Conclusion
Journeacutee SFT02052018
Pourquoi caracteacuteriser le comportement thermique des parois
3 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
gt Evaluer les performances eacutenergeacutetiques des bacirctiments qui deacutependent
fortement de lrsquoenveloppe des bacirctiments en hiver comme en eacuteteacute qualifieacutee de
laquo modeacuteratrice climatique raquo (John et al 2005)
gt Caracteacuteriser des composants drsquoenveloppes innovants
ndash geacuteomeacutetrie complexe
ndash pheacutenomegravenes physiques non lineacuteaires (convection dans des lames drsquoair)
ndash humiditeacute
ndash aspects dynamiques (solaires)hellip
Composants drsquoenveloppes innovants
4 Journeacutee SFT02052018
Stockage deacutestockage
Controcircle dynamique
actif ou passif
Geacuteneacuterateur drsquoeacutenergie
Mateacuteriaux nouveaux
Valorisation des ressources eacutenergeacutetiques
bull Murs stockeursbull MCP
bull MursToits veacutegeacutetaliseacutesbull Aeacuterogels PIVbull Biomateacuteriauxbull Paroi agrave isolation controcircleacuteebull Parois commutableshellip
bull PVbull Pieacutezoeacutelectriquebull Thermoeacutelectriciteacutebull Piles microbiennes agrave
plantesbull Verre photoeacutelectrique
photoluminescent eacutelectroluminescent
bull Murfenecirctre parieacutetodynamiquebull Alliages et polymegraveres agrave meacutemoire
de formebull Verre thermochromebull Verre photochromebull Verre eacutelectrochromebull Dispositif agrave particules en
suspension et agrave cristaux liquidesbull Verre gazochromebull Verre eacutelectromeacutecanique
bull Soleil (Mur Trombe Isolants transparents Solar Wallhellip)
bull Air exteacuterieur (double peau VNhellip)
bull Ciel (refroidissement)bull Sol habitat (air extrait
chaleur fatalehellip)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
5 Journeacutee SFT02052018
A lrsquoeacutechelle des mateacuteriaux
gt Mesure des proprieacuteteacutes thermiques normaliseacutees
ndash Reacutesistance thermique (NF EN 12939 NF EN 12667 NF EN 12664)
ndash Conductiviteacute thermique et diffusiviteacute thermique (NF EN 22007-2)
gt Recherche sur des mateacuteriaux nouveaux les transferts coupleacutes (Berger et al 2018)hellip
Lrsquoeacutechelle drsquoeacutetude
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
A lrsquoeacutechelle des parois
Caracteacuteristiques = Performance globale
ne sum proprieacuteteacutes thermiques de chaque mateacuteriau
gt Des essais en conditions reacuteelles sont neacutecessaires pour identifier les caracteacuteristiques thermiques des composants de faccedilade de maniegravere dynamique
6 Journeacutee SFT02052018
Quelle installation
de test utiliser
Quelles meacutethodes
inverses utiliseacutees
Comment prendre
en compte lrsquoinertie
Les deacuteperditions de plus en plus
faibles comment les mesurer
Que doit-on mesurer
et comment
Quel niveau de deacutetail de modegravele
neacutecessaire agrave lrsquoeacutechelle de la paroi
Quels paramegravetres en
fonction du type de paroi
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le triptyque de la meacutethode inverse
Mais pas seulementhellip
Expeacuterience
Modegravele Inversion
Quelles donneacutees sont
seacutelectionneacutees
7 Journeacutee SFT
HLCth = 408 WK
Roels et al 2017 dans le cadre du projet AIE EBC Annex 58 lsquoReliableBuilding Energy Performance Characterisation Based on Full Scale Dynamic Measurementsrsquo
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le traitement des donneacutees
8 Journeacutee SFT02052018
Caracteacuteristiques Laboratoire controcircleacute Cellule test exteacuterieure Mesure in situ
Conditions aux limites Controcircleacutees Controcircleacutees Reacuteelles Reacuteelles
Instrumentation + + -
Preacutecision + = -
Influence occupant Possible
Essais reacuteplicables
Adapteacute agrave
Parois opaques
Parois vitreacutees asymp
Parois actives
Twin houses (Germany IBP)Facade test (La Rochelle TIPEE)
Climatic chamber (Norway
NTNU)
Ces trois installations sont compleacutementaires (Cattarin et al 2016)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Les installations
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
Pourquoi caracteacuteriser le comportement thermique des parois
3 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
gt Evaluer les performances eacutenergeacutetiques des bacirctiments qui deacutependent
fortement de lrsquoenveloppe des bacirctiments en hiver comme en eacuteteacute qualifieacutee de
laquo modeacuteratrice climatique raquo (John et al 2005)
gt Caracteacuteriser des composants drsquoenveloppes innovants
ndash geacuteomeacutetrie complexe
ndash pheacutenomegravenes physiques non lineacuteaires (convection dans des lames drsquoair)
ndash humiditeacute
ndash aspects dynamiques (solaires)hellip
Composants drsquoenveloppes innovants
4 Journeacutee SFT02052018
Stockage deacutestockage
Controcircle dynamique
actif ou passif
Geacuteneacuterateur drsquoeacutenergie
Mateacuteriaux nouveaux
Valorisation des ressources eacutenergeacutetiques
bull Murs stockeursbull MCP
bull MursToits veacutegeacutetaliseacutesbull Aeacuterogels PIVbull Biomateacuteriauxbull Paroi agrave isolation controcircleacuteebull Parois commutableshellip
bull PVbull Pieacutezoeacutelectriquebull Thermoeacutelectriciteacutebull Piles microbiennes agrave
plantesbull Verre photoeacutelectrique
photoluminescent eacutelectroluminescent
bull Murfenecirctre parieacutetodynamiquebull Alliages et polymegraveres agrave meacutemoire
de formebull Verre thermochromebull Verre photochromebull Verre eacutelectrochromebull Dispositif agrave particules en
suspension et agrave cristaux liquidesbull Verre gazochromebull Verre eacutelectromeacutecanique
bull Soleil (Mur Trombe Isolants transparents Solar Wallhellip)
bull Air exteacuterieur (double peau VNhellip)
bull Ciel (refroidissement)bull Sol habitat (air extrait
chaleur fatalehellip)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
5 Journeacutee SFT02052018
A lrsquoeacutechelle des mateacuteriaux
gt Mesure des proprieacuteteacutes thermiques normaliseacutees
ndash Reacutesistance thermique (NF EN 12939 NF EN 12667 NF EN 12664)
ndash Conductiviteacute thermique et diffusiviteacute thermique (NF EN 22007-2)
gt Recherche sur des mateacuteriaux nouveaux les transferts coupleacutes (Berger et al 2018)hellip
Lrsquoeacutechelle drsquoeacutetude
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
A lrsquoeacutechelle des parois
Caracteacuteristiques = Performance globale
ne sum proprieacuteteacutes thermiques de chaque mateacuteriau
gt Des essais en conditions reacuteelles sont neacutecessaires pour identifier les caracteacuteristiques thermiques des composants de faccedilade de maniegravere dynamique
6 Journeacutee SFT02052018
Quelle installation
de test utiliser
Quelles meacutethodes
inverses utiliseacutees
Comment prendre
en compte lrsquoinertie
Les deacuteperditions de plus en plus
faibles comment les mesurer
Que doit-on mesurer
et comment
Quel niveau de deacutetail de modegravele
neacutecessaire agrave lrsquoeacutechelle de la paroi
Quels paramegravetres en
fonction du type de paroi
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le triptyque de la meacutethode inverse
Mais pas seulementhellip
Expeacuterience
Modegravele Inversion
Quelles donneacutees sont
seacutelectionneacutees
7 Journeacutee SFT
HLCth = 408 WK
Roels et al 2017 dans le cadre du projet AIE EBC Annex 58 lsquoReliableBuilding Energy Performance Characterisation Based on Full Scale Dynamic Measurementsrsquo
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le traitement des donneacutees
8 Journeacutee SFT02052018
Caracteacuteristiques Laboratoire controcircleacute Cellule test exteacuterieure Mesure in situ
Conditions aux limites Controcircleacutees Controcircleacutees Reacuteelles Reacuteelles
Instrumentation + + -
Preacutecision + = -
Influence occupant Possible
Essais reacuteplicables
Adapteacute agrave
Parois opaques
Parois vitreacutees asymp
Parois actives
Twin houses (Germany IBP)Facade test (La Rochelle TIPEE)
Climatic chamber (Norway
NTNU)
Ces trois installations sont compleacutementaires (Cattarin et al 2016)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Les installations
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
Composants drsquoenveloppes innovants
4 Journeacutee SFT02052018
Stockage deacutestockage
Controcircle dynamique
actif ou passif
Geacuteneacuterateur drsquoeacutenergie
Mateacuteriaux nouveaux
Valorisation des ressources eacutenergeacutetiques
bull Murs stockeursbull MCP
bull MursToits veacutegeacutetaliseacutesbull Aeacuterogels PIVbull Biomateacuteriauxbull Paroi agrave isolation controcircleacuteebull Parois commutableshellip
bull PVbull Pieacutezoeacutelectriquebull Thermoeacutelectriciteacutebull Piles microbiennes agrave
plantesbull Verre photoeacutelectrique
photoluminescent eacutelectroluminescent
bull Murfenecirctre parieacutetodynamiquebull Alliages et polymegraveres agrave meacutemoire
de formebull Verre thermochromebull Verre photochromebull Verre eacutelectrochromebull Dispositif agrave particules en
suspension et agrave cristaux liquidesbull Verre gazochromebull Verre eacutelectromeacutecanique
bull Soleil (Mur Trombe Isolants transparents Solar Wallhellip)
bull Air exteacuterieur (double peau VNhellip)
bull Ciel (refroidissement)bull Sol habitat (air extrait
chaleur fatalehellip)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
5 Journeacutee SFT02052018
A lrsquoeacutechelle des mateacuteriaux
gt Mesure des proprieacuteteacutes thermiques normaliseacutees
ndash Reacutesistance thermique (NF EN 12939 NF EN 12667 NF EN 12664)
ndash Conductiviteacute thermique et diffusiviteacute thermique (NF EN 22007-2)
gt Recherche sur des mateacuteriaux nouveaux les transferts coupleacutes (Berger et al 2018)hellip
Lrsquoeacutechelle drsquoeacutetude
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
A lrsquoeacutechelle des parois
Caracteacuteristiques = Performance globale
ne sum proprieacuteteacutes thermiques de chaque mateacuteriau
gt Des essais en conditions reacuteelles sont neacutecessaires pour identifier les caracteacuteristiques thermiques des composants de faccedilade de maniegravere dynamique
6 Journeacutee SFT02052018
Quelle installation
de test utiliser
Quelles meacutethodes
inverses utiliseacutees
Comment prendre
en compte lrsquoinertie
Les deacuteperditions de plus en plus
faibles comment les mesurer
Que doit-on mesurer
et comment
Quel niveau de deacutetail de modegravele
neacutecessaire agrave lrsquoeacutechelle de la paroi
Quels paramegravetres en
fonction du type de paroi
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le triptyque de la meacutethode inverse
Mais pas seulementhellip
Expeacuterience
Modegravele Inversion
Quelles donneacutees sont
seacutelectionneacutees
7 Journeacutee SFT
HLCth = 408 WK
Roels et al 2017 dans le cadre du projet AIE EBC Annex 58 lsquoReliableBuilding Energy Performance Characterisation Based on Full Scale Dynamic Measurementsrsquo
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le traitement des donneacutees
8 Journeacutee SFT02052018
Caracteacuteristiques Laboratoire controcircleacute Cellule test exteacuterieure Mesure in situ
Conditions aux limites Controcircleacutees Controcircleacutees Reacuteelles Reacuteelles
Instrumentation + + -
Preacutecision + = -
Influence occupant Possible
Essais reacuteplicables
Adapteacute agrave
Parois opaques
Parois vitreacutees asymp
Parois actives
Twin houses (Germany IBP)Facade test (La Rochelle TIPEE)
Climatic chamber (Norway
NTNU)
Ces trois installations sont compleacutementaires (Cattarin et al 2016)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Les installations
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
5 Journeacutee SFT02052018
A lrsquoeacutechelle des mateacuteriaux
gt Mesure des proprieacuteteacutes thermiques normaliseacutees
ndash Reacutesistance thermique (NF EN 12939 NF EN 12667 NF EN 12664)
ndash Conductiviteacute thermique et diffusiviteacute thermique (NF EN 22007-2)
gt Recherche sur des mateacuteriaux nouveaux les transferts coupleacutes (Berger et al 2018)hellip
Lrsquoeacutechelle drsquoeacutetude
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
A lrsquoeacutechelle des parois
Caracteacuteristiques = Performance globale
ne sum proprieacuteteacutes thermiques de chaque mateacuteriau
gt Des essais en conditions reacuteelles sont neacutecessaires pour identifier les caracteacuteristiques thermiques des composants de faccedilade de maniegravere dynamique
6 Journeacutee SFT02052018
Quelle installation
de test utiliser
Quelles meacutethodes
inverses utiliseacutees
Comment prendre
en compte lrsquoinertie
Les deacuteperditions de plus en plus
faibles comment les mesurer
Que doit-on mesurer
et comment
Quel niveau de deacutetail de modegravele
neacutecessaire agrave lrsquoeacutechelle de la paroi
Quels paramegravetres en
fonction du type de paroi
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le triptyque de la meacutethode inverse
Mais pas seulementhellip
Expeacuterience
Modegravele Inversion
Quelles donneacutees sont
seacutelectionneacutees
7 Journeacutee SFT
HLCth = 408 WK
Roels et al 2017 dans le cadre du projet AIE EBC Annex 58 lsquoReliableBuilding Energy Performance Characterisation Based on Full Scale Dynamic Measurementsrsquo
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le traitement des donneacutees
8 Journeacutee SFT02052018
Caracteacuteristiques Laboratoire controcircleacute Cellule test exteacuterieure Mesure in situ
Conditions aux limites Controcircleacutees Controcircleacutees Reacuteelles Reacuteelles
Instrumentation + + -
Preacutecision + = -
Influence occupant Possible
Essais reacuteplicables
Adapteacute agrave
Parois opaques
Parois vitreacutees asymp
Parois actives
Twin houses (Germany IBP)Facade test (La Rochelle TIPEE)
Climatic chamber (Norway
NTNU)
Ces trois installations sont compleacutementaires (Cattarin et al 2016)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Les installations
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
6 Journeacutee SFT02052018
Quelle installation
de test utiliser
Quelles meacutethodes
inverses utiliseacutees
Comment prendre
en compte lrsquoinertie
Les deacuteperditions de plus en plus
faibles comment les mesurer
Que doit-on mesurer
et comment
Quel niveau de deacutetail de modegravele
neacutecessaire agrave lrsquoeacutechelle de la paroi
Quels paramegravetres en
fonction du type de paroi
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le triptyque de la meacutethode inverse
Mais pas seulementhellip
Expeacuterience
Modegravele Inversion
Quelles donneacutees sont
seacutelectionneacutees
7 Journeacutee SFT
HLCth = 408 WK
Roels et al 2017 dans le cadre du projet AIE EBC Annex 58 lsquoReliableBuilding Energy Performance Characterisation Based on Full Scale Dynamic Measurementsrsquo
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le traitement des donneacutees
8 Journeacutee SFT02052018
Caracteacuteristiques Laboratoire controcircleacute Cellule test exteacuterieure Mesure in situ
Conditions aux limites Controcircleacutees Controcircleacutees Reacuteelles Reacuteelles
Instrumentation + + -
Preacutecision + = -
Influence occupant Possible
Essais reacuteplicables
Adapteacute agrave
Parois opaques
Parois vitreacutees asymp
Parois actives
Twin houses (Germany IBP)Facade test (La Rochelle TIPEE)
Climatic chamber (Norway
NTNU)
Ces trois installations sont compleacutementaires (Cattarin et al 2016)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Les installations
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
7 Journeacutee SFT
HLCth = 408 WK
Roels et al 2017 dans le cadre du projet AIE EBC Annex 58 lsquoReliableBuilding Energy Performance Characterisation Based on Full Scale Dynamic Measurementsrsquo
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Le traitement des donneacutees
8 Journeacutee SFT02052018
Caracteacuteristiques Laboratoire controcircleacute Cellule test exteacuterieure Mesure in situ
Conditions aux limites Controcircleacutees Controcircleacutees Reacuteelles Reacuteelles
Instrumentation + + -
Preacutecision + = -
Influence occupant Possible
Essais reacuteplicables
Adapteacute agrave
Parois opaques
Parois vitreacutees asymp
Parois actives
Twin houses (Germany IBP)Facade test (La Rochelle TIPEE)
Climatic chamber (Norway
NTNU)
Ces trois installations sont compleacutementaires (Cattarin et al 2016)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Les installations
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
8 Journeacutee SFT02052018
Caracteacuteristiques Laboratoire controcircleacute Cellule test exteacuterieure Mesure in situ
Conditions aux limites Controcircleacutees Controcircleacutees Reacuteelles Reacuteelles
Instrumentation + + -
Preacutecision + = -
Influence occupant Possible
Essais reacuteplicables
Adapteacute agrave
Parois opaques
Parois vitreacutees asymp
Parois actives
Twin houses (Germany IBP)Facade test (La Rochelle TIPEE)
Climatic chamber (Norway
NTNU)
Ces trois installations sont compleacutementaires (Cattarin et al 2016)
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Les installations
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
9 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes statiques
Meacutethode simple deacutecoulant de la loi de Fourier
Naveros et al 2012 | Deconinck et Roels 2016 | Gori 2017 | Gaspar 2018
Deacutetermination la reacutesistance thermique mais pas la capaciteacute thermique
Hypothegraveses
gt CL constantes ou moyenneacutees
gt proprieacuteteacutes indeacutependantes du temps
gt stockage thermique neacutegligeacute
Contraintes
gt Neacutecessite une longue dureacutee drsquoessai
gt Geacuteneacuteralement un fort gradient de tempeacuterature entre intext (gt10K)
gt Difficulteacute agrave prendre en compte lrsquoensoleillement
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
10 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Meacutethode de la moyenne
gt Meacutethode tregraves utiliseacutee sur site
gt Deacutefinie dans ISO 9869-1
gt Neacutecessite la mesure de la tempeacuterature drsquoair inteacuterieur la tempeacuterature drsquoair exteacuterieur et le flux thermique
gt Incertitude devient grande pour des parois fortement isoleacutees
gt Pas adapteacute aux parois agrave forte inertie
Modegraveles et meacutethodes statiques
gt Exemples drsquoapplications
ndash Comparaison agrave drsquoautres meacutethodes (Nardi et al 2016 Biddulph 2014)
ndash Utilisation sur site (Baker 2008 Lucchi 2017)
ndash Ameacutelioration et eacutevaluation de la meacutethode (Naveros et al 2012 Ficco et al 2015 Gaspar et al 2018)
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
11 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Principe
gt Prend en compte le comportement dynamique de la paroi et les conditionsaux limites varieacutees (rayonnement solaire convection forceacutee due au venthellip)pour deacutefinir des caracteacuteristiques thermiques de la paroi
Naveros et al 2014 | Gori 2017
Contraintes
gt Neacutecessite de seacutelectionner convenablement les donneacutees agrave traiter
gt Modegraveles plus complexes
Grande varieacuteteacute
gt Modegraveles de connaissance (ex meacutethode des diffeacuterences finies)
gt Meacutethodes agrave partir de modegraveles laquo boicircte grise raquo (LORD CTSM)
gt Modegraveles de comportement (ex meacutethodes agrave facteurs de reacuteponse)
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
12 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
LORD | 1994
gt Modegraveles boicircte grise modegraveles RC
gt 2 types de minimisation
ndash OEM (Output Error Method) = somme des eacutecarts quadratiques entre la tempeacuteraturemesureacutee et la tempeacuterature calculeacutee
ndash PEM (Prediction Error Method) = incertitudes sur les mesures et les calculs
gt Estime le coefficient de transmission thermique et le facteur solaire
gt Algorithme de minimisation Meacutethode de Nelder-Mead + Monte Carlo
gt Disponible sur wwwdynasteeinfo
Manuel LORD 32 | Gutschker 2008 | Jimeacutenez et al 2008
gt Exemples drsquoapplications
ndash Diffeacuterents murs avec ou sans ouvrant (U et g) Androutsopoulos et al 2008
ndash Projet Paslink Baker et van Dijk 2008
ndash U et g en climat chaud Jimeacutenez et al 2008
H 3-4Tint
2 3H 2-3
C2 C3
TextH 1-2
1 4
Ex Mur homogegravene
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
13 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
CTSM = Continuous Time Stochastic Model
gt Deacuteveloppeacute sous R agrave DTU
gt Modegravele boicircte grise laquo continuous time state space models raquo avec prise encompte du bruit de mesure
gt Non lineacuteaire et instationnaire
gt Minimisation PEM (Prediction Error Method) = incertitudes sur les mesureset les calculs
gt Algorithme de minimisation Stochastique
CTSM ndash R Userrsquos Guide | Kristensen et al 2004
gt Exemples drsquoapplications
ndash PV Jimeacutenez et al 2008
ndash U facteur solaire et Ceff Naveros et al 2014
ndash R et C Deconinck et Roels 2017
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
14 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Modegraveles AR(MA)X
gt Modegraveles de comportement
gt Aucune information physique sauf lorsque le comportement du modegravele est stable = comparaison possible avec lrsquoeacutequation du transfert thermique statique
Naveros et al 2015 | Deconinck et Roels 2016 | Gori 2017
gt Exemples drsquoapplications
ndash U facteur solaire et Ceff Naveros et al 2015
ndash U et g (modegraveles agrave plusieurs sorties) Jimeacutenez et Heras 2005
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
15 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Modegraveles et meacutethodes dynamiques
Autres modegraveles dynamiques
gt Facteur de reacuteponse
ndash Peng et Wu 2008 Rasooli et al 2016
gt Meacutethode des diffeacuterences finies et algorithme de LM
ndash Chaffar et al 2014 Mareacutechal 2014
gt Modegraveles RC
ndash Analyse bayeacutesienne Biddulph et al 2014
ndash Algorithme geacuteneacuterique Wang 2006
gt Meacutethode des quadripocircles et algorithme du gradient reacuteduit geacuteneacuteraliseacute
ndash Sassine 2016
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
Deux types de donneacutees
gt Les conditions aux limites (tempeacuterature humiditeacute fluxhellip)
gt Mesures pour lrsquoidentification (geacuteneacuteralement tempeacuterature etou flux voire deacutebit)
16 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
Instrumentation
1oct 3oct 5oct 7oct 9oct 11oct 13oct 15oct0
1000
2000
3000
4000
5000
6000
7000MODE 1
Day
Ma
ss f
low
ra
te [
kgh
]
Tracer gas method
Velocity profile method
Rogez et Le Coze 2009 | Meng et al 2015 | Cucumo et al 2018
Vigilances
gt Sur les grandeurs
ndash Grande varieacuteteacute
ndash Diffeacuterents ordres de grandeur
gt Sur les capteurs
ndash Choix et preacutecision
ndash Positionnement
ndash Impact sur la mesure
gt Sur les donneacutees reacutecolteacutees
ndash Choix du pas de temps drsquoacquisition
ndash Seacutelection des donneacutees pertinentes et traitement efficace
Larsen et al 2007
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
Meacutethodes statiques simples mais limiteacutees
Large avantage des meacutethodes dynamiques pour notre probleacutematique
Grande diversiteacute de meacutethodes dynamiques et de meacutethodes inverses
Faccedilades actives Nombreux modegraveles laquo boicircte grise raquo mais aussi modegraveles de connaissance
17 Journeacutee SFT02052018
I Contexte II Verrous scientifiques III Etat de lrsquoart IV Conclusion
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
18 Journeacutee SFT02052018
Avez-vous des questions
Contact Manon Rendu manonrenduuniv-lrfr
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
19 Journeacutee SFT02052018
Annexes
gt Androutsopoulos A JJ Bloem HAL van Dijk et PH Baker 2008 laquo Comparison of User Performance When ApplyingSystem Identification for Assessment of the Energy Performance of Building Components raquo Building and Environment43 (2) 189-96 httpsdoiorg101016jbuildenv200610017
gt Baker P H et H A L van Dijk 2008 laquo PASLINK and dynamic outdoor testing of building components raquo Building and Environment Outdoor Testing Analysis and Modelling of Building Components 43 (2) 143-51 httpsdoiorg101016jbuildenv200610009
gt Baker Paul 2008 laquo Technical Paper 2 - In Situ U-Value Measurements in Traditional Buildings - Preliminary Results raquo
gt Berger Julien Thomas Busser Denys Dutykh et Nathan Mendes 2018 laquo On the estimation of moisture permeabilityand advection coefficients of a wood fibre material using the optimal experiment design approach raquo ExperimentalThermal and Fluid Science 90 (janvier) 246-59 httpsdoiorg101016jexpthermflusci201707026
gt Biddulph Phillip Virginia Gori Clifford A Elwell Cameron Scott Caroline Rye Robert Lowe et Tadj Oreszczyn 2014 laquo Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements raquo Energy and Buildings 78 (aoucirct) 10-16 httpsdoiorg101016jenbuild201404004
gt Cattarin G F Causone A Kindinis et L Pagliano 2016 laquo Outdoor test cells for building envelope experimentalcharacterisation ndash A literature review raquo Renewable and Sustainable Energy Reviews 54 (feacutevrier) 606-25 httpsdoiorg101016jrser201510012
gt Chaffar Khaled Alexis Chauchois Didier Defer et Laurent Zalewski 2014 laquo Thermal characterization of homogeneouswalls using inverse method raquo Energy and Buildings 78 (aoucirct) 248-55 httpsdoiorg101016jenbuild201404038
gt laquo CTSM-R Version 100 raquo 2015 CTSM-R Development Team
gt Cucumo Mario Vittorio Ferraro Dimitrios Kaliakatsos et Marilena Mele 2018 laquo On the distortion of thermal flux and of surface temperature induced by heat flux sensors positioned on the inner surface of buildings raquo Energy and Buildings 158 (janvier) 677-83 httpsdoiorg101016jenbuild201710034
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
20 Journeacutee SFT02052018
Annexes
gt Deconinck An-Heleen et Staf Roels 2016 laquo Comparison of characterisation methods determining the thermal resistance of building components from onsite measurements raquo Energy and Buildings 130 (octobre) 309-20 httpsdoiorg101016jenbuild201608061
gt mdashmdashmdash 2017 laquo The as-built thermal quality of building components characterising non-stationary phenomena throughinverse modelling raquo Energy Procedia 11th Nordic Symposium on Building Physics NSB2017 11-14 June 2017 Trondheim Norway 132 (octobre) 351-56 httpsdoiorg101016jegypro201709748
gt Ficco Giorgio Fabio Iannetta Elvira Ianniello Francesca Romana drsquoAmbrosio Alfano et Marco DellrsquoIsola 2015 laquo U-value in situ measurement for energy diagnosis of existing buildings raquo Energy and Buildings 104 (octobre) 108-21 httpsdoiorg101016jenbuild201506071
gt Gaspar Katia Miquel Casals et Marta Gangolells 2018 laquo In Situ Measurement of Faccedilades with a Low U-Value AvoidingDeviations raquo Energy and Buildings 170 (juillet) 61-73 httpsdoiorg101016jenbuild201804012
gt Gori Virginia University College London et The Barlett 2017 laquo A Novel Method for the Estimation of ThermophysicalProperties of Walls from Short and Seasonally Independent In-Situ Surveys raquo 272
gt Gutschker Olaf 2008 laquo Parameter identification with the software package LORD raquo Building and Environment OutdoorTesting Analysis and Modelling of Building Components 43 (2) 163-69 httpsdoiorg101016jbuildenv200610010
gt mdashmdashmdash s d laquo LORD 32 raquo httpdynasteeinfowp-contentuploads201212lordmanualpdf
gt laquo ISO 9869-12014 - Isolation thermique -- Eacuteleacutements de construction -- Mesurage in situ de la reacutesistance thermique et du coefficient de transmission thermique -- Partie 1 Meacutethode du fluxmegravetre raquo
gt Jensen Rasmus Lund Olena Kalyanova Ph D-student et Per Heiselberg 2008 laquo Modeling a Naturally Ventilated Double Skin Faccedilade with a Building Thermal Simulation Program raquo Building Physics 8
gt Jimeacutenez M J H Madsen J J Bloem et B Dammann 2008 laquo Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules raquo Energy and Buildings 40 (2) 157-67 httpsdoiorg101016jenbuild200702026
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
21 Journeacutee SFT02052018
Annexes
gt Jimeacutenez M J B Porcar et M R Heras 2008 laquo Estimation of building component UA and gA from outdoor tests in warm and moderate weather conditions raquo Solar Energy 82 (7) 573-87 httpsdoiorg101016jsolener200802013
gt Jimeacutenez Mariacutea Joseacute et Henrik Madsen 2008 laquo Models for describing the thermal characteristics of building components raquo Building and Environment 2008 httpsdoi101016jbuildenv200610030
gt John Godfaurd Derek Clements-Croome et George Jeronimidis 2005 laquo Sustainable Building Solutions A Review of Lessons from the Natural World raquo Building and Environment 40 (3) 319-28 httpsdoiorg101016jbuildenv200405011
gt Kristensen Niels Rode Henrik Madsen et Sten Bay Joslashrgensen 2004 laquo Parameter estimation in stochastic grey-box models raquo Automatica 40 (2) 225-37 httpsdoiorg101016jautomatica200310001
gt Lucchi Elena 2017 laquo Thermal transmittance of historical stone masonries A comparison among standard calculatedand measured data raquo Energy and Buildings 151 (septembre) 393-405 httpsdoiorg101016jenbuild201707002
gt Mareacutechal William 2014 Utilisation de meacutethodes inverses pour la caracteacuterisation de mateacuteriaux agrave changement de phase (MCP) Pau httpwwwthesesfr2014PAUU3014
gt Meng Xi Tao Luo Yanna Gao Lili Zhang Qiong Shen et Enshen Long 2017 laquo A new simple method to measure wallthermal transmittance in situ and its adaptability analysis raquo Applied Thermal Engineering 122 (juillet) 747-57 httpsdoiorg101016japplthermaleng201705074
gt Nardi Iole Domenica Paoletti Dario Ambrosini Tullio de Rubeis et Stefano Sfarra 2016 laquo U-value assessment by infrared thermography A comparison of different calculation methods in a Guarded Hot Box raquo Energy and Buildings 122 (juin) 211-21 httpsdoiorg101016jenbuild201604017
gt Naveros I P Bacher D P Ruiz M J Jimeacutenez et H Madsen 2014 laquo Setting up and validating a complex model for a simple homogeneous wall raquo Energy and Buildings 70 (feacutevrier) 303-17 httpsdoiorg101016jenbuild201311076
gt Naveros I Christian Ghiaus DP Ruiz S Castano et S Castantildeo 2015 laquo Physical parameters identification of walls usingARX models obtained by deduction raquo Energy and Buildings no 108 317-29 httpsdoiorg101016jenbuild201509021
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
22 Journeacutee SFT02052018
Annexes
gt NF EN 12664 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits secs et humides de moyenne et basse reacutesistance thermique 2001
gt NF EN 12667 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits de haute et moyenne reacutesistance thermique 2001
gt NF EN 12939 - Performance thermique des mateacuteriaux et produits pour le bacirctiment - Deacutetermination de la reacutesistance thermique par la meacutethode de la plaque chaude gardeacutee et la meacutethode fluxmeacutetrique - Produits eacutepais de haute et moyenne reacutesistance thermique 2001
gt NF EN ISO 22007-2 - Plastiques - Deacutetermination de la conductiviteacute thermique et de la diffusiviteacute thermique - Partie 2 meacutethode de la source plane transitoire (disque chaud) 2015
gt Peng Changhai et Zhishen Wu 2008 laquo In situ measuring and evaluating the thermal resistance of building construction raquo Energy and Buildings 40 (11) 2076-82 httpsdoiorg101016jenbuild200805012
gt Rasooli Arash Laure Itard et Carlos Infante Ferreira 2016 laquo A response factor-based method for the rapid in-situ determination of wallrsquos thermal resistance in existing buildings raquo Energy and Buildings 119 (mai) 51-61 httpsdoiorg101016jenbuild201603009
gt Roels Staf Peder Bacher Geert Bauwens Sergio Castantildeo Maria Joseacute Jimeacutenez et Henrik Madsen 2017 laquo On Site Characterisation of the Overall Heat Loss Coefficient Comparison of Different Assessment Methods by a Blind Validation Exercise on a Round Robin Test Box raquo Energy and Buildings 153 (octobre) 179-89 httpsdoiorg101016jenbuild201708006
gt ROGEZ Jacques et Jean LE COZE 2009 laquo Mesure des tempeacuteratures - Questions agrave se poser avant la mesure raquo Text Ref TIP672WEB - laquo Mesures physiques raquo 10 mars 2009 httpswwwtechniques-ingenieurfrbase-documentairemesures-analyses-th1mesure-de-temperature-generalites-echelles-de-temperature-et-etalonnage-42542210mesure-des-temperatures-r2516
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011
23 Journeacutee SFT02052018
Annexes
gt Sassine Emilio 2016 laquo A practical method for in-situ thermal characterization of walls raquo Case Studies in Thermal Engineering 8 (septembre) 84-93 httpsdoiorg101016jcsite201603006
gt Wang Shengwei et Xinhua Xu 2006 laquo Parameter estimation of internal thermal mass of building dynamic models usinggenetic algorithm raquo Energy Conversion and Management 47 (13) 1927-41 httpsdoiorg101016jenconman200509011