THE PLATFORM AT THE HEART OF ENERGY INTELLIGENCE

Introduction………………………………………………………………………….……………...4

Understanding the needs……………………………………………………………………5Diagnostic…………………………………………………………………………………………………………………………………….6Giving value to existing resources………………………………………..………………………………………………….6Collect the right data……………………………………………………………………………..……………………………………6A digital solution to save energy…………………………………………………………………………………………….…6

Collecting the data ……………………………………………………………………….…….7Manual input and import…………………………………………………………………………………………..………….……8

Invoices and Contracts………………………………………………………………………………………………….….…….…8

Smart Meters : the Enertic………………………………………………………………………………………….……………..9

Submeters, multi energy sensors.…………………………………………………………………………..……………...10

Plugging GTB, GTC, GPAO…………………………………………………………………………………………………………11

M2M & PaaS……………….…………………………………………………………………………………………….………………11

IOT and Low current Networks…………………………………………………………………………………..……..…….12

Processing data (solution back-end)…………………………………............13A state-of-the-art information system……………………………………………………………………………….....14

A multi-tenants configuration..………………………………………………………………………………………………..16

An open architecture………………………………………………………………………………………………………………….16

Safety and Maintenance……………………………………………………………………………………………………..….…16

Quality………………………………………………………………………………………………………………………….………………17

Using energy data (front-end) ………………………………………………………..18A collaborative tool………………………………………………………….………………………………………………………..19

Dynamic mapping…….………………………………………………………………………………………………………………..19

Energy Contract Management……..………………………………………..………………………………………………..20

Weather data integration ………………………………………………………………………………………………………….21

Multiple sites analysis………………………………………………………………………………………………………….…..21

Dashboards…………………………………………………………………………………………………………….……………….…22

Predictive modeling…………………………………………………………………………………………………………………..22

Detecting and alerting overdrifts……………………………………………………………………………………...……23

Action plan management..………………………………..…………………………………………………………………..…23

Reports Edition ……………………………………………………………………………………………………….…..…………….24

Data Services……………………………………………………………..………………………………………….……….…….……25

Micro-services…………………………………………………………….…………………….26Invoices Application………………………………………………………………………………………………..…...………..…27

Business Applications……………………………………………………………………………………………………………….28

Custom Application (Colas) ………………………………………………………………………………………………....…31

Machine Learning as a Service (Colas) ……………………………………………………………………..…..…..…32

Blockchain as a Service………………………………………………………………………………………….…………………33

Ecosystem…………………………………………………………………………………….……34 References ………………………………………………………………………………………………………………….………....…35

IT Partners………………………………………………………………………………………………………………..………..…..…36

One team. Several expertises……………………………………………………………………………..….…………….…37

Scientific Commitee ………………………………………………………………………..……………………….………………38

Contact Us………………………………………………………………………………………………………………………………….39

IntroductionApplying new technologies to energy performance

All of us can see a growing awareness on the part ofcompanies and the state concerning environnementalissues. The energy transition is accelerating. Organizationsnow integrate previously unreachable tools into theirapproach: automated data collection systems, cloud-basedservices, algorithmic intelligence, etc. These tools evenoverturn the roles and methods of historical actors in energyperformance : integrators, publishers and consultants areforced to rethink their business models.Our company started with a very simple statement:companies and local authorities do not have access to theirenergy data. And when they do, they do not have the tools toanalyze and use this data. We propose a set of software andhardware services that enable these organizations to collect,analyze and exploit their energy data to reduce theirconsumption in a sustainable manner.On the Energisme platform, the user will find a service foreach of his challenges: automated contract management,application dedicated to boiler room monitoring, predictivemodeling ... there are many possibilities. Ultimately, theorganization has a scalable and intelligent energymanagement system. It pools and coordinates the skills ofits employees for each energy project. It optimizes time,energy and budget.

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Identifying the needs of the client organization is thefoundation on which we build each of our projects. Amongthese needs are those that the organization has alreadyclearly identified and are being resolved, those that theorganization has identified but for which it has yet to find ananswer, and those that were not yet identified but willnevertheless be real and impacting on its strategy and itsevolution. The scalability of our solution will make it possibleto meet these different types of needs as they emerge in theorganization.

Understandingthe needs

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A dedicated expertevaluates the progress ofthe client organization on itsenergy management andidentifies ways to improvethis management. Thanksto this first diagnosis, weare able to accompany theorganization in thedefinition of his priorities,but also his medium andlong term objectives. Thenwe jointly define a roadmap.

Define the objectives

Value existingresources

Collect the right dataA digital solution to

save energy

Once the objectives are set,we list exhaustively thetools and resources alreadypresent in the organization.Historical data, patrimonialor operational data,synoptic of installations,CTM, BEMS... are allelements that can bemanaged on our platform.This unified vision oftengives the organization newperspectives on its energymanagement.

The Energisme platformintegrates the expertise ofnew domains (IoT, IA, CloudComputing ...) to proposecutting-edge energyperformance tools. Whetherit is collecting, viewing oranalyzing its data, theorganization will find aservice adapted to itsproblem, its budget and theworking environment of itsemployees. A new project tomanage, and nocorresponding applicationon the platform? We developit jointly with the end-user,in record time.In the long-term, thecustomer has built his ownmonitoring and energyperformance improvementtool. It enriches andreorganizes this system asit evolves from itsenvironment and the newprojects he undertakes.

By centralizing thecontractual, operational andsensor data on theEnergisme platform, thecustomer can potentiallymonitor all his energyconsumption on a singleinterface. But does he reallyneed it? Too often, inorganizations, sub-counters, probes andconnected objects generatemassive but unusable oreven unnecessary data.Our method is progressive:we first centralize theenergy invoices andcontracts data. Thiscentralization gives thecustomer a first view of thedivision of the energyconsumption of its sites. Hethen collects the data fromhis energy meters, whichallows him to obtain a real-time visualisation. Then heeventually decides to deploya complete sensor solutionto be able to follow all itsenergy uses.The initial diagnosis thushas two functions: it notonly ensures a pooling ofresources and skills presentin the organization, but itallows a collection andcounting strategy adaptedto its objectives and itsbudget.

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Once the first audit has been carried out, the organizationdecides on the level of detail with which it wants to measureits consumption: building, factory, production unit,equipment ? The accuracy of the measurement is directlyrelated to the accuracy of the organization's objectives. Itcan begin with simple data, then refine its collection, as itdiscovers new avenues of improvement. Does it lack data ona specific use? We can accompany it in his counting plan.From the simple centralization of its historical to thevisualization in real time of its consumption of energy, thecustomer will find the adapted service.

Data Acquisition

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Invoices and contracts

Manual input and imports

The first step in thedeployment of an energymanagement system is thecentralization of all theenergy data of theorganization on the sametool. Our platformaggregates historicalconsumptions alreadyconstituted (indexes, dataheritage, operational ...) andconnects them to thecorresponding site. CSV,Xlm, source files, virtual IT-flows ... on the plateform, allthis information is nowhomogeneous andvisualizable.

The user can also exportdata as reports. Quickly, thesites of the organization aregeolocated on an interactivemap, and the user can seeat a glance the mainconsumption trends of hispark.

- Extract the informationfrom the web services of theenergy suppliers: thecustomer informs theidentifiers and passwords ofthe portals of his differentenergy suppliers and thealgorithm directly requestssource files (contracts,invoices) to extract billingdata.

- Integrate supply IT flows:Some vendors canimplement automated ITflows that feed youraccount with your billingdata.

Energisme collaborates withthem to extract information.

Energisme has developedseveral mechanisms toautomate the input ofinformation coming frominvoices and energycontracts :

- Recognize the charactersof invoices (in native PDFformat): the invoice files canbe deposited on theplatform by simply "dragand drop". Our algorithmdeals with extracting andaggregating informationrelevant to the energymanagement of the site.

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Utility meters

EnerTIC

Suppliers’ energy meters(water, gas, electricitysupply points) collect datathat is only accessible bythe electricity grid operators(Enedis, formerly ERDF) andis not supplied to thecustomer.

However, when thiscustomer wants to takecontrol of his energyconsumption, he needs thisinformation. It is thereforeforced to opt for expensiveand restrictive solutions:these are mainly "machineto machine" type measuringsystems with which thecosts of installation,connection to the mainsand use accumulate.

Often without technicalknowledge, he is completelydependent on the installerfor the deployment of hiscollection system. It alsohas the ability to read theindexes manually. But if thismethod is conceivable forone or two buildings, it ishardly achievable for aproperty inventory.

The EnerTIC is a sensor thatprofessionals plug into theirenergy meters to track andreduce consumptions oftheir buildings.

Its installation is fastbecause it does not requiretechnical knowledge. Onceinstalled by the customer, itsends the energy data(quantity consumed,amount, period, powerreached ...) in real time andcontinuously on theEnergisme platform.

On this platform, in additionto valuing its consumptionhistory, the manager cannow follow its buildings inreal time. Within a few days,he deployed a completemonitoring system for theenergy consumption of itsestate.

Scan the QR code with the Enerdevice application

Connecting the Enerticsensor to the RJ45 jack

Download the Enerdeviceapp on your mobile

Validate the address of the site where the sensor isinstalled

Confirm sensor recording

7 days after the installationof the box, the EnerTICservices will take in charge the demands of the user

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EnerTIC installation

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Sub-meters, sensorsand probes

Technical Focus

For the communication of the sensors to theconcentrators, we use radio or wiredtechnologies (169 or 869 MHz). Our gatewaystransmit information either by using a SIMcard (M2M 2/3/4 G) or via an internetconnection available. Depending on thecomplexity of the needs, the typology of theinstallation to be realized, the field constraints,we choose one or several gateway solutions(Sigfox, LoRa, NB IoT).

Sensors, probes, sub-meters... the customer canadd more precision in his counting and weighthis energy uses (heating, air conditioning,ventilation, steam, lighting, driving force ...),fluids (water, natural gas, compressed air, steam,etc.), energy consumption (electrical, thermal,refrigeration, etc.), but also measure theinfluencing factors (internal or externaltemperatures, air quality, presence, volume ofmanufacture, pressure, level of attendance, etc.).

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M2M & PaaSMonitoring BEMS, CTM,

CAPM

Existing systems oncustomer sites sometimesoffer a wealth of informationon the energy use ofbuildings and processes.They provide key data onthe consumption profile of abuilding. However, thesesystems are limited as partof a comprehensive andcoherent multiple sitesmanagement. Indeed, theirrigid design segregates themanagement of eachbuilding, and prevents anycomparison of databetween several buildings.To overcome this defect, theclient has the possibility tointerface GTC, GTB andPLCs with our platform. Hewill thus benefit from acentralized monitoring of itsentire estate.

M2M networks are destinedto take a growing place inorganizations. From a set ofrules pre-programmed bythe user, they allow apartially automatedmanagement ofinfrastructures andinstallations. And as theprocesses get moreautomated, the user takeson a more important role ofmonitoring and analysis.

By centralizing the data ofthe different equipments ona single platform, it hasoperational data for a real-time optimization of theperformance of itsinstallations.

Technical Focus : BEMS, CTM

When gathering data fromexisting building managementsystems, many informations willbe available to the manager :

▪ Power supply▪ Emergency power

(generators, batteries)▪ lighting▪ The vertical flows▪ Heating, Ventilation and Air

Conditioning (HVAC)▪ Plumbing (lifting pumps,

tanks ...)▪ Access control▪ Video Surveillance▪ Fire (alarms, extinction

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IoT & Low-Power Wide-Area Networks

With the emergence of theInternet of Things, low-bandwidth networks arebecoming increasinglyimportant. It is thesenetworks that make itpossible today to collectcontinuous data inorganizations : sites,infrastructures, processes,installations and theseworking environments cannow be monitoredcontinuously, at anaffordable cost.

Thus, with the Energismeplatform, the manager is notlimited to the managementof his energy. It alsomanages all its connectedobjects. On the platform, itcan :

- configure and monitor itssensors / probes on thenetwork of its choice (LoRa,Objenious, Actility, Orangeor SIgfox)

- define a tree of its datapoints that integrateshierarchical relationships

LPWAN Focus

Low-flow networks are thefuture of energy dataacquisition.

- Low energy consumption :the networks of connectedobjects are aimed at energy-efficient objects and sensors.

- Long range : low-bandwidthbroadband networkscorrespond to free frequencybands (868 MHz). At thisfrequency, the range isseveral kilometers in the openfield, at a low rate.

- Low cost : infrastructurecosts are drastically reducedcompared to operating a 2G /3G / 4G network.

The use of low-flow networksgives our company a uniquemetering ability in the energymanagement market.

▪ To enrich this tree withmassive imports of Excelfiles

▪ consult the status ofeach monitoredequipment, in two clicks

▪ be alerted to the statusof a sensor.

Among the possibilitiesoffered by these newnetworks are the real real-time supervision ofbuildings, the triggering ofalarms according topredefined conditions, themaintenance of theinstallations ... Theapplications are countless,and all lead to betterbusiness intelligence.

Once the organization hascentralized all of its IoTmanagement, it now has tosynchronize the functioningof those objects with eachother.

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Data Processing

Volume of data, variety of sources ... the more anorganization moves forward in data collection, the morecomplex the processing and valorization of these data. And ifthe manager does not want to find himself very quickly with a"data cemetery", he must follow three very simple rules.

The first is the qualification of the data collected. That is, theability for any user to identify the source and nature of thedata he consults.

The second is reliability : we do not build a global strategy onshaky foundations. Timestamping, synchronization ofsources on a single time step, data holes management andcertification are all components of this reliability.

The third rule is the automation of the data acquisition andprocessing. This automation should allow the user toconcentrate on tasks with higher added value than themanual indexing input or the management of multiple Exceltables ... logically, this rule depends on the first two, becauseone does not automate a process that has not beenpreviously tested and proven.

These principles form the basis of each new project. Withoutthem, the services added will form a sand castle destined tocollapse.

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A state-of-the-art information system

The decentralized architecture : in a cluster, allthe nodes are equal. There is no notion ofmaster, slave, or authority that would beresponsible for overall management. Thishorizontal organization means that theprocessing of client operations (querying andimmediate calculations) is distributed in realtime between several data centers,guaranteeing low latency for the end user.

The elasticity : the base adapts in real time tothe volume of data generated by theorganization. It adds nodes in its clustersaccording to the load rate, without systemdowntime or interruption of applications. Thesize, structure and nature of the informationare not important: their processing isdistributed equally across several clusters. Thevolume of data increases? Clusters of serverscan be added in a few clicks..

Energisme is now the only player in the energymanagement market to use a NoSQL databasemanaged with the Cassandra middleware. Thisconfiguration gives us virtually unlimitedcapabilities for processing, aggregating, andorganizing customer data on the platform. Thisis why it is used by major groups like Microsoft,Facebook, Ebay or IBM: it is the optimalresponse to the problems posed by thegeneration of massive, unstructured data ofdifferent natures. If we want to understandwhat differentiates this basis from otherexisting tools, we must mention :

The distribution of data : the data of a node(designation for an instance of Cassandra) isautomatically replicated to other nodes(different machines). Thus, if a node is out ofservice, the data present is available on othernodes. By calibrating the replication factor, onecan change the number of nodes where data isreplicated. Another instance of Cassandra isreferred to as a cluster: it is a group of at leasttwo nodes. Data centers, for their part,designate delocalized clusters. WithCassandra, replication can be done on differentdata centers. The individual points of failureare therefore non-existent and the nodes thathave fallen can be replaced withoutunavailability of the service.

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The Data Model :Cassandra's data model isbased on a dynamicschema, with a column-oriented data model. Thismeans that, unlike arelational database, it is notnecessary to model allcolumns since a rowpotentially does not havethe same set of columns.Columns and their metadatacan be added by theapplication when necessary.

In fact, Cassandra's datamodel has been designed toaddress distributed dataissues and is completelydifferent from a traditionalrelational database modelwhere data is stored intables that are, in mostcases, in relation to eachother. Moreover, in arelational model, the dataare generally standardized.In order to avoidredundancy.

In short, each data familyhas its set of columnsintended to be consultedtogether to satisfyapplication-specific queries.

Haï Tran, Technical andInnovation Director atEnergisme:

We put the agility and powerof the cloud at the service ofthe energy performance oforganizations.

Joins are made betweentables on common keys tosatisfy queries. InCassandra, the keyspace isthe data container of theapplication (much like adatabase or schema for arelational database). Inthese keyspaces are one ormore column families(which correspond torelational database tables).

These column familiescontain columns and a setof related columns that areidentified by a line key. Also,each row in a family ofcolumns does notnecessarily have the samecolumns as another row.Finally, Cassandra does notimpose relations betweenthe column families in thesense of relationaldatabase: there are noforeign keys and the joinsbetween families ofcolumns are not supported.

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A MULTI-TENANTS CONFIGURATION

This database is easily partitionable, allowing us to adapt our software to thespecific storage needs of the customer, but also to the needs of indirectcustomers or customers of indirect customers. A user wants to change the colorof his interface? Change the business rules and formulas that dictate the return ofits data? We give him acess to a part of our own software, which he cancustomize to envy (but he will never have access to the source code of the

platform). In the same way, the use of a NoSQL database under Cassandrawill allow it to query its data with the criteria of its choice. The agility of thisIT architecture enables us today to propose customized human-machineinterfaces adapted to the user's working environment, whether it be a sociallandlord, a hospital director or a factory manager.

AN OPEN ARCHITECTURE

Our platform is designed on an open model, ensuring complete interoperability withthe customer's IT systems. During the initial configuration, it can integrate itsoperational data into its energy management interface, or add its energy managementto the applications already used by its organization (CRM, ERP, accounting software).Depending on the expectations of its company and the existing applications, thecllient will also have the choice between a private cloud, public or hybrid.

MAINTENANCE

On the platform, the user is not only limited to the management of his energy. He oversees itsentire data collection and processing infrastructure in real time. It manages its systems ofmeasurement with continuous analysis on the source of the data and the statutes of thosesources. He detects and resolves equipment failures before they occur. This monitoring alsoprevents fraudulent operations ... in case of abnormal behavior, he will be immediately alerted.Until the end of its contract with Energisme, the customer benefits from a maintenance inoperational conditions of all its infrastructure (sensors, servers, applications ...).

SECURITY

-Iso 27001 (certification in progress)This standard sets out the different aspects of computer security in the organization. At the endof its implementation, the company benefits from an information security management system.Currently deployed across our infrastructure, this device minimizes the risk of incidents bycreating evaluation indicators at each stage of the chain. These indicators will reduce the levelof risk continuously, guaranteeing high standards of computer security.

PremiumSupportAs a Gold partner of Microsoft, Energisme offers its customers maximum security on their cloudinfrastructure. Microsoft protects this infrastructure, monitors the service for anomalies, and providesprotection against denial-of-service attacks, as well as detection of fraud and abuse. The principles of thissecurity are divided into three categories: the first is protection, which covers components such as identity,access and vulnerability management. The second is detection, which covers auditing, logging, monitoringand intrusion testing. The third category is the reaction: this covers the confinement of the breaches andthe customer notification.

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IPMVP : the international standard for energyefficiency

The IPMVP is a measurement and verificationprotocol. It allows an assessment of theenergy-saving potential in terms of the cost toimplement it. The final objective is to determinethe return on investment of an energyimprovement operation carried out on a site.Savings are determined by comparingmeasured consumption before and after aproject, while making adjustments to accountfor changes in conditions.

Measurement and Verification activitiesinclude some or all of the following:

- Installation, calibration and maintenance ofmeters;- Data collection and processing;- Development of an acceptable calculationmethod and estimates;- Performing calculations with measured data;- Monitoring, quality assurance and verificationof reports by a third party.

This protocol is already integrated in all thestages of our project management, from thedata collection to the generation of useful andexploitable reports.

ISO 9001 (Certification in progress)

This standard defines the criteria for amanagement system in place to guaranteeoptimum quality of the service delivered to thecustomer. To be fully efficient, it requiresunilateral commitment from management. Itputs the customer at the center of theimprovement process.

It also requires a careful approach to theorganization's business processes. Far frombeing a decorative label, the Iso 9001 isintegrated into every aspect of our business. Itallows us to continuously improve ourinteractions with the customer, from the firstcommercial contact to after-sales service.

Quality

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Using energydata 5

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A collaborative tool

Dynamic Mapping

Energisme has the will to meet therequirements of all the stakeholders of itscustomers, namely purchasers, accountants,Energy Manager, directors, operators, ...

For end users (operators, tenants, ...),Energisme is able to create playful and didacticvisuals. On one tool, all the stakeholders of theorganization thus pool their skills to carry outthe projects. The software environment, simple,user-friendly and ergonomic, allows each userto get an optimal grip.

The layout of the pages and the scale of thegraphics are automatically managed by thesoftware to adapt to the size of the screen.

This feature allows you to access thegeolocation of the sites on an interactive map.A list of icons is used depending on the type ofsite. The icon color can be modified accordingto the needs expressed.

In this mapping, the client will be able toappreciate a macro view of the different statesof the sites via a change of colors of the iconsas soon as alerts or anomalies of consumptionwill be observed.

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Management of energy supply contracts

Energisme offers simple or complex refundsaccording to the customer's needs in order tofollow the suppliers contracts in time.For complex organizations, CSR reports aresimplified because Energisme platform canconsolidate consumption data and CO2emissions over a given period of time.

The energy buyers then have globalinformation according to the different suppliersor lots in their portfolio. It is therefore easier forthem to compare and negotiate because theycan see at a glance the financial sums andcritical stakes. Having all the information onthe invoices also reveals a quite differentadvantage, that of detecting drifting contracts.

Energisme has developed an algorithm thathighlights contracts in default. The contractmanager has only to focus on these, for abetter optimization of his time. It will also haverouting calculation tools (TURPE) to assess thesavings due to an optimized powersubscription.

An adjustment to the energy contract is thefirst step in achieving a tariff economy.

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Multiple sites benchmark

Weather data integration

The DJUs (Unified Day Degrees), commonlyused by Energisme, are calculated by theCOSTIC, a body recommended in the GeneralTechnical Clauses (CCTG) of Public HeatingOperations Markets. Other data sources can beintegrated depending on the requestedfunctionality and specific constraints.

Energisme is also able to recover open sourceweather data at hourly intervals. Thisadditional functionality makes it possible tohave day degrees calculated day by day butalso of degrees hours, which is a veryinteresting notion to integrate when modellingthe heating needs.

Once set, the tool generates benchmarks on allthe sites or per group of sites. These allow tohave a macro vision of the buildings veryquickly and to point the sites presenting glaringdiscrepancies.

Energisme has developed a set of dashboardsrelevant for the analysis of multi-site data,depending on the fluid concerned and/or theseason, with possible cross-checking betweenmeasured data and data collected via invoices.The platform offers the possibility to visualizeand exploit information in the form of graphs,tables and visuals, by type of energy, energyuse, site, group of sites, workshop, subsidiary.... It also monitors simple indicators that takeinto account influencing factors (examples ofsimple indicators: kWh / m2, kWh / m3, kWh / T...).

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Dashboards

The Energisme platform offers statistical toolsto mathematically model energy consumption.When they are simple to deploy (with variablessuch as the climate or occupation days), thetool automatically creates them. For morecomplex solutions, the user defines, tests hisinfluencing factors and chooses his models.

Energisme's data analyst and energy teams arein a position to assist you and offer specificsupport. These analyzes are based onintelligent self-adaptive algorithms. They willassist you in calculating return on investments.

The software interface allows the user to displaymultiple curves, graphs, pie charts, tables.Dashboards can be defined and parameterized.The visualisation is fully customizable and can :

- Display data in 10-minute time on daily,weekly, monthly, seasonal,

- Choose the time step and the type of display ofthe multi-fluid consumptions and thetemperatures,

- To display a graphic or set of default charts.

Prediction models

▪ To display comment tooltips indicating thedata when the cursor is hovering(timestamp, power, value, ...),

▪ To display full and hollow hours,

▪ To display in versus mode two graphs toallow a quick comparison between two sitesor group of sites,

▪ Display multi-site and multi-fluid graphs,

▪ To organize benchmarks according to unitsof works,

▪ To appreciate complex recovery such asenergy signatures.

The energy expertise team will guide youtowards the pre-parameterization of the ratiosand indicators in order to achieve a tangibleinterpretation of the indicated consumption.

This analysis thus gives elements of decisionsupport to the user enabling him to optimizehis energy consumption either directly byinterpreting the evolution of indexes as afunction of time, or via the programmed ratios.

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Improvments actions follow-up

Drifting alerts

The Energisme platform offers you to set upoperating alarms. These will be sent via e-mailor SMS to the designated internal or externalcontacts. All recorded events are archived andthe history can be consulted.

Three levels of alarms are implemented:• Threshold violations, whether high or low, analert is implemented at the crossing of a value,• Differences to a ratio, according to an energylabel or an incentive contract,• Derivatives comparative to a predictive model(the desired sensitivity will be defined).

The alarm settings are accessible via a user-friendly and intuitive interface.

The energy consumption monitoring toolprovides information on the efficiency ofimprovement actions. Each action is describedand has implementation dates. It is thenpossible to quantify the savings generated bythe action, relative to the reference situation.Thus, over the long term, it is possible tomeasure the benefits of one or moresuccessive actions.

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Reports Edition

The platform allows the automatic and periodicdistribution of personalized reports (by email)to the various users (managers, operators,workshops, etc.) and to all hierarchical levels(via a distribution list).

The data returned follow the codifications andreferences defined by the customer. Theyinclude the possibility of establishing all sortsof balance sheets, classifications andcorrelations between consumption, indicatorsor units of work according to adjustableperiods.

The Energism platform allows the editing ofreports.It automatically provides simple reports. Whenthe needs are specific and unique for a givencustomer, Energisme is able to developdedicated reports.

Reports can be customized for a user or groupof users and can be automated. They aredirectly, searchable, printable and exportable inWord (.doc), (.PDF), (.csv) or (.xls) formatdepending on the user's access rights.

The reports produced by the Energismesoftware and enriched with more than 10 yearsof experience in the field have becomeindispensable tools to accompany a reductionof consumption and their carbon footprint.

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As we have just seen, on the platform, the datacollected by the client can be requested andcan be exploited using a standard set of tools.The Data Services brick provides a library ofalgorithms for the exploration of energy data.Among these algorithms, we can quote thefollowing examples:

- Classification algorithms that provide one ormore discrete variables, depending on theother attributes of the dataset. Thesealgorithms are used, for example, to classify abuilding below or above a referenceconsumption.

- Regression algorithms, integrating one ormore continuous variables influenced by otherattributes of the dataset. These algorithmsmake it possible, for example, to identify thelevel of correlation existing between aninfluence variable and the consumption level ofa site.

- Segmentation algorithms, whose role is todistribute data in clusters of elements withsimilar properties. This type of algorithm canbe very useful for classifying its sites orfacilities according to their consumptionprofile.

• Association algorithms look for correlationsbetween different attributes of a data set.They will be used, for example, to identifysilent variables that have a significantimpact on the total consumption of abuilding.

• Sequence analysis algorithms, whichsynthesize frequent sequences or episodesin data, as a series of events occurring in alog and preceding the maintenance of amachine. Once this type of series isidentified as a recurring principle, itbecomes easy to predict the next series ofevents.

On the platform, a tutorial guides the new userin choosing the correct algorithm. Existingmodels are not suited to its purpose? He canassemble a new algorithm from the bricks weput at his disposal.Does the client organization already have ateam dedicated to data mining? This team canlaunch its own analyzes with its algorithms. Orcombine a library algorithm with its own code.

With this tool, data scientists take a leadingrole in the energy management strategy of theclient organization.

Data Services

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Microservices6

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Invoices Application

Bordeaux Metropolis

Context : +/- 1000 sites, 40 000 annualinvoices, one team dedicated to energymanagement

Result : an immediate deployment, anautomated energy contract management

Objectives by the end of 2017 : deployment ofmultiple energies sensors on 100 sites

In organizations, it is not uncommon forbuilding managers to manage theconsumption of their sites on an Excelspreadsheet. Creating and updating thistable with the relevant data is repetitive andtime-consuming... and the input timeincreases with the volume of documents. Notto mention the analysis: how can one exploitthe data collected from several hundred billsof electricity, water, gas, coming from adozen different buildings?

After subscribing to the Invoices Application,invoices and energy contracts hosted on thecustomer's various accounts (water, gas,electricity) are automatically sent to hisaccount Energisme.

From there, the algorithms recognize theinformation fields of the documents in orderto extract the pertinent data. These data canthen be consulted by type of energypurchased, building type, period, energyprovider ... The visualization options arealmost unlimited.

All the buildings are assembled on aninteractive map. A problem on one of them ?The customer receives a notification, andaccesses the detail of the site in two clicks.But the platform does not stop with simplevisualization: very quickly, the client knowsthe amounts that he spends for each use. Itcan define its intervention priorities, identifycontractual anomalies and be automaticallynotified when a consumer item is drifting. Itadjusts its contracts to its real energy needs,it optimizes its budget and optimallymanages its calls for energy offers ... thereare many possibilities.

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Business applications

Interview with Clément Metzger, EnergyEfficiency Manager at Energisme

The Energy Efficiency Manager of Energismetalks with us about the «Boiler Application»,an application that allows to monitor,analyze and understand the energyperformance of the heat production systemsof buildings.

Lightning Steam Cold HVAC

Boiler

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Why create an applicationspecifically for boiler rooms?

Energisme has alwaysdeveloped its servicesbased on a field survey. It isby interacting withstakeholders on concreteprojects and issues that weget to know what they reallyneed. The Boiler Applicationis therefore the result of aresearch and survey workwith the actors of thebuilding, the challenge beingto bring a solution ascomplete as possible andwhich allows an almostimmediate control by thewhole actors.

How does the deploymentof this service take place atyour client?

The first step is what wecall in-house "pre-analysis".It is a first audit of the on-site equipment, theoperation of the building,the data already collectedby the customer andpotentially exploitable ... it isto know the energy maturityof the manager. It is thismaturity that will dictate theway forward : interfacingwith existing equipment,counting plan to install newmeasuring equipment,training users ... theapplication will be able toadapt to different contexts.Whether the user simplywishes to centralize hisexisting data (consumptionhistories, equipmentcharacteristics, etc.), tomonitor the real-timeperformance of hisinstrumented boilers, or touse statistical models toevaluate the performance ofan energy renovation, l Theapplication will allow it.

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Do you have any examples of the applicationfunctionalities ?

One of the basic features is the tracking ofconsumption profiles. For example, the sensorswe use will allow the user to visualize theproduction temperatures for heating or DHWheating. With this first tool, preventivemaintenance is improved: anomalies areidentified as soon as they occur. For example,regulations impose limit temperatures on theDHW network, and we provide adequatemonitoring.Comparing consumption profiles betweendifferent sites is a second approach. By settingup energy benchmarks, the user can prioritizehis reflection. Rehabilitation actions will bebased on actual energy performance. Afterhaving instrumented the inputs and outputs ofboiler rooms, the application analyzes theperformances and offers intelligent andadapted restitutions. Thus the owner canappreciate the rate of charge or theperformance of his equipment over time. Hewill know the intensity of use of his boilers andwill be able to resize the heating elementsadequately if he decides to replace them. Theenergy signature will qualify the consumptionaccording to the external parameters(temperature and m3 of DHW mainly).

3F Real Estate

Context : 300 housing, 1000 tenants, 6employees in charge of energy management.

Result : 2500€ in setup costs, 1000€ ofmonthly subscription, equivalent of 10000€ inenergy savings on the first year.

Long-terme objectives : 900 boilers to monitorin the Ile de France region, automatedmanagement of energy contracts

It is a very interesting tool to appreciate thegood regulation but also and especially toquantify the energy savings generated by anaction. When an external service providermakes performance commitments vis-à-visthe owner, for example 5% savings, it isnecessary to have tools to validate them.Otherwise how can we ensure that theconsumption has decreased thanks to themandated company? Other events,independent of the service provided, can varyconsumption: more responsible behavior onthe part of tenants, decreasing attendance,renovations on the building ... In some cases,the efficiency of the service is Widelyoverestimated by managers because they didnot integrate these other variables into theirmodel. And beneficiaries' interest in savings isnot always well founded. With the energysignature, the owner thus knows the share ofresponsibility of the service provider in thereduction of consumption. He is even able toknow what his boilers would have consumed ifhe had decided not to change anything. As partof an Energy Performance Contract, it has allthe tools in hand to monitor, evaluate andjudge the actions of the provider.

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Colas Group Application

Objective : Colas aimed to monitor the productionand consumption of energy in its asphalt stationsaround the world. The group therefore needed acentralized energy management systemintegrated at all hierarchical levels of itsorganization. To meet this demand, Energisme hasdesigned, developed and implemented acustomized application, integrating monitoringand analysis tools that meet the specific needs ofeach employee in the organization.

Results : Today, in the Colas posts, postmastershave a consolidated production report. In case ofabnormal temperature, they are alerted in realtime. Regional managers can compare theconsumption of their jobs and thus establishenergy performance rankings that will allow themto prioritize their improvement actions. In addition,monthly reports are sent to management, whichcontinuously monitors and improves the savingsplans deployed at the sites of each subsidiary.For the group, this application is both acompetitive advantage and a tool to improve itsenvironmental impact.

CustomizedApplication

In the chronology of the deployment of asolution to a client 'Grand Compte', we candistinguish two phases :

- The initial configuration, which requiresagility: the initial specifications, thespecificities of the user's working environment,the internal structure of the organization, thedesign of the interface in accordance with thecharter Graphic of the customer (dashboards,reports, menu, etc ...) are all factors to take intoaccount in the roadmap.

- The industrialization, which requiresscalability: taking into account thecomputer architecture described above (seePart "Data processing"), the massification ofthe deployment is easy, regardless of thevolume or nature of the data collected.

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Machine Learning as a Service

Thierry Chambon, CEO, Energisme :

We have standardized the application ofMachine Learning on more than 100 Colasplants

In the Colas factories, the head of post has anend-of-day report on the number of tonnes ofasphalt produced. This report provides ahistory of how the channel operates throughoutthe day, but is limited to a description of pastevents. The objective was to give Colasheadmasters a real-time view of the level ofproduction of their positions.

Modeling variablesEnergisme was already collecting a number ofdata on Colas' production environments: theelectricity, gas, water and temperatureconsumptions of the substations wererecorded in real time by an industrial PC. Thenext step was entrusted to our data-scientiststeam: they had to model the production ofasphalt mix according to the data collected onthe environment of the plant. In other words, bycreating an algorithm that combines differentdata processing methods, and then by feedingthis algorithm in real time with the data of astation, Colas would be able to deduce in realtime the production level of this station.

One algorithm, several usesThe algorithm used combines heuristic modelsand learning models (array of artificialneurons). Initially trained with one year of data(all end-of-day reports of one year), he was

then to be deployed on all the factories byadapting to the specific data of eachenvironment. SoDeployed, this type of algorithms has manyuses.

PredictionOnce the correlation between consumption andfinal production is correlated, the user canpredict his production based on future data ...but also predict his energy needs according tothe expected production level!

Error detectionThis correlation also makes it possible toidentify events that can not be detected by thehuman eye. Let us assume, for example, thatthe energy consumption of a process increasesprogressively over the months, all other thingsbeing equal. At first insignificant, thisoverconsumption can very quickly becomeimpacting on the expenses of the company.The algorithm is therefore able to prevent andidentify long-run drifts. Moreover, once thealgorithm is deployed on several sites, areference consumption is defined. Thisreference will evolve according to the datareturned by each post, allowing an evolutionarybenchmark of the Group's sites! A positiondoes not fit the standards? The subsidiarymanager is notified in the monthly report sentby the Colas application.

RepairsOnce the predictive model has been tested, theuser can implement predictive maintenance onhis stations. The data collected by the sensors,coupled with the equipment history (frequencyof maintenance, number of failures over thelast 3 months) are analyzed by the system. Ifthe user identifies a potential risk, the user willalso receive a notification.

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Blockchain as a Service

Traditionally, when an organization wants torun a web application, it uses its own servers. Itcentralizes user data, but users do not haveaccess to it:

- The organization operates the registrationand validation of transactions taking place onits application

- The organization defines and updates theoperating rules of the application

- The organization ensures the robustness ofthe system set up: if the main node it uses tohost the application crashe, there is no moreapplication.

With the blockchain, everything changes. Thisdatabase, previously managed and updated bya central organization, is now hosted in allnodes of the network, at each user. A newtransaction occurs between two users? Thistransaction is processed and validated by thenetwork before being updated in each registry:all users then have a complete history ofsystem transactions.

When blockchain technology is applied toenergy, the impact is phenomenal.

Lyon Confluence Project

During the last Microsoft Experience Days,Energisme presented its demonstrator of ablockchain applied to energy.

The objective of the project? Enabling energyself-sufficiency at the level of a neighborhoodby bringing producers and consumers directlyinto contact. The energy produced by thephotovoltaic panels placed on the roof of abuilding is redistributed to the occupants of thebuilding.

An overflow of energy produced on a building?The blockchain is used to certify real-timeredistribution to neighboring buildings.

Thus, a Smart Grid network supported by ablockchain ensures an optimal localrelationship between production andconsumption of renewable energy. In the longterm, one can imagine a system in charge ofthe connection between buildings,neighborhoods, electric cars, storage facilitiesand businesses, where each consumer canbecome a producer.

Olivier Sellès, Head of Innovation andSmart City of Bouygues Immobilier:

We want to allow the inhabitants of an eco-neighborhood to benefit from certified localenergy from the photovoltaic panels in theneighborhood. We hope to equip a building atthe beginning of 2017 in Lyon and then in othereco-districts in France as soon as the pilot hasdemonstrated all his possibilities.

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Ecosystem7

Our philosophy is to federate a dynamic ecosystem, at thecrossroads of Big Data and energy. By pooling all the necessaryskills, we structure and accompany the digital transformation ofour customers.

Pierre VIDAL, Associate Director at Energisme

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References

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IT Partners

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One Team. Several expertises.

The Energisme platform is the result of aresearch and survey work carried out amongthe building actors, the challenge being toprovide a solution as complete as possible andwhich allows an almost immediate control byall the actors of the building. This is madepossible by the joint work of energy efficiencyexperts, user experience designers and data-scientists. Their different expertisecomplement each other and allow the design ofa relevant, simple and scalable tool.

Energy Management IoT

Informatic Development Data Science

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Marc BUI

EPHE

Head of Human and Artificial Cognition Laboratory

François STEPHAN

IRT SystemX

Deputy General-Director for International Development

David MENGA

EDF Lab

Research Engineer

Andrea MASINI

HEC Paris

Managing director of MBA – Energy Speciality

Scientific Comittee

Etienne GAUDIN

Bouygues

Head of Innovation

Thierry BRAINE-BONNAIRE

MECD (Venture of four institutes dedicated to building issues)

President

This committee aims to anchor Energisme in disruptiveinnovation and to forge links with research laboratories.

Thierry CHAMBON, CEO of Energisme

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Contact us

Pierre VIDAL

06 65 35 33 3201 81 89 33 91

pierre.vidal@energisme.com

www.energisme.com

ENERGISME SAS immatriculée au RCS de Nanterre sous le numéro 452 569 782 0003488 Avenue du Général Leclerc, 92 100, Boulogne-Billancourt

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