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Akira Miyoshi Kinetic Modeling for the Insight into Combustion The 54 th Symposium (Japanese) on Combustion (Sendai, Japan) Nov. 23, 2016 1 Department of Chemical Systems Engineering, University of Tokyo 燃焼をわかるための化学反応モデリング

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Page 1: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Akira Miyoshi

Kinetic Modeling for the Insight into Combustion

The 54th Symposium (Japanese) on Combustion (Sendai, Japan) Nov. 23, 2016

1

Department of Chemical Systems Engineering, University of Tokyo

燃焼をわかるための化学反応モデリング

Page 2: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

2 Selecting Kinetic Models

hierarchy of combustion kinetic mechanisms

• Fuel ............................

• High-T & Low-T oxidation

• Sub-mechs (NOx, PM/PAH, etc. …)

Flame propagation- need High-T mech only (usually!)- small fuel dependency

Autoignition- require both High-T & Low-T- strong fuel dependency

• Reduction

Nearly automatic down to 1/5~1/10- ANSYS Reaction Workbench(license for which is now included in academic labo license)

Page 3: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Kinetics of Autoignition

3

Page 4: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

4 Branched Chain Reactions

H + O2 OH + OO + H2 OH + H

OH + H2 H2O + H—————————

net: 2 H2 + O2 OH + H + H2O

H2-O2 - Typical branched chain reactions (Chain Explosion)

λmax > 0 ... diverging term

zyx

RRRRR

RRR

zyx

321

21

321

0

i

iii

ta esx

Chain carriers cannot be cancelled out

H OOH

branch

exponential growth exp(λmaxt )

• Selfmultiplication of chain carriers Autoacceleration Explosion

x = [H], y = [O], z = [OH],R1 = k1[O2], R2 = k2[H2], R3 = k3[H2]

Jacobian Matrixremains unchanged during the induction period where p, T and x are nearly constants

Page 5: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

5 Autoignition Limit : λmax = 0

H + O2 OH + OH + O2 HO2

O + H2 OH + HOH + H2 H2O + H

zyx

RRRRR

RRRR

zyx

321

21

3241

0

λmax < 0slow rxn

λmax > 0explosion

i

iii

ta esx

Autoignition Limit of H2:O2 = 2:1 mixture

Jacobian Matrix

The 1st and 2nd explosion limits can be explained by nearly constant Jacobian matrix

Page 6: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

mol

e fra

ctio

ns

mol

e fra

ctio

ns6 Autoignition of Alkanes

Before Cool Flame: Chain-Reaction Controlled (chain explosion)

After Cool Flame: Thermally Controlled (thermal explosion)

Ignition mechanism depends on the condition !

λmax

Page 7: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

mol

e fra

ctio

ns

0 1 2t / ms

20 atm, 714.3 K(OH addition)

x0(OH)= 1 10 8 total ra

dicalRO 2

QOOHO 2QOOH

OH

R

HO 2

H 2O 2

total XOOH

KetOOH

Active Species Addition7

• x(OH) ≈ x(total radical) → independent of species added• x(OH) promptly decays to steady state → robust steady state• Additive effect diminishes exponentially with time

Page 8: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Low‐Temperature Oxidation Steady State8

OH R RO2 QOOH O2QOOH

OO

OOH

OOH

OO

OOOH

KetOOH

OO

O

+ OH

+ OH+ OH

+ HO2

+fuel +O2 +O2

HO2

subetantial‘branching’

‘propagation’only

• Reactions up to KetOOH formation are Straight Chain Reactions(No increase in active species)

• Only the decomposition of KetOOH is Chain Branching Reaction

substantial'branching'

Straight Chain ReactionsBranched

Chain Reactions

Page 9: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Livengood‐Wu (L‐W) Integral9

Assumptions: Autoignition occurs when the concentration of "pertinent reaction product

x" reaches the critical value (x)c. The rate of increase of (x)/(x)c is a function of T and p and equal to τ –1(T, p), reciprocal of the ignition delay time, τ(T, p), at this condition. This relation holds for all T and p during the piston compression and

expansion

J. C. Livengood and P. C. Wu, Proc. Combust. Inst., 5, 347–356 (1955).

ign

0 ,d1

t

pTt

2

1

1

(x)(x)c

ignition

2

1

1

(x)(x)c

ignition

2

(x)(x)c

1 ignition

condition-2

(x)(x)c

1

ignition1

condition-1

Page 10: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

mol

e fra

ctio

ns

RO 2

QOOHO 2Q

OOH

OHR

mol

e fra

ctio

ns

Integrand of Livengood‐Wu10

• Integrand is log(XOOH)or log(radical) for t < τc .

c> c <(a) τc dominant (b) Δτ dominant

c c

H. Ando, Y. Ohta, K. Kuwahara, and Y. Sakai, Rev. Automotive Eng., 30, 363–370 (2009).

• Integrand is heat for t > τc .

Page 11: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Autoignition of Gasoline/air (p‐dependence)11

• Shifts upper-right with decrease of p• Larger τ2 – τ1 separation at lower p

Page 12: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Difference between const‐p & const‐V12

• Essentially NO difference for τ1• τ2 is slightly shorter for const-V than const-p

Page 13: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Problem in Given‐V Simulation for RCM13

• Cool flame expansion cannot be reproduced in core-gas model• Deviation of from experiments where τ2 – τ1 separation is visible

1.1 1.2 1.3 1.4

10

100

1000 / TEOC(cgm)

exp.sim.

5.51 MPaCH4-C3H8(25%)

= 0.7

adiabatic core

EOCcompression cooling

timepres

sure

end ofcompression

Page 14: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Effect of the Change of Equivalence Ratio14

• Shifts upper-right with decrease of ϕ• Changes mostly τ2 but not so much of τ1

Page 15: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Flame Propagation

15

Page 16: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Laminar Flame Propagation16

0.5 1.0 1.50

10

20

30

40

50

• Laminar flame speed (S L0) decreases with pressure

and increases with temperature

Page 17: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Flame Propagation at High p and T17

puS

u02

1

100 cm s–1 under in-cylinder condition

Page 18: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

18 Laminar Flame Structure

• In-cylinder flame thickness: 10~20 μm (require submicron resolution)

— Structure & flame thickness

Page 19: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Flame Propagation vs. Autoignition19

• Autoignition kinetics affects the calculation of laminar flame speedat high temperatures (artefact - NOT true laminar burning velocity)

Page 20: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Flame Propagation vs. Autoignition20

• Small difference between RON~100 S5H (high-octane) & RON~90 S5R (regular)

1.5 mm

xu ignxu =3.5 mm

Page 21: Kinetic Modeling for the Insight into Combustionakrmys.com/research/symp161123.pdfAkira Miyoshi Kinetic Modeling for the Insight into Combustion The 54th Symposium (Japanese) on Combustion

Summary21

— Flame Propagation

• Autoignition competes under in-cylinder condition

— Kinetics of Autoignition

[before cool flame]• Chain carrier conc. increases exponentially with time, or

log x(radical) increases LINEARLY with time

[after cool flame]• Thermal ignition dominates