COMPUTATIONALLY EFFICIENT MODELING OF HYDROCARBON ... · Air, final combustion products Light...

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COMPUTATIONALLY EFFICIENT MODELING OF HYDROCARBON OXIDATION CHEMISTRY AND FLAMES USING CONSTITUENTS AND SPECIES K. G. Harstad * and J. Bellan *,** * Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 90019-8099 ** Mechanical Engineering Dept., California Institute of Technology, Pasadena, CA 91125 MACCCR Fuels Summit Argonne National Laboratories September 20-23, 2011 Sponsored by the Army Research Office under the direction of Dr. Ralph Anthenien

Transcript of COMPUTATIONALLY EFFICIENT MODELING OF HYDROCARBON ... · Air, final combustion products Light...

Page 1: COMPUTATIONALLY EFFICIENT MODELING OF HYDROCARBON ... · Air, final combustion products Light radicals/molecules (e.g. CH 3, CH 4, H 2 O 2) Radicals Stable Constituents The base =

COMPUTATIONALLY EFFICIENT MODELING OF HYDROCARBON OXIDATION CHEMISTRY

AND FLAMES USING CONSTITUENTS AND SPECIES

K. G. Harstad* and J. Bellan*,**

*Jet Propulsion Laboratory, California Institute of Technology,Pasadena, CA 90019-8099

**Mechanical Engineering Dept., California Institute of Technology,Pasadena, CA 91125

MACCCR Fuels SummitArgonne National Laboratories

September 20-23, 2011

Sponsored by the Army Research Office under the direction of Dr. Ralph Anthenien

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Outline• Background

• Concept description for chemical kinetics in a constant-volume perfectly stirred reactor

• Fuel pyrolysis in the presence of nitrogen (non-premixed flames)

• Flame model• Premixed• Non-premixed

• Results

• Summary and conclusions

• Future work

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Background

• Necessity to reduce the computational cost of chemistry in simulations of turbulent combustion

• None of the existing chemistry reduction schemes is considered the ultimate solution to the problem of chemical kinetic reduction

• Novel methods of reduction are still sought

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Chemical kinetics: The concept of a base

Species list

Light (we do not decompose) Heavy (we decompose)

Air, final combustionproducts

Light radicals/molecules(e.g. CH3, CH4, H2O2)

Radicals Stable

Constituents

The base = Light species + Constituents(26) (13)

For general alkane or alkene with air:

Remove NOx, C, C2, and N at this preliminary stage, and then,

The base = Light species + Constituents + N2(20) (13) (null rates)

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Kinetic model summary, 1 of 2

∙ n-heptane: 13 constituents, CH2, CH3, CH, C2H3, C2H2, C2, HC2, CO (keto), HCO, HO, HO2, OO, O

N c ≡ ∑ k113 N k

∙ iso-octane, PRF fuels, mixtures of iso-octane and n-pentane or iso-hexane: 14 constituents (C atom added)

N c ≡ ∑ k114 N k

∙ other aspects of the modelN ∗ ≡ Nn2

Nref

≡ T−T0T r,N∗

T r ≡ 2065N ∗0.06 w

w 1.51.3110.711.1 2

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Kinetic model summary, 2 of 2

R i ≡ dNi

dt reac dNi

dt heavies dN i

dt lights

dNi

dt heavies N cKG i − X iKL i

N cC p ,h ∑ i∈lights C p ,iN idTdt

−∑ i∈lights h iR i N cRu T refK h

C p ,h ≡∑ l∈heavies Cp,lN l

Nc

K h ≡ − ∑ l∈heavies h lR l1

R u TrefNc

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Findings from the kinetic model1. Nc exhibits a self-similarity with respect to θ, modulo T0 (600-1200 K), for a wide range of p0 (5-50 bar) and (1/4 to 4)

2. In the cold ignition regime (600-900 K), the self-similarity is independent of T0

3. The molar densities of O2 and H2O exhibit a quasi-linear behavior versus θ

4. Eleven species progress variables: the unsteady light species

5. The capability of the model was assessed from the viewpoints of predicting species, the temperature evolution and the ignition time.

- The species prediction was excellent in all cases, with the exception of the multivalued regions occurring for very rich situations.

- The temperature values were excellently to very well predicted, except for the temperature decrease from the maximum observed for rich mixtures.

- The ignition times were reproduced within percentages of those computed with the full mechanism.

6. The above evaluation was valid for all single fuels and mixtures considered.

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Fuel pyrolysis in counterflow diffusion flames

Non-premixed model- air jet counterflow to fuel/nitrogen jet- need estimate of fuel pyrolysis before mixing with air occurs- calculations performed using LLNL rates with Chemkin II

Results- rates minimal for T ≤ 900 K (≤ 1 s-1)- only 3 light species (H2, CH4, C2H4) are produced having mole fractions

as large as O(10-2); all other mole fractions are much smaller- a single rate form describes the rates of these species

N i N c K i, K i ai 1012 ′0.37 exp−Tp /T

• Tp= 2.9×104 K is the characteristic pyrolysis temperature• ’ is an effective equivalence ratio (air replaced by N2)• aH2,CH4 ≐ 0.35 + 4.25 woct – 2.7 (woct)2 0 ≤ woct ≤ 1 is the octane fraction in the PRF• aC2H4 ≐ 0.78 + 3.9 woct – 4.6 (woct)2

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Interpolation procedure for the rate functions

The reduced rate functions have the general form

where Tm and m are the temperature and at the initial fuel/air mixing; K is in s-1.

-Tables are generated numerically at fixed m and Tm.-The K rates are found by numerical interpolation. Detailed comparisons with the LLNL rates shows that this local interpolation isaccurate using

where s and T* are interpolation parameters.e.g.: s = (ln K2 – ln K1)/(ln m2 – ln m1 )

K f,m , T m , T − T m /T r, T r T rm , N N2

K Kf ms exp−T∗/T

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Flame model, 1 of 3

v r∙

McontinuityR 3

dRdx

momentum ≐ 1 − 1 − L 0

x0 x≠x a

dx / 0

L0 x≠x a

dx x ≡ R0 /Rx

species Ji Ji,light Ji,heavy

J i,light −n X iDT,id ln T

dx∑

j

D ijdXj

dx

J i,heavy −n∑l

D ildX l

dx≡ JH,i

k ∈ ensemble C

l ∈ ensemble H

i, j ∈ ensemble L

JH,i ≐ −nDH,id ln C ave

dx

DH,i ≡ 1n ∑

l

D ilN l ∑l

D ilX l X HD iH

C ave ≡ Ncn ∑

k,l

C klX l

A.

B. 2 1 − k 0x x ′ x

′0

x ′dx ′k determined by BCs; =1 outside the flame; is a cst, model parameter inside the flame chosen to minimize the residue to the momentum eqn.

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Flame model, 2 of 3

species Ji −n ∑j

D ijdX j

dx X HD iH

d ln Cave

dx X iDT,i

d ln Tdx

i and j to the unsteady light species and q to the quasi-steady light species

X u 1 − X H − ∑q

X q m X u

∑i

Yim i

D ia ≡ 1

X u∑

j

D ijX j .

Ji −n ∑j

D ij − D ia m

m j

dY j

dx BT,i

e dTdx

BT,ie ≡ X i

D T,i

T ∑q

D iq − Dia X q

T X HD iHln Cave

T − D ia X H

T

dY i

dx A

∙M

m iR i − ddx

A∙

Mm iJi

R i R i | lights R i |heavies R i |heavies N cK net,i

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Flame model, 3 of 3

energy q ≐ − dTdx− ∑

i

m im H

hH − hi Ji hH 1/X H∑ l X lh l

Cpm

dTdx

ddx

A∙

M dT

dx− A

∙M

dTdx ∑

i

Cp,im i− Cp,H

m Hm iJi ∑

i

h iR i − RuTrefN cK H

equation of state

p Ru Tv PR − bm ix

− am ix

v PR2 2bm ixv PR − bm ix

2

am ix ∑ p ∑ n X p X n apn T bm ix ∑ p X p bp

apn 1 − k ′ pp nn bp 0. 077796

Ru T C,ppC,p

pp T ≡ 0. 457236Ru T C,p 2 1 cp 1 − T red ,p 2/pC,p

cp 0. 37464 1. 54226p − 0. 26992p2

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Computation of Tm and m for non-premixed flames

• The original reduced rate model is based on premixed flow situations where the initial temperature and correspond to the fuel/air being completely mixed.

• For non-premixed situations, mixing occurs continuously through diffusion along fluid paths: the temperature and at which mixing occurs vary according to location.

• An assumption is made that mixing occurs continuously (no ‘puffs’) along the fluid path. This is valid for many, if not most, situations.

• Based on this view, the local mean ‘mixing temperature and ’ are estimated through

T m T T 0 /2

where T0 is the temperature at the first location where either there is non-negligible fuel in the air or non negligible air in the fuel. T0 is a constant for either side of the flow.

• At the location having temperature T the rates correspond to those computed from the tables using the local values of m, θ computed using Tm and m, and Tm.

Lean : m /2; Rich : m 2

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Transport coefficients

• Mass diffusion– need the full matrix of pairwise diffusion coefficients– base the pairwise diffusion coefficients on binary diffusion

coefficient models (Harstad & Bellan 2004a) and all-pressure mixing rules (Harstad & Bellan 2004b)

• Thermal conductivity for the mixture– model from Reid et al.

• Thermal diffusion ratios– based on the all-pressure model of Harstad & Bellan 2004b

• Inviscid fluid: – in principle the viscosity is not needed– in fact it is needed for the modeling of the thermal

conductivity

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Premixed and diffusion flames

• Premixed flames– Version A of momentum equation, large Pé (valid

outside but not throughout the flame); study the influence of diffusion for constant area flow

– Version B of momentum equation, general Pévalues (needed to compute through the flame peak)

• Counterflow diffusion flame– Version B of momentum equation, general Pé

values

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Premixed flames, large Pé

• Defined two parameters

• Based on a large Péclet number approach, i.e. convection dominates diffusion

• The equations are solved using a stiff integrator

i ≡ −m iJi/u0

i′ ≡ − i/Yi uD,i/u0

| i′ | 1

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Initial conditions

• 90% iso-octane and 10% n-heptane• 50% iso-octane and 50% n-heptane• = 1• (ρu)0=0.8 g/(cm2 s)• T0 prescribed• p0 prescribed• Constant area situation

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Premixed flame, large Pé; 1 of 5

90/10; p0 = 30 bar, T0 = 800 K; no diffusion

x (cm)

Nc

(mol

/m3 )

0 0.1 0.2 0.3 0.4 0.5 0.605

1015202530354045505560

p0 = 30 barT0 = 800 Kφ = 1

(Rates only)

x (cm)

T(K

)

0 0.1 0.2 0.3 0.4 0.5 0.6

800

1200

1600

2000

2400

2800

p0 = 30 barT0 = 800 Kφ = 1

(Rates only)

x (cm)

Noh

(mol

/m3 )

0 0.1 0.2 0.3 0.4 0.5 0.60

0.2

0.4

0.6

0.8

1

1.2

1.4

p0 = 30 barT0 = 800 Kφ = 1

(Rates only)

x (cm)

No2

(mol

/m3 )

0 0.1 0.2 0.3 0.4 0.5 0.60

10

20

30

40

50

60

70

80

90

100

p0 = 30 barT0 = 800 Kφ = 1

(Rates only)

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4x (cm)

0

5

10

15

20

25

Nh2

o(m

ol/m

)3

p0 = 30 barT0 = 800 Kφ = 1

(Rates only)

x (cm)

Nco

2(m

ol/m

3 )

0 0.1 0.2 0.3 0.4 0.5 0.60

2

4

6

8

10

12

14

16

18

20

22

p0 = 30 barT0 = 800 Kφ = 1

(Rates only)

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Premixed flame, large Pé; 2 of 590/10; p0 = 30 bar, T0 = 800 K; with diffusion

x (cm)

Nc

(mol

/m3 )

0 0.1 0.2 0.3 0.40

10

20

30

40

50

60

p0 = 30 barT0 = 800 Kφ = 1

x (cm)

T(K

)

0 0.1 0.2 0.3 0.4600

800

1000

1200

1400

1600

1800

2000p0 = 30 barT0 = 800 Kφ = 1

x (cm)

Noh

(mol

/m)3

0 0.1 0.2 0.3 0.40

0.02

0.04

p0 = 30 barT0 = 800 Kφ = 1

x (cm)

No2

(mol

/m3 )

0 0.1 0.2 0.3 0.40

10

20

30

40

50

60

70

80

90

100

p0 = 30 barT0 = 800 Kφ = 1

x (cm)

Nh2

o(m

ol/m

3 )

0 0.1 0.2 0.3 0.40

1

2

3

4

5

6

7

8

9

10

p0 = 30 barT0 = 800 Kφ = 1

x (cm)

Nco

2(m

ol/m

3 )

0 0.1 0.2 0.3 0.40

0.5

1

1.5

2

2.5

p0 = 30 barT0 = 800 Kφ = 1

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Premixed flame, large Pé; 3 of 5

600 700 800 900T0 (K)

0

2

4

6

8

10

12

x fs(c

m)

p0 = 20p0 = 30p0 = 40

p0 in bar, T0 in K

90/10xfs is that at T0+900K

600 700 800 900T0 (K)

100

101

x fs(c

m)

p0 = 20p0 = 30p0 = 40

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Premixed flame, large Pé; 4 of 5

600 700 800 900T0 (K)

50

60

70

80

90

100

110

120

130

140

150U

fs(c

m/s

)p0 = 20p0 = 30p0 = 40

90/10=1

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Premixed flame, large Pé; 5 of 5

50/50

600 700 800 900T0 (K)

10-1

100

x fs(c

m)

p0 = 30

Heptane/Octane=50%/50%

600 700 800 900T0 (K)

60

70

80

90

100

110

120

Ufs

(cm

/s)

p0 = 30

Heptane/Octane=50%/50%

=1

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Premixed flame; general Pé

0 0.1 0.2 0.3 0.4 0.5 0.6X (cm)

30040050060070080090010001100120013001400150016001700180019002000

T(K

)

0

20

40

60

80

100

120

140

160

180

200

220

240

U(c

m/s

)

Ji. C. et al., “Propagation and extinction of premixed C5-C12 n-alkane flames”, Combust. Flame, 157, 277-287, 2010.

The experimental profiles were stated to be for C5-C8 n-alkanes (unburned temperature: 353K), and n-heptane was used .

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Counterflow flame: computation feasibility

0.5 0.75 1 1.25x/L

0

200

400

600

800

1000

1200

1400

1600

1800

2000

T(K

)

0.5 0.75 1 1.25x/L

0

0.05

0.1

0.15

0.2

0.25

Y

Oxygen

Fuel

p = 1 bar, Tjet = 350 K, (ρu)air-jet = 4.8 ×10-2 g/cm2, (ρu)fuel-jet = 4.85 ×10-2 g/cm2, L = 2 cm(ρuYF)fuel-jet / (ρuYO2)air-jet = s

u (@max R) = 56 cm/s

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Summary and conclusions, 1 of 2

• Developed a model of steady quasi-1D flame with variable area, including– Full mass-diffusion coefficient matrix– Thermal diffusion factors– Mixture thermal conductivity– Real-gas EOS

• Preliminary results obtained for premixed flames and constant area flow show that the predictions are qualitatively correct– Ufs varies with the inverse of a power of pressure – The position of the flame initiation depends on T0

– The position of the flame initiation depends of the initial pressure over the entire T0 regime

– Increasing the % heptane in the PRF results in larger Ufs

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Summary and conclusions, 2 of 2

• Limited results were obtained for premixed flow with variable area– Results compare well with experimental data

• The model has been extended to non-premixed flow– Preliminary results are qualitatively correct.– The numerics must be improved as stability problems are still

preventing routine computations and comparisons with experiments.

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Future work

• Solidify the numerical method to enable routine computations

• Investigate whether the same constituents-and-species concept holds for higher alkanes and cycloalkanes