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Understanding and Predictive Modeling of Plasma Assisted Combustion Igor Adamovich, Walter Lempert, and Jeffrey Sutton Department of Mechanical and Aerospace Engineering Ohio State University AIAA Paper 2015-0155 AIAA 53 rd Aerospace Sciences Meeting (SciTech 2015), January 5, 2015
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Page 1: Understanding and Predictive Modeling of Plasma Assisted ...

Understanding and Predictive Modeling of Plasma Assisted Combustion

Igor Adamovich, Walter Lempert, and Jeffrey Sutton

Department of Mechanical and Aerospace Engineering

Ohio State University

AIAA Paper 2015-0155 AIAA 53rd Aerospace Sciences Meeting (SciTech 2015), January 5, 2015

Page 2: Understanding and Predictive Modeling of Plasma Assisted ...

Studies of plasma assisted combustion: Motivation and objectives

• Ignition and combustion become unstable:

• At low equivalence ratios

• At low combustor pressures (high altitude flight)

• At high flow velocities in combustor (high-speed flight)

• Major new capabilities provided by nonequilibrium, transient plasmas:

• Large energy fraction into inelastic electron impact: efficient generation of metastables and radicals (N2*, O*, Ar*, O, H, OH, CH) at high E/N

• Radicals react with fuel, even at low temperatures

• Plasma chemical chain branching / fuel oxidation reactions

• “Nudging” conventional combustion chemistry in the right direction

• Reduction of ignition delay, lean flammability limit, flame blow-off velocity increase

• Objectives:

• New experimental data at controlled, well-characterized conditions

• Development and validation of kinetic mechanisms, predictive capability

Page 3: Understanding and Predictive Modeling of Plasma Assisted ...

I. Quantifying energy partition in nonequilibrium fuel-air plasmas

• Measurements and predictions of time-resolved electric field in high-pressure H2 plasmas (AIAA 2015-0935, Tue 3:30)

• Measurements and predictions of time-resolved electron density and electron temperature in O2- and H2-containing plasmas (AIAA 2015-1829, Thur 2:30)

• Measurements and predictions of time-resolved and spatially resolved temperature, N2(X,v=0-12) populations, [N], [O], and [NO] in air and H2-air plasma; experimental demonstrations of two-stage heating mechanism and role of N2* reactions on NO formation (AIAA 2015-1159, Wed 9:30)

Plasma Assisted Combustion MURI: Summary of Principal Achievements

Page 4: Understanding and Predictive Modeling of Plasma Assisted ...

Psec CARS / 4-wave mixing: electric field in a plane-to-plane nsec pulse discharge

• H2, P=430 Torr, two plane electrodes covered with quartz plates, 3 mm gap, 0.2 ns time res

-100 0 100 200 300 400-5

0

5

10

15

20

25

30

35

40

45

Time (nanoseconds)

Elec

tric

Fiel

d (k

V/cm

)

Applied Voltage/gap ratioElectric Field

• Kinetic modeling predictions: good agreement with the data

• E/N: controls partition of coupled energy among different molecular energy modes

Page 5: Understanding and Predictive Modeling of Plasma Assisted ...

Thomson scattering: electron density and electron temperature in a point-to-point nsec pulse discharge

10% O2 in He P=100 torr

ne= 6·1013 cm-3 Te= 1.7 eV

10 mm

• ne, Te: control coupled energy, partition of energy among different modes

Page 6: Understanding and Predictive Modeling of Plasma Assisted ...

• Psec rotational, vibrational CARS: T, [N2(X,v)]

• TALIF, LIF: absolute [N], [O], [NO]

• NO production dominated by reactions of N2 electronic states, N2

* + O → NO + N

• Rapid heating in air: N2* + O2 → N2(X) + O + O

• Slow heating in air: V-T relaxation by O atoms

• H2-air: additional chemical energy release

Psec CARS, LIF, TALIF: “Full set” of energy partition and plasma chemistry data in air, P=40-100 Torr

NO PLIF image 10 µs after discharge

Page 7: Understanding and Predictive Modeling of Plasma Assisted ...

II. Quantifying effect of excited electronic states of N2*, O*, and Ar* on fuel-air plasma chemistry

• Measurements and predictions of time-resolved temperature, Tv(N2), and absolute [OH] in ns pulse discharges in air, H2-air, and CxHy-air (Comb. Flame 2013)

• Measurements and predictions of [O], [N], and [NO] in ns pulse discharges in H2-air and C2H4-air; role of N atoms and OH radicals on NO formation (AIAA 2015-1159, Wed 9:30)

• Measurements and predictions of time-resolved spatial distributions of absolute [OH] and [H] in point-to-point ns discharges in H2-O2-Ar (Proc. Comb. Symp. 2015)

Plasma Assisted Combustion MURI: Summary of Principal Achievements (cont.)

Page 8: Understanding and Predictive Modeling of Plasma Assisted ...

LIF, psec CARS: absolute [OH] and temperature dynamics in preheated fuel-air mixtures after nsec pulse discharge burst

Data used for PAC kinetic mechanism validation (will get back to this)

H2 – air, ϕ=0.3 T0=500 K, P=100 torr

C2H4 – air, ϕ=0.3 T0=500 K, P=100 torr

Pulse #10 Pulse #100

, pulse #10

Page 9: Understanding and Predictive Modeling of Plasma Assisted ...

H2-air Φ=0.42

P=40 Torr

LIF, TALIF: dominant effect of N atoms and OH on NO formation in H2-air and C2H4-air plasmas

• Significant [NO] rise, [N] reduction in H2-air, C2H4-air plasmas (compared to air)

• Kinetic modeling: longer NO decay due to reaction N + OH → NO + H

• In air, N atoms contribute to NO decay, N + NO → N2 + O

• In fuel-air, N atoms produced in the plasma enhance generation of NO (major regulated pollutant)

Air P=40 Torr

Page 10: Understanding and Predictive Modeling of Plasma Assisted ...

Hot central region: chain branching dominates OH production

H + O2 → OH + O ; O + H2 → OH + H

Low temperature peripheral region: predominant OH accumulation

H radial diffusion ; H + O2 + M → HO2 ; H + HO2 → OH + OH

Rayleigh scattering, LIF / TALIF line imaging: coupling of plasma chemistry and transport (H2 - O2 - Ar, P=40 torr)

Page 11: Understanding and Predictive Modeling of Plasma Assisted ...

III. Quantifying effect of plasma chemical reactions on plasma-induced ignition dynamics

• Measurements and predictions of time-resolved temperature, T2(N2), and

absolute [OH] during repetitively pulsed plasma-enhanced ignition process in H2-air (Proc. Comb. Symp. 2013, Comb. Flame 2013)

Plasma Assisted Combustion MURI: Summary of Principal Achievements (cont.)

Page 12: Understanding and Predictive Modeling of Plasma Assisted ...

[OH], T, Tv(N2) during plasma assisted ignition of H2-air (ϕ=0.4, 120-pulse burst, T0=500 K, P=80-90 torr)

• Model predictions in good agreement with time-resolved T (psec CARS), [OH] (LIF)

• Threshold ignition temperature Ti ≈ 700 K, lower than autoignition temperature, Ta ≈ 900 K

Data used for PAC kinetic mechanism validation

Page 13: Understanding and Predictive Modeling of Plasma Assisted ...

IV. Development, validation, and delivery of kinetic mechanism of nonequilibrium plasma-assisted energy transfer / chemistry / ignition of fuel air mixtures

• Use of experimental results (Parts I-III) to incorporate detailed plasma kinetics into the mechanism and for validation

• Key issue: mechanism availability / ease of use, a. k. a.

• “Thanks for the mechanism. Can I also have your code?”

a) “No way”

b) “Yes but you’ll wish you’d never asked”

• Mechanism deliverable: freeware / commercial software platform (BOLSIG / CHEMKIN-PRO) for wide use, without relying on proprietary computer codes

Plasma Assisted Combustion MURI: Summary of Principal Achievements (cont.)

Page 14: Understanding and Predictive Modeling of Plasma Assisted ...

BOLSIG+

• Boltzmann equation for EEDF (two-term expansion, experimental cross sections): EEDF, rates of electron impact excitation, dissociation, and ionization processes vs. average electron energy

• Post-processor: rates imported into input reaction kinetics file of CHEMKIN-PRO; plasma input power waveform, other input conditions specified by user

CHEMKIN-PRO (Plasma PSR)

• Electron energy equation: electron temperature controlling rates of electron impact, k(Te)

• Heavy species energy equation: temperature, rates of thermal chemical reactions

• Charged species equation (dominant ionization, recombination, ion-molecule reactions): electron density in plasma

• Excited neutral species equations (electron impact excitation, non-reactive and reactive quenching): contribution to radical species formation

• Master equation for N2(X,v) populations; state-specific V-T and V-V processes: energy storage in N2 vibrational mode, its subsequent release

• Neutral species reactions: based on fuel-air air chemistry mechanism by A. Konnov, enhanced by radical production in plasma

• Quasi-0-D corrections: diffusion / conduction, gasdynamic expansion, cathode layer

Kinetic Mechanism / Software Platform Overview

Page 15: Understanding and Predictive Modeling of Plasma Assisted ...

Mechanism validation: plane-to-plane repetitive nsec discharge air and H2-air*

• Time-resolved T, Tv(N2), absolute [OH] in good overall agreement with data

• But predicted [OH] reduction with ϕ is not detected in experiment: room for improvement

* No computer code used

Page 16: Understanding and Predictive Modeling of Plasma Assisted ...

Mechanism validation: pin-to-pin nsec discharge in air*

• Power coupled to cathode layer (cathode voltage fall) needs to be subtracted

• Time-resolved T, Tv(N2), N2(v) are in agreement with the data

• Discharge energy partition is reproduced correctly

* No computer code used

10 mm

Page 17: Understanding and Predictive Modeling of Plasma Assisted ...

Mechanism validation: plane-to-plane repetitive nsec discharge, CxHy-air*

* No computer code used

Agreement with absolute [OH] dynamics

• H2, CH4: good

• C2H4: excellent

• C3H8: poor ; not sensitive to plasma chemical reactions, almost certainly due to conventional chemistry issues

Page 18: Understanding and Predictive Modeling of Plasma Assisted ...

1. Sample BOLSIG output

2. BOLSIG output post-processing routine (Matlab)

3. Sample CHEMKIN-PRO input gas-phase kinetics files (“PAC mechanism”)

4. Thermochemical data files (including excited species)

5. Sample discharge coupled power files (single-pulse and multiple pulse train)

6. Recorded video tutorial

7. Sample CHEMKIN-PRO output results

8. Sample mechanism validation results

Time frame • Items 1-8 for test drive and feedback: available upon e-mail request

• Mechanism / files / tutorial posted online: within a few weeks

• Periodic updates based on user feedback and new results

Kinetic Mechanism Deliverables

Page 19: Understanding and Predictive Modeling of Plasma Assisted ...

[OH]

[H]

■ Saturated H2O vapor / Ar buffer flow over liquid water, P=30 torr

■ Liquid surface at y=0

■ Electrodes powered by ns discharge pulses (20-pulse burst)

■ Saturated H2O vapor / Ar buffer flow over liquid water, P=30 torr

■ Calibration: Rayleigh scattering (OH LIF), Kr TALIF (H TALIF)

On-going work: in situ distributions of [OH], [H] in liquid-vapor interface plasmas (AIAA 2015-0934, Tuesday 3:00)

Page 20: Understanding and Predictive Modeling of Plasma Assisted ...

On-going work: high-pressure (~1 bar) “0-D” plasmas in “Wolverine” cell with liquid metal electrodes (SciTech 2016)

Electrodes are encapsulated in quartz cells: no corona outside, no discharge pulse energy uncertainty

[Ar*] (x,y) distribution 0.2 μs after pulse: 1% H2 in argon, T=500 K, P=300 Torr

ν=10 kHz, pulse #10

Argon T=300 K

P=300 Torr

Laser beam pattern for [Ar*] measurements by TDLAS

1% H2-Ar, T=500 K, P=300 Torr

x, mm

[Ar*], 1014 cm-3

Page 21: Understanding and Predictive Modeling of Plasma Assisted ...

Some Unresolved Issues (more on this in the paper)

• “Rapid” heating: at what conditions does “rapid” heating become dominant, compared to low-temperature radical species chemistry?

• Reactions of vibrationally excited molecules: do reactions such as N2(X1Σ,v) + O → NO + N and N2(X1Σ,v=1) + HO2 → N2(X1Σ,v=0) + HO2(ν2+ν3) → N2 + H + O2 matter?

• Fuel molecular structure: is there a difference between plasma chemistry of low octane number (with low-temperature cool flame chemistry) vs. high octane number fuels?

• Dynamic effect of plasma on non-premixed turbulent flames: preventing local extinction by producing radicals where combustion cannot be sustained otherwise

• Plasma assisted combustion in non-premixed compressible flows: coupling between discharge dynamics, fuel-air mixing, and combustion instability development

Page 22: Understanding and Predictive Modeling of Plasma Assisted ...

AFOSR MURI “Fundamental Mechanisms, Predictive Modeling, and Novel Aerospace Applications of Plasma Assisted Combustion” DOE PSAAP-2 Center “Exascale Simulation of Plasma-Coupled Combustion” (under U. Illinois at Urbana-Champaign prime) Nikolay Popov, Moscow State University Rich Yetter, Penn State Fokion Egolfopoulos, USC

Acknowledgments

Page 23: Understanding and Predictive Modeling of Plasma Assisted ...

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