22nd International Symposium on Plasma Chemistry July 5-10, 2015; Antwerp, Belgium Kinetic study of low temperature methane oxidation in a nanosecond repetitively pulsed dielectric barrier discharge J.K. Lefkowitz, P. Gou, A. Rousso and Y. Ju Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, U.S.A. Abstract: Methane oxidation was investigated in a nanosecond repetitively pulsed dielectric barrier discharge. Quantitative measurements of temperature and product species were performed using tunable diode laser absorption spectroscopy and gas chromatograph sampling. Discrepancies with modelling work revealed uncertainties in the low temperature oxidation reactions, particularly for methyl radical oxidation pathways. Keywords: plasma-aided combustion, methane, oxidation, dielectric barrier discharge 1. Introduction The initiation of hydrocarbon oxidation by plasma discharges is a topic relevant for both plasma-assisted combustion (PAC) and plasma gas conversion. For PAC, the active species and gas temperature rise produced by the plasma determines the following oxidation rate, which may be vastly different depending on the temperature regime and radical concentration [1, 2]. Thus, detailed understanding of both the reaction rates and energy coupling mechanism of electron collision reactions and the following ionized and excited species reactions is necessary when modelling PAC. For plasma gas conversion, the yield of a desired product species is also a function of temperature, and thus plasma properties [3, 4]. Again, understanding the plasma kinetics is necessary for to model the initial condition for the following oxidation process. In addition to plasma kinetics, the correct reaction rates for ground state species must be utilized. In the case of high temperatures (> 800 K) the rates of oxidation for small hydrocarbons have been extensively studied by the combustion community. However, at lower temperatures (300 - 800 K), small hydrocarbons do not generally react with oxygen at an appreciable rate, mainly due to a lack of available radical species to initiate the oxidation process, and thus have not received the same degree of attention by the combustion kinetics community. However, the low temperature kinetics become important in the case of PAC when the radical species concentration is large and can initiate the oxidation process. In this case, the degree of oxidation is completely dependent upon the supply of active species from the plasma. The aim of the current study is to explore the oxidation process unique to low temperature PAC and assess the current degree of understanding of the reaction pathways. For this purpose, in-situ temperature and formaldehyde concentration measurements were taken in a nanosecond repetitively pulsed (NRP) dielectric barrier discharge (DBD) using tunable diode laser absorption spectroscopy (TDLAS) during a 300 pulse burst. Formaldehyde is known to be an important intermediate species in methane O-4-3 PAC [5-7] indicative of the degree of oxidation. In addition, gas chromatograph sampling downstream of the plasma was utilized to quantify all major product species in a continuously pulsed discharge. 2. Experiment The experimental apparatus has been described in detail elsewhere [2, 8, 9], and is thus only briefly discussed here. The plasma is produced using a nanosecond (~12 ns) pulsed power supply (FID GmbH FPG 30-50MC4), which supplies repetitive pulses at up to 30 kHz frequency and up to 22 kV peak voltage. The dielectric barriers are 1.6 mm quartz sheets covering both stainless steel electrodes, and the discharge gap is 14 mm. The current during the nanosecond discharge is measured using a Pearson Coil current probe (Model 6585), and the voltage externally applied to the discharge is measured using a Lecroy high voltage probe (PPE20KV). All experiments were performed with average peak voltage of 8.76 kV. The per pulse energy input is 1.5 ± 0.2 mJ. Uniform discharge was confirmed using single shot ICCD imaging (100 ns gate width). Fig. 1 shows a schematic of the experimental setup. The fuel, oxygen, and helium are metered using mass flow controllers (Brooks instruments), and are premixed prior to entering the plasma reactor. The flow velocity inside the quartz section is maintained at 0.2 m/s. The quartz cell is contained inside a stainless steel vacuum chamber, and nitrogen is supplied around the quartz section to ensure exhaust gases do not affect the absorption measurements. For continuously pulsed experiments, reactant and product species are sampled at the exit of the discharge cell and analyzed using a gas chromatograph coupled with a thermal conductivity detector (GC-TCD, Inficon MicroGC 3000). A Continuous Wave External Cavity Mode Hop Free Quantum Cascade Laser (CW-EC-MHF-QCL, Daylight Solutions) is used to scan two methane absorption lines at 1343.56 cm-1 and 1343.63 cm-1. The ratio of these lines can be used to extract the gas temperature using the two line absorption method [2, 10]. In addition, a 1 Reactor Ge Etalon Beam Splitter Flip Mirror Quartz Wall Macor Wall Collimating Mirror Lenses Fig. 1. Diagram of experimental apparatus. Distributed Feedback Quantum Cascade Laser (DFBQCL, Alpes Lasers) is used to quantify formaldehyde concentration, using the absorption line centered at The absorption profile at different 1725.97 cm-1. conditions of temperature and pressure can be modeled using data from HITRAN [11]. A least squares nonlinear fitting algorithm for calculating the Voigt function [12] is used to fit the calculated absorption profiles to the measured ones. Species measurements are estimated to have a maximum uncertainty of 5%, while temperature measurements have an uncertainty of ±10 K in the range of 300 - 500 K. 3. Numerical Modelling Predictions of the measurements were computed assuming a homogeneous and adiabatic discharge system. Square pulses are assumed for the reduced electric field profile, with 3-4 ns in duration and 180 Td peak height. The pulse duration was varied to match the measured temperature profile. The assumption of fixed height, square waves is necessary because the 1-D solution for charge separation in an electric field has not been solved in this study, thus, it is not possible to calculate the reduced electric field a priori from the applied voltage waveform. The plasma discharge reaction kinetics are predicted using the ZDPlasKin code [13]. Combustion chemistry is calculated using the CHEMKIN based SENKIN code[14]. Electron collision reactions are limited to the plasma model, while the combustion chemistry involving neutral ground state species are mostly limited to the combustion model. Excited species quenching reactions, electron-ion recombination reactions, and charge exchange reactions are used in both models. The combustion kinetic model employed here is HP-Mech, previously described and available in [2], which is specifically designed for low temperature (< 800 K) chemistry. The plasma model has been assembled primarily from an air plasma model [13, 15], with helium reactions from [16, 17] and methane 2 4. Results and Discussion All experiments were performed in a stoichiometric methane/oxygen mixture with 75% helium dilution, at 293 K initial temperature and 60 Torr pressure. The measurement of temperature by two-line absorption spectroscopy in a 300 pulse burst discharge at 30 kHz repetition frequency is presented in Fig. 2. The temperature increases steadily throughout the pulse burst until it peaks at ~ 350 K on the last pulse (at 10 ms), at which point heat losses bring the gas temperature back to its original value. The accurate fitting of modeled temperature with the measurement ensures that the predicted chemical reactions are in the correct temperature regime, thus any discrepancies in species concentrations will be solely due to the reaction pathways and rates used in the model. 360 Model 350 Temperature (K) Vacuum Chamber reactions from [7, 17]. Included excited and ionized species are: O2 (𝑐1 Σu− ), O2 (C 3 Δu ), O2 (𝐴3 Σu+ ) (all grouped as O 2 (4.5eV) by analogy with [7]); O2 �𝑎1 Δg �; O2 �𝑏1 Σg+ �; 1 1 + 1 + + O+ 2 ; O( D); O( S); O ; He(2s S); CH4 ; CH3 . Vibrationally excited species, negative ions, and complex positive ions are neglected. The electron-collision crosssections for O 2 and He are downloaded from the LXCat online database [18, 19], and cross-sections for CH 4 are computed in the method described by Janev and Reiter [20]. The complete plasma model can be found in [9]. Experiment 340 330 320 310 300 290 0 5 10 15 20 Time (ms) Fig 2. Temperature measurements and modelling during and after a 300 pulse burst at 30 kHz repetition rate (10 ms duration) in a 0.083 CH 4 /0.167 O 2 /0.75 He mixture. The measured and predicted formaldehyde concentration, at the same conditions as in Fig. 2, is presented in Fig. 3. At the temperatures reached in the reactor, formaldehyde is unable to be consumed after the plasma, and thus builds up throughout the pulse burst before reaching a final concentration. The model underpredicts the measured concentration by a factor of four. To explore which part of the mechanism is responsible for this discrepancy, the plasma is switched from a pulse O-4-3 250 CH2O Experiment Mole Fraction (ppm) CH2O Model 200 150 x 1000 200 O2 Experiment CH4 Experiment H2O Experiment 175 O2 Model CH4 Model H2O Model 150 Mole Fraction (ppm) burst mode to a continuously pulsed mode, and temperature measurements are taken again, as presented in Fig. 4, as well as GC-TCD sampling measurements, as presented in Fig. 5. 125 100 75 50 25 100 0 100 1000 10000 100000 Frequency (Hz) 50 14000 CO Experiment 0 CO Model 12000 10 5 15 Time (ms) Fig. 3. Formaldehyde measurements and modelling during and after a 300 pulse burst at 30 kHz repetition rate and 8.76 kV peak voltage in a 0.083 CH 4 /0.167 O 2 /0.75 He mixture. 500 CO2 Model H2 Experiment 10000 Temperature Model 475 CO2 Experiment 20 Mole Fraction (ppm) 0 H2 Model 8000 6000 4000 2000 Temperature Experiment 0 100 425 1000 10000 100000 Frequency (Hz) 400 1000 CH2O Experiment 375 CH2O Model CH3OH Experiment 350 800 325 300 275 100 1000 10000 100000 Frequency (Hz) Fig. 4. Temperature measurements and modelling in continuously pulsed plasma at 8.76 kV peak voltage in a 0.083 CH 4 /0.167 O 2 /0.75 He mixture. At frequencies > 10 kHz there is some disagreement in predicting the gas temperature of the discharge. This is due to heating of the reactor walls, which changes the heat loss rate from the bulk gas, thus the heat loss rate in the model is no longer as accurate as the time-dependent measurements, in which the low duty cycle of the discharge burst prevents significant wall heating. The disagreement is not large enough to significantly change the oxidation regime, staying within 25 K of the measured value up until the 30 kHz case, in which the discrepancy is ~ 50 K. Fig. 5 presents the species concentrations at the exit of the discharge cell for the same conditions as in Fig 4. The major product species are H 2 O, CO, CO 2 , and H 2 , and the minor products are CH 2 O, CH 3 OH, C 2 H 6 , C 2 H 4 , and C 2 H 2 . Excellent agreement between the model and O-4-3 Mole Fraction (ppm) Temperature (K) 450 CH3OH Model C2H2 Experiment C2H2 Model C2H4 Experiment 600 C2H4 Model C2H6 Experiment C2H6 Model 400 200 0 100 1000 10000 100000 Frequency (Hz) Fig. 5. Species measurements and modelling in continuously pulsed plasma at 8.76 kV peak voltage in a 0.083 CH 4 /0.167 O 2 /0.75 He mixture. experiment is found for fuel and oxidizer consumption, as well as the production of all major species. This indicates that, in general, the model is capturing the rate of oxidation properly. A path flux analysis, presented in Fig. 6, reveals that 60% of the fuel is consumed in electron collision reactions, while 23% is consumed in reactions with O(1D) and the remaining 15% is consumed in reactions with OH radical. The two most significant pathways progress through the formation of methylene 3 radical (17%) or methyl radical (56%). + O 6% CH3 + H2O + OH 15% + e- 23% CH4 + O2 + M 94% + e- 100% CH3+ + H + O2 9% CH3OH + O2 CH2O + HO2 CH3OH + CH CH2OH + H CH2O + HO2 CH4+ + O2 100% CH3 + OH + O2 100% CH3O2 + M CH3O + O2/OH CH3 + H CH4 + O2+ CH2 + H/H2 + O2 100% CH2O + H CO + OH + H CO2 + H + H CO2 + H2 CH2O + O Fig. 6. Path flux analysis of fuel consumption integrated over a single pulse period during continuous discharge at 30 kHz repetition frequency. Bold species represent those which are measured, red arrows are for combustion reactions, and blue arrows are for plasma reactions. Agreement for the major species is excellent, however, disagreement for the minor species, particularly CH 3 OH and CH 2 O, indicates there are some parts of the oxidation mechanism which require closer attention. Investigation of the production rates for these two species reveals that all of the CH 3 OH and 20% of the CH 2 O is formed after the reaction of CH 3 + O 2 → CH 3 O 2 . The methyl peroxy radical (CH 3 O 2 ) consumption pathways lead to either CH 3 OH or CH 2 O. It is expected that improvements in the prediction of the CH 3 O 2 reactions will lead to better prediction of the low temperature oxidation pathways, especially considering reactions of this radical species have very few published rate constants [21]. 5. Conclusions Measurement and modelling of temperature and major product species in and after a NRP DBD of CH 4 /O 2 /He have been carried out in a low temperature flow reactor. The major product species are H 2 O, CO, CO 2 , and H 2 , while the minor products include CH 2 O, CH 3 OH, C 2 H 6 , C 2 H 4 , and C 2 H 2 . Modelling predictions of the gas temperature, oxidation rate, and major product species are in agreement with the measurements. However, the minor product species require further effort to bring into agreement with the measured concentrations, particularly for CH 3 OH and CH 2 O. One suggested pathway requiring further investigation is the reactions of the radical species CH 3 O 2 . Further work on low temperature oxidation pathways is required for improved prediction of the product species. 6. Acknowledgements The authors would like to acknowledge the AFOSR Plasma MURI project (grant FA9550-07-1-0136) and the AFOSR MILD Combustion project (grant FA9550-13-10119) for supporting this work. 4 7. References [1] Y. Ju and W. Sun. Progr. Energ. Combust., 48, 21-83 (2015) [2] J.Q.S.R.T.K. Lefkowitz, M. Uddi, B.C. Windom, G. Lou and Y. Ju. Proc. Combustion Inst., 35, 3505-3512 (2015) [3] X. Zhang and M.S. Cha. J. Phys. D: Appl. Phys., 46, 415205 (2013) [4] X. Zhang and M.S. Cha. Proc. Combustion Inst., 35, 3447-3454 (2015) [5] W. Sun, S.H. Won, T. Ombrello, C. Carter and Y. Ju. Proc. Combustion Inst., 34, 847-855 (2013) [6] G. Lou, A. Bao, M. Nishihara, S. Keshav, Y.G. Utkin, J.W. Rich, W.R. Lempert and I.V. Adamovich. Proc. Combustion Inst., 31, 3327-3334 (2007) [7] I.N. Kosarev, N.L. Aleksandrov, S.V. Kindysheva, S.M. Starikovskaia and A.Y. Starikovskii. 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