Simulation of a Reverse FlowReactor for the Catalytic Combustion of Lean Methane Emissions

doi:10.1016/j.cjche.2014.06.005

Chinese Journal of Chemical Engineering ›› 2014, Vol. 22 ›› Issue (8): 843-853.DOI: 10.1016/j.cjche.2014.06.005

• 第四届整体式结构化催剂与反应器国际会议专栏 • 上一篇下一篇

Simulation of a Reverse FlowReactor for the Catalytic Combustion of Lean Methane Emissions

Jiajin Zhang, Zhigang Lei, Jianwei Li , Biaohua Chen, Jiajin Zhang, Zhigang Lei, Jianwei Li, Biaohua Chen

State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China

收稿日期:2013-12-24 修回日期:2014-01-27 出版日期:2014-08-28 发布日期:2014-11-04
通讯作者: Jianwei Li
基金资助:
Supported by the National High Technology Research and Development Program of China (2006AA030201).

Simulation of a Reverse FlowReactor for the Catalytic Combustion of Lean Methane Emissions

Jiajin Zhang, Zhigang Lei, Jianwei Li , Biaohua Chen, Jiajin Zhang, Zhigang Lei, Jianwei Li, Biaohua Chen

State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China

Received:2013-12-24 Revised:2014-01-27 Online:2014-08-28 Published:2014-11-04
Supported by:
Supported by the National High Technology Research and Development Program of China (2006AA030201).

摘要/Abstract

摘要： Thiswork is focused on the performance prediction of pilot scale catalytic reverse flow reactors used for combustion of lean methane-air mixtures. An unsteady one-dimensional heterogeneous model for the reactor was established to account for the influence of the reactor wall on the heat transfer. Results of the simulation indicate that feed concentration, switch time and compensatory temperature impose important influence on the performance of the reactor. The amount of the heat extracted from the mid-section of the reactor can be optimized via adjusting the parameters mentioned above. At the optimal operating conditions, i.e. switching time of 400 s, feed concentration of 1% (by volume), and insulation layer temperature of 343 K, the axial temperature of the reactor revealed a comparatively symmetrical "saddle" distribution, indicating a favorable operating status of the catalytic reverse flow reactor.

关键词: Methane, Catalytic combustion, Reverse flow reactor, Modeling

Abstract: Thiswork is focused on the performance prediction of pilot scale catalytic reverse flow reactors used for combustion of lean methane-air mixtures. An unsteady one-dimensional heterogeneous model for the reactor was established to account for the influence of the reactor wall on the heat transfer. Results of the simulation indicate that feed concentration, switch time and compensatory temperature impose important influence on the performance of the reactor. The amount of the heat extracted from the mid-section of the reactor can be optimized via adjusting the parameters mentioned above. At the optimal operating conditions, i.e. switching time of 400 s, feed concentration of 1% (by volume), and insulation layer temperature of 343 K, the axial temperature of the reactor revealed a comparatively symmetrical "saddle" distribution, indicating a favorable operating status of the catalytic reverse flow reactor.

Key words: Methane, Catalytic combustion, Reverse flow reactor, Modeling

Jiajin Zhang, Zhigang Lei, Jianwei Li,Biaohua Chen, Jiajin Zhang, Zhigang Lei, Jianwei Li, Biaohua Chen. Simulation of a Reverse FlowReactor for the Catalytic Combustion of Lean Methane Emissions[J]. Chinese Journal of Chemical Engineering, 2014, 22(8): 843-853.

参考文献

[1] J.P. Guo, C.D. Zhou, Greenhouse gas emissions and mitigation measures in Chineseagroecosystems, Agric. For. Meteorol. 142 (2-4) (2007) 270-277.

[2] K. Ito, Y. Uchiyama, T. Takeshita, H. Hayashibe, Study on GHG control scenarios bylife cycle analysis-world energy outlook until 2100, Energy Convers. Manag. 38(7) (1997) 607-614.

[3] C.Ö. Karacan, F.A. Ruiz, M. Cote, S. Phipps, Coal mine methane: a review of captureand utilization practices with benefits to mining safety and to greenhouse gasreduction, Int. J. Coal Geol. 86 (2-3) (2011) 121-156.

[4] Y.P. Cheng, L. Wang, X.L. Zhang, Environmental impact of coal mine methaneemissions and responding strategies in China, Int. J. Greenhouse Gas Control 5 (1)(2011) 157-166.

[5] R.E. Hayes, Catalytic solutions for fugitive methane emissions in the oil and gassector, Chem. Eng. Sci. 59 (2) (2004) 4073-4080.

[6] S. Andrea, S.B. Paola, L. Gianluca, P. Raffaele, R. Gennaro, Combustion of methane-hydrogen mixtures on catalytic tablets, Chem. Eng. J. 154 (1-3) (2009) 315-324.

[7] R.E. Hayes, S.T. Kolaczkowski, Introduction to Catalytic Combustion, Gordon andBreach, UK, 1997. 323-325.

[8] N. Russo, P. Palmisano, D. Fino, Pd substitution effects on perovskite catalyst activityfor methane emission control, Chem. Eng. J. 154 (1-3) (2009) 137-141.

[9] K. Xu, Z.L. Liu, H. He, S.Y. Cheng, C.F. Ma, Experimental study on emission control ofpremixed catalytic combustion of natural gas using preheated air, Chin. J. Chem. Eng.15 (1) (2007) 68-74.

[10] Y.S. Matros, G.A. Bunimovich, Reverse-flow operation in fixed bed catalytic reactors,Catal. Rev. 38 (1) (1996) 1-67.

[11] P. Marin, S. Ordonez, F.V. Diez, Procedures for heat recovery in the catalytic combustionof lean methane-air mixtures in a reverse flow reactor, Chem. Eng. J. 147 (2-3)(2009) 356-365.

[12] K. Gosiewskia, K. Warmuzinski, Effect of the mode of heat withdrawal on theasymmetry of temperature profiles in reverse-flow reactors. Catalytic combustionof methane as a test case, Chem. Eng. Sci. 62 (2) (2007) 2679-2689.

[13] B. Liu, R.E. Hayes, M.D. Checkel, M. Zheng, E. Mirosh, Reversing flow catalyticconverter for a natural gas/diesel dual fuel engine, Chem. Eng. Sci. 56 (2) (2001)2641-2685.

[14] A.G.Miguel, O. Hevia Salvador, V.D. Fernando, Effect of the catalyst properties on theperformance of a reverse flow reactor for methane combustion in lean mixtures,Chem. Eng. J. 129 (1) (2009) 1-10.

[15] S. Salomons, R.E. Hayes, M. Poirier, H. Sapoundjiev,Modelling a reverse flow reactorfor the catalytic combustion of fugitive methane emissions, Comput. Chem. Eng. 28(1) (2004) 1599-1610.

[16] R. Litto, R.E. Hayes, H. Sapoundjiev, A. Fuxman, F. Forbes, B. Liu, F. Bertrand,Optimization of a flow reversal reactor for the catalytic combustion of leanmethanemixtures, Catal. Today 117 (1) (2006) 536-542.

[17] P. Marin, M.A.G. Hevia, S. Ordonez, F.V. Drez, Combustion of methane lean mixturesin reverse flow reactors: comparison between packed and structured catalyst beds,Catal. Today 105 (3-4) (2005) 701-708.

[18] Y.H. Chin, D.E. Resasco, Catalytic oxidation of methane on supported palladiumunder lean conditions: kinetics, structures and properties, Catalysis 14 (1) (1999)1-39.

[19] X.K. Niu, Modeling of Reverse FlowCatalytic Combustion Process for Air Purification,Ph.D. Thesis Beijing University of Chemical Technology, China, 2003. (in Chinese).

[20] J.Y. Huang, C.Y. Li, A robust adaptive algorithm for flow reversal fixed-bed flowreversal fixed-bed reactor models, Process 2nd Joint China/USA Chemical EngineeringConference, Chem. Ind. Press, Beijing, 1997, pp. 266-270.

[21] S. Salomons, R.E. Hayes, M. Poirier, H. Sapoundjiev, Flow reversal reactor for thecatalytic combustion of lean methane mixtures, Catal. Today 83 (1) (2003) 59-69.

[22] A. Kushwaha, R.E. Hayes, M. Poirier, H. Sapoundjiev, Effect of reactor internal propertieson the performance of a flow reversal catalytic reactor for methane combustion,Chem. Eng. Sci. 59 (1) (2004) 4081-4093.

[23] A. Kushwaha, M. Poirier, R.E. Hayes, H. Sapoundjiev, Heat extraction from a flowreversal reactor in lean methane combustion, Chem. Eng. Res. Des. 83 (1) (2005)205-213.

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Simulation of a Reverse FlowReactor for the Catalytic Combustion of Lean Methane Emissions

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