DOI: https://doi.org/10.9767/bcrec.2.2-3.8.37-44

Catalytic-Dielectric Barrier Discharge Plasma Reactor For Methane and Carbon Dioxide Conversion

1Department of Chemical Engineering, Diponegoro University, Jl. Prof. Sudarto, Kampus Undip Tembalang, Semarang, Indonesia

2Faculty of Chemical & Natural Resources Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

Received: 18 Apr 2007; Revised: 15 Oct 2007; Accepted: 15 Oct 2007; Published: 15 Oct 2007.
Editor(s): Istadi Istadi
Open Access Copyright (c) 2007 by Authors, Published by BCREC Group
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Fulltext View|Download

Citation Format:
Abstract
A catalytic - DBD plasma reactor was designed and developed for co-generation of synthesis gas and C2+ hydrocarbons from methane. A hybrid Artificial Neural Network - Genetic Algorithm (ANN-GA) was developed to model, simulate and optimize the reactor. Effects of CH4/CO2 feed ratio, total feed flow rate, discharge voltage and reactor wall temperature on the performance of catalytic DBD plasma reactor was explored. The Pareto optimal solutions and corresponding optimal operating parameters ranges based on multi-objectives can be suggested for catalytic DBD plasma reactor owing to two cases, i.e. simultaneous maximization of CH4 conversion and C2+ selectivity, and H2 selectivity and H2/CO ratio. It can be concluded that the hybrid catalytic DBD plasma reactor is potential for co-generation of synthesis gas and higher hydrocarbons from methane and carbon dioxide and showed better than the conventional fixed bed reactor with respect to CH4 conversion, C2+ yield and H2 selectivity for CO2 OCM process. © 2007 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0)
Keywords: Plasma chemical reactors; Optimization; hybrid ANN-GA; Dielectric-barrier discharge; Pareto Optimal Solution

Article Metrics:

Article Info
Section: Original Research Articles
Language : EN
Recent articles
Catalyst in Basic Oleochemicals Highly Active W-H2SO4/HZSM-5 Catalyst for Direct Conversion of Methane into Aromatic Catalytic-Dielectric Barrier Discharge Plasma Reactor For Methane and Carbon Dioxide Conversion Deaktivasi Katalis Konverter-Hidrogen Di Pabrik Urea Kaltim-3 Backmatter Frontmatter More recent articles
  1. Ahmad, A.L., Azid, I.A., Yusof, A.R., Seetharamu, K.N., (2004). “Emission Control in Palm Oil Mills using Artificial Neural Network and Genetic Algorithm”. Comp. Chem. Eng., 28, 2709-2715
  2. Caldwell, T.A. et al. (2001). “Partial Oxidation of Methane to Form Synthesis Gas in a Tubular AC Plasma Reactor”, in: Spivey, J.J., Iglesia, E., Fleisch, T.H. (Eds.), Stud. Surf. Sci. Cat., Elsevier B.V., Amsterdam, 136, pp. 265-270
  3. Eliasson, B., Kogelschatz, U. (1991). Modeling and Applications of Silent Discharges Plasmas. IEEE Trans.. Plasma Sci., 19, 309-323
  4. Eliasson, B., Liu, C.J., Kogelschatz, U. (2000). Direct Conversion of Methane and Carbon Dioxide to Higher Hydrocarbons using Catalytic Dielectric-Barrier Discharges with Zeolites. Ind. Eng. Chem. Res., 39, 1221-1227
  5. Eliasson, B., Liu, C.J., Kogelschatz, U. (2000). Direct Conversion of Methane and Carbon Dioxide to Higher Hydrocarbons using Catalytic Dielectric-Barrier Discharges with Zeolites. Ind. Eng. Chem. Res., 39, 1221-1227
  6. Fissore, D., Barresi, A.A., Manca, D. (2004). Modelling of Methanol Synthesis in A Network of Forced Unsteady-state Ring Reactor by Artificial Neural Networks for Control Purposes. Chem. Eng. Sci., 59, 4033-4041
  7. Huang, K., Zhan, X.L., Chen, F.Q., Lü, D.W. (2003). Catalyst Design for Methane Oxidative Coupling by Using Artificial Neural Network and Hybrid Genetic Algorithm. Chem. Eng. Sci., 58, 81-87
  8. Istadi and Amin, N.A.S. (2006b),"A Hybrid Artificial Neural Network - Genetic Algorithm (ANN-GA) Technique for Modelling and Optimization of Plasma Reactor", Ind. Eng. Chem. Res, 45: 6655-6664
  9. Istadi and Amin, N.A.S., (2007), "Modelling and Optimization of Catalytic-Dielectric Barrier Discharge Plasma Reactor for Methane and Carbon Dioxide Conversion Using Hybrid Artificial Neural Network – Genetic Algorithm Technique", Chem. Eng. Sci., Elsevier B.V. (Article In Press)
  10. Istadi, and Amin, N.A.S. (2005). A Thermodynamic Analysis of Co-generation of C2 Hydrocarbons and Synthesis Gases from Methane and Carbon Dioxide by Direct Gibbs Free Energy Minimization. J. Nat. Gas Chem., 14, 140-150
  11. Istadi, and Amin, N.A.S. (2006a). Co-Generation of Synthesis Gas and C2+ Hydrocarbons from Methane – Carbon Dioxide Reaction in A Hybrid Catalytic Plasma Reactor: A Review. Fuel, 85, 577-592
  12. Istadi. (2006). Catalytic Conversion of Methane and Carbon Dioxide in A Conventional Fixed Bed and Dielectric-Barrier Discharge Plasma Reactors. PhD Thesis, Universiti Teknologi Malaysia
  13. Kang, W.S., Park, J.M., Kim, Y., Hong, S.H. (2003). Numerical Study on Influences of Barrier Arrangements on Dielectric Barrier Discharge Characteristics. IEEE Trans. Plasma Sci., 31, 504-510
  14. Kim, S.S., Lee, H., Na, B.K., and Song, H.K. (2004). Plasma-assisted Reduction of Supported Metal Catalyst using Atmospheric Dielectric-barrier Discharge. Catal. Today, 89, 193-200
  15. Kogelschatz, U. (2003). Dielectric-barrier Discharges: Their History, Discharge Physics, and Industrial Applications. Plasma Chem. Plasma Proc., 23, 1-46
  16. Larkin, D.W., Zhou, L., Lobban, L.L., Mallinson, R.G. (2001). Product Selectivity Control and Organic Oxygenate Pathways from Partial Oxidation of Methane in a Silent Electric Discharge Reactor. Ind. Eng. Chem. Res., 40, 5496-5506
  17. Li, M.W., Xu, G.H., Tian, Y.L., Chen, L., and Fu, H.F. (2004). Carbon Dioxide Reforming of Methane Using DC Corona Discharge Plasma Reaction. J. Phys. Chem.: A, 108, 1687-1693
  18. Liu, C.J., Mallinson, R., Lobban, L. (1998). Nonoxidative Methane Conversion to Acetylene over Zeolite in A Low Temperature Plasma. J. Catal., 179, 326-334
  19. Liu, C.J., Xu, G.H., Wang, T. (1999). Non-Thermal Plasma Approaches in CO2 Utilization. Fuel Proc. Technol., 58, 119-134
  20. Liu, C.J., Xue, B., Eliasson, B., He, F., Li, Y. and Xu, G.H. (2001). Methane Conversion to Higher Hydrocarbons in the Presence of Carbon Dioxide using Dielectric Barrier-Discharge Plasmas. Plasma Chem. Plasma Proc., 21, 301-309
  21. Nandi, S., Badhe, Y., Lonari, J., Sridevi, U., Rao, B.S., Tambe, S.S., Kulkarni, B.D. (2004). Hybrid Process Modeling and Optimization Strategies Integrating Neural Networks/Support Vector Regression and Genetic Algorithms: Study of Benzene Isopropylation on Hbeta Catalyst. Chem. Eng. J., 97, 115-129
  22. Nandi, S., Mukherjee, P.,Tambe, S.S., Kumar, R., Kulkarni, B.D. (2002). Reaction Modeling and Optimization Using Neural Networks and Genetic Algorithms: Case Study Involving TS-1 Catalyzed Hydroxylation of Benzene. Ind. Eng. Chem. Res., 41, 2159-2169
  23. Radhakrishnan, V.R., Suppiah, S. (2004). Hammerstein Type Model of An Industrial Heat Exchanger. Proc. the 18th Symposium of Malaysian Chemical Engineers. Universiti Teknologi Petronas, Perak, Malaysia
  24. Stephanopoulos, G., Han, C. (1996). Intelligent System in Process Engineering: A Review. Comp. Chem. Eng., 20, 743-791
  25. The Mathworks. (2005). Genetic Algorithm and Direct Search Toolbox for Use with MATLAB, The Mathworks, Inc., Natick, MA
  26. Zhang, K., Eliasson, B., and Kogelschatz, U. (2002). Direct Conversion of Greenhouse Gases to Synthesis Gas and C4 Hydrocarbons over Zeolite HY Promoted by a Dielectric-Barrier Discharge. Ind. Eng. Chem. Res, 41, 1462-1468
  27. Zhang, K., Kogelschatz, U. and Eliasson, B. (2001). Conversion of Greenhouse Gases to Synthesis Gas and Higher Hydrocarbons. Energy Fuels, 15, 395-402
  28. Zhao, W., Chen, D., Hu, S. (2000). Optimizing Operating Conditions Based on ANN and Modified GAs. Comp. Chem. Eng., 24, 61-65
  29. Zou, J.J., Zhang, Y., Liu, C.J., Li, Y., Eliasson, B. (2003). Starch-enhanced Synthesis of Oxygenates from Methane and Carbon Dioxide Using Dielectric-barrier Discharges. Plasma Chem. Plasma Proc., 23, 69-82

Last update:

No citation recorded.

Last update:

No citation recorded.