A hybrid numerical approach for multi-responses optimization of process parameters and catalyst compositions in CO2OCM process over CaO-MnO/CeO2 catalyst

被引:21
作者
Istadi [1 ]
Amin, NAS [1 ]
机构
[1] Univ Teknol Malaysia, UTM Skudai, Fac Chem & Nat Resources Engn, CREG, Johor Baharu 81310, Malaysia
关键词
Weighted Sum of Squared Objective Functions; CO2OCM process; multi-responses optimization; pareto-optimal solutions;
D O I
10.1016/j.cej.2004.12.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 [工学]; 0830 [环境科学与工程];
摘要
A new hybrid numerical approach, using Weighted Sum of Squared Objective Functions (WSSOF) algorithm, was developed for multi-responses optimization of carbon dioxide oxidative coupling of methane (CO2 OCM). The optimization was aimed to obtain optimal process parameters and catalyst compositions with high catalytic performances. The hybrid numerical approach combined the single-response modeling and optimization using Response Surface Methodology (RSM) and WSSOF technique of multi-responses optimization. The hybrid algorithm resulted in Pareto-optimal solutions and an additional criterion was proposed over the solutions to obtain a final unique optimal solution. The simultaneous maximum responses of C, selectivity and yield were obtained at the corresponding optimal independent variables. The results of the multi-response optimization could be used to facilitate in recommending the suitable operating conditions and catalyst compositions for the CO2 OCM process. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:213 / 227
页数:15
相关论文
共 37 条
[1]
Synthesis of ethane and ethylene from methane and carbon dioxide over praseodymium oxide catalysts [J].
Asami, K ;
Kusakabe, K ;
Ashi, N ;
Ohtsuka, Y .
APPLIED CATALYSIS A-GENERAL, 1997, 156 (01) :43-56
[2]
CONVERSION OF METHANE WITH CARBON-DIOXIDE INTO C-2 HYDROCARBONS OVER METAL-OXIDES [J].
ASAMI, K ;
FUJITA, T ;
KUSAKABE, K ;
NISHIYAMA, Y ;
OHTSUKA, Y .
APPLIED CATALYSIS A-GENERAL, 1995, 126 (02) :245-255
[3]
Selective conversion of methane to C2 hydrocarbons using carbon dioxide over Mn-SrCO3 catalysts [J].
Cai, YC ;
Chou, LJ ;
Li, SB ;
Zhang, B ;
Zhao, J .
CATALYSIS LETTERS, 2003, 86 (04) :191-195
[4]
Clarke G. M., 1997, INTRO DESIGN ANAL EX
[5]
Cornell JA, 1990, APPLY RESPONSE SURFA
[6]
Optimization of xylitol recovery by crystallization from synthetic solutions using response surface methodology [J].
De Faveri, D ;
Torre, P ;
Perego, P ;
Converti, A .
JOURNAL OF FOOD ENGINEERING, 2004, 61 (03) :407-412
[7]
Edgar T.F., 2001, Optimization of Chemical Processes
[8]
ARTIFICIAL INTELLIGENCE APPROACH TO CATALYST DESIGN [J].
Hattori, T. ;
Kito, S. .
CATALYSIS TODAY, 1991, 10 (02) :213-222
[9]
NEURAL-NETWORK AS A TOOL FOR CATALYST DEVELOPMENT [J].
HATTORI, T ;
KITO, S .
CATALYSIS TODAY, 1995, 23 (04) :347-355
[10]
Artificial neural network aided design of catalyst for propane ammoxidation [J].
Hou, ZY ;
Dai, QL ;
Wu, XQ ;
Chen, GT .
APPLIED CATALYSIS A-GENERAL, 1997, 161 (1-2) :183-190