出版日期：2008-03-01 00:00:00

著者：Cheng, Shueh-hen; Chen, Hsi-jen; Chang, Hsuan; Chang, Cheng-kai; Chen, Yi-ming

單位：淡江大學化學工程與材料工程學系

出版者：Pergamon

著錄名稱、卷期、頁數：Chemical Engineering Science 63(6), pp.1428-1437

摘要：This paper provides the triple-objective-function optimization results for the catalytic membrane reactors, including one for methanol synthesis and one for hydrogen generation. A 1-D, non-isothermal model, which takes into account the intra-particle diffusion for the catalyst, and the elitist nondominated sorting genetic algorithm (NSGA-II) for the multi-objective optimization are adopted. Optimal solutions for methanol synthesis and hydrogen generation systems show distinctive feature. One is randomly scattered and the other is linearly spread out in the Pareto plot. Solution characteristics in terms of variable distribution are quite different for the two systems. Device size, including membrane area and membrane size, shows effects both on the optimal solutions and on the correlation relations between objective functions and variables.

關鍵字：Genetic algorithm; Multi-objective optimization; Catalytic membrane reactor; Methanol synthesis; Carbon dioxide; Hydrogen; Methane

語言：en

ISSN：0009-2509

期刊性質：國外

收錄於：SCI EI

國別：GBR