Please use this identifier to cite or link to this item: https://doi.org/10.1252/jcej.34.1341
Title: Triple-objective optimization of an industrial hydrogen plant
Authors: Oh, P.P.
Ray, A.K. 
Rangaiah, G.P. 
Keywords: Genetic algorithm
Hydrogen production
Modelling and optimization
Multiple objectives
Optimal heat flux profile
Issue Date: Nov-2001
Source: Oh, P.P., Ray, A.K., Rangaiah, G.P. (2001-11). Triple-objective optimization of an industrial hydrogen plant. Journal of Chemical Engineering of Japan 34 (11) : 1341-1355. ScholarBank@NUS Repository. https://doi.org/10.1252/jcej.34.1341
Abstract: In this work the performance of an industrial hydrogen plant is improved by multi-objective optimization using an adaptation of the nondominated sorting genetic algorithm (NSGA). The heat flux profile on the steam reformer tubes is treated as a decision variable, yielding optimal heat flux profiles for each Pareto solution. The optimization problem has been considered both as a two and three-objective problem. For a fixed feed rate of methane to the unit, simultaneous maximization of product hydrogen and export steam flow rates are considered as the two objectives. The results are better than those obtained in an earlier work by Rajesh et al. (2001), with flue gas temperature in place of the heat flux profile as a decision variable. Minimization of reformer duty was chosen to be the third objective. More useful information is available for the optimal operation of hydrogen plants from three-objective optimization, even though computational time for two and three objectives is comparable.
Source Title: Journal of Chemical Engineering of Japan
URI: http://scholarbank.nus.edu.sg/handle/10635/66892
ISSN: 00219592
DOI: 10.1252/jcej.34.1341
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