Multiobjective optimization of a hydrogen production system with low CO 2 emissions

Wei Wu, Yan Chi Liou, Ya Yan Zhou

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Since the steam methane reforming usually increases the temperature of stream and concentration of CO 2, this work introduces a CO 2 reformer that can produce syngas by consuming CH 4 and CO 2. In the proposed configuration, a CO 2 reformer is directly added between the steam methane reforming (SMR) process and a high-temperature shift (HTS) converter. To pursue the process optimization with respect to maximizing hydrogen production and minimizing carbon dioxide emission, a nondominated sorting genetic algorithm-II (NSGA-II) is employed to solve a constrained multiobjective optimization (MOO) problem. Finally, the proposed system configuration with heat recovery manner is validated by an Aspen HYSYS simulator.

Original languageEnglish
Pages (from-to)2644-2651
Number of pages8
JournalIndustrial and Engineering Chemistry Research
Volume51
Issue number6
DOIs
Publication statusPublished - 2012 Feb 15

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Steam reforming
Carbon Monoxide
Hydrogen production
Multiobjective optimization
Constrained optimization
Waste heat utilization
Sorting
Carbon dioxide
Simulators
Genetic algorithms
Temperature
Carbon Dioxide

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Chemistry(all)
  • Industrial and Manufacturing Engineering

Cite this

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Multiobjective optimization of a hydrogen production system with low CO 2 emissions. / Wu, Wei; Liou, Yan Chi; Zhou, Ya Yan.

In: Industrial and Engineering Chemistry Research, Vol. 51, No. 6, 15.02.2012, p. 2644-2651.

Research output: Contribution to journalArticle

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