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

Wei Wu; Yan Chi Liou; Ya Yan Zhou

doi:10.1021/ie202789j

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

Wei Wu, Yan Chi Liou, Ya Yan Zhou

Department of Chemical Engineering

Research output: Contribution to journal › Article › peer-review

10 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 language	English
Pages (from-to)	2644-2651
Number of pages	8
Journal	Industrial and Engineering Chemistry Research
Volume	51
Issue number	6
DOIs	https://doi.org/10.1021/ie202789j
Publication status	Published - 2012 Feb 15

All Science Journal Classification (ASJC) codes

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

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10.1021/ie202789j

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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.",

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N2 - 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.

AB - 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.

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

Abstract

All Science Journal Classification (ASJC) codes

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