摘要
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.
| 原文 | English |
|---|---|
| 頁（從 - 到） | 2644-2651 |
| 頁數 | 8 |
| 期刊 | Industrial and Engineering Chemistry Research |
| 卷 | 51 |
| 發行號 | 6 |
| DOIs | |
| 出版狀態 | Published - 2012 二月 15 |
指紋
All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Chemistry(all)
- Industrial and Manufacturing Engineering
引用此文
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Multiobjective optimization of a hydrogen production system with low CO 2 emissions. / Wu, Wei; Liou, Yan Chi; Zhou, Ya Yan.
於: Industrial and Engineering Chemistry Research, 卷 51, 編號 6, 15.02.2012, p. 2644-2651.研究成果: Article
TY - JOUR
T1 - Multiobjective optimization of a hydrogen production system with low CO 2 emissions
AU - Wu, Wei
AU - Liou, Yan Chi
AU - Zhou, Ya Yan
PY - 2012/2/15
Y1 - 2012/2/15
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.
UR - http://www.scopus.com/inward/record.url?scp=84863131228&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863131228&partnerID=8YFLogxK
U2 - 10.1021/ie202789j
DO - 10.1021/ie202789j
M3 - Article
AN - SCOPUS:84863131228
VL - 51
SP - 2644
EP - 2651
JO - Industrial & Engineering Chemistry Product Research and Development
JF - Industrial & Engineering Chemistry Product Research and Development
SN - 0888-5885
IS - 6
ER -