期刊
APPLIED ENERGY
卷 103, 期 -, 页码 368-374出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2012.09.059
关键词
Synthesis gas; Multi-objective (MO); Normal Boundary Intersection (NBI); Gravitational Search Algorithm (GSA); Particle Swarm Optimization (PSO); Performance metrics
资金
- Universiti Teknologi PETRONAS (UTP) through STIRF [90/10.11]
In the chemical industry, the production of methanol, ammonia, hydrogen and higher hydrocarbons require synthesis gas (or syn gas). The main three syn gas production methods are carbon dioxide reforming (CRM), steam reforming (SRM) and partial-oxidation of methane (POM). In this work, multi-objective (MO) optimization of the combined CRM and POM was carried out. The empirical model and the MO problem formulation for this combined process were obtained from previous works. The central objectives considered in this problem are methane conversion, carbon monoxide selectivity and the hydrogen to carbon monoxide ratio. The MO nature of the problem was tackled using the Normal Boundary Intersection (NBI) method. Two techniques (Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO)) were then applied in conjunction with the NBI method. The performance of the two algorithms and the quality of the solutions were gauged by using two performance metrics. Comparative studies and results analysis were then carried out on the optimization results. (c) 2012 Elsevier Ltd. All rights reserved.
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