Optimisation of an SOFC/GT system with CO2-capture

被引:51
|
作者
Möller, BF
Arriagada, J
Assadi, M
Potts, I
机构
[1] Lund Inst Technol, Dept Heat & Power Engn, S-22100 Lund, Sweden
[2] Newcastle Univ, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
关键词
SOFC; gas turbine; hybrid system; optimisation; genetic algorithm; CO2-capture;
D O I
10.1016/j.jpowsour.2003.11.090
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Hybrid systems combining solid oxide fuel cells and gas turbines (SOFC/GT) have been extensively studied in recent years. They show very high theoretical electrical efficiencies and are considered as prime contenders for distributed generation. The addition of a CO2-capture system could make them even more attractive from an environmental perspective. In this study, a SOFC/GT configuration with and without a tail-end CO2 separation plant has been examined. In this work, the key parameters of the hybrid system are selected by an innovative tool based on a genetic algorithm (GA), which replaces the cumbersome parameter studies that generally are performed for this purpose. The focus is put on the evaluation of the GA as a tool for handling the multi-variable non-linear optimisation problem. The result of the optimisation procedure is a SOFC/GT system that exhibits an electrical efficiency above 60% with part capture of the CO2. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:320 / 326
页数:7
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