Long term performance degradation analysis and optimization of anode supported solid oxide fuel cell stacks

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• 作者：Tarannom Parhizkar ^{Parhizkar@energy.sharif.edu} ; Ramin Roshandel ; ^{Roshandel@sharif.edu}
• 关键词：Degradation based optimization ; Cost of electricity ; Optimum operating conditions ; Solid oxide fuel cell
• 刊名：Energy Conversion and Management
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：133
• 期：Complete
• 页码：20-30
• 全文大小：1752 K
• 卷排序：133

文摘

A degradation based optimization framework is developed. The cost of electricity based on degradation of solid oxide fuel cells is minimized. The effects of operating conditions on degradation mechanisms are investigated. Results show 7.12% lower cost of electricity in comparison with base case. Degradation based optimization is a beneficial concept for long term analysis.