SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (1): 128-137.DOI: 10.1016/j.cjche.2014.09.040

• 过程系统工程与过程安全 • 上一篇    下一篇

Synthesis/design optimization of SOFC-PEM hybrid system under uncertainty

Lingjun Tan, Chen Yang, Nana Zhou   

  1. Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education, Chongqing University, Chongqing 400030, China
  • 收稿日期:2013-03-07 修回日期:2013-08-21 出版日期:2015-01-28 发布日期:2015-01-24
  • 通讯作者: Chen Yang
  • 基金资助:

    Supported by the National Natural Science Foundation of China (50876117) and the Fundamental Research Funds for the Central Universities (CDJXS11141149).

Synthesis/design optimization of SOFC-PEM hybrid system under uncertainty

Lingjun Tan, Chen Yang, Nana Zhou   

  1. Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education, Chongqing University, Chongqing 400030, China
  • Received:2013-03-07 Revised:2013-08-21 Online:2015-01-28 Published:2015-01-24
  • Contact: Chen Yang
  • Supported by:

    Supported by the National Natural Science Foundation of China (50876117) and the Fundamental Research Funds for the Central Universities (CDJXS11141149).

摘要: Solid oxide fuel cell-proton exchange membrane (SOFC-PEM) hybrid system is being foreseen as a valuable alternative for power generation. As this hybrid system is a conceptual design, many uncertainties involving input values should be considered at the early stage of process optimization. We present in this paper a generalized framework of multi-objective optimization under uncertainty for the synthesis/design optimization of the SOFC-PEM hybrid system. The framework is based on geometric, economic and electrochemical models and focuses on evaluating the effect of uncertainty in operating parameters on three conflicting objectives: electricity efficiency, SOFC current density and capital cost of system. Themulti-objective optimization provides solutions in the form of a Pareto surface, with a range of possible synthesis/design solutions and a logical procedure for searching the global optimum solution for decision maker. Comparing the stochastic and deterministic Pareto surfaces of different objectives, we conclude that the objectives are considerably influenced by uncertainties because the two trade-off surfaces are different.

关键词: Solid oxide fuel cell, Proton exchange membrane fuel cell, Hybrid system, Uncertainty, Optimization

Abstract: Solid oxide fuel cell-proton exchange membrane (SOFC-PEM) hybrid system is being foreseen as a valuable alternative for power generation. As this hybrid system is a conceptual design, many uncertainties involving input values should be considered at the early stage of process optimization. We present in this paper a generalized framework of multi-objective optimization under uncertainty for the synthesis/design optimization of the SOFC-PEM hybrid system. The framework is based on geometric, economic and electrochemical models and focuses on evaluating the effect of uncertainty in operating parameters on three conflicting objectives: electricity efficiency, SOFC current density and capital cost of system. Themulti-objective optimization provides solutions in the form of a Pareto surface, with a range of possible synthesis/design solutions and a logical procedure for searching the global optimum solution for decision maker. Comparing the stochastic and deterministic Pareto surfaces of different objectives, we conclude that the objectives are considerably influenced by uncertainties because the two trade-off surfaces are different.

Key words: Solid oxide fuel cell, Proton exchange membrane fuel cell, Hybrid system, Uncertainty, Optimization