A hybrid multi-level optimization approach for the dynamic synthesis/design and operation/control under uncertainty of a fuel cell system

Author:

Kim Kihyung,von Spakovsky Michael R.,Wang M.,Nelson Douglas J.

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference17 articles.

1. Optimal unit sizing of cogeneration systems in consideration of uncertainty energy demands as continuous random variables;Gamou;Energy Conversion and Management,2002

2. Multi-objective optimization for hybrid fuel cells power system under uncertainty;Subramanyan;Journal of Power Sources,2004

3. Muñoz JR. Optimization strategies for the synthesis/design of highly coupled, highly dynamic energy systems. PhD Dissertation, M.E. Dept., Virginia Polytechnic Institute and State University, Blacksburg, VA, 2000.

4. Rancruel D. Dynamic synthesis/design and operation/control optimization approach applied to a solid oxide fuel cell base auxiliary. PhD Dissertation, M.E. Dept., Virginia Polytechnic Institute and State University, Blacksburg, VA, 2005.

5. A methodology for thermo-economic modeling and optimization of solid oxide fuel cell systems;Palazzi;Applied Thermal Engineering,2007

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