Two strategies for multi-objective optimisation of solid oxide fuel cell stacks

International Journal of Sustainable Energy (2013), DOI:10.1080/14786451.2013.777337
Two strategies for multi-objective optimisation of solid oxide fuel cell stacks
Ramin Roshandela* & Atefeh Behzadi Forougha
a Department of Energy Engineering, Sharif University of Technology, Tehran, Iran
Abstract
Focuses on multi-objective optimization (MOO) to optimize the planar solid oxide fuel cell (SOFC) stacks performance using a genetic algorithm. MOO problem does not have a single solution, but a complete Pareto curve.  It includes involves the optional representation of possible compromise solutions.
Authors consider two pairs of differing objectives as distinguished strategies. Optimization of the first strategy predicts a maximum power output of 108.33 kW at a breakeven per-unit energy cost of 0.51 $/kWh and minimum breakeven per-unit energy cost of 0.30 $/kWh at a power of 42.18 kW. In the second strategy, maximum efficiency of 63.93%at a breakeven per-unit energy cost of 0.42 $/kWh is predicted, while minimum breakeven per-unit energy cost of 0.25 $/kWh at efficiency of 48.3% is obtained. The study provides a basis for selecting optimal operating conditions of SOFC in the face of multiple conflicting objectives.
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