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A new approach to multi-objective optimisation method in PEM fuel cell

Tahmasbi, A. A ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1080/14786451.2013.813945
  3. Publisher: Taylor and Francis Ltd , 2015
  4. Abstract:
  5. This paper presents an optimisation model for polymer electrolyte membrane fuel cell system based on simultaneous power maximisation and cost minimisation. The results show that, by employing appropriate relation between the objectives, the innovative design could be proposed. Genetic algorithm is applied to solve the optimisation problem. Power maximisation results reveal that at maximum amount of power (1.95 kW), unit cost of energy is $0.64. In contrast, minimisation of cost decreases unit cost of energy to $0.33. In this condition, output power is reduced approximately to 0.93 kW. To consider both optimisation problems concurrently, weighting method and Pareto set are employed. Our outcomes proposed that applying Pareto set to any optimisation problem leads to realistic decision-making. Eventually, sensitivity analysis is done on Pareto set, based on different Nafion membrane types and hydrogen cost variation
  6. Keywords:
  7. Nafion resistance ; Cost benefit analysis ; Costs ; Decision making ; Design ; Fuel cells ; Genetic algorithms ; Hydrogen ; Multiobjective optimization ; Optimization ; Polyelectrolytes ; Problem solving ; Sensitivity analysis ; Cost minimisation ; Hydrogen costs ; Optimisation models ; Optimisation problems ; Pareto set ; PEM fuel cell ; Polymer electrolyte membranes ; Weighting methods ; Proton exchange membrane fuel cells (PEMFC)
  8. Source: International Journal of Sustainable Energy ; Volume 34, Issue 5 , Jul , 2015 , Pages 283-297 ; 14786451 (ISSN)
  9. URL: http://www.tandfonline.com/doi/abs/10.1080/14786451.2013.813945?journalCode=gsol20