Title: Performance optimization of polymer electrolyte membrane fuel cells using the Nelder-Mead algorithm
Citation: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY vol. 42 no. 31 p. 20187-20200
Publication Year: 2017
JRC N°: JRC100033
ISSN: 0360-3199
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC100033
DOI: 10.1016/j.ijhydene.2017.06.167
Type: Articles in periodicals and books
Abstract: The direct-search simplex method for function optimization has been adapted to performance optimization of polymer electrolyte membrane fuel cells (PEMFCs). The established method is strongly application oriented and uses only experimentally determined data for optimization. It is not restricted to discrete parameters optimums and does not require the use of third-party software or computational resources. Hence, it is easy to implement in fuel cell testing stations. The optimization consists of finding, for a given fuel cell load, an optimum set of values of the 7 fuel cell operating parameters: the fuel cell temperature, the reactants' stoichiometric ratios, the reactants' inlet relative humidity, and the reactants' outlet pressures, resulting in the highest fuel cell performance. The performance is measured using a scalar function of the operating parameters and the load and can be defined according to needs. Two PEMFC performance functions: the fuel cell voltage and the system-related fuel cell efficiency were optimized using the procedure for practically sized PEMFC stacks of two designs. With respect to the nominal operating conditions defined as optimal for each stack design by its manufacturer, the gains from the optimization procedure were up to over 12% and up to over 7% for the stack voltage and efficiency, respectively. The validation of the procedure involved 5 stack specimens and four laboratories and consistent results were obtained.
JRC Directorate:Energy, Transport and Climate

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