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Performance optimization of polymer electrolyte membrane fuel cells using the Nelder-Mead algorithm

Piela, Piotr and Mitzel, Jens and Gülzow, Erich and Hunger, Jürgen and Kabza, Alexander and Jörissen, Ludwig and Valle, Francesco and Pilenga, Alberto and Malkow, Thomas and Tsotridis, Georgios (2017) Performance optimization of polymer electrolyte membrane fuel cells using the Nelder-Mead algorithm. International Journal of Hydrogen Energy, 42 (31), pp. 20187-20200. Elsevier. DOI: 10.1016/j.ijhydene.2017.06.167 ISSN 0360-3199

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Official URL: http://www.sciencedirect.com/science/article/pii/S0360319917325235

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.

Item URL in elib:https://elib.dlr.de/113518/
Document Type:Article
Title:Performance optimization of polymer electrolyte membrane fuel cells using the Nelder-Mead algorithm
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Piela, PiotricriUNSPECIFIED
Mitzel, Jensjens.mitzel (at) dlr.deUNSPECIFIED
Gülzow, ErichUNSPECIFIEDUNSPECIFIED
Hunger, JürgenZSWUNSPECIFIED
Kabza, AlexanderZSWUNSPECIFIED
Jörissen, LudwigzswUNSPECIFIED
Valle, FrancescoJRCUNSPECIFIED
Pilenga, AlbertoJRCUNSPECIFIED
Malkow, ThomasJRCUNSPECIFIED
Tsotridis, GeorgiosJRCUNSPECIFIED
Date:10 July 2017
Journal or Publication Title:International Journal of Hydrogen Energy
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:42
DOI :10.1016/j.ijhydene.2017.06.167
Page Range:pp. 20187-20200
Publisher:Elsevier
ISSN:0360-3199
Status:Published
Keywords:polymer electrolyte membrane fuel cells performance optimization operating conditions efficiency simplex search stack testing
HGF - Research field:Energy
HGF - Program:Storage and Cross-linked Infrastructures
HGF - Program Themes:Fuel cells
DLR - Research area:Energy
DLR - Program:E SP - Energy Storage
DLR - Research theme (Project):E - Electrochemical Processes (Fuel Cells)
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Electrochemical Energy Technology
Deposited By: Mitzel, Dr. Jens
Deposited On:29 Aug 2017 10:34
Last Modified:02 Mar 2018 12:22

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