Network Based Optimization Model for Pin-Type Flow Field of Polymer Electrolyte Membrane Fuel Cell.
Abstract
The flow field of a bipolar plate distributes reactants for polymer electrolyte membrane (PEM) fuel cells and removes the produced water from the fuel cells. It greatly influences the performance of fuel cells, especially the concentration losses. Pin-type design, as one of the widely utilized flow field configurations, has the advantage of low pressure drop but the disadvantage of uneven flow distribution and stagnant areas. In this paper, a network-based optimization model was developed to optimize the pin-type flow field configuration. Two optimization cases, uniform flow distribution with and without considering reactant consumption along flow channels, were investigated and the corresponding optimized designs were developed. Three-dimensional numerical simulations of PEM fuel cell were conducted to validate the proposed optimization model and also to compare the performance of the fuel cells using the optimized designs and the regular pin-type design. The numerical results verified the designs generated with the present optimization model. Both the optimized designs exhibited substantially higher fuel cell performance compared to the regular pin-type configuration. Moreover, the optimized design with considering reactant consumption performed even better than the one without considering the consumption, emphasizing the significance of reactant consumption in the flow field optimization model.
Recommended Citation
N. Guo et al., "Network Based Optimization Model for Pin-Type Flow Field of Polymer Electrolyte Membrane Fuel Cell.," International Journal of Hydrogen Energy, Elsevier, Jan 2013.
The definitive version is available at https://doi.org/10.1016/j.ijhydene.2013.03.066
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Optimization Model; Pin-Type Configuration; Flow-Field; Flow Distribution; PEM Fuel Cell
International Standard Serial Number (ISSN)
0360-3199
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2013 Elsevier, All rights reserved.
Publication Date
01 Jan 2013