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Open AccessArticle

Proton Exchange Membrane Fuel Cell Stack Design Optimization Using an Improved Jaya Algorithm

Department of Mathematics and Computer Science, University of Missouri, St. Louis, MO 63121, USA
Energies 2019, 12(16), 3176; https://doi.org/10.3390/en12163176
Received: 21 June 2019 / Revised: 12 August 2019 / Accepted: 14 August 2019 / Published: 19 August 2019
Fuel cell stack configuration optimization is known to be a problem that, in addition to presenting engineering challenges, is computationally hard. This paper presents an improved computational heuristic for solving the problem. The problem addressed in this paper is one of constrained optimization, where the goal is to seek optimal (or near-optimal) values of (i) the number of proton exchange membrane fuel cells (PEMFCs) to be connected in series to form a group, (ii) the number of such groups to be connected in parallel, and (iii) the cell area, such that the PEMFC assembly delivers the rated voltage at the rated power while the cost of building the assembly is as low as possible. Simulation results show that the proposed method outperforms four of the best-known methods in the literature. The improvement in performance afforded by the proposed algorithm is validated with statistical tests of significance. View Full-Text
Keywords: proton exchange membrane (PEM) fuel cell; maximum power point; optimization; machine learning; simulation; heuristic proton exchange membrane (PEM) fuel cell; maximum power point; optimization; machine learning; simulation; heuristic
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Chakraborty, U.K. Proton Exchange Membrane Fuel Cell Stack Design Optimization Using an Improved Jaya Algorithm. Energies 2019, 12, 3176.

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