Multi-Objective Assessment and Optimization of a High-Temperature Proton Exchange Membrane Fuel Cell: Steady-State Analysis

Zhaoda Zhong (), Samuel Simon Araya (), Vincenzo Liso and Jimin Zhu
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Zhaoda Zhong: AAU Energy, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg Øst, Denmark
Samuel Simon Araya: AAU Energy, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg Øst, Denmark
Vincenzo Liso: AAU Energy, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg Øst, Denmark
Jimin Zhu: AAU Energy, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg Øst, Denmark

Energies, 2023, vol. 16, issue 24, 1-21

Abstract: The design and operational conditions of high-temperature proton exchange membrane fuel cells (HT-PEMFCs) substantially impact their performance. This model aims to investigate the influence of various parameters on the performance of HT-PEMFC. A comprehensive examination revealed that the performance of HT-PEMFC experienced a significant enhancement through modifications to the operating temperature, doping levels, and membrane thickness. Significantly, it can be observed that operating pressure showed a limited influence on performance. The HT-PEMFC was optimized using the non-dominated sorting genetic algorithm II (NSGA-II), specifically emphasizing three primary performance indicators: equivalent power density, energy efficiency, and exergy efficiency. The findings demonstrate promising outcomes, as they reveal a noteworthy enhancement in power density by 17.72% and improvements in energy efficiency and exergy efficiency by 21.11% and 10.37%, respectively, compared to the baseline case.

Keywords: NSGA-II; HT-PEMFC; multi-objective optimization; exergy analysis; energy analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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