Experimental study of the performance degradation of proton exchange membrane fuel cell based on a multi-module stack under selected load profiles by clustering algorithm-Reference-Cited by-同舟云学术

Experimental study of the performance degradation of proton exchange membrane fuel cell based on a multi-module stack under selected load profiles by clustering algorithm

Published:2023-05 Issue: Volume:270 Page:126937
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Huang Weifeng,Niu Tong,Zhang Caizhi^ORCID,Fu Zuhang,Zhang Yuqi,Zhou Weijiang,Pan Zehua,Zhang Kaiqing

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference39 articles.

1. Overview of energy, society, and environment towards sustainable and development;Ali,2020

2. Impact assessment of battery energy storage systems towards achieving sustainable development goals;Hannan;J Energy Storage,2021

3. Hydrogen energy systems: a critical review of technologies, applications, trends and challenges;Yue,2021

4. A review on lifetime prediction of proton exchange membrane fuel cells system;Hua;J Power Sources,2022

5. Quantification on fuel cell degradation and techno-economic analysis of a hydrogen-based grid-interactive residential energy sharing network with fuel-cell-powered vehicles;He;Appl Energy,2021

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