Optimal parameters of PEM fuel cells using chaotic binary shark smell optimizer-Reference-Cited by-同舟云学术

Optimal parameters of PEM fuel cells using chaotic binary shark smell optimizer

Published:2019-10-18 Issue: Volume: Page:1-15
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Han Wenqi¹²,Li Dezhi²,Yu Dongmin¹²,Ebrahimian Homayoun³^ORCID

Affiliation:

1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, China

2. Electric Power Research Institute of China, Beijing, China

3. Ardabil Branch, Islamic Azad University, Ardabil, Iran

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2019.1676845

Reference31 articles.

1. Extracting Appropriate Nodal Marginal Prices for All Types of Committed Reserve

2. Modeling and optimization of the air system in polymer exchange membrane fuel cell systems

3. Modeling and simulation of proton exchange membrane fuel cell systems

4. Wind/hydrogen hybrid systems: Opportunity for Ireland’s wind resource to provide consistent sustainable energy supply

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