Estimation of Starting Voltage of PEMFC by Using Statistical Analysis and Artificial Neural Networks

Amine Abbou, Saad Saleem Khan, Abdennebi Hsnaoui, Waqar Ali Sher, Muhammad Haris, Faisal Yamin, Hussain Shareef

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Proton exchange membrane fuel cell (PEMFC) is a substitute energy source that provides electricity from hydrogen and oxygen fuel. The PEMFC has found its application not only in electric power generation but also has founds its use in electric vehicles and aircraft applications. The performance of the PEMFC is affected by the variation in ambient conditions especially at the time of start-up. Both ambient temperature, relative humidity of air and ambient pressure of air have major impact on open-cathode PEMFC efficacy. However, in case of close cathode system where pure oxygen is provided to PEMFC, the ambient air pressure and humidity variations does not affect significantly. In this case ambient temperature remains the only important factor on PEMFC performance. In this work the starting voltage of the PEMFC has been studied at altered loading settings. Various techniques such as statistical analysis and artificial neural networks have been used to predict the starting voltage of PEMFC. Artificial neural feed-forward networks are found to be very effective in determining the start-up voltage of PEMFC at various ambient conditions.

Original languageEnglish
Title of host publication2021 6th International Conference on Renewable Energy
Subtitle of host publicationGeneration and Applications, ICREGA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-57
Number of pages4
ISBN (Electronic)9781728183015
DOIs
Publication statusPublished - Feb 2 2021
Event6th International Conference on Renewable Energy: Generation and Applications, ICREGA 2021 - Al Ain, United Arab Emirates
Duration: Feb 2 2021Feb 4 2021

Publication series

Name2021 6th International Conference on Renewable Energy: Generation and Applications, ICREGA 2021

Conference

Conference6th International Conference on Renewable Energy: Generation and Applications, ICREGA 2021
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period2/2/212/4/21

Keywords

  • Proton exchange membrane fuel cell
  • ambient temperature
  • central composite design
  • neural networks
  • starting voltage

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

Fingerprint

Dive into the research topics of 'Estimation of Starting Voltage of PEMFC by Using Statistical Analysis and Artificial Neural Networks'. Together they form a unique fingerprint.

Cite this