Ammonia Fuel Cells for Wind Power Smoothing and Control for Smart Grid Applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The fluctuant nature of wind power constitutes a major challenge that needs to be addressed in smart grids. Fuel cells provide vast opportunities for wind power smoothing and control. Specifically, ammonia fuel cells provide solutions to various problems associated with hydrogen fuel cells. Hence, in this study, the implementation of ammonia fuel cells is investigated for wind power smoothing and control. The moving average (MA), Savitzky-Golay (SG), and moving median (MM) smoothing filters are utilized to smooth fluctuant wind power outputs. An electrochemical ammonia synthesizer (EAS) is utilized to synthesize ammonia when excess power is available. A direct ammonia fuel cell (DAFC) is employed for mitigating power deficits to attain smooth power outputs. Daily EAS and DAFC capacity requirements are found to reach 16.3 kmol and 59.8 MWh respectively for the SG filtered smooth power. The developed energy storage system provides an effective methodology for smoothing and control of fluctuant wind power.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe
Subtitle of host publicationSmart Grids: Toward a Carbon-Free Future, ISGT Europe 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665448758
DOIs
StatePublished - 2021

Publication series

NameProceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Fuel cells
  • ammonia
  • hydrogen
  • power-smoothing
  • sustainable energy
  • wind power

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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