Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications

Integration of wind and solar energy sources in power systems causes frequency and voltage-related power quality issues, especially at high penetration levels. Battery energy storage systems help reduce fluctuations by absorbing excess power and delivering power deficits. However, batteries suffer f...

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Main Authors: Miswar A. Syed, Osamah Siddiqui, Mehrdad Kazerani, Muhammad Khalid
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10466745/
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author Miswar A. Syed
Osamah Siddiqui
Mehrdad Kazerani
Muhammad Khalid
author_facet Miswar A. Syed
Osamah Siddiqui
Mehrdad Kazerani
Muhammad Khalid
author_sort Miswar A. Syed
collection DOAJ
description Integration of wind and solar energy sources in power systems causes frequency and voltage-related power quality issues, especially at high penetration levels. Battery energy storage systems help reduce fluctuations by absorbing excess power and delivering power deficits. However, batteries suffer from capacity fading and degradation due to frequent cycling. Storing energy in the form of a chemical fuel helps in overcoming these drawbacks. Since ammonia fuel cells address issues associated with hydrogen fuel cells, such as high flammability, poor volumetric density, and high storage costs, in this study the application of ammonia fuel cells for solar and wind power leveling is investigated. Excess wind/solar power is used in an electrochemical ammonia synthesizer (EAS) to produce ammonia, and a direct ammonia fuel cell (DAFC) converts the ammonia to electric power and supplies the power deficit. Smoothing filter concepts, such as moving average, moving median, Savitzky-Golay, moving regression (MR), and Gaussian filters, are employed to assess EAS and DAFC capacity requirements. Simulation results show that MR filter’s overall performance is superior to those of other smoothing filter approaches, resulting in reduced required capacities for ammonia production and fuel cell output, lowering system costs. The developed energy storage system is an effective compensation method for solar and wind power fluctuations.
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spelling doaj-art-1834da5d86624e20a2dec16e7a5c1fb52025-08-20T03:19:12ZengIEEEIEEE Access2169-35362024-01-0112465124652310.1109/ACCESS.2024.337651310466745Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid ApplicationsMiswar A. Syed0https://orcid.org/0009-0004-4832-8125Osamah Siddiqui1Mehrdad Kazerani2https://orcid.org/0000-0002-9200-2139Muhammad Khalid3https://orcid.org/0000-0001-7779-5348Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, CanadaSchool of Engineering, The University of British Columbia, Kelowna, BC, CanadaDepartment of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, CanadaElectrical Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi ArabiaIntegration of wind and solar energy sources in power systems causes frequency and voltage-related power quality issues, especially at high penetration levels. Battery energy storage systems help reduce fluctuations by absorbing excess power and delivering power deficits. However, batteries suffer from capacity fading and degradation due to frequent cycling. Storing energy in the form of a chemical fuel helps in overcoming these drawbacks. Since ammonia fuel cells address issues associated with hydrogen fuel cells, such as high flammability, poor volumetric density, and high storage costs, in this study the application of ammonia fuel cells for solar and wind power leveling is investigated. Excess wind/solar power is used in an electrochemical ammonia synthesizer (EAS) to produce ammonia, and a direct ammonia fuel cell (DAFC) converts the ammonia to electric power and supplies the power deficit. Smoothing filter concepts, such as moving average, moving median, Savitzky-Golay, moving regression (MR), and Gaussian filters, are employed to assess EAS and DAFC capacity requirements. Simulation results show that MR filter’s overall performance is superior to those of other smoothing filter approaches, resulting in reduced required capacities for ammonia production and fuel cell output, lowering system costs. The developed energy storage system is an effective compensation method for solar and wind power fluctuations.https://ieeexplore.ieee.org/document/10466745/Fuel cellspower smoothingsmoothing filterswind powersolar powergreen hydrogen
spellingShingle Miswar A. Syed
Osamah Siddiqui
Mehrdad Kazerani
Muhammad Khalid
Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications
IEEE Access
Fuel cells
power smoothing
smoothing filters
wind power
solar power
green hydrogen
title Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications
title_full Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications
title_fullStr Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications
title_full_unstemmed Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications
title_short Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications
title_sort analysis and modeling of direct ammonia fuel cells for solar and wind power leveling in smart grid applications
topic Fuel cells
power smoothing
smoothing filters
wind power
solar power
green hydrogen
url https://ieeexplore.ieee.org/document/10466745/
work_keys_str_mv AT miswarasyed analysisandmodelingofdirectammoniafuelcellsforsolarandwindpowerlevelinginsmartgridapplications
AT osamahsiddiqui analysisandmodelingofdirectammoniafuelcellsforsolarandwindpowerlevelinginsmartgridapplications
AT mehrdadkazerani analysisandmodelingofdirectammoniafuelcellsforsolarandwindpowerlevelinginsmartgridapplications
AT muhammadkhalid analysisandmodelingofdirectammoniafuelcellsforsolarandwindpowerlevelinginsmartgridapplications