Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm

Hamdy M. Sultan; Ahmed S. Menesy; Salah Kamel; Hany M. Hasanien; Ahmed Al-Durra

doi:10.1109/SPIES48661.2020.9242973

Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm

Hamdy M. Sultan
, Ahmed S. Menesy
, Salah Kamel
, Hany M. Hasanien
, Ahmed Al-Durra

Electrical Engineering

Faculty of Engineering
Aswan University
Faculty of Engineering Ain Shams University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Recently, Fuel Cells (FCs) are considered a promising alternative to the conventional energy sources. Proton Exchange Membrane Fuel Cell (PEMFC) is the popular used type among different FC stacks. The mathematical model for PEMFC is an important issue for understanding the operation of FC and simulating its electrical and electrochemical characteristics. In this paper, the application of Water Cycle Algorithm (WCA) is developed to solve the optimization problem of estimating the unknown parameters of PEMFC model. The effectiveness of WCA is validated using two different commercial FC stacks. In addition, statistical analysis based on different metrics has been conducted to validate the goodness and stability of developed algorithm in solving the optimization problem. The results obtained from the WCA are compared with those obtained by other optimization techniques tackled with the same FC stacks. Moreover, the accuracy of optimized parameters is proved by the dynamic performance of PEMFC stacks under different operating scenarios of cell temperature and reactants' pressures. The obtained results show the effectiveness of developed algorithm as a good competitor to other recent optimization techniques in extracting the unknown parameters of PEMFC stacks.

Original language	British English
Title of host publication	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	176-181
Number of pages	6
ISBN (Electronic)	9781728166117
DOIs	https://doi.org/10.1109/SPIES48661.2020.9242973
State	Published - 15 Sep 2020
Event	2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 - Bangkok, Thailand Duration: 15 Sep 2020 → 18 Sep 2020

Publication series

Name	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

Conference

Conference	2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Country/Territory	Thailand
City	Bangkok
Period	15/09/20 → 18/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Optimization
Parameter estimation
Polarization curves
Proton exchange membrane fuel cell
Water cycle algorithm

Access to Document

10.1109/SPIES48661.2020.9242973

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Sultan, H. M., Menesy, A. S., Kamel, S., Hasanien, H. M., & Al-Durra, A. (2020). Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm. In 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 (pp. 176-181). Article 9242973 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPIES48661.2020.9242973

Sultan, Hamdy M. ; Menesy, Ahmed S. ; Kamel, Salah et al. / Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm. 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 176-181 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020).

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abstract = "Recently, Fuel Cells (FCs) are considered a promising alternative to the conventional energy sources. Proton Exchange Membrane Fuel Cell (PEMFC) is the popular used type among different FC stacks. The mathematical model for PEMFC is an important issue for understanding the operation of FC and simulating its electrical and electrochemical characteristics. In this paper, the application of Water Cycle Algorithm (WCA) is developed to solve the optimization problem of estimating the unknown parameters of PEMFC model. The effectiveness of WCA is validated using two different commercial FC stacks. In addition, statistical analysis based on different metrics has been conducted to validate the goodness and stability of developed algorithm in solving the optimization problem. The results obtained from the WCA are compared with those obtained by other optimization techniques tackled with the same FC stacks. Moreover, the accuracy of optimized parameters is proved by the dynamic performance of PEMFC stacks under different operating scenarios of cell temperature and reactants' pressures. The obtained results show the effectiveness of developed algorithm as a good competitor to other recent optimization techniques in extracting the unknown parameters of PEMFC stacks.",

keywords = "Optimization, Parameter estimation, Polarization curves, Proton exchange membrane fuel cell, Water cycle algorithm",

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Sultan, HM, Menesy, AS, Kamel, S, Hasanien, HM & Al-Durra, A 2020, Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm. in 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020., 9242973, 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020, Institute of Electrical and Electronics Engineers Inc., pp. 176-181, 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020, Bangkok, Thailand, 15/09/20. https://doi.org/10.1109/SPIES48661.2020.9242973

Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm. / Sultan, Hamdy M.; Menesy, Ahmed S.; Kamel, Salah et al.
2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 176-181 9242973 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm

AU - Sultan, Hamdy M.

AU - Menesy, Ahmed S.

AU - Kamel, Salah

AU - Hasanien, Hany M.

AU - Al-Durra, Ahmed

PY - 2020/9/15

Y1 - 2020/9/15

N2 - Recently, Fuel Cells (FCs) are considered a promising alternative to the conventional energy sources. Proton Exchange Membrane Fuel Cell (PEMFC) is the popular used type among different FC stacks. The mathematical model for PEMFC is an important issue for understanding the operation of FC and simulating its electrical and electrochemical characteristics. In this paper, the application of Water Cycle Algorithm (WCA) is developed to solve the optimization problem of estimating the unknown parameters of PEMFC model. The effectiveness of WCA is validated using two different commercial FC stacks. In addition, statistical analysis based on different metrics has been conducted to validate the goodness and stability of developed algorithm in solving the optimization problem. The results obtained from the WCA are compared with those obtained by other optimization techniques tackled with the same FC stacks. Moreover, the accuracy of optimized parameters is proved by the dynamic performance of PEMFC stacks under different operating scenarios of cell temperature and reactants' pressures. The obtained results show the effectiveness of developed algorithm as a good competitor to other recent optimization techniques in extracting the unknown parameters of PEMFC stacks.

AB - Recently, Fuel Cells (FCs) are considered a promising alternative to the conventional energy sources. Proton Exchange Membrane Fuel Cell (PEMFC) is the popular used type among different FC stacks. The mathematical model for PEMFC is an important issue for understanding the operation of FC and simulating its electrical and electrochemical characteristics. In this paper, the application of Water Cycle Algorithm (WCA) is developed to solve the optimization problem of estimating the unknown parameters of PEMFC model. The effectiveness of WCA is validated using two different commercial FC stacks. In addition, statistical analysis based on different metrics has been conducted to validate the goodness and stability of developed algorithm in solving the optimization problem. The results obtained from the WCA are compared with those obtained by other optimization techniques tackled with the same FC stacks. Moreover, the accuracy of optimized parameters is proved by the dynamic performance of PEMFC stacks under different operating scenarios of cell temperature and reactants' pressures. The obtained results show the effectiveness of developed algorithm as a good competitor to other recent optimization techniques in extracting the unknown parameters of PEMFC stacks.

KW - Optimization

KW - Parameter estimation

KW - Polarization curves

KW - Proton exchange membrane fuel cell

KW - Water cycle algorithm

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BT - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 15 September 2020 through 18 September 2020

ER -

Sultan HM, Menesy AS, Kamel S, Hasanien HM, Al-Durra A. Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm. In 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 176-181. 9242973. (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020). doi: 10.1109/SPIES48661.2020.9242973

Identifying optimal parameters of proton exchange membrane fuel cell using water cycle algorithm

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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