Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell

Ahmed S. Menesy; Hamdy M. Sultan; Mohamed H. Hassan; Salah K. Elsayed; Salah Kamel

doi:10.1109/CHILECON54041.2021.9702937

Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell

Ahmed S. Menesy
, Hamdy M. Sultan
, Mohamed H. Hassan
, Salah K. Elsayed
, Salah Kamel

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

7 Scopus citations

Abstract

Nowadays, Fuel Cells are considered a viable alternative to the traditional sources of energy. Proton Exchange Membrane Fuel Cell (PEMFC) stack is the most common and famous kind between various kinds of fuel cell stacks. The PEMFC mathematical model is a very vital problem to understand the main performance and electrochemical features of the fuel cell. In this research paper, a new optimization algorithm called Tunicate Swarm Algorithm (TSA) is used to extract the unknown parameters of PEMFC mathematical model. Three different types of PEMFCs stacks, namely, 250W, BCS 500W and Temasek 1kW are used to validate the viability and accurateness of the TAS in solving this optimization problem. Furthermore, statistical measures based on various metrics has been performed and calculated to prove the reliability of TSA in dealing with this PEMFC's problem. The simulation results of TSA are compared with Tree growth Algorithm (TGA), Harris Hawks Optimizer (HHO) and other recent metaheuristic optimization algorithms. The optimized unknown parameters of PEMFC stacks are used to study the performance of the PEMFC in case of different temperature and pressures. The achieved results confirm the stability and precision of TSA in identifying the PEMFC's unknown parameters compared to TGA, HHO and other recent algorithms.

Original language	English
Title of host publication	2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665408738
DOIs	https://doi.org/10.1109/CHILECON54041.2021.9702937
State	Published - 2021
Externally published	Yes
Event	2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021 - Virtual, Online, Chile Duration: 6 Dec 2021 → 9 Dec 2021

Publication series

Name	2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021

Conference

Conference	2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021
Country/Territory	Chile
City	Virtual, Online
Period	6/12/21 → 9/12/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Optimization
Polarization curves
Proton exchange membrane
Statistical measurements
fuel cell Parameter estimation

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems
Information Systems and Management
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/CHILECON54041.2021.9702937

Cite this

Menesy, A. S., Sultan, H. M., Hassan, M. H., Elsayed, S. K., & Kamel, S. (2021). Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell. In 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021 (2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CHILECON54041.2021.9702937

Menesy, Ahmed S. ; Sultan, Hamdy M. ; Hassan, Mohamed H. et al. / Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell. 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021).

@inproceedings{541bc89f55f846cab21fed934f74d86d,

title = "Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell",

abstract = "Nowadays, Fuel Cells are considered a viable alternative to the traditional sources of energy. Proton Exchange Membrane Fuel Cell (PEMFC) stack is the most common and famous kind between various kinds of fuel cell stacks. The PEMFC mathematical model is a very vital problem to understand the main performance and electrochemical features of the fuel cell. In this research paper, a new optimization algorithm called Tunicate Swarm Algorithm (TSA) is used to extract the unknown parameters of PEMFC mathematical model. Three different types of PEMFCs stacks, namely, 250W, BCS 500W and Temasek 1kW are used to validate the viability and accurateness of the TAS in solving this optimization problem. Furthermore, statistical measures based on various metrics has been performed and calculated to prove the reliability of TSA in dealing with this PEMFC's problem. The simulation results of TSA are compared with Tree growth Algorithm (TGA), Harris Hawks Optimizer (HHO) and other recent metaheuristic optimization algorithms. The optimized unknown parameters of PEMFC stacks are used to study the performance of the PEMFC in case of different temperature and pressures. The achieved results confirm the stability and precision of TSA in identifying the PEMFC's unknown parameters compared to TGA, HHO and other recent algorithms.",

keywords = "Optimization, Polarization curves, Proton exchange membrane, Statistical measurements, fuel cell Parameter estimation",

author = "Menesy, \{Ahmed S.\} and Sultan, \{Hamdy M.\} and Hassan, \{Mohamed H.\} and Elsayed, \{Salah K.\} and Salah Kamel",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021 ; Conference date: 06-12-2021 Through 09-12-2021",

year = "2021",

doi = "10.1109/CHILECON54041.2021.9702937",

language = "English",

series = "2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021",

address = "United States",

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Menesy, AS, Sultan, HM, Hassan, MH, Elsayed, SK & Kamel, S 2021, Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell. in 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021. 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021, Virtual, Online, Chile, 6/12/21. https://doi.org/10.1109/CHILECON54041.2021.9702937

Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell. / Menesy, Ahmed S.; Sultan, Hamdy M.; Hassan, Mohamed H. et al.
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021).

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

TY - GEN

T1 - Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell

AU - Menesy, Ahmed S.

AU - Sultan, Hamdy M.

AU - Hassan, Mohamed H.

AU - Elsayed, Salah K.

AU - Kamel, Salah

PY - 2021

Y1 - 2021

N2 - Nowadays, Fuel Cells are considered a viable alternative to the traditional sources of energy. Proton Exchange Membrane Fuel Cell (PEMFC) stack is the most common and famous kind between various kinds of fuel cell stacks. The PEMFC mathematical model is a very vital problem to understand the main performance and electrochemical features of the fuel cell. In this research paper, a new optimization algorithm called Tunicate Swarm Algorithm (TSA) is used to extract the unknown parameters of PEMFC mathematical model. Three different types of PEMFCs stacks, namely, 250W, BCS 500W and Temasek 1kW are used to validate the viability and accurateness of the TAS in solving this optimization problem. Furthermore, statistical measures based on various metrics has been performed and calculated to prove the reliability of TSA in dealing with this PEMFC's problem. The simulation results of TSA are compared with Tree growth Algorithm (TGA), Harris Hawks Optimizer (HHO) and other recent metaheuristic optimization algorithms. The optimized unknown parameters of PEMFC stacks are used to study the performance of the PEMFC in case of different temperature and pressures. The achieved results confirm the stability and precision of TSA in identifying the PEMFC's unknown parameters compared to TGA, HHO and other recent algorithms.

AB - Nowadays, Fuel Cells are considered a viable alternative to the traditional sources of energy. Proton Exchange Membrane Fuel Cell (PEMFC) stack is the most common and famous kind between various kinds of fuel cell stacks. The PEMFC mathematical model is a very vital problem to understand the main performance and electrochemical features of the fuel cell. In this research paper, a new optimization algorithm called Tunicate Swarm Algorithm (TSA) is used to extract the unknown parameters of PEMFC mathematical model. Three different types of PEMFCs stacks, namely, 250W, BCS 500W and Temasek 1kW are used to validate the viability and accurateness of the TAS in solving this optimization problem. Furthermore, statistical measures based on various metrics has been performed and calculated to prove the reliability of TSA in dealing with this PEMFC's problem. The simulation results of TSA are compared with Tree growth Algorithm (TGA), Harris Hawks Optimizer (HHO) and other recent metaheuristic optimization algorithms. The optimized unknown parameters of PEMFC stacks are used to study the performance of the PEMFC in case of different temperature and pressures. The achieved results confirm the stability and precision of TSA in identifying the PEMFC's unknown parameters compared to TGA, HHO and other recent algorithms.

KW - Optimization

KW - Polarization curves

KW - Proton exchange membrane

KW - Statistical measurements

KW - fuel cell Parameter estimation

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U2 - 10.1109/CHILECON54041.2021.9702937

DO - 10.1109/CHILECON54041.2021.9702937

M3 - Conference contribution

AN - SCOPUS:85126960900

T3 - 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021

BT - 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021

Y2 - 6 December 2021 through 9 December 2021

ER -

Menesy AS, Sultan HM, Hassan MH, Elsayed SK, Kamel S. Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell. In 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021). doi: 10.1109/CHILECON54041.2021.9702937

Calculating Optimal Parameters of Proton Exchange Membrane Fuel Cell

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this