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201597

Solid Oxide Fuel Cell Modeling Using Numerical Method and Neural Network.

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Computer Engineering and Systems

Abstract

Modeling Solid Oxide Fuel cell SOFC numerically and by Al-based technique is the main objective of this paper. Testing the reliability of a two dimensional numerical model of SOFC using COMSOL (FEMLAB 3.1) software against neural network model is another important issue that will be considered in this paper. In the proposed study, two layers feed forward neural network was examined for the purpose of modeling the Solid Oxide Fuel Cell (SOFC) system. The examined neural network model with one hidden layer of ten nodes was trained with the Levenberg-Marquardt back propagation algorithm. The presented feed forward neural network model is fitted very well with the experimental data and proved to outperform a numerical model. The various outcomes of this application indicate that numerical simulation of SOFC by using FEMLAB 3.1 needs minor modifications. A more general investigation into potential role of neural network in modeling SOFC is conducted in this research.

DOI

10.21608/bfemu.2021.201597

Authors

First Name

Mostafa

Last Name

El-Hosseini

MiddleName

-

Affiliation

Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Amira

Last Name

Haikal

MiddleName

Y.

Affiliation

Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Email

amirayh@gmail.com

City

Mansoura

Orcid

-

Volume

39

Article Issue

4

Related Issue

15538

Issue Date

2014-12-01

Receive Date

2014-10-10

Publish Date

2021-10-01

Page Start

1

Page End

8

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_201597.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=201597

Order

8

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023