Fuel Cell Modeling and Optimization

Lei Xing; Xueguan Song; Prodip K. Das

doi:10.1016/B978-0-323-99485-9.00018-6

Fuel Cell Modeling and Optimization

Lei Xing, Xueguan Song, Prodip K. Das

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract / Description of output

As a highly efficient and cost-saving approach, modeling is significantly important in the development of proton exchange membrane fuel cells (PEMFCs). With the rapid development of computer technologies in the past three decades, PEMFC models have been upgraded from simple one-dimension (1D) single-cell models to sophisticated three-dimension (3D) multi-physics and multi-phase fuel-cell stack models, leading to the wider application of modeling in the diagnosis, design, optimization, and development of novel PEMFCs. This chapter provides the chronological development of PEMFC modeling approaches with a focus on those in modeling the catalyst layer and water formation and transport inside the PEMFCs. Numerical optimizations of PEMFCs with respect to electrodes, flow fields, fuel cell stacks, and operating conditions are summarised. The multi-variable optimization and data-driven modeling are also introduced in this chapter

Original language	English
Title of host publication	Fuel Cells for Transportation
Subtitle of host publication	Fundamental Principles and Applications
Editors	Prodip Das, Kui Jiao, Yun Wang, Frano Barbir, Xianguo Li
Publisher	Elsevier
Chapter	3
Pages	73-101
ISBN (Print)	9780323994859
DOIs	https://doi.org/10.1016/B978-0-323-99485-9.00018-6
Publication status	E-pub ahead of print - 29 May 2023

Keywords / Materials (for Non-textual outputs)

Modeling
flow field design
graded design
optimization
surrogate model

Access to Document

10.1016/B978-0-323-99485-9.00018-6

Chapter-03 (accepted version)Accepted author manuscript, 2.26 MB

https://www.elsevier.com/books/fuel-cells-for-transportation/das/978-0-323-99485-9

4 Chapter (peer-reviewed)
1 Book

Fuel Cells for Transportation: Fundamental Principles and Applications
Das, P. K. (ed.), Jiao, K. (ed.), Wang, Y. (ed.), Barbir, F. (ed.) & Li, X. (ed.), 1 Jun 2023, Elsevier. 480 p.
Research output: Book/Report › Book
Effective Transport Properties for Fuel Cells: Modeling and Experimental Characterization
García-Salaberri, P. A. & Das, P. K., 29 May 2023, (E-pub ahead of print) Fuel Cells for Transportation: Fundamental Principles and Applications. Das, P., Jiao, K., Wang, Y., Barbir, F. & Li, X. (eds.). Elsevier, p. 199-224
Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Open Access
File
Fuel Cell Fundamentals
Xing, L., Xuan, J. & Das, P. K., 29 May 2023, (E-pub ahead of print) Fuel Cells for Transportation: Fundamental Principles and Applications. Das, P., Jiao, K., Wang, Y., Barbir, F. & Li, X. (eds.). Elsevier, p. 29-72
Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Open Access
File

Cite this

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title = "Fuel Cell Modeling and Optimization",

abstract = "As a highly efficient and cost-saving approach, modeling is significantly important in the development of proton exchange membrane fuel cells (PEMFCs). With the rapid development of computer technologies in the past three decades, PEMFC models have been upgraded from simple one-dimension (1D) single-cell models to sophisticated three-dimension (3D) multi-physics and multi-phase fuel-cell stack models, leading to the wider application of modeling in the diagnosis, design, optimization, and development of novel PEMFCs. This chapter provides the chronological development of PEMFC modeling approaches with a focus on those in modeling the catalyst layer and water formation and transport inside the PEMFCs. Numerical optimizations of PEMFCs with respect to electrodes, flow fields, fuel cell stacks, and operating conditions are summarised. The multi-variable optimization and data-driven modeling are also introduced in this chapter",

keywords = "Modeling, flow field design, graded design, optimization, surrogate model",

author = "Lei Xing and Xueguan Song and Das, {Prodip K.}",

year = "2023",

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doi = "10.1016/B978-0-323-99485-9.00018-6",

language = "English",

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editor = "Prodip Das and Kui Jiao and Yun Wang and Frano Barbir and Xianguo Li",

booktitle = "Fuel Cells for Transportation",

publisher = "Elsevier",

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TY - CHAP

T1 - Fuel Cell Modeling and Optimization

AU - Xing, Lei

AU - Song, Xueguan

AU - Das, Prodip K.

PY - 2023/5/29

Y1 - 2023/5/29

N2 - As a highly efficient and cost-saving approach, modeling is significantly important in the development of proton exchange membrane fuel cells (PEMFCs). With the rapid development of computer technologies in the past three decades, PEMFC models have been upgraded from simple one-dimension (1D) single-cell models to sophisticated three-dimension (3D) multi-physics and multi-phase fuel-cell stack models, leading to the wider application of modeling in the diagnosis, design, optimization, and development of novel PEMFCs. This chapter provides the chronological development of PEMFC modeling approaches with a focus on those in modeling the catalyst layer and water formation and transport inside the PEMFCs. Numerical optimizations of PEMFCs with respect to electrodes, flow fields, fuel cell stacks, and operating conditions are summarised. The multi-variable optimization and data-driven modeling are also introduced in this chapter

AB - As a highly efficient and cost-saving approach, modeling is significantly important in the development of proton exchange membrane fuel cells (PEMFCs). With the rapid development of computer technologies in the past three decades, PEMFC models have been upgraded from simple one-dimension (1D) single-cell models to sophisticated three-dimension (3D) multi-physics and multi-phase fuel-cell stack models, leading to the wider application of modeling in the diagnosis, design, optimization, and development of novel PEMFCs. This chapter provides the chronological development of PEMFC modeling approaches with a focus on those in modeling the catalyst layer and water formation and transport inside the PEMFCs. Numerical optimizations of PEMFCs with respect to electrodes, flow fields, fuel cell stacks, and operating conditions are summarised. The multi-variable optimization and data-driven modeling are also introduced in this chapter

KW - Modeling

KW - flow field design

KW - graded design

KW - optimization

KW - surrogate model

U2 - 10.1016/B978-0-323-99485-9.00018-6

DO - 10.1016/B978-0-323-99485-9.00018-6

M3 - Chapter (peer-reviewed)

SN - 9780323994859

SP - 73

EP - 101

BT - Fuel Cells for Transportation

A2 - Das, Prodip

A2 - Jiao, Kui

A2 - Wang, Yun

A2 - Barbir, Frano

A2 - Li, Xianguo

PB - Elsevier

ER -

Fuel Cell Modeling and Optimization

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Research output

Fuel Cells for Transportation: Fundamental Principles and Applications

Effective Transport Properties for Fuel Cells: Modeling and Experimental Characterization

Fuel Cell Fundamentals

Cite this