PEM Fuel Cells Performance
Simulation and Optimization by AI
- 1st Edition - November 1, 2025
- Imprint: Elsevier
- Authors: Mehrzad Shams, Mehrdad Ghasabehi
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 0 3 5 6 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 0 3 5 7 - 6
PEM Fuel Cell Performance: Simulation and Optimization by AI introduces innovative methods to enhance the efficiency of PEM fuel cells through computational techniques such as mul… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quotePEM Fuel Cell Performance: Simulation and Optimization by AI introduces innovative methods to enhance the efficiency of PEM fuel cells through computational techniques such as multi-objective optimization, computational fluid dynamics, artificial intelligence, and exergy analysis. This book offers practical solutions, illustrated with examples, case studies, and numerical simulations, aimed at improving the design and optimization of PEM fuel cells and their components. Readers will explore the challenges and potentials of PEM fuel cells across various industries, including transport, power generation, and hydrogen production. The book thoroughly discusses the design, development, testing, and operation of PEM fuel cell systems and components.
It also provides foundational knowledge for students, practical examples for researchers, and comprehensive guidance for engineers and practitioners, focusing on aspects like electrodes, gas diffusion layers, flow fields, thermal management, and operating conditions.
It also provides foundational knowledge for students, practical examples for researchers, and comprehensive guidance for engineers and practitioners, focusing on aspects like electrodes, gas diffusion layers, flow fields, thermal management, and operating conditions.
- Explains how to improve PEM fuel cell performance, from the fundamental principles to advanced modeling and optimization techniques
- Introduces simulation approaches, optimization techniques, and data-driven surrogate models based on AI algorithms
- Provides examples, case studies, and numerical simulations that illustrate the solutions to specific problems and the applications of novel techniques
- Explores optimization strategies specifically related to hybrid energy systems, discusses trade-offs, and shares practical examples
Students, researchers, and academics working on PEM fuel cell technology
1. Foundations of Proton Exchange Membrane Fuel Cells: Theory and Practical Applications
2. Design Parameters and Performance Metrics: Components, Operating Conditions, and Lifetime Considerations
3. Modelling: Modelling Methods and Techniques
4. Predictive Insights: Surrogate Models, Hybrid Modelling and AI Forecasting for Fuel Cell Performance
5. Optimization and Performance: Optimization Techniques and Application in the Design and Modelling
6. Flow Field: AI and Optimization Applications in Design and Modelling
7. Porous media: Optimum Design for Enhanced Fuel Cell Performance
8. Operating conditions: Optimum Synergic Effects
9. Tow-Phase Flow: Theory, Modelling, and Optimization
10. Thermal Management: Theory, Modelling, and Optimization
2. Design Parameters and Performance Metrics: Components, Operating Conditions, and Lifetime Considerations
3. Modelling: Modelling Methods and Techniques
4. Predictive Insights: Surrogate Models, Hybrid Modelling and AI Forecasting for Fuel Cell Performance
5. Optimization and Performance: Optimization Techniques and Application in the Design and Modelling
6. Flow Field: AI and Optimization Applications in Design and Modelling
7. Porous media: Optimum Design for Enhanced Fuel Cell Performance
8. Operating conditions: Optimum Synergic Effects
9. Tow-Phase Flow: Theory, Modelling, and Optimization
10. Thermal Management: Theory, Modelling, and Optimization
- Edition: 1
- Published: November 1, 2025
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443403569
- eBook ISBN: 9780443403576
MS
Mehrzad Shams
Mehrzad Shams is recognized for his academic and research contributions in energy conversion and interdisciplinary fields. He earned a Master’s degree in Energy Conversion from Sharif University of Technology in 1994 and a dual PhD in Energy Conversion from Clarkson University (USA) and Amirkabir University of Technology in 2001. His career has been marked by more than 10 industrial projects and a decade of consultancy experience, with expertise spanning fuel cells, renewable energy, and multiphase flows. As a professor at K.N. Toosi University of technology since 2002, he has been honored three times as the institution’s best researcher and once as its best teacher. He has also published over 140 peer-reviewed papers in numerous areas.
Affiliations and expertise
Associate Professor, K.N. Toosi University of Technology, Tehran, IranMG
Mehrdad Ghasabehi
Mehrdad Ghasabehi is a researcher at the Multiphase Flow Lab, Faculty of Mechanical Engineering, K.N. Toosi University of Technology in Tehran, Iran. He has a master’s degree in mechanical engineering from the same university, where he worked with Professor Mehrzad Shams on numerical and experimental studies of proton exchange membrane fuel cells (PEMFC). He has published several papers in international journals and conferences, mainly on topics related to PEMFC performance, optimization, and water management.
Affiliations and expertise
Researcher, K.N. Toosi University of Technology, Tehran, Iran