Pem Fuel Cells Performance

Simulation and Optimization by AI
Erscheinungsjahr 2025
ISBN: 978-0-443-40356-9
Verlag: Elsevier Science

Buch, Englisch, 572 Seiten, Format (B × H): 152 mm x 230 mm, Gewicht: 953 g

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 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.

Autoren/Hrsg.

Shams, Mehrzad

Ghasabehi, Mehrdad

Fachgebiete

• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieumwandlung, Energiespeicherung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Naturwissenschaften Chemie Physikalische Chemie Elektrochemie, Magnetochemie

Inhaltsverzeichnis

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

Über Autor(innen)

Ghasabehi, Mehrdad
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.

Shams, Mehrzad
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.