Pem Fuel Cells Performance

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.

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.