Elsevier PEM Fuel Cells Performance: Simulation and Optimization by AI

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. 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