PEM Fuel Cells Performance

PEM Fuel Cells Performance: Simulation and Optimization by AI, 1st Edition presents a comprehensive investigation into computational techniques aimed at enhancing proton exchange membrane fuel cell efficiency. The text introduces numerical modeling methodologies by combining computational fluid dynamics, exergy analysis, multi-objective optimization strategies, and artificial intelligence into a structured analytical framework.

The volume explores broad industrial applications alongside operational challenges across the transport, power generation, and hydrogen production sectors. It evaluates how quantitative modeling and optimization procedures address real-world system constraints, operating requirements, and performance requirements within modern clean energy generation infrastructures.

A central feature of the text lies in its coverage of artificial intelligence algorithms configured for data-driven surrogate models, hybrid modeling methods, and performance forecasting. This material provides valuable reference support intended for students, academic researchers, university faculty, practicing engineers, and industry professionals in the fuel cell field.