H₂ Based Energy Systems Optimisation under Fuzzy Constraints and Goals
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Beschreibung
This book provides a clear, step-by-step guide to optimising hydrogen-based energy systems using the powerful Bellman-Zadeh approach. It directly addresses one of the greatest challenges in sustainable energy design: how to balance competing goals of high performance, low environmental impact, and economic viability. Readers will learn to navigate these complex trade-offs through a practical framework that combines fuzzy logic with dynamic programming. The book moves seamlessly from theoretical foundations to real-world application, featuring detailed mathematical formulations for key objectives like exergy efficiency, life-cycle emissions, and total system cost. What sets this work apart is its hands-on focus. It includes extensive MATLAB® code examples that readers can directly adapt for their own projects, from basic optimisation algorithms to advanced genetic algorithms. Dozens of illustrations, including schematic diagrams, three-dimensional performance surfaces, and fuzzy membership function plots, clarify complex concepts at every stage. A comprehensive case study on a complete hydrogen power system (electrolyser, storage, fuel cell, and power conditioning) demonstrates the entire optimisation process, from problem formulation to the final defuzzified solution. Whether you are a researcher, advanced student, or practicing engineer, this book equips you with the quantitative tools to make evidence-based decisions and design energy systems that are not only technologically sound but also environmentally responsible and economically feasible.
Optimises full hydrogen system architecture - integrating electrolyser, storage, fuel cell, and conditioning Provides adaptable MATLAB optimisation tools - enabling direct application to real hydrogen energy projects Balances efficiency, cost, and environmental impact - through fuzzy–dynamic optimisation of hydrogen power systems
Autor*in
Wendell de Queiróz Lamas
Themen in »H₂ Based Energy Systems Optimisation under Fuzzy Constraints and Goals«
Energy system optimisation Exergy efficiency Fuzzy decision-making Fuzzy membership functions Hydrogen energy systems Life-cycle cost analysis Multi-objective optimisation Sustainable energy design Thermodynamic system optimisation Bellman-Zadeh approach