Computational Tools for Energy Harvesting Applications

Computational Tools for Energy Harvesting Applications presents the latest applications of energy harvesting methods for renewable energy systems. The book provides readers with the computational tools and algorithms for energy harvesting, explaining the mathematical basis behind their development and application and analyzing the latest developments. Each chapter provides a review of the fundamentals and basic theory behind each energy harvester, the working principles, and the latest practical applications. The mathematical techniques and computational tools are provided for response analysis and optimization of diverse energy harvesters, including from fixed renewable energy systems - wind, solar, etc. - and portable devices such as PEM fuel cells. This is a valuable reference for students and researchers working in the field of renewable energy harvesting and its application, as well as electrical and mechanical engineers. Provides analytical tools and computational algorithms, including hybrid and machine learning algorithms, for designing energy harvestersExamines and critically compares energy harvesting systems, analyzes their design, and identifies methods for optimizationAnalyzes energy harvester types by their application and the computational tools and algorithms they use INDICE: 1. An Overview of computational algorithms and energy harvesting systems 2. Optimization and computational modeling of piezoelectric transducers 3. Parameter optimization techniques for proton exchange membrane fuel cell 4. Parametric modeling of electromagnetic energy harvester 5. Title: Engineering Applications of Swarm Intelligence 6. Applications of swarm Intelligence and machine learning algorithms in energy harvesting system 7. Role of mathematical modelling in Energy Harvesters 8. Study on solar energy systems during partial shading conditions 9. Prediction of global solar radiation using a single empirical model for diversified locations

• ISBN: 978-0-443-16060-8
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 340
• Fecha Publicación: 01/02/2025
• Nº Volúmenes: 1
• Idioma: Inglés