Divided across three sections, Assessment and Simulation Tools for Sustainable Energy Systems develops the reader’s ability to select suitable tools to support decision making and implementation of sustainable energy projects. The first is dedicated to the analysis of theoretical foundations and applications of multi-criteria decision making. This is followed by chapters concentrating on the theory and practice of fuzzy inference, neural nets and algorithms genetics. Finally, simulation methods such as Monte Carlo analysis, mathematical programming and others are detailed.
This comprehensive illustration of these tools and their application makes Assessment and Simulation Tools for Sustainable Energy Systems a key guide for researchers, scientists, managers, politicians and industry professionals developing the field of sustainable energy systems. It may also prompt further advancements in soft computing and simulation issues for students and researchers.
Fausto Cavallaro holds an M.Sc in Environmental Management and a PhD in Technology and Economics of Processes for Safeguarding the Environment. He is associate professor of “Energy and Environmental Resources” and “Environmental Management Systems” at the University of Molise (Italy). His main fields of research are the following: renewable energy sources; technology assessment; modelling decision support system and fuzzy multicriteria analysis for renewable and conventional energy systems; life cycle assessment (LCA) and environmental management systems (EMS).