This book provides a comprehensive guide on how geographic information systems (GIS) can be used to optimize solar energy resources. A collection of the latest cutting-edge research is presented which seeks to address the most pressing issues faced by policymakers regarding the planning and exploitation of solar energy. Scientifically robust models are developed to guide researchers on identifying optimum sites for the implementation of solar energy projects. Each methodology presented is accompanied by global case studies, ranging from the small islands of Hawaii and Mauritius to larger countries such as India and Spain. This book is primarily targeted to researchers aspiring to unveil and optimize the solar resource potential of their countries for the benefit of a wider audience, ranging from architects, agro-industrialists, climatologists, and energy experts.

Drawing on the authors' extensive research and project implementation around the globe, Solar Energy: Renewable Energy and the Environment covers solar energy resources, thermal and photovoltaic systems, and the economics involved in using solar energy. It provides background theory on solar energy as well as useful technical information for implem

Design and Performance Optimization of Renewable Energy Systems provides an integrated discussion of issues relating to renewable energy performance design and optimization using advanced thermodynamic analysis with modern methods to configure major renewable energy plant configurations (solar, geothermal, wind, hydro, PV). Vectors of performance enhancement reviewed include thermodynamics, heat transfer, exergoeconomics and neural network techniques. Source technologies studied range across geothermal power plants, hydroelectric power, solar power towers, linear concentrating PV, parabolic trough solar collectors, grid-tied hybrid solar PV/Fuel cell for freshwater production, and wind energy systems. Finally, nanofluids in renewable energy systems are reviewed and discussed from the heat transfer enhancement perspective. - Reviews the fundamentals of thermodynamics and heat transfer concepts to help engineers overcome design challenges for performance maximization - Explores advanced design and operating principles for solar, geothermal and wind energy systems with diagrams and examples - Combines detailed mathematical modeling with relevant computational analyses, focusing on novel techniques such as artificial neural network analyses - Demonstrates how to maximize overall system performance by achieving synergies in equipment and component efficiency

This book focuses on spatial planning – an important determinant of energy saving and renewable energy supply. Revealing the key driving forces for spatial development supporting the shift towards energy efficiency and renewable energy supplies, it shows the importance of integrated spatial and energy planning approaches for a timely and sustainable change of energy systems, thus supporting policies of climate protection. As operating within the context of renewable energy sources is becoming a major policy issue at the international, European and national level, spatial dimensions of renewable energy systems as well as challenges, barriers and opportunities in different spatial contexts become more important. This book analyses not only the fundamental system interrelations between resources, technologies and consumption patterns with respect to energy, but also the links to the spatial context, and provides guidelines for researchers as well as practitioners in this new, emerging field. It presents innovative analytical tools to solve real-world problems and discusses the most important fields of action in integrated spatial and energy planning including planning contents, planning visions and principles as well as planning process design and planning methodology.

With immense consumption of resources, increased global warming, and environmental pollution, the energy sector has inevitably embraced sustainability. Countries are releasing plans and programs to shift their fossil fuel-dependent energy sectors into clean energy sectors, and projections show that renewable energy will be a significant part of nations’ energy mixes in the near future. Optimization and decision-making techniques have been commonly used in the energy sector as problems encountered in this sector are complex and therefore need comprehensive techniques to solve them. With the uncertainty and high-cost issues of renewable resources, the complexity increases in the sector and requires optimization and decision-making techniques. Optimization and Decision-Making in the Renewable Energy Industry analyzes renewable energy sources using current mathematical methods and techniques and provides advanced knowledge on key opportunities and challenges. The book discusses current and trending mathematical methods, tests their validity and verification, and considers their practical application in the field. Covering topics such as urban sustainability and renewable energy systems, this reference work is ideal for practitioners, academicians, industry professionals, researchers, scholars, instructors, and students.

The tropical zones are dominated by developing countries, which mainly face problematic environmental issues. Different than four-season countries, tropical countries have a continuous summer-like season and therefore they are rich in clean energy sources like solar and biomass. Hence, the mitigations of environment and energy issues in the tropics would require specific understanding and different approach to solutions. This book offers an assortment of studies on scenarios of environment as well as energy demand and power generation technologies in the tropics. Many of the countries within the tropics are highly populated, and this results in various problems related to the environment and energy. The demand for energy in these countries keeps increasing but concurrently there are also environmental issues that require serious attention. As the global concern on the environment is alarming today, the choice of power generation should be of the cleanest possible resource. This various reports on research activities carried out in the tropics on the aspect of environment and energy presented in this book are highly beneficial for those who like to see an improvement in the tropics with regard to environment and energy systems.

This book presents a detailed description, analysis, comparison of the latest research and developments in photovoltaic energy. Discussing everything from semiconductors to system integration, and applying various advanced technologies to stand alone and electric utility interfaced in normal and abnormal operating conditions of PV systems, this book provides a thorough introduction to the topic. This book brings together research from around the world, covering the use of technologies such as embedded systems, the Internet of things and blockchain technologies for PV systems for different applications including controllers, solar trackers and cooling systems. The book is of interest to electronic and mechanical engineers, researchers and students in the field of photovoltaics.

This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green ICT, Smart Intelligence and Machine Learning! It is a Master Piece of what our community of academics and experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Modern Operational Research and Experience of the World-Leader Springer Nature! The 5th edition of International Conference on Intelligent Computing and Optimization took place at October 27–28, 2022, via Zoom. Objective was to celebrate “Creativity with Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the planet, to share knowledge, experience, innovation—a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of ICO’2022 is published by Springer Nature—Quality Label of wonderful.

Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with their fundamentals, modeling, analysis, design, realization and experimental results. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. - Presents some of the latest innovative approaches to renewable energy systems from the point-of-view of dynamic modeling, system analysis, optimization, control and circuit design - Focuses on advances related to optimization techniques for renewable energy and forecasting using machine learning methods - Includes new circuits and systems, helping researchers solve many nonlinear problems