Optimization and Decision-Making in the Renewable Energy Industry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization and Decision-Making in the Renewable Energy Industry write by Balo, Figen. This book was released on 2022-03-11. Optimization and Decision-Making in the Renewable Energy Industry available in PDF, EPUB and Kindle. 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.
Optimization in Renewable Energy Systems
Optimization in Renewable Energy Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization in Renewable Energy Systems write by Ozan Erdinc. This book was released on 2017-02-25. Optimization in Renewable Energy Systems available in PDF, EPUB and Kindle. Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises. This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students. Provides chapters written by experts in the field Goes beyond forecasting to apply optimization techniques to a wide variety of renewable energy system issues, from large scale to relatively small scale systems Provides accompanying computer code for related chapters
Multi-Criteria Decision-Making for Renewable Energy
Multi-Criteria Decision-Making for Renewable Energy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multi-Criteria Decision-Making for Renewable Energy write by Mohamed Abdel-Basset. This book was released on 2023-10-31. Multi-Criteria Decision-Making for Renewable Energy available in PDF, EPUB and Kindle. Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges brings together the latest fuzzy and soft computing methods, models, and algorithms as applied to the field of renewable energy and supported by specific application examples and case studies. The book begins by approaching renewable energy sources, challenges and factors that affect their development, as well as green renewable energy sites and the utilization of fuzzy multi-criteria decision-making (MCDM) techniques in these broad contexts, as well as utilization in addressing the various environmental, economic, and social barriers to ensuring the sustainability of energy resources. Detailed chapters focus on the application of multi-criteria decision-making methods for planning, modeling and prioritization in specific areas of renewable energy, including solar energy, wind farms, solar-powered hydrogen production plants, biofuel production, energy storage, hydropower, and marine energy. Finally, future opportunities and research directions are explored. Provides a set of multi-criteria techniques to address challenges across renewable energy Reviews and analyzes the current state-of-the-art and identifies future opportunities and directions Offers clear examples, case studies and practical applications of the described concepts
Virtual Power Plants and Electricity Markets
Virtual Power Plants and Electricity Markets - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Virtual Power Plants and Electricity Markets write by Luis Baringo. This book was released on 2020-09-03. Virtual Power Plants and Electricity Markets available in PDF, EPUB and Kindle. This textbook provides a detailed analysis of operation and planning problems faced by virtual power plants participating in different electricity markets. The chapters address in-depth, topics such as: optimization, market power, expansion, and modelling uncertainty in operation and planning problems of virtual power plants. The book provides an up-to-date description of decision-making tools to address challenging questions faced by virtual power plants such as: How can virtual power plants optimize their participation in electricity markets? How can a virtual power plant exercise market power? How can virtual power plants be optimally expanded? How can uncertainty be efficiently modelled in the operation and planning problems of virtual power plants? The book is written in a tutorial style and modular format, and includes many illustrative examples to facilitate comprehension. It is intended for a diverse audience including advanced undergraduate and graduate students in the fields of electric energy systems, operations research, and economics. Practitioners in the energy sector will also benefit from the concepts and techniques presented in this book. In particular, this book: Provides students with the GAMS codes to solve the examples in the book; Provides a basis for the formulation of decision-making problems under uncertainty; Contains a blend of theoretical concepts and practical applications that are developed as working algorithms.
Decision Making Using AI in Energy and Sustainability
Decision Making Using AI in Energy and Sustainability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Making Using AI in Energy and Sustainability write by Gülgün Kayakutlu. This book was released on 2023-10-16. Decision Making Using AI in Energy and Sustainability available in PDF, EPUB and Kindle. Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.
