Optimization And Decision Making In The Renewable Energy Industry

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Optimization and Decision-Making in the Renewable Energy Industry

Author : Balo, Figen,Topal, Ay?e,Demir, Ezgi,Uluta?, Alptekin
Publisher : IGI Global
Page : 304 pages
File Size : 49,6 Mb
Release : 2022-03-11
Category : Business & Economics
ISBN : 9781668424742

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Optimization and Decision-Making in the Renewable Energy Industry by Balo, Figen,Topal, Ay?e,Demir, Ezgi,Uluta?, Alptekin Pdf

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.

Multi-Criteria Decision-Making for Renewable Energy

Author : Mohamed Abdel-Basset,Mohamed Elhoseny,Abduallah Gamal,Md Alamgir Hossain
Publisher : Elsevier
Page : 255 pages
File Size : 48,9 Mb
Release : 2023-10-31
Category : Business & Economics
ISBN : 9780443133893

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Multi-Criteria Decision-Making for Renewable Energy by Mohamed Abdel-Basset,Mohamed Elhoseny,Abduallah Gamal,Md Alamgir Hossain Pdf

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

Multi Criteria Analysis in the Renewable Energy Industry

Author : José Ramón San Cristóbal Mateo
Publisher : Springer Science & Business Media
Page : 108 pages
File Size : 47,6 Mb
Release : 2012-01-03
Category : Technology & Engineering
ISBN : 9781447123460

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Multi Criteria Analysis in the Renewable Energy Industry by José Ramón San Cristóbal Mateo Pdf

Decision makers in the Renewable Energy sector face an increasingly complex social, economic, technological, and environmental scenario in their decision process. Different groups of decision-makers become involved in the process, each group bringing along different criteria therefore, policy formulation for fossil fuel substitution by Renewable Energies must be addressed in a multi-criteria context. Multi Criteria Analysis in the Renewable Energy Industry is a direct response to the increasing interest in the Renewable Energy industry which can be seen as an important remedy to many environmental problems that the world faces today. The multiplicity of criteria and the increasingly complex social, economic, technological, and environmental scenario makes multi-criteria analysis a valuable tool in the decision-making process for fossil fuel substitution. The detailed chapters explore the use of the Multi-criteria decision-making methods and how they provide valuable assistance in reaching equitable and acceptable solutions in the selection of renewable energy projects. Common multi-criteria decision-making methods including Analytical Hierarchy Process, PROMETHEE, ELECTRE, TOPSIS and VIKOR are explored in detail with an application case of each method included at the end of each chapter. As such, Multi Criteria Analysis in the Renewable Energy Industry is an ideal resource for those groups of individuals, institutions and administration such as local authorities, academic institutions, environmental groups, and governments that, through their priorities and evaluation systems, have interests at stake and directly or indirectly influence the decision-making process.

Optimization in Renewable Energy Systems

Author : Ozan Erdinc
Publisher : Butterworth-Heinemann
Page : 326 pages
File Size : 47,9 Mb
Release : 2017-02-25
Category : Technology & Engineering
ISBN : 9780081012093

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Optimization in Renewable Energy Systems by Ozan Erdinc Pdf

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

Virtual Power Plants and Electricity Markets

Author : Luis Baringo,Morteza Rahimiyan
Publisher : Springer Nature
Page : 381 pages
File Size : 40,7 Mb
Release : 2020-09-03
Category : Technology & Engineering
ISBN : 9783030476021

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Virtual Power Plants and Electricity Markets by Luis Baringo,Morteza Rahimiyan Pdf

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

Author : Gülgün Kayakutlu,M. Özgür Kayalica
Publisher : Springer Nature
Page : 307 pages
File Size : 47,6 Mb
Release : 2023-10-16
Category : Business & Economics
ISBN : 9783031383878

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Decision Making Using AI in Energy and Sustainability by Gülgün Kayakutlu,M. Özgür Kayalica Pdf

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.

Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems

Author : Farkhondeh Jabari,Behnam Mohammadi-Ivatloo,Mousa Mohammadpourfard
Publisher : Springer Nature
Page : 357 pages
File Size : 51,6 Mb
Release : 2020-07-09
Category : Technology & Engineering
ISBN : 9783030424206

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Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems by Farkhondeh Jabari,Behnam Mohammadi-Ivatloo,Mousa Mohammadpourfard Pdf

This book presents design principles, performance assessment and robust optimization of different poly-generation systems using renewable energy sources and storage technologies. Uncertainties associated with demands or the intermittent nature of renewables are considered in decision making processes. Economic and environmental benefits of these systems in comparison with traditional fossil fuels based ones are also provided. Case studies, numerical results, discussions, and concluding remarks have been presented for each proposed system/strategy. This book is a useful tool for students, researchers, and engineers trying to design and evaluate different zero-energy and zero-emission stand-alone grids.

Renewable Energy Policy and Politics

Author : Karl Mallon
Publisher : Routledge
Page : 284 pages
File Size : 54,7 Mb
Release : 2012-06-25
Category : Technology & Engineering
ISBN : 9781136558603

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Renewable Energy Policy and Politics by Karl Mallon Pdf

Understanding why renewable energy policies succeed and fail is essential for a range of stakeholders in the energy and environmental sectors. Clear information on why and how to secure successful renewable energy markets is much needed. Renewable Energy Policy and Politics meets that need, bringing together the experience of world leaders in this field. The book addresses the politics of renewable energy, the key players required to drive energy reform and those likely to resist change. The interplay between government, industry and society is discussed and explained with a balanced hand, offering a rare insight into political campaigning on energy. International case studies are included, complemented by a step-by-step breakdown of the elements required to achieve legislation. This book sets out the rules of the game, the stakes and the strategies for success. It will be an invaluable tool for policy makers, energy consultants, non-governmental organizations and other professionals working in the fields of energy policy, climate change and environmental policy. Students and researchers keen to enhance their knowledge of renewable energy markets and policy development will also find this essential reading.

Mathematical Optimization for Efficient and Robust Energy Networks

Author : Natalia Selini Hadjidimitriou,Antonio Frangioni,Thorsten Koch,Andrea Lodi
Publisher : Springer Nature
Page : 131 pages
File Size : 44,5 Mb
Release : 2021-03-19
Category : Technology & Engineering
ISBN : 9783030574420

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Mathematical Optimization for Efficient and Robust Energy Networks by Natalia Selini Hadjidimitriou,Antonio Frangioni,Thorsten Koch,Andrea Lodi Pdf

This book presents a collection of energy production and distribution problems identified by the members of the COST Action TD1207 "Mathematical Optimization in the Decision Support Systems for Efficient and Robust Energy Networks". The aim of the COST Action was to coordinate the efforts of the experts in different fields, from academia and industry, in developing innovative tools for quantitative decision making, and apply them to the efficient and robust design and management of energy networks. The work covers three main goals:• to be a nimble while comprehensive resource of several real life business problems with a categorized set of pointers to many relevant prescriptive problems for energy systems;• to offer a balanced mix of scientific and industrial views;• to evolve over time in a flexible and dynamic way giving, from time to time, a more scientific or industrial - or even political in a broad sense - weighed perspective.It is addressed to researchers and professionals working in the field.

Advanced Methods for Processing and Visualizing the Renewable Energy

Author : Samsul Ariffin Abdul Karim,Nordin Saad,Ramani Kannan
Publisher : Springer Nature
Page : 157 pages
File Size : 52,9 Mb
Release : 2020-10-21
Category : Technology & Engineering
ISBN : 9789811586064

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Advanced Methods for Processing and Visualizing the Renewable Energy by Samsul Ariffin Abdul Karim,Nordin Saad,Ramani Kannan Pdf

This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.

Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms

Author : Venkata Rao Ravipudi,Hameer Singh Keesari
Publisher : Springer Nature
Page : 395 pages
File Size : 52,6 Mb
Release : 2022-03-01
Category : Technology & Engineering
ISBN : 9783030955892

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Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms by Venkata Rao Ravipudi,Hameer Singh Keesari Pdf

This book describes applications of Jaya and Rao algorithms on real case studies concerning different renewable energy sources. In the last few decades, researchers have focused on renewable energy resources like solar energy, bio-energy, wave energy, ocean thermal energy, tidal energy, geothermal energy, and wind energy. This has resulted in the development of new techniques and tools that could harvest energy from renewable energy sources. Many researchers and scientists have focused on developing and optimizing the energy systems to extract and utilize renewable energy more efficiently. In this book, recently developed Jaya and Rao (Rao-1, Rao-2, and Rao-3) algorithms are introduced for single- and multi-objective optimization of selected renewable energy systems. The results of applications of the different versions of Jaya and Rao algorithms are compared with the other optimization techniques like GA, NSGA-II, PSO, MOPSO, ABC, etc., and the performance of the Jaya and Rao algorithms is highlighted compared to other optimization algorithms in the case of renewable energy systems. The book also includes the validation of different versions of the Jaya and Rao algorithms through the application to complex single- and multi-objective unconstrained benchmark functions. The algorithms and computer codes of different version of Jaya and Rao algorithms are included in the book that will be very much useful to readers in industry and academic research.

Energy Systems Evaluation (Volume 2)

Author : Jingzheng Ren
Publisher : Springer Nature
Page : 283 pages
File Size : 44,6 Mb
Release : 2021-05-24
Category : Technology & Engineering
ISBN : 9783030673765

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Energy Systems Evaluation (Volume 2) by Jingzheng Ren Pdf

This book presents various multi-criteria analysis methods for sustainability-oriented analysis and decision-making for energy systems, under various different conditions and scenarios. It presents methodologies to answer the questions relating to which of the options are the most sustainable among the alternatives, and how multi-criteria decision analysis methods can be used to select the most sustainable energy systems. A systematic innovative methodological framework is presented, which enables the most appropriate energy system to be selected under different conditions including: Scientific decision support tools for sustainable energy system selection; Fuzzy, grey, and rough sets based multi-criteria decision analysis; Decision-making models under uncertainties; and The combination of life cycle thinking and multi-criteria decision analysis This book is of interest to researchers, engineers, decision makers, and postgraduate students within the field of energy systems, sustainability, and multi-criteria decision analysis.

Sustainable Local Energy Planning and Decision Making: Emerging Research and Opportunities

Author : Marinakis, Vangelis
Publisher : IGI Global
Page : 171 pages
File Size : 46,5 Mb
Release : 2017-03-31
Category : Business & Economics
ISBN : 9781522522874

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Sustainable Local Energy Planning and Decision Making: Emerging Research and Opportunities by Marinakis, Vangelis Pdf

It is imperative to promote and maintain sustainability in all areas of the world. By developing effective energy usage frameworks, regional communities can better achieve this goal. Sustainable Local Energy Planning and Decision Making: Emerging Research and Opportunities is an authoritative reference source featuring the latest scholarly research on an operational framework for decision support for local and regional authorities to aid in sustainable energy planning. Including extensive coverage on a broad range of topics and perspectives such as emission trends, energy balance, and climate change, this book is ideally designed for academicians, researchers, and students seeking current research on the development of regional sustainable energy plans.