Multi-Criteria Decision-Making for Renewable Energy
Methods, Applications, and Challenges
- 1st Edition - October 24, 2023
- Imprint: Elsevier
- Authors: Mohamed Abdel-Basset, Mohamed Elhoseny, Abduallah Gamal, Md Alamgir Hossain
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 3 7 8 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 3 8 9 - 3
Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges brings together the latest fuzzy and soft computing methods, models, and algorithm… Read more
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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
Researchers, scientists, and advanced students across renewable energy, intelligent systems, AI and machine learning, computer science, electrical engineering, and power systems, Engineers, R&D professionals, and other industry personnel with an interest in multi-criteria analysis and intelligent systems for renewable energy
1. Introduction and Objectives towards Green Transition through Optimized Renewable Energy Systems1.1. Renewable energy scenario1.2. Opportunities1.3. Solar power systems1.4. Wind energy1.5. Solar-powered hydrogen1.6. Biomass energy1.7. Energy storage technologies1.8. Hydropower1.9. Marine renewable energy1.10. Summary
2. An Eclectic Decision for Selecting the Optimum Green Energy Source for Sustainable Energy Planning by Considering Multi-Factors2.1. Introduction2.2. Preliminaries2.3. Materials and methods2.4. Application2.5. Results and discussion2.6. Future predictions2.7. Summary
3. An Analysis on Exploring and Identifying Barriers in the Propagation of Renewable Energy Technologies for Sustainable Development3.1. Introduction3.2. Materials and methods3.3. Results and analysis3.4. Discussion3.5. Future predictions3.6. Summary
4. Mathematical Modeling-based Decision-Making Algorithms for the Selection of Photovoltaic Solar Plant Site4.1. Introduction4.2. Materials and methods4.3. Preliminary experiments and results4.4. Results discussion and validation4.5. Future predictions4.6. Summary
5. Assessing the Sustainable Aspects of Location Selection for Offshore Wind Power Plant5.1. Introduction5.2. Floating wind farms5.3. Materials and methods5.4. Application of decision approach5.5. Discussion5.6. Future predictions5.7. Summary
6. Sustainable Hydrogen Production Technologies based on Consolidated MCDM Ranking Strategies for Better Environment6.1. Introduction6.2. Materials and methods6.3. Application of hybrid CRITIC-CODAS framework6.4. Discussion6.5. Future predictions6.6. Summary
7. Revealing Current Trends and Prospects in Bioenergy Production Technologies and Assessment Sustainability Performance7.1. Introduction7.2. Materials and methods7.3. Model application7.4. Discussion7.5. Future predictions7.6. Summary
8. Current and Future Development in Sustainable Energy Storage Technologies8.1. Introduction8.2. Materials and methods8.3. Case study8.4. Results and discussion8.5. Future predictions8.6. Summary
9. Optimization Techniques for Mitigating Difficulties in Potential Locations for Hydropower Projects9.1. Introduction9.2. Materials and methods9.3. Application9.4. Results and discussion9.5. Future predictions9.6. Summary
10. Selecting Marine Renewable Energy Plant Location for Energy Policy Making10.1. Introduction10.2. Materials and methods10.3. Methodology application10.4. Results and discussion10.5. Future predictions10.6. Summary
11. Renewable Energy Challenges, Recent Developments, and Future Research Directions11.1. Challenges and open issues11.2. Multi-criteria Decision Making (MCDM)11.3. Future research directions11.4. Summary
- Edition: 1
- Published: October 24, 2023
- Imprint: Elsevier
- Language: English
MA
Mohamed Abdel-Basset
Dr. Mohamed Abdel-Basset is Associate Professor and Head of the Department of Computer Science, within the Faculty of Computers and Informatics, at Zagazig University, Egypt. He received his B.Sc., M.Sc and Ph.D in operations research at the Faculty of Computers and Informatics, Zagazig University. Dr. Abdel-Basset’s research interests are in Optimization, Operations Research, Data Mining, Computational Intelligence, Applied Statistics, Decision Support Systems, Robust Optimization, Engineering Optimization, Multiobjective Optimization, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He is currently working on the application of multi-objective and robust meta-heuristic optimization techniques. Dr. Abdel-Basset is an Editor or Reviewer for several international journals and conferences, and has published more than 100 articles in international journals and conference proceedings.
Affiliations and expertise
Associate Professor, Faculty of Computers and Informatics, Zagazig University, EgyptME
Mohamed Elhoseny
Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems.
Affiliations and expertise
Associate Professor, University of Sharjah, UAEAG
Abduallah Gamal
Dr. Abduallah Gamal is a Researcher based in the Faculty of Computers and Informatics at Zagazig University, Egypt. His areas of interest include Computation Intelligence, Optimization, Swarm Intelligence, Evolutionary Algorithms, and Neutrosophic Sets and Logic.
Affiliations and expertise
Researcher, Faculty of Computers and Informatics, Zagazig University, EgyptMH
Md Alamgir Hossain
Dr. Md Alamgir Hossain is currently working as a Research Fellow at Queensland Micro-and Nano-technology Centre, Griffith University, Australia. Previously he worked as a Postdoc Research Associate at the University of New South Wales (UNSW), Australia, and an Assistant Professor in the Electrical and Electronic Engineering (EEE) department at the Dhaka University of Engineering & Technology (DUET), Bangladesh. His research interests include hydrogen DC microgrids, renewable energy integration, ocean energy, artificial intelligence, optimization algorithms, energy prediction, robust control, energy management systems, and energy storage systems. Dr. Hossain has published over 30 high-impact journal papers in his specialist field, and has extensive working experience in control systems, optimization algorithms, and artificial intelligence for the application of renewable energy systems.
Affiliations and expertise
Research Fellow, Queensland Micro-and Nano-technology Centre, Griffith University, AustraliaRead Multi-Criteria Decision-Making for Renewable Energy on ScienceDirect