Multi-criteria decision-making for renewable energy : methods, applications, and challenges /

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...

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Bibliographic Details
Main Authors: Abdel-Basset, Mohamed, 1985- (Author), Elhoseny, Mohamed (Author), Gamal, Abduallah (Author), Hossain, Alamgir (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam, Netherlands ; Cambridge, MA : Elsevier, [2024]
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Multi-Criteria Decision-Making for Renewable Energy
  • Copyright Page
  • Contents
  • 1 Introduction and objectives toward green transition through optimized renewable energy systems
  • 1.1 Renewable energy scenario
  • 1.2 Opportunities
  • 1.2.1 Energy access
  • 1.2.2 Energy security
  • 1.2.3 Socioeconomic development
  • 1.2.4 Climate change mitigation
  • 1.3 Solar power systems
  • 1.4 Wind energy
  • 1.5 Solar-powered hydrogen
  • 1.6 Biomass energy
  • 1.7 Energy storage technologies
  • 1.8 Hydropower
  • 1.9 Marine renewable energy
  • 1.10 Summary
  • References
  • 2 An eclectic decision for selecting the optimum green energy source for sustainable energy planning by considering multifa...
  • 2.1 Introduction
  • 2.2 Preliminaries
  • 2.2.1 Fuzzy set theory
  • 2.2.2 Fuzzy operations
  • 2.3 Materials and methods
  • 2.3.1 Analytical hierarchy process method
  • 2.3.2 Technique for order of preference by similarity to ideal solution method
  • 2.3.3 Applied approach
  • 2.4 Application
  • 2.4.1 Empirical case study evaluation of renewable energy sources in Egypt
  • 2.4.1.1 Geothermal energy A1
  • 2.4.1.2 Hydroelectric energy A2
  • 2.4.1.3 Solar energy A3
  • 2.4.1.4 Wind energy A4
  • 2.4.1.5 Bioenergy A5
  • 2.4.2 Application steps of the approach
  • 2.5 Results and discussion
  • 2.6 Future predictions
  • 2.7 Summary
  • References
  • 3 Exploring and identifying barriers in the propagation of renewable energy technologies for sustainable development
  • 3.1 Introduction
  • 3.2 Materials and methods
  • 3.2.1 DEMATEL method
  • 3.2.2 TOPSIS method
  • 3.2.3 The procedures of the fuzzy DEMATEL-TOPSIS approach
  • 3.3 Results and analysis
  • 3.4 Discussion
  • 3.5 Future predictions
  • 3.6 Summary
  • References
  • 4 Mathematical modeling-based decision-making algorithms for the selection of photovoltaic solar plant site
  • 4.1 Introduction.
  • 4.2 Materials and methods
  • 4.2.1 Information entropy method
  • 4.2.2 VIseKriterijumska Optimizacija I Kompromisno Resenje method
  • 4.2.3 Decision-making process
  • 4.3 Preliminary experiments and results
  • 4.4 Results discussion and validation
  • 4.5 Future predictions
  • 4.6 Summary
  • References
  • 5 Assessing the sustainable aspects of location selection for offshore wind power plant
  • 5.1 Introduction
  • 5.2 Floating wind farms
  • 5.3 Materials and methods
  • 5.3.1 Entropy method
  • 5.3.2 EDAS method
  • 5.3.3 Detailed steps for the approach used
  • 5.4 Application of decision approach
  • 5.5 Discussion
  • 5.6 Future predictions
  • 5.7 Summary
  • References
  • 6 Sustainable hydrogen production technologies based on consolidated MCDM ranking strategies for better environment
  • 6.1 Introduction
  • 6.2 Materials and methods
  • 6.2.1 CRITIC method
  • 6.2.2 CODAS method
  • 6.2.3 Hybrid CRITIC-CODAS framework
  • 6.3 Application of hybrid CRITIC-CODAS framework
  • 6.4 Discussion
  • 6.5 Future predictions
  • 6.6 Summary
  • References
  • 7 Revealing current trends and prospects in bioenergy production technologies and assessment sustainability performance
  • 7.1 Introduction
  • 7.2 Materials and methods
  • 7.2.1 MOORA method
  • 7.2.2 COPRAS method
  • 7.2.3 Methodological approach
  • 7.3 Model application
  • 7.4 Discussion
  • 7.5 Future predictions
  • 7.6 Summary
  • References
  • 8 Current and future development in sustainable energy storage technologies
  • 8.1 Introduction
  • 8.2 Materials and methods
  • 8.2.1 SMART method
  • 8.2.2 MABAC method
  • 8.2.3 Mathematical approach
  • 8.3 Case study
  • 8.4 Results and discussion
  • 8.5 Future predictions
  • 8.6 Summary
  • References
  • 9 Optimization techniques for mitigating difficulties in potential locations for hydropower projects
  • 9.1 Introduction
  • 9.2 Materials and methods
  • 9.2.1 CRITIC method.
  • 9.2.2 MARCOS method
  • 9.2.3 Hybrid CRITIC-MARCOS methodology
  • 9.3 Application
  • 9.4 Results and discussion
  • 9.5 Future predictions
  • 9.6 Summary
  • References
  • 10 Selecting marine renewable energy plant location
  • 10.1 Introduction
  • 10.2 Materials and methods
  • 10.2.1 MOORA method
  • 10.2.2 PROMETHEE-II method
  • 10.2.3 Hybrid MOORA-PROMETHEE-II methodology
  • 10.3 Methodology application
  • 10.4 Results and discussion
  • 10.5 Future predictions
  • 10.6 Summary
  • References
  • 11 Renewable energy challenges, recent developments, and future research directions
  • 11.1 Challenges and open issues
  • 11.1.1 Land use conflicts
  • 11.1.2 Infrastructure requirements
  • 11.1.3 Intermittency
  • 11.1.4 Cost
  • 11.1.5 Market failures
  • 11.1.6 Informational and consciousness barriers
  • 11.1.7 Sociocultural barriers
  • 11.1.8 Policy barriers
  • 11.1.9 Availability
  • 11.1.10 Socio-environment concern
  • 11.1.11 Sustainable energy decision
  • 11.1.12 Economic influence
  • 11.1.13 Political influence
  • 11.1.14 Energy density
  • 11.2 Multicriteria decision-making
  • 11.2.1 Outranking techniques
  • 11.2.2 Ranking techniques
  • 11.2.3 Comparison of outranking and ranking techniques
  • 11.2.4 Comparisons of different techniques used in this book
  • 11.3 Future research directions
  • 11.4 Summary
  • References
  • Index
  • Back Cover.