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.
1. Chapter 1 Introduction and objectives toward green transition through optimized renewable energy systems - p. 1 2. Chapter 2 An eclectic decision for selecting the optimum green energy source for sustainable energy planning by considering multifactors - p. 7 3. 2.1: Introduction - p. 7 4. 2.2: Preliminaries - p. 8 5. 2.3: Materials and methods - p. 10 6. 2.4: Application - p. 13 7. 2.5: Results and discussion - p. 35 8. 2.6: Future predictions - p. 36 9. 2.7: Summary - p. 36 10. References - p. 36 11. Chapter 3 Exploring and identifying barriers in the propagation of renewable energy technologies for sustainable development - p. 37 12. 3.1: Introduction - p. 37 13. 3.2: Materials and methods - p. 38 14. 3.3: Results and analysis - p. 42 15. 3.4: Discussion - p. 63 16. 3.5: Future predictions - p. 64 17. 3.6: Summary - p. 64 18. References - p. 64 19. Chapter 4 Mathematical modeling-based decision-making algorithms for the selection of photovoltaic solar plant site - p. 65 20. 4.1: Introduction - p. 65 21. 4.2: Materials and methods - p. 66 22. 4.3: Preliminary experiments and results - p. 70 23. 4.4: Results discussion and validation - p. 85 24. 4.5: Future predictions - p. 85 25. 4.6: Summary - p. 85 26. References - p. 86 27. Chapter 5 Assessing the sustainable aspects of location selection for offshore wind power plant - p. 87 28. 5.1: Introduction - p. 87 29. 5.2: Floating wind farms - p. 88 30. 5.3: Materials and methods - p. 88 31. 5.4: Application of decision approach - p. 92 32. 5.5: Discussion - p. 107 33. 5.6: Future predictions - p. 108 34. 5.7: Summary - p. 108 35. References - p. 108 36. Chapter 6 Sustainable hydrogen production technologies based on consolidated MCDM ranking strategies for better environment - p. 111 37. 6.1: Introduction - p. 111 38. 6.2: Materials and methods - p. 112 39. 6.3: Application of hybrid CRITIC-CODAS framework - p. 116 40. 6.4: Discussion - p. 132 41. 6.5: Future predictions - p. 133 42. 6.6: Summary - p. 133 43. References - p. 134 44. Chapter 7 Revealing current trends and prospects in bioenergy production technologies and assessment sustainability performance - p. 135 45. 7.1: Introduction - p. 135 46. 7.2: Materials and methods - p. 136 47. 7.3: Model application - p. 140 48. 7.4: Discussion - p. 153 49. 7.5: Future predictions - p. 154 50. 7.6: Summary - p. 154 51. References - p. 154 52. Chapter 8 Current and future development in sustainable energy storage technologies - p. 155 53. 8.1: Introduction - p. 155 54. 8.2: Materials and methods - p. 156 55. 8.3: Case study - p. 160 56. 8.4: Results and discussion - p. 174 57. 8.5: Future predictions - p. 175 58. 8.6: Summary - p. 175 59. References - p. 175 60. Chapter 9 Optimization techniques for mitigating difficulties in potential locations for hydropower projects - p. 177 61. 9.1: Introduction - p. 177 62. 9.2: Materials and methods - p. 178 63. 9.3: Application - p. 182 64. 9.4: Results and discussion - p. 197 65. 9.5: Future predictions - p. 197 66. 9.6: Summary - p. 198 67. References - p. 198 68. Chapter 10 Selecting marine renewable energy plant location - p. 199 69. 10.1: Introduction - p. 199 70. 10.2: Materials and methods - p. 200 71. 10.3: Methodology application - p. 204 72. 10.4: Results and discussion - p. 222 73. 10.5: Future predictions - p. 223 74. 10.6: Summary - p. 223 75. References - p. 223 76. Chapter 11 Renewable energy challenges, recent developments, and future research directions - p. 225 77. Index - p. 237
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.
1. Chapter 1 Introduction and objectives toward green transition through optimized renewable energy systems - p. 1 2. Chapter 2 An eclectic decision for selecting the optimum green energy source for sustainable energy planning by considering multifactors - p. 7 3. 2.1: Introduction - p. 7 4. 2.2: Preliminaries - p. 8 5. 2.3: Materials and methods - p. 10 6. 2.4: Application - p. 13 7. 2.5: Results and discussion - p. 35 8. 2.6: Future predictions - p. 36 9. 2.7: Summary - p. 36 10. References - p. 36 11. Chapter 3 Exploring and identifying barriers in the propagation of renewable energy technologies for sustainable development - p. 37 12. 3.1: Introduction - p. 37 13. 3.2: Materials and methods - p. 38 14. 3.3: Results and analysis - p. 42 15. 3.4: Discussion - p. 63 16. 3.5: Future predictions - p. 64 17. 3.6: Summary - p. 64 18. References - p. 64 19. Chapter 4 Mathematical modeling-based decision-making algorithms for the selection of photovoltaic solar plant site - p. 65 20. 4.1: Introduction - p. 65 21. 4.2: Materials and methods - p. 66 22. 4.3: Preliminary experiments and results - p. 70 23. 4.4: Results discussion and validation - p. 85 24. 4.5: Future predictions - p. 85 25. 4.6: Summary - p. 85 26. References - p. 86 27. Chapter 5 Assessing the sustainable aspects of location selection for offshore wind power plant - p. 87 28. 5.1: Introduction - p. 87 29. 5.2: Floating wind farms - p. 88 30. 5.3: Materials and methods - p. 88 31. 5.4: Application of decision approach - p. 92 32. 5.5: Discussion - p. 107 33. 5.6: Future predictions - p. 108 34. 5.7: Summary - p. 108 35. References - p. 108 36. Chapter 6 Sustainable hydrogen production technologies based on consolidated MCDM ranking strategies for better environment - p. 111 37. 6.1: Introduction - p. 111 38. 6.2: Materials and methods - p. 112 39. 6.3: Application of hybrid CRITIC-CODAS framework - p. 116 40. 6.4: Discussion - p. 132 41. 6.5: Future predictions - p. 133 42. 6.6: Summary - p. 133 43. References - p. 134 44. Chapter 7 Revealing current trends and prospects in bioenergy production technologies and assessment sustainability performance - p. 135 45. 7.1: Introduction - p. 135 46. 7.2: Materials and methods - p. 136 47. 7.3: Model application - p. 140 48. 7.4: Discussion - p. 153 49. 7.5: Future predictions - p. 154 50. 7.6: Summary - p. 154 51. References - p. 154 52. Chapter 8 Current and future development in sustainable energy storage technologies - p. 155 53. 8.1: Introduction - p. 155 54. 8.2: Materials and methods - p. 156 55. 8.3: Case study - p. 160 56. 8.4: Results and discussion - p. 174 57. 8.5: Future predictions - p. 175 58. 8.6: Summary - p. 175 59. References - p. 175 60. Chapter 9 Optimization techniques for mitigating difficulties in potential locations for hydropower projects - p. 177 61. 9.1: Introduction - p. 177 62. 9.2: Materials and methods - p. 178 63. 9.3: Application - p. 182 64. 9.4: Results and discussion - p. 197 65. 9.5: Future predictions - p. 197 66. 9.6: Summary - p. 198 67. References - p. 198 68. Chapter 10 Selecting marine renewable energy plant location - p. 199 69. 10.1: Introduction - p. 199 70. 10.2: Materials and methods - p. 200 71. 10.3: Methodology application - p. 204 72. 10.4: Results and discussion - p. 222 73. 10.5: Future predictions - p. 223 74. 10.6: Summary - p. 223 75. References - p. 223 76. Chapter 11 Renewable energy challenges, recent developments, and future research directions - p. 225 77. Index - p. 237
