Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study

Energy requirements have increased dramatically due to industrialization, economic, and population growth. To meet this demand, and solve its challenges, such as climate change, renewable energies do play an important role. This research work aims at selecting the best renewable energy projects usin...

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Autores principales:	Mohsen Ramezanzade, Hossein Karimi, Khalid Almutairi, Hoa Ao Xuan, Javad Saebi, Ali Mostafaeipour, Kuaanan Techato
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sustainability development renewable energy ranking multi-criteria decision-making fuzzy theory Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/886c579c10ab4cd39313a052309487cf
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spelling	oai:doaj.org-article:886c579c10ab4cd39313a052309487cf2021-11-25T19:04:59ZImplementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study10.3390/su1322128582071-1050https://doaj.org/article/886c579c10ab4cd39313a052309487cf2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12858https://doaj.org/toc/2071-1050Energy requirements have increased dramatically due to industrialization, economic, and population growth. To meet this demand, and solve its challenges, such as climate change, renewable energies do play an important role. This research work aims at selecting the best renewable energy projects using a hybrid decision-making framework from environmental, economic, technical, and social aspects at a sub-national level. In this regard, a new hybrid fuzzy multi-criteria decision-making model is deployed in which Vise Kriterijumska Optimizacija I Kompromisno Resenje, distance from average solution, and additive ratio assessment methods are used. In addition, for the weighing of criteria, Fuzzy Shannon’s entropy is used. Furthermore, the North Khorasan province is nominated as a sub-national study area. The results show that among 30 sub-criteria, social acceptance, net-presented cost, and noise were the top three with weights of 0.1105, 0.1003, and 0.0988, respectively. Solar energy projects also accomplished high ranks with an overall score of roughly 0.22. After that, small hydropower got second place with a score of 0.187. Moreover, the ranking of cities indicates that Jajarm was the most suitable location for implementing renewable energy development with a score of 0.14. Finally, sensitivity analysis was carried out to show that the mathematical model possessed good robustness.Mohsen RamezanzadeHossein KarimiKhalid AlmutairiHoa Ao XuanJavad SaebiAli MostafaeipourKuaanan TechatoMDPI AGarticlesustainability developmentrenewable energyrankingmulti-criteria decision-makingfuzzy theoryEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12858, p 12858 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sustainability development renewable energy ranking multi-criteria decision-making fuzzy theory Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	sustainability development renewable energy ranking multi-criteria decision-making fuzzy theory Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Mohsen Ramezanzade Hossein Karimi Khalid Almutairi Hoa Ao Xuan Javad Saebi Ali Mostafaeipour Kuaanan Techato Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study
description	Energy requirements have increased dramatically due to industrialization, economic, and population growth. To meet this demand, and solve its challenges, such as climate change, renewable energies do play an important role. This research work aims at selecting the best renewable energy projects using a hybrid decision-making framework from environmental, economic, technical, and social aspects at a sub-national level. In this regard, a new hybrid fuzzy multi-criteria decision-making model is deployed in which Vise Kriterijumska Optimizacija I Kompromisno Resenje, distance from average solution, and additive ratio assessment methods are used. In addition, for the weighing of criteria, Fuzzy Shannon’s entropy is used. Furthermore, the North Khorasan province is nominated as a sub-national study area. The results show that among 30 sub-criteria, social acceptance, net-presented cost, and noise were the top three with weights of 0.1105, 0.1003, and 0.0988, respectively. Solar energy projects also accomplished high ranks with an overall score of roughly 0.22. After that, small hydropower got second place with a score of 0.187. Moreover, the ranking of cities indicates that Jajarm was the most suitable location for implementing renewable energy development with a score of 0.14. Finally, sensitivity analysis was carried out to show that the mathematical model possessed good robustness.
format	article
author	Mohsen Ramezanzade Hossein Karimi Khalid Almutairi Hoa Ao Xuan Javad Saebi Ali Mostafaeipour Kuaanan Techato
author_facet	Mohsen Ramezanzade Hossein Karimi Khalid Almutairi Hoa Ao Xuan Javad Saebi Ali Mostafaeipour Kuaanan Techato
author_sort	Mohsen Ramezanzade
title	Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study
title_short	Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study
title_full	Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study
title_fullStr	Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study
title_full_unstemmed	Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study
title_sort	implementing mcdm techniques for ranking renewable energy projects under fuzzy environment: a case study
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/886c579c10ab4cd39313a052309487cf
work_keys_str_mv	AT mohsenramezanzade implementingmcdmtechniquesforrankingrenewableenergyprojectsunderfuzzyenvironmentacasestudy AT hosseinkarimi implementingmcdmtechniquesforrankingrenewableenergyprojectsunderfuzzyenvironmentacasestudy AT khalidalmutairi implementingmcdmtechniquesforrankingrenewableenergyprojectsunderfuzzyenvironmentacasestudy AT hoaaoxuan implementingmcdmtechniquesforrankingrenewableenergyprojectsunderfuzzyenvironmentacasestudy AT javadsaebi implementingmcdmtechniquesforrankingrenewableenergyprojectsunderfuzzyenvironmentacasestudy AT alimostafaeipour implementingmcdmtechniquesforrankingrenewableenergyprojectsunderfuzzyenvironmentacasestudy AT kuaanantechato implementingmcdmtechniquesforrankingrenewableenergyprojectsunderfuzzyenvironmentacasestudy
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Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study

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