Multicriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran

Abstract The current paper introduces an innovative multicriteria wind potential assessment study using fuzzy logic in decision making. Regarding the diverse conditions and lack of comprehensive studies, Iran was selected as a case study, and by applying the proposed framework, all the 559 synoptic...

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Autores principales:	Amin Aryanfar, Aslan Gholami, Mahdi Pourgholi, Majid Zandi
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	eco‐environmental fuzzy logic potential assessment social technical wind energy Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/4ee3c6093a784aba9e3cef91309d5268
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spelling	oai:doaj.org-article:4ee3c6093a784aba9e3cef91309d52682021-11-26T14:02:23ZMulticriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran1099-18241095-424410.1002/we.2640https://doaj.org/article/4ee3c6093a784aba9e3cef91309d52682021-12-01T00:00:00Zhttps://doi.org/10.1002/we.2640https://doaj.org/toc/1095-4244https://doaj.org/toc/1099-1824Abstract The current paper introduces an innovative multicriteria wind potential assessment study using fuzzy logic in decision making. Regarding the diverse conditions and lack of comprehensive studies, Iran was selected as a case study, and by applying the proposed framework, all the 559 synoptic meteorological stations in the country were studied. Fourteen technical, eco‐environmental, and social indicators were defined for the assessment. Each of the indicator's effectiveness was determined using related literature and interviews with local experts. Finally, using fuzzy logic in decision making, all the selected sites and the provinces were scored and ranked. Moreover, the priority maps of Iran provinces considering social and eco‐environmental aspects were provided. The selected sites' final standing for the development of offshore and onshore wind power plant was also determined. The results indicate that taking just the technical conditions into account can result in misleading conclusions and social and eco‐environmental criteria must also be considered for potential assessment studies. Moreover, it was shown that equal supportive policies for wind development throughout the country would mitigate their efficiency. Therefore, the energy strategies should be codified, considering local circumstances to organize investment resources, leading to higher legislation efficiencies and faster development.Amin AryanfarAslan GholamiMahdi PourgholiMajid ZandiWileyarticleeco‐environmentalfuzzy logicpotential assessmentsocialtechnicalwind energyRenewable energy sourcesTJ807-830ENWind Energy, Vol 24, Iss 12, Pp 1443-1465 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	eco‐environmental fuzzy logic potential assessment social technical wind energy Renewable energy sources TJ807-830
spellingShingle	eco‐environmental fuzzy logic potential assessment social technical wind energy Renewable energy sources TJ807-830 Amin Aryanfar Aslan Gholami Mahdi Pourgholi Majid Zandi Multicriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran
description	Abstract The current paper introduces an innovative multicriteria wind potential assessment study using fuzzy logic in decision making. Regarding the diverse conditions and lack of comprehensive studies, Iran was selected as a case study, and by applying the proposed framework, all the 559 synoptic meteorological stations in the country were studied. Fourteen technical, eco‐environmental, and social indicators were defined for the assessment. Each of the indicator's effectiveness was determined using related literature and interviews with local experts. Finally, using fuzzy logic in decision making, all the selected sites and the provinces were scored and ranked. Moreover, the priority maps of Iran provinces considering social and eco‐environmental aspects were provided. The selected sites' final standing for the development of offshore and onshore wind power plant was also determined. The results indicate that taking just the technical conditions into account can result in misleading conclusions and social and eco‐environmental criteria must also be considered for potential assessment studies. Moreover, it was shown that equal supportive policies for wind development throughout the country would mitigate their efficiency. Therefore, the energy strategies should be codified, considering local circumstances to organize investment resources, leading to higher legislation efficiencies and faster development.
format	article
author	Amin Aryanfar Aslan Gholami Mahdi Pourgholi Majid Zandi
author_facet	Amin Aryanfar Aslan Gholami Mahdi Pourgholi Majid Zandi
author_sort	Amin Aryanfar
title	Multicriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran
title_short	Multicriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran
title_full	Multicriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran
title_fullStr	Multicriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran
title_full_unstemmed	Multicriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran
title_sort	multicriteria wind potential assessment using fuzzy logic in decision making: a case study of iran
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/4ee3c6093a784aba9e3cef91309d5268
work_keys_str_mv	AT aminaryanfar multicriteriawindpotentialassessmentusingfuzzylogicindecisionmakingacasestudyofiran AT aslangholami multicriteriawindpotentialassessmentusingfuzzylogicindecisionmakingacasestudyofiran AT mahdipourgholi multicriteriawindpotentialassessmentusingfuzzylogicindecisionmakingacasestudyofiran AT majidzandi multicriteriawindpotentialassessmentusingfuzzylogicindecisionmakingacasestudyofiran
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Multicriteria wind potential assessment using fuzzy logic in decision making: A case study of Iran

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