Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients

The aim of this study is to determine the degree of importance of criteria affecting site selection of solar photovoltaic (PV) projects using a decision-making model. This study consists of four consecutive stages, as follows: criteria identification, questionnaire (survey), statistical analyses, an...

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Autores principales:	Muhammet Deveci, Umit Cali, Dragan Pamucar
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Renewable energy Solar photovoltaic (PV) Site selection criteria Logarithmic additive assessment Fuzzy sets Delphi technique Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/87299f7f4e514e77af2f78fe1e8c67be
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spelling	oai:doaj.org-article:87299f7f4e514e77af2f78fe1e8c67be2021-12-02T05:01:56ZEvaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients2352-484710.1016/j.egyr.2021.10.104https://doaj.org/article/87299f7f4e514e77af2f78fe1e8c67be2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721011239https://doaj.org/toc/2352-4847The aim of this study is to determine the degree of importance of criteria affecting site selection of solar photovoltaic (PV) projects using a decision-making model. This study consists of four consecutive stages, as follows: criteria identification, questionnaire (survey), statistical analyses, and degree of importance of criteria. In the first stage, the criteria are determined by reviewing the scientific literature on solar PV projects. Secondly, we conduct a questionnaire to identify the importance of the criteria for solar PV project site selection. We received responses from 33 internationally renowned experts from 22 countries, including academia and industry, using an international evaluation method. Thirdly, statistical analysis is performed in SPSS regarding each criterion, comparing the averages between the groups who filled out the questionnaire. Finally, a novel logarithmic additive estimation of weight coefficients (LAAW) under fuzzy environment is proposed to determine the degree of importance of each criterion for solar PV site selection. The results show that the most important criteria for solar PV site selection are solar radiation, economic performance indicators (net present value (NPV), internal rate of return (IRR), and return on investment (ROI)), carbon emission savings, and policy support.Muhammet DeveciUmit CaliDragan PamucarElsevierarticleRenewable energySolar photovoltaic (PV)Site selection criteriaLogarithmic additive assessmentFuzzy setsDelphi techniqueElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8805-8824 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Renewable energy Solar photovoltaic (PV) Site selection criteria Logarithmic additive assessment Fuzzy sets Delphi technique Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Renewable energy Solar photovoltaic (PV) Site selection criteria Logarithmic additive assessment Fuzzy sets Delphi technique Electrical engineering. Electronics. Nuclear engineering TK1-9971 Muhammet Deveci Umit Cali Dragan Pamucar Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients
description	The aim of this study is to determine the degree of importance of criteria affecting site selection of solar photovoltaic (PV) projects using a decision-making model. This study consists of four consecutive stages, as follows: criteria identification, questionnaire (survey), statistical analyses, and degree of importance of criteria. In the first stage, the criteria are determined by reviewing the scientific literature on solar PV projects. Secondly, we conduct a questionnaire to identify the importance of the criteria for solar PV project site selection. We received responses from 33 internationally renowned experts from 22 countries, including academia and industry, using an international evaluation method. Thirdly, statistical analysis is performed in SPSS regarding each criterion, comparing the averages between the groups who filled out the questionnaire. Finally, a novel logarithmic additive estimation of weight coefficients (LAAW) under fuzzy environment is proposed to determine the degree of importance of each criterion for solar PV site selection. The results show that the most important criteria for solar PV site selection are solar radiation, economic performance indicators (net present value (NPV), internal rate of return (IRR), and return on investment (ROI)), carbon emission savings, and policy support.
format	article
author	Muhammet Deveci Umit Cali Dragan Pamucar
author_facet	Muhammet Deveci Umit Cali Dragan Pamucar
author_sort	Muhammet Deveci
title	Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients
title_short	Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients
title_full	Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients
title_fullStr	Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients
title_full_unstemmed	Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients
title_sort	evaluation of criteria for site selection of solar photovoltaic (pv) projects using fuzzy logarithmic additive estimation of weight coefficients
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/87299f7f4e514e77af2f78fe1e8c67be
work_keys_str_mv	AT muhammetdeveci evaluationofcriteriaforsiteselectionofsolarphotovoltaicpvprojectsusingfuzzylogarithmicadditiveestimationofweightcoefficients AT umitcali evaluationofcriteriaforsiteselectionofsolarphotovoltaicpvprojectsusingfuzzylogarithmicadditiveestimationofweightcoefficients AT draganpamucar evaluationofcriteriaforsiteselectionofsolarphotovoltaicpvprojectsusingfuzzylogarithmicadditiveestimationofweightcoefficients
_version_	1718400775670988800

Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients

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