Cargando…

Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?

The facilities that energy delivers to social life and economic activities render it indispensable. Hence, it is equally critical that the energy cycle must have a sustainable structure. Therefore, it is an indisputable fact that developing and performing correct and consistent energy policies is vi...

Descripción completa

Detalles Bibliográficos
Autores principales: Demirtas, Ozgur, Derindag, Omer Faruk, Zarali, Fulya, Ocal, Oguz, Aslan, Alper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941332/
https://www.ncbi.nlm.nih.gov/pubmed/33687631
http://dx.doi.org/10.1007/s11356-021-13310-0
_version_ 1783662132377681920
author Demirtas, Ozgur
Derindag, Omer Faruk
Zarali, Fulya
Ocal, Oguz
Aslan, Alper
author_facet Demirtas, Ozgur
Derindag, Omer Faruk
Zarali, Fulya
Ocal, Oguz
Aslan, Alper
author_sort Demirtas, Ozgur
collection PubMed
description The facilities that energy delivers to social life and economic activities render it indispensable. Hence, it is equally critical that the energy cycle must have a sustainable structure. Therefore, it is an indisputable fact that developing and performing correct and consistent energy policies is vitally necessary. Energy consumption planning includes a continuous process to reassess existing and potential alternative energy approaches and strategies. The public and private decision-makers in charge of planning and managing energy consumption policies must adapt their strategies to novel and superior alternative resources according to sustainability and efficiency criteria. In this paper, the fuzzy EDAS method is used to address the best renewable energy consumption by taking political, economic, social, technological, legal, and environmental (PESTLE) dimensions into account. The analysis of the paper indicates the most efficient renewable energy consumption is sourced by geothermal, solar, wind, hydroelectricity, and biomass, respectively. By further investigation, it is concluded that the most optimum renewable energy consumption alternatives based on PESTLE dimensions are geothermal and solar energies.
format Online
Article
Text
id pubmed-7941332
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-79413322021-03-09 Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions? Demirtas, Ozgur Derindag, Omer Faruk Zarali, Fulya Ocal, Oguz Aslan, Alper Environ Sci Pollut Res Int Research Article The facilities that energy delivers to social life and economic activities render it indispensable. Hence, it is equally critical that the energy cycle must have a sustainable structure. Therefore, it is an indisputable fact that developing and performing correct and consistent energy policies is vitally necessary. Energy consumption planning includes a continuous process to reassess existing and potential alternative energy approaches and strategies. The public and private decision-makers in charge of planning and managing energy consumption policies must adapt their strategies to novel and superior alternative resources according to sustainability and efficiency criteria. In this paper, the fuzzy EDAS method is used to address the best renewable energy consumption by taking political, economic, social, technological, legal, and environmental (PESTLE) dimensions into account. The analysis of the paper indicates the most efficient renewable energy consumption is sourced by geothermal, solar, wind, hydroelectricity, and biomass, respectively. By further investigation, it is concluded that the most optimum renewable energy consumption alternatives based on PESTLE dimensions are geothermal and solar energies. Springer Berlin Heidelberg 2021-03-09 2021 /pmc/articles/PMC7941332/ /pubmed/33687631 http://dx.doi.org/10.1007/s11356-021-13310-0 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Demirtas, Ozgur
Derindag, Omer Faruk
Zarali, Fulya
Ocal, Oguz
Aslan, Alper
Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
title Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
title_full Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
title_fullStr Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
title_full_unstemmed Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
title_short Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
title_sort which renewable energy consumption is more efficient by fuzzy edas method based on pestle dimensions?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941332/
https://www.ncbi.nlm.nih.gov/pubmed/33687631
http://dx.doi.org/10.1007/s11356-021-13310-0
work_keys_str_mv AT demirtasozgur whichrenewableenergyconsumptionismoreefficientbyfuzzyedasmethodbasedonpestledimensions
AT derindagomerfaruk whichrenewableenergyconsumptionismoreefficientbyfuzzyedasmethodbasedonpestledimensions
AT zaralifulya whichrenewableenergyconsumptionismoreefficientbyfuzzyedasmethodbasedonpestledimensions
AT ocaloguz whichrenewableenergyconsumptionismoreefficientbyfuzzyedasmethodbasedonpestledimensions
AT aslanalper whichrenewableenergyconsumptionismoreefficientbyfuzzyedasmethodbasedonpestledimensions