Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
dc.authorid | Öcal, Oğuz/0000-0002-5729-7218 | |
dc.authorid | Derindag, Omer Faruk/0000-0002-6693-0628 | |
dc.authorid | ASLAN, Alper/0000-0003-1408-0921 | |
dc.authorwosid | Öcal, Oğuz/U-2541-2019 | |
dc.authorwosid | Derindag, Omer Faruk/ABI-2557-2020 | |
dc.contributor.author | Demirtas, Ozgur | |
dc.contributor.author | Derindag, Omer Faruk | |
dc.contributor.author | Zarali, Fulya | |
dc.contributor.author | Ocal, Oguz | |
dc.contributor.author | Aslan, Alper | |
dc.date.accessioned | 2024-08-04T20:49:23Z | |
dc.date.available | 2024-08-04T20:49:23Z | |
dc.date.issued | 2021 | |
dc.department | İnönü Üniversitesi | en_US |
dc.description.abstract | 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. | en_US |
dc.identifier.doi | 10.1007/s11356-021-13310-0 | |
dc.identifier.endpage | 36287 | en_US |
dc.identifier.issn | 0944-1344 | |
dc.identifier.issn | 1614-7499 | |
dc.identifier.issue | 27 | en_US |
dc.identifier.pmid | 33687631 | en_US |
dc.identifier.scopus | 2-s2.0-85102347479 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.startpage | 36274 | en_US |
dc.identifier.uri | https://doi.org/10.1007/s11356-021-13310-0 | |
dc.identifier.uri | https://hdl.handle.net/11616/99810 | |
dc.identifier.volume | 28 | en_US |
dc.identifier.wos | WOS:000626836600002 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Heidelberg | en_US |
dc.relation.ispartof | Environmental Science and Pollution Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Renewable energy consumption | en_US |
dc.subject | Energy planning | en_US |
dc.subject | Analytical hierarchy process | en_US |
dc.subject | PESTLE | en_US |
dc.subject | Fuzzy-EDAS | en_US |
dc.title | Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions? | en_US |
dc.type | Article | en_US |