Back to Search
Start Over
Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?
- Source :
- Environmental Science and Pollution Research International
- Publication Year :
- 2021
- Publisher :
- Springer Berlin Heidelberg, 2021.
-
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.
- Subjects :
- Process (engineering)
Health, Toxicology and Mutagenesis
Analytic hierarchy process
Wind
010501 environmental sciences
01 natural sciences
Energy policy
Energy planning
Hydroelectricity
Renewable energy consumption
PESTLE
Solar Energy
Environmental Chemistry
Biomass
Renewable Energy
0105 earth and related environmental sciences
business.industry
General Medicine
Energy consumption
Environmental economics
Pollution
Fuzzy-EDAS
Analytical hierarchy process
Sustainability
Alternative energy
business
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 16147499 and 09441344
- Database :
- OpenAIRE
- Journal :
- Environmental Science and Pollution Research International
- Accession number :
- edsair.doi.dedup.....b9abef4c85e564af3ebb52f9113d91ec