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Article

Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology

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School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
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STC’s Artificial Intelligence Chair, Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia
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School of Economics, Zhejiang University, Hangzhou 310058, China
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College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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Department of Economics, Bahauddin Zakaria University, Multan 60000, Pakistan
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Higher Education Department (HED), Punjab 54000, Pakistan
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Authors to whom correspondence should be addressed.
Received: 7 June 2020 / Revised: 7 July 2020 / Accepted: 10 July 2020 / Published: 13 July 2020
(This article belongs to the Special Issue Power System Expansion Planning)
Global human pollutant activities have raised greenhouse gas (GHG) emissions, which have directly affected the climate. Fossil fuel-based energy has brought a negative impact on the environment and is considered one of the largest sources of GHG emissions. It is envisaged that GHG emissions will increase in the future due to rapid population growth and industrialization. Thus, it is imperative to mitigate climate variability and reduce GHGs by adopting renewable energy (RE) sources for electricity generation. In this regard, the multi-criteria decision analysis (MCDA) process would serve the purpose of framing out energy policy to analyze these environmentally friendly energy sources. This study uses an integrated decision methodology—a combination of Delphi, fuzzy analytical hierarchy process (FAHP), and the fuzzy weighted aggregated sum product assessment (FWASPAS)—for the adoption of RE sources for electricity generation in Turkey. Initially, the study identified five main criteria and seventeen sub-criteria using the Delphi method. Then, the FAHP method was used to evaluate and rank the main criteria and sub-criteria. Finally, the FWASPAS method was used to assess and prioritize five major RE sources for electricity generation. The FAHP analysis indicated that political criteria are the most influential, followed by economic and technical criteria. Further, the FWASPAS method revealed that wind energy is the most significant option for electricity generation. This decision-making process can help the energy planners to utilize RE sources for sustainable development. View Full-Text
Keywords: renewable energy sources; sustainable development; multi-criteria decision analysis; Delphi; fuzzy AHP; fuzzy WASPAS renewable energy sources; sustainable development; multi-criteria decision analysis; Delphi; fuzzy AHP; fuzzy WASPAS
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MDPI and ACS Style

Solangi, Y.A.; Longsheng, C.; Shah, S.A.A.; Alsanad, A.; Ahmad, M.; Akbar, M.A.; Gumaei, A.; Ali, S. Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology. Processes 2020, 8, 825. https://0-doi-org.brum.beds.ac.uk/10.3390/pr8070825

AMA Style

Solangi YA, Longsheng C, Shah SAA, Alsanad A, Ahmad M, Akbar MA, Gumaei A, Ali S. Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology. Processes. 2020; 8(7):825. https://0-doi-org.brum.beds.ac.uk/10.3390/pr8070825

Chicago/Turabian Style

Solangi, Yasir A., Cheng Longsheng, Syed A.A. Shah, Ahmed Alsanad, Munir Ahmad, Muhammad A. Akbar, Abdu Gumaei, and Sharafat Ali. 2020. "Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology" Processes 8, no. 7: 825. https://0-doi-org.brum.beds.ac.uk/10.3390/pr8070825

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