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Assessing the solar PV power project site selection in Pakistan: based on AHP-fuzzy VIKOR approach
- Source :
- Environmental science and pollution research international. 26(29)
- Publication Year :
- 2019
-
Abstract
- Pakistan has an abundant solar power potential which can be effectively utilized for the electricity generation. There are various sites across the country which have sufficient solar irradiation across the year, and thus, suitable for the installation of solar photovoltaic (PV) power projects. This study, therefore, aims to undertake research on the establishment of solar power project site selection in Pakistan. In this context, 14 promising cities of Pakistan are considered as alternatives and studied in terms of economic, environmental, social, location, climate, and orography criteria and further supplemented with 20 sub-criteria. Initially, the analytical hierarchy process (AHP) method has been used to prioritize each of the main criteria and sub-criteria. Later, fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (F-VIKOR) method has been employed to prioritize the 14 alternatives. The present investigation reveals that Khuzdar (C2), Badin (C3), and Mastung (C7) are the most suitable cities for the installation of solar PV power projects in Pakistan. Finally, the outcome of the sensitivity analysis revealed that obtained results are reliable and robust for the installation of solar PV power projects in Pakistan. This study shall assist government, energy planners, and policymakers in making cities sustainable by establishing solar power projects in Pakistan.
- Subjects :
- Health, Toxicology and Mutagenesis
Decision Making
Site selection
Analytic hierarchy process
Conservation of Energy Resources
Context (language use)
010501 environmental sciences
Empirical Research
01 natural sciences
Fuzzy logic
Fuzzy Logic
Solar Energy
Environmental Chemistry
Pakistan
Cities
Solar power
0105 earth and related environmental sciences
Government
business.industry
Photovoltaic system
General Medicine
Environmental economics
Sustainable Development
Pollution
Electricity generation
Socioeconomic Factors
business
Subjects
Details
- ISSN :
- 16147499
- Volume :
- 26
- Issue :
- 29
- Database :
- OpenAIRE
- Journal :
- Environmental science and pollution research international
- Accession number :
- edsair.doi.dedup.....8924874f7edf2a0d1a351e5892d74740