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The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application
- Source :
- Energies, Volume 11, Issue 8, Energies, Vol 11, Iss 8, p 1940 (2018)
- Publication Year :
- 2018
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2018.
-
Abstract
- Pakistan has sufficient wind energy potential across various locations of the country. However, so far, wind energy development has not attained sufficient momentum matching its potential. Amongst various other challenges, the site selection for wind power development has always been a primary concern of the decision-makers. Principally, wind project site selection decisions are driven by various multifaceted criteria. As such, in this study, a robust research framework comprising of factor analysis (FA) of techno-economic and socio-political factors, and a hybrid analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) have been used for the prioritization of sites in the southeastern region of Pakistan. The results of this study reveal economic and land acquisition as the most significant criteria and sub-criteria, respectively. From the eight different sites considered, Jamshoro has been prioritized as the most suitable location for wind project development followed by Hyderabad, Nooriabad, Gharo, Keti Bandar, Shahbandar, Sajawal, and Talhar. This study provides a comprehensive decision support framework comprising of FA and a hybrid AHP and Fuzzy TOPSIS for the systematic analysis to prioritize suitable sites for the wind project development in Pakistan.
- Subjects :
- Decision support system
Matching (statistics)
Control and Optimization
Operations research
Computer science
AHP
020209 energy
Energy Engineering and Power Technology
Analytic hierarchy process
factor analysis
02 engineering and technology
Fuzzy logic
lcsh:Technology
fuzzy TOPSIS
wind project site selection
0202 electrical engineering, electronic engineering, information engineering
Pakistan
Electrical and Electronic Engineering
Project management
Engineering (miscellaneous)
Selection (genetic algorithm)
Wind power
Renewable Energy, Sustainability and the Environment
business.industry
lcsh:T
business
Energy (miscellaneous)
Subjects
Details
- Language :
- English
- ISSN :
- 19961073
- Database :
- OpenAIRE
- Journal :
- Energies
- Accession number :
- edsair.doi.dedup.....5e7cbd9d697ce16416f4a7f55b6d5efc
- Full Text :
- https://doi.org/10.3390/en11081940