Cikarge, Ghia Pisti and Masruroh, Nur Aini and Ridwan, Mohammad Kholid (2021) Selection of Wind Farm Locations using AHP and TOPSIS Methods (Case Study: Cilacap Regency). In: 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA), 8-9 December 2021, Surabaya.
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The wind farm location selection is a very important element in building a Wind Power Plant. It aims to determine an ideal location from various criteria and the order of priority criteria and sub-criteria in selection of locations with three main criteria i.e. technical, economic, and environmental factors. Sub-criteria of technical factors are wind speed and available land. Sub-criteria of economic factors are cost and accessibility. Sub-criteria of environmental factors are the distance from the location to residential areas, emissions, and risk of disaster. This study uses the AHP method to obtain weightings of criteria and sub-criteria, as well as consistency test of pairwise comparison matrix. If All matrices have been consistent and obtained weights for each criteria and sub-criteria, then data processing was continued by using the TOPSIS method until it was obtained rankings of five alternative locations. The five locations are South Cilacap, North Cilacap, Kesugihan, Binangun, and Adipala districts. The results showed that the ranking of main criteria for selecting wind farm locations in Cilacap i.e. technical factor with a weight is 0.548, economic factor is 0.303, and environmental factor is 0.149. The ranking of sub-criteria from the first to the last priority i.e. wind speed with a weight is 0.411, cost is 0.205, available land is 0.137, risk of disaster is 0.104, accessibility is 0.098, emissions is 0.029, and distance from location to residential areas is 0.016. The best location ran kings were obtained i.e. Adipala in the first place with a preference value is 0.845, Binangun in the second place with a preference value is 0.564, Kesugihan in the third place with a preference value is 0.429, North Cilacap in the fourth place with a preference value is 0.388, and South Cilacap in the last place with a preference value is 0.298. © 2021 IEEE.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Cited by: 1 |
Uncontrolled Keywords: | Disasters; Electric utilities; Hierarchical systems; Housing; Wind; Wind power; AHP; AHP method; Economic factors; Environmental factors; Renewable energies; Technical factors; TOPSIS; TOPSIS method; Wind farm; Wind power plants; Location |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Faculty of Engineering > Mechanical and Industrial Engineering Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 25 Oct 2024 08:42 |
Last Modified: | 25 Oct 2024 08:42 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/8558 |