Please use this identifier to cite or link to this item:
Title: GIS-based wind farm suitability assessment using fuzzy AHP multi-criteria approach: the case of Herat, Afghanistan
Authors: Nasery, Suhrabuddin
Matcı, Dilek Küçük
Avdan, Uğur
Keywords: Wind farm suitability
fuzzy AHP
Geographic information system
Issue Date: 2021
Publisher: Springer Heidelberg
Abstract: The negative impacts of fossil fuel and nuclear energy for generating electricity on the environment have created a need to find and use clean, renewable, and sustainable energy resources such as wind, solar, and geothermal resources. This study aims to locate the best suitable locations for siting wind farms in Herat province/Afghanistan with a geographic information system (GIS)-based multi-criteria decision analysis (MCDA) method. The most prominent factors affecting wind farm location considered in this study are annual average wind speed, slope, distance from residential areas, distance from power transmission lines, distance to roads, and land cover/land use (LULC). Equal buffer zones are created using the policies and regulations of different countries to prevent security disruptions around roads, residential areas, and existing power transmission lines. The fuzzy analytical hierarchy process (fuzzy AHP) is used to derive weights for each criterion, considering their relative importance. The final suitability map is generated using a weighted overlay tool in the ArcGIS Pro environment. The results show that 2.9% of the study area is very highly and 12.4% is highly suitable for siting wind farms. Four sites with areas of 537.10 km(2), 188.81 km(2), 166.97 km(2), and 16.40 km(2) located in the northeast, north, and northwest of Herat city, are concluded to be the most suitable areas for constructing wind farms. These areas are both near the town and at a close distance to power transmission lines.
ISSN: 1866-7511
Appears in Collections:İstatistik Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu

Show full item record

CORE Recommender

Page view(s)

checked on Oct 3, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.