Version 1
: Received: 27 September 2023 / Approved: 5 October 2023 / Online: 5 October 2023 (02:53:18 CEST)
How to cite:
Placide, G.; Lollchund, M.R. Optimal wind farm sites-selection using Geographic Information System based mathematical modelling and fuzzy logic tools: A case study of Burundi. Preprints2023, 2023092011. https://doi.org/10.20944/preprints202309.2011.v1
Placide, G.; Lollchund, M.R. Optimal wind farm sites-selection using Geographic Information System based mathematical modelling and fuzzy logic tools: A case study of Burundi. Preprints 2023, 2023092011. https://doi.org/10.20944/preprints202309.2011.v1
Placide, G.; Lollchund, M.R. Optimal wind farm sites-selection using Geographic Information System based mathematical modelling and fuzzy logic tools: A case study of Burundi. Preprints2023, 2023092011. https://doi.org/10.20944/preprints202309.2011.v1
APA Style
Placide, G., & Lollchund, M.R. (2023). Optimal wind farm sites-selection using Geographic Information System based mathematical modelling and fuzzy logic tools: A case study of Burundi. Preprints. https://doi.org/10.20944/preprints202309.2011.v1
Chicago/Turabian Style
Placide, G. and Michel Roddy Lollchund. 2023 "Optimal wind farm sites-selection using Geographic Information System based mathematical modelling and fuzzy logic tools: A case study of Burundi" Preprints. https://doi.org/10.20944/preprints202309.2011.v1
Abstract
The electricity generated from fossil fuel and nuclear energy has negative impacts on the environment and has shown a need to search for and promote the use of clean, renewable and sustainable energy resources such as wind, solar and geothermal resources. Nowadays, wind energy resource has emerged as the fastest-growing source of energy on an overall scale. However, the selection of the best location for constructing a wind farm is a vital issue that can be considered a site selection problem, which involves various conflicting factors. Therefore, it is classified as a multi-criteria decision-making (MCDM) problem. In this research, the site selection of wind power plants is conducted in Burundi country. The Fuzzy Analytic Hierarchy Process (FAHP) was used to weigh the criteria considering their relative importance. The main factors affecting optimal wind farm location considered in this study are wind speed, slope, distance from the grid network, distance to roads, and land use/land cover (LULC). Furthermore, a geographic information system (GIS) is utilized to generate the final suitability wind farm locations map. The obtained results show that 20.91% of the total study area is suitable; nevertheless, only 1.96% is highly suitable for wind farm placement. The western part of Burundi is concluded to be the most suitable area for wind farm construction and the most area is situated in Lake Tanganyika.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
