Allocation of Wind Power Plant Construction Using Adaptive Neuro-Fuzzy Inference System. Issue 1 (June 2020)

• Record Type: Journal Article
• Authors: Jasman, H; Said, S M; Nurtanio, I
• Is Part Of: IOP conference series. Volume 875:Issue 1(2020)
• Publication Date: 2020-06
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/875/1/012035
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: This research aims to determine the feasibility of a location to build Wind Power Plant (WPP). One of the challenges in wind energy development is to find area or location with high suitability for optimizing wind farm to allow the installation of as many wind turbines as possible within a limited area. To construct as many wind turbines as possible, the Adaptive Neuro Fuzzy Inference System (ANFIS) method is adopted using 7 parameters i.e wind potential, elevation, slope, type of land use, soil condition, access to roads, and populated areas and 2178 rules of fuzzy logic. The research was conducted in Kelara District, Jeneponto Regency, South Sulawesi, Indonesia. The most optimal result is obtained in the village of Tolo with a percentage of feasibility of 91% and error 0.48287. The output of this system can determine the feasibility of a location of wind turbine installation and can be used as a reference for determining wind farms in Indonesia and other countries.