Geolocation of photovoltaic farms using Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM) methods: Case of the Ecuadorian energy regulation
Геолокация фотоэлектрических ферм с использованием географических информационных систем (ГИС) и методов многокритериального принятия решений (MCDM): пример регулирования энергетики Эквадора
2022-03-08
SCID: 54.1/8ad5baqk
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Analytic Hierarchy ProcessEcuadorian energy regulationGeographic Information Systemsmultiple-criteria decision-makingphotovoltaic farm geolocation
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Abstract (AI)
Human needs and their production processes require energy services to be developed. In recent years, there has been a great interest in counteracting the use of fossil fuels to satisfy these needs. As part of the worldwide proposed initiatives, there is the use of renewable resources. In Latin America, renewable energy represents a large share of electric energy generation sources. In the case of the Ecuadorian energy regulation, it is necessary to generate at least 1 MW to be considered as a solar farm. Under this framework, Ecuador has a project for installing 91 photovoltaic power plants, fifteen of which will be solar farms and the rest solar power plants with relatively low generation capacity. Currently, in Ecuador, photovoltaic projects are randomly distributed in the territory which shows a lack of adequate criteria for their location. The first step to promote the use of solar sources is identifying the potential, which can be estimated with the use of spatial tools such as Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM). This research aims to locate appropriate sites for installing photovoltaic solar farms based on the Ecuadorian energy regulation and combining GIS with MCDM techniques. Thus, nine factors and four restrictions were used for the analysis. Factors were weighted using the Analytic Hierarchy Process method. Once weighted, seven MCDMs were applied to select sites with solar potential. Subsequently, an analysis of seven results was performed using the Pearson correlation coefficient, followed by the absolute error analysis. By the coefficient of Pearson, it is demonstrated that there are methods with a high correlation between them. It is explained by the fact that they have many pixels with similar values, but these values are independent of geographical location. Regarding the results, Loja and part of the provinces in the center north of the country, Pichincha, Santo Domingo de los Tsáchilas, and Cotopaxi are the most adequate because of its great global solar radiation, wind speed, and temperature to cold the solar panels.
Key Findings
1
Loja and parts of central-northern Ecuador, including Pichincha, Santo Domingo de los Tsáchilas, and Cotopaxi, were identified as areas with solar-farm potential.
2
Seven MCDM methods were applied and compared using Pearson correlation and absolute error analyses to assess agreement among suitability maps.
3
Some MCDM methods showed high correlation because they assigned similar values to many pixels, although those values were independent of geographic location.
4
The study combines GIS and multiple-criteria decision-making to identify suitable locations for photovoltaic farms under Ecuadorian energy regulations.
5
The suitability analysis uses nine weighted factors and four restrictions, with factor weights determined through the Analytic Hierarchy Process.
Research Object
Potential sites in Ecuador for installing photovoltaic solar farms under the Ecuadorian energy regulation
Research Subject
The spatial suitability and solar-potential ranking of candidate sites based on nine weighted factors and four restrictions using GIS-MCDM methods
Publication Details
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2022-03-08
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