Issue |
E3S Web Conf.
Volume 386, 2023
Annual International Scientific Conferences: GIS in Central Asia – GISCA 2022 and Geoinformatics – GI 2022 “Designing the Geospatial Ecosystem”
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Article Number | 06004 | |
Number of page(s) | 11 | |
Section | GIS in Ecology, Ecosystem Services, Heritage | |
DOI | https://doi.org/10.1051/e3sconf/202338606004 | |
Published online | 12 May 2023 |
Development of a method for determining the optimal areas for alternative energy facilities based on GIS technologies
1 “Cartography” State Scientific Production Enterprise Mirzo Ulugbek district, Ziyolilar St., 6, 100170, Tashkent, Uzbekistan
2 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Kory Niyoziy St., 39, 100000, Tashkent, Uzbekistan
* Corresponding author: aziz.inamovg@gmail.com
Acquisition of alternative energy resources using the modern Global Mapper software on an electronic digital map is an important process. This article analyses the possibility of using maps in the implementation of internationally acknowledged projects, as well as interactive services to the government, and the possibility of mapping alternative energy sources, synthesizing data, and developing management decisions through the development of innovative technologies. The research in this study is about determining optimal locations for the installation of solar panels and wind turbines. For the tests, Tashkent and Samarkand provinces were selected. Initially, the elevation of the provinces was determined by remote sensing and the elevation surface was created by interpolation. According to the data obtained from the regional hydrometeorological stations, the air temperature in the regions was taken and geovisualized as a vector layer. At the same time, the wind speed was mapped using the method of geostatistical analysis, which observed the annual average wind speed. On the basis of the highest parts of the earth’s surface and in areas with high temperatures, raster calculations were performed and the method for determining the most optimal place for installing solar panels was improved.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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