PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Site selection for solar power plant in Zaporizhia city (Ukraine)

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Renewable energy from solar power plants is becoming more and more popular due to the depletion of raw materials and reduction of dependence on oil and gas and is also harmless to the natural environment. The management and rational use of land resources is currently a pressing problem in the world, including in Ukraine. One of the solutions is the development of technologies for the use of these areas and the establishment of environmentally friendly technologies for reducing air pollution, namely electricity facilities – solar power plants based on the use of photovoltaic panels. Choosing the right location for obtaining solar energy depends on many factors and constraints. Optimal location of solar farms is important to maximize the beneficial features of projects while minimizing the negative. A method of finding places in the vicinity of large cities that could be suitable for installing power plants was developed. The proposed method uses an analytical hierarchical process, analytical network process, Boolean logic and weighted linear combination. It has been implemented in the QGIS program. The method was successfully used for the city of Zaporizhia, but it can be directly implemented in any other region. That is why the presented works constitute a scheme that can be easily used to estimate large areas in order to optimally choose a place for a solar park in the vicinity of large cities. Such a model can be very useful for investors to find potential locations for solar energy before conducting detailed field research.
Rocznik
Strony
97--116
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
  • Lviv Polytechnic National University, 12 Bandera st., Lviv, Ukraine, 79013
  • Lviv Polytechnic National University, 12 Bandera st., Lviv, Ukraine, 79013
  • Poznan University of Technology, 5 Maria Skłodowska-Curie Square, 60-965 Poznan, Poland
autor
  • Poznan University of Technology, 5 Maria Skłodowska-Curie Square, 60-965 Poznan, Poland
Bibliografia
  • [1] Eastman, J.R. (1999). Multi-criteria evaluation and GIS. Geographical information systems, 1(1), 493–502.
  • [2] EPIA – European Photovoltaic Industry Association. p. 24. Archived from the original (PDF) on 12 June 2014. Retrieved 12 June 2014.
  • [3] Hermann, B.G., Kroeze, C. and Jawjit, W. (2007). Assessing environmental performance by combining life cycle assessment, multi-criteria analysis and environmental performance indicators. J. Clean. Prod., 15, 1787–1796.
  • [4] Jiang, H. and Eastman, J.R. (2000). Application of fuzzy measures in multi-criteria evaluation in GIS. Int. J. Geogr. Inf. Sci., 14, 173-184.
  • [5] Kereush, D. and Perovych, I. (2017). Determining criteria for optimal site selection for solar power plants. Geomatics, Landmanagement and Landscape, 4, 39–54.
  • [6] Lewis, S.M., Gross, S., Visel, A., Kelly, M. and Morrow, W. (2015). Fuzzy GIS-based multi-criteria evaluation for us agave production as a bioenergy feedstock. GCB Bioenergy, 7, 84–99.
  • [7] Mierzwiak, M. and Calka, B. (2017). Multi-criteria analysis for solar farm location suitability. Reports on Geodesy and Geoinformatics, 104/2017, 20–32. DOI: 10.1515/rgg-2017-0012.
  • [8] Perovych, L. and Kereush, D. (2017). Technology of optimal site selection for solar photovoltaic power plants using GIS and remote sensing techniques. Geodesy, Cartography and Aerial Photography, 86, 73–79.
  • [9] Saaty, T.A. (1992). Decision-Making for Leaders. 2nd Ed. RWS Publications, Pittsburgh, USA.
  • [10] Saaty, T.A. (1997). A scaling method for priorities in hierarchical structures. J. Mathem. Psychol., 234–281.
  • [11] Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill International: New York, NY, USA.
  • [12] SolarGIS. (2018) https://solargis.com/.
  • [13] The Central Geophysical Observatory (Kyiv), wdc.org.ua/en/partners/central-geophysical-observatory.
  • [14] U.S. Geological Survey. (2018). EarthExplorer, www.earthexplorer.usgs.gov.
  • [15] Voogd, H. (1983). Multi-criteria evaluation for urban and regional planning. London, Pion.
  • [16] Wikipedia contributors (2018). Perovo Solar Park. In: Wikipedia, The Free Encyclopedia. Retrieved January 19, 2019, from https://en.wikipedia.org/wiki/Perovo_Solar_Park.
  • [17] Wikipedia contributors. (2018). Zaporizhia. In: Wikipedia, The Free Encyclopedia. Retrieved January 19, 2019, from https://en.wikipedia.org/wiki/Zaporizhia.
  • [18]WorldClim (2018) http://worldclim.org/version2.
  • [19] Yousefi, H., Hafeznia, H. and Yousefi-Sahzabi, A. (2018). Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran. Energies, 11, 1648.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-86262646-af46-4887-9a9d-85294b40c4f9
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.