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Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia


Gašparović, Iva; Gašparović, Mateo
Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia // Remote Sensing, 11 (2019), 12; 1481, 18 doi:10.3390/rs11121481 (međunarodna recenzija, članak, znanstveni)


Naslov
Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia

Autori
Gašparović, Iva ; Gašparović, Mateo

Izvornik
Remote Sensing (2072-4292) 11 (2019), 12; 1481, 18

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
AHP ; GIS ; remote sensing ; solar energy

Sažetak
In the last few years, the world has been turning to the exploitation of renewable energy sources due to increased awareness of environmental protection and increased consumption of fossil fuels. In this research, by applying geographic information systems and integrating them with multi-criteria decision making methods, an area suitable for the construction and exploitation of renewable energy sources is determined. The research uses not only climate, spatial, environmental, and geomorphological parameters but also socioeconomic parameters, population, unemployment, and number of tourist nights as well as electricity consumption. By applying spatial analysis, rasters of all parameters were created using GRASS GIS software. Using the analytic hierarchy process, the calculated rasters are assigned with weight coefficients, and the sum of all those rasters gives the final raster of optimal locations for the construction of solar power plants in Croatia. To test the accuracy of the obtained results, sensitivity analysis was performed using different weight coefficients of the parameters. From the sensitivity analysis results, as well as a histogram and statistical indicators of the three rasters, it is apparent that raster F1 gives the best results. The most decisive parameters in determining the optimal solar plant locations that result from this research are GHI, land cover, and distance to the electricity network.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija



POVEZANOST RADA


Ustanove
Geodetski fakultet, Zagreb

Profili:

Avatar Url Iva Gašparović (autor)

Avatar Url Mateo Gašparović (autor)

Citiraj ovu publikaciju

Gašparović, Iva; Gašparović, Mateo
Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia // Remote Sensing, 11 (2019), 12; 1481, 18 doi:10.3390/rs11121481 (međunarodna recenzija, članak, znanstveni)
Gašparović, I. & Gašparović, M. (2019) Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia. Remote Sensing, 11 (12), 1481, 18 doi:10.3390/rs11121481.
@article{article, year = {2019}, pages = {18}, DOI = {10.3390/rs11121481}, chapter = {1481}, keywords = {AHP, GIS, remote sensing, solar energy}, journal = {Remote Sensing}, doi = {10.3390/rs11121481}, volume = {11}, number = {12}, issn = {2072-4292}, title = {Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia}, keyword = {AHP, GIS, remote sensing, solar energy}, chapternumber = {1481} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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