GIS-based site suitability assessment for solar plants in Ivano-Frankivsk region

Ahsan, A., Talha, B. N., Asad, A. N., Mubashir, A. S., Muhammad, H. K., Muhammad, S. B. Z., & Syed, M. A. [2022]. Investigation of PV utilizability on university buildings: A case study of Karachi, Pakistan, Renewable Energy, Volume 195, 238-251, doi: 10.1016/j.renene.2022.06.006.

Bagriy, S. M., Davybida, L. I., & Kuzmenko, E. D. [2017]. Spatial modeling and prediction of environmental situation when filling Dombrowski quarry: GIS approach. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (2), 109-11.

Beseničar, J., Trstenjak, B., & Setnika, D. [2008]. Application of geomatics in photovoltaics. The Intern. Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences, vol. 37(B4), 53–56.

Bieda, A. & Cienciała, A. [2021]. Towards a Renewable Energy Source Cadastre – A Review of Examples from around the World. Energies, vol. 14 (23), 8095, 2021, doi: 10.3390/en14238095.

Bujarkiewicz, A., Sztubecka M., Sztubecki, J. [2018]. The Study of Using Gis Tools in Sustainable Management of Solar Energy. Civil and Environmental Engineering Reports, vol. 28, 26–39. doi: 10.2478/ceer-2018-0003.

Fediv, Y., & Davybida, L. [2015]. The planning of the GIS-project for the long-term hydrogeology prognostication on the basis systems of automation for projects' management. 14th EAGE International Conference on Geoinformatics - Theoretical and Applied Aspects, Geoinformatics 2015, doi:10.3997/2214-4609.201412373

Guaita-Pradas, I., Marques-Perez, I., Gallego, A., & Segura, B. [2019]. Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases. Environ. Monit. Assess., vol. 191(764). doi: 10.1007/s10661-019-7871-8.

Khan, J., & Arsalan, M. H. [2016]. Estimation of rooftop solar photovoltaic potential using geo-spatial techniques: A perspective from planned neighborhood of Karachi – Pakistan, Renewable Energy, no. 90, 188-203, doi: 10.1016/j.renene.2015.12.058.

Kasiyanchuk, D., Kuzmenko, E., Tymkiv, M., & Vitiuk, A. [2018]. Geo-information modelling of the insolation level within Ivano-Frankivsk region. Journal of Geology, Geography and Geoecology, 27(2), 222-231, doi: 10.15421/111847

Kereush, D. & Perovych, I. [2017]. Determining criteria for optimal site selection for solar power plants. Geomatics, Landmanagement and Landscape, 4, 39–54.

Lewis, S. M., Gross, S., Visel, A., Kelly, M. & Morrow, W. [2015]. Fuzzy GIS-based multi-criteria evaluation for us agave production as a bioenergy feedstock. GCB Bioenergy, 7, 84–99.

Mierzwiak, M. & Calka, B. [2017]. Multi-criteria analysis for solar farm location suitability. Reports on Geodesy and Geoinformatics, 104, 20–32. doi: 10.1515/rgg-2017-0012.

Perovych, L. & 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.

Romero Rodríguez, L., Duminil, E., Sánchez Ramos, J., & Eicker, U. [2017]. Assessment of the photovoltaic potential at urban level based on 3D City models: A case study and new methodological approach. Solar Energy, vol. 146, 264–275, doi: 10.1016/j.solener.2017.02.043.

Yankiv-Vitkovska, L., Peresunko, B., Wyczałek, I., & Papis, J. [2020]. Site selection for solar power plant in Zaporizhia city (Ukraine). Geodesy and Cartography, vol. 69, no. 1, 97–116, doi: 10.24425/gac.2020.131076.

Yushchenko, A., de Bono, A., Chatenoux, B., Kumar Patel, M., & Ray, N. [2018]. GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa. Renewable & sustainable energy reviews, vol. 81, 2088-2103, doi: 10.1016/j.rser.2017.06.021.