Development of a decision support system for the siting of solar farms in Hungary
DOI:
https://doi.org/10.54200/kt.v1i2.23Keywords:
renewable energy, installation of a solar farm, goodness estimation, big data analysisAbstract
The world's appetite for energy and minerals seems insatiable. At the current rate of exploitation of the Earth's natural reserves of fossil fuels, humanity could face severe energy shortage problems in the coming decades. We must therefore turn our attention to renewable energy sources such as solar energy. The choice of location for solar parks is a key issue, as it has a direct impact on performance, economic, environmental and social issues, as well as on existing and future infrastructures. Therefore, in this study, our primary objective is to support government (Ministry/MAVIR) decision making on the siting of solar farms, which can be further developed for investor and residential use. The goodness-of-fit value provided by the mathematical model, developed using features extracted from the public databases we use according to geographical coordinates (direct normal irradiance, average air temperature, altitude, electric grid elements), indicates the most suitable regions for the location of solar farms.
References
Al Garni, H. Z., Awasthi, A. (2018). Solar PV Power Plants Site Selection: A Review, Advances in Renewable Energies and Power Technologies, 1, 57-75, https://doi.org/10.1016/B978-0-12-812959-3.00002-2
Aran Carrion, J., Espin Estrella, A., Aznar Dols, F., Zamorano Toro, M., Rodriguez, M., Ramos Ridao, A. (2008). Environmental decisi-on-support systems for evaluating the carrying capacity of land areas: Optimal site selection for grid-connected photovoltaic power plants, Renewable and Sustainable Energy Reviews, 12(9), 2358-2380, https://doi.org/10.1016/j.rser.2007.06.011
Bocca, A., Chiavazzo, E., Macii, A., Asinari, P. (2015). Solar energy potential assessment: An overview and a fast modeling approach with application to Italy, Renewable and Sustainable Energy Reviews, 49, 291-296, https://doi.org/10.1016/j.rser.2015.04.138
Georgiou, A., Skarlatos, D. (2016). Optimal site selection for sitting a solar park using multi-criteria decision analysis and geographi-cal information systems, Geoscientific Instrumentation, Methods and Data Systems, 5, 321-332, https://doi.org/10.5194/gi-5-321-2016
Kohlheb N., Munkácsy B., Csanaky L., Meleg D. (2015). A megújuló energiaforrások potenciáljai és hasznosításuk Magyarországon, Kovász, 19(1-4), 19-50.
Móczár G., Farkas I. (1999). Napenergia hasznosítás, Ökotáj, 22. szám
Munkácsy B., Sáfián F., Harmat Á., Németh S. (2014). Hazai megújuló potenciálok és hasznosításuk jövő-képünkben. In Munkácsy B. (Szerk.), A fenntartható energiagazdálkodás felé vezető út. Erre van előre! – Vision 2040 Hungary 2.0 ELTE TTK Környezet- és Tájföldrajzi Tanszék, Környezeti Nevelési Hálózat Országos Egyesület
NASA Shuttle Radar Topography Mission (SRTM), Shuttle Radar Topography Mission (SRTM) Global, Distributed by OpenTopography, (2013), https://doi.org/10.5069/G9445JDF
Pálfy M. (2005). A napenergia fotovillamos hasznosításának potenciálja Magyarországon, Elektrotechnika, 98(11), 293
Pfeifroth, U., Kothe, S., Trentmann, J., Hollmann, R., Fuchs, P., Kaiser, J., Werscheck, M. (2019). Surface Radiation Data Set - Heliosat (SARAH) - Edition 2.1, Satellite Application Facility on Climate Monitoring, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V002_01
Ruiz, P.,Nijs, W.,Tarvydas , D. ,Sgobbi, A.,Zucker, A.,Pilli, R.,Jonsson, R.,Camia, A., Thiel, C., Hoyer-Klick C., Dalla Longa, F. Kober, T.,Badger, J., Volker, P., Elbersen, B. S., Brosowski, A.,Thrän, D. (2019). ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials, Energy Strategy Reviews, 26, art. no. 100379 https://doi.org/10.1016/j.esr.2019.100379
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Copyright (c) 2021 Gergő Bogacsovics, András Hajdu, Balázs Harangi, István Lakatos, Róbert Lakatos, Marianna Szabó, Attila Tiba, János Tóth

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