Print Email Facebook Twitter Solar energy data analytics Title Solar energy data analytics: PV deployment and land use Author Mancini, Francesco (Sapienza University of Rome) Nastasi, B. (TU Delft Building Physics; Sapienza University of Rome) Date 2020 Abstract EU targets for sustainable development call for strong changes in the current energy systems as well as committed protection of environmental resources. This target conflicts if a policy is not going to promote the compatible solutions to both the issues. This is the case of the additional renewable energy sources to be exploited for increasing the share in the electricity mix and in the gross final energy consumption. Solar energy is, currently, the cheapest solution in Southern European Countries, like Italy. In this paper, thanks to the availability of three open databases provided by National Institutions, the authors compared the historic trends and policy scenarios for soil consumption, electricity consumption, and renewable electricity production to check correlations. The provincial scale was chosen as resolution of the analysis. The deviations from the policy scenarios was then addressed to identify the demand for policy recommendations and pathways to promote in order to achieve the target for renewable electricity share as well as the reduction in soli consumption trend in 2030. The role of renewables integrated in the existing contexts, such as building integrated photovoltaics, is considered a key driver for solving this issue. Subject Building integrated photovoltaicsElectrification in the built environmentEnergy planningOpen energy analyticsSolar energy To reference this document use: http://resolver.tudelft.nl/uuid:60ad06dd-07ad-4e15-af88-6c7ed9689f98 DOI https://doi.org/10.3390/en13020417 ISSN 1996-1073 Source Energies, 13 (2) Part of collection Institutional Repository Document type journal article Rights © 2020 Francesco Mancini, B. Nastasi Files PDF energies_13_00417.pdf 2.59 MB Close viewer /islandora/object/uuid:60ad06dd-07ad-4e15-af88-6c7ed9689f98/datastream/OBJ/view