Dataset with values of parameters of Short assessment of renewable energy sources regarding population collected for 2022
Description
The dataset includes values of parameters of Short assessment of renewable energy sources regarding population collected for selected 29 European countries for 2022. The dataset was used in the research paper for the multi-criteria problem of evaluating European countries in relation to the sustainable share of renewable energy sources in particular domains of the economy. Data was grasped from the Eurostat website in the SHARES (Short assessment of renewable energy sources) collection. The criteria of the multi-criteria assessment model of European countries with the share of RES in different areas of the economy are included in the dataset. The dataset is related to the research paper: Bączkiewicz, A., Dowejko, J. (2025). Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment. In: Paszynski, M., Barnard, A.S., Zhang, Y.J. (eds) Computational Science – ICCS 2025 Workshops. ICCS 2025. Lecture Notes in Computer Science, vol 15910. Springer, Cham. https://doi.org/10.1007/978-3-031-97567-7_16
Files
Steps to reproduce
The dataset was collected from https://ec.europa.eu/eurostat/web/energy/database/additional-data#Short%20assessment%20of%20renewable%20energy%20sources%20(SHARES). It was downloaded as XLSX file called SHARES summary results. Then, we selected the data for 2022 considered in this research for chosen 29 countries and 18 criteria and we placed them in a separate file. Data in the mentioned database are available in the unit KTOE (Thousand tonnes of oil equivalent). However, in an attempt to more reliably and objectively assess countries in relation to the use of RES, this research employed data representing the share of each measure in each sector using RES (Electricity generation, Transport, Heating and Cooling, Gross final consumption of energy from RES) converted to data in KTOE (kilotonnes of oil equivalent) per 100 000 inhabitants. The data is available in XLSX and CSV files.
Institutions
- Uniwersytet SzczecinskiSzczecin