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oai:researchdata.tuwien.ac.at:krdb5-dn585 2026-07-13T10:50:16Z openaire_data

4.3 TUW.TUDATA 10.48436/krdb5-dn585 oai:researchdata.tuwien.ac.at:krdb5-dn585 Buchmeier, Jakob Jakob Buchmeier 0009-0004-8682-1607 TU Wien Benesch, Claudia Claudia Benesch 0009-0001-2239-0092 TU Wien Wilker, Stefan Stefan Wilker 0000-0002-9873-0751 TU Wien Sauter, Thilo Thilo Sauter 0000-0003-1559-8394 TU Wien TU Wien 2026 climate change air conditioning grid stability low-voltage grids power system simulation RCP scenarios Buchmeier, Jakob Jakob Buchmeier 0009-0004-8682-1607 TU Wien Sauter, Thilo Thilo Sauter 0000-0003-1559-8394 TU Wien Benesch, Claudia Claudia Benesch 0009-0001-2239-0092 TU Wien Wilker, Stefan Stefan Wilker 0000-0002-9873-0751 TU Wien 2026-05-28 2026-06 2026-07-13 eng 10.34726/hss.2025.133331 10.48436/056ke-e5118 Creative Commons Attribution 4.0 International MIT License This dataset provides simulation results investigating the combined impacts of climate change and air conditioning (AC) adoption on low-voltage distribution grids in the diploma thesis: Buchmeier, J. (2025). Impact of Climate Scenarios and Air Conditioning Penetration on Low-Voltage Grid Stability. Diploma Thesis, TU Wien. https://doi.org/10.34726/hss.2025.133331 The dataset includes: Building-level profiles: Cooling demand, photovoltaic generation, and electrical baseload for ~103 buildings Grid-level impacts: Transformer loading, cable loading, and node voltages Climate scenarios: RCP4.5, RCP8.5 (both 2034), and Heatwave (extreme summer event) AC penetration levels: 10%, 25%, 50%, 75%, and 100% All data is provided at 15-minute resolution for the cooling season (May 1 – September 30). The dataset was created as part of the INFRADAPT project, funded by the Climate and Energy Fund under the program Energieforschung 2022.The dataset uses the SECURES-MET Climate Data for temperature and irradiation data in RCP4.5 and RCP8.5 scenarios for Vienna(AT130).And it uses SimBench Grid Models, namely LV Rural 3 for the base grid, PV adoption and baseload profiles.Detailed description is given in the README and the Diploma Thesis.The dataset contains reproduction scripts to reproduce most of the Diploma Thesis plots. Keywords: low-voltage grids, climate change, air conditioning, power system simulation, RCP scenarios, grid stabilityLicense: all data is licensed by CC-BY-4.0 and all software by MITDOI: 10.48436/krdb5-dn585 Sources: SECURES-MET Climate DataFormayer, H., Maier, P., et al. (2023). SECURES-Met - A European wide meteorological data set suitable for electricity modelling (supply and demand) for historical climate and climate change projections [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7907883 Used for: Temperature and irradiance time series for RCP4.5, RCP8.5, and Heatwave scenarios. SimBench Grid ModelsUniversity of Kassel, Fraunhofer IEE, RWTH Aachen University, TU Dortmund (2019). SimBench - Power System Benchmark Models. https://simbench.de  License: Open Database License (ODbL) Used for: Low-voltage grid topology, cable and transformer parameters, node structure. SciencePlots Visualization StylesGarrett, J. SciencePlots: Matplotlib styles for scientific figures. GitHub: https://github.com/garrettj403/SciencePlots  License: MIT Used for: Matplotlib style configuration in reproduction scripts. Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie 04marky29 4875802 INFRADAPT