This is the supplementary material for the manuscript: "Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration" Article DOI: https://doi.org/10.1016/j.apenergy.2019.114161 Open access preprint: https://arxiv.org/abs/1912.03763 DESCRIPTION OF THE DATASET AND LICENSES: The subdirectory "04_results" contains the regionalised heat demand an power-to-heat capacity data on administrative district level (NUTS-3) for Germany. The subdirectories "01_census_special_evaluation_data" and "02_other_input_data" contain the utilised input data. The subdirectory "03_code" contains the developed and applied source code. The data in this repository are provided under open source licenses. For license information and other general information on the supplementary material, refer to the LICENSE files and README files in the respective subdirectories. For a detailed description of the approach developed by the author, the input data used and the generated results, refer to the manuscript "Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration". METADATA: Sector: Residential Buildings – Space Heating and Domestic Hot Water Geographical scope: Germany Geographical resolution: Administrative districts (NUTS-3) Temporal scope: 2011, three scenarios for 2030 Temporal resolution: 15min UNITS: In the final results folders (04_results/01_installed_heating_p2h_capacity; 04_results/02_daily_time_series; 04_results/03_yearly_time_series) the units of the data are indicated in the file names or the column names, e.g. by "in_MW". In case of unit indication in the file name, the unit refers to all columns in the file. In the intermediate results folder (04_results/00_sql_tables_exported_to_csv) all units referring to power are "kW" and all units referring to energy are "kWh". NEWS AND CONTACT: This dataset will be used as part of the region4FLEX model. We are currently enhancing the data by temporally and spatially resolved COP time series and determining load shifting potentials. If you wish to receive news or have general questions please contact: wilko.heitkoetter@dlr.de.

{"references": ["Heitkoetter, Wilko, et al. \"Regionalised heat demand and power-to-heat capacities in Germany\u2013An open dataset for assessing renewable energy integration.\" Applied Energy (2019): 114161."]}