Data bundle for egon-data: A transparent and reproducible data processing pipeline for energy system modeling

<strong>egon-data</strong> provides a transparent and reproducible open data based data processing pipeline for generating data models suitable for energy system modeling. The data is customized for the requirements of the research project <strong>eGoⁿ</strong>. The research project aims to develop tools for an open and cross-sectoral planning of transmission and distribution grids. For further information please visit the eGoⁿ project website or its Github repository. egon-data retrieves and processes data from several different external input sources. As not all data dependencies can be downloaded automatically from external sources we provide a data bundle to be downloaded by egon-data. The following data sets are part of the available data bundle: <strong>climate_zones_germany</strong> Climate zones in Germany source: Own representation based on DWD TRY climate zones License: Attribution 4.0 International (CC BY 4.0) <strong>geothermal_potential</strong> Spatial distribution of deep geothermal potentials in Germany source: Assessment and Public Reporting of Geothermal Resources in Germany: Review and Outlook License: Attribution 4.0 International (CC BY 4.0) <strong>household_electricity_demand_profiles</strong> Annual profiles in hourly resolution of electricity demand of private households for different household types (singles, couples, other) with varying number of elderly and children.<br> The profiles were created using a bottom-up load profile generator by Fraunhofer IEE developed in the Bachelor's thesis "Auswirkungen verschiedener Haushaltslastprofile auf PV-Batterie-Systeme" by Jonas Haack, Fachhochschule Flensburg, December 2012.<br> The columns are named as follows: "&lt;HH_TYPE_PREFIX&gt;a&lt;PROFILE_ID&gt;", e.g. P2a0000 is the first profile of a couple's household with 2 children. See publication below for the list of prefixes. Values are given in Wh.<br> A related conference paper can be obtained here: http://publica.fraunhofer.de/documents/N-374761.html License: Attribution 4.0 International (CC BY 4.0) <strong>household_heat_demand_profiles</strong> Sample heat time series including hot water and space heating for single- and multi-familiy houses. The profiles were created using the loadprofile generator by Fraunhofer IEE developed in the Master's thesis "Synthesis of a heat and electrical load profile for single and multi-family houses used for subsequent performance tests of a multi-component energy system", Simon Ruben Drauz, RWTH Aachen University, March 2016 License: Attribution 4.0 International (CC BY 4.0) <strong>hydrogen_storage_potential_saltstructures</strong> Potential sites for hydrogen storage in saline structures. The data noted in the source have been modified and will be updated once the original geodata of figure 7.1 in Donadei, S., et al., (2020), p. 7-5. are published. Polygonize and georeference the information on figure 7.1 in Donadei, S., et<br> al., (2020), p. 7-5. Overlay with the original InSpEE-Salzstrukturen data Cut the original InSpEE-Salzstrukturen data to fit the overlayed data Sources: InSpEE-Salzstrukturen, (c) BGR, Hannover, 2015. &amp; Donadei, S., Horváth, B., Horváth, P.-L., Keppliner, J., Schneider, G.-S., &amp; Zander-Schiebenhöfer, D. (2020). Teilprojekt Bewertungskriterien und Potenzialabschätzung. BGR. Informationssystem Salz: Planungsgrundlagen, Auswahlkriterien und Potenzialabschätzung für die Errichtung von Salzkavernen zur Speicherung von Erneuerbaren Energien (Wasserstoff und Druckluft) – Doppelsalinare und flach lagernde Salzschichten: InSpEE-DS. Sachbericht. Hannover: BGR. License: The original data are licensed under the GeoNutzV, see https://sg.geodatenzentrum.de/web_public/gdz/lizenz/geonutzv.pdf <strong>industrial_sites</strong> Information about industrial sites with DSM-potential in Germany from a Master's thesis by Danielle Schmidt. The data set includes own information on the coordinates of every industrial site. source: Schmidt, Danielle. (2019). Supplementary material to the masters thesis: NUTS-3 Regionalization of Industrial Load Shifting Potential in Germany using a Time-Resolved Model [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3613767 License: Attribution 4.0 International (CC BY 4.0) <strong>nep2035_version2021</strong> Data extracted from the German grid development plan - power source: Netzentwicklungsplan Strom 2035 (2021), erster Entwurf | Übertragungsnetzbetreiber (M) CC-BY-4.0 License: Attribution 4.0 International (CC BY 4.0) <strong>pipeline_classification_gas</strong> Parameters for the classification of gas pipelines source: Single parameters extracted from Electricity, Heat and Gas Sector Data for Modelling the German System License: Attribution 4.0 International (CC BY 4.0) <strong>pypsa_eur_sec</strong> Preliminary results from scenario generator pypsa-eur-sec source: own calculation using pypsa-eur-sec fork (https://github.com/openego/pypsa-eur-sec) License: Attribution 4.0 International (CC BY 4.0) <strong>regions_dynamic_line_rating</strong> German regions suitable to model dynamic line rating source: Own representation based on Grundsätze für die Ausbauplanung des Deutschen Übertragungsnetze (2020) License: Attribution 4.0 International (CC BY 4.0) <strong>WZ_definition</strong> Definitions of industrial and commercial branches source: Klassifikation der Wirtschaftszweige (WZ 2008) Extract from Terms of Use: © Statistisches Bundesamt, Wiesbaden 2008 Vervielfältigung und Verbreitung, auch auszugsweise, mit Quellenangabe gestattet. <strong>zensus_households</strong> Dataset describing the amount of people living by a certain types of family-types, age-classes,sex and size of household in Germany in state-resolution. source: Data retrieved from Zensus Datenbank by performing these steps: Search for: "1000A-2029" or choose topic: "Bevölkerung kompakt" Choose table code: "1000A-2029" with title "Personen: Alter (11 Altersklassen)/Geschlecht/Größe desprivaten Haushalts - Typ des privaten Haushalts (nach Familien/Lebensform)" Change setting "GEOLK1" to "Bundesländer (16)" higher resolution "Landkreise und kreisfreie Städte (412)" only accessible after registration. Extract from Terms of Use: © Statistische Ämter des Bundes und der Länder 2021, Vervielfältigung und Verbreitung, auch auszugsweise, mit Quellennachweis gestattet.