Data Citation:

Christoph Winkler, Kristina Dabrock, Serhiy Kapustyan, Craig Hart, Heidi Heinrichs, Jann Michael Weinand, Jochen Linßen, Detlef Stolten (2024) “High-Resolution Rooftop-PV Potential Assessment for a Resilient Energy System in Ukraine.”, Available from: https://doi.org/10.48550/arXiv.2412.06937

File description:

capacity_and_energy_attribute_metadata_WinklerDabrockKapustyanEtAl2024.yaml
This is a meta file containing flow text explanations of the attribute names used in below ‘capacity_and_energy_data_GID_X_level_WinklerDabrockKapustyanEtAl2024.csv/.shp’. The shapefile format requires attributes of max. 10 characters which makes tha attributes/column names hard to read.

capacity_and_energy_data_GID_X_level_WinklerDabrockKapustyanEtAl2024.csv/.shp
This file contains the capacity and long-run average annual energy potential for every region, separately for every combination of azimuth and roof tilt. Also, it contains the long-run average full-load hours (FLH), levelized cost of electricity (LCOE) and additional region information.
The “X” in above filename stands for the administrative level as defined by GADM.org. In the case of Ukraine, GID_1 corresponds to oblasts (provinces) whereas GID_2 corresponds to raions (districts/cities). The data at GID_2 level is available also as geospatial data in .shp format with district polygons.

Energy_capacity_factor_timeseries_per_GID_2_AllAzimuths_yearX.csv
This file contains the hourly capacity factor timeseries of the rooftop PV generation for every respective year, see “X” in filename. The column name e.g. “UKR.23.11_1_E_15.0deg_2000” defines the district (see ‘capacity_and_energy_data_GID_2_level_WinklerDabrockKapustyanEtAl2024.csv/.shp’ for matching the GID_2 codes of needed), the azimuth, the average roof tilt in degrees and the year, each separated by underscore. The 8760 values from 0-1.0 for every system configuration describe the output capacity factor of the respective system in the respective hour of the year.

Juelich Systems Analysis (ICE-2)
The research focus of Jülich Systems Analysis (ICE-2) is the unbiased, scientific investigation of technologies, technology paths, value chains and market ramp-ups in future energy systems, considering material requirements, sector coupling and framework conditions in policy and society. The addressees are science, decision-makers from politics, industry and social actors. To answer the research questions, Jülich Systems Analysis creates complex models to analyze and evaluate technologies, infrastructures and resources for future energy systems using an open-science approach. This is done in an interdisciplinary approach that considers the interaction of energy technologies with economic, ecological and social systems and thus focuses on security of supply, economic efficiency and environmental protection. An integral part of the research work is the creation of a consistent and sustainably usable data basis in accordance with the open data principle.