Climate Exposure Maps and Distributions of Austrian Power Grid Overhead Lines
The data contains figures (jpg data format) displaying the maps and cumulative curves of overhead line length vs. 41 climate indicators
Context and methodology
Climate indicator data were taken from the ROBINE dataset
Power grid topology was taken from OpenStreetMap (extraction date 04/03/2026)
Figures were created in Python using libraries like osmnx, rasterio, geopandas, matploblib etc.
Technical details
Both "absolute" and "relative" figures are shown:
"absolute" refers to global warming levels (GWL) 1,2,3,4 shown relative to the pre-industrial reference period
"relative" refers to GWL-2,3,4 relative to GWL-1 (2001 - 2020, historical period)
"Distributions" and "images" are shown:
The naming for distributions contains:
indicator number and indicator name
"all" referring to figures containing both high- and low-voltage grid lines
"cumulative" referring to the fact that cumulative distributions were generated
The naming for "images" contains:
"combined" to indicate that plot for different GWLs were combined into one plot
indicator name
"all" referring to figures containing both high- and low-voltage grid lines
Scientific paper is in the making
Results
The results show that exposure of overhead lines to weather phenomena like wet snowfall is expected to decrease, while it is going to stagnate or increase only slightly for extreme storm days and wind gusts. In contrast, the risk due to heavy precipitation, thunderstorms and heat is expected to increase significantly.
Further details
Not all climate indicators are relevant for power grid overhead lines, as the underlying climate dataset was developed for a wide range of energy infrastructure components.
