GIS-basierte Optimierung – Realisierung des österreichischen Windenergieziels bis 2030

Translated title of the contribution: GIS-based optimization – achieving Austria’s 2030 wind energy target

Robert Gaugl*, Thomas Florian Klatzer, Udo Bachhiesl, Sonja Wogrin, Stefan Jodl

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


In this paper, we take a look at Austria’s renewable energy targets established in the Renewable Energy Expansion Act (EAG), aiming to annually generate an additional 10 TWh of wind power by 2030. We conduct a GIS (geographic information system)-based analysis to determine average wind power density in Austria on a cellular level while considering prohibited regions, such as national parks, where building wind turbines might not be allowed. The calculated expansion potential for all remaining regions of Austria is allocated to the closest corresponding transmission nodes. Furthermore, we suggest an optimization algorithm to geographically distribute the expansion of wind power capacity to applicable transmission nodes. Finally, we conduct a case study to validate the algorithm using historical data on expansion and utilize it to predict an annual scenario for wind power expansion from 2021 to 2030 on a regional level. The total expansion required to achieve the goal of 10 TWh is assessed to be 4 GW based on predefined full load hours while assuming an exponential increase in annually added capacity (from 250 MW in 2021 to 590 MW in 2030).
Translated title of the contributionGIS-based optimization – achieving Austria’s 2030 wind energy target
Original languageGerman
Pages (from-to)590-596
Number of pages7
JournalElektrotechnik und Informationstechnik
Issue number8
Publication statusPublished - Dec 2021


  • wind power
  • renewable energy
  • GIS-based analysis
  • wind power potential
  • Weibull distribution
  • optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this