Modellierung und Optimierung des österreichischen Energiesystems

Translated title of the contribution: Modeling and optimization of the Austrian energy system

Josef Steinegger

Research output: ThesisMaster's Thesis

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In the federal government's #mission2030, Austria is committed to international climate goals and an active climate protection and energy policy. Within these climate goals, the total net electricity consumption in Austria is planned to be covered by 100% renewable energy sources by 2030. To achieve this goal, the expansion of renewable energy sources will be essential. The aim of the work is to develop a spatially and temporally resolved data model of the Austrian energy system, which should serve as the basis for subsequent load flow calculations and optimization tasks. The data processing methodology and the integration of the processed data into the existing, cross-energy load flow calculation program HyFlow, will be dealt with in more detail. To answer the research questions, research was carried out on spatially and temporally resolved network data options and on renewable expansion targets. The local allocation of the energy data was carried out by dividing the areas using a cellular approach based on a Voronoi diagram. The resulting areas were then calibrated with temporally resolved residual loads and load profiles. HyFlow has been expanded with the addition of a new operating strategy that uses a market-oriented optimizer to carry out cross-energy optimization based on energy prices. With the help of the processed energy data, sample regions were simulated and evaluated using a market-oriented optimization approach. With this newly integrated operating strategy, it is now possible to carry out regional optimizations in addition to global optimization (Optimal Power Flow) in HyFlow. One result of this work is an image of the spatially and temporally resolved Austrian energy system. The market-oriented optimization made it possible to demonstrate the additional flexibility options that emanate from sector couplings such as power to heat, gas to heat, and/or power or storage in a multiple energy system. To counteract the increasing fluctuating producer and consumer mix, it can be assumed that the need for flexibility options will also increase in the future. Another result of this work is that through the integration of sector couplings in energy systems, a broad flexibility can be achieved, which can counteract the fluctuating energy generation from renewable sources in a stabilizing way.
Translated title of the contributionModeling and optimization of the Austrian energy system
Original languageGerman
Awarding Institution
  • Montanuniversität
  • Kienberger, Thomas, Supervisor (internal)
  • Greiml, Matthias, Co-Supervisor (internal)
Award date25 Jun 2021
Publication statusPublished - 2021

Bibliographical note

embargoed until null


  • Austrian energy network
  • Energy Hub
  • Multi Energy System
  • Market-oriented optimization
  • Voronoi diagram
  • #mission2030
  • Expansion of renewable energies

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