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Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution

Author

Listed:
  • Matthias Greiml

    (Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria)

  • Florian Fritz

    (Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria)

  • Josef Steinegger

    (Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria)

  • Theresa Schlömicher

    (Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria)

  • Nicholas Wolf Williams

    (Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria)

  • Negar Zaghi

    (Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria)

  • Thomas Kienberger

    (Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria)

Abstract

The European Union and the Austrian government have set ambitious plans to expand renewable energy sources and lower carbon dioxide emissions. However, the expansion of volatile renewable energy sources may affect today’s energy system. To investigate future challenges in Austria’s energy system, a suitable simulation methodology, temporal and spatially resolved generation and consumption data and energy grid depiction, is necessary. In this paper, we introduce a flexible multi-energy simulation framework with optimization capabilities that can be applied to a broad range of use cases. Furthermore, it is shown how a spatially and temporally resolved multi-energy system model can be set up on a national scale. To consider actual infrastructure properties, a detailed energy grid depiction is considered. Three scenarios assess the potential future energy system of Austria, focusing on the power grid, based on the government’s renewable energy sources expansion targets in the year 2030. Results show that the overwhelming majority of line overloads accrue in Austria’s power distribution grid. Furthermore, the mode of operation of flexible consumer and generation also affects the number of line overloads as well.

Suggested Citation

  • Matthias Greiml & Florian Fritz & Josef Steinegger & Theresa Schlömicher & Nicholas Wolf Williams & Negar Zaghi & Thomas Kienberger, 2022. "Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution," Energies, MDPI, vol. 15(10), pages 1-33, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3581-:d:815095
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    References listed on IDEAS

    as
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    Cited by:

    1. Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
    2. Qu, Chunzi & Bang, Rasmus Noss, 2024. "European Grid Development Modeling and Analysis: Established Frameworks, Research Trends, and Future Opportunities," Discussion Papers 2024/11, Norwegian School of Economics, Department of Business and Management Science.

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