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

Matthias Greiml, Florian Fritz, Josef Steinegger, Theresa Schlömicher, Nicholas Wolf Williams, Negar Zaghi and Thomas Kienberger
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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

Energies, 2022, vol. 15, issue 10, 1-33

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.

Keywords: 100% renewable energy sources (RESs); multi-energy system (MES) modelling; multi-energy system (MES) simulation; hybrid grid; national multi-energy system (MES) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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