LAPSE:2023.13070
Published Article

LAPSE:2023.13070
Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution
February 28, 2023
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.
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.
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Keywords
100% renewable energy sources (RESs), hybrid grid, multi-energy system (MES) modelling, multi-energy system (MES) simulation, national multi-energy system (MES)
Subject
Suggested Citation
Greiml M, Fritz F, Steinegger J, Schlömicher T, Wolf Williams N, Zaghi N, Kienberger T. Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution. (2023). LAPSE:2023.13070
Author Affiliations
Greiml M: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Fritz F: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Steinegger J: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Schlömicher T: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Wolf Williams N: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Zaghi N: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria [ORCID]
Kienberger T: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Fritz F: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Steinegger J: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Schlömicher T: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Wolf Williams N: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Zaghi N: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria [ORCID]
Kienberger T: Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, Austria
Journal Name
Energies
Volume
15
Issue
10
First Page
3581
Year
2022
Publication Date
2022-05-13
ISSN
1996-1073
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Original Submission
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PII: en15103581, Publication Type: Journal Article
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LAPSE:2023.13070
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https://doi.org/10.3390/en15103581
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Feb 28, 2023
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