Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution
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...
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MDPI AG
2022-05-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/15/10/3581 |
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author | Matthias Greiml Florian Fritz Josef Steinegger Theresa Schlömicher Nicholas Wolf Williams Negar Zaghi Thomas Kienberger |
author_facet | Matthias Greiml Florian Fritz Josef Steinegger Theresa Schlömicher Nicholas Wolf Williams Negar Zaghi Thomas Kienberger |
author_sort | Matthias Greiml |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T03:58:24Z |
format | Article |
id | doaj.art-ced94644a4104ba7b96a6e97fcfc0c55 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T03:58:24Z |
publishDate | 2022-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-ced94644a4104ba7b96a6e97fcfc0c552023-11-23T10:50:09ZengMDPI AGEnergies1996-10732022-05-011510358110.3390/en15103581Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal ResolutionMatthias Greiml0Florian Fritz1Josef Steinegger2Theresa Schlömicher3Nicholas Wolf Williams4Negar Zaghi5Thomas Kienberger6Energy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, AustriaEnergy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, AustriaEnergy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, AustriaEnergy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, AustriaEnergy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, AustriaEnergy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, AustriaEnergy Network Technology, Montanuniversitaet of Leoben, 8700 Leoben, AustriaThe 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.https://www.mdpi.com/1996-1073/15/10/3581100% renewable energy sources (RESs)multi-energy system (MES) modellingmulti-energy system (MES) simulationhybrid gridnational multi-energy system (MES) |
spellingShingle | Matthias Greiml Florian Fritz Josef Steinegger Theresa Schlömicher Nicholas Wolf Williams Negar Zaghi Thomas Kienberger Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution Energies 100% renewable energy sources (RESs) multi-energy system (MES) modelling multi-energy system (MES) simulation hybrid grid national multi-energy system (MES) |
title | Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution |
title_full | Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution |
title_fullStr | Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution |
title_full_unstemmed | Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution |
title_short | Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution |
title_sort | modelling and simulation optimization of austria s national multi energy system with a high degree of spatial and temporal resolution |
topic | 100% renewable energy sources (RESs) multi-energy system (MES) modelling multi-energy system (MES) simulation hybrid grid national multi-energy system (MES) |
url | https://www.mdpi.com/1996-1073/15/10/3581 |
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