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

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@article{2ed2b3ca00da493096ef20f4ec3e6146,
title = "Modelling and Simulation/Optimization of Austria{\textquoteright}s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution",
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{\textquoteright}s energy system. To investigate future challenges in Austria{\textquoteright}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{\textquoteright}s renewable energy sources expansion targets in the year 2030. Results show that the overwhelming majority of line overloads accrue in Austria{\textquoteright}s power distribution grid. Furthermore, the mode of operation of flexible consumer and generation also affects the number of line overloads as well.",
author = "Matthias Greiml and Florian Fritz and Josef Steinegger and Theresa Schl{\"o}micher and {Wolf Williams}, Nicolas and Negar Zaghi and Thomas Kienberger",
year = "2022",
month = may,
day = "13",
doi = "10.3390/en15103581",
language = "English",
volume = "15.2022",
journal = "Energies : open-access journal of related scientific research, technology development and studies in policy and management",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "10",

}

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TY - JOUR

T1 - Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution

AU - Greiml, Matthias

AU - Fritz, Florian

AU - Steinegger, Josef

AU - Schlömicher, Theresa

AU - Wolf Williams, Nicolas

AU - Zaghi, Negar

AU - Kienberger, Thomas

PY - 2022/5/13

Y1 - 2022/5/13

N2 - 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.

AB - 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.

U2 - 10.3390/en15103581

DO - 10.3390/en15103581

M3 - Article

VL - 15.2022

JO - Energies : open-access journal of related scientific research, technology development and studies in policy and management

JF - Energies : open-access journal of related scientific research, technology development and studies in policy and management

SN - 1996-1073

IS - 10

M1 - 3581

ER -