Modelling, designing and operation of grid-based multi-energy systems

Greiml, Matthias; Traupmann, Anna; Sejkora, Christoph; Kriechbaum, Lukas; Böckl, Benjamin; Pichler, Patrick; Kienberger, Thomas

doi:10.5278/ijsepm.3598

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…Böckl et al [16] introduces a previous version of the MES simulation framework HyFlow, which is utilized for various research questions, such as [17][18][19]. By applying HyFlow, potential fields of improvements became visible, since the previous HyFlow version is not capable of addressing issues, such as:…”

Section: Mes Simulation and Optimization Approachesmentioning

confidence: 99%

“…APG provides detailed technical data for the transmission grid, which are used to parametrize the 220 and 380 kV grid [43]. The 110 kV grid is parametrized with literature values for resistance, reactance, and total line charging susceptance, as well as other already published projects [17,18,44,45], based on the maximum transmission current in the transmission grid plan.…”

Section: Power Gridmentioning

confidence: 99%

“…The pipeline routing and length of national network level one (national transmission grid) and two (national distribution grid) can be derived from [47,48]. The diameter and pressure level are determined using statistical data [49], as well as information from utilities provided by request and previous projects [17]. Wall roughness is parameterized with the wall roughness of welded and seamless steel tubes [50].…”

Section: Natural Gas Gridmentioning

confidence: 99%

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

Greiml¹,

Fritz²,

Steinegger³

et al. 2022

Energies

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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, i.e., 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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Section: Mes Simulation and Optimization Approachesmentioning

confidence: 99%

Section: Power Gridmentioning

confidence: 99%

Section: Natural Gas Gridmentioning

confidence: 99%

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

Greiml¹,

Fritz²,

Steinegger³

et al. 2022

Energies

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“…Noteworthy, they include heavy duty transport demand and lay out climate neutrality by 2050. Kienberger et al [29] optimise various scenarios for the future of Oberösterreich, an Austrian Federal State with an energy consumption of around 35 TWh and 1.5 million inhabitants. They demonstrate that the existing infrastructure in the region is almost sufficient for a transition of the energy system towards full renewable energy supply if sector coupling is facilitated by conversion technologies such as heat pumps and power-to-gas are applied to deliver overall energy efficiency as well as flexibility.…”

Section: Introductionmentioning

confidence: 99%

Urban-Rural Cooperation for an Economy with 100% Renewable Energy and Climate Protection towards 2030 - the Region Berlin-Brandenburg

Traber¹,

Fell

Breyer

2023

IJSEPM

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The German states of Berlin and Brandenburg are committed to the Paris Agreement with the goal of keeping global warming safely below 2 degrees to protect the Earth system from uncontrollable warming. This claim implies targeting 1.5 degrees to keep a reasonable chance of realisation. Renewable energies are the only sources that can be considered to accomplish this task. We use a linear cost minimization model for the Berlin-Brandenburg region to show how a 100% renewable energy target is possible without relying on contributions from other regions. We find that a 100% renewable energy system based predominantly on photovoltaics on buildings and on green hydrogen production, and a transition essentially to electricity for all purposes, is feasible in time and at a reasonable cost below that of fossil-nuclear energy. Hydrogen storage technology appears as one of the key cost determinants, while a sensible integration of German and European transition systems potentially limits costs to the lowest levels ever realized in real terms.

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Analysing sector coupling technologies for Re‐purposing coal‐fired power plants–Case study for the ENTSO‐E grid

Traupmann

Greiml

Steinegger

et al. 2022

IET Energy Syst Integration

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The high emission intensity of coal-fired power plants (CFPP) leads to the inevitable next step towards energy transition, the coal phase-out. One challenge is the subsequent use of still-functioning assets. Re-purposing these assets avoids value loss and creates new opportunities for coal regions. Therefore, this study considers the sector coupling technologies Power-to-Gas (PtG) and Gas-to-Power (GtP) as re-purposing options. First, a multi-variable Mixed-Integer Linear Programming optimisation model is established. This model includes the participation of the plant in the current (2020) and future (2030, 2040) electricity and natural gas spot-markets and the balancing power market while fulfilling existing contracts, and allows for determining the re-purposing technologies' operating profiles. By applying a techno-economic analysis, investment recovery periods of the considered re-purposing technologies are assessed, which range between two (GtP) and over ten (PtG) years. A sensitivity analysis accounting for current energy prices and technological advancements reveals capital expenditure has the highest impact on this Return-On-Investment period. Additionally, a case study considering the Austrian energy grids is performed to account for the grid impact of integrating these technologies at former CFPP sites. Thus, it is found that the investigated sector coupling technologies have the potential to compensate for grid congestions even in profit-optimised operation. K E Y W O R D Scoal phase-out, combined cycle gas turbine, energy markets, mixed-integer linear programming, power-to-gas | INTRODUCTIONCoal represents the most common fossil fuel resource and is the largest source for electricity generation, providing about 37% of the global electricity demand [1]. Additionally, coal electricity generation is considered reliable and cost-effective [2]. However, since coal is also the most carbon-intensive fossil fuel, currently accounting for more than 30% of global CO 2 emissions [3], coal-fired electricity generation is under political and economic pressure [2]. Therefore, the coal phaseout [4] is an inevitable next step for European countries to rapidly achieve climate neutrality of the electrical energy system [4]. To remain within the carbon budget of the Paris Agreement [5], 72% of the CFPPs operating in 2020 within the European Union (EU) have to be shut down by 2025 [4, 6]. While more than 30% of the European countries already have coal-free power generation, the coal phase-out is not even under discussion in 24% of the European countries. A more detailed description of the coal phase-out trends in Europe can be seen in Figure 1. According to the individual national phaseout plans, 63% of the European countries are expected to generate coal-free electricity by 2030 [7].The coal phase-out, however, leads to the early closure of existing coal-fired power plant (coal-fired power plants (CFPP)) sites before they reach end-of-life. Thus, the coal phase-out entails the risk of leaving valuable assets (e.g. infr...

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Modelling, designing and operation of grid-based multi-energy systems

Cited by 4 publications

References 2 publications

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

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

Urban-Rural Cooperation for an Economy with 100% Renewable Energy and Climate Protection towards 2030 - the Region Berlin-Brandenburg

Analysing sector coupling technologies for Re‐purposing coal‐fired power plants–Case study for the ENTSO‐E grid

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