Assessment of grid optimisation measures for the German transmission grid using open source grid data

Böing, Felix; Murmann, Alexander; Pellinger, Christoph; Bruckmeier, Andreas; Kern, Timo; Mongin, T

doi:10.1088/1742-6596/977/1/012002

Cited by 9 publications

(14 citation statements)

References 2 publications

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“…ISAaR is a model based on the mathematical method of linear optimization with the optimization goal of minimizing overall system cost C. A detailed description of the model is given below. In addition, individual input datasets, model components and application examples are presented in publications like [10][11][12][13][14][15].…”

Section: Multi-energy System Modelmentioning

confidence: 99%

Hourly CO2 Emission Factors and Marginal Costs of Energy Carriers in Future Multi-Energy Systems

Böing

Regett

2019

Energies

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Hourly emission factors and marginal costs of energy carriers are determined to enable a simplified assessment of decarbonization measures in energy systems. Since the sectors and energy carriers are increasingly coupled in the context of the energy transition, the complexity of balancing emissions increases. Methods of calculating emission factors and marginal energy carrier costs in a multi-energy carrier model were presented and applied. The model used and the input data from a trend scenario for Germany up to the year 2050 were described for this purpose. A linear optimization model representing electricity, district heating, hydrogen, and methane was used. All relevant constraints and modeling assumptions were documented. In this context, an emissions accounting method has been proposed, which allows for determining time-resolved emission factors for different energy carriers in multi-energy systems (MES) while considering the linkages between energy carriers. The results showed that the emissions accounting method had a strong influence on the level and the hourly profile of the emission factors. The comparison of marginal costs and emission factors provided insights into decarbonization potentials. This holds true in particular for the electrification of district heating since a strong correlation between low marginal costs and times with renewable excess was observed. The market values of renewables were determined as an illustrative application of the resulting time series of costs. The time series of marginal costs as well as the time series of emission factors are made freely available for further use.

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Section: Multi-energy System Modelmentioning

confidence: 99%

Hourly CO2 Emission Factors and Marginal Costs of Energy Carriers in Future Multi-Energy Systems

Böing

Regett

2019

Energies

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“…The latter is a DC power flow approach, which is based on findings from Van Hertem, Verboomen, Purchala, Belmans, and Kling () and Hagspiel et al (). Details concerning the grid modeling methodology and the underlying data are described in Köppl et al () and in Böing et al (). The modeled energy system consists of (CHP) power plants, storage systems, regionalized demand, RES and heating plants.…”

Section: Energy System Modelingmentioning

confidence: 99%

“…10 This is the opposite effect of what currently happens in redispatch situations in Germany, where emissions are reduced through redispatch, because the dispatch of coal fired power plants in the north is replaced by gas-fired power plants in the south. 11 Böing, Bruckmeier, Kern, Murmann, and Pellinger (2017) define market driven curtailment as a theoretical figure, which is used to quantify the overproduction of RES if grid constraints are neglected (so called copper-plate assumption). 12 The grid expansion methodology and cost calculation are described in detail in Böing et al (2017).…”

Section: Conflict Of Interestmentioning

confidence: 99%

“…11 Böing, Bruckmeier, Kern, Murmann, and Pellinger (2017) define market driven curtailment as a theoretical figure, which is used to quantify the overproduction of RES if grid constraints are neglected (so called copper-plate assumption). 12 The grid expansion methodology and cost calculation are described in detail in Böing et al (2017).…”

Section: Conflict Of Interestmentioning

confidence: 99%

“…While studies concerning the German market acknowledge that the simultaneous increase of demand‐side electrification and variable renewable energy sources (vRES) could increase the stress on the transmission grid, a full quantitative analysis poses a gap in the existing research. In this article, the additional network expansion requirement for Germany is therefore quantified in an iterative simulation procedure (Böing et al, ). This approach is comparable to the analyses in Brown, Ackermann, Tröster, and Schierhorn (), who examine the effect of high vRES penetration on network expansion planning, in a European context.…”

Section: Introductionmentioning

confidence: 99%

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System effects of high demand‐side electrification rates: A scenario analysis for Germany in 2030

Guminski

Böing

Murmann

et al. 2018

WIREs Energy & Environment

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The substitution of fossil fueled final energy consumption through electrical appliances and processes (electrification), in combination with an increased share of emission free electricity production, poses a promising deep decarbonization strategy. To reveal the effect of high demand‐side electrification rates on the transmission grid and electricity supply‐side a case‐study analysis for the German market is performed. A reference scenario with low demand‐side electrification and low grid congestion is compared to high demand‐side electrification scenarios with two different shares of renewable electricity production of total electrical load: “Elec61” and “Elec75.” The analysis shows that an increase of the electrical load from ~500 TWh to ~760 TWh leads to heightened stress for the transmission grid and therefore more curtailment in both electrification scenarios. In Elec61, which exhibits the same share of renewable electricity production as the reference scenario, the integration of 19 TWh of flexible power‐to‐heat in district heating networks reduces the market driven curtailment of renewable feed‐in, highlighting the value of flexible electrical loads for the integration of variable renewable energy sources. Although a drastic increase of installed renewable electricity production capacity occurs in Elec61 (+109 GW) and Elec75 (+178 GW) compared to the reference scenario, fossil fueled power plants are still being dispatched frequently in times of high electrical load and low renewable energy feed. In the examined scenarios, deep decarbonization through electrification was not possible because the decrease of the CO2‐coefficient of power generation resulting from an increase in the installed capacity of variable renewable energy sources was insufficient. This article is categorized under: Wind Power > Systems and Infrastructure Energy and Climate > Systems and Infrastructure Energy Systems Analysis > Systems and Infrastructure

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Comparison methods of energy system frameworks, models and scenario results

Prina

Nastasi

Groppi

et al. 2022

Renewable and Sustainable Energy Reviews

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Assessment of grid optimisation measures for the German transmission grid using open source grid data

Cited by 9 publications

References 2 publications

Hourly CO2 Emission Factors and Marginal Costs of Energy Carriers in Future Multi-Energy Systems

Hourly CO2 Emission Factors and Marginal Costs of Energy Carriers in Future Multi-Energy Systems

System effects of high demand‐side electrification rates: A scenario analysis for Germany in 2030

Comparison methods of energy system frameworks, models and scenario results

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