A Multi-Model Approach to Investigate Security of Supply in the German Electricity Market

Hladik, Dirk; Fraunholz, Christoph; Manz, Pia; Kühnbach, Matthias; Kunze, Robert

doi:10.1109/eem.2018.8469980

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…In longer-term power system analysis, future generation capacity requirements to ensure GA are determined using fundamental models (Hladik et al 2018;ENTSO-E 2021). Here, the interplay between market prices and generation investments and desinvestments is another key element in addition to power infeed and electricity demand simulations.…”

Section: Guerreromentioning

confidence: 99%

Assessment of Generation Adequacy Taking into Account the Dependence of the European Power System on Natural Gas

2023

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Section: Guerreromentioning

confidence: 99%

Assessment of Generation Adequacy Taking into Account the Dependence of the European Power System on Natural Gas

2023

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“…When it is necessary to combine the advantages of complementary models for a broader focus and to cover a larger part of the energy system, model coupling may be appropriate [76]. Models are coupled by integrating one model's output into another model's calculations.…”

Section: Multi-model Energy System Modelling and Model Comparison Appmentioning

confidence: 99%

Development of Scenarios for a Multi-Model System Analysis Based on the Example of a Cellular Energy System

et al. 2020

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Scenario analysis combined with system and market modelling is a well-established method to evaluate technological and societal developments and their impacts on future energy pathways. This paper presents a process-oriented method for developing consistent energy scenarios using multiple energy system models. Its added value is that the developed energy scenarios are consistent in a multi-model environment and practicable for a broader target group from scientists to practitioners. The scenarios consist of comprehensive storylines and systematically defined quantitative parameters. Following a step-by-step process, a condensed set of overlapping descriptors is generated and used to define the scenarios in a consistent parameter matrix. The set of descriptors allow consistent and comparable outputs independent of model-specific characteristics. The corresponding quantitative parameters can be used by diverse energy system tools. Using multiple models, a team of researchers can explore questions from differing points of view. In an example study, we apply the method to develop scenarios in the context of a cellular energy system. This approach enables the development of scenarios that provide a consistent basis for both stakeholder discourse and multi-model system analysis.

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“…The coupling of the four models described above is illustrated in Figure 1. This figure and the coupling procedure have first been introduced in [25]. However, for the sake of completeness, we briefly recite the main model coupling steps in the following.…”

Section: Model Couplingmentioning

confidence: 99%

Insights on Germany’s Future Congestion Management from a Multi-Model Approach

et al. 2020

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In Germany, the political decision to phase out nuclear and coal-fired power as well as delays in the planned grid extension are expected to intensify the current issue of high grid congestion volumes. In this article, we investigate two instruments which may help to cope with these challenges: market splitting and the introduction of a capacity mechanism. For this purpose, we carry out a comprehensive system analysis by jointly applying the demand side models FORECAST and eLOAD, the electricity market model PowerACE and the optimal power flow model ELMOD. While a German market splitting has a positive short-term impact on the congestion volumes, we find the optimal zonal delimination determined for 2020 to become outdated by 2035 resulting in new grid bottlenecks. Yet, readjusting the zonal configuration would lower the ability of the market split to provide regional investment incentives. Introducing a capacity mechanism with a congestion indicator allows allocating new power plants in regions with higher electricity demand. Consequently, we find the required congestion management to be substantially reduced in this setting. However, given the large amount of design parameters, any capacity mechanism needs to be carefully planned before its introduction to avoid new inefficiences on the market side.

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A Multi-Model Approach to Investigate Security of Supply in the German Electricity Market

Cited by 4 publications

References 7 publications

Assessment of Generation Adequacy Taking into Account the Dependence of the European Power System on Natural Gas

Assessment of Generation Adequacy Taking into Account the Dependence of the European Power System on Natural Gas

Development of Scenarios for a Multi-Model System Analysis Based on the Example of a Cellular Energy System

Insights on Germany’s Future Congestion Management from a Multi-Model Approach

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