Integrated modelling of variable renewable energy-based power supply in Europe

By Hans Christian Gils, Y. Scholz, T. Pregger, Diego Luca de Tena, D. Heide. 2017

322 citations recorded by the source corpus.

Variable renewable energy (VRE) resources increasingly add fluctuations to power systems. The required types and capacities of balancing measures, amounts of curtailment, and costs associated with system integration need to be assessed for advising policy makers and economic actors. Previous studies mostly exclude storage from model-endogenous capacity expansion and omit concentrated solar power (CSP) completely. In this study, we stress the need for grid and backup capacity by investigating an integrated market in Europe, allowing for additional short-term as well as long-term storage and considering CSP as a dispatchable backup option. The Renewable Energy Mix (REMix) energy system model is introduced and applied to assess the capacity expansion and hourly dispatch at various levels of photovoltaic and wind power penetration. The model results demonstrate combinations of spatial and temporal balancing measures that enable net photovoltaic and wind supply shares of 60% and 70% of the annual demand, respectively. The usage of storage and grid can keep curtailments below 20% of the demand for theoretical VRE shares of up to 100%. Furthermore, we determine that the VRE supply structure has a strong impact on the least-cost allocation of power plants across Europe but only a limited effect on supply costs.

Subfields: Electrical and Electronic Engineering, Energy Engineering and Power Technology

View Paper: https://www.semanticscholar.org/paper/432ff442647325aa53defc54bfc1ea83b21e8965

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In Electrical and Electronic Engineering

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Citations in the corpus

On the History and Future of 100% Renewable Energy Systems Research (2022, methodology): “In addition to these research activities, the DLR is broadly investigating 100% RE system analyses with its optimization model REMix [77], [78], [126].”
Classification and challenges of bottom-up energy system models - A review (2020, background): “DESSTinEE [82] by the Imperial College London [83], Ficus [84,85] by the Technische Universit€ at München [86] and REMix [87] created by the German Aerospace Center (DLR) [88].”
Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints (2018, unknown): “to assess the robustness of the numerical ﬁndings. Such an analysis usually addresses only a few key parameters, but is not central to the understanding of the workings of the system. For instance in [10], the authors model a renewable-based European electricity system including storage options and ”