Research project ReStEP
Energy system modelling to optimise the expansion and use of energy supply infrastructures
In order to make the best decisions for a sustainable and efficient energy future, it is helpful to model the energy supply regionally and holistically at district level. Energy system models are valuable tools for this. They take into account all relevant aspects of the energy supply, from generation and transport to consumption, and make it possible to analyse and understand different scenarios and their effects on the energy supply. In municipal heat planning, for example, decision-makers can use geoinformation systems and energy system models to make well-founded, holistic decisions that lead to a sustainable, reliable and cost-efficient energy supply. Against this background, an energy system model for the district of Wesermarsch in north-west Lower Saxony is being developed and applied as part of the ReStEP research project (funded by the Lower Saxony Ministry of Science and Culture).
Research project ReStEP | |
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Duration | March 2023 to August 2024 |
Funded by | Lower Saxony Ministry of Science and Culture; funded by the "Top-level research for Lower Saxony" programme |
Project participants | - Jade Hochschule
- Institute of Networked Energy Systems
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The specific aim of the project is to analyse the long-term energy supply in the district of Wesermarsch over a period of up to 30 years on the basis of the REMix modelling tool. By taking specific regional data into account, the modelling tool developed at the DLR can be used for the first time to make concrete statements about the development of a district. Practical recommendations for action are to be derived based on the results of the modelling. For example, energy flows and energy generation are to be optimised through cross-sector integration.
One of the main tasks of the ReStEP project team at the Institute of Networked Energy Systems is to develop model-based energy supply scenarios. To this end, various scenarios are developed in consultation with local stakeholders in order to depict possible future developments in the district's energy supply. This includes the integration of renewable energies, storage technologies and alternative energy sources.
Another focus of the work is the integration of GIS data to visualise regional electricity generation potential. To this end, the project participants are integrating the model results into a geographical information system to support decision-making. This means that a realistic assessment of the need for new energy infrastructure can be presented for the regional potential for wind and solar energy at the same time.
