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Institute of Energy and Climate Research

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Renewable Energy, Grid and Storage

Transmission grid in GermanyGerman transmission grid

In order to achieve the emission reduction targets of the EU, an increased share of power generation from renewable energy sources (RES) is required. However, many challenges remain which must be solved before a stable future energy scheme is possible:

  • Load mismatch between RES generators and consumers
  • Optimal infrastructure
  • Overcoming grid limitations

In order to overcome these challenges, our proposed Power-to-X energy supply scheme would utilize hydrogen as an energy storage and carrier mechanism, thus allowing for increased demand flexibility by coupling the electricity sector with the transportation and industrial sectors. However, simulating the future behavior of this scheme requires high temporally and spatially resolved models which provide:

  • Optimally distributed RES capacities
  • Detailed RES generation profiles considering a number of climate scenarios
  • Estimation of sector-dependent energy demand profiles
  • Realistic power flows over the electricity network considering market design

Built upon a general python foundation, these models will also make use of a number of open source tools to address these topics. QGIS will provide a GIS visualization and manipulation toolbox, complete physical simulations of RES systems will be utilized, and various Python modules will be employed for modelling of the electricity grid. Additionally, in order to handle the large computation and data-retention requirements of these analyses, an in-house computer cluster will be used.



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