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MathEnergy – Mathematical Key Technologies for Evolving Energy Grids

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Mathematical Modeling, Simulation and Optimization for Power Engineering and Management

Part of the book series: Mathematics in Industry ((MATHINDUSTRY,volume 34))

Abstract

For a sustainable and CO\(_2\) neutral power supply, the entire energy cycles for power, gas and heating grids have to be taken into account simultaneously. Despite rapid progress, the energy industry is insufficiently equipped for the superordinate planning, monitoring and control tasks, based on increasingly large and coupled network simulation models. The German MathEnergy project aims to overcome these shortcomings by developing selected mathematical key technologies for energy networks and respective software. This chapter gives an overview of MathEnergy by discussing selected new developments related to model order reduction for gas networks, state estimation for gas and power networks, as well as cross-sectoral modeling, simulation and ensemble analysis. Several new theoretical results as well as related software prototypes are introduced. Results for selected gas and power networks are presented, including a first version of the partDE-Hy demonstrator for analysis of power-to-gas scenarios.

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Acknowledgements

This work is supported by the German Federal Ministry for Economic Affairs and Energy, in the joint project: “MathEnergy – Mathematical Key Technologies for Evolving Energy Grids” with its subprojects 0324019A, 0324019B, 0324019E, and 0324019F. The authors thank Philipp Spelten (Fraunhofer SCAI) for providing locations and dimensions of the PtG plants.

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Authors and Affiliations

  1. SCAI: Fraunhofer SCAI, 53754, Sankt Augustin, Germany

    Tanja Clees, Anton Baldin, Bernhard Klaassen, Lialia Nikitina & Igor Nikitin

  2. Bonn-Rhine-Sieg University of Applied Sciences, 53754, Sankt Augustin, Germany

    Tanja Clees

  3. MPI: Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, 39106, Magdeburg, Germany

    Peter Benner, Sara Grundel & Christian Himpe

  4. ITWM: Fraunhofer Institute for Industrial Mathematics ITWM, Fraunhofer-Platz 1, 67663, Kaiserslautern, Germany

    Ferdinand Küsters & Andreas Wirsen

  5. UTrier: Universität Trier, Universitätsring 15, 54296, Trier, Germany

    Nicole Marheineke & Nadine Stahl

  6. HUB: Humboldt University of Berlin, Unter den Linden 6, 10099, Berlin, Germany

    Jonas Pade, Christian Strohm & Caren Tischendorf

Authors
  1. Tanja Clees
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  2. Anton Baldin
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  3. Peter Benner
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  4. Sara Grundel
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  5. Christian Himpe
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  6. Bernhard Klaassen
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  7. Ferdinand Küsters
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  8. Nicole Marheineke
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  9. Lialia Nikitina
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  10. Igor Nikitin
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  11. Jonas Pade
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  12. Nadine Stahl
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  13. Christian Strohm
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  14. Caren Tischendorf
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  15. Andreas Wirsen
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Correspondence to Tanja Clees .

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Editors and Affiliations

  1. Department of Mathematics, Scientific Computing Research Group, University of Mannheim, Mannheim, Germany

    Simone Göttlich

  2. Department of Mathematics, Group Continuous Optimization, RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany

    Michael Herty

  3. Computing Centre (URZ), Unit Technology Transfer and Cooperation, Heidelberg University, Heidelberg, Germany

    Anja Milde

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Clees, T. et al. (2021). MathEnergy – Mathematical Key Technologies for Evolving Energy Grids. In: Göttlich, S., Herty, M., Milde, A. (eds) Mathematical Modeling, Simulation and Optimization for Power Engineering and Management. Mathematics in Industry, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-62732-4_11

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