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Pandapipes: An Open-Source Piping Grid Calculation Package for Multi-Energy Grid Simulations

Author

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  • Daniel Lohmeier

    (Department of Grid Planning and Grid Operation, Fraunhofer Institute for Energy Economics and Energy System Technology IEE, 34119 Kassel, Germany
    Department of Energy Management and Power System Operation, University of Kassel, 34121 Kassel, Germany)

  • Dennis Cronbach

    (Department of Grid Planning and Grid Operation, Fraunhofer Institute for Energy Economics and Energy System Technology IEE, 34119 Kassel, Germany)

  • Simon Ruben Drauz

    (Department of Grid Planning and Grid Operation, Fraunhofer Institute for Energy Economics and Energy System Technology IEE, 34119 Kassel, Germany
    Department of Energy Management and Power System Operation, University of Kassel, 34121 Kassel, Germany)

  • Martin Braun

    (Department of Grid Planning and Grid Operation, Fraunhofer Institute for Energy Economics and Energy System Technology IEE, 34119 Kassel, Germany
    Department of Energy Management and Power System Operation, University of Kassel, 34121 Kassel, Germany)

  • Tanja Manuela Kneiske

    (Department of Grid Planning and Grid Operation, Fraunhofer Institute for Energy Economics and Energy System Technology IEE, 34119 Kassel, Germany)

Abstract

The increasing complexity of the design and operation evaluation process of multi-energy grids (MEGs) requires tools for the coupled simulation of power, gas and district heating grids. In this work, we analyze a number of applicable tools and find that most of them do not allow coupling of infrastructures, oversimplify the grid model or are based on inaccessible source code. We introduce the open source piping grid simulation tool pandapipes that—in interaction with pandapower—addresses three crucial criteria: clear data structure, adaptable MEG model setup and performance. In an introduction to pandapipes, we illustrate how it fulfills these criteria through its internal structure and demonstrate how it performs in comparison to STANET ® . Then, we show two case studies that have been performed with pandapipes already. The first case study demonstrates a peak shaving strategy as an interaction of a local electricity and district heating grid in a small neighborhood. The second case study analyzes the potential of a power-to-gas device to provide flexibility in a power grid while considering gas grid constraints. These cases show the importance of performing coupled simulations for the design and analysis of future energy infrastructures, as well as why the software should fulfill the three criteria.

Suggested Citation

  • Daniel Lohmeier & Dennis Cronbach & Simon Ruben Drauz & Martin Braun & Tanja Manuela Kneiske, 2020. "Pandapipes: An Open-Source Piping Grid Calculation Package for Multi-Energy Grid Simulations," Sustainability, MDPI, vol. 12(23), pages 1-39, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9899-:d:451659
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    References listed on IDEAS

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    2. Matthias Greiml & Florian Fritz & Josef Steinegger & Theresa Schlömicher & Nicholas Wolf Williams & Negar Zaghi & Thomas Kienberger, 2022. "Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution," Energies, MDPI, vol. 15(10), pages 1-33, May.
    3. Lyden, A. & Brown, C.S. & Kolo, I. & Falcone, G. & Friedrich, D., 2022. "Seasonal thermal energy storage in smart energy systems: District-level applications and modelling approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Jan Vysocký & Ladislav Foltyn & Dejan Brkić & Renáta Praksová & Pavel Praks, 2022. "Steady-State Analysis of Electrical Networks in Pandapower Software: Computational Performances of Newton–Raphson, Newton–Raphson with Iwamoto Multiplier, and Gauss–Seidel Methods," Sustainability, MDPI, vol. 14(4), pages 1-12, February.
    5. Yifei Lu & Thiemo Pesch & Andrea Benigni, 2021. "Simulation of Coupled Power and Gas Systems with Hydrogen-Enriched Natural Gas," Energies, MDPI, vol. 14(22), pages 1-17, November.
    6. Peter Lichtenwoehrer & Lore Abart-Heriszt & Florian Kretschmer & Franz Suppan & Gernot Stoeglehner & Georg Neugebauer, 2021. "Evaluating Spatial Interdependencies of Sector Coupling Using Spatiotemporal Modelling," Energies, MDPI, vol. 14(5), pages 1-23, February.
    7. Boghetti, Roberto & Kämpf, Jérôme H., 2024. "Verification of an open-source Python library for the simulation of district heating networks with complex topologies," Energy, Elsevier, vol. 290(C).

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