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A method for technical assessment of power-to-heat use cases to couple local district heating and electrical distribution grids

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  • Leitner, Benedikt
  • Widl, Edmund
  • Gawlik, Wolfgang
  • Hofmann, René

Abstract

The transition of district heating and electrical distribution grids from traditionally independent to actively coupled and operated networks is seen as an important step on the way to smart energy networks. This work presents a method that enables a detailed technical assessment of the operation of such coupled heat and power networks. It is based on a sequential coupling approach of a dynamic thermal-hydraulic model for the district heating network and a quasi-static model for the electrical distribution network. Different use cases are highlighted where a local coupling of the networks with power-to-heat is supporting the transition to smart energy networks, i.e., lowering district heating supply temperatures, accommodating renewable energy sources in the power network and integrating low-temperature heat sources into the district heating network. All three use cases are implemented in example applications to showcase the versatility of the method. The results underline the presented method's ability to perform detailed technical assessments of coupled heat and power networks.

Suggested Citation

  • Leitner, Benedikt & Widl, Edmund & Gawlik, Wolfgang & Hofmann, René, 2019. "A method for technical assessment of power-to-heat use cases to couple local district heating and electrical distribution grids," Energy, Elsevier, vol. 182(C), pages 729-738.
    • Handle: RePEc:eee:energy:v:182:y:2019:i:c:p:729-738
    DOI: 10.1016/j.energy.2019.06.016
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    Cited by:

    1. Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
    2. Wendel, Frank & Blesl, Markus & Brodecki, Lukasz & Hufendiek, Kai, 2022. "Expansion or decommission? – Transformation of existing district heating networks by reducing temperature levels in a cost-optimum network design," Applied Energy, Elsevier, vol. 310(C).
    3. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    4. Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Load flexibility potential across residential, commercial and industrial sectors in Brazil," Energy, Elsevier, vol. 201(C).
    5. Pieper, Henrik & Krupenski, Igor & Brix Markussen, Wiebke & Ommen, Torben & Siirde, Andres & Volkova, Anna, 2021. "Method of linear approximation of COP for heat pumps and chillers based on thermodynamic modelling and off-design operation," Energy, Elsevier, vol. 230(C).
    6. Jasmine Ramsebner & Reinhard Haas & Amela Ajanovic & Martin Wietschel, 2021. "The sector coupling concept: A critical review," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(4), July.
    7. Xu, Changrui & Xu, Xiaosheng & Li, Mengshi & Wu, Qinghua & Zheng, Jiehui & Xiao, Wenting, 2024. "A multi-rate dynamic analysis method of individual-based district heating system," Energy, Elsevier, vol. 295(C).
    8. Matthew Gough & Sérgio F. Santos & Mohammed Javadi & Rui Castro & João P. S. Catalão, 2020. "Prosumer Flexibility: A Comprehensive State-of-the-Art Review and Scientometric Analysis," Energies, MDPI, vol. 13(11), pages 1-32, May.
    9. Nielsen, Tore Bach & Lund, Henrik & Østergaard, Poul Alberg & Duic, Neven & Mathiesen, Brian Vad, 2021. "Perspectives on energy efficiency and smart energy systems from the 5th SESAAU2019 conference," Energy, Elsevier, vol. 216(C).
    10. Turk, Ana & Wu, Qiuwei & Zhang, Menglin & Østergaard, Jacob, 2020. "Day-ahead stochastic scheduling of integrated multi-energy system for flexibility synergy and uncertainty balancing," Energy, Elsevier, vol. 196(C).
    11. 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).
    12. Edmund Widl & Benedikt Leitner & Daniele Basciotti & Sawsan Henein & Tarik Ferhatbegovic & René Hofmann, 2020. "Combined Optimal Design and Control of Hybrid Thermal-Electrical Distribution Grids Using Co-Simulation," Energies, MDPI, vol. 13(8), pages 1-21, April.
    13. Shu, Lei & Mo, Yunjeong & Zhao, Dong, 2024. "Energy retrofits for smart and connected communities: Scopes and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    14. Volkova, A. & Koduvere, H. & Pieper, H., 2022. "Large-scale heat pumps for district heating systems in the Baltics: Potential and impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    15. Leitner, Benedikt & Widl, Edmund & Gawlik, Wolfgang & Hofmann, René, 2020. "Control assessment in coupled local district heating and electrical distribution grids: Model predictive control of electric booster heaters," Energy, Elsevier, vol. 210(C).
    16. Carli, Raffaele & Dotoli, Mariagrazia & Jantzen, Jan & Kristensen, Michael & Ben Othman, Sarah, 2020. "Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø," Energy, Elsevier, vol. 198(C).
    17. Edmund Widl & Giorgio Agugiaro & Jan Peters-Anders, 2021. "Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    18. Dorotić, Hrvoje & Ban, Marko & Pukšec, Tomislav & Duić, Neven, 2020. "Impact of wind penetration in electricity markets on optimal power-to-heat capacities in a local district heating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    19. Gronier, Timothé & Fitó, Jaume & Franquet, Erwin & Gibout, Stéphane & Ramousse, Julien, 2022. "Iterative sizing of solar-assisted mixed district heating network and local electrical grid integrating demand-side management," Energy, Elsevier, vol. 238(PA).

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