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Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production

Author

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  • Ignacio Blanco

    (Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, Denmark)

  • Daniela Guericke

    (Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, Denmark)

  • Anders N. Andersen

    (EMD International A/S, Niels Jernesvej 10, 9220 Aalborg Ø, Denmark)

  • Henrik Madsen

    (Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, Denmark)

Abstract

In countries with an extended use of district heating (DH), the integrated operation of DH and power systems can increase the flexibility of the power system, achieving a higher integration of renewable energy sources (RES). DH operators can not only provide flexibility to the power system by acting on the electricity market, but also profit from the situation to lower the overall system cost. However, the operational planning and bidding includes several uncertain components at the time of planning: electricity prices as well as heat and power production from RES. In this publication, we propose a planning method based on stochastic programming that supports DH operators by scheduling the production and creating bids for the day-ahead and balancing electricity markets. We apply our solution approach to a real case study in Denmark and perform an extensive analysis of the production and trading behavior of the DH system. The analysis provides insights on system costs, how DH system can provide regulating power, and the impact of RES on the planning.

Suggested Citation

  • Ignacio Blanco & Daniela Guericke & Anders N. Andersen & Henrik Madsen, 2018. "Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production," Energies, MDPI, vol. 11(12), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3310-:d:185918
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    References listed on IDEAS

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    Cited by:

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    2. 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).
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    5. Boldrini, A. & Jiménez Navarro, J.P. & Crijns-Graus, W.H.J. & van den Broek, M.A., 2022. "The role of district heating systems to provide balancing services in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    6. 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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    9. Cuisinier, Étienne & Lemaire, Pierre & Penz, Bernard & Ruby, Alain & Bourasseau, Cyril, 2022. "New rolling horizon optimization approaches to balance short-term and long-term decisions: An application to energy planning," Energy, Elsevier, vol. 245(C).
    10. Qiang Wang & Zhongfu Tan & Gejirifu De & Qingkun Tan & Lei Pu, 2019. "An Evolutionary Game Study of Clean Heating Promotion Mechanisms under the Policy Regulation in China," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
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