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Optimization of Heat Production for Electricity Market Participation

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Handbook of Low Temperature District Heating

Part of the book series: Green Energy and Technology ((GREEN))

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Abstract

In this chapter, we introduce optimization methods for production scheduling and power market participation for district heating systems under uncertainty. We present an optimization model for scheduling the production units using mixed-integer linear programming and stochastic programming. Based on the optimal production scheduling, the bidding amounts and prices to the day-ahead market are determined using an extension of the model. Results are shown for a demo case of a Danish district heating system.

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Acknowledgements

Brønderslev Forsyning A/S and the Department of Applied Mathematics and Computer Science, Technical University of Denmark, are partners in the project Heat 4.0—Digitally supported Smart District Heating funded by Innovation Fund Denmark (grant no. 8090-00046B).

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Authors and Affiliations

  1. Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Kongens Lyngby, Denmark

    Daniela Guericke, Amos Schledorn & Henrik Madsen

  2. Department of High-Tech Business and Entrepreneurship, University of Twente, 7522 NB, Enschede, The Netherlands

    Daniela Guericke

Authors
  1. Daniela Guericke
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  2. Amos Schledorn
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  3. Henrik Madsen
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Correspondence to Daniela Guericke .

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Editors and Affiliations

  1. Basque Research and Technology Alliance (BRTA), Tecnalia, Derio, Spain

    Roberto Garay-Martinez

  2. Basque Research and Technology Alliance (BRTA), Tecnalia, Derio, Spain

    Antonio Garrido-Marijuan

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Guericke, D., Schledorn, A., Madsen, H. (2022). Optimization of Heat Production for Electricity Market Participation. In: Garay-Martinez, R., Garrido-Marijuan, A. (eds) Handbook of Low Temperature District Heating. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-10410-7_8

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  • DOI: https://doi.org/10.1007/978-3-031-10410-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-10409-1

  • Online ISBN: 978-3-031-10410-7

  • eBook Packages: EnergyEnergy (R0)

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