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Integration of Flow Temperatures in Unit Commitment Models of Future District Heating Systems

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  • Cynthia Boysen

    (Center for Sustainable Energy Systems (ZNES), 24943 Flensburg, Germany
    Department of Energy and Biotechnology, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany
    Department of Energy and Environmental Management, Europa-Universitaet Flensburg, Auf dem Campus 1, 24943 Flensburg, Germany)

  • Cord Kaldemeyer

    (Center for Sustainable Energy Systems (ZNES), 24943 Flensburg, Germany
    Department of Energy and Biotechnology, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany
    Department of Energy and Environmental Management, Europa-Universitaet Flensburg, Auf dem Campus 1, 24943 Flensburg, Germany)

  • Simon Hilpert

    (Center for Sustainable Energy Systems (ZNES), 24943 Flensburg, Germany
    Department of Energy and Environmental Management, Europa-Universitaet Flensburg, Auf dem Campus 1, 24943 Flensburg, Germany)

  • Ilja Tuschy

    (Center for Sustainable Energy Systems (ZNES), 24943 Flensburg, Germany
    Department of Energy and Biotechnology, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany)

Abstract

The transformation of heat supply structures towards 4th generation district heating (4GDH) involves lower supply temperatures and a shift in technology. In order to assess the economic viability of the respective systems, adequate unit commitment models are needed. However, maintaining the formal requirements, while reducing the computational efforts of these models, often includes simplifications such as the assumption of constant supply temperatures. This study investigates the effect of introducing varying supply temperatures in mixed-integer linear programming models. Based on a case study of a municipal district heating system, how the temperature integration approach affects unit commitment and technology assessment for different temperature levels and scenarios is analyzed. In particular, three supply temperature levels are investigated with both variable and constant temperatures in two scenarios. Results indicate that lower flow temperature levels in the heating network tend to favor internal combustion engines, combined cycle power plants, and heat pumps; while back pressure steam turbines, peak loads, and electric boilers show declining operating hours. Furthermore, the effect of varying versus constant temperatures at the same temperature level is rather small, at least as long as technical restrictions do not come into play. Finally, it is found that the effect of changing temperature on a technology assessment is comparably small as opposed to adaptions in the regulatory framework.

Suggested Citation

  • Cynthia Boysen & Cord Kaldemeyer & Simon Hilpert & Ilja Tuschy, 2019. "Integration of Flow Temperatures in Unit Commitment Models of Future District Heating Systems," Energies, MDPI, vol. 12(6), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1061-:d:215348
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    References listed on IDEAS

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    Cited by:

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    3. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Reduction of Heat Losses in a Pre-Insulated Network Located in Central Poland by Lowering the Operating Temperature of the Water and the Use of Egg-shaped Thermal Insulation: A Case Study," Energies, MDPI, vol. 12(11), pages 1-12, June.
    4. Maier, Laura & Schönegge, Marius & Henn, Sarah & Hering, Dominik & Müller, Dirk, 2022. "Assessing mixed-integer-based heat pump modeling approaches for model predictive control applications in buildings," Applied Energy, Elsevier, vol. 326(C).
    5. Hamdi Abdi, 2023. "A Survey of Combined Heat and Power-Based Unit Commitment Problem: Optimization Algorithms, Case Studies, Challenges, and Future Directions," Mathematics, MDPI, vol. 11(19), pages 1-36, October.
    6. Kumar, Shravan & Thakur, Jagruti & Gardumi, Francesco, 2022. "Techno-economic modelling and optimisation of excess heat and cold recovery for industries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    7. Østergaard, Poul Alberg & Andersen, Anders N. & Sorknæs, Peter, 2022. "The business-economic energy system modelling tool energyPRO," Energy, Elsevier, vol. 257(C).
    8. Simon Hilpert, 2020. "Effects of Decentral Heat Pump Operation on Electricity Storage Requirements in Germany," Energies, MDPI, vol. 13(11), pages 1-19, June.

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