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Challenges in heat network design optimization

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  • Egberts, Paul
  • Tümer, Can
  • Loh, Kelvin
  • Octaviano, Ryvo

Abstract

Different stakeholders have different design considerations that shape a heating grid. In short term, these range from achieving lowest ownership costs to preventing monopolies. In long term, project developers focus on how uncertainties of design parameters (e.g. demand/supply, heat prices) affect the grid design and, ultimately, the business case. Currently, heat grids are designed through the evaluation of manually drafted topologies. Since there are many design options and uncertainties in the parameters, it is infeasible to evaluate all possibilities, leading to suboptimal designs. In this paper, numerical optimization approaches will be discussed that can assist with the conceptual grid design in a systematic manner to achieve an improved network topology. It will be explained how uncertainty, for example of demands, can be addressed to obtain a robust network design.

Suggested Citation

  • Egberts, Paul & Tümer, Can & Loh, Kelvin & Octaviano, Ryvo, 2020. "Challenges in heat network design optimization," Energy, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:energy:v:203:y:2020:i:c:s0360544220307957
    DOI: 10.1016/j.energy.2020.117688
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    References listed on IDEAS

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    Cited by:

    1. Wack, Yannick & Serra, Sylvain & Baelmans, Martine & Reneaume, Jean-Michel & Blommaert, Maarten, 2023. "Nonlinear topology optimization of District Heating Networks: A benchmark of a mixed-integer and a density-based approach," Energy, Elsevier, vol. 278(PB).
    2. Neri, Manfredi & Guelpa, Elisa & Verda, Vittorio, 2022. "Design and connection optimization of a district cooling network: Mixed integer programming and heuristic approach," Applied Energy, Elsevier, vol. 306(PA).
    3. 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).
    4. Guelpa, E. & Capone, M. & Sciacovelli, A. & Vasset, N. & Baviere, R. & Verda, V., 2023. "Reduction of supply temperature in existing district heating: A review of strategies and implementations," Energy, Elsevier, vol. 262(PB).
    5. Salenbien, R. & Wack, Y. & Baelmans, M. & Blommaert, M., 2023. "Geographically informed automated non-linear topology optimization of district heating networks," Energy, Elsevier, vol. 283(C).

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