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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:

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    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. Neri, Manfredi & Guelpa, Elisa & Khor, Jun Onn & Romagnoli, Alessandro & Verda, Vittorio, 2024. "Hierarchical model for design and operation optimization of district cooling networks," Applied Energy, Elsevier, vol. 371(C).
    4. Wack, Yannick & Sollich, Martin & Salenbien, Robbe & Diriken, Jan & Baelmans, Martine & Blommaert, Maarten, 2024. "A multi-period topology and design optimization approach for district heating networks," Applied Energy, Elsevier, vol. 367(C).
    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).
    6. 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).
    7. Yao, Shuai & Wu, Jianzhong & Qadrdan, Meysam, 2024. "A state-of-the-art analysis and perspectives on the 4th/5th generation district heating and cooling systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    8. 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).
    9. Xu, Han & Zhang, Lu & Wang, Xuanbo & Han, Baocheng & Luo, Zhengyuan & Bai, Bofeng, 2024. "Improved genetic algorithm for pipe diameter optimization of an existing large-scale district heating network," Energy, Elsevier, vol. 304(C).

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