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Optimization Tool for the Strategic Outline and Sizing of District Heating Networks Using a Geographic Information System

Author

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  • Thibaut Résimont

    (Department of Aerospace & Mechanical Engineering, University of Liège, 4000 Liège, Belgium)

  • Quentin Louveaux

    (Montefiore Institute, University of Liège, 4000 Liège, Belgium)

  • Pierre Dewallef

    (Department of Aerospace & Mechanical Engineering, University of Liège, 4000 Liège, Belgium)

Abstract

The implementation of district heating networks into cities is a main topic in policy planning that looks for sustainable solutions to reduce CO 2 emissions. However, their development into cities is generally limited by a high initial investment cost. The development of optimization methods intended to draft efficient systems using heating consumption profiles into a prescribed geographic area are useful in this purpose. Such tools are already referred to in the scientific literature, yet they are often restricted to limit the computational load. To bridge this gap, the present contribution proposes a multi-period mixed integer linear programming model for the optimal outline and sizing of a district heating network maximizing the net cash flow based on a geographic information system. This methodology targets a large range of problem sizes from small-scale to large-scale heating networks while guaranteeing numerical robustness. For sake of simplicity, the developed model is first applied to a scaled down case study with 3 available heating sources and a neighborhood of 16 streets. The full-scale model is presented afterwards to demonstrate the applicability of the tool for city-scale heating networks with around 2000 streets to potentially connect within a reasonable computational time of around only one hour.

Suggested Citation

  • Thibaut Résimont & Quentin Louveaux & Pierre Dewallef, 2021. "Optimization Tool for the Strategic Outline and Sizing of District Heating Networks Using a Geographic Information System," Energies, MDPI, vol. 14(17), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5575-:d:630020
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    References listed on IDEAS

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    2. Lambert, Jerry & Spliethoff, Hartmut, 2024. "A two-phase nonlinear optimization method for routing and sizing district heating systems," Energy, Elsevier, vol. 302(C).
    3. 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).
    4. Liudmyla Davydenko & Nina Davydenko & Agnieszka Deja & Bogusz Wiśnicki & Tygran Dzhuguryan, 2023. "Efficient Energy Management for the Smart Sustainable City Multifloor Manufacturing Clusters: A Formalization of the Water Supply System Operation Conditions Based on Monitoring Water Consumption Prof," Energies, MDPI, vol. 16(11), pages 1-25, June.
    5. Piotr Pałka & Marcin Malec & Przemysław Kaszyński & Jacek Kamiński & Piotr Saługa, 2023. "District Heating System Optimisation: A Three-Phase Thermo-Hydraulic Linear Model," Energies, MDPI, vol. 16(8), pages 1-18, April.
    6. Spirito, G. & Dénarié, A. & Fattori, F. & Muliere, G. & Motta, M. & Persson, U., 2024. "Assessing district heating potential at large scale: Presentation and application of a spatially-detailed model to optimally match heat sources and demands," Applied Energy, Elsevier, vol. 372(C).
    7. 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).

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