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Formulation and assessment of multi-objective optimal sizing of district heating network

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  • Merlet, Yannis
  • Baviere, Roland
  • Vasset, Nicolas

Abstract

The efficiency of a District Heating (DH) network depends among other things on the quality of its design and more precisely on the sizing of the distribution network pipes. Providing DH designers with relevant methodology to select appropriate pipes is crucial to maximize the utility of those systems. This paper presents a methodology focusing on the optimal sizing of pipe diameters in DH networks: the methodology uses a genetic algorithm to generate a set of Pareto-optimal sizing choices. An implementation of the methodology is presented, and is validated on three test cases, each of them corresponding to an elementary configuration, which can be encountered in real-world DH network. As a result, the performance of the results provided by the optimization for each test case are as good or better than the best reference solutions we could provide. The last part of this paper addresses the scalability of the proposed sizing methodology.

Suggested Citation

  • Merlet, Yannis & Baviere, Roland & Vasset, Nicolas, 2022. "Formulation and assessment of multi-objective optimal sizing of district heating network," Energy, Elsevier, vol. 252(C).
    • Handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222009008
    DOI: 10.1016/j.energy.2022.123997
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    References listed on IDEAS

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    1. Tol, H.İ. & Svendsen, S., 2012. "Improving the dimensioning of piping networks and network layouts in low-energy district heating systems connected to low-energy buildings: A case study in Roskilde, Denmark," Energy, Elsevier, vol. 38(1), pages 276-290.
    2. Best, Robert E. & Rezazadeh Kalehbasti, P. & Lepech, Michael D., 2020. "A novel approach to district heating and cooling network design based on life cycle cost optimization," Energy, Elsevier, vol. 194(C).
    3. Marty, Fabien & Serra, Sylvain & Sochard, Sabine & Reneaume, Jean-Michel, 2018. "Simultaneous optimization of the district heating network topology and the Organic Rankine Cycle sizing of a geothermal plant," Energy, Elsevier, vol. 159(C), pages 1060-1074.
    4. Blommaert, Maarten & Wack, Y. & Baelmans, M., 2020. "An adjoint optimization approach for the topological design of large-scale district heating networks based on nonlinear models," Applied Energy, Elsevier, vol. 280(C).
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    Cited by:

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    2. Dong, Zhe & Cheng, Zhonghua & Zhu, Yunlong & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2024. "Passivity-based control of fluid flow networks with capacitance," Energy, Elsevier, vol. 299(C).
    3. Lambert, Jerry & Spliethoff, Hartmut, 2024. "A two-phase nonlinear optimization method for routing and sizing district heating systems," Energy, Elsevier, vol. 302(C).
    4. Ramos-Teodoro, Jerónimo & Álvarez, José Domingo & Torres, José Luis, 2024. "A methodology for feasibility analyses of district heating networks: A case study applied to greenhouse crops," Energy, Elsevier, vol. 301(C).
    5. 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).
    6. Zhong, Wei & Dai, Zhe & Lin, Xiaojie & Pan, Guanchang, 2024. "Study on time-of-use pricing method for steam heating system considering user response characteristics and thermal storage capacity," Energy, Elsevier, vol. 296(C).

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