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Optimizing the District Heating Primary Network from the Perspective of Economic-Specific Pressure Loss

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  • Haichao Wang

    (Institute of Building Environment and Facility Engineering, School of Civil Engineering, Dalian University of Technology, Dalian 116024, China
    Department of Energy Technology, Aalto University School of Engineering, P.O. Box 14100, FI-00076 Aalto, Finland)

  • Lin Duanmu

    (Institute of Building Environment and Facility Engineering, School of Civil Engineering, Dalian University of Technology, Dalian 116024, China)

  • Xiangli Li

    (Institute of Building Environment and Facility Engineering, School of Civil Engineering, Dalian University of Technology, Dalian 116024, China)

  • Risto Lahdelma

    (Department of Energy Technology, Aalto University School of Engineering, P.O. Box 14100, FI-00076 Aalto, Finland)

Abstract

A district heating (DH) system is one of the most important components of infrastructures in cold areas. Proper DH network design should balance the initial investment and the heat distribution cost of the DH network. Currently, this design is often based on a recommended value for specific pressure loss ( R = ∆ P / L ) in the main lines. This will result in a feasible network design, but probably not be optimal in most cases. The paper develops a novel optimization model to facilitate the design by considering the initial investment in the pipes and the heat distribution costs. The model will generate all possible network scenarios consisting of different series of diameters for each pipe in the flow direction of the network. Then, the annuity on the initial investment, the heat distribution cost, and the total annual cost will be calculated for each network scenario, taking into account the uncertainties of the material prices and the yearly operating time levels. The model is applied to a sample DH network and the results indicate that the model works quite well, clearly identifying the optimal network design and demonstrating that the heat distribution cost is more important than the initial investment in DH network design.

Suggested Citation

  • Haichao Wang & Lin Duanmu & Xiangli Li & Risto Lahdelma, 2017. "Optimizing the District Heating Primary Network from the Perspective of Economic-Specific Pressure Loss," Energies, MDPI, vol. 10(8), pages 1-12, July.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1095-:d:105930
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    References listed on IDEAS

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    1. Wang, Hai-Chao & Jiao, Wen-Ling & Lahdelma, Risto & Zou, Ping-Hua, 2011. "Techno-economic analysis of a coal-fired CHP based combined heating system with gas-fired boilers for peak load compensation," Energy Policy, Elsevier, vol. 39(12), pages 7950-7962.
    2. 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.
    3. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2016. "Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout," Energy, Elsevier, vol. 116(P1), pages 619-636.
    4. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    5. Mavrotas, George & Figueira, José Rui & Siskos, Eleftherios, 2015. "Robustness analysis methodology for multi-objective combinatorial optimization problems and application to project selection," Omega, Elsevier, vol. 52(C), pages 142-155.
    6. Pirouti, Marouf & Bagdanavicius, Audrius & Ekanayake, Janaka & Wu, Jianzhong & Jenkins, Nick, 2013. "Energy consumption and economic analyses of a district heating network," Energy, Elsevier, vol. 57(C), pages 149-159.
    7. Jie, Pengfei & Kong, Xiangfei & Rong, Xian & Xie, Shangqun, 2016. "Selecting the optimum pressure drop per unit length of district heating piping network based on operating strategies," Applied Energy, Elsevier, vol. 177(C), pages 341-353.
    8. Mertz, Théophile & Serra, Sylvain & Henon, Aurélien & Reneaume, Jean-Michel, 2016. "A MINLP optimization of the configuration and the design of a district heating network: Academic study cases," Energy, Elsevier, vol. 117(P2), pages 450-464.
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    Cited by:

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    3. Harney, Patrick & Gartland, Donna & Murphy, Fionnuala, 2020. "Determining the optimum low-temperature district heating network design for a secondary network supplying a low-energy-use apartment block in Ireland," Energy, Elsevier, vol. 192(C).
    4. Wentao Yang & Fushuan Wen & Ke Wang & Yuchun Huang & Md. Abdus Salam, 2018. "Modeling of a District Heating System and Optimal Heat-Power Flow," Energies, MDPI, vol. 11(4), pages 1-19, April.
    5. Wendel, Frank & Blesl, Markus & Brodecki, Lukasz & Hufendiek, Kai, 2022. "Expansion or decommission? – Transformation of existing district heating networks by reducing temperature levels in a cost-optimum network design," Applied Energy, Elsevier, vol. 310(C).
    6. Riccardo Toffanin & Paola Caputo & Marco Belliardi & Vinicio Curti, 2022. "Low and Ultra-Low Temperature District Heating Equipped by Heat Pumps—An Analysis of the Best Operative Conditions for a Swiss Case Study," Energies, MDPI, vol. 15(9), pages 1-19, May.
    7. Dai, Yuanhang & Hao, Junhong & Wang, Xingce & Chen, Lei & Chen, Qun & Du, Xiaoze, 2022. "A comprehensive model and its optimal dispatch of an integrated electrical-thermal system with multiple heat sources," Energy, Elsevier, vol. 261(PA).

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