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A MINLP optimization of the configuration and the design of a district heating network: Academic study cases

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  • Mertz, Théophile
  • Serra, Sylvain
  • Henon, Aurélien
  • Reneaume, Jean-Michel

Abstract

The aim of this work is to propose a tool for the design assistance of District Heating Network (DHN). Two goals of DHN optimization are handled simultaneously: the optimization of the configuration and its design. The optimization objective is to minimize the global cost of the DHN over 30 years. It includes both operating costs (heating and pumping cost, including thermal losses and pressure drop) and investment costs (line, trench, heating plant, heat exchanger). The formulation leads to a mixed integer non-linear programming (MINLP) problem in steady state. The model is solved with DICOPT within GAMS (around 5s for this study cases).

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:117:y:2016:i:p2:p:450-464
    DOI: 10.1016/j.energy.2016.07.106
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    References listed on IDEAS

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    1. Wack, Yannick & Baelmans, Martine & Salenbien, Robbe & Blommaert, Maarten, 2023. "Economic topology optimization of District Heating Networks using a pipe penalization approach," Energy, Elsevier, vol. 264(C).
    2. 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).
    3. 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).
    4. Wang, Yang & Zhang, Shanhong & Chow, David & Kuckelkorn, Jens M., 2021. "Evaluation and optimization of district energy network performance: Present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    5. Régis Delubac & Mohammad Sadr & Sabine Sochard & Sylvain Serra & Jean-Michel Reneaume, 2023. "Optimized Operation and Sizing of Solar District Heating Networks with Small Daily Storage," Energies, MDPI, vol. 16(3), pages 1-20, January.
    6. Bogdanovics, Raimonds & Zemitis, Jurgis & Zajacs, Aleksandrs & Borodinecs, Anatolijs, 2024. "Small-scale district heating system as heat storage for decentralized solar thermal collectors during non-heating period," Energy, Elsevier, vol. 298(C).
    7. Xiao, Wu & Cheng, Andi & Li, Shuai & Jiang, Xiaobin & Ruan, Xuehua & He, Gaohong, 2021. "A multi-objective optimization strategy of steam power system to achieve standard emission and optimal economic by NSGA-Ⅱ," Energy, Elsevier, vol. 232(C).
    8. Jing, Rui & Wang, Meng & Liang, Hao & Wang, Xiaonan & Li, Ning & Shah, Nilay & Zhao, Yingru, 2018. "Multi-objective optimization of a neighborhood-level urban energy network: Considering Game-theory inspired multi-benefit allocation constraints," Applied Energy, Elsevier, vol. 231(C), pages 534-548.
    9. Wang, Hai & Wang, Haiying & Haijian, Zhou & Zhu, Tong, 2017. "Optimization modeling for smart operation of multi-source district heating with distributed variable-speed pumps," Energy, Elsevier, vol. 138(C), pages 1247-1262.
    10. Donghun Lee & Seok Mann Yoon & Jaeseung Lee & Kwanho Kim & Sang Hwa Song, 2020. "Applying Deep Learning to the Heat Production Planning Problem in a District Heating System," Energies, MDPI, vol. 13(24), pages 1-17, December.
    11. 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.
    12. Babiarz, Bożena & Blokus, Agnieszka, 2020. "Dependency of technological lines in reliability analysis of heat production," Energy, Elsevier, vol. 211(C).
    13. 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).
    14. Simeoni, Patrizia & Ciotti, Gellio & Cottes, Mattia & Meneghetti, Antonella, 2019. "Integrating industrial waste heat recovery into sustainable smart energy systems," Energy, Elsevier, vol. 175(C), pages 941-951.
    15. Badami, Marco & Fonti, Antonio & Carpignano, Andrea & Grosso, Daniele, 2018. "Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach," Energy, Elsevier, vol. 144(C), pages 826-838.
    16. 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.
    17. Mengting Jiang & Camilo Rindt & David M. J. Smeulders, 2022. "Optimal Planning of Future District Heating Systems—A Review," Energies, MDPI, vol. 15(19), pages 1-38, September.
    18. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.
    19. Kazagic, Anes & Merzic, Ajla & Redzic, Elma & Tresnjo, Dino, 2019. "Optimization of modular district heating solution based on CHP and RES - Demonstration case of the Municipality of Visoko," Energy, Elsevier, vol. 181(C), pages 56-65.
    20. Schweiger, Gerald & Larsson, Per-Ola & Magnusson, Fredrik & Lauenburg, Patrick & Velut, Stéphane, 2017. "District heating and cooling systems – Framework for Modelica-based simulation and dynamic optimization," Energy, Elsevier, vol. 137(C), pages 566-578.
    21. Régis Delubac & Sylvain Serra & Sabine Sochard & Jean-Michel Reneaume, 2021. "A Dynamic Optimization Tool to Size and Operate Solar Thermal District Heating Networks Production Plants," Energies, MDPI, vol. 14(23), pages 1-27, November.
    22. Jie, Pengfei & Zhao, Wanyue & Li, Fating & Wei, Fengjun & Li, Jing, 2020. "Optimizing the pressure drop per unit length of district heating piping networks from an environmental perspective," Energy, Elsevier, vol. 202(C).
    23. Sokolov, Dmitry V. & Barakhtenko, Evgeny A., 2020. "Optimization of transmission capacity of energy water pipeline networks with a tree-shaped configuration and multiple sources," Energy, Elsevier, vol. 210(C).
    24. Vesterlund, Mattias & Toffolo, Andrea & Dahl, Jan, 2017. "Optimization of multi-source complex district heating network, a case study," Energy, Elsevier, vol. 126(C), pages 53-63.

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