IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v252y2022ics0360544222009008.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222009008
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.123997?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lambert, Jerry & Spliethoff, Hartmut, 2024. "A two-phase nonlinear optimization method for routing and sizing district heating systems," Energy, Elsevier, vol. 302(C).
    2. 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).
    3. 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).
    4. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    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. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    4. 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).
    5. 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).
    6. 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).
    7. 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).
    8. Nielsen, Steffen, 2014. "A geographic method for high resolution spatial heat planning," Energy, Elsevier, vol. 67(C), pages 351-362.
    9. Persson, Urban & Wiechers, Eva & Möller, Bernd & Werner, Sven, 2019. "Heat Roadmap Europe: Heat distribution costs," Energy, Elsevier, vol. 176(C), pages 604-622.
    10. Fabien Marty & Sylvain Serra & Sabine Sochard & Jean-Michel Reneaume, 2019. "Exergy Analysis and Optimization of a Combined Heat and Power Geothermal Plant," Energies, MDPI, vol. 12(6), pages 1-22, March.
    11. Brand, Marek & Thorsen, Jan Eric & Svendsen, Svend, 2012. "Numerical modelling and experimental measurements for a low-temperature district heating substation for instantaneous preparation of DHW with respect to service pipes," Energy, Elsevier, vol. 41(1), pages 392-400.
    12. De Lorenzi, Andrea & Gambarotta, Agostino & Morini, Mirko & Rossi, Michele & Saletti, Costanza, 2020. "Setup and testing of smart controllers for small-scale district heating networks: An integrated framework," Energy, Elsevier, vol. 205(C).
    13. Pilar Mercader-Moyano & Manuel Ramos-Martín, 2020. "Comprehensive Sustainability Assessment of Regenerative Actions on the Thermal Envelope of Obsolete Buildings under Climate Change Perspective," Sustainability, MDPI, vol. 12(14), pages 1-40, July.
    14. Xu, Xin & You, Shijun & Zheng, Xuejing & Li, Han, 2014. "A survey of district heating systems in the heating regions of northern China," Energy, Elsevier, vol. 77(C), pages 909-925.
    15. Hakan İbrahim Tol & Svend Svendsen, 2013. "The Exergetic, Environmental and Economic Effect of the Hydrostatic Design Static Pressure Level on the Pipe Dimensions of Low-Energy District Heating Networks," Challenges, MDPI, vol. 4(1), pages 1-16, January.
    16. Nami, Hossein & Anvari-Moghaddam, Amjad, 2020. "Small-scale CCHP systems for waste heat recovery from cement plants: Thermodynamic, sustainability and economic implications," Energy, Elsevier, vol. 192(C).
    17. Nami, Hossein & Anvari-Moghaddam, Amjad, 2020. "Geothermal driven micro-CCHP for domestic application – Exergy, economic and sustainability analysis," Energy, Elsevier, vol. 207(C).
    18. Baldvinsson, Ivar & Nakata, Toshihiko, 2016. "A feasibility and performance assessment of a low temperature district heating system – A North Japanese case study," Energy, Elsevier, vol. 95(C), pages 155-174.
    19. Mikielewicz, Jarosław & Ochrymiuk, Tomasz & Cenian, Adam, 2022. "Comparison of traditional with low temperature district heating systems based on organic Rankine cycle," Energy, Elsevier, vol. 245(C).
    20. Østergaard, Dorte Skaarup & Svendsen, Svend, 2016. "Replacing critical radiators to increase the potential to use low-temperature district heating – A case study of 4 Danish single-family houses from the 1930s," Energy, Elsevier, vol. 110(C), pages 75-84.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222009008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.