IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v303y2024ics0360544224016451.html
   My bibliography  Save this article

Optimisation of district heating network separation for the utilisation of heat source potentials

Author

Listed:
  • Stock, Jan
  • Xhonneux, André
  • Müller, Dirk

Abstract

Integrating sustainable heat sources into district heating systems is crucial to reduce the mainly fossil-based heat supply in the building sector. However, integrating a heat source into an existing district heating system can be challenging due to non-matching temperature levels or unfavourable availability of the heat source intended for utilisation. To avoid the problems associated with heat source integration, i.e. utilisation in an existing district heating system, an alternative approach is to separate the district heating network into two independent networks. Thus, the separated network forms a standalone district heating system, which is supplied by the utilised heat source and can be individually transformed depending on the characteristics of the utilised heat source and the supplied buildings. In this way, complex design and control adaptions for the entire district heating system are avoided.

Suggested Citation

  • Stock, Jan & Xhonneux, André & Müller, Dirk, 2024. "Optimisation of district heating network separation for the utilisation of heat source potentials," Energy, Elsevier, vol. 303(C).
    • Handle: RePEc:eee:energy:v:303:y:2024:i:c:s0360544224016451
    DOI: 10.1016/j.energy.2024.131872
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224016451
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131872?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. Østergaard, Dorte Skaarup & Smith, Kevin Michael & Tunzi, Michele & Svendsen, Svend, 2022. "Low-temperature operation of heating systems to enable 4th generation district heating: A review," Energy, Elsevier, vol. 248(C).
    2. Antoine Reguis & Behrang Vand & John Currie, 2021. "Challenges for the Transition to Low-Temperature Heat in the UK: A Review," Energies, MDPI, vol. 14(21), pages 1-26, November.
    3. Jangsten, M. & Kensby, J. & Dalenbäck, J.-O. & Trüschel, A., 2017. "Survey of radiator temperatures in buildings supplied by district heating," Energy, Elsevier, vol. 137(C), pages 292-301.
    4. Meibodi, Saleh S. & Loveridge, Fleur, 2022. "The future role of energy geostructures in fifth generation district heating and cooling networks," Energy, Elsevier, vol. 240(C).
    5. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    6. Fuchs, Marcus & Teichmann, Jens & Lauster, Moritz & Remmen, Peter & Streblow, Rita & Müller, Dirk, 2016. "Workflow automation for combined modeling of buildings and district energy systems," Energy, Elsevier, vol. 117(P2), pages 478-484.
    7. Hering, Dominik & Xhonneux, André & Müller, Dirk, 2021. "Design optimization of a heating network with multiple heat pumps using mixed integer quadratically constrained programming," Energy, Elsevier, vol. 226(C).
    8. Brand, Lisa & Calvén, Alexandra & Englund, Jessica & Landersjö, Henrik & Lauenburg, Patrick, 2014. "Smart district heating networks – A simulation study of prosumers’ impact on technical parameters in distribution networks," Applied Energy, Elsevier, vol. 129(C), pages 39-48.
    9. Steffen Nielsen & Kenneth Hansen & Rasmus Lund & Diana Moreno, 2020. "Unconventional Excess Heat Sources for District Heating in a National Energy System Context," Energies, MDPI, vol. 13(19), pages 1-18, September.
    10. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    11. Jan Stock & André Xhonneux & Dirk Müller, 2022. "Framework for the Automated Identification of Possible District Heating Separations to Utilise Present Heat Sources Based on Existing Network Topology," Energies, MDPI, vol. 15(21), pages 1-31, November.
    12. Capone, Martina & Guelpa, Elisa & Verda, Vittorio, 2021. "Multi-objective optimization of district energy systems with demand response," Energy, Elsevier, vol. 227(C).
    13. Rämä, Miika & Pursiheimo, Esa & Sundell, Dennis & Abdurafikov, Rinat, 2024. "Dynamically distributed district heating for an existing system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    14. Jodeiri, A.M. & Goldsworthy, M.J. & Buffa, S. & Cozzini, M., 2022. "Role of sustainable heat sources in transition towards fourth generation district heating – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    15. Nord, Natasa & Shakerin, Mohammad & Tereshchenko, Tymofii & Verda, Vittorio & Borchiellini, Romano, 2021. "Data informed physical models for district heating grids with distributed heat sources to understand thermal and hydraulic aspects," Energy, Elsevier, vol. 222(C).
    16. Fonseca, Jimeno A. & Schlueter, Arno, 2015. "Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts," Applied Energy, Elsevier, vol. 142(C), pages 247-265.
    Full references (including those not matched with items on IDEAS)

    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. Li, Haoran & Hou, Juan & Hong, Tianzhen & Nord, Natasa, 2022. "Distinguish between the economic optimal and lowest distribution temperatures for heat-prosumer-based district heating systems with short-term thermal energy storage," Energy, Elsevier, vol. 248(C).
    3. Nageler, P. & Schweiger, G. & Schranzhofer, H. & Mach, T. & Heimrath, R. & Hochenauer, C., 2018. "Novel method to simulate large-scale thermal city models," Energy, Elsevier, vol. 157(C), pages 633-646.
    4. Alessandro Guzzini & Marco Pellegrini & Edoardo Pelliconi & Cesare Saccani, 2020. "Low Temperature District Heating: An Expert Opinion Survey," Energies, MDPI, vol. 13(4), pages 1-34, February.
    5. Min-Hwi Kim & Deuk-Won Kim & Dong-Won Lee & Jaehyeok Heo, 2021. "Experimental Analysis of Bi-Directional Heat Trading Operation Integrated with Heat Prosumers in Thermal Networks," Energies, MDPI, vol. 14(18), pages 1-18, September.
    6. Li, Haoran & Hou, Juan & Tian, Zhiyong & Hong, Tianzhen & Nord, Natasa & Rohde, Daniel, 2022. "Optimize heat prosumers' economic performance under current heating price models by using water tank thermal energy storage," Energy, Elsevier, vol. 239(PB).
    7. Kate Doubleday & Faeza Hafiz & Andrew Parker & Tarek Elgindy & Anthony Florita & Gregor Henze & Graziano Salvalai & Shanti Pless & Bri‐Mathias Hodge, 2019. "Integrated distribution system and urban district planning with high renewable penetrations," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    8. Averfalk, Helge & Werner, Sven, 2018. "Novel low temperature heat distribution technology," Energy, Elsevier, vol. 145(C), pages 526-539.
    9. Fabian Ochs & Mara Magni & Georgios Dermentzis, 2022. "Integration of Heat Pumps in Buildings and District Heating Systems—Evaluation on a Building and Energy System Level," Energies, MDPI, vol. 15(11), pages 1-33, May.
    10. Pothof, I. & Vreeken, D. & Meerkerk, M. van, 2023. "Data-driven method for optimized supply temperatures in residential buildings," Energy, Elsevier, vol. 284(C).
    11. Romanov, D. & Leiss, B., 2022. "Geothermal energy at different depths for district heating and cooling of existing and future building stock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    12. Hering, Dominik & Faller, Michael R. & Xhonneux, André & Müller, Dirk, 2022. "Operational optimization of a 4th generation district heating network with mixed integer quadratically constrained programming," Energy, Elsevier, vol. 250(C).
    13. Manz, Pia & Billerbeck, Anna & Kök, Ali & Fallahnejad, Mostafa & Fleiter, Tobias & Kranzl, Lukas & Braungardt, Sibylle & Eichhammer, Wolfgang, 2024. "Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe," Renewable Energy, Elsevier, vol. 224(C).
    14. Moreno, Diana & Nielsen, Steffen & Sorknæs, Peter & Lund, Henrik & Thellufsen, Jakob Zinck & Mathiesen, Brian Vad, 2024. "Exploring the location and use of baseload district heating supply. What can current heat sources tell us about future opportunities?," Energy, Elsevier, vol. 288(C).
    15. Østergaard, Dorte Skaarup & Svendsen, Svend, 2018. "Experience from a practical test of low-temperature district heating for space heating in five Danish single-family houses from the 1930s," Energy, Elsevier, vol. 159(C), pages 569-578.
    16. Amelia DIACONU & Maria-Loredana POPESCU & Sorin BURLACU & Ovidiu Cristian Andrei BUZOIANU, 2019. "Strategic Options For The Development Of Renewable Energy In The Context Of Globalization," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 1022-1029, November.
    17. Volkova, Anna & Krupenski, Igor & Ledvanov, Aleksandr & Hlebnikov, Aleksandr & Lepiksaar, Kertu & Latõšov, Eduard & Mašatin, Vladislav, 2020. "Energy cascade connection of a low-temperature district heating network to the return line of a high-temperature district heating network," Energy, Elsevier, vol. 198(C).
    18. Prasanna, Ashreeta & Dorer, Viktor & Vetterli, Nadège, 2017. "Optimisation of a district energy system with a low temperature network," Energy, Elsevier, vol. 137(C), pages 632-648.
    19. Ziemele, Jelena & Gravelsins, Armands & Blumberga, Andra & Blumberga, Dagnija, 2017. "Sustainability of heat energy tariff in district heating system: Statistic and dynamic methodologies," Energy, Elsevier, vol. 137(C), pages 834-845.
    20. Talebi, Behrang & Haghighat, Fariborz & Tuohy, Paul & Mirzaei, Parham A., 2018. "Validation of a community district energy system model using field measured data," Energy, Elsevier, vol. 144(C), pages 694-706.

    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:303:y:2024:i:c:s0360544224016451. 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.