IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v305y2024ics0360544224019637.html
   My bibliography  Save this article

Design and simulation of district heating networks: A review of modeling approaches and tools

Author

Listed:
  • Kuntuarova, Saltanat
  • Licklederer, Thomas
  • Huynh, Thanh
  • Zinsmeister, Daniel
  • Hamacher, Thomas
  • Perić, Vedran

Abstract

District heating (DH) systems have been identified as an important component in efforts to mitigate greenhouse gas emissions and achieve climate targets in the near future. Software tools for analyzing these systems use different modeling approaches, making it challenging for practitioners to choose the most suitable tool based on specific use case requirements. This paper systematically reviews available DH network modeling and simulation tools, comparing their modeling approaches, application scope, and functional capabilities. An online survey was conducted among DH tool developers and experts to assess the technical evaluation criteria for these tools. First, the basic concepts and principles of DH networks modeling are discussed. Moreover, it provides an overview of DH network mathematical models, and discusses various numerical methods used for simulation and analysis, while highlighting potential areas for further research and tools development. The aim of this paper is to support academic and industrial users in selecting appropriate modeling approaches, tools, and libraries.

Suggested Citation

  • Kuntuarova, Saltanat & Licklederer, Thomas & Huynh, Thanh & Zinsmeister, Daniel & Hamacher, Thomas & Perić, Vedran, 2024. "Design and simulation of district heating networks: A review of modeling approaches and tools," Energy, Elsevier, vol. 305(C).
  • Handle: RePEc:eee:energy:v:305:y:2024:i:c:s0360544224019637
    DOI: 10.1016/j.energy.2024.132189
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224019637
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.132189?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. Brown, Alastair & Foley, Aoife & Laverty, David & McLoone, Seán & Keatley, Patrick, 2022. "Heating and cooling networks: A comprehensive review of modelling approaches to map future directions," Energy, Elsevier, vol. 261(PB).
    2. Cai, Hanmin & You, Shi & Wu, Jianzhong, 2020. "Agent-based distributed demand response in district heating systems," Applied Energy, Elsevier, vol. 262(C).
    3. Kauko, Hanne & Kvalsvik, Karoline Husevåg & Rohde, Daniel & Hafner, Armin & Nord, Natasa, 2017. "Dynamic modelling of local low-temperature heating grids: A case study for Norway," Energy, Elsevier, vol. 139(C), pages 289-297.
    4. Belliardi, Marco & Caputo, Paola & Ferla, Giulio & Cereghetti, Nerio & Antonioli Mantegazzini, Barbara, 2023. "An innovative application of 5GDHC: A techno-economic assessment of shallow geothermal systems potential in different European climates," Energy, Elsevier, vol. 280(C).
    5. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    6. Steffen Meinecke & Džanan Sarajlić & Simon Ruben Drauz & Annika Klettke & Lars-Peter Lauven & Christian Rehtanz & Albert Moser & Martin Braun, 2020. "SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis," Energies, MDPI, vol. 13(12), pages 1-19, June.
    7. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    8. Angelidis, O. & Ioannou, A. & Friedrich, D. & Thomson, A. & Falcone, G., 2023. "District heating and cooling networks with decentralised energy substations: Opportunities and barriers for holistic energy system decarbonisation," Energy, Elsevier, vol. 269(C).
    9. Gjoka, Kristian & Rismanchi, Behzad & Crawford, Robert H., 2024. "Fifth-generation district heating and cooling: Opportunities and implementation challenges in a mild climate," Energy, Elsevier, vol. 286(C).
    10. Lund, Henrik, 2018. "Renewable heating strategies and their consequences for storage and grid infrastructures comparing a smart grid to a smart energy systems approach," Energy, Elsevier, vol. 151(C), pages 94-102.
    11. Wirtz, Marco, 2023. "nPro: A web-based planning tool for designing district energy systems and thermal networks," Energy, Elsevier, vol. 268(C).
    12. 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.
    13. Østergaard, Poul Alberg & Werner, Sven & Dyrelund, Anders & Lund, Henrik & Arabkoohsar, Ahmad & Sorknæs, Peter & Gudmundsson, Oddgeir & Thorsen, Jan Eric & Mathiesen, Brian Vad, 2022. "The four generations of district cooling - A categorization of the development in district cooling from origin to future prospect," Energy, Elsevier, vol. 253(C).
    14. Wang, Yaran & You, Shijun & Zhang, Huan & Zheng, Xuejing & Zheng, Wandong & Miao, Qingwei & Lu, Gang, 2017. "Thermal transient prediction of district heating pipeline: Optimal selection of the time and spatial steps for fast and accurate calculation," Applied Energy, Elsevier, vol. 206(C), pages 900-910.
    15. Jie, Pengfei & Tian, Zhe & Yuan, Shanshan & Zhu, Neng, 2012. "Modeling the dynamic characteristics of a district heating network," Energy, Elsevier, vol. 39(1), pages 126-134.
    16. Henchoz, Samuel & Chatelan, Patrick & Maréchal, François & Favrat, Daniel, 2016. "Key energy and technological aspects of three innovative concepts of district energy networks," Energy, Elsevier, vol. 117(P2), pages 465-477.
    17. Guelpa, Elisa & Verda, Vittorio, 2019. "Compact physical model for simulation of thermal networks," Energy, Elsevier, vol. 175(C), pages 998-1008.
    18. Bünning, Felix & Wetter, Michael & Fuchs, Marcus & Müller, Dirk, 2018. "Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization," Applied Energy, Elsevier, vol. 209(C), pages 502-515.
    19. Schweiger, Gerald & Heimrath, Richard & Falay, Basak & O'Donovan, Keith & Nageler, Peter & Pertschy, Reinhard & Engel, Georg & Streicher, Wolfgang & Leusbrock, Ingo, 2018. "District energy systems: Modelling paradigms and general-purpose tools," Energy, Elsevier, vol. 164(C), pages 1326-1340.
    20. Lu, Shuai & Gu, Wei & Zhou, Jinhui & Zhang, Xuesong & Wu, Chenyu, 2018. "Coordinated dispatch of multi-energy system with district heating network: Modeling and solution strategy," Energy, Elsevier, vol. 152(C), pages 358-370.
    21. Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
    22. Reiners, Tobias & Gross, Michel & Altieri, Lisa & Wagner, Hermann-Josef & Bertsch, Valentin, 2021. "Heat pump efficiency in fifth generation ultra-low temperature district heating networks using a wastewater heat source," Energy, Elsevier, vol. 236(C).
    23. Huang, Shaojun & Tang, Weichu & Wu, Qiuwei & Li, Canbing, 2019. "Network constrained economic dispatch of integrated heat and electricity systems through mixed integer conic programming," Energy, Elsevier, vol. 179(C), pages 464-474.
    24. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    25. Jiaqi Shi & Ling Wang & Yingrui Wang & Jianhua Zhang, 2017. "Generalized Energy Flow Analysis Considering Electricity Gas and Heat Subsystems in Local-Area Energy Systems Integration," Energies, MDPI, vol. 10(4), pages 1-17, April.
    26. Daniel Lohmeier & Dennis Cronbach & Simon Ruben Drauz & Martin Braun & Tanja Manuela Kneiske, 2020. "Pandapipes: An Open-Source Piping Grid Calculation Package for Multi-Energy Grid Simulations," Sustainability, MDPI, vol. 12(23), pages 1-39, November.
    27. Brange, Lisa & Englund, Jessica & Lauenburg, Patrick, 2016. "Prosumers in district heating networks – A Swedish case study," Applied Energy, Elsevier, vol. 164(C), pages 492-500.
    28. Buffa, Simone & Cozzini, Marco & D’Antoni, Matteo & Baratieri, Marco & Fedrizzi, Roberto, 2019. "5th generation district heating and cooling systems: A review of existing cases in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 504-522.
    29. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "A comparative thermoeconomic analysis of fourth generation and fifth generation district heating and cooling networks," Energy, Elsevier, vol. 284(C).
    30. Zarin Pass, R. & Wetter, M. & Piette, M.A., 2018. "A thermodynamic analysis of a novel bidirectional district heating and cooling network," Energy, Elsevier, vol. 144(C), pages 20-30.
    31. Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    32. Dalla Rosa, A. & Li, H. & Svendsen, S., 2011. "Method for optimal design of pipes for low-energy district heating, with focus on heat losses," Energy, Elsevier, vol. 36(5), pages 2407-2418.
    33. Leitner, Benedikt & Widl, Edmund & Gawlik, Wolfgang & Hofmann, René, 2019. "A method for technical assessment of power-to-heat use cases to couple local district heating and electrical distribution grids," Energy, Elsevier, vol. 182(C), pages 729-738.
    34. Guelpa, Elisa & Toro, Claudia & Sciacovelli, Adriano & Melli, Roberto & Sciubba, Enrico & Verda, Vittorio, 2016. "Optimal operation of large district heating networks through fast fluid-dynamic simulation," Energy, Elsevier, vol. 102(C), pages 586-595.
    35. Werner, Sven, 2017. "International review of district heating and cooling," Energy, Elsevier, vol. 137(C), pages 617-631.
    36. Arabkoohsar, Ahmad & Alsagri, Ali Sulaiman, 2020. "Thermodynamic analysis of ultralow-temperature district heating system with shared power heat pumps and triple-pipes," Energy, Elsevier, vol. 194(C).
    37. Duquette, Jean & Rowe, Andrew & Wild, Peter, 2016. "Thermal performance of a steady state physical pipe model for simulating district heating grids with variable flow," Applied Energy, Elsevier, vol. 178(C), pages 383-393.
    38. Dancker, Jonte & Wolter, Martin, 2021. "Improved quasi-steady-state power flow calculation for district heating systems: A coupled Newton-Raphson approach," Applied Energy, Elsevier, vol. 295(C).
    39. Mitterrutzner, Benjamin & Callegher, Claudio Zandonella & Fraboni, Riccardo & Wilczynski, Eric & Pezzutto, Simon, 2023. "Review of heating and cooling technologies for buildings: A techno-economic case study of eleven European countries," Energy, Elsevier, vol. 284(C).
    40. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Integrated heat and power dispatch truly utilizing thermal inertia of district heating network for wind power integration," Applied Energy, Elsevier, vol. 211(C), pages 865-874.
    41. Dénarié, A. & Aprile, M. & Motta, M., 2019. "Heat transmission over long pipes: New model for fast and accurate district heating simulations," Energy, Elsevier, vol. 166(C), pages 267-276.
    42. Lund, Henrik & Duic, Neven & Østergaard, Poul Alberg & Mathiesen, Brian Vad, 2018. "Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating," Energy, Elsevier, vol. 165(PA), pages 614-619.
    43. Licklederer, Thomas & Hamacher, Thomas & Kramer, Michael & Perić, Vedran S., 2021. "Thermohydraulic model of Smart Thermal Grids with bidirectional power flow between prosumers," Energy, Elsevier, vol. 230(C).
    44. Lund, Henrik & Østergaard, Poul Alberg & Nielsen, Tore Bach & Werner, Sven & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Arabkoohsar, Ahmad & Mathiesen, Brian Vad, 2021. "Perspectives on fourth and fifth generation district heating," Energy, Elsevier, vol. 227(C).
    45. Vandermeulen, Annelies & van der Heijde, Bram & Helsen, Lieve, 2018. "Controlling district heating and cooling networks to unlock flexibility: A review," Energy, Elsevier, vol. 151(C), pages 103-115.
    46. Sartor, K. & Dewalef, P., 2017. "Experimental validation of heat transport modelling in district heating networks," Energy, Elsevier, vol. 137(C), pages 961-968.
    47. Yokoyama, Ryohei & Kitano, Hiroyuki & Wakui, Tetsuya, 2017. "Optimal operation of heat supply systems with piping network," Energy, Elsevier, vol. 137(C), pages 888-897.
    48. Dénarié, A. & Aprile, M. & Motta, M., 2023. "Dynamical modelling and experimental validation of a fast and accurate district heating thermo-hydraulic modular simulation tool," Energy, Elsevier, vol. 282(C).
    49. Liu, Xuezhi & Mancarella, Pierluigi, 2016. "Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems," Applied Energy, Elsevier, vol. 167(C), pages 336-352.
    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. Stanislav Chicherin & Yana Zhuikova & Tatyana Pyanykh & Andrey Zhuikov & Galym Baidyussenov & Saule Abildinova, 2024. "The First Fifth-Generation District Heating and Cooling System in Kazakhstan: Planning and Design," Energies, MDPI, vol. 17(23), pages 1-17, December.

    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. Yao, Shuai & Wu, Jianzhong & Qadrdan, Meysam, 2024. "A state-of-the-art analysis and perspectives on the 4th/5th generation district heating and cooling systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    2. Boghetti, Roberto & Kämpf, Jérôme H., 2024. "Verification of an open-source Python library for the simulation of district heating networks with complex topologies," Energy, Elsevier, vol. 290(C).
    3. Abugabbara, Marwan & Lindhe, Jonas & Javed, Saqib & Johansson, Dennis & Claesson, Johan, 2024. "Comparative study and validation of a new analytical method for hydraulic modelling of bidirectional low temperature networks," Energy, Elsevier, vol. 296(C).
    4. Xie, Zichan & Wang, Haichao & Hua, Pengmin & Lahdelma, Risto, 2023. "Discrete event simulation for dynamic thermal modelling of district heating pipe," Energy, Elsevier, vol. 285(C).
    5. 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).
    6. Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
    7. Dénarié, A. & Aprile, M. & Motta, M., 2023. "Dynamical modelling and experimental validation of a fast and accurate district heating thermo-hydraulic modular simulation tool," Energy, Elsevier, vol. 282(C).
    8. Wirtz, Marco, 2023. "nPro: A web-based planning tool for designing district energy systems and thermal networks," Energy, Elsevier, vol. 268(C).
    9. Abugabbara, Marwan & Javed, Saqib & Johansson, Dennis, 2022. "A simulation model for the design and analysis of district systems with simultaneous heating and cooling demands," Energy, Elsevier, vol. 261(PA).
    10. Gjoka, Kristian & Rismanchi, Behzad & Crawford, Robert H., 2023. "Fifth-generation district heating and cooling systems: A review of recent advancements and implementation barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    11. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Lin, Zhongwei & Fang, Fang & Chen, Qun, 2021. "Optimal operation of integrated electricity and heat system: A review of modeling and solution methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    12. Jakubek, Dariusz & Ocłoń, Paweł & Nowak-Ocłoń, Marzena & Sułowicz, Maciej & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2023. "Mathematical modelling and model validation of the heat losses in district heating networks," Energy, Elsevier, vol. 267(C).
    13. 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).
    14. Zheng, Xuejing & Sun, Qihang & Wang, Yaran & Zheng, Lijun & Gao, Xinyong & You, Shijun & Zhang, Huan & Shi, Kaiyu, 2021. "Thermo-hydraulic coupled simulation and analysis of a real large-scale complex district heating network in Tianjin," Energy, Elsevier, vol. 236(C).
    15. Dancker, Jonte & Wolter, Martin, 2021. "Improved quasi-steady-state power flow calculation for district heating systems: A coupled Newton-Raphson approach," Applied Energy, Elsevier, vol. 295(C).
    16. Guo, Yurun & Wang, Shugang & Wang, Jihong & Zhang, Tengfei & Ma, Zhenjun & Jiang, Shuang, 2024. "Key district heating technologies for building energy flexibility: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    17. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    18. Stanislav Chicherin & Vladislav Mašatin & Andres Siirde & Anna Volkova, 2020. "Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy," Energies, MDPI, vol. 13(17), pages 1-15, September.
    19. Shen, Lu & Dou, Xiaobo & Long, Huan & Li, Chen & Chen, Kang & Zhou, Ji, 2021. "A collaborative voltage optimization utilizing flexibility of community heating systems for high PV penetration," Energy, Elsevier, vol. 232(C).
    20. Licklederer, Thomas & Hamacher, Thomas & Kramer, Michael & Perić, Vedran S., 2021. "Thermohydraulic model of Smart Thermal Grids with bidirectional power flow between prosumers," Energy, Elsevier, vol. 230(C).

    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:305:y:2024:i:c:s0360544224019637. 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.