IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v326y2025ics0360544225018328.html

Economic feasibility of supra-regional district heating networks: Addressing technical and economic considerations

Author

Listed:
  • Steinegger, Josef
  • Stering, Stefan
  • Kienberger, Thomas

Abstract

Various models exist for pricing heat in district heating networks, with most assuming that the heat supplier holds a natural monopoly position within the network. However, a supra-regional district heating network can break this natural monopoly, creating a new market with multiple heat suppliers. Operation strategies and thus pricing models for such structures are rare, often failing to reimburse the full costs incurred by heat suppliers and lacking sufficient control strategies. This paper introduces a novel heat pricing model in combination with an operation strategy that addresses all key aspects of operating these networks by implementing a merit-order bid price system based on levelized costs of heat, with caps and floors. In addition, it provides an analysis of these structures by applying the operational strategy and the novel pricing model to a case study. The results demonstrate that a supra-regional district heating network can be economically and technically integrated into the examined area without any limitations in temperature levels. This integration leads to reduced heat costs for some customers compared to scenarios without this network. Moreover, industrial waste heat suppliers and biomass plants experience a notable increase in their full-load hours.

Suggested Citation

  • Steinegger, Josef & Stering, Stefan & Kienberger, Thomas, 2025. "Economic feasibility of supra-regional district heating networks: Addressing technical and economic considerations," Energy, Elsevier, vol. 326(C).
  • Handle: RePEc:eee:energy:v:326:y:2025:i:c:s0360544225018328
    DOI: 10.1016/j.energy.2025.136190
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225018328
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136190?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Moser, Simon & Puschnigg, Stefan & Rodin, Valerie, 2020. "Designing the Heat Merit Order to determine the value of industrial waste heat for district heating systems," Energy, Elsevier, vol. 200(C).
    2. Akbarizadeh, Mohammadreza & Niknam, Taher & Dehghani, Moslem & Pourbehzadi, Motahareh & Javidi, Giti & Sheybani, Ehsan, 2025. "Multi-objective strategic offering of networked energy hubs in the day-ahead energy market according to uncertainty modelling," Energy, Elsevier, vol. 314(C).
    3. Frison, Lilli & Gölzhäuser, Simon & Bitterling, Moritz & Kramer, Wolfgang, 2024. "Evaluating different artificial neural network forecasting approaches for optimizing district heating network operation," Energy, Elsevier, vol. 307(C).
    4. Simon Moser & Stefan Puschnigg, 2021. "Supra-Regional District Heating Networks: A Missing Infrastructure for a Sustainable Energy System," Energies, MDPI, vol. 14(12), pages 1-15, June.
    5. Steinegger, Josef & Hammer, Andreas & Wallner, Stefan & Kienberger, Thomas, 2024. "Revolutionizing heat distribution: A method for harnessing industrial waste heat with supra-regional district heating networks," Applied Energy, Elsevier, vol. 372(C).
    6. Boscan, Luis & Söderberg, Magnus, 2021. "A theoretical and empirical analysis of district heating cost in Denmark," Energy Economics, Elsevier, vol. 99(C).
    7. Guo, Xiaodan & Xiao, Bowen, 2022. "How can pricing strategy for district heating help China realize cleaner residential heating?," Energy Economics, Elsevier, vol. 110(C).
    8. Liu, Wen & Klip, Diederik & Zappa, William & Jelles, Sytse & Kramer, Gert Jan & van den Broek, Machteld, 2019. "The marginal-cost pricing for a competitive wholesale district heating market: A case study in the Netherlands," Energy, Elsevier, vol. 189(C).
    9. Fang, Tingting & Lahdelma, Risto, 2015. "Genetic optimization of multi-plant heat production in district heating networks," Applied Energy, Elsevier, vol. 159(C), pages 610-619.
    10. Xi, Yufei & Zeng, Qing & Chen, Zhe & Lund, Henrik & Conejo, Antonio J., 2020. "A market equilibrium model for electricity, gas and district heating operations," Energy, Elsevier, vol. 206(C).
    11. Kavvadias, Konstantinos C. & Quoilin, Sylvain, 2018. "Exploiting waste heat potential by long distance heat transmission: Design considerations and techno-economic assessment," Applied Energy, Elsevier, vol. 216(C), pages 452-465.
    12. Fu, Yang & Shan, Jie & Li, Zhenkun & Xie, BoLin & Pan, Jeng-Shyang, 2025. "The optimal bidding strategy for multi-energy prosumers in the double auction electricity-heat market: A bidding space model," Energy, Elsevier, vol. 314(C).
    13. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems," Energy, Elsevier, vol. 90(P2), pages 1901-1915.
    14. Joanna Sitarz & Michael Pahle & Sebastian Osorio & Gunnar Luderer & Robert Pietzcker, 2024. "EU carbon prices signal high policy credibility and farsighted actors," Nature Energy, Nature, vol. 9(6), pages 691-702, June.
    15. Zhang, Junli & Ge, Bin & Xu, Hongsheng, 2013. "An equivalent marginal cost-pricing model for the district heating market," Energy Policy, Elsevier, vol. 63(C), pages 1224-1232.
    16. Khademvatani, Asgar & Gordon, Daniel V., 2013. "A marginal measure of energy efficiency: The shadow value," Energy Economics, Elsevier, vol. 38(C), pages 153-159.
    17. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.
    18. 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).
    19. Xu, Han & Zhang, Lu & Wang, Xuanbo & Han, Baocheng & Luo, Zhengyuan & Bai, Bofeng, 2024. "Improved genetic algorithm for pipe diameter optimization of an existing large-scale district heating network," Energy, Elsevier, vol. 304(C).
    20. Li, Hailong & Sun, Qie & Zhang, Qi & Wallin, Fredrik, 2015. "A review of the pricing mechanisms for district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 56-65.
    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. Difs, Kristina & Trygg, Louise, 2009. "Pricing district heating by marginal cost," Energy Policy, Elsevier, vol. 37(2), pages 606-616, February.
    23. repec:abf:journl:174 is not listed on IDEAS
    24. Huynh, Thanh & Friedrich, Pascal & Thiem, Sebastian & Danov, Vladimir & Steinke, Florian & Niessen, Stefan, 2024. "Local multi-modal energy market for thermal–electric energy systems with consideration of temperature flexibility in heating subnetworks," Energy, Elsevier, vol. 313(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. Rusch, Katharina & Moser, Simon, 2025. "A new era of district heating thinking? Economic feasibility of implementing supra-regional connections of existing district heating networks," Energy, Elsevier, vol. 331(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. Rusch, Katharina & Moser, Simon, 2025. "A new era of district heating thinking? Economic feasibility of implementing supra-regional connections of existing district heating networks," Energy, Elsevier, vol. 331(C).
    2. Thommessen, Christian & Verheyen, Joana & Roes, Jürgen & Hoster, Harry, 2025. "Estimating the value of novel heat sources in district heating systems from the perspective of energy utilities using a merit order approach," Applied Energy, Elsevier, vol. 401(PA).
    3. Steinegger, Josef & Hammer, Andreas & Wallner, Stefan & Kienberger, Thomas, 2024. "Revolutionizing heat distribution: A method for harnessing industrial waste heat with supra-regional district heating networks," Applied Energy, Elsevier, vol. 372(C).
    4. Guo, Xiaodan & Xiao, Bowen, 2022. "How can pricing strategy for district heating help China realize cleaner residential heating?," Energy Economics, Elsevier, vol. 110(C).
    5. Zhu, Haohao & Wang, Xiluo & Wen, Yutong & Zhu, Jizhong & Li, Jiayi & Luo, Qingju & Liao, Chenlei, 2025. "A review of integrated energy system modeling and operation," Applied Energy, Elsevier, vol. 400(C).
    6. 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).
    7. Gonzalez-Salazar, Miguel & Klossek, Julia & Dubucq, Pascal & Punde, Thomas, 2023. "Portfolio optimization in district heating: Merit order or mixed integer linear programming?," Energy, Elsevier, vol. 265(C).
    8. Moser, Simon & Puschnigg, Stefan & Rodin, Valerie, 2020. "Designing the Heat Merit Order to determine the value of industrial waste heat for district heating systems," Energy, Elsevier, vol. 200(C).
    9. Lin, Jing & Lin, Boqiang, 2018. "Heat tariff and subsidy in China based on heat cost analysis," Energy Economics, Elsevier, vol. 71(C), pages 411-420.
    10. Jerez Monsalves, Juan & Bergaentzlé, Claire & Keles, Dogan, 2024. "Waste-heat recovery utilisation for district heating systems under diverse pricing schemes: A bi-level modelling approach," Applied Energy, Elsevier, vol. 375(C).
    11. Lygnerud, Kristina & Ottosson, Jonas & Kensby, Johan & Johansson, Linnea, 2021. "Business models combining heat pumps and district heating in buildings generate cost and emission savings," Energy, Elsevier, vol. 234(C).
    12. Song, Jingjing & Wallin, Fredrik & Li, Hailong, 2017. "District heating cost fluctuation caused by price model shift," Applied Energy, Elsevier, vol. 194(C), pages 715-724.
    13. 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).
    14. Meriläinen, Altti & Kosonen, Antti & Jokisalo, Juha & Kosonen, Risto & Kauranen, Pertti & Ahola, Jero, 2024. "Techno-economic evaluation of waste heat recovery from an off-grid alkaline water electrolyzer plant and its application in a district heating network in Finland," Energy, Elsevier, vol. 306(C).
    15. Sameti, Mohammad & Haghighat, Fariborz, 2018. "Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation," Energy, Elsevier, vol. 153(C), pages 575-591.
    16. Yuan, Meng & Vad Mathiesen, Brian & Schneider, Noémi & Xia, Jianjun & Zheng, Wen & Sorknæs, Peter & Lund, Henrik & Zhang, Lipeng, 2024. "Renewable energy and waste heat recovery in district heating systems in China: A systematic review," Energy, Elsevier, vol. 294(C).
    17. Dorotić, Hrvoje & Ban, Marko & Pukšec, Tomislav & Duić, Neven, 2020. "Impact of wind penetration in electricity markets on optimal power-to-heat capacities in a local district heating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    18. Dibos, Sina & Pesch, Thiemo & Benigni, Andrea, 2024. "HeatNetSim: An open-source simulation tool for heating and cooling networks suitable for future energy systems," Energy, Elsevier, vol. 312(C).
    19. Jonynas, Rolandas & Puida, Egidijus & Poškas, Robertas & Paukštaitis, Linas & Jouhara, Hussam & Gudzinskas, Juozas & Miliauskas, Gintautas & Lukoševičius, Valdas, 2020. "Renewables for district heating: The case of Lithuania," Energy, Elsevier, vol. 211(C).
    20. 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).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:326:y:2025:i:c:s0360544225018328. 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.