IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v319y2025ics0360544225005766.html
   My bibliography  Save this article

A new framework for evaluating and enhancing the performance of district heating systems integrated with data centres using short-term thermal energy storage

Author

Listed:
  • Du, Han
  • Zhou, Xinlei
  • Nord, Natasa
  • Carden, Yale
  • Cui, Ping
  • Ma, Zhenjun

Abstract

This paper proposes a new framework to assess and enhance the performance of district heating (DH) systems integrated with data centres (DCs). This framework utilizes six key performance indicators tailored specifically for DH and DC hybrid systems to evaluate energy flexibility, energy efficiency, and operational cost savings. To further enhance system flexibility, a dual short-term thermal energy storage (TES) solution is proposed, enabling peak shaving and load shifting of the hybrid system through price-driven and demand-driven strategies, supported by a hybrid global optimization algorithm. A parametric study is also carried out to investigate the impact of water tank size on system performance across a wide range of energy storage scenarios. A case study of a DH and DC hybrid system in Norway demonstrated the effectiveness of the framework in capturing the performance characteristics of the hybrid system. This study showed that incorporating dual water tanks and the proposed energy management strategies achieved a 2.1 % increase in the load shifting ratio, a 10 % increase in the peak demand reduction ratio, and a 3.2 % decrease in the total operational cost. The parametric analysis revealed that larger TES sizes increased peak shaving capacity and cost reduction, albeit with minimal impact on load shifting capacity.

Suggested Citation

  • Du, Han & Zhou, Xinlei & Nord, Natasa & Carden, Yale & Cui, Ping & Ma, Zhenjun, 2025. "A new framework for evaluating and enhancing the performance of district heating systems integrated with data centres using short-term thermal energy storage," Energy, Elsevier, vol. 319(C).
  • Handle: RePEc:eee:energy:v:319:y:2025:i:c:s0360544225005766
    DOI: 10.1016/j.energy.2025.134934
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225005766
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.134934?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. Hou, Juan & Li, Haoran & Nord, Natasa & Huang, Gongsheng, 2023. "Model predictive control for a university heat prosumer with data centre waste heat and thermal energy storage," Energy, Elsevier, vol. 267(C).
    2. Ieva Pakere & Kirils Goncarovs & Armands Grāvelsiņš & Marita Agate Zirne, 2024. "Dynamic Modelling of Data Center Waste Heat Potential Integration in District Heating in Latvia," Energies, MDPI, vol. 17(2), pages 1-13, January.
    3. Khosravi, A. & Laukkanen, T. & Vuorinen, V. & Syri, S., 2021. "Waste heat recovery from a data centre and 5G smart poles for low-temperature district heating network," Energy, Elsevier, vol. 218(C).
    4. Tervo, Seela & Syri, Sanna & Hiltunen, Pauli, 2025. "Reducing district heating carbon dioxide emissions with data center waste heat – Region perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    5. Ebrahimi, Khosrow & Jones, Gerard F. & Fleischer, Amy S., 2014. "A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 622-638.
    6. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
    7. 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).
    8. Awan, Muhammad Bilal & Sun, Yongjun & Lin, Wenye & Ma, Zhenjun, 2023. "A framework to formulate and aggregate performance indicators to quantify building energy flexibility," Applied Energy, Elsevier, vol. 349(C).
    9. Li, Haoran & Hou, Juan & Hong, Tianzhen & Ding, Yuemin & Nord, Natasa, 2021. "Energy, economic, and environmental analysis of integration of thermal energy storage into district heating systems using waste heat from data centres," Energy, Elsevier, vol. 219(C).
    10. Huang, Pei & Copertaro, Benedetta & Zhang, Xingxing & Shen, Jingchun & Löfgren, Isabelle & Rönnelid, Mats & Fahlen, Jan & Andersson, Dan & Svanfeldt, Mikael, 2020. "A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating," Applied Energy, Elsevier, vol. 258(C).
    11. Socci, Luca & Rocchetti, Andrea & Verzino, Antonio & Zini, Andrea & Talluri, Lorenzo, 2024. "Enhancing third-generation district heating networks with data centre waste heat recovery: analysis of a case study in Italy," Energy, Elsevier, vol. 313(C).
    12. Lake, Andrew & Rezaie, Behanz & Beyerlein, Steven, 2017. "Review of district heating and cooling systems for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 417-425.
    13. Liu, Zhan & Zhang, Yilun & Zhang, Yao & Su, Chuanqi, 2024. "Performance of a high-temperature transcritical pumped thermal energy storage system based on CO2 binary mixtures," Energy, Elsevier, vol. 305(C).
    14. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    15. Zhang, Weifeng & Ding, Jialu & Yin, Suzhen & Zhang, Fangyuan & Zhang, Yao & Liu, Zhan, 2024. "Thermo-economic optimization of an artificial cavern compressed air energy storage with CO2 pressure stabilizing unit," Energy, Elsevier, vol. 294(C).
    16. 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.
    17. 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.
    18. 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).
    19. Du, Han & Zhou, Xinlei & Nord, Natasa & Carden, Yale & Ma, Zhenjun, 2023. "A new data mining strategy for performance evaluation of a shared energy recovery system integrated with data centres and district heating networks," Energy, Elsevier, vol. 285(C).
    20. Alimohammadisagvand, Behrang & Jokisalo, Juha & Kilpeläinen, Simo & Ali, Mubbashir & Sirén, Kai, 2016. "Cost-optimal thermal energy storage system for a residential building with heat pump heating and demand response control," Applied Energy, Elsevier, vol. 174(C), pages 275-287.
    21. Kensby, Johan & Trüschel, Anders & Dalenbäck, Jan-Olof, 2015. "Potential of residential buildings as thermal energy storage in district heating systems – Results from a pilot test," Applied Energy, Elsevier, vol. 137(C), pages 773-781.
    22. Yan, Xing & Ozturk, Yusuf & Hu, Zechun & Song, Yonghua, 2018. "A review on price-driven residential demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 411-419.
    23. Alimohammadisagvand, Behrang & Jokisalo, Juha & Sirén, Kai, 2018. "Comparison of four rule-based demand response control algorithms in an electrically and heat pump-heated residential building," Applied Energy, Elsevier, vol. 209(C), pages 167-179.
    24. Lygnerud, Kristina & Yang, Ying, 2024. "Capturing flexibility gains by price models for district heating," Energy, Elsevier, vol. 294(C).
    25. Flynn, Ciarán & Sirén, Kai, 2015. "Influence of location and design on the performance of a solar district heating system equipped with borehole seasonal storage," Renewable Energy, Elsevier, vol. 81(C), pages 377-388.
    26. 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).
    27. 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).
    28. 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.
    29. Sifnaios, Ioannis & Sneum, Daniel Møller & Jensen, Adam R. & Fan, Jianhua & Bramstoft, Rasmus, 2023. "The impact of large-scale thermal energy storage in the energy system," Applied Energy, Elsevier, vol. 349(C).
    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. Socci, Luca & Rocchetti, Andrea & Verzino, Antonio & Zini, Andrea & Talluri, Lorenzo, 2024. "Enhancing third-generation district heating networks with data centre waste heat recovery: analysis of a case study in Italy," Energy, Elsevier, vol. 313(C).
    2. 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).
    3. Hou, Juan & Li, Haoran & Nord, Natasa & Huang, Gongsheng, 2023. "Model predictive control for a university heat prosumer with data centre waste heat and thermal energy storage," Energy, Elsevier, vol. 267(C).
    4. 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).
    5. 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).
    6. Meibodi, Saleh S. & Rees, Simon & Loveridge, Fleur, 2024. "Modeling district heating pipelines using a hybrid dynamic thermal network approach," Energy, Elsevier, vol. 290(C).
    7. 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).
    8. 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).
    9. Janne Suhonen & Juha Jokisalo & Risto Kosonen & Ville Kauppi & Yuchen Ju & Philipp Janßen, 2020. "Demand Response Control of Space Heating in Three Different Building Types in Finland and Germany," Energies, MDPI, vol. 13(23), pages 1-35, November.
    10. Guelpa, Elisa & Verda, Vittorio, 2021. "Demand response and other demand side management techniques for district heating: A review," Energy, Elsevier, vol. 219(C).
    11. 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).
    12. Danica Djurić Ilić, 2020. "Classification of Measures for Dealing with District Heating Load Variations—A Systematic Review," Energies, MDPI, vol. 14(1), pages 1-27, December.
    13. Guelpa, E. & Capone, M. & Sciacovelli, A. & Vasset, N. & Baviere, R. & Verda, V., 2023. "Reduction of supply temperature in existing district heating: A review of strategies and implementations," Energy, Elsevier, vol. 262(PB).
    14. 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.
    15. He, Ke-Lun & Zhao, Tian & Ma, Huan & Chen, Qun, 2023. "Optimal operation of integrated power and thermal systems for flexibility improvement based on evaluation and utilization of heat storage in district heating systems," Energy, Elsevier, vol. 274(C).
    16. Abdelsalam, Mohamed Y. & Friedrich, Kelton & Mohamed, Saber & Chebeir, Jorge & Lakhian, Vickram & Sullivan, Brendan & Abdalla, Ahmed & Van Ryn, Jessica & Girard, Jeffrey & Lightstone, Marilyn F. & Buc, 2023. "Integrated community energy and harvesting systems: A climate action strategy for cold climates," Applied Energy, Elsevier, vol. 346(C).
    17. 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).
    18. Omais Abdur Rehman & Valeria Palomba & Andrea Frazzica & Luisa F. Cabeza, 2021. "Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage," Energies, MDPI, vol. 14(24), pages 1-30, December.
    19. 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).
    20. 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).

    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:319:y:2025:i:c:s0360544225005766. 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.