Article Heat recovery and heating system for liquid-cooled data center: Energy, economic, and environmental analysis

Authors

  • Wuming Cai School of Energy and Mechanical Engineering, Nanjing Normal University, Nanjing 210023, China
  • Hao Li School of Energy and Mechanical Engineering, Nanjing Normal University, Nanjing 210023, China
  • Chong Zhai School of Energy and Mechanical Engineering, Nanjing Normal University, Nanjing 210023, China https://orcid.org/0000-0002-9791-7848
  • Dong Li School of Energy and Mechanical Engineering, Nanjing Normal University, Nanjing 210023, China https://orcid.org/0000-0002-1044-7581
Article ID: 630
23 Views

DOI:

https://doi.org/10.18686/cest630

Keywords:

liquid-cooling data center; heat recovery; real-time load fluctuation; partial power usage effectiveness; economic and environmental analysis

Abstract

With the rapid growth of data centers driven by information technology development, a significant amount of waste heat generated by cooling systems is currently not effectively utilized and is often discarded. Recovering this waste heat is therefore of great importance for improving overall energy efficiency and promoting low-carbon operation. In this study, we simulate a cold plate liquid cooling system integrated with a waste heat recovery unit that utilizes different natural cooling sources, taking into account real-time fluctuations in thermal load demand. The results show that, compared with conventional liquid-cooling systems without heat recovery, the proposed configurations reduce cooling system power consumption by approximately 20–30% across all operating conditions. The minimum partial Power Usage Effectiveness (pPUE) reaches 1.13, indicating a highly efficient cooling subsystem. Moreover, up to 23% of the energy consumed in the data center can be effectively reused when temperature constraints of the heat user are considered. From an economic perspective, selling the recovered heat for domestic hot water production can reduce the annual operating cost of the liquid-cooling system by approximately ¥200,000, resulting in a short payback period. From an environmental perspective, the waste heat recovery system significantly supports low-carbon heating, reducing carbon emissions by about 110 tCO2 per year compared with conventional gas boilers and air-source heat pumps. Overall, this study demonstrates that liquid-cooled data centers can serve as reliable and economically attractive heat sources under realistic dynamic operating conditions, providing practical guidance for large-scale waste heat recovery deployment.

Downloads

Published

2026-03-17

How to Cite

Cai, W., Li, H., Zhai, C., & Li, D. (2026). Article Heat recovery and heating system for liquid-cooled data center: Energy, economic, and environmental analysis. Clean Energy Science and Technology, 4(2). https://doi.org/10.18686/cest630

References

1. Li Z, Luo H, Jiang Y, et al. Comprehensive review and future prospects on chip-scale thermal management: Core of data center's thermal management. Applied Thermal Engineering. 2024; 251: 123612. doi: 10.1016/j.applthermaleng.2024.123612 DOI: https://doi.org/10.1016/j.applthermaleng.2024.123612

2. Zhang Y, Fan C, Li G. Discussions of Cold Plate Liquid Cooling Technology and Its Applications in Data Center Thermal Management. Frontiers in Energy Research. 2022; 10: 954718. doi: 10.3389/fenrg.2022.954718 DOI: https://doi.org/10.3389/fenrg.2022.954718

3. Kong R, Zhang H, Tang M, et al. Enhancing data center cooling efficiency and ability: A comprehensive review of direct liquid cooling technologies. Energy. 2024; 308: 132846. doi: 10.1016/j.energy.2024.132846 DOI: https://doi.org/10.1016/j.energy.2024.132846

4. Hao Y, Zhou H, Tian T, et al. Data centers waste heat recovery technologies: Review and evaluation. Applied Energy. 2025; 384: 125489. doi: 10.1016/j.apenergy.2025.125489 DOI: https://doi.org/10.1016/j.apenergy.2025.125489

5. Ding J, Zhang H, Leng D, et al. Experimental investigation and application analysis on an integrated system of free cooling and heat recovery for data centers. International Journal of Refrigeration. 2022; 136: 142–151. doi: 10.1016/j.ijrefrig.2022.01.003 DOI: https://doi.org/10.1016/j.ijrefrig.2022.01.003

6. Ebrahimi K, Jones GF, Fleischer AS. A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities. Renewable and Sustainable Energy Reviews. 2014; 31: 622–638. doi: 10.1016/j.rser.2013.12.007 DOI: https://doi.org/10.1016/j.rser.2013.12.007

7. Nadjahi C, Louahlia H, Lemasson S. A review of thermal management and innovative cooling strategies for data center. Sustainable Computing: Informatics and Systems. 2018; 19: 14–28. doi: 10.1016/j.suscom.2018.05.002 DOI: https://doi.org/10.1016/j.suscom.2018.05.002

8. Davies GF, Maidment GG, Tozer RM. Using data centres for combined heating and cooling: An investigation for London. Applied Thermal Engineering. 2016; 94: 296–304. doi: 10.1016/j.applthermaleng.2015.09.111 DOI: https://doi.org/10.1016/j.applthermaleng.2015.09.111

9. Deymi-Dashtebayaz M, Valipour-Namanlo S. Thermoeconomic and environmental feasibility of waste heat recovery of a data center using air source heat pump. Journal of Cleaner Production. 2019; 219: 117–126. doi: 10.1016/j.jclepro.2019.02.061 DOI: https://doi.org/10.1016/j.jclepro.2019.02.061

10. Oró E, Allepuz R, Martorell I, et al. Design and economic analysis of liquid cooled data centres for waste heat recovery: A case study for an indoor swimming pool. Sustainable Cities and Society. 2018; 36: 185–203. doi: 10.1016/j.scs.2017.10.012 DOI: https://doi.org/10.1016/j.scs.2017.10.012

11. Zimmermann S, Meijer I, Tiwari MK, et al. Aquasar: A hot water cooled data center with direct energy reuse. Energy. 2012; 43(1): 237–245. doi: 10.1016/j.energy.2012.04.037 DOI: https://doi.org/10.1016/j.energy.2012.04.037

12. Marcinichen JB, Olivier JA, Thome JR. On-chip two-phase cooling of datacenters: Cooling system and energy recovery evaluation. Applied Thermal Engineering. 2012; 41: 36–51. doi: 10.1016/j.applthermaleng.2011.12.008 DOI: https://doi.org/10.1016/j.applthermaleng.2011.12.008

13. Carbó A, Oró E, Salom J, et al. Experimental and numerical analysis for potential heat reuse in liquid cooled data centres. Energy Conversion and Management. 2016; 112: 135–145. doi: 10.1016/j.enconman.2016.01.003 DOI: https://doi.org/10.1016/j.enconman.2016.01.003

14. Beaty DL. Internal IT load profile variability. ASHRAE Journal. 2013; 55(2): 72–74.

15. Zhu Y, Zhang Q, Zeng L, et al. An advanced control strategy of hybrid cooling system with cold water storage system in data center. Energy. 2024; 291: 130304. doi: 10.1016/j.energy.2024.130304 DOI: https://doi.org/10.1016/j.energy.2024.130304

16. Iyengar M, David M, Parida P, et al. Server liquid cooling with chiller-less data center design to enable significant energy savings. In: Proceedings of the 28th Annual IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM); 18–22 March 2012; San Jose, CA, USA. pp. 212–223. doi: 10.1109/STHERM.2012.6188851 DOI: https://doi.org/10.1109/STHERM.2012.6188851

17. Gao YB, Liu CJ, Zhao BZ. Design and Exploration on Liquid Cooling System of Blade Server. Electro-Mechanical Engineering. 2020; 36(6): 20–23. (in Chinese)

18. Wu XF. Application of Energy Saving Technology for Liquid Air Dual Channel Refrigeration System in a Data Center. Building Energy Environment. 2019; 38(6): 33–35. (in Chinese)

19. Chen JQ. Study on energy saving of refrigeration technology in high-performance cloud computing center. Refrigeration and Air-Conditioning. 2019; 19: 7–9. (in Chinese)

20. Shoukourian H, Wilde T, Huber H, et al. Analysis of the efficiency characteristics of the first High-Temperature Direct Liquid Cooled Petascale supercomputer and its cooling infrastructure. Journal of Parallel and Distributed Computing. 2017; 107: 87–100. doi: 10.1016/j.jpdc.2017.04.005 DOI: https://doi.org/10.1016/j.jpdc.2017.04.005

21. Xie CH, Zhao YY. Application of Liquid Cooling Technology in Communication Industry and Related Suggestions. Telecom Power Technology. 2019; 36(S1). (in Chinese)

22. Cho J, Park B, Jang S. Development of an independent modular air containment system for high-density data centers: Experimental investigation of row-based cooling performance and PUE. Energy. 2022; 258: 124787. doi: 10.1016/j.energy.2022.124787 DOI: https://doi.org/10.1016/j.energy.2022.124787

23. Xi C, Cao S-J. Challenges and Future Development Paths of Low Carbon Building Design: A Review. Buildings. 2022; 12(2): 163. doi: 10.3390/buildings12020163 DOI: https://doi.org/10.3390/buildings12020163

24. Ministry of Housing and Urban–Rural Development of the People's Republic of China. Data Center Design Specifications (GB 50174-2017). Ministry of Housing and Urban–Rural Development of the People's Republic of China; 2017. (in Chinese)

25. Zhou F, Tian X, Song Y, et al. Dynamic performance of an integrated heat pump system coupled free cooling and waste heat recovery in data centers. Energy. 2025; 323: 135838. doi: 10.1016/j.energy.2025.135838 DOI: https://doi.org/10.1016/j.energy.2025.135838

26. Yang R, Shue NS. Simulation Study for the Effect of the Storage Design on the Performance of a Large Solar Hot Water System. In: Proceedings of the 2013 IEEE Green Technologies Conference (GreenTech); 4–5 April 2013; Denver, CO, USA. pp. 467–472. doi: 10.1109/GreenTech.2013.77 DOI: https://doi.org/10.1109/GreenTech.2013.77