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Combining direct and indirect free cooling for data centers via transformation into a building-scale heat exchanger

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  • Kargar, Sajad
  • Moran, Jeffrey L.

Abstract

Data centers are pivotal to the global digital infrastructure but are responsible for substantial energy consumption and environmental impact, with cooling systems accounting for over 40 % of their energy use. This research addresses these challenges by proposing a novel dual-loop free cooling system that reduces reliance on traditional refrigeration-based cooling equipment, such as chillers or compressors. The system is designed to minimize capital and operational costs while maintaining an attractive power usage effectiveness across diverse climates. The proposed design transforms the data center structure into a counter-flow heat exchanger in which the hot and cold air streams are separated by a thermally and electrically conductive layer. The modular and scalable design can be incorporated into existing data center infrastructure, optimizing thermal management while reducing environmental footprint through a simplified, low-maintenance system. Using a combination of computational fluid dynamics simulations and theoretical models, we quantified the performance of the system under various climate conditions, including all 50 of the United States and several cities in other countries. The system consistently achieves a power usage effectiveness below 1.2 in cooler climates and maintains competitive performance in warmer, more humid regions. This research offers a sustainable, energy-efficient cooling solution that abides by industry standards and shows promise for broad application in data centers across the globe.

Suggested Citation

  • Kargar, Sajad & Moran, Jeffrey L., 2025. "Combining direct and indirect free cooling for data centers via transformation into a building-scale heat exchanger," Applied Energy, Elsevier, vol. 392(C).
  • Handle: RePEc:eee:appene:v:392:y:2025:i:c:s0306261925007032
    DOI: 10.1016/j.apenergy.2025.125973
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    References listed on IDEAS

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    1. Zhang, Hainan & Shao, Shuangquan & Xu, Hongbo & Zou, Huiming & Tian, Changqing, 2014. "Free cooling of data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 171-182.
    2. 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.
    3. Borkowski, Mateusz & Piłat, Adam Krzysztof, 2022. "Customized data center cooling system operating at significant outdoor temperature fluctuations," Applied Energy, Elsevier, vol. 306(PB).
    4. Sijun Xu & Hua Zhang & Zilong Wang, 2023. "Thermal Management and Energy Consumption in Air, Liquid, and Free Cooling Systems for Data Centers: A Review," Energies, MDPI, vol. 16(3), pages 1-25, January.
    5. Li, Chao & Mao, Ruiyong & Wang, Yong & Zhang, Jun & Lan, Jiang & Zhang, Zujing, 2024. "Experimental study on direct evaporative cooling for free cooling of data centers," Energy, Elsevier, vol. 288(C).
    6. Nicola Jones, 2018. "How to stop data centres from gobbling up the world’s electricity," Nature, Nature, vol. 561(7722), pages 163-166, September.
    7. Aili, Ablimit & Long, Wenjun & Cao, Zhiwei & Wen, Yonggang, 2024. "Radiative free cooling for energy and water saving in data centers," Applied Energy, Elsevier, vol. 359(C).
    8. Habibi Khalaj, Ali & Halgamuge, Saman K., 2017. "A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system," Applied Energy, Elsevier, vol. 205(C), pages 1165-1188.
    9. Siriwardana, Jayantha & Jayasekara, Saliya & Halgamuge, Saman K., 2013. "Potential of air-side economizers for data center cooling: A case study for key Australian cities," Applied Energy, Elsevier, vol. 104(C), pages 207-219.
    10. Matteo Manganelli & Alessandro Soldati & Luigi Martirano & Seeram Ramakrishna, 2021. "Strategies for Improving the Sustainability of Data Centers via Energy Mix, Energy Conservation, and Circular Energy," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
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