Acknowledgement
All animal experiments were approved by the Animal Experiment Ethics Committee of Huazhong University of Science and Technology. We also thank the Analytical and Testing Centre (HUST), the Research Core Facilities for Life Science (HUST) and the Centre for Nanoscale Characterization & Devices (CNCD) at WNLO of HUST for the help of measurement.
References
- Geng H (2014) Data centers-strategic planning, design, construction, and operations. Data center handbook. Wiley, Hoboken, pp 1-14
- Kant K (2009) Data center evolution. A tutorial on state of the art, issues, and challenges. Comput Netw 53:2939-2965. https://doi.org/10.1016/j.comnet.2009.10.004
- Muhammad S, Pan Y, Magazzino C, Luo Y, Waqas M (2022) The fourth industrial revolution and environmental efficiency: the role of fintech industry. J Clean Prod 381:135-196. https://doi.org/10.1016/j.jclepro.2022.135196
- Rong H, Zhang H, Xiao S, Li C, Hu C (2016) Optimizing energy consumption for data centers. Renew Sust Energ Rev 58:674-691. https://doi.org/10.1016/j.rser.2015.12.283
- Cui DE, Zhou C, Luo Y, Lei Q, Tian Z, Zhang S, Fan J, Zhang L (2023) Multi-scale modeling and fast inference for thermal environment analysis of air-cooled data center. J Build Eng 78:107722. https://doi.org/10.1016/j.jobe.2023.107722
- Shao X, Zhang Z, Song P, Feng Y, Wang X (2022) A review of energy effciency evaluation metrics for data centers. Energ Buildings 271:112308. https://doi.org/10.1016/j.enbuild.2022.112308
- Ma X, Shi W, Yang H (2023) Improving the performance of indirect evaporative cooler for energy recovery from the perspective of nozzle configuration: a CFD model analysis. J Build Eng 76:107195. https://doi.org/10.1016/j.jobe.2023.107195
- Zhang Y, Shan K, Li X, Li H, Wang S (2023) Research and Technologies for next-generation high-temperature data centers - State-of-the-arts and future perspectives. Renew Sust Energ Rev 171:112991. https://doi.org/10.1016/j.rser.2022.112991
- Han X, Tian W, VanGilder J, Zuo W, Faulkner C (2021) An open source fast fluid dynamics model for data center thermal management. Energ Build 230:110599. https://doi.org/10.1016/j.enbuild.2020.110599
- Zhang Q, Meng Z, Hong X, Zhan Y, Liu J, Dong J, Bai T, Niu J, Deen MJ (2021) A survey on data center cooling systems: technology, power consumption modeling and control strategy optimization. J Syst Archit 119:102253. https://doi.org/10.1016/j.sysarc.2021.102253
- Haghshenas K, Setz B, Blosch Y, Aiello M (2023) Enough hot air: the role of immersion cooling. Energy Informatics 6:14. https://doi.org/10.1186/s42162-023-00269-0
- Deymi-Dashtebayaz M, Valipour Namanlo S, Arabkoohsar A (2019) Simultaneous use of air-side and water-side economizers with the air source heat pump in a data center for cooling and heating production. Appl Therm Eng 161:114-133. https://doi.org/10.1016/j.applthermaleng.2019.114133
- Nada SA, Said MA (2017) Comprehensive study on the effects of plenum depths on air flow and thermal managements in data centers. Int J Therm Sci 122:302-312. https://doi.org/10.1016/j.ijthermalsci.2017.09.001
- Tradat MI, Manaserh YMA, Sammakia BG, Hoang CH, Alissa HA (2021) An experimental and numerical investigation of novel solution for energy management enhancement in data centers using underfloor plenum porous obstructions. Appl Energ 289:116663. https://doi.org/10.1016/j.apenergy.2021.116663
- Deymi-Dashtebayaz M, Farahnak M, Abadi RNB (2019) Energy saving and environmental impact of optimizing the number of condenser fans in centrifugal chillers under partial load operation. Int J Refrig 103:163-179. https://doi.org/10.1016/j.ijrefrig.2019.03.020
- Deymi-Dashtebayaz M, Farahnak M, Morafa M, Ghalami A, Mohammadi N (2018) Experimental evaluation of refrigerant mass charge and ambient air temperature effects on performance of air-conditioning systems. Heat Mass Transfer 54:803-812. https://doi.org/10.1007/s00231-017-2173-6
- Zhang K, Zhang Y, Liu J, Niu X (2018) Recent advancements on thermal management and evaluation for data centers. Appl Therm Eng 142:215-231. https://doi.org/10.1016/j.applthermaleng.2018.07.004
- Mi R, Bai X, Xu X, Ren F (2023) Energy performance evaluation in a data center with water-side free cooling. Energ Build 295:113278. https://doi.org/10.1016/j.enbuild.2023.113278
- Jin C, Bai X, Yang C (2019) Effects of airflow on the thermal environment and energy efficiency in raised-floor data centers: a review. Sci Total Environ 695:133801. https://doi.org/10.1016/j.scitotenv.2019.133801
- Li D, Zhang Y, Song J, Liu H, Jiang J (2022) Energy saving with zero hot spots: a novel power control approach for sustainable and stable data centers. Sustainability 14:9005. https://doi.org/10.3390/su14159005
- Li Z, Kandlikar SG (2015) Current status and future trends in data-center cooling technologies. Heat Transf Eng 36:523-538. https://doi.org/10.1080/01457632.2014.939032
- Luo Q, Wang C, Wu C (2023) Study on heat transfer performance of immersion system based on SiC/white mineral oil composite nanofluids. Int J Therm Sci 187:108-203. https://doi.org/10.1016/j.ijthermalsci.2023.108203
- Kuncoro IW, Pambudi NA, Biddinika MK, Widiastuti I, Hijriawan M, Wibowo KM (2019) Immersion cooling as the next technology for data center cooling: a review. J Phys: Conf Ser 1402:044-057. https://doi.org/10.1088/1742-6596/1402/4/044057
- Tong Z, Han Z, Fang C, Wen X (2023) Two-phase thermosyphon loop with different working fluids used in data centers. Int J Heat Mass Transf 214:124393. https://doi.org/10.1016/j.ijheatmasstransfer.2023.124393
- Ji X, Yang X, Zhang Y, Zhang Y, Wei J (2022) Experimental study of ultralow fow resistance fractal microchannel heat sinks for electronics cooling. Int J Therm Sci 179:107723. https://doi.org/10.1016/j.ijthermalsci.2022.107723
- Zhang H, Shao S, Xu H, Zou H, Tian C (2014) Free cooling of data centers: a review. Renew Sust Energ Rev 35:171-182. https://doi.org/10.1016/j.rser.2014.04.017
- Poller WC, Downey J, Mooslechner AA, Khan N, Li L, Chan CT, McAlpine CS, Xu C, Kahles F, He S, Janssen H, Mindur JE, Singh S, Kiss MG, Alonso-Herranz L, Iwamoto Y, Kohler RH, Wong LP, Chetal K, Russo SJ, Sadreyev RI, Weissleder R, Nahrendorf M, Frenette PS, Divangahi M, Swirski FK (2022) Brain motor and fear circuits regulate leukocytes during acute stress. Nature 607:578-584. https://doi.org/10.1038/s41586-022-04890-z