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Research Article

Performance analysis and optimization of free cooling strategies for a liquid-cooled data center

Weinan Zhou1,2,3Qin Sun1,3( )Weimin Luo1,2Wei Xiao4Pengfei Cui5Wei Wu6Kaijun Dong1,3
Guangzhou Institute of Energy Conversion; Chinese Academy of Sciences, Guangzhou, China
University of Chinese Academy of Sciences, Beijing, China
Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou, China
Guangdong Fushengda Intelligent Technology Co., Ltd., Dongguan 523770, China
Guangzhou Goaland Energy Conservation Tech. Co., Ltd., Guangzhou 510663, China
School of Energy and Environment, City University of Hong Kong, Hong Kong, China
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Abstract

The increasing power density of IT electronics and the enormous energy consumption of data centers lead to the urgent demand for efficient cooling technology. Due to its efficiency and safety, liquid-cooled heat sink technology may gradually replace air-cooled technology over time. With the ambient or higher water supply temperature, the liquid-cooled technology shortens the operating time of the chiller and improves its coefficient of performance, while the pump power consumption may increase for satisfying the constant cooling capacity. Therefore, it is significant to study the optimal water supply temperature to achieve energy-efficient operation of data centers. A virtual 30.1 kW data center is considered as the case, the liquid-cooled system is constructed with a combination of innovative manifold microchannel heat sink with oblique fins and indirect evaporative cooling technology to minimize energy consumption. A hybrid thermal management model integrating the heat dissipation model and the power consumption model is established by TRNSYS and FLUENT software. To the highest chip-safe operating temperature premise, the energy performance is analyzed under various water supply temperatures in Guangzhou. The result shows that only 21.5-hour mechanical cooling is needed with the 30 ℃ server inlet temperature throughout the year. And the minimized power consumption occurs with the constant 29 ℃ server inlet temperature. Moreover, the temperature adaptive control strategy (TACS) is adopted to test the cooling system power consumption under different regulation frequencies, and the by-week TACS can achieve another 11.5% energy saving than the minimum power consumption of the constant temperature control strategy.

References

 

Agrawal A, Khichar M, Jain S (2016). Transient simulation of wet cooling strategies for a data center in worldwide climate zones. Energy and Buildings, 127: 352–359.

 
Alexander M (2016). Data center CCP reducing cost and carbon emissions. Group Marketing and Compliance Manager.
 
Campbell L, Tuma P (2012). Numerical prediction of the junction-to-fluid thermal resistance of a 2-phase immersion-cooled IBM dual core POWER6 processor. In: Proceedings of the 28th Annual IEEE Semiconductor Thermal Measurement and Management Symposium, San Jose, CA, USA.
 

Comino F, Milani S, De Antonellis S, et al. (2018). Simplified performance correlation of an indirect evaporative cooling system: development and validation. International Journal of Refrigeration, 88: 307–317.

 

De Antonellis S, Joppolo CM, Liberati P, et al. (2016). Experimental analysis of a cross flow indirect evaporative cooling system. Energy and Buildings, 121: 130–138.

 

De Antonellis S, Joppolo CM, Liberati P (2019). Performance measurement of a cross-flow indirect evaporative cooler: Effect of water nozzles and airflows arrangement. Energy and Buildings, 184: 114–121.

 

De Antonellis S, Cignatta L, Facchini C, et al. (2020). Effect of heat exchanger plates geometry on performance of an indirect evaporative cooling system. Applied Thermal Engineering, 173: 115200.

 

Drummond KP, Back D, Sinanis MD, et al. (2018). Characterization of hierarchical manifold microchannel heat sink arrays under simultaneous background and hotspot heating conditions. International Journal of Heat and Mass Transfer, 126: 1289–1301.

 

Durand-Estebe B, Le Bot C, Mancos JN, et al. (2014). Simulation of a temperature adaptive control strategy for an IWSE economizer in a data center. Applied Energy, 134: 45–56.

 
ENERGY STAR (2018). ENERGY STAR Score for Data Centers in the United States. Available at https://www.energystar.gov/buildings/tools-and-resources/energy-star-score-data-centers.
 

Gao T, David M, Geer J, et al. (2015). Experimental and numerical dynamic investigation of an energy efficient liquid cooled chiller-less data center test facility. Energy and Buildings, 91: 83–96.

 

Ham S-W, Kim M-H, Choi B-N, et al. (2015). Energy saving potential of various air-side economizers in a modular data center. Applied Energy, 138: 258–275.

 

He W, Zhang J, Li H, et al. (2022). Optimal thermal management of server cooling system based cooling tower under different ambient temperatures. Applied Thermal Engineering, 207: 118176.

 

Kim M-H, Ham S-W, Park J-S, et al. (2014). Impact of integrated hot water cooling and desiccant-assisted evaporative cooling systems on energy savings in a data center. Energy, 78: 384–396.

 

Lee YJ, Lee PS, Chou SK (2012). Enhanced thermal transport in microchannel using oblique fins. Journal of Heat Transfer, 134: 1.

 

Liu Q, Guo C, Wu Z, et al. (2022). Heat and mass transfer model optimization and annual energy efficiency analysis for energy recovery indirect evaporative cooling. Building Simulation, 15: 1353–1365.

 

Nadjahi C, Louahlia H, Lemasson S (2018). A review of thermal management and innovative cooling strategies for data center. Sustainable Computing: Informatics and Systems, 19: 14–28.

 

Oró E, Depoorter V, Garcia A, et al. (2015). Energy efficiency and renewable energy integration in data centres. Strategies and modelling review. Renewable and Sustainable Energy Reviews, 42: 429–445.

 

Raza HMU, Sultan M, Bahrami M, et al. (2021). Experimental investigation of evaporative cooling systems for agricultural storage and livestock air-conditioning in Pakistan. Building Simulation, 14: 617–631.

 

Sarangi S, Bodla KK, Garimella SV, et al. (2014). Manifold microchannel heat sink design using optimization under uncertainty. International Journal of Heat and Mass Transfer, 69: 92–105.

 

Sbaity AA, Louahlia H, Le Masson S (2022). Study of annual performance and capacity of data center passive cooling mode. International Journal of Energy Research, 46: 4204–4221.

 

Sohel Murshed SM, Nieto de Castro CA (2017). A critical review of traditional and emerging techniques and fluids for electronics cooling. Renewable and Sustainable Energy Reviews, 78: 821–833.

 

Soleymani Z, Rahimi M, Gorzin M, Pahamli Y (2020). Performance analysis of hotspot using geometrical and operational parameters of a microchannel pin-fin hybrid heat sink. International Journal of Heat and Mass Transfer, 159: 120141.

 
TESS (2012). TESSLibs 17 – HVAC Library Mathematical Reference.
 
TRNSYS (2018). TRNSYS 18 Documentation. 4 Mathematical Reference.
 

van Erp R, Soleimanzadeh R, Nela L, et al. (2020). Co-designing electronics with microfluidics for more sustainable cooling. Nature, 585: 211–216.

 

Vilarrubí M, Riera S, Ibañez M, et al. (2018). Experimental and numerical study of micro-pin-fin heat sinks with variable density for increased temperature uniformity. International Journal of Thermal Sciences, 132: 424–434.

 

Yang M, Cao B-Y (2019). Numerical study on flow and heat transfer of a hybrid microchannel cooling scheme using manifold arrangement and secondary channels. Applied Thermal Engineering, 159: 113896.

 

Zhang Y, Zhang Y, Bakir MS (2014). Thermal design and constraints for heterogeneous integrated chip stacks and isolation technology using air gap and thermal bridge. IEEE Transactions on Components, Packaging and Manufacturing Technology, 4: 1914–1924.

Building Simulation
Pages 1317-1330
Cite this article:
Zhou W, Sun Q, Luo W, et al. Performance analysis and optimization of free cooling strategies for a liquid-cooled data center. Building Simulation, 2023, 16(8): 1317-1330. https://doi.org/10.1007/s12273-023-1012-6

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Received: 15 December 2022
Revised: 02 February 2023
Accepted: 20 February 2023
Published: 17 July 2023
© Tsinghua University Press 2023
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