Coupled inviscid-viscous solution method for bounded domains: Application to data-center thermal management

Cruz, Ethan; Joshi, Yogendra

doi:10.1016/j.ijheatmasstransfer.2015.01.077

Cited by 11 publications

(2 citation statements)

References 33 publications

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“…The air velocity in base room is small, and the airflow is regarded as turbulence whose thermal properties are constant [35][36][37]. The k-ε model has the advantages of short calculation time, high stability, and reasonable prediction of large-scale turbulence; thus, it has been widely used in the simulation of airflow distribution in DCs [26,36,38,39]. Since the internal environment of base room is relatively closed and the internal air flow is large space flow, it is suitable for the model of high Reynolds number turbulence calculation [40,41].…”

Section: Control Equation and Turbulence Modelmentioning

confidence: 99%

Design and Thermal Environment Analysis of a Decentralized Cooling System with Surface-Mount Heat Pipe Exchangers on Servers in Data Centers

et al. 2022

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This paper proposes a decentralized cooling system combined with a traditional computer room air conditioning unit and server-level heat pipe exchangers for thermal environment optimization in a data center. Two cooling strategies, with heat exchangers installed above and below the servers respectively, are proposed and compared with the original CRACs system in terms of thermal environment. The simulation results of the original data center model are in good agreement with the on-site measurement results, and thus its reliability can be validated. The results show that a decentralized cooling system can effectively improve the thermal environment in data centers. To obtain the highest cooling efficiency, altogether 18 cases, where heat pipe exchangers were installed at different locations and heights, are analyzed and compared. The results show that the thermal environment is optimal when heat pipe exchangers are installed 0.01 m below each server. The local hotspot temperature is reduced by 6.8 °C, and the temperature distribution of the rack is the most uniform, which can effectively reduce the heat accumulation in data centers.

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Section: Control Equation and Turbulence Modelmentioning

confidence: 99%

Design and Thermal Environment Analysis of a Decentralized Cooling System with Surface-Mount Heat Pipe Exchangers on Servers in Data Centers

et al. 2022

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“…However, the standard k-turbulent is a currently widely used and accepted turbulent model used in the DC numerical simulations (Yuan et al, 2018), while its reliability and feasibility have been validated in many studies (Alkharabsheh et al, 2015;Cruz & Joshi, 2015;Ham & Jeong, 2016;Phan & Lin, 2014;Song, 2016). Some assumptions were taken into consideration in the simulation process with the standard k-model: (i) the ignorance of radiation effects, (ii) no air leakage, (iii) the air was regarded as an incompressible fluid, and the flow was considered to be steady turbulent flow, and (iv) the temperature of air flow supplied from all the tiles were the same.…”

Section: Governing Equationmentioning

confidence: 99%