Experimental and computational study of perforated floor tile in data centers

Abdelmaksoud, Waleed A.; Khalifa, H. Ezzat; Dang, Thong Q.; Elhadidi, Basman; Schmidt, Roger; Iyengar, Madhusudan

doi:10.1109/itherm.2010.5501413

Cited by 44 publications

(20 citation statements)

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“…Early simulations of data centers focused on modeling a raised floor and perforated tiles to accurately predict the boundary conditions [46][47][48][49][50][51][52]. We believe that not only does heterogeneous airflow in the cold aisle (hot air recirculation and cold air bypass) depend on airflow distribution from the tiles, the airflow outlet angle also influences the distribution of cold air.…”

Section: Effect Of Airflow Outlet Angle Of Tiles On Air Distributionmentioning

confidence: 99%

Simulation of Thermal Distribution and Airflow for Efficient Energy Consumption in a Small Data Centers

Jin

Zhang

et al. 2017

Sustainability

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Data centers have become ubiquitous in the last few years in an attempt to keep pace with the processing and storage needs of the Internet and cloud computing. The steady growth in the heat densities of IT servers leads to a rise in the energy needed to cool them, and constitutes approximately 40% of the power consumed by data centers. However, many data centers feature redundant air conditioning systems that contribute to inefficient air distribution, which significantly increases energy consumption. This remains an insufficiently explored problem. In this paper, a typical, small data center with tiles for an air supply system with a raised floor is used. We use a fluent (Computational Fluid Dynamics, CFD) to simulate thermal distribution and airflow, and investigate the optimal conditions of air distribution to save energy. The effects of the airflow outlet angle along the tile, the cooling temperature and the rate of airflow on the beta index as well as the energy utilization index are discussed, and the optimal conditions are obtained. The reasonable airflow distribution achieved using 3D CFD calculations and the parameter settings provided in this paper can help reduce the energy consumption of data centers by improving the efficiency of the air conditioning.

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Section: Effect Of Airflow Outlet Angle Of Tiles On Air Distributionmentioning

confidence: 99%

Simulation of Thermal Distribution and Airflow for Efficient Energy Consumption in a Small Data Centers

Jin

Zhang

et al. 2017

Sustainability

View full text Add to dashboard Cite

show abstract

“…Tile air flow is maintained at 1000 CFM (0.47 m 3 /s) even as the fraction of tile opening is varied (100%, 56% & 25%). Velocity profiles were obtained at 3 0 (0.9 m) height from floor, with the assumption of steady state and isothermal conditions that were validated with experiments [9].…”

Section: Governing Equationsmentioning

confidence: 99%

“…The simulation model has been validated from the literature [9]. It was found that 1) to model a tile having 56% open area; the CFD model must have 100% open area to obtain similar tile flow rates.…”

Section: Part Imentioning

confidence: 99%

“…Current CFD simulation studies often assume that the tile flow can be modeled as constant velocity based on a fully open tile. Hence Abdelmaksoud et al [9] forced the mass flux to equal that of the experiments, at the expense of underpredicting momentum flux. Combined experimental and computational studies were carried out to quantify the importance of geometry and it was found that for proper prediction of the mixing process, the detailed tile opening patterns must be taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

“…The paper is mainly divided into two parts: 1) To verify the detailed perforated tiles geometry from literature and quantification of tile air flow rate and 2) To analyze flow distribution in plenum chamber of an RFP data center with different cases. In first part 25%, 56% & 100% perforated tiles were analyzed individually (validated with literature values [9]) and the thermal profiles for perforated tiles having open areas 25%, 36% and 50% were studied. In second part, seven different models were simulated using a geometry adapted from Joshi et al [16].…”

Section: Introductionmentioning

confidence: 99%

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