scholarly journals Numerical Investigation into the Air Flow Distributions of the Air Conditioning System in the Modular Data Center

2019 ◽  
Vol 11 (1) ◽  
pp. 91-107
Author(s):  
Hao Dong
2012 ◽  
Vol 249-250 ◽  
pp. 126-131 ◽  
Author(s):  
Jetsadaporn Priyadumkol ◽  
Chawalit Kittichaikarn

The power trend of using server systems in data center is continuously increasing. Cooling system consumed 38% of total energy usage which is a significant contribution in the energy consumption. As a result, the efficient energy usage in data center is concerned.Normally a raised-floor is widely used in data center cooling system which delivers cool air through perforated tiles to a front of server racks. However it is usually found that this cool air cannot effectively remove a heat dissipation at the top of server racks. Therefore, the environmental condition in data center must be designed strictly to avoid disruption that caused by overheat.This paper gives some guidelines to help in the better design. Commercial Computational Fluid Dynamics (CFD) program was used to analyze the air flow from raised-floor air conditioning system. A tetrahedral of 1.8 million meshes with k- turbulence model were used to obtain the air flow velocity and temperature distributions in the room. The model was validated by comparing simulation results with actual measurements. As a result, dimensionless parameters in the form of supply heat index(SHI), for understanding the optimization of relative airflow distribution to the heat load of server rack was found. It shows that these parameters provide an effective tool to the improvement of energy efficiency in raised floor data center.


2020 ◽  
Vol 34 (14n16) ◽  
pp. 2040123
Author(s):  
Yong-Liang Chen ◽  
Zi-Qiang Qin ◽  
Yao Li ◽  
Hai-Bo Wang ◽  
Sheryar Muhammad ◽  
...  

In high-density data center, energy consumption is increasing dramatically. For reducing the energy consumption, CFD software, Fluent 15.0, is used to simulate the flow and temperature field distribution with [Formula: see text] turbulence model and fluid–solid coupling method. Fans on the back of racks are simplified as walls with a certain pressure jump. Severs are treated as solid heat sources and porous media. Simulation results reveal that the temperature distribution on the back of racks is not uniform when air conditioners are arranged face-to-face, and local high temperature points emerge near the side wall of air conditioners. Factors affecting cooling efficiency, such as location of air conditioners, speed of inlets, distance of racks, etc., need to be improved. Geometric model is optimized by using a diagonal rack arrangement and drilling holes on the side wall. Based on this, four different cases with various hot aisle distance are proposed. Single and double modular data center are both simulated. Results of new model are better than those of baseline model.


2020 ◽  
Vol 160 ◽  
pp. 99-111 ◽  
Author(s):  
Zongwei Han ◽  
Haotian Wei ◽  
Xiaoqing Sun ◽  
Chenguang Bai ◽  
Da Xue ◽  
...  

2012 ◽  
Vol 164 ◽  
pp. 362-365
Author(s):  
Guang Zhen Cheng ◽  
Zuo Qing Liu ◽  
Hong Fei Lin

This paper provides a method of supply constant pressure air for air conditioning system. It analysis the energy consumption betwwen the damper adjuste air flow with variable frequency speed regulation adjuste air flow. The paper Introduce the Energy conservation principle of the frequency control blower. The supplying air Pipeline subject to a uniform force, the equipments mechanical properties was improved.The results show that Uses the frequency conversion velocity modulation to carry on supply constant pressure air, obviously reduces the energy consumption.The electrical motor starting characteristic is improved, realizes the electrical motor soft start.


2014 ◽  
Vol 672-674 ◽  
pp. 518-521
Author(s):  
Li Fei Song ◽  
Tao Li ◽  
Qi Fen Li ◽  
Lin Hui Zhao ◽  
Xin Zhao ◽  
...  

In this paper, the Unicom's medium-sized IDC room in a city of northern China is the research object for the study. Based on field research of the room refrigeration conditions, data center room air conditioning system is carried out to optimize and for energy conservation research. Through the analytic methods of energy saving-technology, the best energy saving solutions is explored.


2014 ◽  
Vol 602-605 ◽  
pp. 928-932
Author(s):  
Min Li ◽  
Yun Wang ◽  
Zheng Qian Feng ◽  
Wang Li

By studying the energy-saving technologies of air-conditioning system in data centers, we designed a intelligent air conditioning system, improved the cooling efficiency of air conditioning system through a reasonable set of hot and cold aisles, reduced the running time of HVAC by using the intelligent heat exchange system, an provided a reference for energy saving research of air conditioning system of data centers.


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