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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2013(Vol.5, Issue:05)
Article Information:

The Multi-zonal Balance Model of Temperature Distribution in Data Center

1Zhao-wei Wang, 2Yuan-biao Zhang, 3Zi-yue Chen and 4Yuan-long Liu
Corresponding Author:  Zhao-wei Wang 
Submitted: July 31, 2012
Accepted: September 08, 2012
Published: February 11, 2013
Abstract:
For better characterizing the heat distribution of data centers, Multi-zone Model are considered in this paper, modularizing the cold and hot aisle space of a data center into several regular modules. Upon studying the thermal transmission between every two modules, the heat distribution of all cold and hot aisles in a data center was figured out. Firstly, while considering the thermal transmission, Multi-zone Heat-mass Balanced Model, a model improved from a traditional one, was established. Three modules, which are wall flow module, thermal plume module and thermal transmission module, consists the model. The model characterizes the thermal transmission in both vertical and horizontal direction by integrating the heat conduction of walls, wall convective heat exchange and convective heat exchange among sub-regions. Then, Multi-zone Heat Distribution Model were built by combining the established modules, wall flow module, thermal plume module and thermal transmission module, with Heat-mass Balanced Model. The new model makes the contribution to a detailed characterization of cold-and-hot-aisle-space heat distribution in a data center. Finally, the heat distribution model, combined with data in a case, was numerically simulated. Comparing the simulation results with data in the case, conclusion can be made that the Multi-zone Heat Distribution Model enjoys well consistency and robustness.

Key words:  Green data center, heat distribution, mechanic simulation, multi-zone model, , ,
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Cite this Reference:
1Zhao-wei Wang, 2Yuan-biao Zhang, 3Zi-yue Chen and 4Yuan-long Liu, . The Multi-zonal Balance Model of Temperature Distribution in Data Center. Research Journal of Applied Sciences, Engineering and Technology, (05): 1756-1761.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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