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Developing and Validating Thermodynamic Models for Evaporative Cooling in Data Centers
Keywords: data center, evaporative cooling, thermodynamic model
Data centers are facilities that house electronic equipment which are used for various processes such as information management, data storage and networking. These data centers are very power hungry and most of this power is used in cooling of data center. As this equipment operates continuously, there is an enormous amount of heat liberated from it. In order to operate properly this liberated heat must be removed from the data center by cooling it. Since most of the energy is used in cooling of data centers, it becomes an important aspect for energy consumption reduction. Most studies have focused their attention on design optimization and analysis of data centers. Methods to reduce energy consumption from other ways must also be explored. Considerable amount of total power is used to drive the cooling activity. Various different types of cooling methods have been implemented and are currently operating in various data centers. Evaporative (Indirect/Direct) Cooling is trending these days because of its ability to provide cooling at minimal cost. Previous papers have presented various cooling plants in data centers and studied them. This paper intends to develop thermodynamic models for this method in accordance with datacenters and validate them. The methodology to be used comprises of theoretical as well as experimental. The data needs to be computed assuming a particular cooling model operating at a particular location and subsequently computing the cooling capacity and product air characteristics. Also the environmental data for temperatures at a particular location is gathered. Based on this data and results that would be obtained by performing mathematical calculations we would be in a position to analyze this model. This would provide us with a baseline cooling model which can be further improved to validate current Evaporative Coolers. The result obtained by employing the above setup should give us a considerable understanding of these models and thermodynamic characteristics of the air throughout its journey in a datacenter.
Niravkumar Dodia,
University Of Texas at Arlington
Arlington, Texas
USA


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