Czasopismo | CIEPŁOWNICTWO, OGRZEWNICTWO, WENTYLACJA | Rocznik 2016 - zeszyt 3

Decision Making Model of Data Center Chilled Water Cooling System

10.15199/9.2016.3.4

nr katalogowy: 97444
10.15199/9.2016.3.4

The paper presents a decision model of data center chilled water cooling system for low and medium heat densities. Decision model is based on optimization procedure, which covers definition of technological and mathematical model of the system, its inequality constraints and optimization criterion. The criterion in this case is minimum annual power consumption and operating cost. System model is described by constant parameters and decision variables and consists of aircooled chiller, external water-side economizer (drycooler), computer room air-handler (CRAH) and constant flow hydraulic system with circulating pump. Influence of the rack architecture (open and closed - with separation between cold and hot aisle), coolant temperatures and temperature difference (mass flow) on system total power consumption and operating cost has been presented. The paper also shows calculation results for a case study with wide range of decision variables. Results cover annual power consumption of the cooling system, partial power usage efficiency ratio (pPUE) and operating cost of the allowable system variants and the optimum system. © 2006-2015 Wydawnictwo SIGMA-NOT Sp. z o.o. All right reserved.1. Introduction Data Centers are buildings dedicated to store and provide suitable space and infrastructure for operation of the business- critical IT servers. They're operated continuously, thus their energy consumption is significant. According to data provided by U.S Environmental Protection Agency, data center related sector in 2006 was responsible for 1,5% of total energy consumption in USA, with the energy cost of ca. 4,5 bilion USD [21]. Same report was expecting this demand to double within next 5 years, until 2011. Rapid development of internet, especially due to introduction of mobile devices (smartphones, tablets), social networks and cloud computing has resulted with exponential growth of data traffic, which influences the [...]

Bibliografia

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