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Research And Evaluation Of Thermal Environment And Energy Saving Characteristics Of Data Center Room

Posted on:2021-02-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y WeiFull Text:PDF
GTID:2392330632952160Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
Nowadays,human beings have stepped into the information age,and people’s production and life styles have also changed,leading to the explosive growth of global data,which also promotes the rapid development of data centers.With the rapid development of big data and IT technology,as an important data carrier,the scale of data center is also expanding rapidly.There are a large number of IT server equipment,UPS equipment,PDU equipment,air conditioning units and other high-power electrical equipment in the data center,which will generate a lot of heat during the operation.Therefore,ensuring a good thermal environment for the computer room is a crucial factor for the normal operation of the data center.Moreover,the data center must operate normally all year round,the refrigeration system needs to be turned on all year round,and the data center consumes a lot of electricity all year round.Some studies have shown that the energy consumption of global data center accounts for 2% of the total energy consumption of the world,among which the air conditioning system accounts for about 40% of the energy consumption of data center.Therefore,reducing the energy consumption of air conditioning system can significantly reduce the annual energy consumption of data center.Based on the above problems,a typical data center model is established to analyze the optimization and upgrading scheme of thermal environment and energy saving system.Specific analysis contents and plans are as follows:(1)the numerical simulation analysis was carried out on the data of original model,summarized the results of the analysis to the data center from the original problems of thermal environment,including local hot spots and mixing with the cold air distribution channels such as uneven air supply,and the numerical simulation results and actual measurement result to contrast,verify the numerical model’s availability.(2)in combination with the thermal environment problems existing in the original model,two groups of thermal environment optimization measures were proposed.The first group closed the cold channel or hot channel,and the second group selected precision air conditioning,inter-column air conditioning and cooling channel ceiling air conditioning respectively.The two groups of improvement measures were combined to obtain 6 working conditions.Then,the temperature field,velocity field and streamline form of 6 working conditions are compared and analyzed by numerical simulation.(3)the refrigeration system in the original model adopts the form of year-round precision air conditioning refrigeration.This type of cooling USES a lot of energy and wastes a lot of cold during the winter and transition seasons.Therefore,this paper selects a compound evaporative cooling unit which can make full use of natural cooling source to refrigerate the data center.After determining the operation mode of the unit,the optimal operation parameters of each mode are explored by using the method of simulation calculation.Finally,based on these parameters,the annual energy consumption of the air-conditioning system in the data center is calculated.(4)after the simulation analysis of the thermal environment of the machine room and the energy-saving characteristics of the air conditioning system,in order to comprehensively and accurately reflect the advantages and disadvantages of each scheme,it is necessary to introduce some indicators for comprehensive evaluation.In this paper,SHI,RHI,RCI,IOM and other evaluation indexes are introduced to evaluate the thermal environment of the data room,and then the applicability of the evaporative cooling unit in different regions of the country is analyzed through PUE and power saving rate indexes.
Keywords/Search Tags:Data centers, Thermal environment, Evaporative cooling, The evaluation index
PDF Full Text Request
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