Optimization Method Of Machine Room Thermal Environment Based On Cabinet Thermal Environment Index

With the advent of "Internet+" and the era of big data,data processing tasks are becoming more and more heavy.While the performance of servers is improving,the heat dissipation power is also rapidly increasing.The power of a single cabinet is rapidly increasing,and the data center is developing toward a large scale.The thermal environment of traditional small data center cabinets has deteriorated,with local overheating,uneven temperature distribution,and low cooling utilization.In view of the above problems,this paper takes the actual computer room as an example to establish a mathematical model.The room model was built using 6SigmaRoom.The purpose is to simulate the airflow field and temperature field in the equipment room to obtain local hot spots and temperature values.In order to verify the accuracy of the simulation model,the temperature data at 0.5m,1m and 1.5m of the cabinets of the experimental computer room and the simulation model were collected in this paper.Through the comparative analysis of the simulation data and the measured data,the accuracy and application feasibility of the simulation model of the computer room were verified.In addition,in order to have a more rational and effective assessment of the overall machine room of the cabinet thermal environment,this paper proposes a new cabinet thermal environment evaluation index based on the existing data center evaluation indexes,namely,Cabinet Thermal Environment Evaluation Index(CTEI).Through simulation experiments,the results show that the index can effectively evaluate the thermal environment of the cabinet under different working conditions,and analyze the cooling capacity utilization and thermal safety problems of each cabinet.Then,after combining the actual situation and summarizing the former research,this paper simulates a variety of working conditions from the three directions of channel closing mode,air conditioning temperature control mode,and return air mode.The comparative analysis of various operating condition is carried out from the asprects of temperature field,flow field,thermal environment evaluation index,extreme value of return air temperature,etc.From the above experimental analysis,it can be concluded that the combination of cold aisle sealing technology,air conditioning between columns,and the return air temperature control of the air conditioning system,can optimize the air flow organization to the greatest extent.The number of data center simulation iterations has been reduced from 590 to 400,which reduces the delay;the CTEI index range has been optimized from 1.16～2.47 to 1.36～1.82,and the overall temperature of the computer room is stable;the maximum temperature of the computer room has dropped by 0.9℃,which reduces the potential for thermal safety;average air supply temperature has increased from 14.17 ℃ to 16.37 ℃,and the energy consumption of the air conditioner has decreased;the temperature range has been optimized from 12.8～28.6℃ to 16～27.4℃,and the temperature difference has been reduced by 4.4 ℃.After the optimization,the supply air temperature can be appropriately increased for reducing the energy consumption of the air conditioner and finally realize the purpose of optimizing the thermal environment of the machine room.Last but not least,the work and shortcomings of this article are summarized.