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Journal Overview

REFRIGERATION AND AIR-CONDITIONING

Launched in 1990, Monthly

Indexed by:

China Academic Journal Comprehensive Evaluation Database

China Journal Full-text

Database:

Chinese Core Journal (Select) Database

Chinese Science and Technology Journal Database

Annual Report for Chinese Academic Journals Impact Factors

Telephone: 010-8356006583510099

Domestic Unified Serial Number (CN):11-4519/TB

International Standard Serial Number (ISSN):1009-8402

Issue 03,2025

Discussion on the development history of data center cooling technology

Guo Yinjie;Zhao Chunyu;

With the rapid development of the digital economy and the promotion of the national dual-carbon policy,data centers as the core facilities for information storage,processing and transmission,the continuous improvement of scale and performance has led to the problem of high energy consumption of data centers has become more prominent and needs to be solved.As a key factor to ensure the stable operation of data centers,cooling technology has undergone a transformation from simple to complex and from inefficient to efficient.Based on the development history of data center,this paper summarizes the cooling technology of data center,and points out the factors restricting the development of liquid cooling technology of data center and the development trend of cooling technology in the future,so as to provide reference for the construction and development of efficient and energy-saving green data center.

Issue 03 ,2025 v.25 ;
[Downloads: 425 ] [Citations: 0 ] [Reads: 0 ] HTML PDF Cite this article

Research on control strategy of solution dehumidifying air handling unit

Zhang Jiaxing;Chen Yue;Hao Jinwei;Gan Nianzhong;

Solution dehumidification has obvious advantages in utilizing renewable energy and low-grade heat energy,and has broad application prospects.In this paper,a control scheme is provided to optimize the control effect of solution dehumidification air handling unit.The mathematical model of dehumidifier and surface cooler in temperature and humidity independent processing unit is established,and the mathematical model is simulated by MATLAB/Simulink module,with air flow,dehumidification solution temperature(cold water temperature)and dehumidification solution flow(cold water flow)as adjustment means respectively.The influence of dehumidifier on the moisture content(temperature)of dehumidifier(surface cooler)air supply is explored.The simulation results show that the temperature of dehumidification solution and the cold water temperature of surface cooler have the most significant influence on the moisture content of dehumidifier outlet air and the temperature of surface cooler outlet air respectively.At the same time,the simulation model is verified by bench test,and the results show that the difference between the humidity content and the temperature is 15.98% and 2.77%,which shows that the simulation platform built in this paper has certain practical significance and can provide theoretical guidance for related experiments.

Issue 03 ,2025 v.25 ;
[Downloads: 36 ] [Citations: 0 ] [Reads: 0 ] HTML PDF Cite this article

Energy-saving control of air-conditioning system based on flower pollination algorithm

Feng Ze;Hu Yuanyang;Yang Xingzhou;Li Shuhong;Liu Shouchao;Chen Cheng;

The air-conditioning system power consumption constitutes a significant portion of building energy consumption,offering substantial potential for energysaving.Existing research on the optimal control of air-conditioning systems primarily focuses on local equipment control,neglecting the distribution of cooling load.Based on the measured data of the air-conditioning system in one subway station,the power consumption models of main components in the system are fitted,and a overall power consumption model is derived based on the energy conservation and mass conservation.After verifying the model prediction accuracy,the influence of various regulation strategies on system energy-savings is analyzed using the flower pollination algorithm.The results demonstrate that the established power consumption model has high prediction accuracy.The R~2 values for power consumption predictions of each device are all above 0.95,with MAPE values below 10%.The system's total power consumption prediction over one week has a relative error of 6.81%.Additionally,incorporating cooling load into parameter control model,compared with the original control strategy and the control strategy without cooling load regulation,the energy-saving rates can reach 8.11% and 4.08%respectively.

Issue 03 ,2025 v.25 ;
[Downloads: 119 ] [Citations: 0 ] [Reads: 0 ] HTML PDF Cite this article

Influence of nozzle baffle spacing on air flow measurement

Zhang Huan;Li Wei;Sun Yun;Wang Yuxuan;Zhou Huiping;Ke Yao;Lu Linlin;

The numerical model of three-nozzle (189 mm,150 mm and 189mm)chamber is established based on the wind chamber type multi-nozzle air volume measurement device.In addition,the accuracy of the model is verified through experiments.In order to study the impact of nozzle baffle spacing on air volume measurement,six groups of contrastive tests are designed to analyze static pressure,velocity,flow field uniformity in nozzle chamber and simulated air volume under different nozzle baffle spacings.The results show that,with the increase of nozzle baffle spacing,the uniformity of the flow field in the nozzle chamber improves,and the vortices in the nozzle chamber and simulated air volume decrease.When the dimensionless nozzle baffle spacing is 1,compared with that without baffle,the deviation of their simulated air volumes is0.76%.Finally,the fitting formula of nozzle baffle spacing in the simulation interval about the simulated air volume is given to provide reference for the engineering design of nozzle baffle spacing.

Issue 03 ,2025 v.25 ;
[Downloads: 62 ] [Citations: 0 ] [Reads: 1 ] HTML PDF Cite this article

Applicability and influencing factors of evaporative precooling system for data centers under hot and humid climate

Yang Zhichao;Fan Chengliang;Liao Yundan;

Regarding the applicability of evaporative cooling system as pre-cooling system for data centers in hot and humid region,the impact of system parameters such as the air intake volume of evaporative condensers,return air temperature,and refrigerant mass flow rate on the cooling capacity of pre-cooling system,are analyzed.The results indicate that increasing the air intake volume of evaporative condenser can enhance the cooling capacity of pre-cooling system,but the growth rate is influenced by the wet-bulb temperature of the inlet air.Increasing the return air temperature can improve the cooling effect,and this improvement is not affected by outdoor meteorological parameters.Although increasing the refrigerant mass flow rate initially enhances the cooling capacity of the precooling system,the growth rate of cooling capacity declines rapidly once the rotational speed exceeds 50%.Therefore,implementing the evaporative cooling system as precooling system,it is crucial to emphasize the optimization design of key parameters and appropriate parameter combinations to maximize the utilization of natural cooling sources and reduce energy consumption.

Issue 03 ,2025 v.25 ;
[Downloads: 229 ] [Citations: 0 ] [Reads: 0 ] HTML PDF Cite this article
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