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| 1 | Energy performance analysis on telecommunication base station 显示文摘 | Tu Rang Liu Xiao -hua Li zhen | 2011 | Energy and Buildings2011，43，23： | 1 |
| 2 | Energy performance analysis on telecommunication base station 显示文摘 | Rang Tu Xiao-Hua Liu Zhen Li | 2011 | Energy and Buildings2011，43，23： | 1 |
| 3 | Labo- ratory investigation of impulse characteristics of transmis- sion tower grounding devices显示文摘 | Jinliang He Rang Zeng Member Youping Tu | 2003 | IEEE Transactions On Power Delivery2003，18，3： | 1 |
| 4 | Preparation, structure, drug release and bioinspired mineralization of chitosan-based nanocomplexes for bone tissue engineering 显示文摘 | Zeng Rang Tu Mei Liu hongwei | 2009 | Carbohydr Polym2009，78，1： | 1 |
| 5 | Energy performance analysis on telecommunication base station 显示文摘 | TU Rang LIU Xiao-hua LI Zhen | 2011 | Energy and Buildings2011，43，： | 1 |
| 6 | Characteristic studies of heat sources and performance analysis of free-cooling assisted air conditioning and ventilation systems for working faces of mineral mines显示文摘High temperature heat hazard at mineral mine becomes more and more serious as the increase of mining depth.Heat sources at working faces of mineral mines are complex and are of different characteristics,presenting new challenges for air conditioning systems.In this paper,heat sources at four types of working faces are summarized and their characteristics are investigated.Based on this,simplified equations,which are linear with length of working faces,are proposed to calculate heat dissipation rates.So that the main heat sources of different working faces can be found,and cooling load of air conditioning systems can be calculated.Then,considering main heat sources of coal mines,a typical working face is designed to investigate performances of different ventilation systems and air conditioning systems.Simulation results show that segmented ventilation systems(SC)and heat shield assisted centralized ventilation systems(CCHS)can realize much better temperature distributions at working faces.However,cooling load can be greatly reduced for CCHS,when untreated air is supplied to the coal seam side.Based on this,free cooling assisted air conditioning systems are designed,and annual average energy efficiency ratio(EERann)of the systems are investigated and compared between direct evaporate cooling and indirect evaporate cooling(IEC).For SC,as compared with scenarios without free-cooling,IEC can increase EERann by 15%-23%and 22%-32%under Benxi and Datong ambient conditions,respectively.Besides,to ensure high EERann,CCHS is preferred and it is essential to increase thermal insulation of air ducts. | Rang Tu Lijuan Huang Aibing Jin Mingfeng Zhang Xiao Hai | 2021 | Building Simulation2021，14，6： | 0 |
| 7 | Hot spot temperature prediction and operating parameter estimation of racks in data center using machine learning algorithms based on simulation data显示文摘In this paper,models to predict hot spot temperature and to estimate cooling air’s working parameters of racks in data centers were established using machine learning algorithms based on simulation data.First,simulation models of typical racks were established in computational fluid dynamics(CFD).The model was validated with field test results and results in literature,error of which was less than 3%.Then,the CFD model was used to simulate thermal environments of a typical rack considering different factors,such as servers’power,which is from 3.3 kW to 20.1 kW,cooling air’s inlet velocity,which is from 1.0 m/s to 3.0 m/s,and cooling air’s inlet temperature,which is from 16℃ to 26℃ The highest temperature in the rack,also called hot spot temperature,was selected for each case.Next,a prediction model of hot spot temperature was built using machine learning algorithms,with servers’power,cooling air’s inlet velocity and cooling air’s inlet temperature as inputs,and the hot spot temperatures as outputs.Finally,based on the prediction model,an operating parameters estimation model was established to recommend cooling air’s inlet temperatures and velocities,which can not only keep the hot spot temperature at the safety value,but are also energy saving. | Xianzhong Chen Rang Tu Ming Li Xu Yang Kun Jia | 2023 | Building Simulation2023，16，11： | 0 |
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