Study On Modeling And Steady-State Optimization Of Isolated Heat Pipe Heat Exchange System

The application of natural cooling with natural air conditioning units or air-conditioning cooling with refrigeration unit is generally beginning up in the field of telecommunications room. Many air conditioning companies are beginning to research and development air-conditioning equipment energy efficiency and integration communications in room testing. However, the research on energy-saving equipment in this application is very little,even the information on this type of energy-saving equipment is little either. The existing problem for communications room is very severe. The way of completely updating the original old-fashioned air-conditioning equipment for the company is also unrealistic.In order to reduce air-conditioning energy consumption of original computer room,an isolated heat exchange system is added to Beijing Unicom computer room. The steady-state model of the heat exchange system is built using mechanism modeling method according to actual operating data and the basic principles of heat transfer process. The system is calculated and analyzed quantitatively from the general structure,technology and algorithms. On-line optimization is also studied involved the key technologies and optimization theory. The main research works are as follows:1. Based on summing on-line development process,technology status and the latest trends of the previous steady-state optimization. The key technical problems of the on-line steady-state optimization are analyzed.2. The several important parameters of heat pipe heat exchange system were measured,and the fitting measured data was calculated.3. With the help of heat transfer and static characteristics, the steady-state model of the heat exchanger was established by mechanism method. The average temperature difference was calculated by the deduction. The average temperature difference formula was obtained.4. The key issues-process steady state detection and data processing were studied deeply. Improved filtering method have been proposed,this method suited for systems including multi-variable and gross error. Its effectiveness was verified. The integrated approach not only complete the parameter estimates,but also complete data reconciliation. 5. Adaptive steady-state optimization method extracts steady-state information from dynamic model based on ISOPE. This method was verified by actual process data. System software platform is built based on LabVIEW, through the actual process data, the overall operation of the system is simulated and the accuracy of model is verified.