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Study Of Energy Efficiency And Optimization On The Central Air-conditioning System

Posted on:2007-02-23Degree:MasterType:Thesis
Country:ChinaCandidate:M Q GongFull Text:PDF
GTID:2132360185458416Subject:Heating, Gas Supply, Ventilation and Air Conditioning Engineering
Abstract/Summary:PDF Full Text Request
The central air-conditioning system is large and complex. In order to save energy transiently during the running time, the global idea that consider all parts of central air-condition as one system and every part as sub-system is necessary. Adopt the transient analyze and optimized control method will enhance the energy efficiency totally. It is very adverse for running the system that emphasize just one parameter and neglect others.This thesis aim at actual state of lack of research findings on system energy conservation inland:First, there is detailed analysis about the principle and method on quantitative control in central air-conditioning. Base on the analysis, mathematical model is determined by considering the energy saving operation as object and frequency conversion as method. Object function is provided for energy consumes parts (water chilling unit, pump and fan). Scheme and optimized operation mode are also represented;Second, make use of the global searching ability of genetic algorithms and optimized program base on modified genetic algorithms, we get the law that all parameters change with the disturbance in and out and load factor. All operation parameters' influence to the EERs is also considered;Third, according to refrigeration load and outdoors weather parameters, optimized analysis is done for water temperature variation control also called quality control;At last, the transient simulation is done with Matlab software and used for optimized analysis on central air-condition of the general merchandise. The result of optimized, simulation and actual operation are compared. The results of different control method are also compared. The conclusion is useful for reconstruct, extension and new build project.
Keywords/Search Tags:Central air-conditioning system, Genetic algorithm, Energy efficiency, Emulation, Optimal control
PDF Full Text Request
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