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Optimizatiaon Of Air Conditioned Indoor Air Parameter Based On Artifical Neural Network

Posted on:2007-04-19Degree:MasterType:Thesis
Country:ChinaCandidate:S L PengFull Text:PDF
GTID:2132360185466015Subject:Heating, Gas Supply, Ventilation and Air Conditioning Engineering
Abstract/Summary:PDF Full Text Request
Current heat environment research indicates that human body's heat comfort feeling of environment is based on the parameters of heat environment, such as air temperature, humidity, air velocity, average radioactive temperature. These effects can be measured by the PMV measurement which is found by Pro Fanger or SET measurement which is found by Pro Gagge. At the same time, we know that just one value of indoor air PMV can be used to measure hundreds of indoor air parameters' combination, and all of these situation can be also happened in different air-condition systems. In all of these air parameters' combination, we can find a set of parameter which can meet the PMV value for human body comfort feeling and air-condition system consumption is least, called optimum indoor air parameter combination.As we all knew that technology of nerve net simulation with many characters such as strong self adaptive, self-taught, nonlinear mapping, high robustness and compatibility, parallel arrangement transacting, enormous variable, so author applys this tech to find the optimum indoor air parameter automatically in this thesis.Firstly PMV measurement is discussed in this thesis, author built a nerve net simulation model which can be used to predict the value of indoor air's PMV by Matlab program. Measurement result of this model indicates that this model is in good function and can be applied in all kinds of air-condition control system. Based on this model, author founded a new integrated PMV transmission structure.Secondly, author pays more attention to research of optimum indoor air parameter self searching by nerve net simulation, and author used simplified model's data to replace the operating data obtained from measurement in real situation to train the nerve net model. From the result of training, we can be sure that nerve net model is in good function and can be used to predict the optimum indoor air parameter combination.Investigation of thesis means a great innovation to the traditional air-condition control which is based on the adaptation of indoor air temperature and humidity, improved the air-condition system comfort and conserve the air-condition system power consumption mostly. And research of this thesis can be the theory foundation for further research of refrigeration equipment control.
Keywords/Search Tags:artificial neural network, PMV, conservation and comfort, indoor air parameter optimization
PDF Full Text Request
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