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Identification And Evaluation Of Operational Strategy Of Central Heating System Based On Actual Data

Posted on:2019-09-07Degree:MasterType:Thesis
Country:ChinaCandidate:X JiFull Text:PDF
GTID:2382330593950986Subject:Environmental engineering
Abstract/Summary:PDF Full Text Request
The identification of the current operation strategy of a heating system is the basic prerequisite of operation optimization.The application of heat metering system in the management of building services makes a large number of heating operation data to be recorded and in which the information of system operation regulation is often hidden.Therefore,it undoubtedly is the most convenient and useful program to obtain the operation strategy of heating system through the analysis of these data.However,it's difficult for the traditional data analysis method to handle these massive and multidimensional time series data.The data mining technology which combine the traditional data analysis methods with the complex algorithm of processing massive data provides a good tool for extract useful information from the messy data.Combine different data mining methods,such as autocorrelation function chart test,fourier transformation,cluster analyzing,decision tree analyzing,correlation analyzing and Grubbs effectively to set up three data analysis models.The three models are used to identify the heat transfer station heating mode,water temperature regulation strategy,circulation flow regulation strategy.By identifying the existing heating mode of the central heating system,it is found that the heating modes of the heat exchange stations with the same heat source are basically the same,and the operation regulation strategies of the water supply temperature and the flow rate are different.By analyzing the operation regulation strategy of the secondary side water supply temperature,sixteen different operation regulation strategies can be obtained.By analyzing the operation regulation strategy of secondary circulating water flow,three different operation regulation strategies can be obtained.Using the building heat consumption and power-heat ratio as a heat transfer station to assess the effect of heating control feedback parameters and to analyze the operation of existing heat transfer station adjustment strategy and its comparison and evaluation.Founding that in the regulation of the secondary side of the water supply temperature,based on the follow-up regulation,adjust temperature with time and join the manual adjustment is the optimal operation strategy.In the regulation of the secondary side of the water flow,staged flow rate operation is the optimal regulation strategy.The above results of the fine on-demand heating has a better practical significance and application value.
Keywords/Search Tags:District heating, Operating regulation, Pattern recognition, Data mining, Evaluation and optimization
PDF Full Text Request
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