scholarly journals Actual measurement, hygrothermal response experiment and growth prediction analysis of microbial contamination of central air conditioning system in Dalian, China

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yang Lv ◽  
Guangyao Hu ◽  
Chunyang Wang ◽  
Wenjie Yuan ◽  
Shanshan Wei ◽  
...  
Keyword(s):  
Air Conditioning ◽  
Microbial Contamination ◽  
Air Conditioning System ◽  
Actual Measurement ◽  
Growth Prediction ◽  
Prediction Analysis ◽  
Central Air Conditioning

Detection and Analysis of Microbial Contamination in Central Air Conditioning System of a University

2012 ◽  
Vol 610-613 ◽  
pp. 661-664
Author(s):  
Hui Xing Li ◽  
Bei Ni Li ◽  
Geng Geng ◽  
Wei Xiao ◽  
Wei Wang
Keyword(s):  
Air Conditioning ◽  
Microbial Contamination ◽  
Ventilation System ◽  
Inner Product ◽  
Public Places ◽  
Air Conditioning System ◽  
Surface Dust ◽  
Photo Catalysis ◽  
Air Ventilation ◽  
Central Air Conditioning

Objective: Test the wind pipe dust and microorganism pollution status in the central air conditioning system of public buildings in the teaching area.Analysis of microbial pollution of the related factors.Methods:Sampling 6 functionally different area in the teaching building,using the microbiology analysis method on air conditioning system of blower tube surface dust pollution of microorganism detection,and the use of TiO2 photo catalyst purification mechanism on microbial contamination control.Results:on the basis of"centralized air ventilation system in public places sanitary specification",teaching areas of central air conditioning system of dust amount met the requirement basically.Bacterial concentrations generally beyond the standard,fungal concentration accords with the standard.The Method using TiO2 photo catalysis sterilization was proposed. Conclusion:Teaching of regional air conditioning pipe inner product dust weight is relatively large.Microbial pollution is serious.It is necessary that cleaning air conditioning system timely and using TiO2 Photocatalyst purification mechanism for killing air duct surface dust microorganism.

Application Study of Load Forecasting of Central Air-Conditioning System Based on Time Sequence Analysis Method

2012 ◽  
Vol 220-223 ◽  
pp. 622-625
Author(s):  
Xue Li Zhu ◽  
Bo Dong ◽  
Yong Jun Zhu
Keyword(s):  
Sequence Analysis ◽  
Air Conditioning ◽  
Time Lag ◽  
Load Forecasting ◽  
Time Sequence ◽  
Analysis Method ◽  
Air Conditioning System ◽  
Central Air Conditioning ◽  
Heating Load ◽  
Time Sequence Analysis

With the characteristics of non-stationarity, non-linearity, time-lag of refrigeration/ heating supplying in minds, load forecasting of central air-conditioning system is carried using time sequence analysis method. Firstly, acquisition sample data of central air-conditioning system is pretreated, and random time sequence AR model of system is formulated. Then, forecasting of AR refrigeration/heating load based on Yule-walker method is conducted. In order to enhance forecasting accuracy, crossover forecasting is introduced into the load forecasting, that is, to use vertical forecasting to follow household demands for load and horizontal forecasting to track changes of weather. Then, weight cross is made to vertical and horizontal forecasting results. Finally, refrigeration/heating load forecasting software of central air-conditioning system is developed, which is used in energy-saving monitoring and control of central air-conditioning system.

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