| Summary: | 碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 101 === In recent years energy shortages lead to rising of electricity prices. Taiwan is located in located in subtropical regions during summer people more dependent on air-conditioning equipment cause increasing of electricity. However the core unit of air-conditioning equipment is chiller. To reduce the power consumption of air-conditioning in this study. We apply an inverter on compressor and condenser cooling fan adjust both inverter to reduce operation frequency. The experimental results showed that the decrease of the frequency would reduce the total power consumption, its cooling capacity would be reduced too it might cause the change of the coefficient of performance. This study proposed an application of adaptive neuro-fuzzy system to establish performance model at constant frequency and explore the improvement of C.O.P using this model. This method solved the difficulty of fuzzy systems in order to define the experience of expert fuzzy rule base.
This study consider outside air wet bulb temperature chiller water supply temperature and cooling capacity of chiller during fixed-frequency. We used adaptive neuro-fuzzy system to establish performance model at constant frequency, we put the independent variables of frequency conversion into the model and would get the coefficient of performance before frequency conversion. According to the coefficient of performance before and after frequency conversion we can analyse the improvement of performance. This research focus on frequency 40Hz,45Hz,50Hz,55Hz,and compare the improvement of performance respectively results shown that when the frequency was 40Hz,the improvement was better than other frequency, it would about 48.42%.
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