A Research on optimized energy budget computation scheme of air-conditioning system

• Main Authors: FENG,CHUAN-TENG, 馮傳滕
• Other Authors: Chuah Yew Khoy
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/7f3ahm

碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系 === 106 === Online daily weather forecast of the Central Weather Bureau is used in a prediction model to generate hourly ambient temperature. On site water chiller load data from BEMS system and the hourly ambient temperature are used to obtain a regression equation of demand cooling load. The demand load so obtained then forms the basis in the calculation of energy budget of the air-conditioning system. Optimized energy budget is achieved by allocation of fan power, pump power and chiller load to meet the cooling demand. Finally, the energy saving and reduced electric cost are discussed. The computation scheme involves a multivariate control parametric model which performs calculations so that the cooling demand can be matched by the operation of air-conditioning system at varying cooling load in a day. A commercial building case is used in the analysis. It has been found that applying the control scheme in this thesis the total power consumption of the chiller pumps, supply air fans and chillers can be reduced significantly. The research results show by optimal allocation of cooling energy budget the total power consumption can be decreased by 6%, and the system performance measured by SPF can be increased by 4.7%. This study has shown that energy budget scheme can be used in a holistic approach to optimize the air-conditioning system operation, on hourly basis. Another aspect of energy budget is the electricity cost. The results show that for the case studied annual electricity cost can be reduced by 8%. Finally it is concluded that the energy budget optimized computation scheme is a feasible method to reduce the energy use and also the electricity cost of air conditioning systems.