Demand Response with Considering Indoor Comfort and Forecasting Possible Load-Shedding

• Main Authors: Cheng-Yu Wu, 吳正有
• Other Authors: Yung-Chung Chang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/c6gt33

碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 101 === Air-conditioning has become a part of people’s daily life as well as work in high technology era nowadays. To improve life quality and working efficiency, we must rely on the convenient of air-conditioning. Since air-conditioning system is used frequently during summer, the electricity consumption increase substantially. To reach minimum suppression of peak electricity consumption, Taiwan Power Company hope consumers can be cooperated to minimize suppression of electricity consumption. They usually reduce the load of HVAC system by direct load control, although it can reach the contract capacity, but it may cause uncomfortable in indoor area. This study carried out load-shedding control through demand control strategy of BEMS by using 4 cases to verify the accuracy of applying grey theory to forecast the load of HVAC system. The result shown that the mean error between actual value and forecast value is 2.41%. This study performed 4 load-shedding experiment, to maintain the indoor thermal comfort to an comfortable range that PMV was between 0~0.5 and PPD was between 5~10 in summer peak demand period. This study also applied grey theory to predict the load of HVAC system of a building and compared with the actual load during experiment. This study consider the premise of not to affect indoor thermal comfort to forecast the possible load-shedding of HVAC system during summer peak. Thereby determining to adjust other electrical equipment to reach the “minimum suppression contract capacity” that signed with the power company.