A Study of Energy-Saving and Thermal Comfort Control on Air-conditioning System Using a Direct Load Control Method (III)

[[abstract]]本計劃以彰化地區夏季空氣狀況，對傳統空調系統用電最大之冰水主機 規劃自我學習之電力卸載流程，提昇空調用電之效率與減低夏季尖峰用電。 同時以舒適度曲線評估舒適度，引入灰色預測與模糊控制的理論方法，對室 內送風機作控制，研究室內舒適度之趨勢與省能效果；並且分析不同干擾對 灰預測模糊控制器在可變風量空調控制的運轉結果之影響。實驗結果證時本 文提出之方法可以達到節約能源與維持舒適度的目的。[[abstract]]The first thing for saving energy in air-conditioning (AC) system is to analyze the thermal load in the thermal space. The temperature change of the thermal space being heated or cooled reflects the alteration of the Enthalpy of the air. The proposed method estimates the enthalpy variation of air in the thermal space. The fan coil is controlled by using Gray Prediction with Fuzzy Control method for energy saving and human comfort. Experiments confirm the proposed method that save energy and maintain a comfortable space. Energy saving is outstanding due to most energy is used to remove sensible heat to maintain a comfortable space. Among the superior central air-conditioning systems, the part to consume the most power is the cooled water producing system. The direct load control of HVAC system will plan the self-regulating on/off control loop to improve the power efficiency during each summer