| Summary: | 碩士 === 國立交通大學 === 機械工程系所 === 105 === This study experimentally investigates and the indoor air quality, energy consumption, and thermal comfort of the classroom environment. The control is based on the Prius smart system from Chunghwa Telecom via Wifi connection. The classroom for testing is at room 132 of Engineering Bldg. 5 at NCTU. The designated class room condition for indoor air quality for carbon dioxide to be lower than 800 ppm is regarded as comfort, 800-1000ppm is acceptable, and a concentration above 1000 ppm is regarded unacceptable. For thermal comfort, PMV from -0.5 to 0.5 is considered as comfort. Based on the comfort PMV, an algorithm is developed to meet the demand of minimum energy consumption while maintains the thermal comfort. In addition, the corresponding indoor air quality (carbon dioxide) is investigated during balancing the thermal comfort and energy consumption. Experimental parameters can be divided into uncontrollable parameters and controllable parameters. The uncontrollable parameters include the students attending the class (24-88 people), students distribution in the classroom, conditions of classroom (normal lecture class or examination), outdoor temperature (22-34℃), weather (sunny, rainy, or windy). Tests were performed conditions subject to class room temperature (ranging from 24 to 27℃), automatic control, manual control, operation with opening in doors or windows. The results show that students generally adopts 25℃ temperature as the set point of air-conditioner while leave the door opening and closing window. It is also found that the concentration of carbon dioxide rises more quickly during examination than normal lecture course. The concentration of carbon dioxide will exceed the standard 1000 ppm when more than 35 people attends the class. Opening the window and the wind can effectively improve the carbon dioxide concentration. However, the concentration is still above the unacceptable threshold. For energy consumption, through the using particle swarm optimization algorithm, the derived automatic control can meet the demand of thermal comfort which reduce energy consumption as much as 17.7-28.0% than the original air-conditioner self-regulating at 25℃. In general, the fixed temperature of 26℃ is better than the fixed temperature of 25℃. In fact, it can reduce 6-18.7% of energy consumption
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