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Fuzzy logic based energy saving technique for a central air conditioning system

机译:基于模糊逻辑的中央空调系统节能技术

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In this paper a scheme has been proposed to maintain the temperature and the humidity, in each of the rooms served by a central Air Conditioner (AC) unit, close to the targeted values, and reduce the electrical energy intake of the AC compressor. The upper limits of the comfort zone, typically marked at a temperature of 25℃ and a relative humidity of 70%, are used as the targets. It should be noted that a conventional AC system controls humidity in its own way without giving the users any scope for changing the set point for the targeted humidity unlike the scope it offers to change the set point for the targeted temperature through a thermostat. But in this work this limitation has been taken into cognizance and overcome to a great extent using fuzzy logic to represent the intricate influences of temperature on the humidity of the space being cooled and correct the thermostat setting. In the developed scheme, the sensor captured temperature and humidity readings for each room are compared against the targets at the selected intervals of time, and the corresponding differences are fuzzified. These differences are used to decide the fuzzy qualifier, which is decoded into a crisp value that is the change required in the setting of the thermostat of the AC. As a result, each room will maintain a temperature near 25℃ and a relative humidity near 70% while the compressor will remain off for an appreciable period leading to a saving of energy. Though a thermostat with programmable setting for an AC unit dedicated to a single room has been reported in the literature, the same for a central AC unit that serves more than one room appears to have not yet been presented. The advantages of the scheme proposed for programming a thermostat under central air conditioning system are that it (ⅰ) requires for each room only a pair of input data i.e. the sensor captured temperature and humidity readings for each room, (ⅱ) controls humidity indirectly and (ⅲ) leads to a saving in energy consumption while maintaining a comfortable level of cooling in each of the rooms though their occupancy, size and the thermal conditions are different from one another.
机译:在本文中,已经提出了一种方案,以在由中央空调(AC)单元服务的每个房间中保持温度和湿度接近目标值,并减少AC压缩机的电能吸收。以舒适区的上限(通常标明温度为25℃和相对湿度为70%)为目标。应当注意的是,常规的交流系统以其自己的方式控制湿度,而不给用户任何改变目标湿度设定值的范围,这不同于它通过恒温器改变目标温度设定值的范围。但是在这项工作中,这种局限性已经被认识到,并在很大程度上使用模糊逻辑克服了这种局限,以表示温度对被冷却空间湿度的复杂影响,并校正了恒温器的设置。在开发的方案中,将在每个选定的时间间隔内将传感器捕获的每个房间的温度和湿度读数与目标进行比较,并对相应的差异进行模糊化处理。这些差异用于确定模糊限定符,该模糊限定符被解码为清晰的值,该清晰的值是AC恒温器设置所需的变化。结果,每个房间将保持25℃左右的温度和70%的相对湿度,而压缩机将在相当长的一段时间内保持关闭状态,从而节省了能源。尽管文献中已经报道了针对专用于单个房间的AC单元的可编程设置的恒温器,但似乎还没有针对服务于一个以上房间的中央AC单元提供相同的恒温器。提议对中央空调系统下的恒温器进行编程的方案的优点在于:(ⅰ)仅需要每个房间一对输入数据,即传感器捕获的每个房间的温度和湿度读数,(ⅱ)间接控制湿度,并(ⅲ)节省了能源,同时在每个房间中保持了舒适的制冷水平,尽管它们的占用,大小和热条件彼此不同。

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