應用進化策略演算法於冰水系統運轉參數設定最佳化

Optimal Operation Parameter setting of Chilled Water System Using Evolution Strategy

張澤文(Tse-Wen Chang)

指導教授 ： 張永宗

國立臺北科技大學/機電學院/能源與冷凍空調工程系碩士班/碩士(2009年)

摘要

中央空調系統中，一般冰水主機系統在運轉時，系統控制大都以固定冰水出水溫度的方式來搭配空調箱操作，但室內空間負載是會隨著時間變動的動態參數，若採取固定出水溫度將會導致在低負載時主機能耗的浪費。冰水主機和空調箱在控制上是獨立分開運轉，以往無法達到最佳出冰水溫控制主要是因為冰水主機和空調箱間彼此有著相互影響的關係，當冰水溫度設定向上調整時，冰水主機耗電減少，但空調箱耗電量增加，且空調箱內的送風量與盤管內冰水流量的大小也對室內熱交換量有著顯著的影響，故當冰水主機與空調箱合併控制時，系統需考量的問題較為複雜。
本研究方法是以空調箱熱平衡方程式做為調整冰水出水溫、送風量和冰水流量大小的依據，透過線性迴歸出的冰水主機耗電量、送風機耗電量和冰水泵浦耗電量加總值做為目標函數，再使用進化策略演算法求出此三項參數的最佳解，進而調整空調系統各項元件的參數設定值，以貼近實際需求避免多餘的能源消耗。

關鍵字

進化策略演算法 ； 冰水主機 ； 系統最佳化運轉

並列摘要

In a central air conditioning system, when the general chiller system is running, the system control is mostly operated together with the air handling unit by the way of constant chilled water supply temperature. However, the indoor spatial load is a dynamic parameter that changes with time. If a constant water supply temperature is adopted, the power waste of the chiller would be caused in times of low loading. In fact, chiller and air handling unit run independently and separately in terms of their control. In the past, the optimal control of chilled water supply temperature could not be achieved mainly because of the mutual effects between chiller and air handling unit. When the chilled water temperature is set and adjusted higher, the power consumption of chiller will be decreased. However, the power consumption of air handling unit is increased. And the supply air flow inside the air handling unit and the chilled water flow inside the coil pipe have significant effect on the heat exchange indoors. Therefore, when combined control of chiller and air handling unit is undergone, the problems needed to be considered by the system are more complicated.
The study employs the research approach that the air handling unit heat balance model is used as a basis for the adjustment of the chilled water supply temperature, supply air flow and chilled water flow. The power consumption of chiller, power consumption of fan and power consumption of chilled water pump achieved by linear regression are added up as an objective function. Then evolution strategy algorithm is used to acquire the optimal solutions of these three parameters. Furthermore, the parameter setting for different components of air conditioning system is adjusted so as to obtain the power consumption closest to the actual need and avoid unnecessary waste.

並列關鍵字

Evolution Strategy ； Chiller ； System Optimal Operation

參考文獻

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