2007-11-012024-05-15https://scholars.lib.ntu.edu.tw/handle/123456789/663440摘要：本計畫提出兩種冰水主機與冷卻水塔最佳化的運轉策略，一種是應用於單台冰水主機與單台冷卻水塔之空調系統，另一種則應用在多台冰水主機和多台冷卻水塔群組之空調系統。透過此運轉策略的分析，空調系統將具有最低之耗電量。本研究首先建立冰水主機耗電計算模式，藉由此計算模式將可預測在空調負載、冷卻水入水溫度和冰水出水溫度等條件逐時變化時冰水主機的耗電量。並發展冷卻水塔耗電計算模式，在外氣條件、冷卻水塔風量和冷卻水出入水溫變動的情況下，將可利用此計算模式來預測冷卻水塔之耗電量。透過上述兩種耗電計算模式的整合，將可發展一套單台冰水主機和單台冷卻水塔最佳化運轉策略，在外氣條件和空調負載等不可控制變數的逐時變動下，將可藉由此運轉策略求得冰水主機和冷卻水塔最佳化運轉時的操作條件。以上述之最佳化運轉策略為基礎，本研究將結合懲罰函數法發展多台冰水主機和多台冷卻水塔群組最佳化之運轉策略。其中，在上年度計畫的研究結果顯示，懲罰函數法將提供冰水主機群組最佳化開關機策略，使得處於低效率運轉的冰水主機關機，而讓其他處於開機狀態冰水主機維持在高效率運轉，達到節約能源的目的。<br> Abstract: This proposal presents two methodologies for determining the optimal control of condenser water cooling tower of chiller water plant. One is applied to the system operated with single chiller with cooling tower, and the other is utilized to the system with multiple chillers and cooling towers. By using these methodologies, the power consumption of the system can be minimized. In this research, the first mathematical model will be developed to predict the power requirement of a chiller under the cooling capacity varied through time, and the water temperature at the time entering condenser and leaving evaporator. Another mathematical model will also be developed to predict the power requirement of a cooling tower with various ambient conditions, tower air flow rates, inlet and outlet cooling water temperatures. By integrating these two models, this research will develop an algorithm for investigating optimal control in respond to uncontrolled variables such as the ambient conditions and the system cooling loads. In a multiple-chiller system, an optimization methodology will be developed by integrating the Penalty Function Method (PFM), which was successfully applied to optimize chiller load distribution in the previous project, into the algorithm. Besides, an efficient control strategy is included to provide energy conservation by shutting down the inefficient chillers and letting the rest of the on-line chillers to operate efficiently.冰水主機冷卻水塔最佳化懲罰函數法ChillerCooling towerOptimalPenalty function method