近年環保意識抬頭，對於高科技產業來說，節能規劃始終是企業內部非常注重且急需改善的問題之一，本研究針對面板製造廠房之中央空調系統，提出一混整數規劃模型，進行最佳化空調系統控制，同時考量冷凍噸需求與室外溫度之不確定性，透過隨機最佳化模型，訂定不同需求與溫度環境下，最為穩健的空調系統控制。實驗結果顯示，本模型可為個案公司減少3.2%的系統總耗能，進而達到節能效果。

Many high-tech industries consume energy heavily. This study focuses on the optimal control of the heating, ventilation, and air conditioning (HVAC) system in the high-tech industries as considering simultaneously the cooling demand and environmental uncertainty. This study investigates the HVAC system control and uses a leading TFT-LCD manufacturing firm in Taiwan as an example. A stochastic mixed integer mathematical programming model of power consumption is built for optimizing the operation of HVAC to achieve energy conservation. We examine the influence of different sampling distributions of indoor cooling demand and outdoor temperature. Experimental results indicate that the presented model saves up to 3.2% total energy consumption for the HVAC system for the TFT-LCD manufacturing plant under investigation.

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