學校爲提供舒適的學習環境，常以冷氣空調調節室内温度，卻也造成大量的能源消耗；在密閉的空間內，如何有效利用育g源之配置與管理而達到舒適感，爲現今重要的硏究課題。本研究以環球科技大學生態旅遊教育暨技術支援中心爲實驗對象，針對不同的開窗率與水冷式箱型冷氣機之配置，實測室內熱舒適度指標，並將之與所需最小耗電成本做爲限制條件，進行整數線性規劃，以求得最佳化空調配置方式，繼之利用回歸分析將室內外的溫溼度差作爲預測室内環境之依據，以瞭解週遭環境因子變化對室内環境因子之影響。本研究實驗期間爲夏季7~9月，硏究發現：當無空調設備時，室內與室外之溫溼度具顯著正相關，而室內温度與濕度爲顯著負相關；在33%開窗率情況下，生態走廊區及主題展示區半小時平均每增加温度1°C，室內熱舒適度指標分別增加0.44及
0.43，而66%開窗率之增加値分別爲0.11及0.12 ；在窗全開情況下，生態走廊區之半小時平均溫及溼度差對熱舒適度指標無顯著預測力，而主題展示區半小時平均溼度差每增加1%，室內熱舒適度指標減少0.26。據此，開窗率越高對室內温度有明顯之改善效果。在考量耗電成本情況下，窗全開爲最佳配置方式。

Schools often provide a comfortable learning environment with air conditioning for regulating indoor temperature, but suffer a energy consumption problem. Within a confined space, how to effectively utilize the allocation and management of energy devices to achieve comforts is an important research topic. In this research, the center for ecotourism education and development of TransWorld University was the experimental subject. Through a variety of allocations of fenestration rate and water-cooled air-conditioners, the indoor Predicted Mean Vote (PMV) was monitored and used together with the required minimum power consumption costs as constraints to conduct the integer linear programming analyses for obtaining the allocation optimization solution. In addition, regression analysis was employed to examine the predictive power of indoor/outdoor temperature and humidity on the indoor environment. This research was conducted during the summer from July to September. Research findings include: when no air-conditioning equipment, the indoor temperature/humidity and the outdoor temperature/humidity were significantly positive-correlation, while the indoor temperature and humidity significantly negative-correlation; in 33% fenestration rate case, as the mean temperature for half an hour of the ecological corridor area and topic display area increased 1 oC, the indoor thermal comfort index increased by 0.44 and 0.43 respectively, while the increase values of 66% fenestration rate case were 0.11 and 0.12, respectively; in the windows fully open case, the mean temperature and humidity for half an hour of the ecological corridor area had no significant predictive power on the indoor PMV, and the mean humidity for half an hour of the topic display area increased by 1% would decrease the indoor PMV by 0.26. Accordingly, the higher the fenestration rate, the higher the significant improvement in the indoor temperature. By considering power consumption costs, windows fully open case was the optimal allocation.