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.