Abstract
The energy consumption of buildings is a significant responsibility, although the percentage of building energy usage varies in different countries. It is necessary to improve the energy efficiency of massive instructional buildings in universities. However, no existing attempts have been made to reduce electricity waste as well as consider student occupants' satisfaction during their study time there in the evenings. This article aims to do so due to the low utilization rate of campus classrooms for evening study. We combine students? time habits and seat selection preferences with the modified social force model to conduct simulations for occupant traffic. An improved cuckoo search (ICS) algorithm is adopted to find the threshold conditions of powering on/off classrooms, by which the schedules for classrooms can be found.
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