Performance evaluation of mobility-based energy-saving to control air-conditioning and lighting equipments

In this paper, we have developed a system that simultaneously and comprehensively simulates movement of people, motion sensing infrastructure, and air/light control facilities in indoor space like office buildings. This system has been designed to configure, validate and evaluate “task-ambient control systems” that precisely control air and light based on the detected people location and movement information (i.e. in a human-centric way). The proposed system has been developed based on our pedestrian simulator called HumanS that can simulate location-based systems (LBSs) involving people crowd in urban areas. In particular, we have developed (i) realistic electricity consumption model and (ii) automatic mobility generation function as new features to enable simulations of human-centric air/light control systems. Using this system with real world mobility and thermos data, we have simulated with different scenarios the performance of task-ambient control system and have revealed the dominant factors that affect the performance. We have also quantified electricity-saving effect.