Multisource elevator energy optimization and control

Nowadays, elevators are equipped with storage devices to ensure autonomy in case of grid failure. This paper presents a method that takes advantage of these storage devices to optimize energy consumption and cost. The optimization is achieved by two controllers: a high-level one (using linear programming) and a low-level one (using simple rules). Preliminary results indicate that this method is 35% better than a naive rule-based approach in our context.