Evolutionary Optimization Applied to Wireless Smart Lighting in Energy-Efficient Museums

Abstract

The smart control of lighting systems in smart museums deals with multiple and competing objectives, such as the quality of the visitor experience as well as the energy saving. An evolutionary optimization strategy is proposed to adaptively control the intensity of lights starting from the real-time measurement of the brightness conditions and energy consumption. The system is implemented using low-cost wireless devices and it has been experimentally validated in a real indoor test site. The obtained results point out the capability to find the optimal actuation strategy able to satisfy the constraints on both energy saving (up to 37%) and the quality of the artworks presentation (for more than 95% of the considered time).