A coupling control model of color temperature and illumination in naturally lighted room based on evolutionary algorithm

Abstract

Indoor light environment comfort is evaluated using the illumination index, and the color temperature of building space is not specifically a requirement. However, previous studies have demonstrated that color temperature has a great impact on the human central nervous system, and regulating it can not only improve brain function, but also promote brain fatigue recovery. Owing to natural light dynamic change characteristics, the illumination and color temperature of building space that introduce natural light present a complex nonlinear coupling relationship. Moreover, the regional and seasonal characteristics of architecture aggravate the difficulty in the dynamic management and control of an architectural light environment. Thus, intelligent control technologies for natural lighting and artificial lighting are gradually attracting the attention of researchers in the field of intelligent building. However, coupling control methods for illumination and color temperature are not mature, with many engineering issues unresolved. Therefore, a new coupling model based on coupling parameters and synchronous control is proposed in this paper. The distribution uniformity between illumination and color temperature can be met simultaneously in a dynamic light environment. This work has an active role in the improvement of indoor light environment quality and further supplements the light quality evaluation index.