Experimental regression model to predict natural lighting levels and energy savings in buildings

Abstract

This paper presents a model to estimate the values of natural lighting that can be registered in interior spaces with light pipes, as well as the savings percentage that may be obtained by using this technology. The lighting data obtained with an experimental prototype on scale of a teaching space at the University of Córdoba - where light pipes have been introduced -, together with the irradiance data registered in the radiometric station of the Applied Physics Department (University of Córdoba), have allowed the development of a regression model among the levels of natural lighting, sun elevation, and global and diffuse solar irradiance. The phenomenon behaviour has been simulated for a year with this regression, which has resulted in large time intervals with natural lighting levels above the minimum threshold recommended for teaching spaces.