Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions

Sky classification for the site was done based upon the 'all weather model' by Perez. As revealed from the primary survey, factors identified as important in influencing artificial lighting during daytime are sky conditions, age, work hours, education, income and housing typology. A binary logistic regression applied to the database to predict whether people would switch on a light at daytime in the living room, revealed that the need was least in the Angular apartments and highest in the Bungalows. A similar model for kitchen revealed highest daytime artificial illumination requirement for duplexes with lowest for angular apartments.