Parametric optimization procedure for efficient window design of educational buildings in the Pearl River Delta of China

Abstract Windows are responsible for the largest amount of energy loss related to building envelope. Past studies on consumption windows have mainly focused residential and commercial buildings, while few explored in educational buildings. The sizes locations classroom affect not only but also indoor environment quality, which is an issue that needs be balanced. This paper takes a Guangzhou as object. Under premise meeting lighting standards classroom, two parameters—window height sill —were simulated different corridors north–south east–west classrooms analyse impact their changes well based parametric platform Grasshopper its plug-ins Ladybug Honeybee. number fenestration combinations both sides was optimized automatically by genetic algorithm, positions benefitted savings were obtained. In best case ~16.6% consumed whole year can saved compared with worst case. conclusion provide quick decision-making process design window shapes purpose early stage buildings Pearl River Delta such quickly clearly guaranteed subsequent configuration.