005 Research on the Simulation of Daylighting Performance and Energy-saving Optimization of Office Buildings

Abstract

This study investigates the integration of Climate-Based Daylight Modeling (CBDM) and IES-VE software to assess daylight performance and optimize lighting energy consumption in an office building in Qingdao, China. Unlike traditional single-time-point simulations, the study uses annual dynamic daylight metrics—Spatial Daylight Autonomy (sDA), Useful Daylight Illuminance (UDI), and Annual Sunlight Exposure (ASE)—to evaluate daylight availability throughout the year. The research also examines the impact of roof skylights, high-reflectance materials, and dynamic shading on daylighting performance and energy savings. The results indicate that these strategies improve daylight autonomy by 32%, reduce glare risk by 18%, and lower lighting energy consumption by approximately 30%. This paper provides a practical framework for integrating daylight optimization and energy-saving strategies in office buildings.