Digital Twin-Based Assessment Framework For Monitoring Visual Comfort

Abstract

A digital twin is a virtual depiction of a real-world building environment. The ongoing rapid development of the sensor system and the database is expediting the creation of a digital twin. The decision support system that incorporates digital twins is anticipated to aid designers and operators in establishing an optimal design and control strategy. This study addresses this gap by applying Digital Twin technology to optimize visual comfort in a real-world laboratory setting. The research integrates theoretical understanding of visual ergonomics with practical application, using a case study approach. The objective was to develop a Digital Twin model that simulates critical visual comfort parameters (e.g. illuminance levels, Daylight Factor and glare conditions). The case study is the Solarlab locate in the Engineering Department of the University of Palermo. This study aims to demonstrates the impact of Digital Twin technology in enhancing visual comfort within indoor environments. Through innovative applications in a laboratory setting, it highlights the potential of Digital Twins in optimizing lighting and shading systems, thereby contributing significantly to energy efficiency and user well-being.