AI-Driven Adaptive Façades for Daylight and Visual Comfort Optimization
Effective daylight management and visual comfort in office spaces remain crucial for occupant well-being and productivity. Traditional shading systems often fail to adapt to dynamic environmental conditions and individual preferences, leading to discomfort and energy inefficiency. This research explores AI-driven adaptive façades as a solution, integrating real-time control algorithms and predictive modeling to enhance indoor lighting quality and optimize energy usage. Problem Statement Current shading solutions in office environments are typically limited to static or manually adjustable systems. These fixed geometries cannot respond dynamically to variations in sunlight, glare, or occupant requirements. The lack of adaptability restricts optimal daylight utilization and visual comfort, highlighting the need for intelligent, real-time façade control systems that can respond to changing conditions. Methodology The study implements a real-time shading control algorithm that ...