Dynamic Integration of Shading and Ventilation: Novel Quantitative Insights into Building Performance Optimization

Buildings consume nearly 40% of global energy, necessitating innovative strategies to balance energy efficiency and occupant comfort. While shading and ventilation are critical to sustainable design, they are often studied independently, leaving gaps in understanding their combined potential. This study provides a novel quantitative analysis of dynamic shading and ventilation strategies, using a dataset of 5000 simulations in IDA Indoor Climate and Energy (IDA ICE) to reveal the synergies and trade-offs in building performance. Four distinct scenarios are analyzed: minimal shading and limited ventilation (shading factor Sf = 0.0, ACH = 0.5), optimized shading and moderate ventilation (Sf = 0.5, ACH = 1.5), dynamic shading and enhanced ventilation (Sf dynamically adjusted, ACH = 2.5), and high shading with maximum ventilation (Sf = 1.0, ACH = 3.0). The results show a progressive reduction in thermal discomfort, with the predicted percentage dissatisfied (PPD) decreasing from >80% in the first scenario to ~25% in the dynamic scenario and ~15% in the high shading scenario. The energy demand increases by up to 40% in the highest shading scenario, highlighting trade-offs. These findings underscore the importance of dynamically integrating shading and ventilation, providing actionable recommendations such as dynamic shading and night cooling that can reduce discomfort and improve energy efficiency by up to 30%. By bridging the research gaps, this study advances sustainable building design and offers a robust framework for creating energy-efficient, comfortable buildings.