SUMMER OFFICE BUILDING BASED ON ORTHOGONAL DESIGN OF DIFFERNT MODELS NUMEROCAL STUDY ON OPTIMIZATION OF AIR SUPPLY ARATERS

In the post-pandemic era, there is an increasing demand for enhanced indoor thermal comfort and air quality. This study addresses the challenge of optimizing air supply strategies in office buildings to synergistically improve thermal comfort, air quality, and energy efficiency. Focusing on a typical office space, orthogonal experimental design and computational fluid dynamics (CFD) simulations were employed to quantify the effects of air supply modes (displacement ventilation), temperature (24°C), velocity (1 m/s), and angle (0°) on predicted mean vote (PMV), draft rate (DR), air age, infection probability, and energy utilization efficiency. Results demonstrate that under displacement ventilation with optimized parameters (24°C, 1 m/s, 0°), compared to the baseline scenario, PMV improved by 17%, DR decreased by 59.54%, air age shortened by 35.89%, infection probability reduced by 47.57%, energy efficiency increased by 36.34%, and the comprehensive evaluation score rose by 58.95%. The proposed optimized ventilation strategy provides data-driven insights and technical pathways for designing high-performance ventilation systems in post-pandemic office environments, effectively balancing health, comfort, and energy conservation.