Is Your Next Project Going to Be LEED Certified?
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Type of Project: Educational
Location: Beijing
Avenues Beijing School, located in Beijing, is a collaboration between RDFZ and Avenues, developed to include educational facilities from early learning to senior high school. Our goal for this project was to optimize building performance and energy efficiency through detailed site analysis and Computational Fluid Dynamics (CFD) simulations.
Our team was tasked with evaluating the natural ventilation and thermal comfort strategies suitable for Beijing’s climate, characterized by hot, humid summers and cold, dry winters.
In our site airflow study, we focused on analyzing the distribution of outdoor wind conditions, including wind velocity, wind velocity vectors, wind pressure, and the wind velocity amplification factor across the school campus. Using CFD simulations, we evaluated different building layout scenarios and configurations to understand how these factors influence natural ventilation and overall thermal evaluation.
Our simulations indicated that the presence of continuous wind channels, especially when the main spine corridor was kept open, resulted in higher wind speeds and better air circulation. This setup allowed for more effective pollutant diffusion and improved thermal comfort by maintaining indoor air movement within optimal speed ranges.
We found that maintaining unobstructed wind channels through the main spine corridor, oriented from south to north, significantly enhanced natural ventilation. This configuration facilitated efficient airflow across the campus, helping to lower indoor temperatures and improve overall comfort during the hot summer months.
We analyzed wind pressure distribution across building surfaces and identified that strategic placement of wind barriers helped in managing the airflow and minimizing excessive pressure differentials. This approach effectively reduced air infiltration risks and maintained structural integrity against wind loads.
Based on the simulation results above, we developed a list of recommendations aimed at optimizing:
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