The typical infiltration load for a residential building has been found to range from onethird to one-half of the total space conditioning load. However, most infiltration measurements have been made on single-family houses. Inform~tion about the role of infiltration in the energy consumption of large buildings is limited. Furthermore, the prediction of infiltration rates in high-rise buildings is a complex problem. The forces that drive this flow result from the superposition of wind pressure on the faces of the building and the stack effect across the height of the building. Infiltration. models have shown the latter effect to be significan t in single-family residences, particularly in colder climates and, consequently, the stack effect is even greater in high-rise buildings. For this work, we performed traCer gas and fan pressurization measurements on a 30 m tall University of California dormitory in order .to determine the importance of both wind and stack effect upon infiltration. Measured pressure and tracer gas distributions were compared with those from a predictive infiltration computer model for high-rise buildings. To study the influence of the air flow pattern around the building, this model uses various wind velocity profiles characteristic of urban areas and different sets of surface pressure coefficients derived from wind tunnel experiments. Keywords: air-infiltration 'multi-cell' calculation model, thermal buoyancy and wind effect, Ian pressurization, leakage area, tracer gas measurements, wind pressure data, and air infiltration calculation.-1- .. . . 8.temperature (oe)
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.