UNCERTAINTY AND SENSITIVITY ANALYSIS OF NATURAL VENTILATION IN HIGH-RISE APARTMENT BUILDINGS
Quantification of natural ventilation rates is an important issue in HVAC system design. Natural ventilation in buildings depends on many parameters whose uncertainty varies significantly, and hence the results from a standard deterministic simulation approach could be unreliable. This study performed uncertainty analysis to predict natural airflow rates. The paper presents relevant uncertainty in model parameters such as meteorological data, building properties (leakage areas of windows, doors, etc.), etc. Uncertainties of the aforementioned parameters were quantified based on data available from literature and on-site visits. The Monte-Carlo method with Latin Hypercube Sampling (LHS) was used for uncertainty propagation. The CONTAMW was chosen to simulate natural ventilation phenomena in a high-rise apartment building that is typical of residential buildings in Korea. It is shown that the uncertainty propagated through this process is not negligible and may significantly influence the prediction of the airflow rates. In the paper, the result of a sensitivity analysis is also addressed.
Uncertainty sensitivity natural ventilation
Se-Hoon Hyun Cheol-Soo Park Godfried Augenbroe
Department of architectural Engineering, SungKyunKwan University, South Korea College of Architecture, Ph.D.Program, Georgia Institute of Technology
国际会议
北京
英文
2007-09-03（万方平台首次上网日期，不代表论文的发表时间）