Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37415
Title: Statistical derivation of coincident climate conditions for air-conditioning design
Authors: Chen, TY
Yik, F
Burnett, J
Issue Date: 2004
Source: CIB World Building Congress, Toronto, Ontario, Canada, 2-7 May 2004 How to cite?
Abstract: This paper presents a method for the rational selection of coincident climate design conditions, which is based on the theory of probability. An average statistic risk level has been proved to be approximately equal to the annual percentile of coincident dry and wet bulb temperatures for HVAC systems whose thermal time constant is less than one hour. An algorithm is also developed to determine the contours of equal risk from the matrix of risk factors. Representative coincident design dry and wet bulb temperatures are obtained through statistic analysis of weather records of 15 years in Hong Kong. These statistically derived outside design temperatures are compared with the coincident dry and wet bulb temperatures currently defined by ASHRAE and CIBSE.
URI: http://hdl.handle.net/10397/37415
Appears in Collections:Conference Paper

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