TIME-SERIES ANALYSIS OF TEST CELL FIELD DATA

Response factors of physical processes offer an accurate way to charac terize the performance of building components. In this work a new meth odology for estimating response factors; this methodology is based on time series analysis techniques. In this work a new time series method of estimating the response factor values is applied to data collected from a passive solar test cell. The response factors of the test cell to the radiation component of the energy budget during the day time a nd the night time were estimated. From these response factors the nigh t time long wave loss, the day time short-wave gain at the external an d internal surface of the north wall of the test cell are evaluated an d discussed. Specific short periods of data were selected so that valu es at the meteorological extremes could be estimated These values help the designer to identify the appropriate range of performance charact eristics of the building under study. The effects of infiltration rate on the estimated long wave loss and short-wave gain are also presente d and discussed. This work is part of a broader study that is examinin g aspects of response factor estimation and its application to the per formance assessment in the building environment.