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U.S. Department of Energy
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What do hourly performance data on a building tell us

Conference ·
OSTI ID:6480349
Hourly performance data on a building contain valuable information on the dynamics of the building and of the HVAC systems. Quantities such as the building loss coefficient, solar gains, and the net effect of thermal masses and their couplings are all contained in the data. The building element vector analysis (BEVA) method has been applied to a multizone residential passive solar building monitored under the SERI Class B program. Using short-term data (approximately one week), the building parameters were regressed. With these as inputs, the subsequent performance of the building was well predicted. Using performance data for the period February 3-9, 1982, the building vectors were obtained by regression. The resulting best fit for the zone temperature is given. These parameters were used to predict the temperature for the period February 10-14. The resulting values are also plotted along with the outdoor temperature, solar radiation on a south vertical surface, and auxiliary energy for these periods.
Research Organization:
Solar Energy Research Inst., Golden, CO (USA)
DOE Contract Number:
AC02-83CH10093
OSTI ID:
6480349
Report Number(s):
SERI/TP-253-2476; CONF-840954-9; ON: DE85000527
Country of Publication:
United States
Language:
English