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Accounting for the Occupancy Variable in Inverse Building Energy Baselining Models
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Date
2001
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Energy Systems Laboratory (http://esl.tamu.edu)
Texas A&M University (http://www.tamu.edu)
Texas A&M University (http://www.tamu.edu)
Abstract
The occupancy factor is often
underestimated in inverse modeling of building
energy use, or accounted for by grouping the
daily data in occupied and unoccupied groups
which are modeled separately. For instance, in
institutional buildings it is common to identify
"weekdays/weekends", "semester breaks", and
"holidays" daytypes. In order to develop one
model that accounts for all periods, i.e.,
occupied and unoccupied, at an hourly time
scale, a dummy variable (regressor) can be used.
The dummy variable is often used in a
simplified way; for instance, having a value of 0
between 8:00 AM and 5:00 PM, and 1 between
5:00 PM and 8:00 AM, for an office building.
In this paper, the effect of using different
alternatives in accounting for the occupancy
variable in inverse modeling of building energy
use is investigated, and the resulting uncertainty
in the predictions, using the SMLP inverse
method are presented.