Accounting for the Occupancy Variable in Inverse Building Energy Baselining Models

dc.creator	Claridge, D. E.
dc.date.accessioned	2007-04-27T16:47:14Z
dc.date.available	2007-04-27T16:47:14Z
dc.date.issued	2001
dc.description.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.	en
dc.format.extent	250957 bytes	en
dc.format.mimetype	application/pdf
dc.identifier.other	ESL-IC-01-07-29
dc.identifier.uri	https://hdl.handle.net/1969.1/5161
dc.language.iso	en_US
dc.publisher	Energy Systems Laboratory (http://esl.tamu.edu)
dc.publisher	Texas A&M University (http://www.tamu.edu)
dc.title	Accounting for the Occupancy Variable in Inverse Building Energy Baselining Models	en

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