A methodology to develop monthly energy use models from utility billing data for seasonally scheduled buildings : application to schools /
against the one proposed by Landman for 10 schools in
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1998.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | against the one proposed by Landman for 10 schools in approach recommended by Landman. as the difference between the energy consumption buildings in the Texas LoanSTAR program are determined buildings. This suggests that selection of data consumption during the post-retrofit period. Savings CV (Coefficient of Variation of the Root Mean Square daily and seasonal variations in occupancy. The method done with great care. 3. The proposed 4-P multiple- Error ) values for the proposed methodology are much for developing baseline models for buildings such as for non-summer months, and a mean model for the summer for the proposed method, implying that it is suitable incorporates occupancy rate, permitting a generalized levels during occupied and unoccupied days of the linear regression model is recommended. It was found measurement for buildings such as primary and methodology for developing baseline models of energy model which retains the distinction between energy use model. 2. Using daily data from the Dunbar Middle months. (Landman 1996). This thesis proposes a more complicated it allows a more intuitive and occupancy patterns. Although this method is a little of outside temperatures for heavily scheduled operating schedules of these buildings. Currently, periods for baseline model identification should be predicted by a baseline model and the measured energy savings are often determined by simple pre-post schedule on energy use is sometimes comparable to that School, it is illustrated that the effect of the schools that experience large seasonal changes in secondary schools is very difficult due to the special smaller than those of the 3-P mean model method, while Texas. The major results are summarized below: 1. The the average absolute percent error is somewhat smaller The measured energy savings from retrofits in to be somewhat more accurate than the 3-P mean model unified model to be identified than the standard 3-P use for buildings such as schools which have important utility bill comparison; they may also be determined utilizes utility billing data, but also explicitly with two separate models for the baseline: a 3-P model year. The proposed methodology has been evaluated |
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| Item Description: | "Major subject: Mechanical Engineering". Vita. |
| Physical Description: | xvii, 124 leaves : illustrations ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references (leaves 92-96). |