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Activity Number:
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453
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Type:
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Contributed
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Date/Time:
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Wednesday, August 6, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #301447 |
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Title:
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Reduction in Residential Energy Consumption
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Author(s):
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Seema Seema*+ and Rebekah A. Griffith and D. John Griffith, Jr.+
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Companies:
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McNeese State University and McNeese State University and McNeese State University
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Address:
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Department of Engineering, Lake Charles, LA, 70609-1735, Department of Engineering, Lake Charles, LA, 70609-1735,
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Keywords:
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Hotelling's T-Square ; Energy Conservation ; Electric Power Usage
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Abstract:
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Energy data for home and apartment use is collected over heating and cooling cycles to develop an historical data set. Variables measured include day and night electrical power consumption, household activity, indoor set-point temperatures, minimum and maximum daily environmental temperatures, and daily precipitation. A multivariate model is constructed using both regression and Hotelling's T2 analysis. Improvements are made to reduce energy consumption due to heat gain / loss to and from the residence. Further data is then collected during both heating and cooling periods. The effects of the improvements are detected with the T2 analysis and quantified by the estimated parameters of the altered regression model. Payback on the energy improvements is quantified from the statistical model, and compared to the payback expected from engineering considerations alone.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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