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Analysis of Energy Consumption of Duplex Residences in College Station, Texas
Abstract
This paper characterizes the variability of energy
consumption due to a series of construction,
occupant, and weather-related effects in duplex
residences in College Station, Texas. In this paper,
spline regression was used to estimate cooling
efficiency, heating efficiency, base load, modified
cooling balance point temperature, and modified
heating balance point temperature for monthly billed
kWh against average daily outside temperature.
These estimates were used to predict normalized
annual consumption. Best subsets regression and
multiple regression were used to explore the
relationship between energy consumption and
construction, occupant, and weather-related factors.
The sample for this paper was I40 duplex
residences which used only electricity for cooling
and heating, and had one year minimum occupancy
in College Station, Texas. The spline regression
models with weather-related factors achieved
adjusted R~ values averaging 0.82. Construction,
occupant, and weather-related factors were
determined to be components of energy
consumption. In the final modeling, construction,
occupant, and weather-related factors accounted for
93% of the variance for the normalized annual
consumption of duplex residences.
The findings showed there was a significant
relationship between normalized annual consumption
and year built, thermostat setting, cooling efficiency,
heating efficiency, base load, modified cooling
balance point temperature, and modified heating
balance point temperature.
Citation
Kim, S. B.; Woods, P. K. (1998). Analysis of Energy Consumption of Duplex Residences in College Station, Texas. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /6729.