HOME ENERGY CONSUMPTION ESTIMATION BY END USE AND ENERGY EFFICIENCY UPGRADE RECOMMENDATIONS
Abstract
Residential energy consumption is becoming an ever-growing sector, in 2012 accounting
for 21.2% of total consumed energy in the United States. People have been focused
on exploring potential strategies to lower the associated energy consumption, including
energy efficiency improvement and policy adjustment. However, in the absence of detailed
breakdown of energy consumption, it is hard to effectively apply energy efficiency
upgrades, meaning a necessity of getting a deep understanding of the energy consumption
estimates.
To achieve the breakdown of energy consumption, this project primarily focuses on
the individual home energy consumption, through estimating the energy consumed in
space heating, space cooling, water heating, and appliances. In particular, multiple-regression
method is employed to construct the prediction model, and Residential Energy Consumption
Survey (RECS) is used as the source data, which includes more than 12000 samples and
has satisfactory data reliability.
As a result, many select factors are proven to be closely associated with certain
energy end use. For instance, space heating/cooling energy consumption is greatly
driven by the housing unit square feet, and a bigger house would result in more energy
consumed in the heating and cooling sector, attested by a great coefficient in the
constructed regression model. In addition, other geographic factors, such as climate
region and heating degree-days, also indicate influences on the energy consumption
pattern. This project further applied the regression models to establish a database
of estimation by taking census data as input, providing reference cases for individual
home energy efficiency upgrades.
Type
Master's projectPermalink
https://hdl.handle.net/10161/8500Citation
Li, Chao (2014). HOME ENERGY CONSUMPTION ESTIMATION BY END USE AND ENERGY EFFICIENCY UPGRADE RECOMMENDATIONS.
Master's project, Duke University. Retrieved from https://hdl.handle.net/10161/8500.Collections
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