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• W2181513984 abstract "With the need to reduce greenhouse gas emissions and the fact that 50% of US residential energy consumption is attributable to space heating and air conditioning, it is imperative to understand the variables that influence the use of these technologies. This study analyzes the Residential Energy Consumption Survey of 1,172 samples from the four largest US states- California, Florida, New York and Texas- to determine the relative effects of building age and regional temperature variations on building heating and cooling. Backwards stepwise regression was used to isolate the influential variables in the survey and to build two models, one for air conditioning and one for space heating. Degree Day, building age, square footage, and number of windows were found to be influential on space heating whereas degree day, square footage, number of windows and number of residents were found to be influential on air conditioning. From this model, lmg analysis for relative importance on the heating model revealed that degree day was the most important variable, followed by building age. On the state level, all of the national heating model variables were statistically significant in California and Texas, but not in New York and Florida. Overall, the influence of temperature was found to be the most significant influence on energy consumption for both air conditioning and space heating; however, building codes that focus on building age may still provide valuable energy savings for space heating energy consumption." @default.
• W2181513984 created "2016-06-24" @default.
• W2181513984 creator A5012991360 @default.
• W2181513984 date "2011-01-01" @default.
• W2181513984 modified "2023-09-26" @default.
• W2181513984 title "Energy Bill Breakdown: Regional Temperature Variations and Construction Age on Energy Consumption" @default.
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