Paper Conference

Proceedings of eSim 2018: 10th Conference of IBPSA-Canada

     

Using Multiple Linear Regression to Estimate Building Retrofit Energy Reductions

Wesley Bowley, Paul Westermann, Ralph Evins

Abstract: This work applies multiple linear regression to a building energy retrofit database of the City of Victoria in order to determine the energy reductions associated with different retrofit measures. The results of the regression are then used to construct marginal abatement cost curves for retrofit options. A comparison between continuous and binary variables is performed to examine their effect on accuracy. It was found that the accuracy is comparable (R² for binary0.81, R² for continuous0.76). The regression results estimated that building envelope retrofits could reduce energy use by 40%, and heating system retrofits can reduce energy use by up to 30%. Switching to electric heat pumps could reduce emissions by an estimated 80%.
Keywords: retrofit, building stock, multiple linear regression
Pages: 522 - 531
Paper:
esim2018_2-3-B-3