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Split-degree day method: A novel degree day method for improving building energy performance estimation by Farshad Kheiri; Jeff S. Haberl; Juan-Carlos Baltazar is a Engineering article available to read on EtoBox.

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Degree days have been widely used in different applications in buildings, such as estimating building energy use and climate classification for building energy standards. However, there are limitations with the use of conventional degree days that result in inaccuracies in estimating building energy consumption using degree day-based methods. This paper proposes a new method, the split-degree day method, that shows substantially improved results in the accuracy of the building energy use estimation compared to the conventional degree day methods. The analysis in 801 locations in the U.S. using regression models showed that the new, proposed split-degree day method in this paper, compared to the conventional degree day method, better accounts for the weather parameters and more accurately estimates end-uses. The split-degree days showed an improvement of over 5% in the accuracy of the total annual energy use prediction, 8% for predicting the heating energy use, 0.3% for predicting the cooling energy use, and 33% for predicting the fan energy use. Additionally, the analysis showed improved results for the model with higher thermal mass and the model with a 24-hour operating schedule.

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Author

Farshad Kheiri; Jeff S. Haberl; Juan-Carlos Baltazar

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Engineering (Physical Sciences)