Assessing overall building energy performance of a large population of residential single-family homes using limited field data

• Published in: Journal of building performance simulation 2018-05, Vol.12 (4)
• Main Authors: Xie, Yulong, Mendon, Vrushali, Halverson, Mark, Bartlett, Rosemarie, Hathaway, John, Chen, Yan, Rosenberg, Michael, Taylor, Todd, Liu, Bing
• Format: Article
• Language: English
• Subjects: bootstrap sampling; building energy code compliance; Building energy simulation; ENERGY PLANNING, POLICY, AND ECONOMY; energy savings potential; ENGINEERING; Monte Carlo
• ISSN: 1940-1493; 1940-1507

Building energy simulation plays a significant role in building design and retrofit. Most applications deal with individual buildings which allow for the specification of detailed model inputs. However, building energy simulation can be a powerful tool for assessing energy performance even when comprehensive building characteristics are unavailable. Here, in this study, limited field data were collected on randomly selected new homes in eight US states with a goal of evaluating energy code compliance and energy savings potential. The limited data do not allow the derivation of comprehensive model inputs for each individual home sampled, let alone for the entire unknown residential construction stock. Therefore, we used prototype buildings to construct a large number of models and utilized bootstrap sampling to draw inputs from the limited data. In conclusion, this research demonstrates that overall energy performance of a large population of new homes can be assessed by the novel framework, given limited data.