2011
DOI: 10.2172/1219220
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Assessing and Improving the Accuracy of Energy Analysis for Residential Buildings

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Cited by 33 publications
(25 citation statements)
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“…(Arena and Vijaykumar 2012;LBNL 2012). Pre-retrofit predictions from that study were found to be significantly higher than actual energy use, supporting Polly et al (2011). The major findings from that study included.…”
Section: Introductionsupporting
confidence: 65%
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“…(Arena and Vijaykumar 2012;LBNL 2012). Pre-retrofit predictions from that study were found to be significantly higher than actual energy use, supporting Polly et al (2011). The major findings from that study included.…”
Section: Introductionsupporting
confidence: 65%
“…BEopt was one component of the BA Program that added retrofits into its repertoire and has been continually improved since then. Polly et al (2011) propose a method for improving the accuracy of residential energy analysis methods. A key step in this process involves the comparison of predicted versus metered energy use and savings.…”
Section: Executive Summarymentioning
confidence: 99%
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“…There are significant uncertainties in the energy use and energy saving predictions estimated by software tools, caused by the inputs collected at the energy assessment and the algorithms used in the tools. Particularly in inefficient existing homes, energy use predictions tend to be higher, causing the prospective energy savings from a home energy upgrade to be over-predicted (Polly et al 2011). Investors may be reluctant to invest in the home energy upgrade industry when uncertainties are present.…”
Section: Technical Barriers Gaps and Opportunitiesmentioning
confidence: 99%