Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique

Choongwan Koo and Taehoon Hong

Applied Energy, 2015, vol. 154, issue C, 254-270

Abstract: The operational rating system in building energy performance certificates (EPCs) has been used for systematically monitoring and diagnosing the energy performance in the operation and maintenance phases of existing buildings. However, there are several limitations of the conventional operational rating system, which can be subdivided into three aspects: (i) building category; (ii) region category; and (iii) space unit size. To overcome these challenges, this study conducted the problem analysis of the conventional operational rating system for existing buildings by using the statistical and geostatistical approaches. Based on the problem analysis, this study developed the dynamic operational rating (DOR) system for existing buildings by using the data-mining technique and the probability approach. The developed DOR system can be used as a tool for building energy performance diagnostics. To validate the applicability of the developed DOR system, educational facilities were selected as the representative type of existing buildings in South Korea. As a result, it was determined that the developed DOR system can solve the irrationality of the conventional operational rating system (i.e., the negative correlation between the space unit size and the CO2 emission density). Namely, the operational ratings of small buildings were adjusted upward while those of large buildings were adjusted downward. The developed DOR system can allow policymakers to establish the reasonable operational rating system for existing buildings, which can motivate the public to actively participate in energy-saving campaigns.

Keywords: Building energy performance certificate; Operational rating; Energy policy; Decision tree; One-way ANOVA (analysis of variance); Geostatistical approach (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (19)

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DOI: 10.1016/j.apenergy.2015.05.003

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