Temporal Segmentation for the Estimation and Benchmarking of Heating and Cooling Energy in Commercial Buildings in Seoul, South Korea

Ki Uhn Ahn (), Deuk-Woo Kim, Seung-Eon Lee, Chang-U Chae and Hyun Mi Cho
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Ki Uhn Ahn: Department of Building Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Korea
Deuk-Woo Kim: Department of Building Energy Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Korea
Seung-Eon Lee: Department of Building Energy Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Korea
Chang-U Chae: Research Strategic Planning Department, Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Korea
Hyun Mi Cho: Department of Building Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Korea

Sustainability, 2022, vol. 14, issue 17, 1-14

Abstract: The building sector is responsible for more than one-third of total global energy consumption; hence, increasingly efficient energy use in this sector will contribute to achieving carbon neutrality. Most existing building-energy-benchmarking methods evaluate building energy performance based on total energy use intensity; however, energy usage in buildings varies with the seasons, and as such, this approach renders the evaluation of cooling and heating energy difficult. In this study, an information gain-based temporal segmentation (IGTS) method was used to identify the seasonal transition times based on patterns of hourly weather and corresponding building energy use. Twelve commercial buildings were considered for the study and four seasons were identified using IGTS; base-load, cooling energy, and heating energy data were gathered. For the 12 buildings, the estimated and measured heating and cooling energy during the summer and winter periods showed a linear relationship (R 2 = 0.976), and the average of those differences was 9.07 kWh/m 2 . In addition, differences in the benchmarking results based on these energies were marginal. The results indicated that the IGTS approach can be effectively used for determining the actual heating and cooling energy consumption in buildings, as well as for energy benchmarking. This can, in turn, improve building energy use, with positive implications for achieving carbon neutrality.

Keywords: energy use intensity; temporal segmentation; commercial building; benchmarking; energy disaggregation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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