Preliminary Energy Performance Evaluation of Apartment Buildings Using Energy Consumption Heatmaps

Ji-Hyun Shin; Suwon Song

doi:10.22696/jkiaebs.20250042

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2025 Vol.19, Issue 6 Preview Page

Research Article

Preliminary Energy Performance Evaluation of Apartment Buildings Using Energy Consumption Heatmaps 공동주택 에너지 사용량 히트맵을 활용한 사전 에너지 성능평가

30 December 2025. pp. 489-501

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Abstract

This study proposes a data-driven framework for the preliminary energy performance evaluation of apartment buildings using energy consumption heatmaps derived from measured data. Electricity and heating energy use were first analyzed at both the building and household levels in a apartment complex, and heatmap visualization was then applied to identify the spatial variability of energy-intensive areas within the complex. The results show that substantial differences in energy consumption exist not only among buildings within the same complex but also among households within the same building. Based on the identified energy use characteristics, Measurement and Verification (M&V) baseline models that meet the acceptable criteria of ASHRAE Guideline 14 were developed to estimate potential energy savings for selected energy-intensive buildings and households. Consequently, the proposed framework provides a quantitative basis for identifying priority targets for energy efficiency improvements in apartment buildings prior to the implementation of energy conservation measures (ECMs).

Keywords

Apartment Building

Energy consumption Heatmap

Preliminary Energy Performance Evaluation

Measurement and Verification

Baseline Model

키워드

공동주택

에너지 사용량 히트맵

사전 성능평가

에너지 절감량 산출

베이스라인 모델

References

Choi, S., Lee, Y. (2016). An Analysis on Characteritics and Causes of Energy Usage of Contemporary Apartment Houses. KIEAE Journal, 16(6), 143-149.

10.12813/kieae.2016.16.6.143

Lee, R.D., Kang, E.H., Yoon, J.H., Kim, D.S., Kim, J.H., Won, J.Y. (2023). Investigation on Architecture and Energy End-Use Characteristics of Korean Apartments for Whole-Building Energy Simulation Modeling. Journal of the Korean Solar Energy Society, 43(4), 43-54.

10.7836/kses.2023.43.4.043

Song, S., Park, C. (2019). Alternative Algorithm for Automatically Driving Best-Fit Building Energy Baseline Models Using a Data—Driven Grid Search. Sustainability, 11(24), 1-11.

10.3390/su11246976

Song, S. (2017). Analysis of Segmented Change-point Linear Regression Models for selecting the Best-fit Building Energy Baseline, Annual Conference of SAREK, 323-326.

ASHRAE. (2014). ASHRAE Guideline 14-2014: Measurement of Energy, Demand, and Water Savings, American Society of Heating, Refrigerating and Air-Conditioning Engineers.

Efficiency Valuation Organization (EVO). (2016). International performance measurement and verification protocol: concept and options for determining energy and water savings, Efficiency valuation organization (EVO).

Korea Energy Economics Institute (KEEI). (2025). 2024 Domestic Energy Consumption. Available at: https://kesis.keei.re.kr/pdfOpen.es?bid=0014&list_no=2433&seq=2 [Accessed on 31/07/2025].

Information

Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
Publisher(Ko) :한국건축친환경설비학회
Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
Journal Title(Ko) :한국건축친환경설비학회논문집
Volume : 19
No :6
Pages :489-501
Received Date : 2025-12-05
Revised Date : 2025-12-22
Accepted Date : 2025-12-23
DOI :https://doi.org/10.22696/jkiaebs.20250042

Journal of Korean Institute of Architectural Sustainable Environment and Building Systems ISSN:1976-6483(Print) 2586-0666(Online) 한국건축친환경설비학회논문집

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