Simulation Study on Heating Energy of Apartment Buildings using Actual Weather Data

Kyu-Nam Rhee; Gun-Joo Jung

doi:10.22696/jkiaebs.20250041

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2025 Vol.19, Issue 6 Preview Page Next Page

Research Article

Simulation Study on Heating Energy of Apartment Buildings using Actual Weather Data 실제 기상데이터를 활용한 공동주택 난방 에너지 시뮬레이션 연구

30 December 2025. pp. 479-488

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Abstract

Typical meteorological year (TMY) data is widely used to predict building energy performance under standardized climate conditions. However, the TMY data may not be suitable for assessing the energy performance under climate conditions of a specific year. This study was conducted to investigate the impact of TMY and actual weather data (AWD) on the heating energy consumption of apartment buildings. Compared to the actual energy consumption, the TMY-based simulation resulted in the error up to –15.3% and –14.6% for Seoul and Busan, respectively. In contrast, the AWD-based simulation showed the error of –1.7%~+8.9% and –3.7%~+2.9% for Seoul and Busan, respectively. It was also suggested that the TMY-based model should be modified using average winter temperature and heating degree days. The modified TMY model showed the discrepancy up to 8.2% and 8.8% for Seould and Busan, respectively, compared to the results by the AWD-based simulation.

Keywords

Energy simulation

Apartment buildings

Heating load

Typical meteorological data

Actual weather data

키워드

에너지 시뮬레이션

공동주택

난방부하

표준기상데이터

실제기상데이터

References

Hosseini, M., Bigtashi, A., Lee, B. (2021). Generating future weather files under climate change scenarios to support building energy simulation–A machine learning approach. Energy and Buildings, 230, 110543.

10.1016/j.enbuild.2020.110543

Kim, D., Lee, B. (2018). The development of the calibration method of building energy consumption by HDDm and CDDm. Journal of the Korean Solar Energy Society, 38(6), 15-26.

10.7836/kses.2018.38.6.015

Kim, Y.J., Park, C.S. (2016). Uncertainty and Sensitivity Analysis of Building Energy Simulation under Future Climate Change and Retrofit. Journal of the Architectural Institute of Korea planning & Design, 32(2), 213-222.

10.5659/JAIK_PD.2016.32.2.213

Kočí, J., Kočí, V., Maděra, J., Černý, R. (2019). Effect of applied weather data sets in simulation of building energy demands: Comparison of design years with recent weather data. Renewable and Sustainable Energy Reviews, 100, 22-32.

10.1016/j.rser.2018.10.022

Moradi, A., Kavgic, M., Costanzo, V., Evola, G. (2023). Impact of typical and actual weather years on the energy simulation of buildings with different construction features and under different climates. Energy, 270, 126875.

10.1016/j.energy.2023.126875

Seo, R.S., Jung, G.J., Rhee, K.N. (2023). Impact of green retrofits on heating energy consumption of apartment buildings based on nationwide energy database in South Korea. Energy and Buildings, 292, 113142.

10.1016/j.enbuild.2023.113142

KIAEBS. (2024). KIAEBS S-19:2014: Korean Typical Meteorological Year Data (1991~2020), Seoul: KIAEBS.

DesignBuilder Software Ltd. (2025). Climate Analytics. Available at: https://designbuilder.co.uk/cahelp/Content/ClimateAnalyticsData.htm [Accessed on 15/11/2025].

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 :479-488
Received Date : 2025-12-04
Revised Date : 2025-12-22
Accepted Date : 2025-12-23
DOI :https://doi.org/10.22696/jkiaebs.20250041

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

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