LAPSE:2023.12711
Published Article

LAPSE:2023.12711
Study on the Variation in Heating Energy Based on Energy Consumption from the District Heating System, Simulations and Pattern Analysis
February 28, 2023
Abstract
This study aims to analyze the actual heating energy consumption according to the location and size of apartment houses. The study shows the variation in heating energy consumption in accordance with the living pattern of residents in such apartments. By calculating the average annual heating energy consumption and distribution of the measured heating energy of two years, it was found that the outdoor temperature was inversely proportional to the average heating energy consumption. Moreover, the lowest/highest floors and corner houses were the most vulnerable since they had a lot of area exposed to the outside air and, thus, consume a huge amount of heating energy. According to this study, the heating load had relevance to the factors such as wall loss, window loss, ventilation loss, and solar radiation gain that were analyzed in accordance with the growth in house size. Based on the survey outcome on the living pattern and number of residents, a simulation was conducted to analyze the variation in heating energy consumption. Households consumed the average heating energy for 15.8 h/day and occupied for 16.4 h/day. Households consumed more than the average heating energy for 22.2 h/day and occupied for 21.2 h/day, meaning 6.4 extra hours than those consuming the average heating energy. Households consumed less than the average heating energy for 5.2 h/day and occupied for 10.9 h/day, meaning 10.6 less hours/day than those consuming the average heating energy and 17 less hours/day than those consuming more than the average heating energy.
This study aims to analyze the actual heating energy consumption according to the location and size of apartment houses. The study shows the variation in heating energy consumption in accordance with the living pattern of residents in such apartments. By calculating the average annual heating energy consumption and distribution of the measured heating energy of two years, it was found that the outdoor temperature was inversely proportional to the average heating energy consumption. Moreover, the lowest/highest floors and corner houses were the most vulnerable since they had a lot of area exposed to the outside air and, thus, consume a huge amount of heating energy. According to this study, the heating load had relevance to the factors such as wall loss, window loss, ventilation loss, and solar radiation gain that were analyzed in accordance with the growth in house size. Based on the survey outcome on the living pattern and number of residents, a simulation was conducted to analyze the variation in heating energy consumption. Households consumed the average heating energy for 15.8 h/day and occupied for 16.4 h/day. Households consumed more than the average heating energy for 22.2 h/day and occupied for 21.2 h/day, meaning 6.4 extra hours than those consuming the average heating energy. Households consumed less than the average heating energy for 5.2 h/day and occupied for 10.9 h/day, meaning 10.6 less hours/day than those consuming the average heating energy and 17 less hours/day than those consuming more than the average heating energy.
Record ID
Keywords
actual heating energy consumption, district heating system, EnergyPlus, living pattern, variation
Subject
Suggested Citation
Kim SJ, Park DY. Study on the Variation in Heating Energy Based on Energy Consumption from the District Heating System, Simulations and Pattern Analysis. (2023). LAPSE:2023.12711
Author Affiliations
Kim SJ: Department of Architecture, Korea University, Seoul 02841, Korea
Park DY: Energy Division, Korea Conformity Laboratories (KCL), Seoul 06711, Korea [ORCID]
Park DY: Energy Division, Korea Conformity Laboratories (KCL), Seoul 06711, Korea [ORCID]
Journal Name
Energies
Volume
15
Issue
11
First Page
3909
Year
2022
Publication Date
2022-05-25
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15113909, Publication Type: Journal Article
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LAPSE:2023.12711
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https://doi.org/10.3390/en15113909
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Feb 28, 2023
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