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2019 Vol.30, Issue 1 Preview Page
Analysis of the Factors Affecting Energy Consumption by the Physical Elements and the Household Features in Residential Buildings

주거용 건물에서 건축물의 물리적 요소와 세대특성이 에너지사용량에 미치는 영향요인 분석

Man-Su Kim*
,
Sung-Won Jung**
김만수 *
,
정성원 **
*정회원(주저자), 세종대학교 건축학과 석사과정
**정회원(교신저자), 세종대학교 건축학과 교수, 공학박사
Corresponding AuthorSung-Won Jung, Dept. of Architecture, Sejong. Univ., 209, Neungdong-ro, Gwangjin-gu, Seoul, Republic of Korea. E-mail: swjung@sejong.ac.kr
25 February 2019. pp. 13-25
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Abstract

Energy consumption of the residential sector was the highest in the total energy consumption of Korea. The energy use of residential buildings is affected not only by the building factors, but also by the features of household. While many studies have been conducted on the building factors related to energy consumption, there is a limitation of research considering household features. Accordingly, this study analyzed the influence of energy consumption by integrating the building factors and household features integrated with the previous prior research. The aim of this study is to derive building factors and household features that affect residential building energy use. The data used in the study was 'Household Energy Standing Survey'. These data provide the physical characteristics of the living space of 2,514th generation, information about households and actual energy use. Multiple regression was performed to determine the impact on individual variables. It was divided into five periods, annual, spring, summer, fall and winter. Research has shown that in addition to the building factors, the household feature also has a strong influence on residential energy use. This study is meaningful in that it has derived the building factors and household features that can be applied to efficiently manage residential energy.

Keywords
Energy Consumption
Residential
Household Features
Building Factors
키워드
에너지사용량
주거
세대특성
건축물의 물리적 특성
References

References

1

Eum, M. R., Hong, W. H., & Lee, J. A. (2018). Deriving factors affecting energy usage for improving apartment energy consumption evaluation. Journal of the Architectural Institute of Korea Structure & Construction, 34(7), 27-34.

2

Harrell, F. E. (2001). Regression modeling strategies, with applications to linear models, survival analysis and logistic regression. New York: Springer.

3

Hong, S. H., Jang, M. S., Park, H. S., & Yang, K. S. (2001). A study on the typical energy consumption of apartment. Journal of the Architecture Institute of Korea, 17(12), 151-160.

4

Hwang, H. J., & Jeon, Y. S. (2013). Empirical research of

5

Jung, J. H., Kim, J. H., Choo, J. H., Lee, S. H., & Hyun, C. T. (2017). Common maintenance cost estimation model using random forest for multi-family housing. Journal of the Architectural Institute of Korea Planning & Design, 33(3), 19-27.

10.5659/JAIK_PD.2017.33.3.19
6

Jung, S. H., Kim, S. W., Park, S. H., Lee, J. C.,...Kim, B. S. (2007). A comparison analysis of the position of low emissivity coating in low-e glazing considering indoor temperature change and energy performance. Journal of the Architecture Institute of Korea, 23(8), 255-262.

7

Kim, G. H., Youn, J. H., & Kim, B. S. (2010). Producing wind speed maps using Gangwon weather data. Journal of the Korean Society for Geospatial Information Science, 18(1), 31-39.

8

Kim, K. J., & An, Y. S. (2017). Analysis of influencing factors of building and urban planning on building energy consumption considering income gap. Journal of the Korea Planning Association, 52(5), 253-267.

10.17208/jkpa.2017.10.52.5.253
9

Kim, K. J., An, Y. S., & Lee, S. G. (2016). A study on direct and indirect effect of urban compositional elements on urban heat or energy consumption. Seoul Studies, 17(1), 125-145.

10

Kim, M. K. (2013). An estimation model of residential building electricity consumption in Seoul. Seoul Studies, 14(2), 179-192.

11

Kim, Y. I., & Song, S. Y. (2014). Energy consumption status of apartment buildings and influence of various factors on energy consumption. Journal of the Korea Solar Energy Society, 34(2), 93-102.

10.7836/kses.2014.34.6.093
12

Kim, Y. L., Hong, W. H., Seo, Y. K., & Jeon, G. Y. (2011). A study on the electricity consumption propensity by household members in apartment houses. Journal of the Korean Housing Association, 22(6), 43-50.

10.6107/JKHA.2011.22.6.043
13

Korea Energy Economics Institute (KEEI). (2016). '2016 survey on household energy consumption' survey guide. Retrieved from http://www.kesis.net/sub/sub_0001)04.jsp.

14

Lee, J. S. (2000). The public administration dictionary. Seoul: Daeyoung.

15

Lee, K. H., & Chae, U. (2008). Estimation model of the energy consumption under the building - Focused on the maintenance stage. Journal of the Architecture Institute of Korea, 24(9), 85-92.

16

Lee, S. H., Heo, I. H., Lee, K. M., & Kwon, W. T. (2004). Classification of local climatic region in Korea. Journal of the Korean Meteorological Society, 41(6), 983-995.

17

Noh, S. C., & Lee, H. Y. (2013). An analysis of the factors affecting the energy consumption of the household in Korea. Journal of Korea Planning Association, 48(4), 295-312.

18

Park, J. K. (2002). Dictionary of economics. Seoul: Nurimedia.

19

Park, S. B. (2004). A study in the increase of city temperature in Gwangju by using the of meteorological data. Journal of the Korean Solar Energy Society, 24(3), 65-71.

20

Park, S. H. (2000). Terminology of educational psychology.

21

Park, S. H., Park, J. C., Rhee, E. K., & Cho, K. H. (2014). A survey on energy consumption through operational level in apartment buildings. Journal of the Architecture Institute of Korea, 30(2), 233-240.

22

Santamouris, M. (2016). Cooling the building-Past, present and future. Energy and Buildings, 128, 678-638.

23

Seo, H. C., Hong, W. H., & Nam, G. M. (2012). Characteristics of electric-power use in residential building by family composition and their income level. Journal of the Korean Housing Association, 23(6), 31-38.

10.6107/JKHA.2012.23.6.031
24

Yang, B. K. (2006). Understanding multivariate data analysis. Seoul: Communicationbooks.

25

Yoo, H. S., Chung, J. H., Moon, J. H., & Lee, J. H. (2007). Proposal of unit building method for calculating unit heating load of apartment houses. Korea Journal of Air-Conditioning and Refrigeration Engineering, 9(1), 68-76.

26

Yoon, I. H., Min, K. D., & Kim, K. E. (1994). A study on the meteorological characteristics of Taegu area and its application to the atmospheric dispersion: II. Characteristic features of the urban heat island: Case study. Journal of the Korean Meteorological Society, 30(2), 303-313.

27

Yoon, Y. R., Shin, S. H., & Moon, H. J. (2017). Analysis of building energy consumption patterns according to building type using clustering methods. Journal of Korean Living Environment System, 24(2), 232-237.

10.21086/ksles.2017.04.24.2.232
Information
  • Publisher :The Korean Housing Association
  • Publisher(Ko) :한국주거학회
  • Journal Title :Journal of the Korean Housing Association
  • Journal Title(Ko) :한국주거학회논문집
  • Volume : 30
  • No :1
  • Pages :13-25
  • Received Date : 2018-08-30
  • Revised Date : 2018-10-02
  • Accepted Date : 2019-02-11
  • DOI :https://doi.org/10.6107/JKHA.2019.30.1.013
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