한국태양에너지학회 논문집 (Journal of the Korean Solar Energy Society)

  • 제38권6호
  • /
  • Pages.15-26
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  • 2018
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  • 1598-6411(pISSN)
  • /
  • 2508-3562(eISSN)
한국태양에너지학회 (The Korean Solar Energy Society)
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냉·난방도일에 따른 건물에너지 사용량 보정기법 개발

The Development of the Calibration Method of Building Energy Consumption by HDDm and CDDm

  • 김동일 (한국감정원 녹색건축처 녹색기후지원단) ;
  • 이병호 (한국감정원 녹색건축처 녹색기후지원단)
  • Kim, Dongi (Green Building Center, Korea Appraisal Board) ;
  • Lee, Byeongho (Green Building Center, Korea Appraisal Board)
  • 투고 : 2018.09.02
  • 심사 : 2018.11.05
  • 발행 : 2018.12.30
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초록

It is difficult to check the exact building energy consumption reduction such as when green remodeling of buildings, because it is due to outdoor air temperature over the years. And in Korea although Big Data of building energy consumption is collected and managed through "The Information System of the Building Energy and Greenhouse Gases" it is underutilized because of non calibration of outdoor air temperature change. Therefore, this study aims to develope calibration method of building energy consumption by outdoor air temperature according to micro climates, and building use types. As a result of analysis, Regression equations of Building energy consumption and $HDD_m/CDD_m$ are derived and calibration method is developed by Regression coefficient.

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참고문헌

  1. Choi, J. Y., Song, C. K., Kim, D. R., Hong, S. C., Hong, Y. D., Lee, J. B., Projection of Future Heating and Cooling Degree Days over South Korea under the IPCC SRES Scenarios: An Experiment with CCSM3 and MM5 Models, Journal of Climate Change Research, Vol. 4, No. 2, pp.141-158, 2013.
  2. Meang, M. J., Lee, J. H., Song, D. S., A proposal of the balance point temperature of heating degree day considering the climate conditions and energy saving design standards in Korea, The Society Of Air-Conditioning And Refrigerating Engineers of Korea, pp. 370-373, 2015
  3. Meteorological office, Automatic Weather Observation Data(www.data.kma.go.kr)
  4. Leigh, S. B., A Study for Predicting Building Energy Use with Regression Analysis, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 12, No. 12, pp. 1090-1098, 2000.
  5. Song, S. W., Analysis of Segmented Change-point Linear Regression Models for selecting the Best-fit Building Energy Baseline, The Society Of Air-Conditioning And Refrigerating Engineers of Korea, pp. 323-326, 2017.
  6. Choi, K. W., Woo, H. J., Jeong, S. H., Lee, H. N., Leigh, S. B., Architectural Institute of Korea, pp. 13-14, 2015.

피인용 문헌

  1. Potential Effects of Vacuum Insulating Glazing Application for Reducing Greenhouse Gas Emission (GHGE) from Apartment Buildings in the Korean Capital Region vol.13, pp.11, 2018, https://doi.org/10.3390/en13112828
  2. 그린리모델링 건물에 대한 에너지소비량 및 보정 사례연구 vol.40, pp.5, 2018, https://doi.org/10.7836/kses.2020.40.5.047