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

Dongil Kim; Byeongho Lee

doi:10.7836/kses.2018.38.6.015

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2018 Vol.38, Issue 6 Preview Page Next Page

Research Article

The Development of the Calibration Method of Building Energy Consumption by HDD_m and CDD_m 냉 · 난방도일에 따른 건물에너지 사용량 보정기법 개발

30 December 2018. pp. 15-26

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Abstract

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.

Keywords

Cooling degree day, CDD_m

Heating degree day, HDD_m

Building Energy Consumption

Calibration Method

키워드

월간 냉방도일

월간 난방도일

건물에너지사용량

보정기법

References

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.

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

Meteorological office, Automatic Weather Observation Data(www.data.kma.go.kr)

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.

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.

Choi, K. W., Woo, H. J., Jeong, S. H., Lee, H. N., Leigh, S. B., Architectural Institute of Korea, pp. 13-14, 2015.

Information

Publisher :Korean Solar Energy Society
Publisher(Ko) :한국태양에너지학회
Journal Title :Journal of the Korean Solar Energy Society
Journal Title(Ko) :한국태양에너지학회 논문집
Volume : 38
No :6
Pages :15-26
Received Date : 2018-09-02
Revised Date : 2018-10-26
Accepted Date : 2018-11-05
DOI :https://doi.org/10.7836/kses.2018.38.6.015

Journal of the Korean Solar Energy Society ISSN:1598-6411(Print) 2508-3562(Online) 한국태양에너지학회 논문집

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