Effect of Measuring Period on Predicting the Annual Heating Energy Consumption for Building

연간 건물난방 에너지사용량의 예측에 미치는 측정기간의 영향

  • 조성환 (한국에너지기술연구원 건물에너지연구센터) ;
  • 태춘섭 (한국에너지기술연구원 건물에너지연구센터) ;
  • 김진호 (한국에너지기술연구원 건물에너지연구센터) ;
  • 방기영 (태림피엠앤시)
  • Published : 2003.04.01

Abstract

This study examined the temperature-dependent regression model of energy consumption based on various measuring period. The methodology employed was to construct temperature-dependent linear regression model of daily energy consumption from one day to three months data-sets and to compare the annual heating energy consumption predicted by these models with actual annual heating energy consumption. Heating energy consumption from a building in Daejon was examined experimentally. From the results, predicted value based on one day experimental data can have error over 100%. But predicted value based on one week experimental data showed error over 30%. And predicted value based on over three months experimental data provides accurate prediction within 6% but it will be required very expensive.

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References

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