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

조성환 (한국에너지기술연구원 건물에너지연구센터)
태춘섭 (한국에너지기술연구원 건물에너지연구센터)
김진호 (한국에너지기술연구원 건물에너지연구센터)
방기영 (태림피엠앤시)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.15, no.4, 2003 , pp. 287-293 More about this Journal
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.
Keywords
Heating energy consumption; Regression analysis; Heating energy Prediction; Measuring Period; Daily average outdoor temperature;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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