A Study on Prediction of Power Consumption Rate of Middle School Building in Changwon City by Regression Analysis

Hyeong-Kyu Cho, Hyo-Seok Park, Jeongmin Choi, Sung-Woo Cho
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Abstract

As the existing school building power consumption is expressed by total power consumption, in the view of energy saving is disadvantage. The the power consumption of school building is divided as cooling, heating, lighting and others. The cooling power consumption, heating power consumption, lighting power consumption can be calculated using real total power consumption that gained from Korea Electric Power Corporation(KEPCO). The power consumption for cooling and heating can be calculated using heat transmittance, wall area and floor area, and for lighting is calculated by artificial lighting calculation. but this calculation methods is difficult for laymen. This study was carried out in order to establish the regression equation for cooling power consumption, heating power consumption, lighting power consumption and other power consumption in school building. In order to verify the validity of the regression equation, it is compared regression equation results and calculation results based on real power consumption. As the results, difference between regression result and calculation results for cooling and heating power consumption showed 0.6% and 3.6%.
基于回归分析的昌原市中学建筑用电量预测研究
由于现有学校建筑用电量是以总用电量来表示的,在节能方面存在劣势。学校建筑的用电量分为制冷、采暖、照明和其他。制冷用电量、供暖用电量、照明用电量可以根据韩国电力公司提供的实际总用电量来计算。制冷和制热用电量可采用传热率、墙面积和占地面积计算,照明用电量采用人工照明计算。但是这种计算方法对于外行人来说比较困难。本研究旨在建立学校建筑制冷用电量、供暖用电量、照明用电量及其他用电量的回归方程。为了验证回归方程的有效性,将回归方程结果与基于实际用电量的计算结果进行了比较。结果表明,回归结果与制冷和供暖耗电量计算结果的差异分别为0.6%和3.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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