A Study on Prediction of Power Consumption Rate for Heating and Cooling load of School Building in Changwon City

Hyo-Seok Park, Jeongmin Choi, Sung-Woo Cho
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引用次数: 1

Abstract

This study was carried out in order to establish the estimation equation for school power consumption using regression analysis based on collected power consumption for two years of weather data and schools are located in Central Changwon and Masan district in Changwon city. (1) The power consumption estimation equation for Heating and cooling is calculated using power consumption per unit volume, the difference between actual power consumption and results of estimation equations is 4.1%. (2) The power consumption estimation equation for heating load is showed 2.6% difference compared to actual power consumption in Central Changwon and is expressed 2.9% difference compared to that in Masan district. Therefore, the power consumption prediction for each school using the power consumption estimation equation is possible. (3) The power consumption estimation equation for cooling load is showed 8.0% difference compared to actual power consumption in Central Changwon and is expressed 2.9% compared to that in Masan district. As the power consumption estimation equation for cooling load is expressed difference compared to heating load, it needs to investigate influence for cooling load. 키워드 : 학교건축물, 설계난방도일, 설계냉방도일, 회귀방정식
昌原市学校建筑冷热负荷耗电量预测研究
本次研究以昌原市中部和马山地区的学校为对象,收集了2年的天气用电量资料,利用回归分析方法,建立了学校用电量估算方程。(1)冷热用电量估算方程采用单位体积耗电量计算,实际用电量与估算方程结果相差4.1%。(2)昌原中部地区热负荷耗电量估算方程与实际耗电量相差2.6%,与马山地区相差2.9%。因此,利用电耗估算方程对各学校的电耗进行预测是可能的。(3)昌原中部地区与实际用电量的差异为8.0%,与马山地区的差异为2.9%。由于冷负荷与热负荷的功耗估算方程存在差异,因此需要研究对冷负荷的影响。【翻译】:【翻译】:【翻译】:【翻译】:【翻译
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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