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CHARACTERIZING THE EFFECTS OF WEATHER ON COMMERCIAL BUILDING ENERGY USE

机译:表征天气对商业建筑能源使用的影响

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Energy service companies, whose returns are a function of energy savings, have developed energynormalization methods, based on degree-day measures of weather variation. True tests to determine the adequacy of these methods, however, require careful control of other determinants of building energy use. This paper uses a building energy simulation model to evaluate one of these methods for a large office building in Madison, WI using twelve years of actual weather data.rnTechniques for accounting for the effects of weather on building energy use based on degree-days are reviewed. A three parameter model, consisting of an intercept, slope, and variable base temperature degree-day terms, is evaluated with simulations. Parameter estimates energy use were found to be sensitive to the year of data selected to develop the parameter. The resulting annual estimates of energy use tended to exceed DOE-2 predictions by up to ten percent.
机译:能源服务公司的回报是节约能源的函数,它们已经基于天气变化的程度日度量开发了能源标准化方法。但是,确定这些方法是否适当的真实测试要求仔细控制建筑能耗的其他决定因素。本文使用建筑能耗模拟模型,使用十二年的实际天气数据来评估威斯康星州麦迪逊市的大型办公楼中的一种方法。rn回顾了基于度数天数的天气对建筑能耗的影响会计技术。通过仿真评估了由截距,斜率和可变的基础温度度-天项组成的三个参数模型。发现参数估计的能源使用对选择用于开发参数的数据年份敏感。由此产生的年度能源使用估算往往比DOE-2预测高出多达百分之十。

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