首页> 外文期刊>Journal of building performance simulation >Using building and occupant characteristics to predict residential residual miscellaneous electrical loads: a comparison between an asset label and an occupant-based operational model for homes in Florida
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Using building and occupant characteristics to predict residential residual miscellaneous electrical loads: a comparison between an asset label and an occupant-based operational model for homes in Florida

机译:使用建筑物和居住者特征预测住宅残余杂项电力负荷:佛罗里达州房屋的资产标签和基于居住者的运行模型之间的比较

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摘要

Over the past thirty years, the intensity of all major energy-use categories has decreased in the residential market with the exception of residual Miscellaneous Electrical Loads (MELs). MELs include primarily plug loads and some hard wired loads. The Home Energy Rating System (HERS) index is the most widely used residential energy rating system in the USA. It provides a home asset label using standardized occupant-dependent behaviour. Standardized occupant behaviour allows for the comparison of other HERS-rated homes, but may not predict actual energy consumption well. This study created the Residual Miscellaneous Electrical Load Model (RMELM) to predict the MEL by regressing an equation from a 12,000 household survey. The RMELM was then tested on 24 existing homes and compared with the MEL model of the HERS index. The RMELM more closely predicted the actual MEL in 71% of the test houses and explained 55% more of the MEL variation.
机译:在过去的三十年中,住宅市场上所有主要能源使用类别的强度都下降了,剩余的杂项电负载(MELs)除外。 MEL主要包括插头负载和一些硬接线负载。家庭能源评级系统(HERS)指数是美国使用最广泛的住宅能源评级系统。它使用标准化的依赖于乘员的行为来提供房屋资产标签。标准化的乘员行为允许对其他HERS评级的房屋进行比较,但可能无法很好地预测实际能耗。这项研究创建了残余杂项电力负荷模型(RMELM),通过对12,000个家庭调查中的方程进行回归来预测MEL。然后在24个现有房屋上测试了RMELM,并与HERS指数的MEL模型进行了比较。 RMELM更准确地预测了71%的测试室中的实际MEL,并解释了55%以上的MEL变化。

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