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Robustness of energy consumption and comfort in high-performance residential building with respect to occupant behavior

机译:就居住者行为而言,高性能住宅建筑物的能耗稳定性和舒适性

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摘要

Building energy simulations rely on assumptions that can affect their reliability. Occupant behavior in particular is highly uncertain, especially for residential buildings. The great variability of occupants' actions has a great impact on the energy performance of a building and can explain the failures of building simulations to accurately forecast the energy demand of a building. This study quantifies the impacts of humans on the performance of a residential building by simulating dwellings using multiple realistic occupant behavior profiles. The dwelling models were validated with monitored data. Aspects of occupant behavior covered in this study are occupancy, hot water and electricity consumption, heating set point temperature and openings of windows. The individual impact of all these aspects on energy demand and thermal comfort are analysed. Results show great variability of energy consumption and thermal comfort for a given dwelling when different occupants are living in it, with coefficient of variation of approximately 50%. Large housing stocks are less sensitive to occupant behavior than individual dwellings, but their consumption levels remain difficult to predict when using a deterministic approach to represent occupant behavior. (C) 2019 Elsevier Ltd. All rights reserved.
机译:建筑能耗模拟依赖于可能影响其可靠性的假设。乘员的行为尤其不确定,尤其是对于住宅建筑物。居住者行为的巨大变化对建筑物的能源性能有很大影响,并且可以解释建筑物模拟无法准确预测建筑物的能源需求的失败。这项研究通过使用多种现实的乘员行为特征模拟住宅来量化人类对住宅建筑物性能的影响。住宅模型已通过监控数据进行了验证。这项研究涵盖的乘员行为方面包括乘员,热水和电力消耗,加热设定点温度和窗户的开度。分析了所有这些方面对能量需求和热舒适性的个体影响。结果显示,当居住在不同居住区时,给定住宅的能耗和热舒适性差异很大,其变异系数约为50%。大型住房存量对居民行为的敏感性不如单个住房,但当使用确定性方法来代表居民行为时,其消费水平仍然难以预测。 (C)2019 Elsevier Ltd.保留所有权利。

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