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Daily electricity consumption profiles from smart meters - Proxies of behavior for space heating and cooling

机译:智能电表的每日用电量概况-空间供暖和制冷行为的代理

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Daily electricity consumption profiles from smart meters are explored as proxies of active behavior regarding space heating and cooling. The influence of the environment air temperature (multiple maximum and minimum daily thresholds) on electricity consumption was explored for a final sample of 19 households located in southwestern. Europe (characterized by hot, dry summers and cool, wet winters), taking the full year of 2014. Statistical analysis of the deviations from hourly average electricity consumptions for each temperature thresholds was performed for each household. Firstly, these deviations could act as proxies highlighting possible lack of thermal comfort on space cooling, and partially on space heating, supported by door-to-door survey data, on socio-economic details of occupants, buildings bearing structure and equipment's ownership and use. Secondly, meaningful differences of consumers' behavior on electricity consumption pattern were identified as a response for space heating and cooling to the environment air temperatures thresholds. Additionally, statistical clusters of active and non-active behavior groups of households were assessed, showing the electricity use for space heating. This paper illustrates the importance of the widespread use of smart-meters data on the increasingly electrified buildings sector, to understand whether and how thermal comfort could be achieved through active climatization behavior of its occupants. This is particularly important in regions where automatic HVAC systems are almost absent. (C) 2017 Elsevier Ltd. All rights reserved.
机译:探索了智能电表的每日电力消耗概况,作为有关空间供暖和制冷的主动行为的代理。对位于西南部的19户家庭的最终样本,探索了环境气温(多个最大和最小每日阈值)对用电量的影响。欧洲(以炎热,干燥的夏季为特征,而凉爽,潮湿的冬季为特征),采用2014年全年的数据。对每个温度阈值的每小时平均用电量偏差进行统计分析。首先,这些偏差可能会成为代理,突出显示在空间冷却方面可能缺乏热舒适性,在部分供暖方面缺乏空间舒适性,并得到上门调查数据的支持,这些数据涉及居住者的社会经济细节,承载结构的建筑物以及设备的所有权和使用情况。其次,确定了消费者在用电量模式上行为的有意义差异,这是空间供暖和制冷对环境空气温度阈值的响应。此外,评估了家庭的活跃和不活跃行为群体的统计群集,显示了空间供暖的用电量。本文阐述了在日益电气化的建筑领域中广泛使用智能电表数据的重要性,以了解通过其乘员的积极气候行为是否以及如何实现热舒适性。在几乎没有自动HVAC系统的地区,这一点尤其重要。 (C)2017 Elsevier Ltd.保留所有权利。

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