Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles
Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles
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DOI：
10.1016/j.enbuild.2017.02.004
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发表时间：
2017-04-15
影响因子：
6.7
通讯作者：
Dudley, Sandra
中科院分区：
文献类型：
--
作者：
Brown, Robert;Ghavami, Navid;Dudley, Sandra
人的行为和占用占住宅建筑物能源效率变化的很大比例。然而，尽管人们经常声称他们希望减少能源账单，但由于需要努力了解和改变根深蒂固的能源消费习惯，言论往往无法与行动相匹配。在这里，我们提出，并通过专门的实验，测试内部开发的软件，以远程识别建筑物内的电器能源使用，使用能源设备，可以放置在电表位置。此外，我们通过超宽带（UWB）雷达技术监测和比较所研究的位置的占用情况，并通过时间同步将所得数据与从电力监测软件接收的数据进行比较。这些信号在被映射在一起时可以潜在地提供占用和特定电器功耗两者，这可以实现在尚不可能的规模上的能量使用隔离以及可归因于占用行为的使用。这些知识构成了根据家庭独特的能源状况实施自动节能行动的基础。(C)2017爱思唯尔B.V.保留所有权利。
Human behaviour and occupancy accounts for a substantial proportion of variation in the energy efficiency profile of domestic buildings. Yet while people often claim that they would like to reduce their energy bills, rhetoric frequently fails to match action due to the effort involved in understanding and changing deeply engrained energy consumption habits. Here, we present and, through dedicated experiments, test in-house developed software to remotely identify appliance energy usage within buildings, using energy equipment which could be placed at the electricity meter location. Furthermore, we monitor and compare the occupancy of the location under study through Ultra-Wideband (UWB) radar technology and compare the resulting data with those received from the power monitoring software, via time synchronization. These signals when mapped together can potentially provide both occupancy and specific appliances power consumption, which could enable energy usage segregation on a yet impossible scale as well as usage attributable to occupancy behaviour. Such knowledge forms the basis for the implementation of automated energy saving actions based on a households unique energy profile. (C) 2017 Elsevier B.V. All rights reserved.