Methodology for characterising domestic electrical demand by usage categories
Methodology for characterising domestic electrical demand by usage categories
复制标题
按用途类别描述国内电力需求的方法
DOI：
10.1016/j.apenergy.2010.08.002
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发表时间：
2011
期刊：
影响因子：
11.2
通讯作者：
D. Jenkins
中科院分区：
文献类型：
--
作者：
Richard Kilpatrick;P. Banfill;D. Jenkins
联合王国的电力消费持续增长，国内部门的需求是消费增长的潜在/主要贡献。虽然需求在增加，但关于造成国内能源消费增加的国内组成部分的资料很少。因此，更好地了解是什么导致了家庭能源使用量的增加，是了解如何在未来减少能源使用量的先决条件，或者如果不能减少，则将其控制在目前的水平。本文讨论了一个分离过滤器，设计用于将家庭电力需求数据分解为不同的电器类别。该过滤器被应用到一个真实的时间国内电气数据集跨越1年，并确定在待机，冷，加热元件尖峰和剩余需求的趋势。几个原因来解释每一个趋势进行了讨论。此外，滤波器被应用于合成数据，以确认分离滤波器的准确性，并为将来的应用精细地调整滤波器。结果表明，在冬季的几个月里，与居住相关的需求消费增加，在夏季的几个月里，冷消费增加。此外，研究结果表明，在与占用相关的需求和冷消耗观察到的变化，有一个小的变化，在待机和加热元件尖峰消费全年。最后，将定制的分离过滤器到国内智能电表的潜在优势进行了讨论。
Electricity consumption in the United Kingdom is continually growing with demand from the domestic sector a potential/major contribution to this increase in consumption. Although demand is increasing, little information exists on the domestic components that contribute to an increase in domestic energy consumption. Thus, a greater understanding on what is contributing to the increase in domestic energy usage is a pre-requisite to understand how it can be reduced in the future or, if not reduced, contained at its current level. This article discusses a separation filter designed for disaggregating domestic electrical demand data into different appliance categories. The filter is applied to a real time domestic electrical dataset spanning 1year, and trends in standby, cold, heating element spikes and residual demand are identified. Several reasons to account for each of the trends are discussed. Additionally, the filter is applied to synthetic data both to confirm the accuracy of the separation filter and to finely adjust the filter for future application. The results indicate an increase in occupancy-related demand consumption during the winter months and an increase in cold consumption during the summer months. Furthermore, the results demonstrate that in contrast to changes observed in occupancy-related demand and cold consumption, there is little variation in standby and heating element spike consumption throughout the year. Finally, the potential advantage of incorporating a tailored separation filter into domestic smart meters is discussed.