Detailed comparison of energy-related time-use diaries and monitored residential electricity demand
Detailed comparison of energy-related time-use diaries and monitored residential electricity demand
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与能源相关的时间使用日志和监测的住宅电力需求的详细比较
DOI：
10.1016/j.enbuild.2018.11.002
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发表时间：
2019
影响因子：
6.7
通讯作者：
M. Jack
中科院分区：
文献类型：
--
作者：
K. Suomalainen;D. Eyers;R. Ford;J. Stephenson;B. Anderson;M. Jack
要理解居民部门的需求灵活性，就必须理解住户活动与由此产生的电力需求之间的因果关系。通过时间使用日记自我报告的用电量通常被用作居住者活动的直接描述符，并已被集成到住宅电力需求模拟模型中。相反，智能电表电力需求数据越来越多地用于推断居住者的活动。这两种方法的基础是一些未经证实的假设，即人们对能源使用的看法，他们报告这些活动的准确性以及电气设备的物理操作。本文对15个家庭在一周内自我报告的与能源有关的活动和监测的电力需求进行了比较，重点是电热水瓶和热泵作为具有较大需求灵活性潜力的电器。这种比较量化了自我报告的活动在多大程度上是电力需求的预测因子，反之亦然，电力需求是否可以准确地识别居住者的活动。结果表明，虽然有显着的变化在家庭之间，自我报告的活动往往是一个合理的良好的预测电力需求。然而，由于恒温器控制装置的干预，电力需求不是居住者活动的良好指标。
Understanding demand flexibility in the residential sector depends on understanding the causal link between household occupants’ activities and resulting electricity demand. Self-reported electricity use via time-use diaries is often used as a direct descriptor of occupants’ activities and has been integrated into residential electricity demand simulation models. Conversely, smart meter electricity demand data is increasingly used to infer occupants’ activities. Underlying both these approaches are a number of unverified assumptions about people’s perceptions of their energy use, the accuracy with which they report these activities and the physical operation of electrical devices. This paper carries out a comparison between self-reported energy-related activities and monitored electricity demand in 15 households over a week-long time period, with focus on electric hot water cylinders and heat pumps as appliances with large potential for demand flexibility. This comparison quantifies the extent to which self-reported activity is a predictor of electricity demand and conversely, whether electricity demand can accurately identify occupant activity. Results show that, although there is significant variation across households, self-reported activity tends to be a reasonably good predictor of electricity demand. However, due to the intervention of thermostat-controlled devices, electricity demand is not a good indicator of occupant activity.
能源供需的灵活性、活力和多样性：批判性回顾
影响因子：
6.7
作者：
Grunewald P
通讯作者：
Grunewald P
模拟住宅需求响应：改进基于活动的能源需求模型中的社会技术假设
影响因子：
3.1
作者：
McKenna E
通讯作者：
McKenna E
电池是住宅的最佳光伏耦合储能吗？
影响因子：
6.7
作者：
Parra D
通讯作者：
Parra D