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Using smart meters to identify social and technological impacts on residential water consumption

机译:使用智能仪表识别对居民用水的社会和技术影响

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摘要

Studies have shown that householders' perceptions of their water use are often not well matched with their actual water use. There has been less research, however, investigating whether this bias is related to specific types of end use and/or specific types of socio-demographic and socio-demographic household profiles. A high resolution smart metering study producing a detailed end use event registry as well as psycho-social and socio-demographic surveys stock inventory audits and self-reported water diaries was completed for 250 households located in South-east Queensland, Australia. The study examined the contributions of end uses to total water use for each group identified as "low", "medium" or "high" water users. Analyses were conducted to examine the socio-demographics variables such as income, percentage of water efficient stock, family size and composition that characterise each self-identified water usage group. The paper concludes with a discussion of the general characteristics of groups that overestimate and underestimate their water use and how this knowledge can be used to inform demand management policy such as targeted community education programmes.
机译:研究表明,住户对用水的看法往往与他们的实际用水并不完全匹配。但是,很少有研究调查这种偏差是否与特定类型的最终用途和/或特定类型的社会人口统计学和社会人口统计学的家庭概况有关。为澳大利亚昆士兰州东南部的250户家庭完成了一项高分辨率智能计量研究,该研究产生了详细的最终使用事件注册表以及心理,社会和社会人口统计学调查存货审计和自我报告的水日记。该研究调查了最终用户对确定为“低”,“中”或“高”用水者的每个群体的总用水量的贡献。进行了分析以检查社会人口统计变量,例如收入,节水用水的百分比,家庭规模和构成每个自定义用水组的组成。本文最后讨论了高估和低估其用水量的群体的一般特征,以及如何将这些知识用于指导需求管理政策(如目标社区教育计划)。

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