A synthetic view of acceptance and engagement with smart meters in the United States
A synthetic view of acceptance and engagement with smart meters in the United States
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DOI：
10.1016/j.erss.2018.08.025
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发表时间：
2019-01-01
影响因子：
6.7
通讯作者：
Stedman, Richard
中科院分区：
文献类型：
--
作者：
Bugden, Dylan;Stedman, Richard
智能电表是现代化电网的关键基础设施特征。智能电表可以实现动态费率结构、广泛的智能家居技术、能源使用反馈以及更多地使用分布式可再生能源。然而，纳税人往往不熟悉智能电表及其好处，对智能电表持矛盾或消极的态度，并可能完全反对使用智能电表。过去的研究已经确定了许多影响接受和参与的因素。然而，这些因素是孤立地进行测试的，只能部分代表更广泛的能源技术文献。在这项研究中，我们比较了扩大范围的因素对智能电表的接受和参与的相对影响。我们使用的调查（N = 609）的业主在伊萨卡，纽约谁是即将推出的智能电表的一部分。我们发现，在其他条件不变的情况下，熟悉度和气候变化风险认知对智能电表接受度的影响最大，而智能电表接受度、年龄和收入对参与度的影响最大。我们的研究结果有两个主要影响：（1）推广和沟通应侧重于增加熟悉度，并展示智能电表产品和服务的气候效益;（2）推广和沟通不足以增加所有人群的吸收。
Smart meters are a crucial infrastructural feature of a modernizing grid. Smart meters enable dynamic rate structures, a wide range of smart home technologies, energy use feedback, and greater use of distributed renewable energy. Yet, ratepayers are often unfamiliar with smart meters and their benefits, have ambivalent or negative attitudes toward them, and may outright oppose their use. Past research has identified numerous factors that influence acceptance and engagement. However, these factors are tested in isolation and only partially representative of the broader literature on energy technologies. In this study, we compare the relative effect of an expanded range of factors on smart meter acceptance and engagement. We use a survey (N = 609) of homeowners in Ithaca, New York who are part of an upcoming smart meter rollout. We find that, ceteris paribus, familiarity and climate change risk perceptions have the greatest effect on smart meter acceptance, while smart meter acceptance, age, and income have the strongest effect on engagement. Our findings have two primary implications: (1) outreach and communication should focus on increasing familiarity and demonstrating the climate benefits of smart meter enabled products and services; and (2) that outreach and communication is insufficient to increase uptake by all segments of the population.