Exploring household energy rules and activities during peak demand to better determine potential responsiveness to time-of-use pricing
Exploring household energy rules and activities during peak demand to better determine potential responsiveness to time-of-use pricing
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探索高峰需求期间的家庭能源规则和活动，以更好地确定对分时定价的潜在响应
DOI：
10.1016/j.enpol.2020.111608
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发表时间：
2020
期刊：
影响因子：
9
通讯作者：
Boudet, Hilary S.
中科院分区：
文献类型：
--
作者：
Stelmach, Greg;Zanocco, Chad;Flora, June;Rajagopal, Ram;Boudet, Hilary S.
使用分时 (TOU) 定价（即在高峰使用时段向消费者收取更高的费率）的成功取决于消费者的灵活性，这一假设可能不适用于所有家庭或活动。我们借鉴社会实践理论的概念来探索住宅用电的灵活性，研究管理节能的家庭规则和高峰需求时段的活动。我们对北加州一座城市的 337 个按 TOU 费率进行了调查，目的是更好地了解家庭能源规则和高峰活动；愿意转移高峰活动；以及家庭规则、转移意愿和用电量之间的关系。虽然受访者的人口统计数据和估计的每月电费（我们的使用代理）与遵循能源规则相关，但遵循规则（例如环境、货币）的动机占主导地位。对于受访者是否愿意转移高峰活动，面积、家庭成员数量和智能技术以及能源规则参与和高峰活动数量也很重要。能源规则参与也与较低的账单相关，而家庭成员数量和高峰活动则与较高的账单相关。我们的研究结果提供了有关修改高峰期间能源使用的途径的见解，以便更容易地将可再生能源并入电网。
The success of time-of-use (TOU) pricing, where consumers are charged higher rates during peak usage windows, depends on consumer flexibility—an assumption that may not be true for all households or activities. We draw on concepts from social practice theory to explore the flexibility of residential electricity consumption, examining both household rules that govern energy conservation and activities that comprise the peak demand period. Surveying 337 households in a Northern California city slated for TOU rates, our goal was to better understand household energy rules and peak activities; willingness-to-shift peak activities; and relationships between household rules, willingness-to-shift and electricity usage. While respondent demographics and estimated monthly electricity bill (our proxy for usage) were associated with following energy rules, motivations for following rules (e.g., environmental, monetary) dominated. For respondents’ willingness-to-shift peak activities, square footage, number of household members, and smart technology were important, along with energy rule participation and the number of peak activities. Energy rule participation was also associated with lower bills, while number of household members and peak activities were associated with higher bills. Our findings provide insights into pathways for modifying energy use during peak to allow for easier integration of renewables into the grid.
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