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Getting smarter about household energy: the who and what of demand for smart meters
Building Research & Information ( IF 3.7 ) Pub Date : 2020-08-25
Diego Castro Fettermann, Antonio Borriello, Andrea Pellegrini, Caroline G. Cavalcante, John M. Rose, Paul F. Burke

The development of policies promoting smart meter adoption is essential to guide the transition towards sustainable use of resources such as water, electricity and gas, as well as inform smart-city initiatives. This article explores household preferences in terms of different smart meters and identifies the amounts that households are willing to pay for different smart meter configurations to monitor electricity, water and gas based on the features of their home including dwelling type, size and property value. To this aim, we employ a mixed multinomial logit model that accounts for the heterogeneity in customers’ preferences for different smart meters. As a proof of concept, the proposed model is applied to a survey incorporating a discrete choice experiment carried out with 232 respondents in the Florianopolis metropolitan region, located in the south of Brazil. Our approach offers a number of advantages to facilitate the broader implementation of smart grid systems that would otherwise be overlooked using traditional approaches that rely on aggregated estimates for demand and willingness to pay for proposed schemes.



中文翻译:

更加智能化家庭能源:智能电表的需求和需求

制定促进采用智能电表的政策对于引导向水,电,气等资源的可持续利用过渡以及为智慧城市计划提供信息至关重要。本文根据不同的智能电表来探讨家庭偏好,并根据其房屋类型,大小和财产价值等特征,确定家庭愿意为不同的智能电表配置支付的金额,以监控电,水和煤气。为此,我们采用了混合多项式logit模型,该模型考虑了客户对不同智能仪表的偏好的异质性。作为概念的证明,该提议的模型适用于一项调查,该调查结合了对弗洛里亚诺波利斯都会区的232位受访者进行的离散选择实验,位于巴西南部。我们的方法具有许多优势,可以促进智能电网系统的更广泛实施,而如果使用传统方法,这些方法将依赖对需求的汇总估算和为拟议方案付费的意愿,那么传统方法将被忽略。

更新日期:2020-08-25
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