Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland
Will Gans,
Anna Alberini and
Alberto Longo
Energy Economics, 2013, vol. 36, issue C, 729-743
Abstract:
Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with advanced meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and payment plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of 11–17%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. The advanced metering program delivers reasonably cost-effective reductions in carbon dioxide emissions, even under the most conservative usage reduction scenarios.
Keywords: Residential energy; Electricity demand; Feedback; Smart meter; Information (search for similar items in EconPapers)
JEL-codes: D8 Q40 Q41 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (81)
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Related works:
Working Paper: Smart Meter Devices and The Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland (2011) 
Working Paper: Smart Meter Devices and The Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland (2011) 
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:36:y:2013:i:c:p:729-743
DOI: 10.1016/j.eneco.2012.11.022
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