Enabling technologies and energy savings: The case of EnergyWise Smart Meter Pilot of Connexus Energy

Ivanov, Chris; Getachew, Lullit; Fenrick, Steve A.; Vittetoe, Bethany

doi:10.1016/j.jup.2012.10.001

Cited by 24 publications

(15 citation statements)

References 4 publications

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“…(), Ivanov et al. (), and Jessoe and Rapson () find that different technologies including smart meters and smart thermostats are associated with energy savings. Faruqui et al.…”

Section: Introductionmentioning

confidence: 99%

“…Previous research has documented that consumer responsiveness to TOU prices is impacted by different types of enabling technologies (Allcott, 2011a;Jessoe & Rapson, 2014). Gans et al (2013), Ivanov et al (2013), and Jessoe and Rapson (2014) find that different technologies including smart meters and smart thermostats are 4 A number of dynamic pricing experiments were conducted in the late 1970s and early 1980s, as a result of the energy crisis during the 1970s. Some of the conclusions of these pilot programs are summarized in Aigner (1985).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Empowering Consumers Through Data and Smart Technology: Experimental Evidence on the Consequences of Time‐of‐Use Electricity Pricing Policies

Harding¹,

Lamarche²

2016

J Policy Anal Manage

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This paper investigates the extent to which technology used to automate household responses to time‐of‐use pricing for electricity leads to higher energy savings than simply providing households with information on current prices and quantities. Using a large randomized field trial, we find that informed households with “smart” thermostats achieve impressive reductions in consumption during on‐peak periods of up to 48 percent, but also engage in substantial load shifting to off‐peak hours. We also document the extent to which household responses to time‐of‐use pricing are heterogeneous and vary significantly by demographics, weather, and across the usage distribution.

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“…(), Ivanov et al. (), and Jessoe and Rapson () find that different technologies including smart meters and smart thermostats are associated with energy savings. Faruqui et al.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Empowering Consumers Through Data and Smart Technology: Experimental Evidence on the Consequences of Time‐of‐Use Electricity Pricing Policies

Harding¹,

Lamarche²

2016

J Policy Anal Manage

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“…By combining IHDs with historic feedback, simple energy efficiency advice, or dynamic pricing even greater energy savings are reported. Similarly, the EnergyWise Smart Meter Pilot conducted by Connexus Energy reported that households provided only with IHD and smart thermostats, without any change in the pricing scheme, used on average 15% less energy in peak hours in comparison with the control households group (Ivanov et al, 2013). In contrast to simulative results reported by pilot projects where households were equipped with IHDs, the Energy Demand Research Project (Raw and Ross, 2011) showed that the web-based services providing history feedback (with a day of delay), billing information, and advice had no effect on consumption.…”

Section: Background and Related Studiesmentioning

confidence: 98%

Household valuation of smart-home functionalities in Slovenia

2015

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“…Points show daily peak demand reduction potential during a peak hour of 6 PM. reduction of cooling electricity usage during these hours [44,45]. We base the shift measure on a previous study [46], which simulates a mechanical precooling measure in a home with thermal performance typical of new construction.…”

Section: Time-sensitive Impacts Of Efficiency and Flexibility Measuresmentioning

confidence: 99%

Assessing the time-sensitive impacts of energy efficiency and flexibility in the US building sector

Satre-Meloy

Langevin

2019

Environ. Res. Lett.

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The building sector consumes 75% of US electricity, offering substantial energy, cost, and CO 2 emissions savings potential. New technologies enable buildings to flexibly manage electric loads across different times of day and season in support of a low-cost, low-carbon electric grid. Assessing the value of such technologies requires an understanding of building electric load variability at a higher temporal resolution than is demonstrated in previous studies of US building efficiency potential. We adapt Scout, an open-access model of US building energy use, to characterize sub-annual variations in baseline building electricity use, costs, and emissions at the national scale. We apply this baseline in time-sensitive analyses of the energy, cost, and CO 2 emissions savings potential of various degrees of energy efficiency and flexibility, finding that efficiency continues to have strong value in a timesensitive assessment framework while the value of flexibility depends on assumed electricity rates, measure magnitude and duration, and the amount of savings already captured by efficiency.

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Enabling technologies and energy savings: The case of EnergyWise Smart Meter Pilot of Connexus Energy

Cited by 24 publications

References 4 publications

Empowering Consumers Through Data and Smart Technology: Experimental Evidence on the Consequences of Time‐of‐Use Electricity Pricing Policies

Empowering Consumers Through Data and Smart Technology: Experimental Evidence on the Consequences of Time‐of‐Use Electricity Pricing Policies

Household valuation of smart-home functionalities in Slovenia

Assessing the time-sensitive impacts of energy efficiency and flexibility in the US building sector

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