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

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

Abstract

We examine the demand impact of a smart meter pilot conducted by Connexus Energy from 2008 until 2010. We focus on the amount of peak time energy use reduction, either through forgone usage or load shifting to off-peak times, as a result of enabling technologies in the form of in-home displays and smart thermostats. The in-home display allows the treatment group members to voluntarily alter their power use during “red alert” (critical peak) days. The smart thermostats also installed for the treatment group enable the utility to reduce AC usage of that group during red alert days by remotely turning up the temperature setting by 3 degrees Fahrenheit (°F) (i.e., a form of direct load control). We use hourly fixed effects models to examine peak time energy use changes in the summer of 2010. We find that treatment group members reduced their peak time energy use relative to the control group, which had no in-home displays or smart thermostats. Treatment group members who had the enabling technologies used, on average, 0.47 less kW, or 15% less energy, during peak hours on an average red alert day.

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  • Ivanov, Chris & Getachew, Lullit & Fenrick, Steve A. & Vittetoe, Bethany, 2013. "Enabling technologies and energy savings: The case of EnergyWise Smart Meter Pilot of Connexus Energy," Utilities Policy, Elsevier, vol. 26(C), pages 76-84.
    • Handle: RePEc:eee:juipol:v:26:y:2013:i:c:p:76-84
    DOI: 10.1016/j.jup.2012.10.001
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    2. Michael K. Price, 2014. "Using field experiments to address environmental externalities and resource scarcity: major lessons learned and new directions for future research," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(4), pages 621-638.
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    5. Pon, Shirley, 2015. "Effectiveness of Real Time Information Provision with Time of Use Pricing," FCN Working Papers 8/2015, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Oct 2015.
    6. He, Xian & Keyaerts, Nico & Azevedo, Isabel & Meeus, Leonardo & Hancher, Leigh & Glachant, Jean-Michel, 2013. "How to engage consumers in demand response: A contract perspective," Utilities Policy, Elsevier, vol. 27(C), pages 108-122.
    7. Batalla-Bejerano, Joan & Trujillo-Baute, Elisa & Villa-Arrieta, Manuel, 2020. "Smart meters and consumer behaviour: Insights from the empirical literature," Energy Policy, Elsevier, vol. 144(C).
    8. Lopes, Marta A.R. & Henggeler Antunes, Carlos & Janda, Kathryn B. & Peixoto, Paulo & Martins, Nelson, 2016. "The potential of energy behaviours in a smart(er) grid: Policy implications from a Portuguese exploratory study," Energy Policy, Elsevier, vol. 90(C), pages 233-245.
    9. Lomas, K.J. & Oliveira, S. & Warren, P. & Haines, V.J. & Chatterton, T. & Beizaee, A. & Prestwood, E. & Gething, B., 2018. "Do domestic heating controls save energy? A review of the evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 52-75.
    10. Andor, Mark Andreas & Bensch, Gunther & Fels, Katja M. & Kneppel, Nadine, 2017. "Meta-Analyse kausaler Effekte von verhaltensökonomischen Interventionen auf den Energieverbrauch privater Haushalte," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 177816.
    11. Humberto Verdejo & Emiliano Fucks Jara & Tomas Castillo & Cristhian Becker & Diego Vergara & Rafael Sebastian & Guillermo Guzmán & Francisco Tobar & Juan Zolezzi, 2023. "Analysis and Modeling of Residential Energy Consumption Profiles Using Device-Level Data: A Case Study of Homes Located in Santiago de Chile," Sustainability, MDPI, vol. 16(1), pages 1-32, December.
    12. Shirley Pon, 2017. "The Effect of Information on TOU Electricity Use: an Irish residential study," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    13. Strong, Derek Ryan, 2017. "The Early Diffusion of Smart Meters in the US Electric Power Industry," Thesis Commons 7zprk, Center for Open Science.
    14. Gosnell, Greer & McCoy, Daire, 2023. "Market failures and willingness to accept smart meters: Experimental evidence from the UK," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    15. Ahir, Rajesh K. & Chakraborty, Basab, 2021. "A meta-analytic approach for determining the success factors for energy conservation," Energy, Elsevier, vol. 230(C).
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    17. Schäuble, Dominik & Marian, Adela & Cremonese, Lorenzo, 2020. "Conditions for a cost-effective application of smart thermostat systems in residential buildings," Applied Energy, Elsevier, vol. 262(C).

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