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Intrinsic motivation to promote the development of renewable energy: a field experiment from household demand

Author

Listed:
  • Adélaïde Fadhuile
  • Daniel Llerena
  • Béatrice Roussillon

Abstract

A demand response program is a promising tool to increase the share of intermittent renewable energy in the electricity production mix. It requires that households adapt their energy consumption to the level of energy production in order to balance the grid, i.e., decrease (increase) their consumption during peak load (peak energy production) event. However, energy conservation efforts suffer from many cognitive biases that impede the optimization of electricity consumption and thus demand flexibility. This article presents a randomized field experiment aimed at introducing demand response with nonmonetary incentives coupled by a set of nudges addressing these cognitive biases. Our results are very encouraging, as demand was successfully decreased by 21% during the peak load event and increased by 17% during the peak energy production event. Our tested nudges are cheap, easy to implement and provide interesting results in demand management programs.

Suggested Citation

  • Adélaïde Fadhuile & Daniel Llerena & Béatrice Roussillon, 2023. "Intrinsic motivation to promote the development of renewable energy: a field experiment from household demand," Working Papers 2023-01, Grenoble Applied Economics Laboratory (GAEL).
  • Handle: RePEc:gbl:wpaper:2023-01
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    References listed on IDEAS

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    1. James I. Stewart, 2020. "Utility Customer Supply of Demand Response Capacity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 129-152.
    2. Christophe Charlier & Gilles Guerassimoff & Ankinée Kirakozian & Sandrine Selosse, 2021. "Under Pressure! Nudging Electricity Consumption within Firms. Feedback from a Field Experiment," The Energy Journal, , vol. 42(1), pages 129-154, January.
    3. Azarova, Valeriya & Cohen, Jed J. & Kollmann, Andrea & Reichl, Johannes, 2020. "Reducing household electricity consumption during evening peak demand times: Evidence from a field experiment," Energy Policy, Elsevier, vol. 144(C).
    4. Penelope Buckley, 2020. "Prices, information and nudges for residential electricity conservation : A meta-analysis," Post-Print hal-02500507, HAL.
    5. Loewenstein, George & Chater, Nick, 2017. "Putting nudges in perspective," Behavioural Public Policy, Cambridge University Press, vol. 1(1), pages 26-53, May.
    6. O'Donoghue, Ted & Rabin, Matthew, 1997. "Doing It Now or Later," Department of Economics, Working Paper Series qt7t44m5b0, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    7. Jean Tirole & Roland Bénabou, 2006. "Incentives and Prosocial Behavior," American Economic Review, American Economic Association, vol. 96(5), pages 1652-1678, December.
    8. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    9. Stefano DellaVigna & Elizabeth Linos, 2022. "RCTs to Scale: Comprehensive Evidence From Two Nudge Units," Econometrica, Econometric Society, vol. 90(1), pages 81-116, January.
    10. Verena Tiefenbeck & Anselma Wörner & Samuel Schöb & Elgar Fleisch & Thorsten Staake, 2019. "Publisher Correction: Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives," Nature Energy, Nature, vol. 4(10), pages 891-891, October.
    11. Carroll, James & Lyons, Seán & Denny, Eleanor, 2014. "Reducing household electricity demand through smart metering: The role of improved information about energy saving," Energy Economics, Elsevier, vol. 45(C), pages 234-243.
    12. Asensio, Omar Isaac & Delmas, Magali A., 2016. "The dynamics of behavior change: Evidence from energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 196-212.
    13. Eric Cardella, Bradley T. Ewing, and Ryan B. Williams, 2022. "Green is Good-The Impact of Information Nudges on the Selection of Voluntary Green-Power Plans," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    14. Katrina Jessoe & David Rapson, 2014. "Knowledge Is (Less) Power: Experimental Evidence from Residential Energy Use," American Economic Review, American Economic Association, vol. 104(4), pages 1417-1438, April.
    15. David P. Byrne, Andrea La Nauze, and Leslie A. Martin, 2021. "An Experimental Study of Monthly Electricity Demand (In)elasticity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 205-222.
    16. Ruokamo, Enni & Meriläinen, Teemu & Karhinen, Santtu & Räihä, Jouni & Suur-Uski, Päivi & Timonen, Leila & Svento, Rauli, 2022. "The effect of information nudges on energy saving: Observations from a randomized field experiment in Finland," Energy Policy, Elsevier, vol. 161(C).
    17. Verena Tiefenbeck & Anselma Wörner & Samuel Schöb & Elgar Fleisch & Thorsten Staake, 2019. "Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives," Nature Energy, Nature, vol. 4(1), pages 35-41, January.
    18. Alessandro Tarozzi & Aprajit Mahajan & Brian Blackburn & Dan Kopf & Lakshmi Krishnan & Joanne Yoong, 2014. "Micro-loans, Insecticide-Treated Bednets, and Malaria: Evidence from a Randomized Controlled Trial in Orissa, India," American Economic Review, American Economic Association, vol. 104(7), pages 1909-1941, July.
    19. van Houwelingen, Jeannet H & van Raaij, W Fred, 1989. "The Effect of Goal-Setting and Daily Electronic Feedback on In-home Energy Use," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(1), pages 98-105, June.
    20. Hargreaves, Tom & Nye, Michael & Burgess, Jacquelin, 2010. "Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors," Energy Policy, Elsevier, vol. 38(10), pages 6111-6119, October.
    21. Andreoni, James, 1989. "Giving with Impure Altruism: Applications to Charity and Ricardian Equivalence," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1447-1458, December.
    22. Azarova, Valeriya & Cohen, Jed J. & Kollmann, Andrea & Reichl, Johannes, 2020. "Reducing household electricity consumption during evening peak demand times: Evidence from a field experiment," Munich Reprints in Economics 84731, University of Munich, Department of Economics.
    23. Sebastien Houde, Annika Todd, Anant Sudarshan, June A. Flora , and K. Carrie Armel, 2013. "Real-time Feedback and Electricity Consumption: A Field Experiment Assessing the Potential for Savings and Persistence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    24. Andor, Mark A. & Fels, Katja M., 2018. "Behavioral Economics and Energy Conservation – A Systematic Review of Non-price Interventions and Their Causal Effects," Ecological Economics, Elsevier, vol. 148(C), pages 178-210.
    25. Buckley, Penelope, 2020. "Prices, information and nudges for residential electricity conservation: A meta-analysis," Ecological Economics, Elsevier, vol. 172(C).
    26. Schubert, Christian, 2017. "Green nudges: Do they work? Are they ethical?," Ecological Economics, Elsevier, vol. 132(C), pages 329-342.
    27. Koichiro Ito & Takanori Ida & Makoto Tanaka, 2018. "Moral Suasion and Economic Incentives: Field Experimental Evidence from Energy Demand," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 240-267, February.
    28. Al-Ubaydli, Omar & Lee, Min Sok & List, John A. & Mackevicius, Claire L. & Suskind, Dana, 2021. "A rejoinder: ‘How can experiments play a greater role in public policy? Twelve proposals from an economic model of scaling’," Behavioural Public Policy, Cambridge University Press, vol. 5(1), pages 125-134, January.
    29. Al-Ubaydli, Omar & Lee, Min Sok & List, John A. & Mackevicius, Claire L. & Suskind, Dana, 2021. "How can experiments play a greater role in public policy? Twelve proposals from an economic model of scaling," Behavioural Public Policy, Cambridge University Press, vol. 5(1), pages 2-49, January.
    30. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
    31. Verena Tiefenbeck & Anselma Wörner & Samuel Schöb & Elgar Fleisch & Thorsten Staake, 2019. "Publisher Correction: Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives," Nature Energy, Nature, vol. 4(4), pages 346-346, April.
    32. Jesse Burkhardt & Kenneth Gillingham & Praveen K. Kopalle, 2019. "Experimental Evidence on the Effect of Information and Pricing on Residential Electricity Consumption," NBER Working Papers 25576, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Flexibility; Randomized Field Experiment; Energy Conservation; Nudges;
    All these keywords.

    JEL classification:

    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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