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Do I need to charge right now? Tailored choice architecture design can increase preferences for electric vehicle smart charging

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  • Lagomarsino, Maria
  • van der Kam, Mart
  • Parra, David
  • Hahnel, Ulf J.J.

Abstract

The increasing diffusion of electric vehicles (EVs) can challenge the stability of distribution grids. Smart charging systems can reduce the stress of EV charging on the grid, but the potential of the technology depends on EV drivers' participation in smart charging schemes. To investigate this potential, we conducted an online randomised-controlled experiment with two waves (baseline and experimental phase, N = 222), in which we examined drivers' preferences for smart charging and tested a behavioral intervention to increase the number of smart charging choices. We translated state-of-charge (SoC) information from percentage of battery level into miles corresponding to the battery level and tailored information, i.e., the number of driving days covered by the actual SoC based on participants’ personal driving profiles. Participants preferred to use smart charging systems to decrease costs and to increase renewable energy use. However, they tended to overestimate the importance of the battery SoC when setting charging preferences. This overestimation was especially evident for participants who only drive short distances and may be lead to inefficient use of smart charging technology. Translating battery SoC into tailored information corrected for this bias and increased the number of smart charging choices. Our findings illustrate how behavioral interventions can be leveraged to attain energy transition goals.

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  • Lagomarsino, Maria & van der Kam, Mart & Parra, David & Hahnel, Ulf J.J., 2022. "Do I need to charge right now? Tailored choice architecture design can increase preferences for electric vehicle smart charging," Energy Policy, Elsevier, vol. 162(C).
    • Handle: RePEc:eee:enepol:v:162:y:2022:i:c:s030142152200043x
    DOI: 10.1016/j.enpol.2022.112818
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    1. Hahnel, Ulf J.J. & Gölz, Sebastian & Spada, Hans, 2013. "How accurate are drivers’ predictions of their own mobility? Accounting for psychological factors in the development of intelligent charging technology for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 123-131.
    2. Gangale, Flavia & Mengolini, Anna & Onyeji, Ijeoma, 2013. "Consumer engagement: An insight from smart grid projects in Europe," Energy Policy, Elsevier, vol. 60(C), pages 621-628.
    3. Herbert Simon, 2000. "Bounded rationality in social science: Today and tomorrow," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 25-39, March.
    4. repec:cup:judgdm:v:15:y:2020:i:1:p:25-46 is not listed on IDEAS
    5. Jian, Liu & Yongqiang, Zhao & Hyoungmi, Kim, 2018. "The potential and economics of EV smart charging: A case study in Shanghai," Energy Policy, Elsevier, vol. 119(C), pages 206-214.
    6. Wolbertus, Rick & Kroesen, Maarten & van den Hoed, Robert & Chorus, Caspar, 2018. "Fully charged: An empirical study into the factors that influence connection times at EV-charging stations," Energy Policy, Elsevier, vol. 123(C), pages 1-7.
    7. Gupta, Ruchi & Pena-Bello, Alejandro & Streicher, Kai Nino & Roduner, Cattia & Farhat, Yamshid & Thöni, David & Patel, Martin Kumar & Parra, David, 2021. "Spatial analysis of distribution grid capacity and costs to enable massive deployment of PV, electric mobility and electric heating," Applied Energy, Elsevier, vol. 287(C).
    8. repec:cup:judgdm:v:15:y:2020:i:6:p:972-988 is not listed on IDEAS
    9. 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.
    10. Ulf J. J. Hahnel & Gilles Chatelain & Beatrice Conte & Valentino Piana & Tobias Brosch, 2020. "Mental accounting mechanisms in energy decision-making and behaviour," Nature Energy, Nature, vol. 5(12), pages 952-958, December.
    11. Christoph Ungemach & Adrian R. Camilleri & Eric J. Johnson & Richard P. Larrick & Elke U. Weber, 2018. "Translated Attributes as Choice Architecture: Aligning Objectives and Choices Through Decision Signposts," Management Science, INFORMS, vol. 64(5), pages 2445-2459, May.
    12. Honebein, Peter C. & Cammarano, Roy F. & Boice, Craig, 2011. "Building a Social Roadmap for the Smart Grid," The Electricity Journal, Elsevier, vol. 24(4), pages 78-85, May.
    13. Tyler Marghetis & Shahzeen Z. Attari & David Landy, 2019. "Simple interventions can correct misperceptions of home energy use," Nature Energy, Nature, vol. 4(10), pages 874-881, October.
    14. Momsen, Katharina & Stoerk, Thomas, 2014. "From intention to action: Can nudges help consumers to choose renewable energy?," Energy Policy, Elsevier, vol. 74(C), pages 376-382.
    15. Heuberger, Clara F. & Bains, Praveen K. & Mac Dowell, Niall, 2020. "The EV-olution of the power system: A spatio-temporal optimisation model to investigate the impact of electric vehicle deployment," Applied Energy, Elsevier, vol. 257(C).
    16. Sehar, Fakeha & Pipattanasomporn, Manisa & Rahman, Saifur, 2017. "Demand management to mitigate impacts of plug-in electric vehicle fast charge in buildings with renewables," Energy, Elsevier, vol. 120(C), pages 642-651.
    17. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2017. "When do you charge your electric vehicle? A stated adaptation approach," Energy Policy, Elsevier, vol. 108(C), pages 565-573.
    18. van der Kam, Mart & van Sark, Wilfried, 2015. "Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study," Applied Energy, Elsevier, vol. 152(C), pages 20-30.
    19. Bailey, Joseph & Axsen, Jonn, 2015. "Anticipating PEV buyers’ acceptance of utility controlled charging," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 29-46.
    20. Burgess, Jacquelin & Nye, Michael, 2008. "Re-materialising energy use through transparent monitoring systems," Energy Policy, Elsevier, vol. 36(12), pages 4454-4459, December.
    21. Sanchari Deb & Kari Tammi & Karuna Kalita & Pinakeshwar Mahanta, 2018. "Impact of Electric Vehicle Charging Station Load on Distribution Network," Energies, MDPI, vol. 11(1), pages 1-25, January.
    22. Pudjianto, Danny & Djapic, Predrag & Aunedi, Marko & Gan, Chin Kim & Strbac, Goran & Huang, Sikai & Infield, David, 2013. "Smart control for minimizing distribution network reinforcement cost due to electrification," Energy Policy, Elsevier, vol. 52(C), pages 76-84.
    23. Mart van der Kam & Annemijn Peters & Wilfried van Sark & Floor Alkemade, 2019. "Agent-Based Modelling of Charging Behaviour of Electric Vehicle Drivers," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(4), pages 1-7.
    24. Mario Pandelaere & Barbara Briers & Christophe Lembregts, 2011. "How to Make a 29% Increase Look Bigger: The Unit Effect in Option Comparisons," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(2), pages 308-322.
    25. Hossain, M.S. & Madlool, N.A. & Rahim, N.A. & Selvaraj, J. & Pandey, A.K. & Khan, Abdul Faheem, 2016. "Role of smart grid in renewable energy: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1168-1184.
    26. Das, H.S. & Rahman, M.M. & Li, S. & Tan, C.W., 2020. "Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    27. Beaufils, Timothé & Pineau, Pierre-Olivier, 2019. "Assessing the impact of residential load profile changes on electricity distribution utility revenues under alternative rate structures," Utilities Policy, Elsevier, vol. 61(C).
    28. Christophe Lembregts & Mario Pandelaere, 2013. "Are All Units Created Equal? The Effect of Default Units on Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(6), pages 1275-1289.
    29. Shahzeen Z. Attari, 2018. "Misperceived energy use and savings," Nature Energy, Nature, vol. 3(12), pages 1029-1030, December.
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    Cited by:

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    2. Li, Xiaohui & Wang, Zhenpo & Zhang, Lei & Sun, Fengchun & Cui, Dingsong & Hecht, Christopher & Figgener, Jan & Sauer, Dirk Uwe, 2023. "Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview," Energy, Elsevier, vol. 268(C).
    3. Winschermann, Leoni & Bañol Arias, Nataly & Hoogsteen, Gerwin & Hurink, Johann, 2023. "Assessing the value of information for electric vehicle charging strategies at office buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).

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