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Which factors influence large households’ decision to join a time-of-use program? The interplay between demand flexibility, personal benefits and national benefits

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  • Parag, Yael

Abstract

The residential sector's electricity consumption during peak hours is significant. Reducing it would be valuable in economic and environmental terms, particularly for isolated grids and ‘electricity islands'. While time-of-use (TOU) programs could help moderate this demand, in many countries such programs are voluntary, with low enrollment rates. An experimental survey design was used to test the impact of four framings of a residential TOU program on the stated willingness of 452 large Israeli households (four or more people) to enroll in a TOU program. Two of the framings emphasized the economic benefits of the program, and offered 25% and 50% off-peak discount rates. The other two framings highlighted environmental benefits and national energy independence (in addition to the discount). The impact of socio-demographic variables, demand flexibility, convenience, environmental awareness and interest in automation were also evaluated. While no framing effect was found, a hierarchical regression model (R2 = 66%) revealed that the strongest predictor of interest in enrollment is the perception that the TOU program will contribute to the environment and to the county's energy independence, followed by the potential economic benefits to the household and flexibility of demand. None of the socio-demographic variables was a predictor. The results suggest that highlighting national benefits might be more effective than highlighting household benefits in fostering enrollment in TOU programs.

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  • Parag, Yael, 2021. "Which factors influence large households’ decision to join a time-of-use program? The interplay between demand flexibility, personal benefits and national benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:rensus:v:139:y:2021:i:c:s1364032120308789
    DOI: 10.1016/j.rser.2020.110594
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    References listed on IDEAS

    as
    1. Amrollahi, Mohammad Hossein & Bathaee, Seyyed Mohammad Taghi, 2017. "Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response," Applied Energy, Elsevier, vol. 202(C), pages 66-77.
    2. Li, Pei-Hao & Pye, Steve, 2018. "Assessing the benefits of demand-side flexibility in residential and transport sectors from an integrated energy systems perspective," Applied Energy, Elsevier, vol. 228(C), pages 965-979.
    3. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    4. Belton, Cameron A. & Lunn, Peter D., 2020. "Smart choices? An experimental study of smart meters and time-of-use tariffs in Ireland," Energy Policy, Elsevier, vol. 140(C).
    5. Huebner, Gesche & Shipworth, David & Hamilton, Ian & Chalabi, Zaid & Oreszczyn, Tadj, 2016. "Understanding electricity consumption: A comparative contribution of building factors, socio-demographics, appliances, behaviours and attitudes," Applied Energy, Elsevier, vol. 177(C), pages 692-702.
    6. Notton, G. & Duchaud, J.L. & Nivet, M.L. & Voyant, C. & Chalvatzis, K. & Fouilloy, A., 2019. "The electrical energy situation of French islands and focus on the Corsican situation," Renewable Energy, Elsevier, vol. 135(C), pages 1157-1165.
    7. Weber, Christoph & Perrels, Adriaan, 2000. "Modelling lifestyle effects on energy demand and related emissions," Energy Policy, Elsevier, vol. 28(8), pages 549-566, July.
    8. Yilmaz, S. & Weber, S. & Patel, M.K., 2019. "Who is sensitive to DSM? Understanding the determinants of the shape of electricity load curves and demand shifting: Socio-demographic characteristics, appliance use and attitudes," Energy Policy, Elsevier, vol. 133(C).
    9. Dütschke, Elisabeth & Paetz, Alexandra-Gwyn, 2013. "Dynamic electricity pricing—Which programs do consumers prefer?," Energy Policy, Elsevier, vol. 59(C), pages 226-234.
    10. Philip Hemmings, 2011. "Addressing Challenges in the Energy Sector in Israel," OECD Economics Department Working Papers 914, OECD Publishing.
    11. Stelmach, Greg & Zanocco, Chad & Flora, June & Rajagopal, Ram & Boudet, Hilary S., 2020. "Exploring household energy rules and activities during peak demand to better determine potential responsiveness to time-of-use pricing," Energy Policy, Elsevier, vol. 144(C).
    12. Carreiro, Andreia M. & Jorge, Humberto M. & Antunes, Carlos Henggeler, 2017. "Energy management systems aggregators: A literature survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1160-1172.
    13. Jones, Rory V. & Fuertes, Alba & Lomas, Kevin J., 2015. "The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 901-917.
    14. Neves, Diana & Pina, André & Silva, Carlos A., 2018. "Assessment of the potential use of demand response in DHW systems on isolated microgrids," Renewable Energy, Elsevier, vol. 115(C), pages 989-998.
    15. Matthew Harding & Steven Sexton, 2017. "Household Response to Time-Varying Electricity Prices," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 337-359, October.
    16. Yang, Liu & Dong, Ciwei & Wan, C.L. Johnny & Ng, Chi To, 2013. "Electricity time-of-use tariff with consumer behavior consideration," International Journal of Production Economics, Elsevier, vol. 146(2), pages 402-410.
    17. Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Demand response in smart electricity grids equipped with renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 64-72.
    18. Nicolson, Moira L. & Fell, Michael J. & Huebner, Gesche M., 2018. "Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 276-289.
    19. Khan, Ahsan Raza & Mahmood, Anzar & Safdar, Awais & Khan, Zafar A. & Khan, Naveed Ahmed, 2016. "Load forecasting, dynamic pricing and DSM in smart grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1311-1322.
    20. Darby, Sarah J. & McKenna, Eoghan, 2012. "Social implications of residential demand response in cool temperate climates," Energy Policy, Elsevier, vol. 49(C), pages 759-769.
    21. Yael Parag & Stuart Capstick & Wouter Poortinga, 2011. "Policy attribute framing: A comparison between three policy instruments for personal emissions reduction," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 30(4), pages 889-905, September.
    22. Hu, Zheng & Kim, Jin-ho & Wang, Jianhui & Byrne, John, 2015. "Review of dynamic pricing programs in the U.S. and Europe: Status quo and policy recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 743-751.
    23. Söder, Lennart & Lund, Peter D. & Koduvere, Hardi & Bolkesjø, Torjus Folsland & Rossebø, Geir Høyvik & Rosenlund-Soysal, Emilie & Skytte, Klaus & Katz, Jonas & Blumberga, Dagnija, 2018. "A review of demand side flexibility potential in Northern Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 654-664.
    24. Katrina Jessoe & David Rapson, 2015. "Commercial and Industrial Demand Response Under Mandatory Time-of-Use Electricity Pricing," Journal of Industrial Economics, Wiley Blackwell, vol. 63(3), pages 397-421, September.
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    1. Dana Abi Ghanem & Tracey Crosbie, 2021. "The Transition to Clean Energy: Are People Living in Island Communities Ready for Smart Grids and Demand Response?," Energies, MDPI, vol. 14(19), pages 1-26, September.

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