IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v138y2020ics0301421519308031.html
   My bibliography  Save this article

A systematic review of motivations, enablers and barriers for consumer engagement with residential demand response

Author

Listed:
  • Parrish, Bryony
  • Heptonstall, Phil
  • Gross, Rob
  • Sovacool, Benjamin K.

Abstract

Demand response is increasingly attracting policy attention. It involves changing electricity demand at different times based on grid conditions, which could help to integrate variable renewable generation and new electric loads associated with decarbonisation. Residential consumers could offer a substantial new source of demand-side flexibility. However, while there is considerable evidence that at least some residential users engage with at least some forms of demand response, there is also considerable variation in user engagement. Better understanding this variation could help to predict demand response potential, and to engage and protect consumers participating in demand response. Based on a systematic review of international demand response trials, programmes and surveys, we identify motivations for participation, and barriers and enablers to engagement including familiarity and trust, perceived risk and control, complexity and effort, and consumer characteristics and routines. We then discuss how these factors relate to the features of different demand response products and services. While the complexity of the evidence makes it difficult to draw unequivocal conclusions, the findings of this review could contribute to guide early efforts to deploy residential demand response more widely.

Suggested Citation

  • Parrish, Bryony & Heptonstall, Phil & Gross, Rob & Sovacool, Benjamin K., 2020. "A systematic review of motivations, enablers and barriers for consumer engagement with residential demand response," Energy Policy, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:enepol:v:138:y:2020:i:c:s0301421519308031
    DOI: 10.1016/j.enpol.2019.111221
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421519308031
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2019.111221?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    2. Thorsnes, Paul & Williams, John & Lawson, Rob, 2012. "Consumer responses to time varying prices for electricity," Energy Policy, Elsevier, vol. 49(C), pages 552-561.
    3. Farhar, B.C. & Maksimovic, D. & Tomac, W.A. & Coburn, T.C., 2016. "A field study of human factors and vehicle performance associated with PHEV adaptation," Energy Policy, Elsevier, vol. 93(C), pages 265-277.
    4. Bartusch, Cajsa & Wallin, Fredrik & Odlare, Monica & Vassileva, Iana & Wester, Lars, 2011. "Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception," Energy Policy, Elsevier, vol. 39(9), pages 5008-5025, September.
    5. Sorrell, Steve, 2007. "Improving the evidence base for energy policy: The role of systematic reviews," Energy Policy, Elsevier, vol. 35(3), pages 1858-1871, March.
    6. Strengers, Yolande, 2010. "Air-conditioning Australian households: The impact of dynamic peak pricing," Energy Policy, Elsevier, vol. 38(11), pages 7312-7322, November.
    7. Bradley, Peter & Coke, Alexia & Leach, Matthew, 2016. "Financial incentive approaches for reducing peak electricity demand, experience from pilot trials with a UK energy provider," Energy Policy, Elsevier, vol. 98(C), pages 108-120.
    8. Faruqui, Ahmad & George, Stephen, 2005. "Quantifying Customer Response to Dynamic Pricing," The Electricity Journal, Elsevier, vol. 18(4), pages 53-63, May.
    9. Buryk, Stephen & Mead, Doug & Mourato, Susana & Torriti, Jacopo, 2015. "Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure," Energy Policy, Elsevier, vol. 80(C), pages 190-195.
    10. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
    11. Buchanan, Kathryn & Banks, Nick & Preston, Ian & Russo, Riccardo, 2016. "The British public’s perception of the UK smart metering initiative: Threats and opportunities," Energy Policy, Elsevier, vol. 91(C), pages 87-97.
    12. Cappers, Peter & Mills, Andrew & Goldman, Charles & Wiser, Ryan & Eto, Joseph H., 2012. "An assessment of the role mass market demand response could play in contributing to the management of variable generation integration issues," Energy Policy, Elsevier, vol. 48(C), pages 420-429.
    13. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
    14. Smith, Alexander M. & Brown, Marilyn A., 2015. "Demand response: A carbon-neutral resource?," Energy, Elsevier, vol. 85(C), pages 10-22.
    15. 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.
    16. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    17. Dütschke, Elisabeth & Paetz, Alexandra-Gwyn, 2013. "Dynamic electricity pricing—Which programs do consumers prefer?," Energy Policy, Elsevier, vol. 59(C), pages 226-234.
    18. Hall, Nina L. & Jeanneret, Talia D. & Rai, Alan, 2016. "Cost-reflective electricity pricing: Consumer preferences and perceptions," Energy Policy, Elsevier, vol. 95(C), pages 62-72.
    19. Swinson, Vanessa & Hamer, Joanne & Humphries, Steven, 2015. "Taking demand management into the future: Managing flexible loads on the electricity network using smart appliances and controlled loads," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 192-203.
    20. Chassin, David P. & Kiesling, Lynne, 2008. "Decentralized Coordination through Digital Technology, Dynamic Pricing, and Customer-Driven Control: The GridWise Testbed Demonstration Project," The Electricity Journal, Elsevier, vol. 21(8), pages 51-59, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikolaos Iliopoulos & Motoharu Onuki & Miguel Esteban, 2021. "Shedding Light on the Factors That Influence Residential Demand Response in Japan," Energies, MDPI, vol. 14(10), pages 1-23, May.
    2. Dong, Jun & Jiang, Yuzheng & Liu, Dongran & Dou, Xihao & Liu, Yao & Peng, Shicheng, 2022. "Promoting dynamic pricing implementation considering policy incentives and electricity retailers’ behaviors: An evolutionary game model based on prospect theory," Energy Policy, Elsevier, vol. 167(C).
    3. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Residential consumer preferences to demand response: Analysis of different motivators to enroll in direct load control demand response," Energy Policy, Elsevier, vol. 173(C).
    4. Kowalska-Pyzalska, Anna & Maciejowska, Katarzyna & Suszczyński, Karol & Sznajd-Weron, Katarzyna & Weron, Rafał, 2014. "Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs," Energy Policy, Elsevier, vol. 72(C), pages 164-174.
    5. Sarran, Lucile & Gunay, H. Burak & O'Brien, William & Hviid, Christian A. & Rode, Carsten, 2021. "A data-driven study of thermostat overrides during demand response events," Energy Policy, Elsevier, vol. 153(C).
    6. Calver, Philippa & Simcock, Neil, 2021. "Demand response and energy justice: A critical overview of ethical risks and opportunities within digital, decentralised, and decarbonised futures," Energy Policy, Elsevier, vol. 151(C).
    7. 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.
    8. Carmichael, R. & Gross, R. & Hanna, R. & Rhodes, A. & Green, T., 2021. "The Demand Response Technology Cluster: Accelerating UK residential consumer engagement with time-of-use tariffs, electric vehicles and smart meters via digital comparison tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    9. Anna Kowalska-Pyzalska & Katarzyna Byrka, 2019. "Determinants of the Willingness to Energy Monitoring by Residential Consumers: A Case Study in the City of Wroclaw in Poland," Energies, MDPI, vol. 12(5), pages 1-20, March.
    10. Kim, Kyungah & Choi, Jihye & Lee, Jihee & Lee, Jongsu & Kim, Junghun, 2023. "Public preferences and increasing acceptance of time-varying electricity pricing for demand side management in South Korea," Energy Economics, Elsevier, vol. 119(C).
    11. Anjo, João & Neves, Diana & Silva, Carlos & Shivakumar, Abhishek & Howells, Mark, 2018. "Modeling the long-term impact of demand response in energy planning: The Portuguese electric system case study," Energy, Elsevier, vol. 165(PA), pages 456-468.
    12. Hortay, Olivér & Kökény, László, 2020. "A villamosenergia-fogyasztás elhalasztásával kapcsolatos lakossági attitűd felmérése Magyarországon [A survey of popular attitudes to deferment of electricity consumption in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 657-687.
    13. Srivastava, Aman & Van Passel, Steven & Kessels, Roselinde & Valkering, Pieter & Laes, Erik, 2020. "Reducing winter peaks in electricity consumption: A choice experiment to structure demand response programs," Energy Policy, Elsevier, vol. 137(C).
    14. Dupont, B. & De Jonghe, C. & Olmos, L. & Belmans, R., 2014. "Demand response with locational dynamic pricing to support the integration of renewables," Energy Policy, Elsevier, vol. 67(C), pages 344-354.
    15. 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.
    16. Dranka, Géremi Gilson & Ferreira, Paula, 2019. "Review and assessment of the different categories of demand response potentials," Energy, Elsevier, vol. 179(C), pages 280-294.
    17. Katz, Jonas & Andersen, Frits Møller & Morthorst, Poul Erik, 2016. "Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system," Energy, Elsevier, vol. 115(P3), pages 1602-1616.
    18. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    19. 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.
    20. Christine Milchram & Geerten Van de Kaa & Neelke Doorn & Rolf Künneke, 2018. "Moral Values as Factors for Social Acceptance of Smart Grid Technologies," Sustainability, MDPI, vol. 10(8), pages 1-23, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:138:y:2020:i:c:s0301421519308031. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.