IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v42y2021i1p261-284.html
   My bibliography  Save this article

Peak Load Habits for Sale? Soft Load Control and Consumer Preferences on the Electricity Market

Author

Listed:
  • Thomas Broberg
  • Runar Brannlund
  • Lars Perssona

Abstract

The main purpose of this paper is to estimate lost consumer values due to various restrictions on household electricity use involving behavior adaptation. To do this, we conduct a choice experiment where households choose between hypothetical electricity contracts including various restrictions on the use of high-power household appliances. In addition, we use a contingent valuation question related to complete blackouts to study a restriction on other types of electricity usage (heating, lighting, TV, etc.). The results indicate a significant difference between the value lost due to the soft control, and the blackouts. Furthermore, policies aiming at stimulating behavioral changes are costly and it is far from obvious that demand response requiring behavioral adaptation is more cost effective than supply response (i.e., increased production of electricity).

Suggested Citation

  • Thomas Broberg & Runar Brannlund & Lars Perssona, 2021. "Peak Load Habits for Sale? Soft Load Control and Consumer Preferences on the Electricity Market," The Energy Journal, , vol. 42(1), pages 261-284, January.
    • Handle: RePEc:sae:enejou:v:42:y:2021:i:1:p:261-284
    DOI: 10.5547/01956574.42.1.tbro
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.42.1.tbro
    Download Restriction: no
    File URL: https://libkey.io/10.5547/01956574.42.1.tbro?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
    ---><---

    References listed on IDEAS

    as
    1. Richter, Laura-Lucia & Pollitt, Michael G., 2018. "Which smart electricity service contracts will consumers accept? The demand for compensation in a platform market," Energy Economics, Elsevier, vol. 72(C), pages 436-450.
    2. Broberg, Thomas & Brännlund, Runar, 2008. "An alternative interpretation of multiple bounded WTP data--Certainty dependent payment card intervals," Resource and Energy Economics, Elsevier, vol. 30(4), pages 555-567, December.
    3. Carlsson, Fredrik & Martinsson, Peter & Akay, Alpaslan, 2011. "The effect of power outages and cheap talk on willingness to pay to reduce outages," Energy Economics, Elsevier, vol. 33(5), pages 790-798, September.
    4. Richard C. Ready & Patricia A. Champ & Jennifer L. Lawton, 2010. "Using Respondent Uncertainty to Mitigate Hypothetical Bias in a Stated Choice Experiment," Land Economics, University of Wisconsin Press, vol. 86(2), pages 363-381.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brown, David P. & Muehlenbachs, Lucija, 2024. "The value of electricity reliability: Evidence from battery adoption," Journal of Public Economics, Elsevier, vol. 239(C).
    2. Kim, Seon-Yong & Kim, Man-Keun & Choi, Myung Hwan & Kim, Dae-Wook, 2024. "Optimal preventive maintenance: Balancing reliability and costs in the electricity market," Energy Policy, Elsevier, vol. 194(C).

    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. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    2. Fang, Debin & Wang, Pengyu, 2023. "Optimal real-time pricing and electricity package by retail electric providers based on social learning," Energy Economics, Elsevier, vol. 117(C).
    3. Ewa Zawojska & Pierre-Alexandre Mahieu & Romain Crastes & Jordan Louviere, 2016. "On a way to overcome strategic overbidding in open-ended stated preference surveys: A recoding approach," Working Papers 2016-34, Faculty of Economic Sciences, University of Warsaw.
    4. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    5. Carlsson, Fredrik & Demeke, Eyoual & Martinsson, Peter & Tesemma, Tewodros, 2020. "Cost of power outages for manufacturing firms in Ethiopia: A stated preference study," Energy Economics, Elsevier, vol. 88(C).
    6. John C. Whitehead & Alicia Louis Cornicelli & Gregory Howard, 2024. "Total Economic Valuation of Great Lakes Recreational Fisheries: Attribute Non-attendance, Hypothetical Bias and Insensitivity to Scope," Working Papers 24-10, Department of Economics, Appalachian State University.
    7. Lan Anh Nguyen & Manh-Hung Nguyen & Viet-Ngu Hoang & Arnaud Reynaud & Michel Simioni & Clevo Wilson, 2024. "Tourists’ preferences and willingness to pay for protecting a World Heritage site from coastal erosion in Vietnam," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27607-27628, November.
    8. Ganesh Iyer & Vivek Nandur & David Soberman, 2022. "Vaccine hesitancy and monetary incentives," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    9. Cédric Clastres & Olivier Rebenaque & Patrick Jochem, 2020. "Provision of Demand Response from the prosumers in multiple markets," Working Papers 2008, Chaire Economie du climat.
    10. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    11. Goedele Van den Broeck & Kaat Van Hoyweghen & Miet Maertens, 2016. "Employment Conditions in the Senegalese Horticultural Export Industry: A Worker Perspective," Development Policy Review, Overseas Development Institute, vol. 34(2), pages 301-319, March.
    12. Mubashir Qasim & Koji Kotani, 2014. "An empirical analysis of energy shortage in Pakistan," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 21(1), pages 137-166, June.
    13. Penelope Buckley, 2020. "Prices, information and nudges for residential electricity conservation : A meta-analysis," Post-Print hal-02500507, HAL.
    14. Clastres, Cédric & Khalfallah, Haikel, 2021. "Dynamic pricing efficiency with strategic retailers and consumers: An analytical analysis of short-term market interactions," Energy Economics, Elsevier, vol. 98(C).
    15. Elie Bouri & Joseph El Assad, 2016. "The Lebanese Electricity Woes: An Estimation of the Economical Costs of Power Interruptions," Energies, MDPI, vol. 9(8), pages 1-12, July.
    16. Woo, C.K. & Ho, T. & Shiu, A. & Cheng, Y.S. & Horowitz, I. & Wang, J., 2014. "Residential outage cost estimation: Hong Kong," Energy Policy, Elsevier, vol. 72(C), pages 204-210.
    17. Lee, Hwarang & Koo, Yoonmo, 2024. "Analysis of user acceptance of information and communications technology for electrical safety inspection based on a choice experiment and hierarchical Bayesian model," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    18. Carola Braun & Katrin Rehdanz & Ulrich Schmidt, 2016. "Validity of Willingness to Pay Measures under Preference Uncertainty," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-17, April.
    19. Apurba Shee & Calum G. Turvey & Ana Marr, 2021. "Heterogeneous Demand and Supply for an Insurance‐linked Credit Product in Kenya: A Stated Choice Experiment Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 244-267, February.
    20. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2018. "Who will be smart home users? An analysis of adoption and diffusion of smart homes," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 246-253.

    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:sae:enejou:v:42:y:2021:i:1:p:261-284. 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: SAGE Publications (email available below). General contact details of provider: .

    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.