IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v367y2024ics0306261924007189.html
   My bibliography  Save this article

Residents' willingness to be compensated for power rationing during peak hours based on choice experiment

Author

Listed:
  • Xu, Shuling
  • Yang, Zihan
  • Deng, Nana
  • Wang, Bo

Abstract

There is growing interest in demand-side interventions aimed at reducing residential peak-hour electricity consumption in response to energy transition. However, limited knowledge exists regarding residents' willingness to accept compensation (WTC) for power rationing during peak hours. This study empirically evaluates the compensation standards based on residents' willingness to accept power rationing in peak hours based on the Choice Experiment (CE). The results indicate that residents are concerned most with the attributes of power rationing seasons and power rationing periods, requiring higher compensation for power rationing in summer and at night, whether on weekdays or non-weekdays. Further analysis reveals significant regional and group heterogeneity. Specifically, residents in northern regions are not significantly concerned about the power rationing durations compared to those in southern regions, while they are more on power rationing degrees. Analysis based on the Latent Class Analysis (LCA) model shows that two classes of residents are willing to participate in the power rationing agreement for free on both weekdays and non-weekdays, as well as two categories of residents unwilling to participate in the compensated power rationing on non-weekdays. Based on this, we estimate that the adjusted participation rate of residents in compensated power rationing is 96.59% on weekdays, with compensation ranges from 0.67 ¥/kWh to 13.38 ¥/kWh, and a participation rate of 69.69% on non-weekdays, with compensation levels ranging from 3.99 ¥/kWh to 15.34 ¥/kWh. This paper also assesses the costs of power rationing compensation to provide evidence for policymakers when determining the compensation level of the power rationing program.

Suggested Citation

  • Xu, Shuling & Yang, Zihan & Deng, Nana & Wang, Bo, 2024. "Residents' willingness to be compensated for power rationing during peak hours based on choice experiment," Applied Energy, Elsevier, vol. 367(C).
  • Handle: RePEc:eee:appene:v:367:y:2024:i:c:s0306261924007189
    DOI: 10.1016/j.apenergy.2024.123335
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924007189
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.123335?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. Zemo, Kahsay Haile & Kassahun, Habtamu Tilahun & Olsen, Søren Bøye, 2019. "Determinants of willingness-to-pay for attributes of power outage - An empirical discrete choice experiment addressing implications for fuel switching in developing countries," Energy, Elsevier, vol. 174(C), pages 206-215.
    2. Chen, Hao & Jin, Lu & Wang, Mingming & Guo, Lin & Wu, Jingwen, 2023. "How will power outages affect the national economic growth: Evidence from 152 countries," Energy Economics, Elsevier, vol. 126(C).
    3. 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).
    4. Yilmaz, Selin & Xu, Xiaojing & Cabrera, Daniel & Chanez, Cédric & Cuony, Peter & Patel, Martin K., 2020. "Analysis of demand-side response preferences regarding electricity tariffs and direct load control: Key findings from a Swiss survey," Energy, Elsevier, vol. 212(C).
    5. de Nooij, Michiel & Lieshout, Rogier & Koopmans, Carl, 2009. "Optimal blackouts: Empirical results on reducing the social cost of electricity outages through efficient regional rationing," Energy Economics, Elsevier, vol. 31(3), pages 342-347, May.
    6. Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
    7. Aweke, Abinet Tilahun & Navrud, Ståle, 2022. "Valuing energy poverty costs: Household welfare loss from electricity blackouts in developing countries," Energy Economics, Elsevier, vol. 109(C).
    8. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    9. Wang, Xia & Fang, Yuan & Cai, Weiguang & Ding, Chao & Xie, Yupei, 2022. "Heating demand with heterogeneity in residential households in the hot summer and cold winter climate zone in China -A quantile regression approach," Energy, Elsevier, vol. 247(C).
    10. Oyama, Yuki, 2024. "Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of visually perceived attributes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    11. Deutschmann, Joshua W. & Postepska, Agnieszka & Sarr, Leopold, 2021. "Measuring willingness to pay for reliable electricity: Evidence from Senegal," World Development, Elsevier, vol. 138(C).
    12. Matto Mildenberger & Peter D. Howe & Samuel Trachtman & Leah C. Stokes & Mark Lubell, 2022. "The effect of public safety power shut-offs on climate change attitudes and behavioural intentions," Nature Energy, Nature, vol. 7(8), pages 736-743, August.
    13. Wolf, André & Wenzel, Lars, 2015. "Welfare implications of power rationing: An application to Germany," Energy, Elsevier, vol. 84(C), pages 53-62.
    14. Srivastava, A. & Van Passel, S. & Valkering, P. & Laes, E.J.W., 2021. "Power outages and bill savings: A choice experiment on residential demand response acceptability in Delhi," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    15. Motz, Alessandra, 2021. "Security of supply and the energy transition: The households' perspective investigated through a discrete choice model with latent classes," Energy Economics, Elsevier, vol. 97(C).
    16. Broberg, Thomas & Persson, Lars, 2016. "Is our everyday comfort for sale? Preferences for demand management on the electricity market," Energy Economics, Elsevier, vol. 54(C), pages 24-32.
    17. Bigerna, Simona & Choudhary, Piyush & Jain, Nikunj Kumar & Micheli, Silvia & Polinori, Paolo, 2024. "An empirical investigation of the Indian households’ willingness to pay to avoid power outages," Energy Policy, Elsevier, vol. 184(C).
    18. Baarsma, Barbara E. & Hop, J. Peter, 2009. "Pricing power outages in the Netherlands," Energy, Elsevier, vol. 34(9), pages 1378-1386.
    19. Harold, Jason & Bertsch, Valentin & Fell, Harrison, 2021. "Preferences for curtailable electricity contracts: Can curtailment benefit consumers and the electricity system?," Energy Economics, Elsevier, vol. 102(C).
    20. Morton, Craig & Wilson, Charlie & Anable, Jillian, 2018. "The diffusion of domestic energy efficiency policies: A spatial perspective," Energy Policy, Elsevier, vol. 114(C), pages 77-88.
    21. Lambert, Dayton M. & Ripberger, Joseph T. & Jenkins-Smith, Hank & Silva, Carol L. & Bowman, Warigia & Long, Michael A. & Gupta, Kuhika & Fox, Andrew, 2024. "Consumer willingness-to-pay for a resilient electrical grid," Energy Economics, Elsevier, vol. 131(C).
    22. Aruga, Kentaka & Bolt, Timothy & Pest, Przemysław, 2021. "Energy policy trade-offs in Poland: A best-worst scaling discrete choice experiment," Energy Policy, Elsevier, vol. 156(C).
    23. Börger, Tobias & Hattam, Caroline, 2017. "Motivations matter: Behavioural determinants of preferences for remote and unfamiliar environmental goods," Ecological Economics, Elsevier, vol. 131(C), pages 64-74.
    24. Qiu, Y.Q. & Tsan Sheng Ng, Adam & Zhou, P., 2022. "Optimizing urban electric vehicle incentive policy mixes in China: Perspective of residential preference heterogeneity," Applied Energy, Elsevier, vol. 313(C).
    25. Ladenburg, Jacob & Jensen, Kirsten Lund & Lodahl, Christa & Keles, Dogan, 2022. "Testing for non-linear willingness to accept compensation for controlled electricity switch-offs using choice experiments," Energy, Elsevier, vol. 238(PB).
    26. Xu, Xiaojing & Chen, Chien-fei & Zhu, Xiaojuan & Hu, Qinran, 2018. "Promoting acceptance of direct load control programs in the United States: Financial incentive versus control option," Energy, Elsevier, vol. 147(C), pages 1278-1287.
    27. Drysdale, Brian & Wu, Jianzhong & Jenkins, Nick, 2015. "Flexible demand in the GB domestic electricity sector in 2030," Applied Energy, Elsevier, vol. 139(C), pages 281-290.
    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. Richard S. J. Tol, 2023. "Navigating the energy trilemma during geopolitical and environmental crises," Papers 2301.07671, arXiv.org.
    2. Jin, Taeyoung & Lee, Tae Eui & Kim, Dowon, 2024. "Valuing flexible resources in the Korean electricity market based on stated preference methods," Utilities Policy, Elsevier, vol. 88(C).
    3. Nilsson, Anders & Bartusch, Cajsa, 2024. "Empowered or enchained? Exploring consumer perspectives on Direct Load Control," Energy Policy, Elsevier, vol. 192(C).
    4. Jin, Taeyoung & Lee, Tae Eui & Kim, Dowon, 2023. "Value of lost load estimation for the South Korea's manufacturing sector—finding the gap between the supply and demand side," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    5. Patrick Ludwig & Christian Winzer, 2022. "Tariff Menus to Avoid Rebound Peaks: Results from a Discrete Choice Experiment with Swiss Customers," Energies, MDPI, vol. 15(17), pages 1-21, August.
    6. Ladenburg, Jacob & Jensen, Kirsten Lund & Lodahl, Christa & Keles, Dogan, 2022. "Testing for non-linear willingness to accept compensation for controlled electricity switch-offs using choice experiments," Energy, Elsevier, vol. 238(PB).
    7. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Toward residential flexibility—Consumer willingness to enroll household loads in demand response," Applied Energy, Elsevier, vol. 342(C).
    8. O’Reilly, Ryan & Cohen, Jed & Reichl, Johannes, 2024. "Achievable load shifting potentials for the European residential sector from 2022–2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    9. Motz, Alessandra, 2021. "Security of supply and the energy transition: The households' perspective investigated through a discrete choice model with latent classes," Energy Economics, Elsevier, vol. 97(C).
    10. 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).
    11. Aweke, Abinet Tilahun & Navrud, Ståle, 2022. "Valuing energy poverty costs: Household welfare loss from electricity blackouts in developing countries," Energy Economics, Elsevier, vol. 109(C).
    12. Bernadeta Gołębiowska, 2020. "Preferences for demand side management—a review of choice experiment studies," Working Papers 2020-05, Faculty of Economic Sciences, University of Warsaw.
    13. Capper, Timothy & Kuriakose, Jaise & Sharmina, Maria, 2024. "Facilitating domestic demand response in Britain’s electricity system," Utilities Policy, Elsevier, vol. 89(C).
    14. Ovaere, Marten & Heylen, Evelyn & Proost, Stef & Deconinck, Geert & Van Hertem, Dirk, 2019. "How detailed value of lost load data impact power system reliability decisions," Energy Policy, Elsevier, vol. 132(C), pages 1064-1075.
    15. Julien Lancelot Michellod & Declan Kuch & Christian Winzer & Martin K. Patel & Selin Yilmaz, 2022. "Building Social License for Automated Demand-Side Management—Case Study Research in the Swiss Residential Sector," Energies, MDPI, vol. 15(20), pages 1-25, October.
    16. Bigerna, Simona & Choudhary, Piyush & Kumar Jain, Nikunj & Micheli, Silvia & Polinori, Paolo, 2022. "Avoiding unanticipated power outages: households’ willingness to pay in India," MPRA Paper 114160, University Library of Munich, Germany.
    17. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    18. Nikolas Schöne & Kathrin Greilmeier & Boris Heinz, 2022. "Survey-Based Assessment of the Preferences in Residential Demand Response on the Island of Mayotte," Energies, MDPI, vol. 15(4), pages 1-30, February.
    19. Bertsch, Valentin & Harold, Jason & Fell, Harrison, 2019. "Consumer preferences for end-use specific curtailable electricity contracts on household appliances during peak load hours," Papers WP632, Economic and Social Research Institute (ESRI).
    20. Curtis, John & Brazil, William & Harold, Jason, 2019. "Understanding preference heterogeneity in electricity services: the case of domestic appliance curtailment contracts," Papers WP638, Economic and Social Research Institute (ESRI).

    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:appene:v:367:y:2024:i:c:s0306261924007189. 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/wps/find/journaldescription.cws_home/405891/description#description .

    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.