IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v407y2026ics0306261925020690.html

Design trade-offs for residential retail tariffs and virtual power plants

Author

Listed:
  • Bowen, Thomas
  • Blonsky, Michael
  • Simeone, Christina
  • McIlmoil, Rory
  • Alberg, Andrew
  • Estreich, Ellie

Abstract

Retail rate design and virtual power plants (VPPs) have the potential to shift customer electricity demand and provide economic benefits to utility customers. As the adoption of distributed energy resources (DERs) and flexible loads increases, retail tariff and program design can impact Bonbright's rate design principles including affordability, fairness, and economic efficiency. We model the effects of residential retail rates and VPP programs on power system costs in Massachusetts under a potential future system with high renewable energy and DER adoption. We model interactions among retail rate design, demand flexibility, and utility costs and identify trade-offs across different rate designs and VPP programs. We estimate that time-of-use (TOU) rates and VPP programs designed to avoid critical peak rates can lower overall system costs by 3.5 %–4.8 %. These lower costs translate to lower electricity bills for 62 %–91 % of customers, depending on the scenario. Although TOU rates with a critical peak VPP program can benefit all customer segments and are economically efficient, a VPP program with flat rates leads to the lowest overall bills for customers. We find that customers with loads that align with peak demand and who participate in critical peak VPP programs can underpay for their contribution to utility costs and shift costs to other customers. While our assumptions about mandatory TOU and/or critical peak pricing likely impact the magnitude of the results, the results highlight the trade-offs of these tariffs and programs and the importance of tariff and program design as demand becomes more flexible and responsive.

Suggested Citation

  • Bowen, Thomas & Blonsky, Michael & Simeone, Christina & McIlmoil, Rory & Alberg, Andrew & Estreich, Ellie, 2026. "Design trade-offs for residential retail tariffs and virtual power plants," Applied Energy, Elsevier, vol. 407(C).
  • Handle: RePEc:eee:appene:v:407:y:2026:i:c:s0306261925020690
    DOI: 10.1016/j.apenergy.2025.127339
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925020690
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.127339?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    2. Burns, Kelly & Mountain, Bruce, 2021. "Do households respond to Time-Of-Use tariffs? Evidence from Australia," Energy Economics, Elsevier, vol. 95(C).
    3. Jin, Xin & Baker, Kyri & Christensen, Dane & Isley, Steven, 2017. "Foresee: A user-centric home energy management system for energy efficiency and demand response," Applied Energy, Elsevier, vol. 205(C), pages 1583-1595.
    4. Alberini, Anna & Filippini, Massimo, 2011. "Response of residential electricity demand to price: The effect of measurement error," Energy Economics, Elsevier, vol. 33(5), pages 889-895, September.
    5. Scott P. Burger & Christopher R. Knittel & Ignacio J. Perez-Arriaga & Ian Schneider & Frederik vom Scheidt, 2020. "The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs," The Energy Journal, , vol. 41(1), pages 199-240, January.
    6. Miller, Mark & Alberini, Anna, 2016. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," Energy Policy, Elsevier, vol. 97(C), pages 235-249.
    7. Ansarin, Mohammad & Ghiassi-Farrokhfal, Yashar & Ketter, Wolfgang & Collins, John, 2020. "The economic consequences of electricity tariff design in a renewable energy era," Applied Energy, Elsevier, vol. 275(C).
    8. Jacobsen, Grant D. & Stewart, James I., 2022. "How do consumers respond to price complexity? Experimental evidence from the power sector," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    9. repec:aen:journl:ej39-2-burke is not listed on IDEAS
    10. Han, Yang & Lam, Jacqueline C.K. & Li, Victor O.K. & Newbery, David & Guo, Peiyang & Chan, Kelvin, 2024. "A deep learning approach for fairness-based time of use tariff design," Energy Policy, Elsevier, vol. 192(C).
    11. Schneider, Ian & Sunstein, Cass R., 2017. "Behavioral considerations for effective time-varying electricity prices," Behavioural Public Policy, Cambridge University Press, vol. 1(2), pages 219-251, November.
    12. Paul J. Burke & Ashani Abayasekara, 2018. "The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis," The Energy Journal, , vol. 39(2), pages 123-146, March.
    13. Blonsky, Michael & Maguire, Jeff & McKenna, Killian & Cutler, Dylan & Balamurugan, Sivasathya Pradha & Jin, Xin, 2021. "OCHRE: The Object-oriented, Controllable, High-resolution Residential Energy Model for Dynamic Integration Studies," Applied Energy, Elsevier, vol. 290(C).
    14. repec:aen:journl:ej41-1-burger is not listed on IDEAS
    15. Ansarin, Mohammad & Ghiassi-Farrokhfal, Yashar & Ketter, Wolfgang & Collins, John, 2022. "A review of equity in electricity tariffs in the renewable energy era," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    16. Simeone, Christina E. & Gagnon, Pieter & Cappers, Peter & Satchwell, Andrew, 2023. "The bill alignment test: Identifying trade-offs with residential rate design options," Utilities Policy, Elsevier, vol. 82(C).
    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. Mei Lu & Michael G Pollitt, 2025. "Will high carbon prices reduce fossil fuel use in China? Evidence from price elasticity estimates using firm data," Working Papers EPRG2508, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. Massié, Camille & Belaïd, Fateh, 2024. "Estimating the direct rebound effect for residential electricity use in seventeen European countries: Short and long-run perspectives," Energy Economics, Elsevier, vol. 134(C).
    3. Feyzollahi, Maryam & Rafizadeh, Nima, 2025. "The price-emissions nexus in U.S. residential electricity markets," Resource and Energy Economics, Elsevier, vol. 83(C).
    4. Dorothée Charlier & Mouez Fodha & Djamel Kirat, 2023. "Residential CO2 Emissions in Europe and Carbon Taxation: A Country-Level Assessment," The Energy Journal, , vol. 44(5), pages 187-206, September.
    5. Javier Bueno & Desiderio Romero-Jordán & Pablo del Río, 2020. "Analysing the Drivers of Electricity Demand in Spain after the Economic Crisis," Energies, MDPI, vol. 13(20), pages 1-18, October.
    6. Nor Salwati Othman & Nurul Hezlin Mohamed Hariri, 2021. "Estimating the Causality and Elasticities of Residential Electricity Consumption for Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 335-346.
    7. Mamkhezri, Jamal, 2025. "Assessing price elasticity in US residential electricity consumption: A comparison of monthly and annual data with recession implications," Energy Policy, Elsevier, vol. 200(C).
    8. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    9. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2019. "Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles," Energies, MDPI, vol. 12(22), pages 1-22, November.
    10. Pereira Uhr, Daniel de Abreu & Squarize Chagas, André Luis & Ziero Uhr, Júlia Gallego, 2019. "Estimation of elasticities for electricity demand in Brazilian households and policy implications," Energy Policy, Elsevier, vol. 129(C), pages 69-79.
    11. Wang, Banban & Wei, Jie & Tan, Xiujie & Su, Bin, 2021. "The sectorally heterogeneous and time-varying price elasticities of energy demand in China," Energy Economics, Elsevier, vol. 102(C).
    12. Pellini, Elisabetta, 2021. "Estimating income and price elasticities of residential electricity demand with Autometrics," Energy Economics, Elsevier, vol. 101(C).
    13. Csereklyei, Zsuzsanna, 2020. "Price and income elasticities of residential and industrial electricity demand in the European Union," Energy Policy, Elsevier, vol. 137(C).
    14. Dorothée CHARLIER & Mouez FODHA & Djamel KIRAT, 2021. "CO2 Emissions from the Residential Sector in Europe: Some Insights form a Country-Level Assessment," LEO Working Papers / DR LEO 2849, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    15. Favero, Filippo & Grossi, Luigi, 2023. "Analysis of individual natural gas consumption and price elasticity: Evidence from billing data in Italy," Energy Economics, Elsevier, vol. 118(C).
    16. Boyoon Chang & Sung Jin Kang & Tae Yong Jung, 2019. "Price and Output Elasticities of Energy Demand for Industrial Sectors in OECD Countries," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    17. Paul J. Burke & Ashani Abayasekara, 2018. "The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis," The Energy Journal, , vol. 39(2), pages 123-146, March.
    18. 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).
    19. Huntington, Hillard, 2025. "Do high power prices slow electrification? Some panel data evidence," Energy Policy, Elsevier, vol. 203(C).
    20. Farrell, Niall, 2021. "The increasing cost of ignoring Coase: Inefficient electricity tariffs, welfare loss and welfare-reducing technological change," Energy Economics, Elsevier, vol. 97(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:407:y:2026:i:c:s0306261925020690. 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.