IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v76y2018icp257-273.html
   My bibliography  Save this article

Time-varying electricity pricing and consumer heterogeneity: Welfare and distributional effects with variable renewable supply

Author

Listed:
  • Gambardella, Christian
  • Pahle, Michael

Abstract

Advanced metering infrastructure is being rolled out at large scale in many U.S. and European power markets, allowing for exposing consumers to time-varying electricity prices. The latter is considered crucial for coping with growing variable renewable electricity supply and essential for allocative efficiency in electricity markets. Yet, significant amounts of the potential efficiency gains from time-varying tariffing may be left unrealized, since many residential and commercial retail consumers could actually prefer to stick with the usual default, which is flat tariffing, in order to avoid potential consumption cost increases. We study how increasing variable renewable supply affects individual consumption cost changes from implementing real-time retail pricing among residential consumers, using consumption data from Germany and simulating long-run electricity market equilibria. We find that most customers face comparatively small bill changes at high renewable supply shares. We further analyze how consumer heterogeneity influences the unrealized welfare gains from rejecting real-time pricing. Applying synthetic residential, commercial and industrial demand profiles calibrated to German market data, we find that unrealized welfare gains are 18% to 57% larger, if mostly residential and commercial instead of industrial customers remain flat-priced. The corresponding unrealized welfare gains can more than quadruple to 1.1 bn EUR per year, if renewable supply shares increase. Additionally, targeted rollouts of real-time pricing can entail adverse distributional effects across consumer sectors. Particularly residential consumers can face rate increases, if mainly industrial consumers adopt real-time pricing.

Suggested Citation

  • Gambardella, Christian & Pahle, Michael, 2018. "Time-varying electricity pricing and consumer heterogeneity: Welfare and distributional effects with variable renewable supply," Energy Economics, Elsevier, vol. 76(C), pages 257-273.
  • Handle: RePEc:eee:eneeco:v:76:y:2018:i:c:p:257-273
    DOI: 10.1016/j.eneco.2018.08.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988318303281
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2018.08.020?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. Salies, Evens, 2013. "Real-time pricing when some consumers resist in saving electricity," Energy Policy, Elsevier, vol. 59(C), pages 843-849.
    2. Thomas-Olivier Leautier, 2014. "Is Mandating "Smart Meters" Smart?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    3. Katrina Jessoe & David Rapson, 2014. "Knowledge Is (Less) Power: Experimental Evidence from Residential Energy Use," American Economic Review, American Economic Association, vol. 104(4), pages 1417-1438, April.
    4. Brouwer, Anne Sjoerd & van den Broek, Machteld & Zappa, William & Turkenburg, Wim C. & Faaij, André, 2016. "Least-cost options for integrating intermittent renewables in low-carbon power systems," Applied Energy, Elsevier, vol. 161(C), pages 48-74.
    5. Ferris, Michael C. & Munson, Todd S., 2000. "Complementarity problems in GAMS and the PATH solver," Journal of Economic Dynamics and Control, Elsevier, vol. 24(2), pages 165-188, February.
    6. Severin Borenstein, 2012. "The Private and Public Economics of Renewable Electricity Generation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 67-92, Winter.
    7. Chao, Hung-po, 2011. "Efficient pricing and investment in electricity markets with intermittent resources," Energy Policy, Elsevier, vol. 39(7), pages 3945-3953, July.
    8. Severin Borenstein & Stephen Holland, 2005. "On the Efficiency of Competitive Electricity Markets with Time-Invariant Retail Prices," RAND Journal of Economics, The RAND Corporation, vol. 36(3), pages 469-493, Autumn.
    9. Christian Gambardella & Michael Pahle & Wolf-Peter Schill, 2016. "Do Benefits from Dynamic Tariffing Rise? Welfare Effects of Real-Time Pricing under Carbon-Tax-Induced Variable Renewable Energy Supply," Discussion Papers of DIW Berlin 1621, DIW Berlin, German Institute for Economic Research.
    10. Rutherford, Thomas F., 1995. "Extension of GAMS for complementarity problems arising in applied economic analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 19(8), pages 1299-1324, November.
    11. Stephen P. Holland & Erin T. Mansur, 2006. "The Short-Run Effects of Time-Varying Prices in Competitive Electricity Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 127-156.
    12. Lamont, Alan D., 2008. "Assessing the long-term system value of intermittent electric generation technologies," Energy Economics, Elsevier, vol. 30(3), pages 1208-1231, May.
    13. F. M. Andersen & H. V. Larsen & L. Kitzing & P. E. Morthorst, 2014. "Who gains from hourly time‐of‐use retail prices on electricity? An analysis of consumption profiles for categories of Danish electricity customers," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(6), pages 582-593, November.
    14. S. Borenstein, 2013. "Effective and Equitable Adoption of Opt-In Residential Dynamic Electricity Pricing," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 42(2), pages 127-160, March.
    15. repec:hal:spmain:info:hdl:2441/1v5t17iu579ln8fcl17pe3te92 is not listed on IDEAS
    16. Severin Borenstein, 2007. "Wealth Transfers Among Large Customers from Implementing Real-Time Retail Electricity Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 131-150.
    17. Bertsch, Joachim & Growitsch, Christian & Lorenczik, Stefan & Nagl, Stephan, 2016. "Flexibility in Europe's power sector — An additional requirement or an automatic complement?," Energy Economics, Elsevier, vol. 53(C), pages 118-131.
    18. Kopsakangas Savolainen, Maria & Svento, Rauli, 2012. "Real-Time Pricing in the Nordic Power markets," Energy Economics, Elsevier, vol. 34(4), pages 1131-1142.
    19. Bollinger, Bryan & Hartmann, Wesley R., 2015. "Welfare Effects of Home Automation Technology with Dynamic Pricing," Research Papers 3274, Stanford University, Graduate School of Business.
    20. Green, Richard & Léautier, Thomas-Olivier, 2015. "Do costs fall faster than revenues? Dynamics of renewables entry into electricity markets," TSE Working Papers 15-591, Toulouse School of Economics (TSE).
    21. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
    22. Boßmann, T. & Staffell, I., 2015. "The shape of future electricity demand: Exploring load curves in 2050s Germany and Britain," Energy, Elsevier, vol. 90(P2), pages 1317-1333.
    23. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
    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. repec:hal:spmain:info:hdl:2441/60sgjahunh9dkqd8c1s048perp is not listed on IDEAS
    2. Tsao, Yu-Chung & Vu, Thuy-Linh, 2019. "Power supply chain network design problem for smart grid considering differential pricing and buy-back policies," Energy Economics, Elsevier, vol. 81(C), pages 493-502.
    3. Lu, Tianwei & Yao, Enjian & Jin, Fanglei & Yang, Yang, 2022. "Analysis of incentive policies for electric vehicle adoptions after the abolishment of purchase subsidy policy," Energy, Elsevier, vol. 239(PB).
    4. von Loessl, Victor, 2023. "Smart meter-related data privacy concerns and dynamic electricity tariffs: Evidence from a stated choice experiment," Energy Policy, Elsevier, vol. 180(C).
    5. Hao, Peng & Guo, Jun-Peng & Chen, Yihsu & Xie, Bai-Chen, 2020. "Does a combined strategy outperform independent policies? Impact of incentive policies on renewable power generation," Omega, Elsevier, vol. 97(C).
    6. 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).
    7. Mier, Mathias & Siala, Kais & Govorukha, Kristina & Mayer, Philip, 2023. "Collaboration, decarbonization, and distributional effects," Applied Energy, Elsevier, vol. 341(C).
    8. Konstantinos Sofias & Zoe Kanetaki & Constantinos Stergiou & Sébastien Jacques, 2023. "Combining CAD Modeling and Simulation of Energy Performance Data for the Retrofit of Public Buildings," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    9. Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," Applied Energy, Elsevier, vol. 236(C), pages 401-409.
    10. Julia Bok & Evens Salies, 2018. "Transformation numérique du secteur de l’énergie," Sciences Po publications info:hdl:2441/60sgjahunh9, Sciences Po.
    11. Felipe Moraes do Nascimento & Julio Cezar Mairesse Siluk & Fernando de Souza Savian & Taís Bisognin Garlet & José Renes Pinheiro & Carlos Ramos, 2020. "Factors for Measuring Photovoltaic Adoption from the Perspective of Operators," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    12. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(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. Christian Gambardella & Michael Pahle & Wolf-Peter Schill, 2020. "Do Benefits from Dynamic Tariffing Rise? Welfare Effects of Real-Time Retail Pricing Under Carbon Taxation and Variable Renewable Electricity Supply," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 183-213, January.
    2. Christian Gambardella & Michael Pahle & Wolf-Peter Schill, 2016. "Do Benefits from Dynamic Tariffing Rise? Welfare Effects of Real-Time Pricing under Carbon-Tax-Induced Variable Renewable Energy Supply," Discussion Papers of DIW Berlin 1621, DIW Berlin, German Institute for Economic Research.
    3. Krishnamurthy, Chandra Kiran B. & Vesterberg, Mattias & Böök, Herman & Lindfors, Anders V. & Svento, Rauli, 2018. "Real-time pricing revisited: Demand flexibility in the presence of micro-generation," Energy Policy, Elsevier, vol. 123(C), pages 642-658.
    4. Anette Boom & Sebastian Schwenen, 2021. "Is real-time pricing smart for consumers?," Journal of Regulatory Economics, Springer, vol. 60(2), pages 193-213, December.
    5. Pahle, Michael & Schill, Wolf-Peter & Gambardella, Christian & Tietjen, Oliver, 2016. "Renewable Energy Support, Negative Prices, and Real-time Pricing," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 37, pages 147-169.
    6. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Mier, Mathias & Weissbart, Christoph, 2020. "Power markets in transition: Decarbonization, energy efficiency, and short-term demand response," Energy Economics, Elsevier, vol. 86(C).
    8. Makena Coffman & Paul Bernstein & Derek Stenclik & Sherilyn Wee & Aida Arik, 2018. "Integrating Renewable Energy with Time Varying Pricing," Working Papers 2018-6, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    9. Helm, Carsten & Mier, Mathias, 2019. "On the efficient market diffusion of intermittent renewable energies," Energy Economics, Elsevier, vol. 80(C), pages 812-830.
    10. Fabra, Natalia, 2021. "The energy transition: An industrial economics perspective," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    11. 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.
    12. 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).
    13. Carsten Helm & Mathias Mier, 2020. "Steering the Energy Transition in a World of Intermittent Electricity Supply: Optimal Subsidies and Taxes for Renewables Storage," ifo Working Paper Series 330, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    14. Helm, Carsten & Mier, Mathias, 2021. "Steering the energy transition in a world of intermittent electricity supply: Optimal subsidies and taxes for renewables and storage," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    15. Severin Borenstein & James Bushnell, 2015. "The US Electricity Industry After 20 Years of Restructuring," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 437-463, August.
    16. 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).
    17. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
    18. Paul L. Joskow, 2012. "Creating a Smarter U.S. Electricity Grid," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 29-48, Winter.
    19. Jaeyong An & P. R. Kumar & Le Xie, 2016. "Dynamic Modeling of Price Responsive Demand in Real-time Electricity Market: Empirical Analysis," Papers 1612.05021, arXiv.org.
    20. L. (Lisa B.) Ryan & Sarah La Monaca & Linda Mastrandrea & Petr Spodniak, 2018. "Harnessing Electricity Retail Tariffs to Support Climate Change Policy," Working Papers 201822, School of Economics, University College Dublin.

    More about this item

    Keywords

    Real-time pricing; Electricity market; Variable renewable generation; Carbon taxation; Welfare analysis; Heterogeneous agents modeling;
    All these keywords.

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    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:eneeco:v:76:y:2018:i:c:p:257-273. 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/eneco .

    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.