IDEAS home Printed from https://ideas.repec.org/p/hae/wpaper/2018-6.html
   My bibliography  Save this paper

Integrating Renewable Energy with Time Varying Pricing

Author

Listed:
  • Makena Coffman

    (UHERO; Department of Urban and Regional Planning, University of Hawaii)

  • Paul Bernstein

    (UHERO)

  • Derek Stenclik

    (GE Energy Consulting)

  • Sherilyn Wee

    (UHERO; Public Policy Center, University of Hawaii)

  • Aida Arik

    (UHERO)

Abstract

With increasing adoption of intermittent sources of renewable energy, effective integration is paramount to fully realizing societal benefits. This study asks the question, how valuable is residential real-time pricing (RTP) in comparison to time-of-use (TOU) rates to absorb increasing sources of intermittent renewable energy? We couple a detailed power sector model with a residential electricity demand response model to estimate the system and consumer benefits of these two time-varying pricing mechanisms, including greenhouse gas emissions.

Suggested Citation

  • 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.
  • Handle: RePEc:hae:wpaper:2018-6
    as

    Download full text from publisher

    File URL: https://uhero.hawaii.edu/wp-content/uploads/2019/08/UHEROwp1806.pdf
    File Function: First version, 2018
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dergiades, Theologos & Tsoulfidis, Lefteris, 2008. "Estimating residential demand for electricity in the United States, 1965-2006," Energy Economics, Elsevier, vol. 30(5), pages 2722-2730, September.
    2. 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.
    3. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(1), pages 1-17, April.
    4. Mostafa Baladi, S. & Herriges, Joseph A. & Sweeney, Thomas J., 1998. "Residential response to voluntary time-of-use electricity rates," Resource and Energy Economics, Elsevier, vol. 20(3), pages 225-244, September.
    5. Halicioglu, Ferda, 2007. "Residential electricity demand dynamics in Turkey," Energy Economics, Elsevier, vol. 29(2), pages 199-210, March.
    6. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
    7. Faruqui, Ahmad & George, Stephen S., 2002. "The Value of Dynamic Pricing in Mass Markets," The Electricity Journal, Elsevier, vol. 15(6), pages 45-55, July.
    8. Dennis Aigner, 1985. "The Residential Electricity Time-of-Use Pricing Experiments: What Have We Learned?," NBER Chapters, in: Social Experimentation, pages 11-54, National Bureau of Economic Research, Inc.
    9. 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.
    10. 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.
    11. 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.
    12. Herter, Karen & Wayland, Seth, 2010. "Residential response to critical-peak pricing of electricity: California evidence," Energy, Elsevier, vol. 35(4), pages 1561-1567.
    13. Herter, Karen & McAuliffe, Patrick & Rosenfeld, Arthur, 2007. "An exploratory analysis of California residential customer response to critical peak pricing of electricity," Energy, Elsevier, vol. 32(1), pages 25-34.
    14. Herter, Karen, 2007. "Residential implementation of critical-peak pricing of electricity," Energy Policy, Elsevier, vol. 35(4), pages 2121-2130, April.
    15. Aigner, Dennis J & Ghali, Khalifa, 1989. "Self-Selection in the Residential Electricity Time-of-Use Pricing Experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 131-144, Supplemen.
    16. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    17. Gilbert E. Metcalf, 2008. "An Empirical Analysis of Energy Intensity and Its Determinants at the State Level," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-26.
    18. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    19. Severin Borenstein, 2005. "The Long-Run Efficiency of Real-Time Electricity Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 93-116.
    20. H. S. Houthakker & Philip K. Verleger & Dennis P. Sheehan, 1974. "Dynamic Demand Analyses for Gasoline and Residential Electricity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 412-418.
    21. Jessoe, Katrina & Rapson, David & Smith, Jeremy B., 2014. "Towards understanding the role of price in residential electricity choices: Evidence from a natural experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 191-208.
    22. Narayan, Paresh Kumar & Smyth, Russell, 2005. "The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 33(4), pages 467-474, March.
    23. Alexander, Barbara R., 2010. "Dynamic Pricing? Not So Fast! A Residential Consumer Perspective," The Electricity Journal, Elsevier, vol. 23(6), pages 39-49, July.
    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. Makena Coffman & Paul Bernstein & Sherilyn Wee & Aida Arik, 2016. "Estimating the Opportunity for Load-Shifting in Hawaii: An Analysis of Proposed Residential Time-of-Use Rates," Working Papers 2016-10, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    2. 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.
    3. Takanori Ida & Wenjie Wang, 2014. "A Field Experiment on Dynamic Electricity Pricing in Los Alamos:Opt-in Versus Opt-out," Discussion papers e-14-010, Graduate School of Economics Project Center, Kyoto University.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Capitán, Tabaré & Alpízar, Francisco & Madrigal-Ballestero, Róger & Pattanayak, Subhrendu K., 2021. "Time-varying pricing may increase total electricity consumption: Evidence from Costa Rica," Resource and Energy Economics, Elsevier, vol. 66(C).
    10. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.
    11. Yang, Changhui & Meng, Chen & Zhou, Kaile, 2018. "Residential electricity pricing in China: The context of price-based demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2870-2878.
    12. Almas Heshmati, 2014. "Demand, Customer Base-Line And Demand Response In The Electricity Market: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 862-888, December.
    13. Anette Boom & Sebastian Schwenen, 2021. "Is real-time pricing smart for consumers?," Journal of Regulatory Economics, Springer, vol. 60(2), pages 193-213, December.
    14. Laura Mørch Andersen & Lars Gårn Hansen & Carsten Lynge Jensen & Frank A. Wolak, 2019. "Can Incentives to Increase Electricity Use Reduce the Cost of Integrating Renewable Resources," NBER Working Papers 25615, National Bureau of Economic Research, Inc.
    15. Fabra, Natalia, 2021. "The energy transition: An industrial economics perspective," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    16. Bryan K. Bollinger & Wesley R. Hartmann, 2020. "Information vs. Automation and Implications for Dynamic Pricing," Management Science, INFORMS, vol. 66(1), pages 290-314, January.
    17. He, Yongxiu & Wang, Bing & Wang, Jianhui & Xiong, Wei & Xia, Tian, 2012. "Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China," Energy, Elsevier, vol. 47(1), pages 230-236.
    18. Lang, Corey & Qiu, Yueming (Lucy) & Dong, Luran, 2023. "Increasing voluntary enrollment in time-of-use electricity rates: Findings from a survey experiment," Energy Policy, Elsevier, vol. 173(C).
    19. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    20. 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).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hae:wpaper:2018-6. 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: UHERO (email available below). General contact details of provider: https://edirc.repec.org/data/heuhius.html .

    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.