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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
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    File URL: https://uhero.hawaii.edu/wp-content/uploads/2019/08/UHEROwp1806.pdf
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    References listed on IDEAS

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    1. 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(01), pages 1-17, April.
    2. 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.
    3. 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.
    4. Halicioglu, Ferda, 2007. "Residential electricity demand dynamics in Turkey," Energy Economics, Elsevier, vol. 29(2), pages 199-210, March.
    5. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
    6. 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.
    7. 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.
    8. repec:aen:journl:2007v28-02-a06 is not listed on IDEAS
    9. 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.
    10. Herter, Karen & Wayland, Seth, 2010. "Residential response to critical-peak pricing of electricity: California evidence," Energy, Elsevier, vol. 35(4), pages 1561-1567.
    11. 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.
    12. Herter, Karen, 2007. "Residential implementation of critical-peak pricing of electricity," Energy Policy, Elsevier, vol. 35(4), pages 2121-2130, April.
    13. 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.
    14. 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.
    15. repec:aen:journl:2008v29-03-a01 is not listed on IDEAS
    16. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    17. repec:aen:journl:2005v26-03-a05 is not listed on IDEAS
    18. 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.
    19. 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.
    20. 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.
    21. Alexander, Barbara R., 2010. "Dynamic Pricing? Not So Fast! A Residential Consumer Perspective," The Electricity Journal, Elsevier, vol. 23(6), pages 39-49, July.
    22. 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.
    23. 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.
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