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The Short-Run Effects of Time-Varying Prices in Competitive Electricity Markets

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  • Stephen P. Holland
  • Erin T. Mansur

Abstract

We analyze the efficiency, distributional, and environmental effects of real-time pricing (RTP) adoption in the short run. Consistent with theory, our simulations of the PJM electricity market show that RTP adoption improves efficiency and compresses the distributions of loads and prices. Adoption increases average load but decreases operating profits with the largest decrease for oil-fired generation (59% when all customers adopt). Consumer surplus and welfare gains are modest (2.5% and 0.24% of the energy bill), and emissions of SO2 and NOx increase but CO2 emissions decrease. Approximately 30% of these efficiency gains could be captured by varying flat rates monthly instead of annually. Monthly flat rate adjustment has many of the same effects as RTP adoption, captures more of the deadweight loss than time of use (TOU) rates, and requires no new metering technology.

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Bibliographic Info

Article provided by International Association for Energy Economics in its journal The Energy Journal.

Volume (Year): Volume 27 (2006)
Issue (Month): Number 4 ()
Pages: 127-156

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Handle: RePEc:aen:journl:2006v27-04-a06

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Cited by:
  1. Maria Kopsakangas-Savolainen & Rauli Svento, 2013. "Promotion of Market Access for Renewable Energy in the Nordic Power Markets," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 54(4), pages 549-569, April.
  2. James Cochell & Peter Schwarz & Thomas Taylor, 2012. "Using real-time electricity data to estimate response to time-of-use and flat rates: an application to emissions," Journal of Regulatory Economics, Springer, vol. 42(2), pages 135-158, October.
  3. C. Woo & J. Zarnikau & E. Kollman, 2012. "Exact welfare measurement for double-log demand with partial adjustment," Empirical Economics, Springer, vol. 42(1), pages 171-180, February.
  4. Claire Bergaentzlé & Cédric Clastres & Haikel Khalfallah, 2014. "Demand-side management and European environmental and energy goals: an optimal complementary approach," Post-Print halshs-00928678, HAL.
  5. Grohnheit, Poul Erik & Andersen, Frits Møller & Larsen, Helge V., 2011. "Area price and demand response in a market with 25% wind power," Energy Policy, Elsevier, vol. 39(12), pages 8051-8061.
  6. Léautier, Thomas-Olivier, 2012. "Is mandating "smart meters" smart?," IDEI Working Papers 747, Institut d'Économie Industrielle (IDEI), Toulouse.
  7. Boom, Anette & Schwenen, Sebastian, 2013. "Real-time Pricing in Power Markets: Who Gains?," Working Papers 01-2013, Copenhagen Business School, Department of Economics.
  8. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
  9. Bergaentzlé, Claire & Clastres, Cédric & Khalfallah, Haikel, 2014. "Demand-side management and European environmental and energy goals: An optimal complementary approach," Energy Policy, Elsevier, vol. 67(C), pages 858-869.
  10. Wai Choi & Anindya Sen & Adam White, 2011. "Response of industrial customers to hourly pricing in Ontario’s deregulated electricity market," Journal of Regulatory Economics, Springer, vol. 40(3), pages 303-323, December.
  11. Stephen P. Holland & Erin T. Mansur, 2007. "Is Real-Time Pricing Green? The Environmental Impacts of Electricity Demand Variance," NBER Working Papers 13508, National Bureau of Economic Research, Inc.
  12. Claire Bergaentzlé, 2013. "From smart technology to smart consumers: for better system reliability and improved market efficiency," Post-Print halshs-01011169, HAL.

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