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Role of Advance Notice on High-priced Hours: Critical peak pricing on industrial demand

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  • ISOGAWA Daiya
  • OHASHI Hiroshi
  • ANAI Tokunari

Abstract

This paper evaluates the impact of advance notice of demand curtailment events on inter-temporal consumption patterns of industrial electricity consumers. The empirical analysis focuses on a demand-response program offered in Japan, which has the same incentive structure as critical peak pricing (CPP). CPP imposes known higher prices at times that are not announced ahead of time, but the uncertainty of high-priced hours presumably limits the extent to which demand flexibly responds to the price intervention. Estimates of inter-temporal constant-elasticity-substitution preference indicate that advance notice weakens, not strengthens, the effectiveness of CPP for those industrial users who have lower rates of intra-day substitution of electricity consumption. The electricity demand turns significantly less elastic when the timings of CPP are announced in advance, compared to when they are kept unknown. This is largely because industrial electricity users in the Japanese manufacturing sector prioritize stable utilization of production facilities. Finally, the estimates imply that providing advance notice would encourage the participation of the demand curtailment program.

Suggested Citation

  • ISOGAWA Daiya & OHASHI Hiroshi & ANAI Tokunari, 2022. "Role of Advance Notice on High-priced Hours: Critical peak pricing on industrial demand," Discussion papers 22068, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:22068
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    References listed on IDEAS

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    1. Herriges, Joseph A, et al, 1993. "The Response of Industrial Customers to Electric Rates Based upon Dynamic Marginal Costs," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 446-454, August.
    2. 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.
    3. Thomas Taylor & Peter Schwarz & James Cochell, 2005. "24/7 Hourly Response to Electricity Real-Time Pricing with up to Eight Summers of Experience," Journal of Regulatory Economics, Springer, vol. 27(3), pages 235-262, January.
    4. Harold, Jason & Bertsch, Valentin & Fell, Harrison, 2021. "Preferences for curtailable electricity contracts: Can curtailment benefit consumers and the electricity system?," Energy Economics, Elsevier, vol. 102(C).
    5. 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.
    6. Earle, Robert & Kahn, Edward P. & Macan, Edo, 2009. "Measuring the Capacity Impacts of Demand Response," The Electricity Journal, Elsevier, vol. 22(6), pages 47-58, July.
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