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Why Have Voluntary Time‐of‐Use Tariffs Fallen Short in the Residential Sector?

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  • Dong Gu Choi
  • Michael K. Lim
  • Karthik Murali
  • Valerie M. Thomas

Abstract

We investigate the causes behind the underwhelming adoption of voluntary Time‐of‐Use (TOU) tariffs in the residential electricity market. TOU tariffs are deployed by utilities to better match electricity generation capacity with market demand by giving consumers price incentives to reduce their consumption when electricity demand is at its peak. However, consumers in residential electricity markets are heterogeneous in their consumption preferences. Hence, utilities face a trade‐off when deploying voluntary TOU tariffs—to provide aggressive price incentives that will only appeal to consumers with flatter profiles or milder incentives to appeal to a larger proportion of the market. Using a game‐theoretic model, we identify the key factors that determine the viability of voluntary TOU tariff deployment. On the supply side, the gap between wholesale prices in the peak and off‐peak periods determines how much the utility stands to benefit by inducing demand response. On the demand side, heterogeneity within target consumer sets determines how much demand response the utility can induce with a certain price incentive. We show that misaligned incentives between utilities and regulators lead to underwhelming TOU tariff adoption compared to the socially desirable level, and that this under‐adoption is worse when consumption preferences are uniformly distributed. We also evaluate the degree of cross‐subsidization across tariff structures to identify their implications for equity among the different consumer types, and find that low levels of voluntary TOU adoption are less equitable than the default tariffs.

Suggested Citation

  • Dong Gu Choi & Michael K. Lim & Karthik Murali & Valerie M. Thomas, 2020. "Why Have Voluntary Time‐of‐Use Tariffs Fallen Short in the Residential Sector?," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 617-642, March.
  • Handle: RePEc:bla:popmgt:v:29:y:2020:i:3:p:617-642
    DOI: 10.1111/poms.13126
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    as
    1. Badri, Masood A., 1992. "Analysis of demand for electricity in the United States," Energy, Elsevier, vol. 17(7), pages 725-733.
    2. Chi-Keung Woo & Orans, Ren & Horii, Brian & Peter Chow, 1995. "Pareto-superior time-of-use rate option for industrial firms," Economics Letters, Elsevier, vol. 49(3), pages 267-272, September.
    3. Gerald R. Faulhaber, 2005. "Cross-Subsidy Analysis With More Than Two Services," Journal of Competition Law and Economics, Oxford University Press, vol. 1(3), pages 441-448.
    4. Alfredo Garcia & Enrique Campos-Nañez & James Reitzes, 2005. "Dynamic Pricing and Learning in Electricity Markets," Operations Research, INFORMS, vol. 53(2), pages 231-241, April.
    5. Kenneth Train & Gil Mehrez, 1994. "Optional Time-of-Use Prices for Electricity: Econometric Analysis of Surplus and Pareto Impacts," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 263-283, Summer.
    6. Faulhaber, Gerald R, 1975. "Cross-Subsidization: Pricing in Public Enterprises," American Economic Review, American Economic Association, vol. 65(5), pages 966-977, December.
    7. Yong Liang & Tianhu Deng & Zuo-Jun Max Shen, 2019. "Demand-side energy management under time-varying prices," IISE Transactions, Taylor & Francis Journals, vol. 51(4), pages 422-436, April.
    8. Felix Papier, 2016. "Managing Electricity Peak Loads in Make-To-Stock Manufacturing Lines," Production and Operations Management, Production and Operations Management Society, vol. 25(10), pages 1709-1726, October.
    9. Faruqui, Ahmad, 2010. "The Ethics of Dynamic Pricing," The Electricity Journal, Elsevier, vol. 23(6), pages 13-27, July.
    10. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    11. Faruqui, Ahmad & Malko, J.Robert, 1983. "The residential demand for electricity by time-of-use: A survey of twelve experiments with peak load pricing," Energy, Elsevier, vol. 8(10), pages 781-795.
    12. 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.
    13. Gärttner, Johannes & Flath, Christoph M. & Weinhardt, Christof, 2018. "Portfolio and contract design for demand response resources," European Journal of Operational Research, Elsevier, vol. 266(1), pages 340-353.
    14. Qi, Wei & Shen, Bo & Zhang, Hongcai & Shen, Zuo-Jun Max, 2017. "Sharing demand-side energy resources - A conceptual design," Energy, Elsevier, vol. 135(C), pages 455-465.
    15. Ericson, Torgeir, 2011. "Households' self-selection of dynamic electricity tariffs," Applied Energy, Elsevier, vol. 88(7), pages 2541-2547, July.
    16. Hartway, Rob & Price, Snuller & Woo, C.K, 1999. "Smart meter, customer choice and profitable time-of-use rate option," Energy, Elsevier, vol. 24(10), pages 895-903.
    17. Horowitz, I. & Woo, C.K., 2006. "Designing Pareto-superior demand-response rate options," Energy, Elsevier, vol. 31(6), pages 1040-1051.
    18. Yang, Liu & Dong, Ciwei & Wan, C.L. Johnny & Ng, Chi To, 2013. "Electricity time-of-use tariff with consumer behavior consideration," International Journal of Production Economics, Elsevier, vol. 146(2), pages 402-410.
    19. Hogan, William W., 2010. "Fairness and Dynamic Pricing: Comments," The Electricity Journal, Elsevier, vol. 23(6), pages 28-35, July.
    20. 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.
    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. A. Gürhan Kök & Kevin Shang & Şafak Yücel, 2018. "Impact of Electricity Pricing Policies on Renewable Energy Investments and Carbon Emissions," Management Science, INFORMS, vol. 64(1), pages 131-148, January.
    23. Rhodes, Joshua D. & Cole, Wesley J. & Upshaw, Charles R. & Edgar, Thomas F. & Webber, Michael E., 2014. "Clustering analysis of residential electricity demand profiles," Applied Energy, Elsevier, vol. 135(C), pages 461-471.
    24. Woo, C.K. & Kollman, E. & Orans, R. & Price, S. & Horii, B., 2008. "Now that California has AMI, what can the state do with it?," Energy Policy, Elsevier, vol. 36(4), pages 1366-1374, April.
    25. Paul L. Joskow & Catherine D. Wolfram, 2012. "Dynamic Pricing of Electricity," American Economic Review, American Economic Association, vol. 102(3), pages 381-385, May.
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    Cited by:

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    3. Choi, Dong Gu & Murali, Karthik, 2022. "The impact of heterogeneity in consumer characteristics on the design of optimal time-of-use tariffs," Energy, Elsevier, vol. 254(PB).

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