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Optimal Policies to Promote Efficient Distributed Generation of Electricity

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  • Brown, David P.

    (University of Alberta, Department of Economics)

  • Sappington, David E. M.

    (University of Florida)

Abstract

We analyze the design of policies to promote efficient distributed generation (DG) of electricity. The optimal policy varies with the set of instruments available to the regulator and with the prevailing DG production technology. DG capacity charges often play a valuable role in inducing optimal investment in DG capacity, allowing payments for DG production to induce the optimal production of electricity using non-intermittent DG technologies. Net metering can be optimal in certain settings, but often is not optimal, especially for non-intermittent DG technologies.

Suggested Citation

  • Brown, David P. & Sappington, David E. M., 2016. "Optimal Policies to Promote Efficient Distributed Generation of Electricity," Working Papers 2016-1, University of Alberta, Department of Economics.
    • Handle: RePEc:ris:albaec:2016_001
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    References listed on IDEAS

    as
    1. David P. Brown & David E. M. Sappington, 2016. "On the optimal design of demand response policies," Journal of Regulatory Economics, Springer, vol. 49(3), pages 265-291, June.
    2. David P. Brown & David E. M. Sappington, 2017. "Optimal policies to promote efficient distributed generation of electricity," Journal of Regulatory Economics, Springer, vol. 52(2), pages 159-188, October.
    3. Natalia Fabra & Mar Reguant, 2014. "Pass-Through of Emissions Costs in Electricity Markets," American Economic Review, American Economic Association, vol. 104(9), pages 2872-2899, September.
    4. Brown, David & Sappington, David, 2014. "On the Optimal Design of Distributed Generation Policies: Is Net Metering Ever Optimal?," Working Papers 2014-12, University of Alberta, Department of Economics.
    5. 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.
    6. Brown, David P. & Sappington, David E.M., 2018. "On the role of maximum demand charges in the presence of distributed generation resources," Energy Economics, Elsevier, vol. 69(C), pages 237-249.
    7. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan H., 2014. "Customer-economics of residential photovoltaic systems (Part 1): The impact of high renewable energy penetrations on electricity bill savings with net metering," Energy Policy, Elsevier, vol. 67(C), pages 290-300.
    8. Paul, Anthony & Myers, Erica & Palmer, Karen, 2009. "A Partial Adjustment Model of U.S. Electricity Demand by Region, Season, and Sector," RFF Working Paper Series dp-08-50, Resources for the Future.
    9. Timothy Brennan, 2010. "Decoupling in electric utilities," Journal of Regulatory Economics, Springer, vol. 38(1), pages 49-69, August.
    10. Couture, Toby & Gagnon, Yves, 2010. "An analysis of feed-in tariff remuneration models: Implications for renewable energy investment," Energy Policy, Elsevier, vol. 38(2), pages 955-965, February.
    11. Baumol, William J & Bradford, David F, 1970. "Optimal Departures from Marginal Cost Pricing," American Economic Review, American Economic Association, vol. 60(3), pages 265-283, June.
    12. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(1), pages 65-81, April.
    13. Leon Chu & David Sappington, 2013. "Motivating energy suppliers to promote energy conservation," Journal of Regulatory Economics, Springer, vol. 43(3), pages 229-247, June.
    14. Hung-po Chao, 2011. "Demand response in wholesale electricity markets: the choice of customer baseline," Journal of Regulatory Economics, Springer, vol. 39(1), pages 68-88, February.
    15. James Bushnell, 2007. "Oligopoly equilibria in electricity contract markets," Journal of Regulatory Economics, Springer, vol. 32(3), pages 225-245, December.
    16. Severin Borenstein, 2017. "Private Net Benefits of Residential Solar PV: The Role of Electricity Tariffs, Tax Incentives, and Rebates," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(S1), pages 85-122.
    17. Brennan, Timothy J., 2010. "Optimal energy efficiency policies and regulatory demand-side management tests: How well do they match?," Energy Policy, Elsevier, vol. 38(8), pages 3874-3885, August.
    18. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan, 2011. "The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California," Energy Policy, Elsevier, vol. 39(9), pages 5243-5253, September.
    19. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
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    Cited by:

    1. David P. Brown & David E. M. Sappington, 2017. "Optimal policies to promote efficient distributed generation of electricity," Journal of Regulatory Economics, Springer, vol. 52(2), pages 159-188, October.
    2. Spiller, Elisheba & Esparza, Ricardo & Mohlin, Kristina & Tapia-Ahumada, Karen & Ünel, Burçin, 2023. "The role of electricity tariff design in distributed energy resource deployment," Energy Economics, Elsevier, vol. 120(C).
    3. Georgi N. Todorov & Andrey I. Vlasov & Elena E. Volkova & Marina A. Osintseva, 2020. "Sustainability in Local Power Supply Systems of Production Facilities Where There Is the Compensatory Use of Renewable Energy Sources," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 14-23.
    4. Wagner, Johannes, 2018. "Distributed Generation in Unbundled Electricity Markets," EWI Working Papers 2018-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    5. Michas, Serafeim & Stavrakas, Vassilis & Papadelis, Sotiris & Flamos, Alexandros, 2020. "A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways," Energy Policy, Elsevier, vol. 139(C).
    6. Boampong, Richard & Brown, David P., 2020. "On the benefits of behind-the-meter rooftop solar and energy storage: The importance of retail rate design," Energy Economics, Elsevier, vol. 86(C).
    7. Wangsness, Paal Brevik & Proost, Stef & Rødseth, Kenneth Løvold, 2021. "Optimal policies for electromobility: Joint assessment of transport and electricity distribution costs in Norway," Utilities Policy, Elsevier, vol. 72(C).
    8. Axel Gautier & Julien Jacqmin, 2020. "PV adoption: the role of distribution tariffs under net metering," Journal of Regulatory Economics, Springer, vol. 57(1), pages 53-73, February.
    9. Axel Gautier & Julien Jacqmin & Jean-Christophe Poudou, 2018. "The prosumers and the grid," Journal of Regulatory Economics, Springer, vol. 53(1), pages 100-126, February.
    10. Robert Clark & Mario Samano, 2022. "Incentivized Mergers and Cost Efficiency: Evidence from the Electricity Distribution Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 70(4), pages 791-837, December.
    11. Venkatraman, Athindra & Thatte, Anupam A. & Xie, Le, 2021. "A smart meter data-driven distribution utility rate model for networks with prosumers," Utilities Policy, Elsevier, vol. 70(C).
    12. Cambini, Carlo & Soroush, Golnoush, 2019. "Designing grid tariffs in the presence of distributed generation," Utilities Policy, Elsevier, vol. 61(C).

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    More about this item

    Keywords

    electricity pricing; distributed generation; regulation;
    All these keywords.

    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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