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Avoided cost estimation and post-reform funding allocation for California's energy efficiency programs

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  • Baskette, C.
  • Horii, B.
  • Kollman, E.
  • Price, S.

Abstract

This paper summarizes the first comprehensive estimation of California's electricity avoided costs since the state reformed its electricity market. It describes avoided cost estimates that vary by time and location, thus facilitating targeted design, funding, and marketing of demand-side management (DSM) and energy efficiency (EE) programs that could not have occurred under the previous methodology of system average cost estimation. The approach, data, and results reflect two important market structure changes: (a) wholesale spot and forward markets now supply electricity commodities to load serving entities; and (b) the evolution of an emissions market that internalizes and prices some of the externalities of electricity generation. The paper also introduces the multiplier effect of a price reduction due to DSM/EE implementation on electricity bills of all consumers. It affirms that area- and time-specific avoided cost estimates can improve the allocation of the state's public funding for DSM/EE programs, a finding that could benefit other parts of North America (e.g. Ontario and New York), which have undergone electricity deregulation.

Suggested Citation

  • Baskette, C. & Horii, B. & Kollman, E. & Price, S., 2006. "Avoided cost estimation and post-reform funding allocation for California's energy efficiency programs," Energy, Elsevier, vol. 31(6), pages 1084-1099.
  • Handle: RePEc:eee:energy:v:31:y:2006:i:6:p:1084-1099
    DOI: 10.1016/j.energy.2005.03.009
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    References listed on IDEAS

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    Cited by:

    1. Moore, J. & Woo, C.K. & Horii, B. & Price, S. & Olson, A., 2010. "Estimating the option value of a non-firm electricity tariff," Energy, Elsevier, vol. 35(4), pages 1609-1614.
    2. Yushchenko, Alisa & Patel, Martin Kumar, 2016. "Contributing to a green energy economy? A macroeconomic analysis of an energy efficiency program operated by a Swiss utility," Applied Energy, Elsevier, vol. 179(C), pages 1304-1320.
    3. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
    4. repec:gam:jeners:v:9:y:2016:i:4:p:266:d:67496 is not listed on IDEAS
    5. Woo, Chi-Keung & Horowitz, Ira & Tishler, Asher, 2006. "A critical assessment of the Hong Kong Government's proposed post-2008 regulatory regime for local electricity utilities," Energy Policy, Elsevier, vol. 34(13), pages 1451-1456, September.
    6. Biegel, Benjamin & Hansen, Lars Henrik & Stoustrup, Jakob & Andersen, Palle & Harbo, Silas, 2014. "Value of flexible consumption in the electricity markets," Energy, Elsevier, vol. 66(C), pages 354-362.
    7. Yushchenko, Alisa & Patel, Martin Kumar, 2017. "Cost-effectiveness of energy efficiency programs: How to better understand and improve from multiple stakeholder perspectives?," Energy Policy, Elsevier, vol. 108(C), pages 538-550.
    8. Woo, C.K. & Moore, J. & Schneiderman, B. & Ho, T. & Olson, A. & Alagappan, L. & Chawla, K. & Toyama, N. & Zarnikau, J., 2016. "Merit-order effects of renewable energy and price divergence in California’s day-ahead and real-time electricity markets," Energy Policy, Elsevier, vol. 92(C), pages 299-312.
    9. Jiahai Yuan & Chunning Na & Zheng Hu & Ping Li, 2016. "Energy Conservation and Emissions Reduction in China’s Power Sector: Alternative Scenarios Up to 2020," Energies, MDPI, Open Access Journal, vol. 9(4), pages 1-16, April.
    10. Sousa, José Luís & Martins, António Gomes & Jorge, Humberto, 2013. "Dealing with the paradox of energy efficiency promotion by electric utilities," Energy, Elsevier, vol. 57(C), pages 251-258.
    11. DeBenedictis, A. & Hoff, T.E. & Price, S. & Woo, C.K., 2010. "Statistically adjusted engineering (SAE) modeling of metered roof-top photovoltaic (PV) output: California evidence," Energy, Elsevier, vol. 35(10), pages 4178-4183.
    12. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    13. Woo, C.K. & Chen, Y. & Olson, A. & Moore, J. & Schlag, N. & Ong, A. & Ho, T., 2017. "Electricity price behavior and carbon trading: New evidence from California," Applied Energy, Elsevier, vol. 204(C), pages 531-543.
    14. Sreedharan, P. & Miller, D. & Price, S. & Woo, C.K., 2012. "Avoided cost estimation and cost-effectiveness of permanent load shifting in California," Applied Energy, Elsevier, vol. 96(C), pages 115-121.

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