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Now that California has AMI, what can the state do with it?

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  • Woo, C.K.
  • Kollman, E.
  • Orans, R.
  • Price, S.
  • Horii, B.

Abstract

Recognizing the lack of retail-demand response, a state regulator, such as the California Public Utilities Commission (CPUC), seeks tariff proposals that transmit wholesale price signals to a local distribution company's (LDC) retail customers. To enable these proposals, the CPUC has authorized funding for advanced metering infrastructure (AMI) for two investor-owned LDCs. Assuming regulatory approval of the third LDC's application, the state's US$4.28 billion AMI investment will aid new rate designs for 11.3 million electricity customers. Now that California has AMI, what can the state do with it? With AMI in hand, an LDC can implement service options that can further the state's energy initiatives, ranging from resource adequacy requirement (RAR) to greenhouse gas (GHG) emissions reduction. These options can efficiently allocate limited capacity based on each customer's willingness to pay, without the unnecessary distinction between price rationing and reliability differentiation. They can be Pareto superior, welfare dominating the default tariffs that apply to these customers. A case in point is the generalized demand subscription service (GDSS) option proposed in this paper. However, it is unclear whether the option will find wide customer acceptance, without an LDC's intensive customer education and marketing efforts.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:36:y:2008:i:4:p:1366-1374
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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. Pepermans, Guido, 2011. "The value of continuous power supply for Flemish households," Energy Policy, Elsevier, vol. 39(12), pages 7853-7864.
    3. repec:eee:energy:v:142:y:2018:i:c:p:633-646 is not listed on IDEAS
    4. Cappers, Peter & Goldman, Charles & Kathan, David, 2010. "Demand response in U.S. electricity markets: Empirical evidence," Energy, Elsevier, vol. 35(4), pages 1526-1535.
    5. Woo, C.K. & Ho, T. & Zarnikau, J. & Olson, A. & Jones, R. & Chait, M. & Horowitz, I. & Wang, J., 2014. "Electricity-market price and nuclear power plant shutdown: Evidence from California," Energy Policy, Elsevier, vol. 73(C), pages 234-244.
    6. repec:eee:enepol:v:108:y:2017:i:c:p:538-550 is not listed on IDEAS
    7. Woo, C.K. & Ho, T. & Shiu, A. & Cheng, Y.S. & Horowitz, I. & Wang, J., 2014. "Residential outage cost estimation: Hong Kong," Energy Policy, Elsevier, vol. 72(C), pages 204-210.
    8. 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.
    9. Dong, Jun & Xue, Guiyuan & Li, Rong, 2016. "Demand response in China: Regulations, pilot projects and recommendations – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 13-27.
    10. repec:eee:enepol:v:110:y:2017:i:c:p:9-19 is not listed on IDEAS
    11. Chi-Keung Woo, Ira Horowitz, Jay Zarnikau, Jack Moore, Brendan Schneiderman, Tony Ho, and Eric Leung, 2016. "What Moves the Ex Post Variable Profit of Natural-Gas-Fired Generation in California?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    12. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    13. He, Yongxiu & Wang, Bing & Wang, Jianhui & Xiong, Wei & Xia, Tian, 2012. "Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China," Energy, Elsevier, vol. 47(1), pages 230-236.
    14. Takanori Ida & Kayo Murakami & Makoto Tanaka, 2012. "Keys to Smart Home Diffusion: A Stated Preference Analysis of Smart Meters, Photovoltaic Generation, and Electric/Hybrid Vehicles," Discussion papers e-11-011, Graduate School of Economics Project Center, Kyoto University.
    15. Wang, Jianhui & Bloyd, Cary N. & Hu, Zhaoguang & Tan, Zhongfu, 2010. "Demand response in China," Energy, Elsevier, vol. 35(4), pages 1592-1597.
    16. repec:eee:appene:v:212:y:2018:i:c:p:141-150 is not listed on IDEAS
    17. 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.
    18. Greening, Lorna A., 2010. "Demand response resources: Who is responsible for implementation in a deregulated market?," Energy, Elsevier, vol. 35(4), pages 1518-1525.
    19. Faruqui, A. & Hajos, A. & Hledik, R.M. & Newell, S.A., 2010. "Fostering economic demand response in the Midwest ISO," Energy, Elsevier, vol. 35(4), pages 1544-1552.
    20. Woo, C.K. & Li, R. & Shiu, A. & Horowitz, I., 2013. "Residential winter kWh responsiveness under optional time-varying pricing in British Columbia," Applied Energy, Elsevier, vol. 108(C), pages 288-297.
    21. Christoph M. Flath & Sebastian Gottwalt, 2016. "Price-based load coordination revisited: augmenting open-loop coordination approaches," Business Research, Springer;German Academic Association for Business Research, vol. 9(1), pages 157-178, April.

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