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Net metering and market feedback loops: Exploring the impact of retail rate design on distributed PV deployment

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  • Darghouth, Naïm R.
  • Wiser, Ryan H.
  • Barbose, Galen
  • Mills, Andrew D.

Abstract

The substantial increase in deployment of customer-sited solar photovoltaics (PV) in the United States has been driven by a combination of steeply declining costs, financing innovations, and supportive policies. Among those supportive policies is net metering, which in most states effectively allows customers to receive compensation for distributed PV generation at the full retail electricity price. The current design of retail electricity rates and the presence of net metering have elicited concerns that the possible under-recovery of fixed utility costs from PV system owners may lead to a feedback loop of increasing retail prices that accelerate PV adoption and further rate increases. However, a separate and opposing feedback loop could offset this effect: increased PV deployment may lead to a shift in the timing of peak-period electricity prices that could reduce the bill savings received under net metering where time-varying retail electricity rates are used, thereby dampening further PV adoption. In this paper, we examine the impacts of these two competing feedback dynamics on U.S. distributed PV deployment through 2050 for both residential and commercial customers, across states. Our results indicate that, at the aggregate national level, the two feedback effects nearly offset one another and therefore produce a modest net effect, although their magnitude and direction vary by customer segment and by state. We also model aggregate PV deployment trends under various rate designs and net-metering rules, accounting for feedback dynamics. Our results demonstrate that future adoption of distributed PV is highly sensitive to retail rate structures. Whereas flat, time-invariant rates with net metering lead to higher aggregate national deployment levels than the current mix of rate structures (+5% in 2050), rate structures with higher monthly fixed customer charges or PV compensation at levels lower than the full retail rate can dramatically erode aggregate customer adoption of PV (from −14% to −61%, depending on the design). Moving towards time-varying rates, on the other hand, accelerates near- and medium-term deployment (through 2030) but slows adoption in the longer term (−22% in 2050).

Suggested Citation

  • Darghouth, Naïm R. & Wiser, Ryan H. & Barbose, Galen & Mills, Andrew D., 2016. "Net metering and market feedback loops: Exploring the impact of retail rate design on distributed PV deployment," Applied Energy, Elsevier, vol. 162(C), pages 713-722.
    • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:713-722
    DOI: 10.1016/j.apenergy.2015.10.120
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    References listed on IDEAS

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    1. Ratnam, Elizabeth L. & Weller, Steven R. & Kellett, Christopher M., 2015. "An optimization-based approach to scheduling residential battery storage with solar PV: Assessing customer benefit," Renewable Energy, Elsevier, vol. 75(C), pages 123-134.
    2. 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.
    3. Eid, Cherrelle & Reneses Guillén, Javier & Frías Marín, Pablo & Hakvoort, Rudi, 2014. "The economic effect of electricity net-metering with solar PV: Consequences for network cost recovery, cross subsidies and policy objectives," Energy Policy, Elsevier, vol. 75(C), pages 244-254.
    4. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    5. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    6. Nottrott, A. & Kleissl, J. & Washom, B., 2013. "Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems," Renewable Energy, Elsevier, vol. 55(C), pages 230-240.
    7. Mills, Andrew & Wiser, Ryan & Barbose, Galen & Golove, William, 2008. "The impact of retail rate structures on the economics of commercial photovoltaic systems in California," Energy Policy, Elsevier, vol. 36(9), pages 3266-3277, September.
    8. Lion Hirth, 2013. "The Market Value of Variable Renewables. The Effect of Solar and Wind Power Variability on their Relative Price," RSCAS Working Papers 2013/36, European University Institute.
    9. 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.
    10. Mills, Andrew D. & Wiser, Ryan H., 2015. "Strategies to mitigate declines in the economic value of wind and solar at high penetration in California," Applied Energy, Elsevier, vol. 147(C), pages 269-278.
    11. Cai, Desmond W.H. & Adlakha, Sachin & Low, Steven H. & De Martini, Paul & Mani Chandy, K., 2013. "Impact of residential PV adoption on Retail Electricity Rates," Energy Policy, Elsevier, vol. 62(C), pages 830-843.
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