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    The DOE Science News Source is a Newswise initiative to promote research news from the Office of Science of the DOE to the public and news media.
    • 2015-07-08 09:00:00
    • Article ID: 636685

    Berkeley Lab Study Finds that Future Deployment of Distributed Solar Hinges on Electricity Rate Design

    Berkeley, CA – Future distributed solar photovoltaic (PV) deployment levels are highly sensitive to retail electricity rate design, according to a newly released report by researchers from the U.S. Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab). The study also explores the feedback effects between retail electricity rates and PV deployment, and suggests that increased solar deployment can lead to changes in PV compensation levels that either accelerate or dampen further deployment.

    “We find that retail rate design can have a dramatic impact on PV deployment levels,” says report author Naïm Darghouth, a researcher in Berkeley Lab’s Energy Technologies Area. “For example, rate design changes currently being considered by a number of utilities, and modeled in our study, can dramatically erode aggregate customer adoption of PV (from -14% to -61%, depending on the design).”

    The report, which uses a solar deployment model originally developed at the National Renewable Energy Laboratory, also examines PV deployment levels under broad adoption of time-of-use rates, purely volumetric rates, feed-in tariffs, and avoided cost-based rates. Most of these scenarios lead to deployment levels lower than under a continuation of net metering and current rate designs.

    The report also considers two potential feedback effects between solar deployment and retail electricity rates. The first, commonly-noted feedback occurs if increased solar deployment leads to under-recovery of utility fixed costs, creating a need to increase retail electricity prices, thereby accelerating solar deployment. A second, less-frequently discussed—and opposing—feedback occurs when increased solar deployment causes a shift in the timing of peak electricity pricing, which tends to dampen solar adoption by customers on time-of-use rates.

    “Our study shows that—at least on a national basis—these two feedback effects largely counteract one another. As such, current discussions that focus largely on the fixed-cost recovery feedback miss an important and opposing feedback mechanism that can in many circumstances moderate the issue of concern,” notes Berkeley Lab’s Ryan Wiser, a co-author on the report.

    Exemplifying these feedbacks are the deployment impacts from switching all customers to time-varying rates. In the shorter term, up to about 2030, the study finds that PV deployment is greater than in the reference scenario – a result of the higher average compensation for PV under time-varying rates which boosts PV deployment. However, as regional PV levels increase and the energy and capacity value of PV drops, the compensation for net-metered PV generation under time-varying rates also falls, which leads to lower PV deployment levels. Therefore, proposals to move towards time-varying rates may boost PV deployment in the shorter term, but may actually reduce PV deployment in the longer term.

    The report was motivated by the fact that rapid growth of net-metered solar PV has provoked concerns about the financial impacts of that growth on utilities and ratepayers. To address these concerns, an increasing number of states are exploring changes to net metering rules, retail rate structures, or both. According to report co-author Galen Barbose, “Understanding the deployment impacts of potential reforms to rate design and net metering will be critical for regulators and other decision makers as they consider changes to retail rates, given the continued role of PV in advancing energy and environmental policy objectives and customer choice. This report makes a unique contribution by quantitatively assessing these possible deployment impacts.”

    The report, Net Metering and Market Feedback Loops: Exploring the Impact of Retail Rate Design on Distributed PV Deployment, may be downloaded at http://emp.lbl.gov/reports/re, along with a factsheet and summary slide deck.

    A webinar presentation of key findings from the report will be held today, July 9, at 11 am Pacific Time (2 pm Eastern Time). To receive log-in instructions for the webinar, register at https://goo.gl/uuLVWa.

    This research was supported by funding from the U.S. Department of Energy’s SunShot Initiative.

    # # #

    The SunShot Initiative is a collaborative national effort that aggressively drives innovation to make solar energy fully cost-competitive with traditional energy sources before the end of the decade. Through SunShot, DOE supports efforts by private companies, universities, and national laboratories to drive down the cost of solar electricity to $0.06 per kilowatt-hour. Learn more at energy.gov/sunshot.

    Lawrence Berkeley National Laboratory addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. For more, visit www.lbl.gov.

    DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.

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    Harvesting Energy from Light using Bio-inspired Artificial Cells

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    Tracing Interstellar Dust Back to the Solar System's Formation

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    Investigating Materials that Can Go the Distance in Fusion Reactors

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    Better 3-D Imaging of Tumors in the Breast with Less Radiation

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    In breast cancer screening, an imaging technique based on nuclear medicine is currently being used as a successful secondary screening tool alongside mammography to improve the accuracy of the diagnosis. Now, a team is hoping to improve this imaging technique.

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