Gleanings from the web and the world, condensed for convenience, illustrated for enlightenment, arranged for impact...

The challenge now: To make every day Earth Day.


  • FRIDAY WORLD HEADLINE-This Is How To Beat Climate Change. Now Get To It.
  • FRIDAY WORLD HEADLINE-China To Build World’s Biggest Solar Panel Project
  • FRIDAY WORLD HEADLINE-Europe’s Ocean Wind Boom
  • FRIDAY WORLD HEADLINE-Australia’s Huge Ocean Energy Opportunity


  • TTTA Thursday-How Climate Change Is A Health Insurance Problem
  • TTTA Thursday-World Wind Can Be A Third Of Global Power By 2030
  • TTTA Thursday-First U.S. Solar Sidewalks Installed
  • TTTA Thursday-Looking Ahead At The EV Market

  • ORIGINAL REPORTING: 'The future grid' and aggregated distributed energy resources
  • ORIGINAL REPORTING: Renewable Portfolio Standards offer billions in benefits
  • ORIGINAL REPORTING: Powered by PTC, wind energy expected to keep booming

  • TODAY’S STUDY: On The Way To 100% New Energy In Hawaii
  • QUICK NEWS, October 18: The Lack Of Climate Change In The Election; Trump And Clinton On Climate Change And New Energy; New Energy Keeps Booming

  • TODAY’S STUDY: New Energy For New Urbanists
  • QUICK NEWS, October 17: Chemical Mulitnationals Bet on Climate Solutions; World Wind Gets Bigger; SolarReserve Power Plant Possibilities Rising

  • Weekend Video: High Water Everywhere
  • Weekend Video: Chasing Extreme Weather To Catch Climate Change
  • Weekend Video: Wind Power On The Land
  • --------------------------


    Anne B. Butterfield of Daily Camera and Huffington Post, f is an occasional contributor to NewEnergyNews


    Some of Anne's contributions:

  • Another Tipping Point: US Coal Supply Decline So Real Even West Virginia Concurs (REPORT), November 26, 2013
  • SOLAR FOR ME BUT NOT FOR THEE ~ Xcel's Push to Undermine Rooftop Solar, September 20, 2013
  • NEW BILLS AND NEW BIRDS in Colorado's recent session, May 20, 2013
  • Lies, damned lies and politicians (October 8, 2012)
  • Colorado's Elegant Solution to Fracking (April 23, 2012)
  • Shale Gas: From Geologic Bubble to Economic Bubble (March 15, 2012)
  • Taken for granted no more (February 5, 2012)
  • The Republican clown car circus (January 6, 2012)
  • Twenty-Somethings of Colorado With Skin in the Game (November 22, 2011)
  • Occupy, Xcel, and the Mother of All Cliffs (October 31, 2011)
  • Boulder Can Own Its Power With Distributed Generation (June 7, 2011)
  • The Plunging Cost of Renewables and Boulder's Energy Future (April 19, 2011)
  • Paddling Down the River Denial (January 12, 2011)
  • The Fox (News) That Jumped the Shark (December 16, 2010)
  • Click here for an archive of Butterfield columns


    Some details about NewEnergyNews and the man behind the curtain: Herman K. Trabish, Agua Dulce, CA., Doctor with my hands, Writer with my head, Student of New Energy and Human Experience with my heart




      A tip of the NewEnergyNews cap to Phillip Garcia for crucial assistance in the design implementation of this site. Thanks, Phillip.


    Pay a visit to the HARRY BOYKOFF page at Basketball Reference, sponsored by NewEnergyNews and Oil In Their Blood.

  • ---------------
  • WEEKEND VIDEOS, October 22-23:

  • The Most Unlikely Eco-Warriors Of All Time
  • A New Energy Vision
  • Solutions – Solar
  • Solutions – Wind

    Monday, March 02, 2015


    Deconstructing Solar Photovoltaic Pricing; The Role of Market Structure, Technology, and Policy Kenneth Gillingham, et. al., December 2014 (Lawrence Berkeley National Laboratory, Yale, et. al.)


    Solar photovoltaic (PV) system prices in the United States display considerable heterogeneity both across geographic locations and within a given location. Such heterogeneity may arise due to state and federal policies, differences in market structure, and other factors that influence demand and costs. This paper examines the relative importance of such factors on equilibrium solar PV system prices in the United States using a detailed dataset of roughly 100,000 recent residential and small commercial installations. As expected, we find that PV system prices differ based on characteristics of the systems. More interestingly, we find evidence suggesting that search costs and imperfect competition affect solar PV pricing. Installer density substantially lowers prices, while regions with relatively generous financial incentives for solar PV are associated with higher prices.


    Installations of solar photovoltaic (PV) systems have expanded rapidly over the past decade, with continued growth anticipated over the near- and longer-term. Along with this growth has been a substantial decline in PV system prices. Amid this decline, however, there remains considerable heterogeneity in PV system pricing. For example, among residential and small commercial systems installed in the United States in 2013, roughly 20 percent were sold for less than $3.90/Watt (W), while a similar percentage was priced above $5.60/W.

    Researchers from Yale University, University of Wisconsin—Madison, University of Texas—Austin, and Lawrence Berkeley National Laboratory empirically examined observed heterogeneity in PV prices in the United States. The research explored different plausible sources of price variation, including characteristics of the PV systems and household demographics, as well as measures of installer competition, installer experience, demand for PV, and public policy. A rich dataset of nearly 100,000 PV systems over the 2010-2012 timeframe was analyzed, focusing on systems under 10 kW. Because of the study’s scope, the results may not apply to third-party owned (TPO) PV systems.

    The study finds, not surprisingly, that PV prices differ based on system characteristics. More interestingly, there is evidence that search costs, imperfect competition, installer experience, and public policy all affect solar PV pricing. A greater number of installers in the local market and higher levels of installer experience are both found to lower prices, while regions with relatively generous financial incentives for solar PV are associated with higher prices. By exploring how these factors influence PV prices in the United States, the research sheds light on sources of price variability that may be amenable to policy interventions aimed at facilitating cost reductions.

    Methods and Data

    The approach used in this study follows an extensive literature on price dispersion, and estimates the reduced-form relationship between PV prices and a wide variety of supply and demand factors that may impact those prices. The study relied on LBNL’s sizable Tracking the Sun dataset of system-level PV prices. Additional data were compiled from SEIA/GTM, DSIRE, IREC, and the U.S. Census Bureau. Only system-level installation prices between $1.5/W and $20/W were retained, system size was limited to 1 kW to 10 kW, and only PV systems installed between 2010 and 2012 were included. Appraised-value TPO systems were excluded from the analysis, but other TPO systems for which prices reflect transactions between installers and finance providers were retained. The final sample contains 98,586 PV systems across 14 states.

    Results and Conclusions

    The results demonstrate that a wide variety of factors can and do impact PV system pricing. Even after controlling for many plausible price drivers, however, much of the variation in prices remains unexplained. This suggests that highly installation-specific (unobservable) characteristics, such as the suitability of the roof or the willingness of the consumer to search for a lower price, may impact prices.

    Key findings from the study include:

    • PV system characteristics have a strong influence on pricing: larger PV systems, even within the narrow range of 1 kW to 10 kW, are associated with lower prices per W; tracking, thin-film panels, building integrated panels, and batteries all increase prices; and systems installed as part of new home construction or that were self-installed have lower prices.

    • Installer competition and consumer search costs affect pricing; for example, as the density of installers active in a local market increases, PV system pricing declines.

    • Installer experience and economies of scale at the state and especially at the county level are found to reduce prices, consistent with a large literature on learning-by-doing in new technologies.

    • Policy variables influence prices, as regions with a higher “consumer value of solar,” which accounts for utility bill savings and incentives, tend to experience higher prices; these results may stem from a demand shift due to the higher incentives, or alternatively, may be a symptom of imperfect competition whereby installers are able to “value-price” systems based on consumer willingness to pay.

    • Demographic factors influence prices: greater regional household density and household income increase prices, whereas greater levels of education in the region decrease prices.

    • Factors that increase demand for or willingness to pay for PV, including many noted above and also including the aggregate number of PV systems in the local market, are found to increase system prices.

    These results have several implications for policy:

    • First, they provide a broad view of the factors influencing PV pricing. This overview is important given that price reduction is a stated policy objective.

    • Second, several of the results are directly relevant for policymakers since they may involve market failures or other justifications for government intervention. Government efforts to foster a competitive market for PV, e.g., by encouraging entrants and reducing information search costs, have strong potential to bring down prices. Installer experience is also found to reduce prices. This result is important for forecasting future prices for PV systems, and indicates that efforts to increase deployment—whether publicly or privately funded—are likely to reduce costs.

    • Finally, we find evidence of how policy actions, for example changes to the magnitude of financial incentives offered for PV, may directly influence prices. Attention may therefore be required when designing and evaluating deployment policies aimed at achieving cost reductions, given the potential for such policies to elevate prices in the short-term.


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