Industry leaders adopting Clean Power Research solutions

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At Clean Power Research, we like to think of ourselves as a small company doing big work. I reflected on this recently when I came across a list of the top 10 U.S. utilities (ranked by market capitalization, see Fig. 1) and noticed that 7 of the 10 were current…

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Attention DER/PV interconnection teams: Your system planners are relying on you!

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Recently I spoke with two very large investor owned utilities (IOUs) that are trying to backfill information for thousands and in some cases tens-of-thousands of PV systems located in their service territories. In other words, these system planners do not have equipment specifications for distributed energy resources (DERs) on their…

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Evidence of satellite-truth when comparing to ground irradiance measurements

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Troubleshooting ground measurements with satellite irradiance data We recently reported how the use of SolarAnywhere® Data made it possible for us to detect an unreported irradiance sensor calibration issue at one of the nation’s most trusted reference stations: the SURFRAD station of Fort Peck, Montana. We also reported in a…

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MN Solar Pathways: Illuminating pathways to 10% solar

On March 30, 2017, the Minnesota Department of Commerce along with its core team, kicked off its Department of Energy-funded MN Solar Pathways project aimed at finding the least-risk, best-value solutions for MN to achieve its solar energy goals. Clean Power Research is a member of the core team, which also…

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SolarAnywhere detects calibration error in nation’s most trusted ground site

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How accurate are SolarAnywhere® irradiance data? They are accurate enough to identify an undetected calibration error at one of the nation’s most trusted ground truth stations. Figure 1 presents Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI) measured at the Fort Peck, Montana SURFRAD station and satellite-based SolarAnywhere GHI…

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How to reduce demand charges using solar forecasts

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The challenge is well-known by commercial building owners and PV project developers: on site solar PV generation offers excellent energy savings to commercial customers but can result in unreliable demand charge reduction benefits.  Through a recent DOE funded demonstration project, Clean Power Research and EdgePower demonstrated how use of commercial…

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The Future of the NREL Solar Prospector and Public Solar Data

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Solar Prospector Sunsetting As many of you have heard, the National Renewable Energy Laboratory (NREL) will be sunsetting the Solar Prospector tool. The Solar Prospector tool was last updated in 2012 by NREL and its purpose was to provide mapping and data analysis in support of solar project development across…

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Quantifying day-ahead solar energy forecast uncertainty

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Solar resource variability is an unavoidable natural characteristic that impacts solar power forecasting. However, its impact on forecast uncertainty can be reduced by providing information on predictive uncertainty, along with deterministic forecast values. Having this information can help utilities, independent power producers and grid operators minimize the risk associated with…

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Version control: Your bankable signpost in a digital world

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If you own an iPhone, you’ve seen the familiar message “iOS 9.3.3 is available for your iPhone and is ready to install.” If you’re like me, you hit “Remind me later” a few dozen times before you actually install the update. Call me paranoid, but I always have to take…

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Producing perfect PV fleet forecasts – at what cost?

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In our last blog, we talked about the performance of SolarAnywhere® v4 PV fleet forecasts, and discussed how accuracy was a function of the PV fleet’s geographic footprint. For instance, SolarAnywhere hour-ahead forecasts in the Western U.S. were shown to have a capacity-normalized mean absolute error (MAE) of 3.5% for a…

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