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The Future of the NREL Solar Prospector and Public Solar Data
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...
Observational MET programs reduce uncertainty
This week, we're pleased to present a post from GroundWork® Renewables' CEO Ann Gaglioti. Measuring irradiance data in the field reduces the uncertainty of the energy production assessment and results in a measurable return on investment during project financing. In...
Quantifying day-ahead solar energy forecast uncertainty
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...
Version control: Your bankable signpost in a digital world
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...
Producing perfect PV fleet forecasts – at what cost?
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...
Can ISOs rely on PV fleet forecasts?
PV fleet forecasts Solar forecasts are traditionally concerned with predicting the output of solar PV systems at particular locations. Consequently, much of what is known about solar forecast accuracy is centered on point validations. Fleet forecasts consider the...
How to validate PV fleet forecast accuracy when you cannot directly measure it
The capacity of behind-the-meter PV systems is growing steadily. Figure 1 illustrates that there is over 5 GW of PV in California alone. The number is continuing to increase. The result is that behind-the-meter PV fleet forecasts are becoming increasingly important...
Infographic: Five factors defining bankable solar irradiance data
Bankable solar irradiance data is crucial to minimizing cost of capital for solar projects. Check out this infographic to find out what you need to know when selecting resource data. Want to see the infographic in full size? Download it now:Learn more about...
Quantifying the “variability” in variable solar energy forecasts
Utilities and grid operators need to procure and provide generation sources for anticipated load demands. As both grid connected and behind-the-meter photovoltaic (PV) systems continue to grow in number, total system load, including the load being served by solar, is...