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Our top 3 in 2014
In 2014, we covered a wide range of topics on the Clean Power Research blog, from the differences between solar resource datasets, to deep dives into value of solar calculations. The top three posts of the year followed suit, reflecting interest in topics that address...
Solar forecasting goes “EPIC”
Itron and Clean Power Research are embarking on the next phase of research that will lead to high-fidelity distributed solar photovoltaic (PV) forecasts, and integration of those forecasts into net load forecasts for the California Independent System Operator (ISO)....
U.S. solar trends: 2015 edition
As everyone recovers from their New Year’s Eve festivities, shakes off the cobwebs and gets back to work, it’s time for our annual look at trends and predictions for the coming year. Who knows if we’ll be right, but it’s always fun to prognosticate. Here are the three...
Understanding PV variability: Affects of the 2014 California monsoon
While we all know that the energy production of solar PV systems can vary temporally on the short term (e.g., hourly and daily basis), monthly to annual variability can significantly affect the ongoing status of a developed PV solar asset. For developers and owners of...
Using ground plus satellite solar irradiance data to reduce risk, increase project profitability
If you stopped by the Clean Power Research booth (#118) at the most recent Solar Power International (SPI) Conference in Las Vegas, you would have noticed a tall metal frame supporting some measurement equipment. While this structure could have passed for a new-age...
Three reasons it’s time for utilities to think seriously about distributed solar interconnection
When home and business owners decide to go solar, they embark on an adventure that will require navigation of a multi-step process that includes soliciting and evaluating proposals, determining financing, and applying for permits, incentives and interconnection....
Solar fleet modeling part 3: Balancing the variability of PV
In our previous two posts, we described how to incorporate PV diversity (diversity in both design configuration and geography) in fleet-level modeling, and how to generate high frequency fleet power data with 60-second temporal resolution. In this post, we will show...
Planning for solar part 2: High frequency data
Our previous post discussed how to produce solar PV production profiles for fleets of PV systems. In it we highlighted the importance of including both system diversity (tilt, orientation, shading, etc.), and geographical diversity (system locations and relative...
Planning for solar part 1: Solar fleet modeling
With the proliferation of grid-connected solar—whether from a few large, utility-scale systems, or from thousands of small, behind-the-meter systems—utilities are grappling with integration of these distributed, variable power generation resources. Over the next three...
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