Solar Prediction Archives - Page 10 of 18

MN Solar Pathways: Illuminating pathways to 10% solar

Morgan Putnam | Apr 13, 2017

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...

What is the value of accurate solar forecasting for utility-scale PV plants?

Skip Dise | Mar 8, 2017

The importance and source of solar forecasting With an increasing number of installed utility-scale PV plants and a growing need for predictable energy generation, the solar industry has started paying attention to solar forecasting. The reasons behind this are: Solar...

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

Richard Perez | Jan 5, 2017

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)...

How to reduce demand charges using solar forecasts

Alex Kubiniec | Nov 2, 2016

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...

The Future of the NREL Solar Prospector and Public Solar Data

Skip Dise | Oct 3, 2016

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

Ann Gaglioti | Sep 14, 2016

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...

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