Energy, Climate, & Infrastructure Security (ECIS)

Solar Newsletter

PV Paper Published in IEEE Transactions on Sustainable Energy

Sandians Mathew Lave and Joshua Stein ( both in the Photovoltaics and Distributed Systems Dept.) along with Jan Kleissl (University of California–San Diego) published “A Wavelet-Based Variability Model (WVM) for Solar PV Power Plants” in the April 2013 IEEE Transactions issue. (Matthew Lave was a Sandia student intern when this work was being done and [...]

Sandia Workers Received Entrepreneurial Spirit Awards

Jim Pacheco (now in the Active Response and Denial Dept.) received an Entrepreneurial Spirit Award for his participation in Sandia’s Entrepreneurial Separation to Transfer Technology (ESTT) program, which encourages researchers to take jobs at startup or expanding businesses. ESTT was started in 1994, and since then 144 Sandia employees have left the labs, 57 of [...]

Sandians Joshua Stein and Bruce King Published in Photovoltaics International

The wide variety of PV system technologies and designs, site conditions, and operations strategies means that complex PV system performance models are needed to represent PV plant performance. While PV component and system costs are rapidly falling, the upfront costs of PV (before any energy is generated) remain high. Stein & King’s (both in the [...]

Release of Version 1.1 of the PV_LIB Toolbox for Matlab

The PV Performance Modeling Collaborative (PVPMC) recently released version 1.1 of the PV_LIB Toolbox for Matlab. The new version includes important bug fixes and many new and useful functions, including support for the single diode module model, clear sky irradiance models, incident angle modifier models and more! Sandia facilitates the PVPMC, a group of over [...]

Sandia Offers Approach to Help Utilities Understand Effects of PV Variability on the Grid

A report released recently by Sandia National Laboratories, the Electric Power Research Institute (EPRI), and the Georgia Institute of Technology provides a unique approach to help utilities assess the potential effects of high levels of solar photovoltaic (PV) systems on the grid. “Time Series Power Flow Analysis for Distribution Connected PV Generation” demonstrates how quasi-static [...]

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