Solar ASE: the All-Seeing Eye

In collaboration with Dr. George Young (Penn State Dept. of Meteorology and Atmospheric Science) and our Dr. Vivek Srikrishnan, our team has confirmed the viability of a new form of solar resource monitoring technology: a 5x multipyranometer array trained with an Artificial Neural Network to extract the anisotropy of the solar resource (beam irradiance, diffuse sky irradiance, and ground diffuse irradiance components) for any oriented surface.

The Solar ASE system–where “ASE” has been abbreviated from the All-Seeing Eye (yes, several of us are Tolkien fans…)–greatly reduces measurement errors over standard empirical correlations used throughout the solar industry today, verified in Golden, CO by our team. Existing empirical solar irradiance models that decouple compenents of light will estimate the beam component (or direct) of solar light with 20-30% error from that of true pyherliometer measured data. The tested ASE system offers estimates with <10% error. Under snowy conditions, existing empirical solar irradiance models are even worse, with 48% error, while the ASE still presents 15%.

The ASE system will ultimately be valued to society for solar photovoltaics, agriculture such as grape productivity for wine, and smart building controls. In addition by substituting the ASE for pyrheliometer devices, we hope to reduce systems costs by an order of magnitude, from $20,000-$30,000 per system to well below $1000. All efforts have been made to embrace an open-source approach to developing the ASE system, in order to maximize the viral dispersion of such an important and transformative technology. Both Undergraduates and Graduate students have been involved in the next stage of deployment, supported by the 2015 PSIEE Seed Grant funds.

Frey Brownson, PhD

Jeffrey Brownson (Frey) is a queer solar expert, visual artist, Penn State professor, and industry consultant. Haunting the halls of academia. Partner, Queer Dad, Enby Artist, Photon Wrangler.

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