Paper
20 August 2009 Empirical and analytical predictive models for a novel medium-concentration CPV system
Marc Finot, Matt Kilkenny, Mehrdad Roosta, Eric Johnson, Khiem Do
Author Affiliations +
Abstract
Skyline Solar has developed a novel Concentrated Photovoltaic (CPV) architecture design called High Gain Solar based on a reflective trough design with optimized Si panels. This design provides a distinct separation between the functionality of key components enabling parallel development and optimization as well as very rapid deployment. A predictive tool has been developed to link component characteristics to overall energy production to accurately predict the performance and degradation of the system in time, as a function of weather patterns and system architecture. This predictive tool is based on empirical and analytical models combining accelerated stress tests, on-sun performance tests, finite element analysis and manufacturing variability analyses.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marc Finot, Matt Kilkenny, Mehrdad Roosta, Eric Johnson, and Khiem Do "Empirical and analytical predictive models for a novel medium-concentration CPV system", Proc. SPIE 7407, High and Low Concentrator Systems for Solar Electric Applications IV, 74070H (20 August 2009); https://doi.org/10.1117/12.826758
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Cited by 1 scholarly publication.
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KEYWORDS
Solar energy

Reflectivity

Wind energy

Performance modeling

Systems modeling

Brain-machine interfaces

Silicon

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