Empirical and analytical predictive models for a novel medium-concentration CPV system

Marc Finot; Matt Kilkenny; Mehrdad Roosta; Eric Johnson; Khiem Do

doi:10.1117/12.826758

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

Proceedings Volume 7407, High and Low Concentrator Systems for Solar Electric Applications IV; 74070H (2009) https://doi.org/10.1117/12.826758
Event: SPIE Solar Energy + Technology, 2009, San Diego, California, United States

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.

Citation Download Citation

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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