Presenter(s)

    Davis A Urena

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    Description

    Mirror augmentation for increased irradiance on tilted surfaces has been studied in previous literature using illumination and ray tracing software. These simulations are not based on typical meteorological data, and hence do not capture the weather-driven variation in solar radiation. This limits their applicability for predicting performance of real mirror augmented applications. This project describes algorithms for predicting mirror augmented solar radiation using readily available meteorological data. The algorithms have been incorporated into software to calculate the irradiance distribution on a tilted surface with mirror augmentation. The code is validated through comparisons with published ray tracing and experimental results. The code is used to perform parametric analyses that explore the effect on performance of mirror length, width, angle and other effects.

    Publication Date

    4-5-2017

    Project Designation

    Graduate Research - Graduate

    Primary Advisor

    J Kelly Kissock

    Primary Advisor's Department

    Mechanical and Aerospace Engineering

    Keywords

    Stander Symposium project

    Mirror-Augmented Solar Irradiance using meteorological data for applications

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