Presenter(s)
Davis A Urena
Files
Download Project (330 KB)
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
Recommended Citation
"Mirror-Augmented Solar Irradiance using meteorological data for applications" (2017). Stander Symposium Projects. 1078.
https://ecommons.udayton.edu/stander_posters/1078
![Mirror-Augmented Solar Irradiance using meteorological data for applications](https://ecommons.udayton.edu/stander_posters/2078/thumbnail.jpg)