Uncertainty Quantification of Bifacial Performance Modeling

Prilliman, Matthew; Keith, Janine M. Freeman

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DOE OSTI · 1873878

Uncertainty Quantification of Bifacial Performance Modeling

Prilliman, Matthew·Keith, Janine M. Freeman

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Abstract

Analysis on uncertainty in the annual energy of PV systems that can be attributed to parameters of particular importance to bifacial PV modules is presented. Monte Carlo simulations are used to evaluate the effect of uncertain module bifaciality factors, module transmission fractions, albedo values, and ground clearance. The analyses cover a wide spectrum of potential PV array archetypes through variation of installation parameters. The results of the Monte Carlo analysis reveal that the uncertainty is largely dependent on albedo uncertainty, but more simulations are needed to identify trends across system archetypes. The simulations are aimed at attributing an annual energy uncertainty factor for bifacial considerations that can be applied in post-processing of project probability of exceedance analysis.

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Prilliman, Matthew, Keith, Janine M. Freeman. 2022-06-20. Uncertainty Quantification of Bifacial Performance Modeling. https://www.osti.gov/biblio/1873878

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