DOE OSTI · 1903626
A Physics-Based DNI Model for Advancing Solar Resource Assessment and Forecasting: Preprint
Abstract
Direct Normal Irradiance (DNI) is one of the most used quantities to quantify the magnitude of solar energy resource. The concept of DNI is often interpreted differently for ground measurements and solar forecasting by numerical weather prediction (NWP) models, leading to substantial bias during evaluation of DNI forecasts especially under cloudy-sky conditions. To eliminate the bias, we use the Fast All-sky Radiation Model for Solar applications with DNI (FARMS-DNI) to provide a physics-based solution of solar radiation in the circumsolar region. The FARMS-DNI is implemented in the Weather Research and Forecasting model with solar extensions (WRF-Solar) to forecast day-ahead DNI in the north America. By comparing with conventional predictions from WRF-Solar and satellite observations from the National Solar Radiation Data Base (NSRDB), we found significant improvements in our prediction of DNI.
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Xie, Yu, Yang, Jaemo, Sengupta, Manajit (ORCID:0000000156224503), Liu, Yangang. 2022-12-07. A Physics-Based DNI Model for Advancing Solar Resource Assessment and Forecasting: Preprint. https://www.osti.gov/biblio/1903626
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