Search

Your search keyword '"Xie, Yu"' showing total 2 results
Start Over Author "Xie, Yu" Region america
2 results on '"Xie, Yu"'

1. The impact of circumsolar diffuse radiation on the numerical computation and forecasting of DNI.

Author

Xie, Yu, Yang, Jaemo, Sengupta, Manajit, and Liu, Yangang

Subjects
*PHOTOSYNTHETICALLY active radiation (PAR), *RADIATIVE transfer, *SOLAR radiation, *RADIATION, *METEOROLOGICAL research, *WEATHER forecasting
Abstract

Weather Research and Forecasting model with solar extensions (WRF-Solar) uses the Fast All-sky Radiation Model for Solar applications (FARMS) to predict solar radiation from the forecasted atmospheric gases, aerosols, and clouds. The Beer-Bouguer-Lambert law utilized by FARMS as well as other radiative transfer models assumes Direct Normal Irradiance (DNI) is a narrow beam only covering the sun disk. This assumption is interpreted differently in solar observations by pyrheliometers where the circumsolar diffuse radiation is accounted. This study precisely computes circumsolar diffuse radiation in all-sky conditions using a radiative transfer model based on a parameterization of precomputed cloud transmittance and reflectance. The model is implemented in WRF-Solar to provide day-ahead DNI forecast in the north America. The computation and forecasting of DNI is compared with the Beer-Bouguer-Lambert law to understand the impact of circumsolar diffuse radiation. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

2. Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017).

Author

Habte, Aron, Sengupta, Manajit, Gueymard, Christian, Golnas, Anastasios, and Xie, Yu

Subjects
*SOLAR oscillations, *SOLAR radiation, *CONUS, *PIXELS, *SOLAR energy
Abstract

The study assesses the long-term spatial and temporal solar resource variability in America using the 20-year National Renewable Energy Laboratory's (NREL's) National Solar Radiation Database (NSRDB). The coefficient of variation (COV) is used to analyze the spatial and temporal (interannual and seasonal) variability. Further, both spatial and temporal long-term variability are analyzed using the Köppen-Geiger climate classification. The temporal variability is found that, on average, the continental United States (CONUS) COV reaches up to 5% for global horizontal irradiance (GHI) and 10% for direct normal irradiance (DNI), and that the NSRDB domain's COV is roughly twice that of CONUS. For the seasonal variability analysis, the winter months are found to exhibit higher COV than the other seasons. In particular, December exhibits the highest variability, reaching on average 30% for DNI and 20% for GHI over various areas. On the other hand, the summer months demonstrate significantly lower variability, reaching only less than 20% for DNI and 10% for GHI, on average. Similarly, the spatial variability is analyzed by comparing each pixel to its neighbors. The long-term spatial variability is found to increase with the number of neighboring pixels being considered, which is equivalent to an increase in distance (within a 100-km x 100-km square grid). As expected, the DNI spatial variability is higher than that of GHI. Moreover, the annual solar irradiance anomalies are found to reach ±25% for both GHI and DNI (and even exceed those value in some instances) during each year of the 20-year period. • The NSRDB's 20-year satellite-based solar resource database is used over America. • The spatiotemporal variability in both DNI and GHI is studied. • Spatial variability is analyzed over an area of 100 × 100 km around each 4 × 4 km pixel. • Interannual variability and annual anomalies are analyzed during the 20-year record. • Köppen-Geiger climate zoning is used for additional insight at regional scale. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results