Empirical sunshine-based models vs online estimators for solar resources. (October 2022)

• Record Type: Journal Article
• Authors: Paulescu, Marius; Badescu, Viorel; Budea, Sanda; Dumitrescu, Alexandru
• Is Part Of: Renewable & sustainable energy reviews. Volume 168(2022)
• Publication Date: 2022-10
• Subjects: Solar resource -- Reanalysis product -- Ground measured data -- Ångström-prescott equation -- Performance assessment; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2022.112868
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: Monthly averaged daily global solar irradiation data collected from four online platforms (NASA POWER, MERRA2, ERA5 and CAMS) are compared with ground measured data retrieved from World Radiation Data Center and Baseline Surface Radiation Network. Similarly, monthly averaged daily global solar irradiation estimated by five different Ångström-Prescott-type equations have been compared with the same ground measured data. The accuracy of the online platforms and Ångström – Prescott equations, respectively, is largely comparable, although some differences are noticed. Both the platforms and the Ångström-Prescott equations are sensitive to climates. A tendency of the Ångström-Prescott equations to exceed the platforms performance in the tropical and continental climates was noticed. Without exception the platforms and models perform better in summer than in winter. No Ångström – Prescott equation outperforms the platforms during all seasons, and, mutually, no platform outperforms the Ångström – Prescott equations during all seasons. Highlights: Solar resource estimates from online platforms and empirical models are compared. The platforms and Ångström–Prescott equation are in a tight competition. Climate and season sensitivity is evaluated. Results are helpful for choosing a particular database in solar engineering.