 Variability index of solar resource based on data from surface and satelliteVinicius Roggério da Rocha, Rodrigo Santos Costa, Fernando Ramos Martins, André Rodrigues Gonçalves and Enio Bueno Pereira Renewable Energy, 2022, vol. 201, issue P1, 354-378 Abstract: Characterizing solar resource variability is paramount for its thermal and photovoltaic applications. Cloudiness is the main parameter that modulates both the intensity and frequency of variations in solar irradiance on the ground surface. This work introduces an objective index to quantify the temporal variability of the incoming solar irradiance on the surface, defined as Cloudless Percentage Days (CPD). This index accounts for the number of days classified as clear and stable (i.e., high clearness coefficient and decreased frequency of ramps of incoming solar irradiance). Two methods were developed to quantify CPD, the first based on ground measurements and the other based on satellite data. This work compares the results achieved with the two methods to understand their consistency. Monthly and annual maps were drawn for the Brazilian territory characterizing solar resource variability. Keywords: Downward surface solar irradiance; Intra-day variability; Intermittency (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:201:y:2022:i:p1:p:354-378 DOI: 10.1016/j.renene.2022.10.093 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.