Assessing one-minute diffuse fraction models based on worldwide climate features. (November 2021)

• Record Type: Journal Article
• Authors: Starke, Allan R.; Lemos, Leonardo F.L.; Barni, Cristian M.; Machado, Rubinei D.; Cardemil, José M.; Boland, John; Colle, Sergio
• Is Part Of: Renewable energy. Volume 177(2021)
• Page Start: 700
• Page End: 714
• Publication Date: 2021-11
• Subjects: Diffuse fraction model -- One-minute data -- Cloud enhancement -- Köppen-Geiger climate classification -- BSRN -- Robust statistics; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2021.05.108
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Despite the variety of irradiance separation models available in the literature, there is not yet a model that performs equally well for every location worldwide. Nevertheless, separation models still represent an interesting approach when only global irradiance is measured. This work presents further developments of the recently proposed Boland-Ridley-Lauret minute model and proposes 1-min diffuse fraction models for each climate zone in the globe. To accomplish this, 1-min worldwide irradiance data from 51 the Baseline Surface Rresearch Network stations and one from Australian Bureau of Meteorology were used. The Köppen-Geiger classification was used to determine the climate zone of each station: both the simple climate classification (A, B, C, D, E) and the complete classification (Aw, Bsh, etc.). Furthermore, a robust nonlinear regression method was used to build the separation models without removing measurement outliers in advance. The climate-specific models proposed herein present better performance than other models from the literature, such as the BRL, Perez and Skartveit models (developed using hourly irradiance data) and the Engerer model (developed using minute data). Generally, the models proposed for climate zones in the complete Köppen classification presented better similitude with the measured data than the models for the simple classification, especially for stations within climate zones B and E. Graphical abstract: Image 1 Highlights: Further developments of the recently proposed BRL-minute model. Models proposed for each climate type in the Köppen-Geiger classification. Models developed using 1-min data, able to describe cloud enhancement phenomena. Proposed models perform better than other models from the literature.