Comparative Study of 16 Clear-Sky Radiative Transfer Models to Estimate Direct Normal Irradiance (DNI) in Botucatu, Brazil
| Autor: | João Francisco Escobedo, Maurício Bruno Prado da Silva, Eduardo Gomes, Razika Ihaddadene, Cícero Manoel dos Santos, Amaury de Souza |
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| Přispěvatelé: | Universidade Federal do Pará (UFPA), Universidade Estadual Paulista (Unesp), Federal University of Mato Grosso do Sul, University of M'Sila |
| Rok vydání: | 2020 |
| Předmět: |
Atmospheric pollution
Renewable Energy Sustainability and the Environment 020209 energy media_common.quotation_subject Direct normal irradiance Parametric models Energy Engineering and Power Technology 02 engineering and technology Atmospheric sciences 020401 chemical engineering Statistical analysis Thermal radiation Sky Direct irradiance incidence 0202 electrical engineering electronic engineering information engineering Radiative transfer Environmental science Frequency distribution 0204 chemical engineering Cumulative distribution media_common |
| Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| ISSN: | 1528-8986 0199-6231 |
| Popis: | Made available in DSpace on 2021-06-25T11:11:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-06-01 The interest of the direct normal irradiation (DNI) estimation is important in the evaluation of the solar potential and, consequently, for data correction and expansion of the historical series. In this study, a review of the performance of 16 models of radiative transfer was performed. These models are used to estimate DNI on a clear day in Botucatu/SP region located in Brazil. The revised models are categorized into two classes: simple models (11 models: ASH, MAJ, ALLEN, GH, P1, HLJ, FU, KU, H1, IP, and INC) and complex models (five models: BIRD, IQ, MRM5, P2, and YANG). The evaluation methodology used here is consistent with the literature. The input parameters were estimated and a statistical analysis using relative-mean-bias-error (rMBE), root-mean-square-error (rRMSE), and mean absolute percentage error (MAPE) indicators were performed to validate those models. The results indicate that the complex models (that require more atmospheric inputs) generally performed better than simpler models. Despite the consistent limitations in the use of estimated parameters, the performance of the models can be considered satisfactory. The best performances are highlighted for models MRM5 and YANG. Simple models ASH and IP performed similar to complex models. These results were confirmed using frequency distribution and the cumulative frequency analysis. These results are important for engineers of solar systems to use the best model and select the most suitable locations for installing a small or large solar plant. Faculty of Agronomic Engineering UFPA, Rua 9 Coronel Jose Porfırio, n° 2515 Saõ Paulo State University UNESP Federal University of Mato Grosso do Sul Department of Mechanical Engineering University of M'Sila Saõ Paulo State University-UNESP Saõ Paulo State University UNESP Saõ Paulo State University-UNESP |
| Databáze: | OpenAIRE |
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