Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions

Fan, Junliang; Chen, Baiquan; Wu, Lifeng; Zhang, Fucang; Lu, Xianghui; Xiang, Youzhen

doi:10.1016/j.energy.2017.12.091

Cited by 129 publications

(39 citation statements)

References 40 publications

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“…The quantification of solar radiation (Sr) is performed by measuring instruments such as pyranometers, radiometers, and actinographs (Besharat et al, 2013). However, the direct obtaining of the solar radiation data (Sr) is not always available, since few meteorological stations have records of solar radiation, due to the high costs of the instruments, maintenance, and calibration (Fan et al, 2018a).…”

Section: Introductionmentioning

confidence: 99%

Performance of solar radiation models for obtaining reference evapotranspiration to Santa Maria-RS, Brazil

Boscaini

Robaina

Peiter

et al. 2020

Agraria

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In the absence of observed data from Solar radiation (Sr), it is possible to estimate it using mathematical models. In general, the models vary in degree of complexity and the adjustment coefficients, and these must be calibrated to the place of interest to obtain the best performance. In this regard, the present work aims to evaluate the performance of simplified models of solar radiation in obtaining reference evapotranspiration. The data were obtained from the automatic meteorological station of the National Meteorological Institute (Inmet), located in Santa Maria -RS, Brazil. In the estimates of global solar radiation and its influence on reference evapotranspiration, ten models were evaluated, five models with the coefficients calibrated and five models, with the coefficients determined by the authors. It was observed that all the models studied presented performance index above 0.82, indicating "optimal" performance. Thus, both calibration and non-calibration models to obtain Sr do not interfere with ETo estimation. Therefore, given the impossibility of obtaining Sr data in meteorological stations, it is possible to use any of the models analyzed.Desempenho de modelos de radiação solar para obtenção da evapotranspiração de referência para Santa Maria-RS, Brasil RESUMO: Na ausência de dados observados de Radiação Solar (Rs) é possível estimá-la mediante a utilização de modelos matemáticos. Em geral, os modelos variam em grau de complexidade e nos coeficientes de ajuste, e esses devem ser calibrados para o local de interesse para obtenção do melhor desempenho. Neste sentido, o presente trabalho tem como finalidade avaliar o desempenho de modelos simplificados de radiação solar na obtenção da evapotranspiração de referência. Os dados foram adquiridos junto a estação meteorológica automática do Instituto Nacional de Meteorologia (Inmet), localizada na cidade de Santa Maria -RS. Nas estimativas de radiação solar global e sua influência na evapotranspiração de referência, foram avaliados dez modelos, sendo cinco modelos com os coeficientes calibrados e cinco modelos, com os coeficientes determinados pelos autores. Observou-se que, todos os modelos estudados, apresentaram índice de desempenho acima de 0,82, indicando "ótimo" desempenho. Dessa forma, tanto os modelos com calibração quanto os sem calibração para a obtenção da Rs, não interferem na estimativa da ETo. Sendo assim, dada a impossibilidade de se obter os dados de Rs nas estações meteorológicas, é possível utilizar qualquer um dos modelos analisados. Palavras-chave: temperatura do ar; demanda evaporativa; Penman-Monteith; necessidade hídricaPerformance of solar radiation models for obtaining reference evapotranspiration to Santa Maria-RS, Brazil Rev. Bras. Cienc. Agrar., Recife, v.15, n.1, e7661, 2020 2/8

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Section: Introductionmentioning

confidence: 99%

Performance of solar radiation models for obtaining reference evapotranspiration to Santa Maria-RS, Brazil

Boscaini

Robaina

Peiter

et al. 2020

Agraria

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“…Many modifications to the B-C model have subsequently been made, and most modifications are centered on the adjustment of the coefficients. However, comparative studies suggested that such modifications yielded little improvement [56]. Although the H-S and B-C models are empirically derived, they were based on the theoretical assumption that temperature range is mainly derived by the radiation [57].…”

Section: Introductionmentioning

confidence: 99%

“…Although the H-S and B-C models are empirically derived, they were based on the theoretical assumption that temperature range is mainly derived by the radiation [57]. Many validations showed that the performances of H-S and B-C models and their modifications varied greatly from regions to regions, and the accuracies were affected by the geographic location and local climates [56].…”

Section: Introductionmentioning

confidence: 99%

Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China

Chen

He²,

Yang

et al. 2019

Renewable and Sustainable Energy Reviews

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Global solar radiation is a core component of scientific research and engineering application across a broad spectrum. However, its measurement is limited by a small number of observation stations due to the technical and financial restricts. Estimating solar radiation with the meteorological variables using empirical models is of benefit to obtain solar radiation data at global scale. Yet, there are various options of available empirical models to select the most suitable one. This study conducted a most comprehensive collection and review of empirical models employing the commonly measured meteorological variables and geographic factors. A total of 294 different types of empirical models were collected and classified into 37 groups according to input attributes. Such collection built an empirical model library providing an overall overview of the developed emperical models in literatures. Furthermore, the collected models were calibrated and evaluated at three meteorological stations in the Three Gorges Reservoir area in China. This study suggests that these model-comparing processes can assist the governments, scientists and engineers in tailoring the most fitted model for specific applications and in particular areas.

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“…Evaporation is usually affected by the thermal energy and the vapor pressure gradient, which depends mainly on meteorological parameters. The evaporation from the soils, lakes, and water reservoirs, is one of the most critical processes in meteorological and hydrological sciences [5,6,15,20]. The evaporation from the pan measures the combined weight of the temperature, relative humidity, wind speed, and sunny hours on the evaporation rate from the water surface, and this combination is effective on plant evapotranspiration.…”

Section: Introductionmentioning

confidence: 99%

Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression

Shabani¹,

Samadianfard²,

Sattari³

et al. 2019

Preprint

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Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions

Cited by 129 publications

References 40 publications

Performance of solar radiation models for obtaining reference evapotranspiration to Santa Maria-RS, Brazil

Performance of solar radiation models for obtaining reference evapotranspiration to Santa Maria-RS, Brazil

Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China

Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression

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