Métodos para estimar radiação solar na região noroeste de Minas Gerais

Silva, Valdiney José da; Silva, Cláudio Ricardo da; Finzi, Rafael Resende; Dias, Nildo da Silva

doi:10.1590/s0103-84782012000200015

Cited by 3 publications

(12 citation statements)

References 15 publications

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“…Global solar radiation (H s ) directly influences the physical, chemical, and biological processes that occur in the biosphere atmosphere [1]. Spatial, temporal, and seasonal variations in H s influence planning and decision-making activities related to many fields, such as the energy, hydrological, environmental, agricultural, and meteorological areas [2][3][4]. e H s is an important input variable for developing thermal and photovoltaic energy systems, estimating evapotranspiration, dimensioning water demand for irrigation in agriculture, agroclimatic zoning, or simulating growth models for crop yield, harvesting, and projecting sustainable buildings, not to mention studying climate change [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Although H s is an important variable, recorded data have been restricted to automatic weather stations (AWSs) [1,3,8], and the number of AWSs capable of registering these data has fallen due to the high costs associated with acquiring, maintaining, and calibrating the instruments [9][10][11][12]. Furthermore, when H s is available in the AWS, it does not present a long time series [13].…”

Section: Introductionmentioning

confidence: 99%

“…ere are many existing EMs, which differ in both their complexity and the input variables considered [1,3,5,16].…”

Section: Introductionmentioning

confidence: 99%

“…In MG, there are scarce works of this nature, and the few existing ones were made to the locality in Lavras [32], the metropolitan, Zona da Mata, and Vale do Rio Doce regions [16], and the northwest of MG [3], where only the category of EM based on air temperature and precipitation was used [3,16,32,33]. ese few studies [3,16,32] present some negative points such as short and insufficient temporal series for a good fit (1-2 years only), no model validation been performed, and models that consider only average air temperature and precipitation data, in addition to the lack of information with regard to the model fit time scale. Additionally, MG is a state that deserves special attention since it has a large land area (586,521,235 km 2 ), is the 4 th largest state in Brazil, is the 2 nd most populous state with 20,997,560 inhabitants, and contributes greatly to the Brazilian economy with diversified agricultural production [34] making it one of the largest producers in the country.…”

Section: Introductionmentioning

confidence: 99%

“…erefore, reliable estimation of H s is important and necessary, i.e., for the operation of solar-powered pump station systems, lift irrigation projects, and potential crop yield [4] in the MG state [3,5,16]. But due to the scarcity of studies of this nature in MG, the aim of this study was to evaluate the fitting and validation of a series of daily H s , which include as input data the air temperature, precipitation, and sunshine duration, and group the performance of these models with the climatic conditions of Minas Gerais, Southeastern Brazil (SEB) ( Figure 1).…”

Section: Introductionmentioning

confidence: 99%

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Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Monteiro

Martins

2019

Advances in Meteorology

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Accurate and complete global solar radiation (Hs) data at a specific region are crucial for regional climate assessment, crop growth modeling, and all operations that use solar energy. However, in the Minas Gerais state, Southeastern Brazil (SEB), the number of weather stations that measure global solar radiation is scarce, and when it is available, it presents gaps in the time series. An attractive alternative to solve the data gap problem is to estimate global solar radiation using empirical models. In this study, thirteen models based on maximum and minimum air temperatures, precipitation, sunshine duration, and extraterrestrial solar radiation were compared in the daily estimation of Hs. Data from 10 weather stations, from 1999 to 2017, located in Minas Gerais were used. Also, cluster analysis was used to group the localities (weather stations) with similar patterns of model performance, climatic classification (Köppen–Geiger and Thornthwaite), and seasonal data variability, considering minimum and maximum air temperatures, precipitation, sunshine duration, and global solar radiation. Although it is apparently simple, studies on this subject are scarce and the few existing ones in Minas Gerais have flaws, which justifies this study. The models were evaluated by root mean square error (RMSE), mean absolute percentage error (MAPE), mean bias error (BIAS), Willmott’s index of agreement (d), and performance index (c-index). Models based on sunshine duration, such as those proposed by Ertekin and Yaldiz and by Newland, showed the best performance (average c-index = 0.71). Models based on temperature and precipitation showed the worst results (average c-index = 0.41). Cluster analysis showed that there is a similar pattern between the performance of the models, climatic classification, and seasonal variability of data among the localities of Minas Gerais. In general, models that presented extremely poor performance were formed with weather stations located in the dry zone, but with different climate classification, and models that presented very good (and good) performance were composed by weather stations located in the humid zone (dry subhumid) with the same climate classification and similar seasonal variability. Furthermore, the models based on temperature have a tendency to overestimate radiation values below 10 MJ·m−2 day−1 and to underestimate values higher than 25 MJ·m−2 day−1. This point is a limitation of the model for estimating global solar radiation below and above these levels, showing the influence of atmospheric systems and atmospheric attenuation mechanisms of global solar radiation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…ere are many existing EMs, which differ in both their complexity and the input variables considered [1,3,5,16].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Monteiro

Martins

2019

Advances in Meteorology

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An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil

et al. 2023

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Determinación y análisis temporal de la radiación solar global en el Altiplano de Puno

Huamán

Alzamora

2022

Ingeniare. Rev. chil. ing.

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El sol proporciona una fuente estable y confortable de calor, luz y es la fuente central de energía renovable. Su estudio es vital para evaluar su disponibilidad y utilidad en diversas aplicaciones para establecer recursos de energía solar utilizando energía limpia y gratuita. Este trabajo analiza la disponibilidad de radiación solar global en tres zonas ecológicas del altiplano de Puno como Circunlacustre, Puna Húmeda y Clima de Altura; involucrando catorce estaciones meteorológicas del SENAMHI desde 2007 al 2013. El modelo utilizado es el de Bristow y Campbell, que es simple, confiable y efectivo, y utiliza datos que se encuentran fácilmente en las estaciones meteorológicas. Como resultado, se ha encontrado una correlación de 0,938, entre la radiación solar global estimada y medida, además, se ha observado que la radiación solar global tiene comportamientos estacionales durante los años analizados. Posteriormente, se obtuvieron los promedios anuales máximos y mínimos de las zonas evaluadas. Los valores son 6,342 y 5,481; 6,783 y 5,908; 7,298 y 5,945 kWh.m -2 .dia -1 , respectivamente. Se concluye que los resultados en el área de estudio son apropiados y muy rentables para aplicaciones de energía solar debido a que son superiores a 4,000 kWh.m -2 .dia -1 en el período analizado. Finalmente, se busca que la radiación solar global se transforme en energía térmica y eléctrica, para ayudar a solucionar problemas como las heladas,

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Métodos para estimar radiação solar na região noroeste de Minas Gerais

Abstract: ABSTRACT

Cited by 3 publications

References 15 publications

Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil

Determinación y análisis temporal de la radiación solar global en el Altiplano de Puno

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