A general model for estimation of daily global solar radiation using air temperatures and site geographic parameters in Southwest China

Li, Mao-Fen; Fan, Lei; Liu, Hongbin; Guo, Ping; Wu, Wei

doi:10.1016/j.jastp.2012.11.001

Cited by 56 publications

(19 citation statements)

References 34 publications

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“…The coefficients of both sunshine-and temperature-based models vary more greatly than those reported on the plain regions e.g., [30,41,42,44,49,50], and the coefficients of the highly rated Ångström and Bristow models deserved to be discussed in more detail. The coefficients a and b of the Ångström model change considerably between stations at higher altitude compared to those at lower elevations (Figure 3), and the sum of the coefficients (a + b) increases from 0.671 in Panzhihua to 0.845 in Shiquanhe and Naqu.…”

Section: Variation In the Coefficients Of The Site-dependent Models Omentioning

confidence: 98%

“…However, up to now, this assumption has never been tested thoroughly under complex terrain conditions. Recently, some geographic models were also developed for regional applications [46][47][48][49][50] by means of fitting the coefficients with geographical information such as latitude, longitude and altitude. Although these models perform quite well in the plain regions, they have not been tested thoroughly under complex terrain conditions like the TP.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Ångström-Type Model for Estimating Solar Radiation over the Tibetan Plateau

et al. 2017

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For estimating the annual mean of daily solar irradiation in plateau mountainous regions, observed data from 15 radiation stations were used to validate different empirical estimation methods over the Tibetan Plateau. Calibration indicates that sunshine-based site-dependent models perform better than temperature-based ones. Then, the highly rated sunshine-based Ångström model and temperature-based Bristow model were selected for regional application. The geographical models perform much better than the average models, but still not ideally. To achieve better performance, the Ångström-type model was improved using altitude and water vapor pressure as the leading factors. The improved model can accurately predict the coefficients at all the stations, and performs the best among all models with an average Nash-Sutcliffe Efficiency value of 0.856. Spatial distribution of the annual mean of daily solar irradiation was then estimated with the improved model. It is indicated that there is an increasing trend of radiation from east to west, with a great center of the annual mean of daily solar irradiation on southwest Tibetan Plateau ranging from 20 to 24 MJ•m −2. The improved model should be further validated against observations before its applications in other plateau mountainous regions.

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Section: Variation In the Coefficients Of The Site-dependent Models Omentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

An Improved Ångström-Type Model for Estimating Solar Radiation over the Tibetan Plateau

et al. 2017

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“…The previous studies showed that there is a good correlation between K T and T max and T min (Almorox et al, 2011;Pan et al, 2013;Li et al, 2013). To highlight the accuracy of the KELM approach its predictions are compared with those of SVR, as a robust technique.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, developing the models to correlate the horizontal global solar radiation with the air temperature would be an appealing possible option. Over the past years, numerous temperature-based (TB) empirical models have been proposed, and subsequently several modifications and assessments have been performed to estimate the horizontal global solar radiation in many 4 locations across the globe (Meza and Varas, 2000;Abraha and Savage, 2008;Liu et al 2009;Almorox et al, 2011;Pan et al, 2013;Li et al, 2013;Yacef et al, 2014;Dos Santos, et al, 2014). In the TB models, the maximum and minimum air temperatures are mainly used for estimating the atmospheric transmissivity.…”

Section: Introductionmentioning

confidence: 99%

Daily global solar radiation prediction from air temperatures using kernel extreme learning machine: A case study for Iran

Shamshirband

Mohammadi

Chen

et al. 2015

Journal of Atmospheric and Solar-Terrestrial Physics

110

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“…Álvarez et al[29] estimated monthly global solar radiation for the southcentral region of Chile using the r.sun, the Hargreaves-Samani and the Bristow-Campbell models, obtaining R 2 values equal to 0.9, 0.87 and 0.86 respectively, with RMSE values of 4.41, 3.81 and 3.29 for the mentioned models. Li et al[24] obtained and proved in China a model using temperature variables with mean RMSE of 38.68%, and MBE of 0.38 MJ m À2 d À1 .…”

mentioning

confidence: 99%

Estimation of daily global solar radiation from measured temperatures at Cañada de Luque, Córdoba, Argentina

2013

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a b s t r a c tSolar radiation is the most important source of renewable energy in the planet; it's important to solar engineers, designers and architects, and it's also fundamental for efficiently determining irrigation water needs and potential yield of crops, among others. Complete and accurate solar radiation data at a specific region are indispensable. For locations where measured values are not available, several models have been developed to estimate solar radiation. The objective of this paper was to calibrate, validate and compare five representative models to predict global solar radiation, adjusting the empirical coefficients to increase the local applicability and to develop a linear model. All models were based on easily available meteorological variables, without sunshine hours as input, and were used to estimate the daily solar radiation at Cañada de Luque (Córdoba, Argentina).As validation, measured and estimated solar radiation data were analyzed using several statistic coefficients. The results showed that all the analyzed models were robust and accurate (R 2 and RMSE values between 0.87 to 0.89 and 2.05 to 2.14, respectively), so global radiation can be estimated properly with easily available meteorological variables when only temperature data are available.Hargreaves-Samani, Allen and Bristow-Campbell models could be used with typical values to estimate solar radiation while Samani and Almorox models should be applied with calibrated coefficients. Although a new linear model presented the smallest R 2 value (R 2 ¼ 0.87), it could be considered useful for its easy application. The daily global solar radiation values produced for these models can be used to estimate missing daily values, when only temperature data are available, and in hydrologic or agricultural applications.

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A general model for estimation of daily global solar radiation using air temperatures and site geographic parameters in Southwest China

Cited by 56 publications

References 34 publications

An Improved Ångström-Type Model for Estimating Solar Radiation over the Tibetan Plateau

An Improved Ångström-Type Model for Estimating Solar Radiation over the Tibetan Plateau

Daily global solar radiation prediction from air temperatures using kernel extreme learning machine: A case study for Iran

Estimation of daily global solar radiation from measured temperatures at Cañada de Luque, Córdoba, Argentina

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