Prediction of direct and global solar irradiance using broadband models: Validation of REST model

Alam, Shah

doi:10.1016/j.renene.2005.06.009

Cited by 31 publications

(12 citation statements)

References 20 publications

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“…Alam (2006) performed an analysis of three models, including the REST2 model, at four sites in India, using hourly data restricted to non-monsoon conditions, concluding the REST2 model performed best with an RMSE of approximately 7%. Badescu (1997) validated five models (Rigollier et al, 2000;Paltridge and Proctor, 1976;Kasten and Czeplak, 1980;Adnot et al, 1979;Daneshyar, 1978) for two Romanian sites, concluding that the regionally calibrated ABCG model (Adnot et al, 1979) performed best, but noted that the other simpler models were comparable in performance.…”

Section: Previous Validation Studiesmentioning

confidence: 99%

Validating nine clear sky radiation models in Australia

Engerer

Mills

2015

Solar Energy

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There have been many validation studies of clear sky solar radiation models, however, to date, no such analysis has been completed for Australia. Clear sky models are essential for estimating the generation potential of various solar energy technologies, the basic calibration of radiation measuring equipment, quality control of solar radiation datasets, engineering design (e.g. heating and cooling of buildings) and in agricultural and biological sciences (e.g. forestry). All of these areas are of considerable interest to the Australian economy and will benefit from an assessment of clear sky radiation models. With the recent provision of one-minute interval radiation data by the Australian Bureau of Meteorology for 20 sites across Australia, such a study can now be undertaken at a level not previously possible. Using up to ten years of data from each of 14 of these sites, clear sky periods are extracted through an automated detection algorithm. With these clear sky periods identified, nine of the most prominent beam and global clear sky radiation models are assessed using the relative Mean Bias Error, relative Root Mean Square Error and Coefficient of Determination as metrics. Further testing assessed model performance as a function of solar zenith angle and apparent solar time. Results show that for global clear sky simulations, the Solis, Esra and REST2 approaches perform best, while the Iqbal, Esra and REST2 methods are the most proficient clear sky beam models.

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Section: Previous Validation Studiesmentioning

confidence: 99%

Validating nine clear sky radiation models in Australia

Engerer

Mills

2015

Solar Energy

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“…Alam analyzed three parametric clear sky models for four locations in India [83]. He used average hourly clear sky irradiance data to calculate the error for each month not during monsoon season.…”

Section: Review Of Previous Analysis Of Clear Sky Modelsmentioning

confidence: 99%

“…Most evaluations of clear sky models find that the average bias error of the model is less than 10%, often around 7% [1,83]. Therefore, a fixed threshold of ±75 W/m 2 within the mean and max of the clear sky model was chosen.…”

Section: Threshold Values For Criteriamentioning

confidence: 99%

Global horizontal irradiance clear sky models : implementation and analysis.

Stein¹,

Hansen²,

Reno³

2012

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Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.4

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“…For the mean and maximum GHI criteria, a threshold of ±75 W/m 2 within the mean and maximum of the clear sky model was chosen. Most evaluations of clear sky models find that the average bias error of the model is less than 10%, often around 7% (Alam, 2006;Badescu, 1997). Setting the threshold to be similar to these bias errors avoids misclassifying a clear time period as cloudy due to bias error in the clear sky model.…”

Section: Threshold Values For Criteriamentioning

confidence: 99%

Identification of periods of clear sky irradiance in time series of GHI measurements

2016

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We present a simple algorithm for identifying periods of time with broadband GHI similar to that occurring during clear sky conditions from a time series of global horizontal irradiance (GHI) measurements. Other available methods to identify these periods do so by identifying periods with clear sky conditions using additional measurements, such as direct or diffuse irradiance. Our algorithm compares characteristics of the time series of measured GHI with the output of a clear sky model without requiring additional measurements. We validate our algorithm using data from several locations by comparing our results with those obtained from a clear sky detection algorithm, and with satellite and ground-based sky imagery.

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Prediction of direct and global solar irradiance using broadband models: Validation of REST model

Cited by 31 publications

References 20 publications

Validating nine clear sky radiation models in Australia

Validating nine clear sky radiation models in Australia

Global horizontal irradiance clear sky models : implementation and analysis.

Identification of periods of clear sky irradiance in time series of GHI measurements

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