Conversion function between the Linke turbidity and the atmospheric water vapor and aerosol content

Ineichen, Pierre

doi:10.1016/j.solener.2008.04.010

Cited by 53 publications

(20 citation statements)

References 11 publications

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“…Ineichen also developed a conversion between Linke turbidity and the water vapor (w) and aerosol optical depth at 550 nm (aod 550 ), taking into account the altitude of the site, for a fixed air mass of 2 [68]:…”

Section: Linke Turbidity Modelsmentioning

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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Section: Linke Turbidity Modelsmentioning

confidence: 99%

Global horizontal irradiance clear sky models : implementation and analysis.

Stein¹,

Hansen²,

Reno³

2012

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“…When the Linke turbidity factor is needed as input for a model, it is derived from aod using the conversion function developed by Ineichen (2002Ineichen ( , 2008c.…”

Section: Input Parametersmentioning

confidence: 99%

Validation of models that estimate the clear sky global and beam solar irradiance

Ineichen

2016

Solar Energy

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The optimal utilization of solar energy requires a thorough characterization of the solar resource. The most accurate way is to measure that resource in situ. However accurate measurements are not a common commodity, especially over longer time spans. To circumvent the lack of ground based measurements, models can be applied to estimate solar irradiance components. A fundamental component is clear sky irradiance. In particular, clear sky irradiance is used as the normalization function in models that convert meteorological satellite images into irradiance, or in models that decompose global irradiance into diffuse/direct fraction. It is therefore important to evaluate and validate clear sky irradiance models.

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“…Likewise, the original data from MACC reanalysis were the AOD at 469, 550, 670 and 865 nm. Daily values of AOD 550 and TL have been computed from both AERONET and MACC reanalysis by using the Angstrom law and the Ineichen approach for computing Linke turbidity factor [19,20]. In case of MACC reanalysis the final results of AOD 550 and TL have been resampled at 1 Â 1 of spatial resolution for the geographic domain of the Iberian peninsula (37 N to 44 N latitude and À10 E to 5 E longitude).…”

Section: Aerosol Datamentioning

confidence: 99%

Towards downscaling of aerosol gridded dataset for improving solar resource assessment, an application to Spain

et al. 2014

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Solar radiation estimates with clear sky models require estimations of aerosol data. The low spatial resolution of current aerosol datasets, with their remarkable drift from measured data, poses a problem in solar resource estimation. This paper proposes a new downscaling methodology by combining support vector machines for regression (SVR) and kriging with external drift, with data from the MACC reanalysis datasets and temperature and rainfall measurements from 213 meteorological stations in continental Spain.The SVR technique was proven efficient in aerosol variable modeling. The Linke turbidity factor (TL) and the aerosol optical depth at 550nm (AOD 550) estimated with SVR generated significantly lower errors in AERONET positions than MACC reanalysis estimates. The TL was estimated with relative mean absolute error (rMAE) of 10.2% (compared with AERONET), against the MACC rMAE of 18.5%. A similar behavior was seen with AOD 550, estimated with rMAE of 8.6% (compared with AERONET), against the MACC rMAE of 65.6%.Kriging using MACC data as external drift was found useful in generating high resolution maps (0.05 o x0.05 o ) of both aerosol variables. We created high resolution maps of aerosol variables in continental Spain for the year 2008.The proposed methodology was proven to be a valuable tool to create high resolution maps of aerosol variables (TL and AOD 550). This methodology shows meaningful improvements when compared with estimated available databases and therefore, leads to more accurate solar resource estimations. This methodology could also be applied to the prediction of other atmospheric variables, whose datasets are of low resolution.

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Conversion function between the Linke turbidity and the atmospheric water vapor and aerosol content

Cited by 53 publications

References 11 publications

Global horizontal irradiance clear sky models : implementation and analysis.

Global horizontal irradiance clear sky models : implementation and analysis.

Validation of models that estimate the clear sky global and beam solar irradiance

Towards downscaling of aerosol gridded dataset for improving solar resource assessment, an application to Spain

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