Proposal and evaluation of subordinate standard solar irradiance spectra for applications in solar energy systems

Jessen, Wilko; Wilbert, Stefan; Gueymard, Christian A.; Polo, Jesús; Bian, Zeqiang; Driesse, Anton; Habte, Aron; Marzo, Aitor; Armstrong, Peter; Vignola, Frank; Ramírez, Lourdes

doi:10.1016/j.solener.2018.03.043

Cited by 42 publications

(23 citation statements)

References 29 publications

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“…The software SMARTS 2.9.5 (Gueymard, 2001, Gueymard, 1995 was used to generate the spectra. The spectra for AM 1.5 and the underlying atmospheric conditions are described in detail in (Jessen et al, 2018;Wilbert et al, 2017). The AM of 5 corresponds to a zenith angle of 78.7° which is close to the 80° limit used for the definition of the directional error in the 1990 version of ISO 9060.…”

Section: Test Spectra and Calculation Of The Clear Sky Spectral Errormentioning

confidence: 85%

Application of the Clear Sky Spectral Error for Radiometer Classification in ISO 9060

Wilbert¹,

Jessen²,

Forstinger³

et al. 2019

Proceedings of the ISES Solar World Congress 2019

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A recent update of the ISO 9060 standard for the classification of solar radiometers introduces the use of the clear sky spectral error. The spectral error is the change in responsivity that may occur when the spectral distribution of the incident solar radiation differs from the spectral distribution present at the time of calibration. Spectral errors may occur if the radiometer does not have a completely uniform spectral responsivity. This use of the clear sky spectral error is a significant change compared to the previous version of the 9060 standard as now not only thermopile radiometers, but also photodiode radiometers are covered by the standard. We explain the method used to derive the spectral error and present spectral errors for several radiometers of different technologies. The results demonstrate that the new method is helpful to classify radiometers, distinguishing between different radiometer types and excluding inappropriate instruments from the classification as pyranometers and pyrheliometers. We recommend that the method is also used for WMO's radiometer classification which up to our knowledge is currently not fulfilled by any field pyrheliometer and many pyranometers on the market due to its demanding requirements for the spectral responsivity.

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Section: Test Spectra and Calculation Of The Clear Sky Spectral Errormentioning

confidence: 85%

Application of the Clear Sky Spectral Error for Radiometer Classification in ISO 9060

Wilbert¹,

Jessen²,

Forstinger³

et al. 2019

Proceedings of the ISES Solar World Congress 2019

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“…More specifically, using a unique standard spectrum for the evaluation of solar technologies behavior under a variety of atmospheric conditions can be a source of error since these spectra typically differ substantially. This issue was demonstrated in previous studies [4][5][6]. This concern has led the solar industry to become increasingly interested in how the spectral distribution of the incident spectrum could vary with geography, topography or climate.…”

Section: Introductionmentioning

confidence: 93%

Sunbelt spectra comparison with standard ASTM G173: The Chilean case

Marzo

Polo²,

Wilbert³

et al. 2018

AIP Conference Proceedings

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Two spectra of solar direct normal irradiance (including circumsolar) are estimated based on spatio-temporal averages of the relevant atmospheric parameters extracted from two different databases: MODIS satellite sensor retrievals and AERONET sun photometer network. The satellite database is used to calculate an average spectrum for the area of the Atacama Desert. The AERONET database is used for two purposes: (i) to apply bias-removal linear methods to correct the MODIS parameters over Atacama Desert, and (ii) to calculate an average local spectrum for the Paranal station. The SMARTS radiative transfer model is used to obtain the three representative spectra developed in this study. Both the Atacama Desert and Paranal spectra are compared against each other and also to the world reference, ASTM G173. In one of the cases, significant differences are found for short wavelengths. In order to quantify the relative importance of these spectral differences, the propagation of errors due to the use of each spectrum is evaluated for CSP applications over the Atacama Desert, considering twelve different scenarios involving the reflectance, transmittance or absorptance of various materials.

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“…One issue with reference spectra is that they are developed for specific atmospheric conditions (Gueymard, Myers, and Emery 2002) and thus might not correspond to observable natural conditions at all locations of interest or during some periods of the year. To ease this, subordinate standard spectra have been proposed (Jessen et al 2018). These spectra are referenced in ISO standard 9060:2018 (ISO 2018) to evaluate spectral mismatch factors or spectral errors in radiometers.…”

Section: Spectral Irradiancementioning

confidence: 99%

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Third Edition

Sengupta

Habte

Wilbert

et al. 2021

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Proposal and evaluation of subordinate standard solar irradiance spectra for applications in solar energy systems

Cited by 42 publications

References 29 publications

Application of the Clear Sky Spectral Error for Radiometer Classification in ISO 9060

Application of the Clear Sky Spectral Error for Radiometer Classification in ISO 9060

Sunbelt spectra comparison with standard ASTM G173: The Chilean case

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Third Edition

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