Parameterized transmittance model for direct beam and circumsolar spectral irradiance

Gueymard, Christian A.

doi:10.1016/s0038-092x(01)00054-8

Cited by 742 publications

(496 citation statements)

References 69 publications

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“…This indicates that spectral irradiance corrections for monsoon of the Indian climate require cloud modifiers [33,34]. The simple sinusoidal (AM-based) corrections such as Berman et al [30] and King et al [35] or cloudless transfer models [36] may introduce a bias, which could mislead analysis or simulation results.…”

Section: Variations In Useful Fraction (Uf)mentioning

confidence: 99%

Effect of seasonal spectral variations on performance of three different photovoltaic technologies in India

Magare

Sastry

Gupta

et al. 2015

Int J Energy Environ Eng

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The accuracy of outdoor performance of a photovoltaic (PV) array can be improved by considering the spectral effects. In this paper, the impact of seasonal spectral variations on the three different silicon PV technologies: single junction amorphous silicon (a-Si), Heterojunction with Intrinsic Thin-layer (HIT) and multi crystalline silicon (mc-Si) has been presented first time in Indian environmental conditions. The spectral effect on HIT PV module technology has been presented first time along with the first simultaneous study of variation in spectral indicators by useful fraction (UF), average photon energy (APE) and spectral mismatch factor (MMF), based on monthly and seasonal data. The maximum observed variation in UF was 26.4, 8.2, 10.8 %, while in MMF, variation was up to 24.7, 7.6, 8.2 % for a-Si, HIT and mcSi, respectively, and in APE variation was up to 15.3 %. Among all three technology modules, first time reported HIT technology showed the least variation while maximum variation was observed in a-Si technology. The observed spectral effect variations have been discussed on Performance Ratio and compared with reported results of other global sites. The value and trends of spectral parameters are important to understand the effect of spectral variation on different technology. This study is especially important in Indian subcontinent perspective because of the strong monsoon season, where observed variation in the spectrum-related parameter found to be highest among all the seasons.

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Section: Variations In Useful Fraction (Uf)mentioning

confidence: 99%

Effect of seasonal spectral variations on performance of three different photovoltaic technologies in India

Magare

Sastry

Gupta

et al. 2015

Int J Energy Environ Eng

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“…The water vapor column was 2.96 cm in the DAK model and 2.92 cm in SMARTS, which could cause the irradiance to be slightly smaller in DAK, however it could not be larger than 1 W/m 2 for all the water vapor absorption bands. The SMARTS H 2 O absorption coefficients are parameterized from MODTRAN, while MODTRAN absorption calculations are based on HITRAN 1992 [5] . Although the correlated k-distribution used in the DAK model is also based on the HITRAN 1992, probably there are some differences in the H 2 O absorption coefficients.…”

Section: Model Comparison Results Without Aerosolmentioning

confidence: 99%

“…Then the wavelength dependence of AOT is parameterized as a function of RH and aerosol type. The single scattering albedo is also parameterized as a function of wavelength and RH [5] . This can be the main reason for the differences in the diffuse irradiances.…”

Section: Model Comparison Results With Lowtran Aerosolsmentioning

confidence: 99%

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Clear‐sky Atmospheric Radiative Transfer: A Model Intercomparison for Shortwave Irradiances

Wang¹,

Knap²,

Munneke³

et al. 2009

AIP Conference Proceedings

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Abstract. This study consists of an intercomparison of clear-sky shortwave irradiances calculated by the Doubling Adding model of KNMI (DAK) and the Simple Model of the Atmospheric Radiative Transfer of Sunshine (SMARTS). The DAK and SMARTS models are run with identical input (state profiles, water vapour, ozone, aerosols, etc.) and the differences between the models are examined in terms of broadband shortwave irradiances as a function of solar zenith angle. The DAK and SMARTS models agree very well. For a pure Rayleigh atmosphere the differences in the irradiances are less than 5 W/m 2 . For cases with aerosols the differences of the irradiances are within 10 W/m 2 .

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“…Our mean coastal DMS photo-oxidation rate constant, k DMS , was 1.0 d À1 , 2-fold and 5-fold lower than our means for the lower and upper estuary, respectively (Table 4). To scale our mean rate constants to the daily mean solar irradiance in our study area in July we multiplied our mean k DMS values by (i) the mean ratio of k DMS from sunlight irradiations to that determined under artificial light (R(Sun/Sim) ¼ 1.43), and (ii) the ratio of daily global clear sky irradiance (317 W m À2 ) to the average global clear sky irradiance (775 W m À2 ) from SMARTS2 (Gueymard, 2001) over the duration of our sunlight irradiations. The scaled DMS photo-oxidation rate constants, k 0 DMS (Table 4), were approximately 2-fold lower than the unscaled values from our laboratory irradiations, but still equal to or exceeding the median daily DMS photo-oxidation rate constants for river-influenced coastal surface waters (0.58 d À1 ; Galí et al (2016)).…”

Section: Photochemical Dms Turnover and Dmso Productionmentioning

confidence: 99%

Photochemical oxidation of dimethylsulphide to dimethylsulphoxide in estuarine and coastal waters

et al. 2017

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h i g h l i g h t sWe observed 1:1 M conversion of DMS to DMSO in estuarine waters. This suggests that DMS photo-oxidation occurred via the CDOM sensitised 1 O 2 pathway. Photochemical rate constants decreased~10-fold from river to seawater. Rate constants were strongly correlated with CDOM absorption coefficients (a 350 ). a 350 -normalised rate constants increased~10-fold from river to seawater. a r t i c l e i n f o a b s t r a c tDimethylsulphide (DMS) photo-oxidation and dimethylsulphoxide (DMSO) photoproduction were estimated in 26 laboratory irradiations of coastal samples from NE England (Tyne estuary) and W Scotland (Loch Linnhe and River Nant at Taynuilt). Pseudo-first order rate constants of DMS photo-oxidation (0.038 h À1 to 0.345 h À1 ) and DMSO photo-production (0.017 h À1 to 0.283 h À1 ) varied by one order of magnitude and were lowest in the coastal North Sea. Estuarine samples (salinity S < 30) had a mean DMSO yield of 96 ± 16% (n ¼ 14), consistent with 1:1 M conversion via photosensitised oxidation by singlet oxygen. Photochemical rate constants were strongly correlated with coloured dissolved organic matter (CDOM) absorption coefficients at 350 nm, a 350 . Variations in a 350 explained 61% (R 2 ¼ 0.61, n ¼ 26) and 73% (R 2 ¼ 0.73, n ¼ 17) of the variability in DMS photo-oxidation and DMSO production, respectively. However, CDOM normalised photochemical rate constants increased strongly towards coastal waters exhibiting lowest CDOM absorbance, indicating water samples of marine character (S > 30) to be most reactive with respect to DMS photo-oxidation. Estimates of water column averaged DMS photo-oxidation rate constants, obtained by scaling to mean daily irradiance (July, NE England) and mid-UV underwater irradiance, were 0.012 d À1 , 0.019 d À1 , and 0.017 d À1 for upper estuary (S < 20), lower estuary (20 < S < 30) and coastal waters (S > 30), at the lower end of previous observations. Comparing our water column averaged DMS photo-oxidation rate constants with estimated DMS losses via air-sea gas exchange and previously reported biological consumption implies that DMS photochemical removal is of only minor importance in our study area.

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Parameterized transmittance model for direct beam and circumsolar spectral irradiance

Cited by 742 publications

References 69 publications

Effect of seasonal spectral variations on performance of three different photovoltaic technologies in India

Effect of seasonal spectral variations on performance of three different photovoltaic technologies in India

Clear‐sky Atmospheric Radiative Transfer: A Model Intercomparison for Shortwave Irradiances

Photochemical oxidation of dimethylsulphide to dimethylsulphoxide in estuarine and coastal waters

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