Development and Testing of the PVSPEC Model of Photovoltaic Spectral Mismatch Factor

Pelland, Sophie; Beswick, Colin; Thévenard, Didier; Cote, A.; Pai, Abhijeet; Poissant, Yves

doi:10.1109/pvsc45281.2020.9300932

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…BENCHMARK DATA Appropriate measurements have been obtained for the seven ground stations shown in Fig. 1 (with latitudes ranging from 37.09 to 53.34°), for different time periods of at least one year in 2014, 2018, and 2019, and at time steps of 1-5 minutes, as described in [3]. Each of these stations monitors the broadband global horizontal irradiance (GHI), direct normal irradiance (DNI), and diffuse horizontal irradiance (DIF), along with other meteorological variables.…”

Section: Satellite-based Spectral Irradiance Productsmentioning

confidence: 99%

“…At Almería, spectral modeling was used by Deutsches Zentrum für Luft-und Raumfahrt (DLR) to extend the data to the 280-4000-nm range [11]. Quality control of data is described in [3], and additional DLR-conducted quality control at Almería is detailed in [11]. The remaining five stations are located across Canada in Varennes, Egbert, Charlottetown, Devon, and Ottawa.…”

Section: Satellite-based Spectral Irradiance Productsmentioning

confidence: 99%

“…SMM is computed here for each site at each available time step and for six PV module technologies: amorphous silicon (a-Si), copper indium gallium selenide (CIGS), monocrystalline silicon (mono-Si), polycrystalline silicon (poly-Si), and two cadmium telluride technologies from First Solar, namely series 4-1 and earlier (FS4-1), and series 4-2 and later (FS4-2). The spectral responsivities for each PV module type [3] are shown in Fig. 2.…”

Section: A All-sky Analysis and Pv Spectral Effect Comparisonsmentioning

confidence: 99%

“…Instead, current photovoltaic modeling tools either ignore spectral effects altogether or approximate spectral effects using atmospheric variables that influence the spectral distribution of irradiance, such as clear-sky index, air mass, or integrated water vapor (see, e.g., [3]). While such models are easy to integrate into modeling tools and usually rely on commonly available data, they need to be trained with spectral responsivity data from specific PV modules.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, such models are usually empirical, in which case they must be trained on the limited number of available spectral irradiance data sets. Whereas a recent cross-validation analysis suggests that empirical models have skill in generalizing to new locations [3], the extent of this generalizability remains an open question.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Validation of Photovoltaic Spectral Effects Derived From Satellite-Based Solar Irradiance Products

Pelland

Gueymard²

2022

IEEE J. Photovoltaics

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MERRA-2) reanalysis. The satellite products are tested in terms of their ability to estimate photovoltaic (PV) spectral effects for six PV module technologies. The spectra are also compared directly under clear-sky conditions. Both CM-SAF SRI and NSRDB-S outperform the simple benchmark of neglecting spectral effects in terms of predicting instantaneous spectral mismatch factors, but only CM-SAF SRI generally does better at predicting long-term spectral derate factors. The clear-sky results reveal systematic differences between NSRDB-S and benchmark spectra, likely due to the NSRDB-S treatment of aerosols. Meanwhile, the mean SMARTS spectra with AERONET and MERRA-2 inputs are in good agreement, showing promise for the use of MERRA-2 as input to clear-sky models.

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Section: Satellite-based Spectral Irradiance Productsmentioning

confidence: 99%

Section: Satellite-based Spectral Irradiance Productsmentioning

confidence: 99%

Section: A All-sky Analysis and Pv Spectral Effect Comparisonsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Validation of Photovoltaic Spectral Effects Derived From Satellite-Based Solar Irradiance Products

Pelland

Gueymard²

2022

IEEE J. Photovoltaics

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The effect of spectral albedo in bifacial photovoltaic performance

Riedel

Ribaconka

Pó³

et al. 2022

Solar Energy

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Validation of Photovoltaic Spectral Effects Derived From Satellite-Based Solar Irradiance Products

Pelland¹,

Gueymard²

2022

Preprint

Self Cite

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<p>The Satellite Application Facility on Climate Monitoring (CM-SAF) Spectral Resolved Irradiance (SRI) and National Renewable Energy Laboratory National Solar Radiation Database Spectral on Demand (NSRDB-S) satellite-based spectral irradiance products are tested here against benchmark data and models at seven ground stations: one in Spain for CM-SAF SRI and six in North America for NSRDB-S. Benchmarks include WISER spectroradiometers, spectra modeled from SolarSIM-G measurements and the SMARTS radiative code with two alternate input sources: AErosol RObotic NETwork (AERONET) and the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis. The satellite products are tested in terms of their ability to estimate photovoltaic (PV) spectral effects for six PV module technologies. The spectra are also compared directly under clear-sky conditions. Both CM-SAF SRI and NSRDB-S outperform the simple benchmark of neglecting spectral effects in terms of predicting instantaneous spectral mismatch factors, but only CM-SAF SRI generally does better at predicting long-term spectral derate factors. The clear-sky results reveal systematic differences between NSRDB-S and benchmark spectra, likely due to the NSRDB-S treatment of aerosols. Meanwhile, the mean SMARTS spectra with AERONET and MERRA-2 inputs are in good agreement, showing promise for the use of MERRA-2 as input to clear-sky models.</p>

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Development and Testing of the PVSPEC Model of Photovoltaic Spectral Mismatch Factor

Cited by 3 publications

References 7 publications

Validation of Photovoltaic Spectral Effects Derived From Satellite-Based Solar Irradiance Products

Validation of Photovoltaic Spectral Effects Derived From Satellite-Based Solar Irradiance Products

The effect of spectral albedo in bifacial photovoltaic performance

Validation of Photovoltaic Spectral Effects Derived From Satellite-Based Solar Irradiance Products

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