Influence of atmospheric variations on photovoltaic performance and modeling their effects for days with clear skies

Marion, Bill

doi:10.1109/pvsc.2012.6318300

Cited by 23 publications

(9 citation statements)

References 4 publications

(3 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Work is being performed to address thin-film PV metastabilities (Deline et al, 2012;Silverman et al, 2014) to provide more accurate measurements of P 0 in the future. Departures of stacked-bar values from one for the a-Si and CdTe PV modules are consistent with previous work in which the sensitivity of PV performance to variations in atmosphere for days with clear skies was studied (Marion, 2012). The extent of attenuation of solar radiation by the atmosphere is determined primarily by the mass of air and the amounts of water vapor, aerosols, and ozone.…”

Section: Resultssupporting

confidence: 87%

Analysis of measured photovoltaic module performance for Florida, Oregon, and Colorado locations

2014

Self Cite

View full text Add to dashboard Cite

A study was conducted to determine and compare the measured energy production of photovoltaic (PV) modules for three climatically diverse locations: Cocoa, Florida; Eugene, Oregon; and Golden, Colorado. The PV modules were 2010 vintage and included singlecrystalline silicon (x-Si), multi-crystalline silicon (m-Si), cadmium telluride (CdTe), copper indium gallium selenide (CIGS), amorphous silicon (a-Si) tandem and triple-junction, amorphous silicon/crystalline silicon or heterojunction with intrinsic thin-layer (HIT), and amorphous silicon/microcrystalline silicon (a-Si/lx-Si). Annual performance metrics for reference yield, final PV yield, performance ratio, and the losses associated with angle-of-incidence (AOI), PV module temperature, and low light or irradiance level were determined.Results showed considerable variation in energy production because of both the site-to-site differences in reference yield and the PV module characteristics; for example, the best-performing PV modules in Cocoa had final PV yield values nearly 60% greater than the lowest performing PV module in Eugene. In Cocoa, the final PV yield of the a-Si/lx-Si PV module was greater, after considering measurement uncertainty, than other PV modules in Cocoa, except for the CdTe PV module. In Eugene, more PV modules performed more similarly to each other. The final PV yield values for the a-Si/lx-Si and CdTe PV modules were not measurably greater than the final PV yield values for the HIT and a-Si PV modules. In Golden, the final PV yield values of the PV modules varied the least, within measurement uncertainty, except for one PV module.Losses from AOI effects were from 2½% to 3%; losses from PV module temperature were from 2.3% to 10.8%; and low-light-level effects ranged from a loss of 7.4% for a CIGS PV module deployed in Eugene to a gain of 0.3% for a CdTe PV module deployed in Cocoa. Spectral effects also appeared to be present, with increased performance of the CdTe modules and a-Si PV module in Cocoa and decreased performance in Golden.

show abstract

Section: Resultssupporting

confidence: 87%

Analysis of measured photovoltaic module performance for Florida, Oregon, and Colorado locations

2014

Self Cite

View full text Add to dashboard Cite

show abstract

“…This analysis is based on the estimation of the spectral impact of degradation mechanisms by taking into account multiple spectra with different values of air mass (AM), aerosol optical depth (AOD) and precipitable water (PW). It has been demonstrated that these three atmospheric parameters are the most influential on the spectral irradiance in clear-sky days, and they are widely used to analyse the effect of solar spectrum variations on the performance of PV devices [141][142][143][144]. Table 2 includes the wavelength limits of the absorption band of each material along with the limits of the different spectral regions that have been considered in this study.…”

Section: Agingmentioning

confidence: 99%

Optical degradation impact on the spectral performance of photovoltaic technology

Fernández-Solas

Micheli

Almonacid

et al. 2021

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

The exponential growth of global capacity along with a reduction in manufacturing costs in the last two decades has caused photovoltaic (PV) energy technology to reach a high maturity level. As a consequence, currently, researchers from all over the world are making great efforts to analyse how different types of degradation impact this technology. This study provides a detailed review of the impact of different optical degradation mechanisms, which mainly affect the transmittance of the top-sheet encapsulant, on the spectral response of the PV modules. The evaluation of the impact on the spectral performance of PV modules is evaluated by considering the variations of the short-circuit current since this is the most widely used parameter to study the spectral impact in outdoors. Some of the most common types of optical degradation affecting the performance of PV modules worldwide, such as discoloration, delamination, aging and soiling have been addressed. Due to the widely documented impact of soiling on the spectral response of modules, this mechanism has been specially highlighted in this study. On the other hand, most of the publications analysed in this review report optical degradation in PV modules with polymeric encapsulant materials. Furthermore, an innovative procedure to quantify the spectral impact of degradation on PV modules is presented. This has been used to analyse the impact of two particular cases of degradation due to soiling and discoloration on the spectral response of different PV technologies.

show abstract

“…However, STC conditions are a rather infrequent yearly occurrence for most of the world; therefore, an alternative temperature may be chosen more representative of the average annual temperature [40]. Additional considerations not discussed here may include corrections for angle of incidence [45] or for spectral effects [46].…”

Section: Decision Treesmentioning

confidence: 99%

Reducing Interanalyst Variability in Photovoltaic Degradation Rate Assessments

Jordan

Luo

Jain

et al. 2020

IEEE J. Photovoltaics

View full text Add to dashboard Cite

The economic return on investment of a commercial photovoltaic system depends greatly on its performance over the long term and, hence, its degradation rate. Many methods have been proposed for assessing system degradation rates from outdoor performance data. However, comparing reported values from one analyst and research group to another requires a common baseline of performance; consistency between methods and analysts can be a challenge. An interlaboratory study was conducted involving different volunteer analysts reporting on the same photovoltaic performance data using different methodologies. Initial variability of the reported degradation rates was so high that analysts could not come to a consensus whether a system degraded or not. More consistent values are received when written guidance is provided to each analyst. Further improvements in analyst variance was accomplished by using the free open-source software RdTools, allowing a reduction in variance between analysts by more than

show abstract

Influence of atmospheric variations on photovoltaic performance and modeling their effects for days with clear skies

Cited by 23 publications

References 4 publications

Analysis of measured photovoltaic module performance for Florida, Oregon, and Colorado locations

Analysis of measured photovoltaic module performance for Florida, Oregon, and Colorado locations

Optical degradation impact on the spectral performance of photovoltaic technology

Reducing Interanalyst Variability in Photovoltaic Degradation Rate Assessments

Contact Info

Product

Resources

About