Photovoltaic lifetime and degradation science statistical pathway development: acrylic degradation

Bruckman, Laura S.; Wheeler, Nicholas R.; Kidd, Ian V.; Sun, Jiayang; French, Roger H.

doi:10.1117/12.2024717

Cited by 7 publications

(5 citation statements)

References 34 publications

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“…The main absorption bands inherent to the unaged PET-PC coating, were observed in the region of its fingerprints of the infrared spectrum of PET as shown in Figure 2. The absorption band of the carbonyl elongation vibration (C = O) of the ester at the wavelength of 1714 cm −1 [9,23–26]. Two strong absorption bands associated with the elongation of the C–O–C bonds of the ester group, at wavelengths close to 1120 and 1250 cm −1 . …”

Section: Resultsmentioning

confidence: 99%

“…The absorption band of the carbonyl elongation vibration (C = O) of the ester at the wavelength of 1714 cm −1 [9,23–26].…”

Section: Resultsmentioning

confidence: 99%

“…There are two main types of photochemical reactions that affect the polymers that contain the carbonyl group (C = O), such as PET: the reactions of Norrish type I and Norrish type II. [11,15,16,18,25] In PET, photodegradation is a complex process of photolysis and/ or photo-oxidative reactions, which depend on the nature of the atmosphere and the wavelength of the exposure radiation [39]. Some factors are supporting the initiation of polymeric degradation in PET samples.…”

Section: Discussionmentioning

confidence: 99%

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UV weathering and performance of a novel corrosion protective coating on steel made from recycled polyethylene terephthalate (PET)

Ferreira

Silva

Cotting

et al. 2020

Corrosion Engineering, Science and Technology

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Poly(ethylene terephthalate) (PET) powder obtained from post-consumer bottles is deposited on carbon steel by using a hot mechanical pressing method. The PET coated steels are aged in weathering chambers by using a xenon lamp for 400 and 1500 h, and using ultraviolet (UV-B) lamps for 400 h. The aged PET coatings are analysed by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and the photodegradation mechanism is discussed. The corrosion evaluation of aged PET coated steels is performed by using the electrochemical impedance spectroscopy in a saline medium. FTIR-ATR analysis of the aged coating indicates that the UV-B test chamber is more aggressive to PET coatings than the WO chamber test. After 400 h of weathering aging, PET coated steels exposed in a chamber with the xenon radiation show a higher corrosion resistance than the PET coated steel aged using the UV-B test.

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Section: Resultsmentioning

confidence: 99%

“…The absorption band of the carbonyl elongation vibration (C = O) of the ester at the wavelength of 1714 cm −1 [9,23–26].…”

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

UV weathering and performance of a novel corrosion protective coating on steel made from recycled polyethylene terephthalate (PET)

Ferreira

Silva

Cotting

et al. 2020

Corrosion Engineering, Science and Technology

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“…Stabilizing additives attempt to reduce the degradation rate and increase the service lifetime. These additives are also subject to degradation and can introduce subsequent degradation pathways [ 18 , 19 ]. A comprehensive understanding of degradation pathways of PET grades under multi-factor exposures is required.…”

Section: Introductionmentioning

confidence: 99%

Predictive models of poly(ethylene-terephthalate) film degradation under multi-factor accelerated weathering exposures

et al. 2017

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Accelerated weathering exposures were performed on poly(ethylene-terephthalate) (PET) films. Longitudinal multi-level predictive models as a function of PET grades and exposure types were developed for the change in yellowness index (YI) and haze (%). Exposures with similar change in YI were modeled using a linear fixed-effects modeling approach. Due to the complex nature of haze formation, measurement uncertainty, and the differences in the samples’ responses, the change in haze (%) depended on individual samples’ responses and a linear mixed-effects modeling approach was used. When compared to fixed-effects models, the addition of random effects in the haze formation models significantly increased the variance explained. For both modeling approaches, diagnostic plots confirmed independence and homogeneity with normally distributed residual errors. Predictive R2 values for true prediction error and predictive power of the models demonstrated that the models were not subject to over-fitting. These models enable prediction under pre-defined exposure conditions for a given exposure time (or photo-dosage in case of UV light exposure). PET degradation under cyclic exposures combining UV light and condensing humidity is caused by photolytic and hydrolytic mechanisms causing yellowing and haze formation. Quantitative knowledge of these degradation pathways enable cross-correlation of these lab-based exposures with real-world conditions for service life prediction.

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“…Our infrastructure is designed to handle data acquisition, validation and cleaning of real-world time series datastreams that allows for insights to be gained and data-driven predictive models to be generated. We apply a degradation science methodology to gain insights into the thermal performance of microinverters using data science [ 33 ], or an agnostic approach that relies on exploratory data analysis and statistical practices to further scientific knowledge, past examples include our work on PV modules’ degradation pathways under damp heat [ 34 ], acrylic degradation [ 35 ], and transparent conducting oxides [ 36 ]. We apply these methods and develop a parametric, time-independent regression model of microinverter temperature given the rank-ordered predictors.…”

Section: Introductionmentioning

confidence: 99%

Microinverter Thermal Performance in the Real-World: Measurements and Modeling

Hossain

Peshek

et al. 2015

PLoS ONE

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Real-world performance, durability and reliability of microinverters are critical concerns for microinverter-equipped photovoltaic systems. We conducted a data-driven study of the thermal performance of 24 new microinverters (Enphase M215) connected to 8 different brands of PV modules on dual-axis trackers at the Solar Durability and Lifetime Extension (SDLE) SunFarm at Case Western Reserve University, based on minute by minute power and thermal data from the microinverters and PV modules along with insolation and environmental data from July through October 2013. The analysis shows the strengths of the associations of microinverter temperature with ambient temperature, PV module temperature, irradiance and AC power of the PV systems. The importance of the covariates are rank ordered. A multiple regression model was developed and tested based on stable solar noon-time data, which gives both an overall function that predicts the temperature of microinverters under typical local conditions, and coefficients adjustments reecting refined prediction of the microinverter temperature connected to the 8 brands of PV modules in the study. The model allows for prediction of internal temperature for the Enphase M215 given similar climatic condition and can be expanded to predict microinverter temperature in fixed-rack and roof-top PV systems. This study is foundational in that similar models built on later stage data in the life of a device could reveal potential influencing factors in performance degradation.

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Photovoltaic lifetime and degradation science statistical pathway development: acrylic degradation

Cited by 7 publications

References 34 publications

UV weathering and performance of a novel corrosion protective coating on steel made from recycled polyethylene terephthalate (PET)

UV weathering and performance of a novel corrosion protective coating on steel made from recycled polyethylene terephthalate (PET)

Predictive models of poly(ethylene-terephthalate) film degradation under multi-factor accelerated weathering exposures

Microinverter Thermal Performance in the Real-World: Measurements and Modeling

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