Novel method for the improvement in the evaluation of outdoor performance loss rate in different PV technologies and comparison with two other methods

Belluardo, Giorgio; Ingenhoven, P.; Sparber, Wolfram; Wagner, Jochen; Weihs, Philipp; Moser, David

doi:10.1016/j.solener.2015.04.030

Cited by 52 publications

(31 citation statements)

References 29 publications

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“…Online techniques rely on information routinely collected from solar modules. For example, Belluardo et al and Jordan and Kurtz have analyzed the online temporal evolution of PV degradation by continuously examining 3 time series performance metrics: (a) DC/G POA is the ratio of temperature‐corrected DC power over the plane‐of‐array irradiance (b)Performance ratio method (PR = Y G / Y R ) uses the ratio of the generated output energy ( Y G ) and the nameplate rating‐based reference output energy ( Y R ) to determine the degradation of a module …”

Section: Introductionmentioning

confidence: 99%

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Real‐time monitoring and diagnosis of photovoltaic system degradation only using maximum power point—the Suns‐Vmp method

Sun

Chavali

Alam

2018

Progress in Photovoltaics

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The uncertainties associated with technology‐specific and geography‐specific degradation rates make it difficult to calculate the levelized cost of energy, and thus the economic viability of solar energy. In this regard, millions of fielded photovoltaic modules may serve as a global testbed, where we can interpret the routinely collected time series maximum power point (MPP) data to assess the time‐dependent “health” of solar modules. The existing characterization methods, however, cannot effectively mine/decode these datasets to identify various degradation pathways. In this paper, we propose a new methodology called the Suns‐Vmp method, which offers a simple yet powerful approach to monitoring and diagnosing time‐dependent degradation of solar modules by using the MPP data. The algorithm reconstructs “IV” curves by using the natural illumination‐dependent and temperature‐dependent daily MPP characteristics as constraints to fit physics‐based circuit models. These synthetic IV characteristics are then used to determine the time‐dependent evolution of circuit parameters (eg, series resistance), which in turn allows one to deduce the dominant degradation modes (eg, solder bond failure) of solar modules. The proposed method has been applied to a test facility at the National Renewable Energy Laboratory. Our analysis indicates that the solar modules degraded at a rate of ~0.7%/year because of discoloration and weakened solder bonds. These conclusions are validated by independent outdoor IV measurements and on‐site imaging characterization. Integrated with physics‐based degradation models or machine learning algorithms, the method can also serve to predict the lifetime of photovoltaic systems.

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Section: Introductionmentioning

confidence: 99%

“…Online techniques rely on information routinely collected from solar modules. For example, Belluardo et al 4 and Jordan and Kurtz 5 have analyzed the online temporal evolution of PV degradation by continuously examining 3 time series performance metrics:…”

Section: Introductionmentioning

confidence: 99%

Real‐time monitoring and diagnosis of photovoltaic system degradation only using maximum power point—the Suns‐Vmp method

Sun

Chavali

Alam

2018

Progress in Photovoltaics

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“…Its accuracy is vital to all stakeholders -utility companies, integrators, investors, and researchers (Jordan and Kurtz, 2013). Remarkable diversity in the degradation rates can be caused by different PV technologies (Belluardo et al, 2015), performance metrics (Makrides et al, 2010a), age or investigating period (Osterwald et al, 2007), construction (encapsulation, front-and back-sheet) , electrical set-up (open-circuit, short-circuit, load resistor, grid-tied) (Skoczek et al, 2009), filtering criteria (Jordan and Kurtz, 2014) and analysis techniques (Makrides et al, 2010a).…”

Section: Degradation Ratesmentioning

confidence: 99%

“…Generally, the degradation rate of c-Si based PV modules or systems is lower than thin film modules, although this gap is decreasing with the maturity of thin film technology after 2000 . Considering the average value of degradation rate estimated with linear regression (LR) on the PR time series data for three years, the study conducted by Belluardo et al (2015) in Italy found typical rates of 0.2%/year for c-Si based technologies, around 0.9%/year for µc-Si, 1.9%/year for CIGS, 1.4%/year for CdTe, 1.2%/year for single junction a-Si, and 1.5%/year for double junctions a-Si.…”

Section: Degradation Ratesmentioning

confidence: 99%

“…Statistical decomposition is known as a robust way to separate seasonality and trend with smaller uncertainties in shorter time series data compared to LR Ye et al, 2014). Apart from the analysis techniques, some studies have shown substantial differences in the degradation rates calculated by diverse performance metrics (i.e., PR, PVUSA power rating, I-V curve measurements, P max and corrected P max ), which also lead to different statistical uncertainties (Belluardo et al, 2015;Jordan and Kurtz, 2014;Makrides et al, 2010a). Makrides et al (2010a).…”

Section: Degradation Ratesmentioning

confidence: 99%

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Análisis comparativo del funcionamiento de distintas tecnologías de paneles solares operando en las mismas condiciones

Wang¹

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Doctoral Thesis Co-Supervisor: M. Carmen Alonso García (PhD in Chemistry) 2017 (D-15)Tribunal nombrado por el Magfco. y Excmo. Sr. Rector de la Universidad Politécnica de Madrid, el día _____ de ______________de 20_____. Presidente:_______________________________________________________ Secretario:_______________________________________________________ Vocal:___________________________________________________________ Vocal:___________________________________________________________ Vocal:___________________________________________________________ Suplente:________________________________________________________ Suplente:________________________________________________________ Realizado el acto de defensa y lectura de Tesis el día ___de _______ de 20__. En la E.T.S.I. Agronómica, Alimentaria Y De Biosistemas EL PRESIDENTE LOS VOCALES EL SECRETARIO Los seres humanos no nacen para siempre el día en que sus madres los alumbran, sino que la vida los obliga a parirse a sí mismos una y otra vez. Human beings are not born once and for all on the day their mothers give birth to them, but that life obliges them over and over again to give birth to themselves. 人不是从娘胎里出来就一成不变的，相反，生活会逼迫他一次又一次地脱胎换骨。 El amor en los tiempos del cólera Love in the Time of Cholera

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Compendium of photovoltaic degradation rates

Jordan

Kurtz

VanSant

et al. 2016

Progress in Photovoltaics

435

223

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Published data on photovoltaic (PV) degradation measurements were aggregated and re‐examined. The subject has seen an increased interest in recent years resulting in more than 11 000 degradation rates in almost 200 studies from 40 different countries. As studies have grown in number and size, we found an impact from sampling bias attributable to size and accuracy. Because of the correlational nature of this study we examined the data in several ways to minimize this bias. We found median degradation for x‐Si technologies in the 0.5–0.6%/year range with the mean in the 0.8–0.9%/year range. Hetero‐interface technology (HIT) and microcrystalline silicon (µc‐Si) technologies, although not as plentiful, exhibit degradation around 1%/year and resemble thin‐film products more closely than x‐Si. Several studies showing low degradation for copper indium gallium selenide (CIGS) have emerged. Higher degradation for cadmium telluride (CdTe) has been reported, but these findings could reflect a convolution of less accurate studies and longer stabilization periods for some products. Significant deviations for beginning‐of‐life measurements with respect to nameplate rating have been documented over the last 35 years. Therefore, degradation rates that use nameplate rating as reference may be significantly impacted. Studies that used nameplate rating as reference but used solar simulators showed less variation than similar studies using outdoor measurements, even when accounting for different climates. This could be associated with confounding effects of measurement uncertainty and soiling that take place outdoors. Hotter climates and mounting configurations that lead to sustained higher temperatures may lead to higher degradation in some, but not all, products. Wear‐out non‐linearities for the worst performing modules have been documented in a few select studies that took multiple measurements of an ensemble of modules during the lifetime of the system. However, the majority of these modules exhibit a fairly linear decline. Modeling these non‐linearities, whether they occur at the beginning‐of‐life or end‐of‐life in the PV life cycle, has an important impact on the levelized cost of energy. Copyright © 2016 John Wiley & Sons, Ltd.

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Novel method for the improvement in the evaluation of outdoor performance loss rate in different PV technologies and comparison with two other methods

Cited by 52 publications

References 29 publications

Real‐time monitoring and diagnosis of photovoltaic system degradation only using maximum power point—the Suns‐Vmp method

Real‐time monitoring and diagnosis of photovoltaic system degradation only using maximum power point—the Suns‐Vmp method

Análisis comparativo del funcionamiento de distintas tecnologías de paneles solares operando en las mismas condiciones

Compendium of photovoltaic degradation rates

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