Low-cost infrared thermography in aid of photovoltaic panels degradation research

Dávila-Sacoto, Miguel; Hernández-Callejo, Luís; Alonso‐Gómez, Víctor; Gallardo-Saavedra, Sara; Morales, Luis

doi:10.17533/udea.redin.20200689

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…Variable resistors capitalize on a varying resistance from zero (I SC ) to infinite (V OC ), enabling an approximate measurement around the MPP [74][75][76]. The method of using variable resistors is often simple to implement [71] but poses difficulties with accuracy, resolution, sweep speed, and scalability [70,77]. Capacitive loads serve as a more practical option for scalable rapid measurements [78][79][80][81][82][83][84][85].…”

Section: I-v Curve Tracersmentioning

confidence: 99%

Measuring outdoor I–V characteristics of PV modules and systems

et al. 2022

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The cumulative installed capacity of photovoltaics has passed 1 TW, of which about two-thirds were only installed in the past five years. Many of these new installations incorporate novel module and cell designs that have not yet been subjected to long-term in-field characterization. Indoor accelerated stress testing has historically been a valuable methodology to identify fault mechanisms, estimate degradation rates, and to ensure the safety and normal operation of modules in the field. Still, these methodologies deliver an incomplete image of the exact stress mechanisms that photovoltaic systems are subject to outdoors, which vary with location, time of day, and time of year. In this work we review different outdoor methods to measure current-voltage characteristics of photovoltaic systems, discuss how the environmental conditions impact those characteristics, and examine alternative methodologies for acquiring light and pseudo current-voltage characteristics more applicable to larger scale installations. This review also provides an insight into methods useful for real-time monitoring and degradation analysis at the module and string level.

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Section: I-v Curve Tracersmentioning

confidence: 99%

Measuring outdoor I–V characteristics of PV modules and systems

et al. 2022

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“…In this way, the analysis of the module response curves gives us direct information on the electrical "state" of the module, allowing the researcher to obtain data on the expected performance of the module under different conditions of solar irradiation and module load. However, it is an analysis that must be supported by other deterioration detection techniques to be able to give a conclusive answer [9], because in normal operating conditions, PV modules can develop several failure modes at the same time, which implies that the response of the characteristic curves is an addition of all faults of the module.…”

Section: I-v and P-v Curves Analysismentioning

confidence: 99%

“…This topology is used in [17][18][19][20], but it has limitations due to the quality of the curve obtained and the fact that the variation of resistance is normally done manually. In [9], the author states that the precision of the method is not high since it is susceptible to the fact that the solar radiation and the temperature vary while the test is carried out, and that the I-V curve does not have uniformity, and a high-power rheostat is not common in the market, making this method only applicable to low-power PV generators (<1 kW).…”

Section: Variable Resistor Tracer or Rheostatmentioning

confidence: 99%

A Review of I–V Tracers for Photovoltaic Modules: Topologies and Challenges

et al. 2021

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Current–voltage (I–V) curve tracers are used for measuring voltage and current in photovoltaic (PV) modules. I–V curves allow identifying certain faults in the photovoltaic module, as well as quantifying the power performance of the device. I–V curve tracers are present in different topologies and configurations, by means of rheostats, capacitive loads, electronic loads, transistors, or by means of DC–DC converters. This article focuses on presenting all these configurations. The paper shows the electrical parameters to which the electronic elements of the equipment are exposed using LTSpice, facilitating the appropriate topology selection. Additionally, a comparison has been included between the different I–V tracers’ topologies, analyzing their advantages and disadvantages, considering different factors such as their flexibility, modularity, cost, precision, speed or rating, as well as the characteristics of the different DC–DC converters.

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“…The operation and maintenance activities in photovoltaic (PV) plants can benefit from an accurate model of the expected PV plant's power or current efficiency. PV operators can identify underperformance due to failures or soiling with this efficiency model, proposing new techniques such as [1][2][3]. Even though a PV module datasheet provides information that can be used to get an idea of the electrical characteristics of a PV plant, that information has been obtained under laboratory conditions which, in several cases, are different from outdoor conditions.…”

Section: Introductionmentioning

confidence: 99%

Validation of an outdoor efficiency model for photovoltaic modules

Murillo-Soto

Meza²

2022

Rev.Fac.Ing.Univ.Antioquia

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The study of the efficiency of photovoltaic modules in outdoor conditions allows determining their correct operation and to detect abnormal behavior. Most efficiency models developed use experimental data that are difficult to obtain as they require specialized equipment and a long measurement time under laboratory conditions to identify or adjust the model parameters. In this article, we propose a linear equation that estimates the efficiency of photovoltaic modules using irradiance and back panel temperatura measurements as input variables. The main contribution is that the parameters of the proposed model can be obtained directly from the reference information (IEC61853-1 power values) without any data regression. The proposed model was validated using experimental data obtained from three different climatic zones during a whole year. The model shows the best fit to the data of four analyzed models, and its normalized root mean square deviation for all photovoltaic modules is less than 3.6%; this dispersion could be explained by the fact that the outdoor data have an uncertainty of around 3.0%

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Low-cost infrared thermography in aid of photovoltaic panels degradation research

Cited by 4 publications

References 17 publications

Measuring outdoor I–V characteristics of PV modules and systems

Measuring outdoor I–V characteristics of PV modules and systems

A Review of I–V Tracers for Photovoltaic Modules: Topologies and Challenges

Validation of an outdoor efficiency model for photovoltaic modules

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