A Generalized Electric Model for Mono and Polycrystalline Silicon in the Presence of Cracks and Random Defects

Berardone, Irene; Corrado, Mauro; Paggi, Marco

doi:10.1016/j.egypro.2014.08.005

Cited by 25 publications

(5 citation statements)

References 9 publications

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“…Therefore, both categories can be classified as one type of crack. This result is different from the results explained in [7,8] because all the measured data in our experiments were taken from a real-time long-term environmental measurements instead of laboratory under controlled climate conditions. Based on the proposed statistical approach, the T-test values for all examined diagonal crack PV modules (12 PV modules) are shown in Table II.…”

Section: A Case Study 1 : Diagonal Crackcontrasting

confidence: 54%

“…The thermography technique is simpler to implement, but the accuracy of the image is lower than with the EL technique, and does not allow the estimation of the area (in mm 2 ) that is broken in the solar cells [7]. Therefore, the image technique used in this work is based on EL imaging method which also is illustrated and discussed briefly in the work of Berardone et al [8] and Spataru et al [9].…”

Section: Introductionmentioning

confidence: 99%

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The impact of cracks on the performance of photovoltaic modules

Dhimish

Holmes

Dales

et al. 2017

2017 IEEE Manchester PowerTech

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Abstract-This paper presents a statistical approach for identifying the significant impact of cracks on the output power performance of photovoltaic (PV) modules. Since there are a few statistical analysis of data for investigating the impact of cracks in PV modules in real-time long-term data measurements. Therefore, this paper will demonstrate a statistical approach which uses two statistical techniques: T-test and F-test. Electroluminescence (EL) method is used to scan possible cracks in the examined PV modules. Moreover, virtual instrumentation (VI) LabVIEW software is used to predict the theoretical output power performance of the examined PV modules based on the analysis of I-V and P-V curves. The statistical analysis approach has been validated using 45 polycrystalline PV modules at the University of Huddersfield, UK.

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Section: A Case Study 1 : Diagonal Crackcontrasting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

The impact of cracks on the performance of photovoltaic modules

Dhimish

Holmes

Dales

et al. 2017

2017 IEEE Manchester PowerTech

View full text Add to dashboard Cite

show abstract

“…The thermography technique is simpler to implement, but the accuracy of the image is lower than with the EL technique, and does not allow the estimation of the area (in 2 mm) that is broken in the solar cells [12,13]. Therefore, in this paper we have used EL imaging method which can be illustrated and discussed briefly in the following literature [14][15][16].…”

mentioning

confidence: 99%

Effect of micro cracks on photovoltaic output power: case study based on real time long term data measurements

Dhimish

Holmes

Dales

et al. 2017

Micro & Nano Letters

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This paper analyses the impact of micro cracks on photovoltaic (PV) module output power performance and energy production. Electroluminescence imaging technique was used to detect micro cracks affecting PV modules. The experiment was carried out on ten different PV modules installed at the University of Huddersfield, United Kingdom. The examined PV modules which contains micro cracks shows large loss in the output power comparing to the theoretical output power predictions, where the maximum power loss is equal to 80.73%. LabVIEW software was used to simulate the theoretical output power of the examined PV modules under real time long term data measurements.

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“…12b). Such cracks are very harmful, since their electric resistance may increase under the action of mechanical loading and degrade with time due to thermoelastic effects [21][22][23].…”

Section: F Advanced Diagnostic Techniquesmentioning

confidence: 99%

A power and energy procedure in operating photovoltaic systems to quantify the losses according to the causes

et al. 2015

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Recently, after high feed-in tariffs in Italy, retroactive cuts in the energy payments have generated economic concern about several grid-connected photovoltaic (PV) systems with poor performance. In this paper the proposed procedure suggests some rules for determining the sources of losses and thus minimizing poor performance in the energy production. The on-site field inspection, the identification of the irradiance sensors, as close as possible the PV system, and the assessment of energy production are three preliminary steps which do not require experimental tests. The fourth step is to test the arrays of PV modules on-site. The fifth step is to test only the PV strings or single modules belonging to arrays with poor performance (e.g., I-V mismatch). The sixth step is to use the thermo-graphic camera and the electroluminescence at the PV-module level. The seventh step is to monitor the DC racks of each inverter or the individual inverter, if equipped with only one Maximum Power Point Tracker (MPPT). Experimental results on real PV systems show the effectiveness of this procedure.

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A Generalized Electric Model for Mono and Polycrystalline Silicon in the Presence of Cracks and Random Defects

Cited by 25 publications

References 9 publications

The impact of cracks on the performance of photovoltaic modules

The impact of cracks on the performance of photovoltaic modules

Effect of micro cracks on photovoltaic output power: case study based on real time long term data measurements

A power and energy procedure in operating photovoltaic systems to quantify the losses according to the causes

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