Submit manuscript...
MOJ
eISSN: 2577-8374

Solar and Photoenergy Systems

Research Article Volume 1 Issue 1

Comparison of reliability tests by characterization of degradation in photovoltaic modules

Sagarika Kumar, Subnoy Roy, Rajesh Gupta

Department of Energy Science & Engineering, Indian Institute of Technology Bombay, India

Correspondence: Rajesh Gupta, Department of Energy Science & Engineering, Indian Institute of Technology Bombay, Powai, Mumbai-400076, India

Received: April 29, 2017 | Published: September 20, 2017

Citation: Kumar S, Roy S, Gupta R (2017) Comparison of reliability tests by characterization of degradation in photovoltaic modules. Open Acc J Photoen 1(1): 00006. DOI: 10.15406/mojsp.2017.01.00006

Download PDF

Abstract

Standard reliability tests have been developed for photovoltaic (PV) modules to assess the reliability of their performance in a short period of time. These tests generate different modes of degradation by combination of environmental stresses. There is a need to differentiate between these standard tests on the basis of severity. This helps to understand the individual and combined degradation effect occurred due to temperature and humidity stress, which is the focus of the present study. In this work, standard tests viz. humidity freeze (HF), thermal cycling (TC) and damp heat test (DH) have been performed on different batches of multi–crystalline silicon PV modules. One batch of modules was subjected to combined tests wherein these three tests were performed in succession and another batch was subjected to the individual tests. Spatial characterization techniques i.e. dark lock–in–thermography (DLIT) and electroluminescence (EL) imaging were used in tandem with illuminated current voltage (I–V) analysis for fast and reliable detection and quantification of degradation caused by these tests. The application of these techniques was found to be helpful in identification of different modes of degradation after the standard tests. The study has been instrumental in understanding the severity of individual tests and their sequences along with identification of the common modes of degradation by exploiting the available characterization techniques.

Keywords: Photovoltaic, Multicrystalline silicon modules, Reliability, Degradation, Defects, Characterization

Abbreviations

PV: Photovoltaic, EL: Electroluminescence, DLIT: Dark Lock–in–Thermography, Pmax: Maximum Output Power, Isc: Short Circuit Current, Voc: Open Circuit Voltage, Rs: Series Resistance, FF: Fill Factor, TC: Thermal Cycling, HF: Humidity Freeze, DH: Damp Heat

Introduction

The recent large scale deployment of multi crystalline silicon photovoltaic (PV) modules in the field has risen the need for in–depth studies of degradation in a fast and efficient manner. In this context, different standard test procedures as specified under IEC 61215 viz. thermal cycling (TC), humidity freeze (HF) and damp heat (DH) have been developed for crystalline silicon PV modules.1 These tests undergo different degradation mechanisms on application of various environmental stress factors in an accelerated frame and help in assessing the reliability of the modules in a short period of time.2,3 These different tests when exploited in PV modules, checks for the module reliability on different aspects such as high temperature effect, thermal ramping, and humidity ingression effect etc. These aspects essentially affect the module performance individually or in combination to one another. In order to understand the modules behavior under these stress factors, a comparative study of these standard reliability tests can be helpful. Earlier, illuminated current voltage (I–V) analysis has been used for extraction of global electrical parameters in relation to the degradation observed after these tests.4 However, I–V analysis alone cannot be used for defect analysis as it cannot map the cause of the degradation. It is essential to obtain spatially resolved information of the PV modules to understand the channel of degradation. Hereof, Electroluminescence (EL) and Dark lock–in–thermography (DLIT) in addition to non–spatial IV investigation can be used for detection and analysis of defects in PV modules. In EL imaging technique, the intensity of the EL emission is proportional to the number of minority carriers in the silicon solar cell. The number of minority carriers effects the local cell voltage which is mapped as the EL emmision in the images. 5–7 In this technique, the defected regions can be spatially detected as low intensity areas or dark spots. This imaging technique is used in the production line during the fabrication process of the solar cells to identify material defects like grain boundaries and inhomogeneity caused by dislocation. Also, the post production defects induced in the solar cells such as mechanical damage to the wafer, fingers and other electrical contacts can be detected by this technique.8 In the DLIT technique the solar cell is thermally excited by passing a periodic electrical current into it.9 It can be used for detection and characterization of the defects observed in the solar cells by imaging the temperature variation over the cells due to the electrical current passed through it. This technique has not been vastly used for PV module investigation as the interpretation of the results are not straight forward as compared to solar cell applications. This technique has been used dominantely for localization of electrical defects such as shunts.10–12 They are usually process or material induced short circuits that appear bright due to the increase in flow of current accumulation, at those points after biasing in dark conditions. In this study, three standard qualification tests viz. TC, HF and DH are studied on multi–crystalline silicon PV modules followed by defect characterization by IV analysis, EL and DLIT imaging techniques. These tools have been used in tandem for the analysis of the observed degradation after the standard tests by extraction of the spatially resolved information of the defects in the modules. The test has been conducted on two module batches as shown in Figure 1. Combined tests were conducted to observe the difference in mode of degradation when conducted in succession. The tests have been compared on the basis of the observed degradation in Pmax along with correlation with images obtained after the spatial characterization of the PV modules. This study was conducted for understanding the nature of the tests and identification of their severity by analysing their effect on the PV modules.

Materials and Methods

The study was carried out on batches of multi–crystalline silicon PV modules from the same manufacturer. The modules were chosen to have similar electrical and geometrical parameters for a proper comparative study. All the modules had an area of 0.24m2 with 36 cell in series. The electrical parameters obtained for the study are maximum output power (Pmax), series resistance (Rs), short circuit current (Isc), fill factor (FF) and open circuit voltage (Voc). Standard tests procedures have been performed on multi–crystalline silicon PV modules, whose test conditions have been described in Figure 1. Initially, the modules have been visually inspected and pre–characterized by I–V, EL and DLIT techniques. These measurements were used as reference for the degradation study. Sample modules have been divided in two batches, batch–I was subjected to these three tests in succession in the order HF, TC and DH for similar duration of operation. In batch–II different modules were subjected to the individual tests separately. The detailed test sequence has been described in Figure 2. TC test consisting of a sequence of 50 cycles, of 5 hours each was conducted at a temperature of +85°C to –40°C with a ramp rate of 1.67°C/min, as shown in Figure 1(a). HF test consisting of a sequence of 10 cycles, of 24 hours each was carried out at a temperature of +85°C to –40°C at similar ramp rate as TC along with 1 hour of dwell period at 85°C/85% RH, as shown in Figure 1b. DH test was performed at constant 85°C/85% RH for 250 hours. The tests were performed in an environmental chamber, which was dedicated to run these standard tests on PV modules. Characterizations by EL imaging and DLIT technique have been used for investigation of defects after every step of the sequence. The measurements have been taken at constant room temperature. For EL imaging, a silicon based charged couple device (CCD) camera has been used in a dark enclosure. The 1024x1024 pixel silicon CCD detector used in the camera was sensitive in the range of 300–1050 nm. The PV modules were forward biased at short circuit current value (Isc) by a programmable power supply. For DLIT experimental measurements, thermal images of the modules have been obtained by a 320 x 256 pixels cooled indium antimonide (InSb) detector IR camera operating in the spectral range of 3–5 μm. The modules were forward biased at Isc by a programmable power supply.

Figure 1 Test profile for (a) TC and (b) HF test.
Figure 2 Experimental methodology.

Results and Discussion

In this section, the experimental results after DLIT and EL imaging are discussed for analysis of degradation observed after the standard reliability tests. I–V analysis has been discussed to investigate the preliminary signs of degradation and has been correlated with the results obtained from the EL and DLIT images.

Illuminated current voltage (I–V) analysis

TC, HF and DH were performed for a time span of 250 hours. Visual inspection of the PV modules did not reveal any defects visible to the naked eye after the tests. The loss in the electrical parameters for sample modules after each test has been shown in Table 1. The I–V analysis showed significant degradation in maximum output power (Pmax) for all the modules. Here, Pmax was observed to degrade in the decreasing order of TC, HF and DH for the batch–II modules where modules were subjected to the individual tests separately. The variation in Isc and Voc was observed to be non–significant (<1%) for the duration of the test. Loss in fill factor (FF) was seen as the major contributor for the loss in output power. One to one correspondance was observed between the values of FF and Pmax. The loss in FF loss has been attributed to the increment in series resistance (Rs). The maximum degradation in Pmax was observed after TC (~7%) where the Rs increased the most (~20%), on the other hand the loss in power after DH was observed to be about 2% with an increment in Rs of almost 5%. The I–V analysis of the batch–I modules also showed similar results where Pmax was observed to degrade in the decreasing order of TC, HF and DH and the reason for loss in Pmax was also loss in FF. On comparison of the results between the two test batches, larger amount of degradation in Pmax was observed for batch–I modules as compared to batch–II modules, as shown in Figure 3. To establish the difference between these two test batches, the change in Pmax for DH that was performed last in the combined test series can be observed. Here, for the two batches of DH the degradation in Pmax was 2.8% and 1.7% for batch I and II respectively. This shows that some extra effect of the preceeding test HF and TC was observed on the DH test modules, which was last in the sequence. This can be termed as lingering effect of the degradation due to preceeding tests on the subsequent one. This highlights the severity of the two tests, HF and TC over the DH test. It can also be inferred from the above results that the degradation after cyclic tests was more than the non–cyclic test (DH) in a fixed duration of time. In order to validate the effect of TC, an additional 10 cycles of HF were performed on the batch–II HF test modules. Here, the degradation in Pmax was 5%, whereas, the difference in Pmax from batch–I TC modules was 7%. This shows the severity of the individual TC test over the HF test.

Figure 3 Comparison of power degradation after tests from batch-I and batch-II modules.

Degradation in parameters (%)

Batch-I

 

 

Batch -II

 

 

HF

TC

DH

HF

TC

DH

Pmax

4.3

7.1

2.8

4.6

6.7

1.7

FF

3.9

7

2.2

4.5

6.5

1.3

Rs

16.3

20.5

5

16

20.1

5.1

Table 1 Loss in electrical parameters after the test of batch I and batch II module

Spatial characterization of the degraded modules

EL and DLIT imaging were carried out to extract the spatially resolved information about the defects in the modules and also for establishment of correspondence with the results obtained after the I–V analysis. In the EL images of both the batches, distinct rectangular shaped areas were observed after both HF and TC tests as shown in Figure 4a(ii), 4a(iii) & 5a(ii). These can be identified as broken front grid fingers. On comparison of these images with the I–V results, it can be inferred that these broken fingers have caused the increment in Rs. Whereas, such distinct dark areas did not appear after the DH tests for the modules as visible in Figure 4a(iv) & 6a(ii). The increment in Rs in this case can be due to grid corrosion after the penetration of moisture through the backsheet of the module. On observing the progression of the finger defects, after TC test in the batch–I modules, the number of finger defects were observed to increase in some cell portions that appeared completely dark as shown in Figure 4a(iii). The completely dark areas can be attributed to the absolute detachment of fingers from the wafer. These regions will not participate in the current carrying process, and will cause the degradation in Pmax. It was also observed that the trend of number of finger defects corresponds to the increase in Rs after all the tests. On observing the EL images after DH test, no additional finger breakages were observed after the test that was conducted in succession to TC (Figure 4a(iv)). The cycle effect in TC and HF tests caused an earlier attainment of degradation. The cyclic nature of the tests cause more fatigue stress due to alternating low and high temperature within a fixed interval. Whereas, the mode of degradation in non–cyclic DH test is due to penetration of moisture through the back sheet, which is a long–term process. Some bright spots were observed in the DLIT images after the 50 TC cycles as seen in Figure 5b(ii). Similar spots are visible in Figure 4b(iii) for the combined test batch modules after TC test. A corresponding decrease in the value of Rsh was observed from the I–V analysis, these could possibly be due to presence of localized shunts. The interpretations from both the spatial and non–spatial characterization techniques led to similar findings and were found to be in correspondance to eachother.

Figure 4 (a) EL images of batch I modules (i) initially (ii) after 10 cycles of HF (iii) after 50 cycles of TC (iv) after 250h of DH.
(b) DLIT images of batch I modules (i) initially (ii) after 10 cycles of HF (iii) after 50 cycles of TC (iv) after 250hrs of DH.
Figure 5 (a) EL images of batch II modules (i) initially (ii) after 50 cycles of TC.
(b) DLIT images of batch II modules (i) initially (ii) after 50 cycles of TC.
Figure 6 (a) EL images of batch II modules (i) initially (ii) after 250h of DH.
(b) DLIT images of batch II modules (i) initially (ii) after 250h of DH.

Conclusions

In this paper, qualitative estimation and analysis of degradation after standard tests viz; thermal cycling, humidity freeze and damp heat test has been presented by dark lock–in–thermography and electroluminescence imaging on multi–crystalline silicon PV modules. Illuminated I–V characteristic parameters were used in support of the spatial images for quantification of degradation in terms of electrical parameters after the standard tests. Results obtained from the analysis have been used for comparison of different amount of degradation observed after the tests. From the investigation, cyclic tests were found to cause more degradation in comparion to the non–cycling test. Finger defects were found to be the major cause of degradation after the cylic tests, visible as dark rectangular regions in the EL images. Corresponding loss in power was observed from the I–V analysis dominantly due to loss in fill factor attributed to increment in series resistance. TC test was found to be the most severe causing maximum degradation in comparison to DH test in a fixed duration of time. A lingering effect of TC and HF test was observed on DH test which showed the dependence of the tests in a sequence. The study was able to comment on the severity of individual tests and sequences along with identification of the common modes of degradation by exploiting the available characterization techniques.

Acknowledgements

Funding was provided by Department of Science and Technology (DST) in India and Research Councils UK (RCUK) Energy Programme in UK.

Conflicts of interest

The author declares that there is no conflict of interest.

References

  1. IEC 61215. Crystalline Silicon Terrestrial Photovoltaic (PV) modules–Design qualification and type approval, (2nd edn). 2005.
  2. Dumas LN, Shumka A. Photovoltaic Module Reliability Improvement through Application Testing and Failure Analysis. IEEE Trans Reliab.1982;3(1):228–234.
  3. Ferrara C, Philipp D. Why do PV modules fail? Energy Procedia, International conference on materials for advanced technologies, Suntech. Singapore pp. 2012;379–387.
  4. Khatri R, Agarwal S, Saha I, et al. Study on long term reliability of photo–voltaic modules and analysis of power degradation using accelerated aging tests and electroluminescence technique. Energy Procedia. 2011;8(1):396–401.
  5. Fuyuki T, Kondo H, Kaji Y, et al. Analytic findings in the electroluminescence characterization of crystalline silicon solar cells. J Appl Phys. 2007;101(2):1–1.
  6. Fuyuki T, Kitiyanan A. Photographic diagnosis of crystalline silicon solar cells utilizing electroluminescence. Appl Phys A Mater Sci Process. 2009;96(1):189–196.
  7.  Roy S, Somasundaran P, Gupta R. Estimation of shunt resistance by electroluminescence imaging. 29th European Photovoltaic Solar Energy Conference and Exhibition. 2014.
  8. Chaturvedi P, Hoex B, Walsh TM. Broken metal fingers in silicon wafer solar cells and PV modules. Sol Energy Mater Sol Cells. 2013;108(1):78–81.
  9. Breitenstein O, Warta W, Langenkamp M. Lock–In Thermography– basics and use for evaluating electronic devices and materials. (2nd edn). 2010.
  10. Gupta R, Somasundaran P, Nandi DK. Electrical simulation and characterization of shunts in solar cells. Appl Mech Mater. 2011;110–116:2453–2457.
  11. Breitenstein O, Langenkamp M, Lang O, Schirrmacher A. Shunts due to laser scribing of solar cells evaluated by highly sensitive lock–in thermography. Sol Energy Mater Sol Cells. 2001;65(1–4):55–62.
  12. Somasundaran P, Sinha A, Gupta R. Simulation and characterization of spatial variation of shunts in industrial solar cells by PSPICE and Dark Lock–in Thermography. 27th European Photovoltaic Solar Energy Conference and Exhibition. 2012.
Creative Commons Attribution License

©2017 Kumar, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.