Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-29T11:28:05.946Z Has data issue: false hasContentIssue false

Photoluminescence imaging for quality control in silicon solar cell manufacturing

Published online by Cambridge University Press:  07 June 2016

Daniel Chung*
Affiliation:
Australian Centre for Advanced Photovoltaics, University of New South Wales, Sydney, Australia
Bernhard Mitchell
Affiliation:
Australian Centre for Advanced Photovoltaics, University of New South Wales, Sydney, Australia
Jürgen W. Weber
Affiliation:
BT Imaging Pty Ltd, Sydney, Australia
Neil Yager
Affiliation:
BT Imaging Pty Ltd, Sydney, Australia
Thorsten Trupke
Affiliation:
Australian Centre for Advanced Photovoltaics, University of New South Wales, Sydney, Australia BT Imaging Pty Ltd, Sydney, Australia
*
Get access

Abstract

We report on progress with PL imaging applications in silicon solar cell production, specifically focusing on the characterization of silicon bricks prior to wafer cutting. Silicon bricks represent an ideal opportunity to characterize and quantify the electronic material quality at an early stage of the PV value chain. Quantitative data on bulk lifetime can be obtained on bricks without any specific sample preparation, unlike unprocessed wafers. Spatially resolved bulk lifetime, interstitial iron concentration, and defect density measurements are demonstrated on bricks from different manufacturers including both high performance multicrystalline and older generation multicrystalline bricks. We find significant variability in bulk lifetime and iron concentration across the samples which is not related to its date of manufacture. However we do see a qualitative reduction in crystallographic defects in the newer high performance multicrystalline bricks. Data is parameterized in different ways to suggest possible paths to better predict solar cell efficiencies from an early stage of inspection.

Brick level PL measurements were previously performed using a conventional area scanning PL imaging system, which is associated with light spreading artefacts of weakly absorbed light. To overcome these artefacts, a new line scanning photoluminescence imaging system is used. We show a reduction in contrast smearing between high- and low lifetime regions in the new setup leading to image quality suitable for defect detection and quantitative measurements without deconvolution correction.

Type
Articles
Copyright
Copyright © Materials Research Society 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Fraunhofer ISE, “2015 Photovoltaics Report,” 2015. [Online]. Available: http://www.ise.fraunhofer.de/de/downloads/pdf-files/aktuelles/photovoltaics-report-in-englischer-sprache.pdf. [Accessed: 16-Aug-2015].Google Scholar
Zhang, X., Gong, L., Wu, B., Zhou, M., and Dai, B., “Characteristics and value enhancement of cast silicon ingots,” Sol. Energy Mater. Sol. Cells, vol. 139, pp. 2733, 2015.Google Scholar
Mitchell, B., Trupke, T., Weber, J. W., and Nyhus, J., “Bulk minority carrier lifetimes and doping of silicon bricks from photoluminescence intensity ratios,” J. Appl. Phys., vol. 109, no. 2011, pp. 012, 2011.CrossRefGoogle Scholar
Wagner, H., Hofstetter, J., Mitchell, B., Altermatt, P. P., and Buonassisi, T., “Device architecture and lifetime requirements for high efficiency multicrystalline silicon solar cells,” Energy Procedia, vol. 77, pp. 225230, 2015.CrossRefGoogle Scholar
Green, M. A., “The Passivated Emitter and Rear Cell (PERC): From conception to mass production,” Sol. Energy Mater. Sol. Cells, vol. 143, pp. 190197, Dec. 2015.Google Scholar
Hofstetter, J., Fenning, D. P., Powell, D. M., Morishige, A. E., and Wagner, H., “Sorting Metrics for Customized Phosphorus Diffusion Gettering,” IEEE J. Photovoltaics, vol. 4, no. 6, pp. 14211428, 2014.CrossRefGoogle Scholar
Mitchell, B., Weber, J. W., Walter, D., Macdonald, D., and Trupke, T., “On the method of photoluminescence spectral intensity ratio imaging of silicon bricks: Advances and limitations,” J. Appl. Phys., vol. 112, pp. 013, 2012.Google Scholar
Zoth, G. and Bergholz, W., “A fast, preparation-free method to detect iron in silicon,” J. Appl. Phys., vol. 67, no. 11, pp. 67646771, 1990.CrossRefGoogle Scholar
Mitchell, B., Macdonald, D., Schon, J., Weber, J. W., Wagner, H., and Trupke, T., “Imaging As-Grown Interstitial Iron Concentration on Boron-Doped Silicon Bricks via Spectral Photoluminescence,” IEEE J. Photovoltaics, vol. 4, no. 5, pp. 11851196, 2014.Google Scholar
Bowden, S. and Sinton, R. A., “Determining lifetime in silicon blocks and wafers with accurate expressions for carrier density,” J. Appl. Phys., vol. 102, no. 2007, 2007.Google Scholar
Carnel, L., Hjemås, P. C., Lu, T., Nyhus, J., Helland, K., and Gjerstad, , “Influence of wafer quality on cell performance,” Conf. Rec. IEEE Photovolt. Spec. Conf., pp. 000036000038, 2009.Google Scholar
You, D., Du, J., Zhang, T., Wan, Y., Shan, W., Wang, L., and Yang, D., “The dislocation distribution characteristics of a multi-crystalline silicon ingot and its impact on the cell efficiency,” in Conference Record of the IEEE Photovoltaic Specialists Conference, 2010, pp. 22582261.CrossRefGoogle Scholar
Fu, S., Xiong, Z., Feng, Z., Verlinden, P. J., and Huang, Q., “Cell performance prediction based on the wafer quality,” Energy Procedia, vol. 38, no. DECEMBER, pp. 4348, 2013.CrossRefGoogle Scholar
Gibaja, F., Bartel, T., Heuer, M., Graf, O., Kaes, M., and Kirscht, F., “Silicon ingot quality and resulting solar cell performance,” Energy Procedia, vol. 38, pp. 551560, 2013.Google Scholar
Yang, Y. M., Yu, A., Hsu, B., Hsu, W. C., Yang, A., and Lan, C. W., “Development of high-performance multicrystalline silicon for photovoltaic industry,” Progress in Photovoltaics: Research and Applications, vol. 20, no. 1, pp. 611, 2013.Google Scholar
Schubert, M. C., Schon, J., Schindler, F., Kwapil, W., Abdollahinia, A., Michl, B., Riepe, S., Schmid, C., Schumann, M., Meyer, S., and Warta, W., “Impact of impurities from crucible and coating on mc-silicon quality-The example of iron and cobalt,” IEEE J. Photovoltaics, vol. 3, no. 4, pp. 12501258, 2013.CrossRefGoogle Scholar
Macdonald, D., Cuevas, A., Kinomura, a., Nakano, Y., and Geerligs, L. J., “Transition-metal profiles in a multicrystalline silicon ingot,” J. Appl. Phys., vol. 97, no. 3, 2005.CrossRefGoogle Scholar
Zhong, G., Yu, Q., Huang, X., and Liu, L., “Influencing factors on the formation of the low minority carrier lifetime zone at the bottom of seed-assisted cast ingots,” J. Cryst. Growth, vol. 402, pp. 6570, 2014.CrossRefGoogle Scholar
Lan, C. W., Yang, Y. M., Yu, a., Wu, Y. C., Hsu, B., Hsu, W. C., and Yang, a., “Recent Progress of Crystal Growth Technology for Multi-Crystalline Silicon Solar Ingot,” Solid State Phenom., vol. 242, pp. 2129, 2015.Google Scholar
Laurent, J., Enjalbert, N., Drevet, B., Jouini, A., and Martin, C., “Crucible contribution to cell efficiency and process yield,” 31st Eur. Photovolt. Sol. Energy Conf. Exhib., 2015.Google Scholar