Skip to main content Accessibility help
×
Home

Photovoltaics Informatics: Harnessing Energy Science via Data-driven Approaches

  • Changwon Suh (a1), Kristin Munch (a1), David Biagioni (a2), Stephen Glynn (a1), John Scharf (a1), Miguel A. Contreras (a1), John D. Perkins (a1), Brent P. Nelson (a1) and Wesley B. Jones (a1)...

Abstract

We discuss our current research focus on photovoltaic (PV) informatics, which is dedicated to functionality enhancement of solar materials through data management and data mining-aided, integrated computational materials engineering (ICME) for rapid screening and identification of multi-scale processing/structure/property/performance relationships. Our current PV informatics research ranges from transparent conducting oxides (TCO) to solar absorber materials. As a test bed, we report on examples of our current data management system for PV research and advanced data mining to improve the performance of solar cells such as CuInxGa1-xSe2 (CIGS) aiming at low-cost and high-rate processes. For the PV data management, we show recent developments of a strategy for data modeling, collection and aggregation methods, and construction of data interfaces, which enable proper archiving and data handling for data mining. For scientific data mining, the value of high-dimensional visualizations and non-linear dimensionality reduction is demonstrated to quantitatively assess how process conditions or properties are interconnected in the context of the development of Al-doped ZnO (AZO) thin films as the TCO layers for CIGS devices. Such relationships between processing and property of TCOs lead to optimal process design toward enhanced performance of CIGS cells/devices.

Copyright

References

Hide All
1. Crowley, J., “Thoughts on Digital Data, SIAM News,” December 14, 2010.
2. Simmons, J. and Zhao, J.-C., JOM, 63, 24 (2011).
3. Suh, C., Gorrie, C.W., Perkins, J.D., Graf, P.A., and Jones, W.B., PVSC. Proc., Honolulu, HI, 002497 (2010).
4. Chong, I., Albin, S.L., and Jun, C., IIE Trans. Qual. Rel. Eng., 39, 795 (2007).
5. Suh, C., Gorrie, C.W., Perkins, J.D., Graf, P.A., and Jones, W.B., Acta Mater. 59, 630 (2011).
6. Dengiz, O., Smith, A.E. and Nettleship, I., Int. J. Prod. Res. 44, 2839 (2006).
7. Scott, D.J. et al. ., J. Chem. Inf. Model. 48, 449 (2008).
8. Ortiz, C., Eriksson, O., and Klintenberg, M., Comp. Mater. Sci. 44, 1042 (2009).
9. Stan, M., Mater. Today, 12, 20 (2009).
10. Baumann, S., “Outsourcing of Analysis: Choosing the Right Technique,” Microelectronic Failure Analysis: Desk Reference 2002 Supplement, ed. Electronic Device Failure Society Publications Committee (ASM International, Materials Park, OH, 2002), pp. 112.
11. Foster, I., Vöckler, J., Wilde, M., and Zhao, Y., Proc. 2003 CIDR Conf. Innov. Data Sys. Res. (2003).
12. Wemple, S.H., and DiDomenico, M., Phys. Rev. Lett. 23, 1156 (1969).
13. Suh, C., Glynn, S., Biagioni, D., Scharf, J., Contreras, M.A., Noufi, R., and Jones, W.B., PVSC. Proc., Seattle, WA, NREL/CP-2C0050693 (2011).
14. Scheer, R. and Schock, H., Chalcogenide Photovoltaics: Physics, Technologies, and Thin Film Devices (Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany, 2011) p. 305.
15. Chen, P. and Pin-Shan, P., ACM Trans. Database Sys. 1, 9 (1976).
16. Connolly, T. and Begg, C., Database Solutions: A Step-by-step Guide to Building Databases, 2 nd ed. (Addison Wesely, Essex, 2004), p. 413.
17. Suh, C., Kim, K., Berry, J.J., Lee, J., and Jones, W.B., in Data Mining-Aided Crystal Engineering for the Design of Transparent Conducting Oxides, (Mater. Res. Soc. Proc., 1315, 2011) mrsf10-1315-mm02-07.
18. Leban, G., Zupan, B., Vidmar, G. and Bratko, I., Data Min. Knowl. Disc. 13, 119 (2006).

Keywords

Photovoltaics Informatics: Harnessing Energy Science via Data-driven Approaches

  • Changwon Suh (a1), Kristin Munch (a1), David Biagioni (a2), Stephen Glynn (a1), John Scharf (a1), Miguel A. Contreras (a1), John D. Perkins (a1), Brent P. Nelson (a1) and Wesley B. Jones (a1)...

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed