Spatially resolved characterization of optical and recombination losses for different industrial silicon solar cell architectures

Author:

Schneller E. J.123,Hossain M. J.24,Frota R.24,Iqbal N.12,Colvin D.123,Curran A. J.56,Wang M.57,Braid J. L.56,Bruckman L. S.56,French R. H.567,Huey B. D.8,Jaubert J.-N.9,Davis K. O.1234ORCID

Affiliation:

1. Department of Materials Science and Engineering, University of Central Florida, Orlando, FL, USA

2. Resilient Intelligent Sustainable Energy Systems Faculty Cluster, University of Central Florida, Orlando, FL, USA

3. Florida Solar Energy Center, University of Central Florida, Cocoa, FL, USA

4. CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, FL, USA

5. SDLE Research Center, Case Western Reserve University, Cleveland, OH, USA

6. Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, USA

7. Department of Macromolecular Science and Engineering, Case Western, Reserve University, Cleveland, OH, USA

8. Department of Materials Science and Engineering, University of Connecticut, Storrs, CT, USA

9. Canadian Solar, Inc., Guelph, Ontario, Canada

Abstract

In this work, spatially resolved characterization methods are used to identify loss mechanisms for common [Formula: see text]-type silicon solar cell architectures, including multicrystalline aluminum back surface field (Al-BSF), monocrystalline Al-BSF, monocrystalline passivated emitter and rear cells (PERC), and bifacial monocrystalline PERC. The characterization methods used in this work include suns-[Formula: see text], photoluminescence imaging, and spatially resolved external quantum efficiency and reflectance measurements. The optical and recombination losses are driven by the material properties, cell processing conditions, and device architecture. These losses are quantified and categorized in terms of underlying mechanisms (e.g., front reflectance, escape reflectance, front recombination, and parasitic optical absorption and recombination in the bulk and rear). The ability to create images of these loss parameters can be used to gain more insight into the materials and manufacturing processes used to produce solar cells, and examples are given in this work to illustrate how these images can help reveal the origin of defects.

Funder

Office of Energy Efficiency and Renewable Energy

Publisher

World Scientific Pub Co Pte Lt

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

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