Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance
We couple numerical process and device simulations to provide a framework for understanding the combined effects of as-grown wafer impurity distribution, processing parameters, and solar cell architecture. For this study, we added the Impurity-to-Efficiency simulator to Synopsys’ Sentaurus Process s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en_US |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/1721.1/107393 https://orcid.org/0000-0001-9352-8741 https://orcid.org/0000-0001-8345-4937 |
| _version_ | 1826193851904163840 |
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| author | Avci, Ibrahim del Cañizo, Carlos Morishige, Ashley Elizabeth Wagner, Hannes Hofstetter, Jasmin Buonassisi, Anthony |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Avci, Ibrahim del Cañizo, Carlos Morishige, Ashley Elizabeth Wagner, Hannes Hofstetter, Jasmin Buonassisi, Anthony |
| author_sort | Avci, Ibrahim |
| collection | MIT |
| description | We couple numerical process and device simulations to provide a framework for understanding the combined effects of as-grown wafer impurity distribution, processing parameters, and solar cell architecture. For this study, we added the Impurity-to-Efficiency simulator to Synopsys’ Sentaurus Process software using the Alagator Scripting Language. Our results quantify how advanced processing can eliminate differences in efficiency due to different as-grown impurity concentrations and due to different area fractions of defective wafer regions. We identify combinations of as-grown impurity distributions and process parameters that produce solar cells limited by point defects and those that are limited by precipitated impurities. Gettering targeted at either point defect or precipitate reduction can then be designed and applied to increase cell efficiency. We also visualize the post-processing iron and total recombination distributions in 2D maps of the wafer cross-section. PV researchers and companies can input their initial iron distributions and processing parameters into our software and couple the resulting process simulation results with a solar cell device design of interest to conduct their own analyses. The Alagator scripts we developed are freely available online at http://pv.mit.edu/impurity-to-efficiency-i2e-simulator-for-sentaurus-tcad/. |
| first_indexed | 2024-09-23T09:46:23Z |
| format | Article |
| id | mit-1721.1/107393 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:46:23Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1073932022-09-26T13:37:34Z Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance Avci, Ibrahim del Cañizo, Carlos Morishige, Ashley Elizabeth Wagner, Hannes Hofstetter, Jasmin Buonassisi, Anthony Massachusetts Institute of Technology. Department of Mechanical Engineering Morishige, Ashley Elizabeth Wagner, Hannes Hofstetter, Jasmin Buonassisi, Anthony We couple numerical process and device simulations to provide a framework for understanding the combined effects of as-grown wafer impurity distribution, processing parameters, and solar cell architecture. For this study, we added the Impurity-to-Efficiency simulator to Synopsys’ Sentaurus Process software using the Alagator Scripting Language. Our results quantify how advanced processing can eliminate differences in efficiency due to different as-grown impurity concentrations and due to different area fractions of defective wafer regions. We identify combinations of as-grown impurity distributions and process parameters that produce solar cells limited by point defects and those that are limited by precipitated impurities. Gettering targeted at either point defect or precipitate reduction can then be designed and applied to increase cell efficiency. We also visualize the post-processing iron and total recombination distributions in 2D maps of the wafer cross-section. PV researchers and companies can input their initial iron distributions and processing parameters into our software and couple the resulting process simulation results with a solar cell device design of interest to conduct their own analyses. The Alagator scripts we developed are freely available online at http://pv.mit.edu/impurity-to-efficiency-i2e-simulator-for-sentaurus-tcad/. National Science Foundation (U.S.) (Grant EEC-1041895) United States. Dept. of Energy (Award DE-EE0006335) American Society for Engineering Education. National Defense Science and Engineering Graduate Fellowship Alexander von Humboldt Foundation (Feodor Lynen Research Fellowship) 2017-03-10T20:44:19Z 2017-03-10T20:44:19Z 2015-08 Article http://purl.org/eprint/type/JournalArticle 1876-6102 http://hdl.handle.net/1721.1/107393 Morishige, Ashley E. et al. “Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance.” Energy Procedia 77 (2015): 119–128. https://orcid.org/0000-0001-9352-8741 https://orcid.org/0000-0001-8345-4937 en_US http://dx.doi.org/10.1016/j.egypro.2015.07.019 Energy Procedia Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Elsevier |
| spellingShingle | Avci, Ibrahim del Cañizo, Carlos Morishige, Ashley Elizabeth Wagner, Hannes Hofstetter, Jasmin Buonassisi, Anthony Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance |
| title | Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance |
| title_full | Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance |
| title_fullStr | Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance |
| title_full_unstemmed | Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance |
| title_short | Combined Impact of Heterogeneous Lifetime and Gettering on Solar Cell Performance |
| title_sort | combined impact of heterogeneous lifetime and gettering on solar cell performance |
| url | http://hdl.handle.net/1721.1/107393 https://orcid.org/0000-0001-9352-8741 https://orcid.org/0000-0001-8345-4937 |
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