Optimizing bifacial all-perovskite tandem solar cell: How to balance light absorption and recombination
[Display omitted] •Novel physics-based surrogate model for bifacial tandem cell with near instantaneous speed.•Identified key geometric and material parameters for tandem device output at different albedo.•Presented pathway to improve bifacial equivalent efficiency (>2%) from 6 geometric paramete...
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Veröffentlicht in: | Solar energy 2022-01, Vol.231, p.1092-1106 |
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•Novel physics-based surrogate model for bifacial tandem cell with near instantaneous speed.•Identified key geometric and material parameters for tandem device output at different albedo.•Presented pathway to improve bifacial equivalent efficiency (>2%) from 6 geometric parameters.
The perovskite solar cell has attracted considerable interest for tandem device applications due to its bandgap tunability and high efficiency. Although improvements are made to all perovskite tandem cells, their power output is still not close to that of other tandem devices. One possible way to improve the power output is to absorb the rear incident light as a bifacial device. Unlike all previous work, where the focus for optimizing the design of a bifacial tandem device is light absorption, this paper also considers the recombination losses. The six most influential geometric parameters to the tandem device power output were identified through sensitivity analysis. With a physics-based machine learning methodology, we significantly cut down the computational cost to predict the optimal design for a bifacial four-terminal all-perovskite tandem solar cell under nine different albedo conditions. Furthermore, we quantify the change in the recombination losses for the bottom sub-cell under two scenarios: (1) at optimized configuration; (2) at different albedo. It is found that the optimal hole transport layer thickness for the bottom sub-cell increases at higher albedo and the opposite is true for the perovskite layer. A feasible pathway, balancing light absorption and recombination, is presented to improve the tandem device’s power output. |
doi_str_mv | 10.1016/j.solener.2021.12.040 |
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•Novel physics-based surrogate model for bifacial tandem cell with near instantaneous speed.•Identified key geometric and material parameters for tandem device output at different albedo.•Presented pathway to improve bifacial equivalent efficiency (>2%) from 6 geometric parameters.
The perovskite solar cell has attracted considerable interest for tandem device applications due to its bandgap tunability and high efficiency. Although improvements are made to all perovskite tandem cells, their power output is still not close to that of other tandem devices. One possible way to improve the power output is to absorb the rear incident light as a bifacial device. Unlike all previous work, where the focus for optimizing the design of a bifacial tandem device is light absorption, this paper also considers the recombination losses. The six most influential geometric parameters to the tandem device power output were identified through sensitivity analysis. With a physics-based machine learning methodology, we significantly cut down the computational cost to predict the optimal design for a bifacial four-terminal all-perovskite tandem solar cell under nine different albedo conditions. Furthermore, we quantify the change in the recombination losses for the bottom sub-cell under two scenarios: (1) at optimized configuration; (2) at different albedo. It is found that the optimal hole transport layer thickness for the bottom sub-cell increases at higher albedo and the opposite is true for the perovskite layer. A feasible pathway, balancing light absorption and recombination, is presented to improve the tandem device’s power output.</description><identifier>ISSN: 0038-092X</identifier><identifier>EISSN: 1471-1257</identifier><identifier>DOI: 10.1016/j.solener.2021.12.040</identifier><language>eng</language><publisher>New York: Elsevier Ltd</publisher><subject>Absorption ; Albedo ; Artificial neural network ; Bifacial solar cells ; Computer applications ; Design optimization ; Electromagnetic absorption ; Four-terminal tandem ; Incident light ; Machine learning ; Parameter identification ; Parameter sensitivity ; Parametric optimization ; Perovskite ; Perovskites ; Photovoltaic cells ; Recombination ; Sensitivity analysis ; Solar cells ; Solar energy ; Thickness</subject><ispartof>Solar energy, 2022-01, Vol.231, p.1092-1106</ispartof><rights>2021 International Solar Energy Society</rights><rights>Copyright Pergamon Press Inc. Jan 1, 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-dea95dbbc5bc81176e85cb61da300be28e6595c3ac09c11f21119c9aab96c0253</citedby><cites>FETCH-LOGICAL-c337t-dea95dbbc5bc81176e85cb61da300be28e6595c3ac09c11f21119c9aab96c0253</cites><orcidid>0000-0001-6393-7931 ; 0000-0003-4012-1467 ; 0000-0002-8216-7941</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0038092X21010896$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Tan, Hu Quee</creatorcontrib><creatorcontrib>Zhao, Xinhai</creatorcontrib><creatorcontrib>Jiao, Aoran</creatorcontrib><creatorcontrib>Birgersson, Erik</creatorcontrib><creatorcontrib>Xue, Hansong</creatorcontrib><title>Optimizing bifacial all-perovskite tandem solar cell: How to balance light absorption and recombination</title><title>Solar energy</title><description>[Display omitted]
•Novel physics-based surrogate model for bifacial tandem cell with near instantaneous speed.•Identified key geometric and material parameters for tandem device output at different albedo.•Presented pathway to improve bifacial equivalent efficiency (>2%) from 6 geometric parameters.
The perovskite solar cell has attracted considerable interest for tandem device applications due to its bandgap tunability and high efficiency. Although improvements are made to all perovskite tandem cells, their power output is still not close to that of other tandem devices. One possible way to improve the power output is to absorb the rear incident light as a bifacial device. Unlike all previous work, where the focus for optimizing the design of a bifacial tandem device is light absorption, this paper also considers the recombination losses. The six most influential geometric parameters to the tandem device power output were identified through sensitivity analysis. With a physics-based machine learning methodology, we significantly cut down the computational cost to predict the optimal design for a bifacial four-terminal all-perovskite tandem solar cell under nine different albedo conditions. Furthermore, we quantify the change in the recombination losses for the bottom sub-cell under two scenarios: (1) at optimized configuration; (2) at different albedo. It is found that the optimal hole transport layer thickness for the bottom sub-cell increases at higher albedo and the opposite is true for the perovskite layer. A feasible pathway, balancing light absorption and recombination, is presented to improve the tandem device’s power output.</description><subject>Absorption</subject><subject>Albedo</subject><subject>Artificial neural network</subject><subject>Bifacial solar cells</subject><subject>Computer applications</subject><subject>Design optimization</subject><subject>Electromagnetic absorption</subject><subject>Four-terminal tandem</subject><subject>Incident light</subject><subject>Machine learning</subject><subject>Parameter identification</subject><subject>Parameter sensitivity</subject><subject>Parametric optimization</subject><subject>Perovskite</subject><subject>Perovskites</subject><subject>Photovoltaic cells</subject><subject>Recombination</subject><subject>Sensitivity analysis</subject><subject>Solar cells</subject><subject>Solar energy</subject><subject>Thickness</subject><issn>0038-092X</issn><issn>1471-1257</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkE9LAzEQxYMoWKsfQQh43jWT7f7zIlLUCoVeFLyFJDtbs6abmmwr-unN0t49Dcy894b3I-QaWAoMitsuDc5ijz7ljEMKPGUzdkImMCshAZ6Xp2TCWFYlrObv5-QihI4xKKEqJ2S92g5mY35Nv6bKtFIbaam0Ntmid_vwaQakg-wb3ND4RHqq0do7unDfdHBUSSt7jdSa9cdApQrOxzjX0-igHrXbKNPLcXNJzlppA14d55S8PT2-zhfJcvX8Mn9YJjrLyiFpUNZ5o5TOla4AygKrXKsCGpkxppBXWOR1rjOpWa0BWg4Ata6lVHWhGc-zKbk55G69-9phGETndr6PLwUvsopVs6wcVflBpb0LwWMrtt5spP8RwMTIVHTiyFSMTAVwEZlG3_3Bh7HC3sRr0AYjgcbEtoNonPkn4Q8RYoR9</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Tan, Hu Quee</creator><creator>Zhao, Xinhai</creator><creator>Jiao, Aoran</creator><creator>Birgersson, Erik</creator><creator>Xue, Hansong</creator><general>Elsevier Ltd</general><general>Pergamon Press Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-6393-7931</orcidid><orcidid>https://orcid.org/0000-0003-4012-1467</orcidid><orcidid>https://orcid.org/0000-0002-8216-7941</orcidid></search><sort><creationdate>20220101</creationdate><title>Optimizing bifacial all-perovskite tandem solar cell: How to balance light absorption and recombination</title><author>Tan, Hu Quee ; Zhao, Xinhai ; Jiao, Aoran ; Birgersson, Erik ; Xue, Hansong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-dea95dbbc5bc81176e85cb61da300be28e6595c3ac09c11f21119c9aab96c0253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Absorption</topic><topic>Albedo</topic><topic>Artificial neural network</topic><topic>Bifacial solar cells</topic><topic>Computer applications</topic><topic>Design optimization</topic><topic>Electromagnetic absorption</topic><topic>Four-terminal tandem</topic><topic>Incident light</topic><topic>Machine learning</topic><topic>Parameter identification</topic><topic>Parameter sensitivity</topic><topic>Parametric optimization</topic><topic>Perovskite</topic><topic>Perovskites</topic><topic>Photovoltaic cells</topic><topic>Recombination</topic><topic>Sensitivity analysis</topic><topic>Solar cells</topic><topic>Solar energy</topic><topic>Thickness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Hu Quee</creatorcontrib><creatorcontrib>Zhao, Xinhai</creatorcontrib><creatorcontrib>Jiao, Aoran</creatorcontrib><creatorcontrib>Birgersson, Erik</creatorcontrib><creatorcontrib>Xue, Hansong</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Solar energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Hu Quee</au><au>Zhao, Xinhai</au><au>Jiao, Aoran</au><au>Birgersson, Erik</au><au>Xue, Hansong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimizing bifacial all-perovskite tandem solar cell: How to balance light absorption and recombination</atitle><jtitle>Solar energy</jtitle><date>2022-01-01</date><risdate>2022</risdate><volume>231</volume><spage>1092</spage><epage>1106</epage><pages>1092-1106</pages><issn>0038-092X</issn><eissn>1471-1257</eissn><abstract>[Display omitted]
•Novel physics-based surrogate model for bifacial tandem cell with near instantaneous speed.•Identified key geometric and material parameters for tandem device output at different albedo.•Presented pathway to improve bifacial equivalent efficiency (>2%) from 6 geometric parameters.
The perovskite solar cell has attracted considerable interest for tandem device applications due to its bandgap tunability and high efficiency. Although improvements are made to all perovskite tandem cells, their power output is still not close to that of other tandem devices. One possible way to improve the power output is to absorb the rear incident light as a bifacial device. Unlike all previous work, where the focus for optimizing the design of a bifacial tandem device is light absorption, this paper also considers the recombination losses. The six most influential geometric parameters to the tandem device power output were identified through sensitivity analysis. With a physics-based machine learning methodology, we significantly cut down the computational cost to predict the optimal design for a bifacial four-terminal all-perovskite tandem solar cell under nine different albedo conditions. Furthermore, we quantify the change in the recombination losses for the bottom sub-cell under two scenarios: (1) at optimized configuration; (2) at different albedo. It is found that the optimal hole transport layer thickness for the bottom sub-cell increases at higher albedo and the opposite is true for the perovskite layer. A feasible pathway, balancing light absorption and recombination, is presented to improve the tandem device’s power output.</abstract><cop>New York</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.solener.2021.12.040</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-6393-7931</orcidid><orcidid>https://orcid.org/0000-0003-4012-1467</orcidid><orcidid>https://orcid.org/0000-0002-8216-7941</orcidid></addata></record> |
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subjects | Absorption Albedo Artificial neural network Bifacial solar cells Computer applications Design optimization Electromagnetic absorption Four-terminal tandem Incident light Machine learning Parameter identification Parameter sensitivity Parametric optimization Perovskite Perovskites Photovoltaic cells Recombination Sensitivity analysis Solar cells Solar energy Thickness |
title | Optimizing bifacial all-perovskite tandem solar cell: How to balance light absorption and recombination |
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