Statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategies
Degradation pathway models constructed using network structural equation modeling (netSEM) are used to study degradation modes and pathways active in photovoltaic (PV) system variants in exposure conditions of high humidity and temperature. This data-driven modeling technique enables the exploration...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1127796/full |
| _version_ | 1827988846023802880 |
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| author | Sameera Nalin Venkat Sameera Nalin Venkat Xuanji Yu Xuanji Yu Jiqi Liu Jiqi Liu Jakob Wegmueller Jayvic Cristian Jimenez Jayvic Cristian Jimenez Erika I. Barcelos Erika I. Barcelos Hein Htet Aung Hein Htet Aung Xinjun Li Jean-Nicolas Jaubert Roger H. French Roger H. French Roger H. French Laura S. Bruckman Laura S. Bruckman |
| author_facet | Sameera Nalin Venkat Sameera Nalin Venkat Xuanji Yu Xuanji Yu Jiqi Liu Jiqi Liu Jakob Wegmueller Jayvic Cristian Jimenez Jayvic Cristian Jimenez Erika I. Barcelos Erika I. Barcelos Hein Htet Aung Hein Htet Aung Xinjun Li Jean-Nicolas Jaubert Roger H. French Roger H. French Roger H. French Laura S. Bruckman Laura S. Bruckman |
| author_sort | Sameera Nalin Venkat |
| collection | DOAJ |
| description | Degradation pathway models constructed using network structural equation modeling (netSEM) are used to study degradation modes and pathways active in photovoltaic (PV) system variants in exposure conditions of high humidity and temperature. This data-driven modeling technique enables the exploration of simultaneous pairwise and multiple regression relationships between variables in which several degradation modes are active in specific variants and exposure conditions. Durable and degrading variants are identified from the netSEM degradation mechanisms and pathways, along with potential ways to mitigate these pathways. A combination of domain knowledge and netSEM modeling shows that corrosion is the primary cause of the power loss in these glass/backsheet PV minimodules. We show successful implementation of netSEM to elucidate the relationships between variables in PV systems and predict a specific service lifetime. The results from pairwise relationships and multiple regression show consistency. This work presents a greater opportunity to be expanded to other materials systems. |
| first_indexed | 2024-04-10T00:09:51Z |
| format | Article |
| id | doaj.art-58e83ca3c71b4e5dacd0d7ce2222d212 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-10T00:09:51Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-58e83ca3c71b4e5dacd0d7ce2222d2122023-03-16T11:30:46ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-03-011110.3389/fenrg.2023.11277961127796Statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategiesSameera Nalin Venkat0Sameera Nalin Venkat1Xuanji Yu2Xuanji Yu3Jiqi Liu4Jiqi Liu5Jakob Wegmueller6Jayvic Cristian Jimenez7Jayvic Cristian Jimenez8Erika I. Barcelos9Erika I. Barcelos10Hein Htet Aung11Hein Htet Aung12Xinjun Li13Jean-Nicolas Jaubert14Roger H. French15Roger H. French16Roger H. French17Laura S. Bruckman18Laura S. Bruckman19SDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesSDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesSDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesSDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesSDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesSDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesSDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesCybrid Technologies Inc., Suzhou, Jiangsu, ChinaCSI Solar Co., Ltd., Suzhou, Jiangsu, ChinaSDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, United StatesSDLE Research Center, Department of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Materials Science and Engineering, Case Western Reserve University, Cleveland, OH, United StatesDegradation pathway models constructed using network structural equation modeling (netSEM) are used to study degradation modes and pathways active in photovoltaic (PV) system variants in exposure conditions of high humidity and temperature. This data-driven modeling technique enables the exploration of simultaneous pairwise and multiple regression relationships between variables in which several degradation modes are active in specific variants and exposure conditions. Durable and degrading variants are identified from the netSEM degradation mechanisms and pathways, along with potential ways to mitigate these pathways. A combination of domain knowledge and netSEM modeling shows that corrosion is the primary cause of the power loss in these glass/backsheet PV minimodules. We show successful implementation of netSEM to elucidate the relationships between variables in PV systems and predict a specific service lifetime. The results from pairwise relationships and multiple regression show consistency. This work presents a greater opportunity to be expanded to other materials systems.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1127796/fulldegradationphotovoltaicspathway modelingnetwork structural equation modelingelectrical measurementspower loss |
| spellingShingle | Sameera Nalin Venkat Sameera Nalin Venkat Xuanji Yu Xuanji Yu Jiqi Liu Jiqi Liu Jakob Wegmueller Jayvic Cristian Jimenez Jayvic Cristian Jimenez Erika I. Barcelos Erika I. Barcelos Hein Htet Aung Hein Htet Aung Xinjun Li Jean-Nicolas Jaubert Roger H. French Roger H. French Roger H. French Laura S. Bruckman Laura S. Bruckman Statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategies Frontiers in Energy Research degradation photovoltaics pathway modeling network structural equation modeling electrical measurements power loss |
| title | Statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategies |
| title_full | Statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategies |
| title_fullStr | Statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategies |
| title_full_unstemmed | Statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategies |
| title_short | Statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategies |
| title_sort | statistical analysis and degradation pathway modeling of photovoltaic minimodules with varied packaging strategies |
| topic | degradation photovoltaics pathway modeling network structural equation modeling electrical measurements power loss |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1127796/full |
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