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Kouroudis I, Tanko KT, Karimipour M, Ali AB, Kumar DK, Sudhakar V, Gupta RK, Visoly-Fisher I, Lira-Cantu M, Gagliardi A. Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells. ACS Energy Lett 2024; 9:1581-1586. [PMID: 38633992 PMCID: PMC11019640 DOI: 10.1021/acsenergylett.4c00328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/09/2024] [Accepted: 03/12/2024] [Indexed: 04/19/2024]
Abstract
The commercial development of perovskite solar cells (PSCs) has been significantly delayed by the constraint of performing time-consuming degradation studies under real outdoor conditions. These are necessary steps to determine the device lifetime, an area where PSCs traditionally suffer. In this work, we demonstrate that the outdoor degradation behavior of PSCs can be predicted by employing accelerated indoor stability analyses. The prediction was possible using a swift and accurate pipeline of machine learning algorithms and mathematical decompositions. By training the algorithms with different indoor stability data sets, we can determine the most relevant stress factors, thereby shedding light on the outdoor degradation pathways. Our methodology is not specific to PSCs and can be extended to other PV technologies where degradation and its mechanisms are crucial elements of their widespread adoption.
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Affiliation(s)
- Ioannis Kouroudis
- Department
of Electrical Engineering, School of Computation, Information and
Technology, Technical University of Munich, Hans-Piloty Strasse 1, 85748 Garching bei Munich,Germany
| | - Kenedy Tabah Tanko
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC
and The Barcelona Institute of Science and Technology, 08193 Bellaterra, Barcelona, Spain
| | - Masoud Karimipour
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC
and The Barcelona Institute of Science and Technology, 08193 Bellaterra, Barcelona, Spain
| | - Aziz Ben Ali
- Department
of Electrical Engineering, School of Computation, Information and
Technology, Technical University of Munich, Hans-Piloty Strasse 1, 85748 Garching bei Munich,Germany
| | - D. Kishore Kumar
- Ben-Gurion
Solar Energy Center, Swiss Inst. for Dryland Environmental and Energy
Research, The Jacob Blaustein Institutes for Desert Research (BIDR), Ben-Gurion University of the Negev, Sede Boker Campus, Midereshet Ben-Gurion 84990, Israel
| | - Vediappan Sudhakar
- Ben-Gurion
Solar Energy Center, Swiss Inst. for Dryland Environmental and Energy
Research, The Jacob Blaustein Institutes for Desert Research (BIDR), Ben-Gurion University of the Negev, Sede Boker Campus, Midereshet Ben-Gurion 84990, Israel
| | - Ritesh Kant Gupta
- Ben-Gurion
Solar Energy Center, Swiss Inst. for Dryland Environmental and Energy
Research, The Jacob Blaustein Institutes for Desert Research (BIDR), Ben-Gurion University of the Negev, Sede Boker Campus, Midereshet Ben-Gurion 84990, Israel
| | - Iris Visoly-Fisher
- Ben-Gurion
Solar Energy Center, Swiss Inst. for Dryland Environmental and Energy
Research, The Jacob Blaustein Institutes for Desert Research (BIDR), Ben-Gurion University of the Negev, Sede Boker Campus, Midereshet Ben-Gurion 84990, Israel
| | - Monica Lira-Cantu
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC
and The Barcelona Institute of Science and Technology, 08193 Bellaterra, Barcelona, Spain
| | - Alessio Gagliardi
- Department
of Electrical Engineering, School of Computation, Information and
Technology, Technical University of Munich, Hans-Piloty Strasse 1, 85748 Garching bei Munich,Germany
- Munich
Data Science Institute, TUM, 85748 Garching, Walther-von-Dyck-Straße 10, Germany
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