Encapsulation of Perovskite Solar Cells and Stability Testing
Despite the high power conversion efficiencies above 25% achieved with lead-halide perovskites, significant commercial success is yet to be witnessed with perovskite solar cells (PSCs) due to insufficient stability of these devices. Device encapsulation, essential for commercialization, is still a challenge and the range of possible techniques is limited by several factors including high chemical sensitivity of PSC materials and low tolerance to elevated temperatures during the encapsulation. This research stay at HZB will focus on encapsulation with n-i-p structure. During this visit, PSCs fabricated at ICN2 will be encapsulated using 3 encapsulation strategies both at home and host laboratories. These experiments will be important to validate previous results obtained at ICN2 regarding the performance of different methods of encapsulation. Once the quality of encapsulation is confirmed in climate chambers, the devices will be used for outdoor experiments in Berlin and Barcelona.
Status: Ongoing
Date of proposal: 28/11/2022
Start date: 30/03/2023
End Date: 28/04/2023
DOI:
Report:
Publications:
Used Instruments: Climate chambers. Solar simulators. Damp heat test facilities.
Experimental Technique: Encapsulation of Perovskite Solar Cells Outdoor stability testing. Accelerated indoor aging tests.
Experiment Description: The project focused on encapsulating perovskite solar cells using techniques from the host laboratory and ICN2, and then testing the quality of encapsulation. This included performing outdoor stability tests to validate the results of encapsulation and conducting accelerated indoor aging tests on unencapsulated devices to assess the impact of defect passivation on stability.
Type Samples: Perovskite solar cells with different encapsulation methods.
Sample Description: Devices encapsulated using glue-based encapsulation from ICN2 and vacuum lamination from HZB.
Experiment Data Type: Power conversion efficiency (PCE) data before and after encapsulation. Outdoor and indoor performance metrics under Maximum Power Point (MPP) tracking.
Characterization Technics: Damp heat tests and water ingress tests. Outdoor performance measurement under MPP. Accelerated indoor stability testing.
Characterization Data Type: Comparison of device performance with and without encapsulation. Analysis of device degradation under various testing conditions.
Analyzed Data: Effectiveness of different encapsulation techniques on device stability. Comparison of device stability in outdoor environments and under accelerated indoor conditions.
Main Targets Project: Assessing the quality of encapsulation for perovskite solar cells. Validating the performance and stability of encapsulated devices in different environmental conditions.
Main Achievements Findings: Successfully tested two types of encapsulations: glue-based encapsulation from ICN2 and vacuum lamination from HZB. Found that laminated cells maintained high PCE after encapsulation but degraded quickly outdoors. Indoor tests revealed that the additive H3pp had less impact on stability for CuSCN-based devices compared to Spiro-based cells. Encapsulation with ICN2 style maintained performance after a week of outdoor testing, with the test still ongoing.
Reviews
Review 1
How would you describe your experience with the VIPERLAB opportunity? How did the visit at HZB meet your expectations?
Very satisfied! With timely support from a lot of HZB staff I was able to attain my objectives. The comments and suggestions I received have helped me improve my experimental procedures at my home lab. The impact of the Viperlab visit outlives my duration of stay at HZB as I have continued to share ideas with the host lab members on improving the skills I learned during the visit. I also found the environment very friendly, and I absolutely enjoyed interacting with the staff outside lab activities.
Did you face any difficulties during your visit or application process?
Difficulties accessing many equipment due to the short duration of my stay as I couldn't get enough time to get training for all the facilities I needed.
What are you likely to say about VIPERLAB experience to your peers?
It's great platform to learn new skills and share ideas. Clearly defined goals that suit the capacity of the host lab makes the experience more fulfilling.
Does this VIPERLAB experience at HZB bring you closer to your research objectives? How?
Yes. My PhD research is focused on assessment of perovskite solar cell stability via Machine Learning (ML), and so the stability data I generated during my stay at HZB will be useful in training the ML algorithm.
Did you publish or present your collected results in a paper or conference?
Yes, a talk at E-MRS 2023 Spring Meeting (May 29 to June 2, 2023) in Strasbourg - France, involving the results obtained from my Viperlab visit.
Review 18
How would you describe your experience with the VIPERLAB opportunity? How did the visit at HZB meet your expectations?
Very satisfied! With timely support from a lot of HZB staff I was able to attain my objectives. The comments and suggestions I received have helped me improve my experimental procedures at my home lab. The impact of the Viperlab visit outlives my duration of stay at HZB as I have continued to share ideas with the host lab members on improving the skills I learned during the visit. I also found the environment very friendly, and I absolutely enjoyed interacting with the staff outside lab activities.
Did you face any difficulties during your visit or application process?
Difficulties accessing many equipment due to the short duration of my stay as I couldn’t get enough time to get training for all the facilities I needed.
What are you likely to say about VIPERLAB experience to your peers?
It’s great platform to learn new skills and share ideas. Clearly defined goals that suit the capacity of the host lab makes the experience more fulfilling.
Does this VIPERLAB experience at HZB bring you closer to your research objectives? How?
Yes. My PhD research is focused on assessment of perovskite solar cell stability via Machine Learning (ML), and so the stability data I generated during my stay at HZB will be useful in training the ML algorithm.
Did you publish or present your collected results in a paper or conference?
Yes, a talk at E-MRS 2023 Spring Meeting (May 29 to June 2, 2023) in Strasbourg – France, involving the results obtained from my Viperlab visit.