Proceedings of Perovskite Thin Film Photovoltaics (ABXPV16)
Publication date: 14th December 2015
M-LMS Mercury Lab Management System for PV Device Data Analysis
A comprehensive lab management system was developed and tested, with the intend to optimize and data collection, management, analysis and sharing in functional material science - tracking the device cycle from inception to recycling.
The success of next generation photovoltaic technologies will no longer be determined by reporting headline efficiency values, but demonstrating operational stability through high-throughput processing and systematic measurement of thousands of devices over periods of years. This transition from small one-off “hero” devices to comprehensive and exhaustive studies of thousands of devices demonstrating longevity and stability in different operational environments is challenging and requires considerable investment in both measurement equipment and data capture, analysis and storage software.
We would like to present our experience of making this transition and the tools we developed to enable high-throughput device production and data analysis of functional materials and organic electronics. Using our experience of managing a large number of devices over an extended period of time to track device performance, we were able to develop a comprehensive lab management system which could track devices from inception to recycling.
We will discuss how each device was barcoded and tracked with everything from the batch of solvent used in the solution processing to the encapsulation films and storage conditions. Using standardised routines, devices could be compared with those made many weeks or months previously and determine how small changes in e.g the electron conduction layer could affect the lifetime many months later. We will discuss how the acceleration of development cycle enabled new materials to be trialled and approved within days rather than weeks and automated reports allowed scientists to spend more time doing analysis, drawing conclusions and designing new experiments rather than hunched over a solar simulator. If next generation photovoltaics and electronics is to become and economic reality then higher throughput and the systems to analyse the data generated are paramount, we hope to demonstrate our approach to enabling that reality.
Rick Hamilton, Torben Damgaard Nielsen.
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