Is degradation of photovoltaic modules predictable and preventable?

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This project aims to determine the fundamental properties of the hydrogen related defect causing degradation of commercial solar modules and develop models to predict its impact. The defect causes up to 16% power loss and is likely to affect all photovoltaics due to the universal behaviour of hydrogen in semiconductors. Through new techniques combining deuterium (heavy hydrogen) and machine learning, the key project outcomes are new knowledge of hydrogen behaviour, mitigation of degradation and predictive models to test and forecast the future output of affected modules. This is critical for system design and reliability, manufacturer warranty terms, investor returns, consumer confidence, and ultimately mitigating the climate crisis.