Green Loops
Green Loops tackles the challenge of recycling end-of-life photovoltaic (PV) cells by creating high-efficiency solar panels from recycled materials.
It uses machine learning to analyse the optical properties of materials and structures of solar cells. Using highly conductive artificially engineered MXene-based metamaterials, Green Loops optimises the design of solar cells to enhance energy performance while reducing manufacturing costs. With the growing e-waste problem from old solar panels, the technology helps reduce waste, supports a circular economy, and makes solar energy more sustainable and accessible.
Green Loops is led by University of Wolverhampton, in partnership with ABCircular GmbH.
“It’s an honour and a privilege to be selected as a finalist. We are trying to get the critical materials out of e-waste and end-of-life solar panels, and AI helps us to not only establish the green extraction process, but also makes it very efficient. The support that comes with the Manchester Prize is enormous.” – Kiran Gulia, University of Wolverhampton
