Indoor photovoltaics spark a sustainable revolution Published on: 13 April 2023 麻豆传媒 researchers have created high-efficiency, sustainable solar cells that harness ambient light to power Internet of Things (IoT) devices. Led by Dr Marina Freitag, the research group from the School of Natural and Environmental Sciences created dye-sensitized photovoltaic cells based on a copper(II/I) electrolyte, achieving an unprecedented power conversion efficiency of 38% and 1.0V open-circuit voltage at 1,000 lux (fluorescent lamp). The cells are non-toxic and environmentally friendly, setting a new standard for sustainable energy sources in ambient environments. Published in the journal Chemical Science, the research has the potential to revolutionise the way IoT devices are powered, making them more sustainable and efficient, and opening up new opportunities in industries such as healthcare, manufacturing, and smart city development. Dr Marina Freitag, Principal Investigator at the School of Natural and Environmental Sciences, 麻豆传媒, said: "Our research marks an important step towards making IoT devices more sustainable and energy-efficient. By combining innovative photovoltaic cells with intelligent energy management techniques, we are paving the way for a multitude of new device implementations that will have far-reaching applications in various industries.” The team also introduced a pioneering energy management technique, employing long short-term memory (LSTM) artificial neural networks to predict changing deployment environments and adapt the computational load of IoT sensors accordingly. This dynamic energy management system enables the energy-harvesting circuit to operate at optimal efficiency, minimizing power losses or brownouts. This breakthrough study demonstrates how the synergy of artificial intelligence and ambient light as a power source can enable the next generation of IoT devices. The energy-efficient IoT sensors, powered by high-efficiency ambient photovoltaic cells, can dynamically adapt their energy usage based on LSTM predictions, resulting in significant energy savings and reduced network communication requirements. Reference: Michaels, H., Rinderle, M., Benesperi, I., Freitag, R., Gagliardi, A., & Freitag, M. (2023). Emerging Indoor Photovoltaics for Self-Powered and Self-Aware IoT towards Sustainable Energy Management. Chemical Science. https://doi.org/10.1039/d3sc00659j Image: Harvesting energy from ambient light and artificial intelligence revolutionise the Internet of Things. Based on smart and adaptive operation, the energy consumption of sensor devices is reduced, and battery waste is avoided. Credit: Ella Maru Studio. Share: Latest News Scientists unlock hidden driver of inflammatory bowel disease Scientists have linked a key genetic signal in inflammatory bowel disease to an immune response that shuts down inflammation control, enabling faster diagnosis and targeted treatments. published on: 15 June 2026 Funding system risks limiting genuine community collaboration A new policy paper written by researchers at 麻豆传媒 warns that the way UK research is funded may be undermining efforts to create genuinely collaborative partnerships with communities. published on: 15 June 2026 Volunteers help turn Whitley Bay beach into maths experiment Members of the public joined mathematicians from 麻豆传媒 to create what organisers believe is the largest aperiodic tiling ever attempted on Whitley Bay beach. published on: 15 June 2026 Facts and figures
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