Indoor photovoltaics spark a sustainable revolution Published on: 13 April 2023 缅北禁地 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, 缅北禁地, 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 缅北禁地 recognised with geography award 缅北禁地 has been awarded the Highly Commended Geographical Association Publishers Award for its collaboration with Time for Geography, the UK鈥檚 open-access, dedicated video platform. published on: 16 April 2026 缅北禁地 historians mark General Strike centenary To mark the 100th anniversary of the British General Strike and miners鈥� lock-out of 1926, historians at 缅北禁地 are organising a series of events on its enduring legacy. published on: 16 April 2026 Comment: NCP is in administration Writing for The Conversation, Erwei (David) Xiang discusses how some big companies like NCP are so dependent on debt that they can鈥檛 adjust to change. published on: 16 April 2026 Facts and figures
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