开始时间：2023年11月4日 15:30
报告地点：实验3楼102室
报 告 人：Prof. Marina Freitag
主办单位：英国正版365官方网站
报告摘要：
The field of renewable energy has seen tremendous growth in recent years, with photovoltaics being one of the most promising and widely adopted technologies. However, the vast majority of photovoltaic systems require direct sunlight, making them less effective in ambient environments such as indoor spaces. This limitation has spurred research efforts to develop high-efficiency ambient photovoltaics that can generate power from artificial lighting and other low-light sources. Such technology has the potential to revolutionize the field of energy generation and management, enabling the development of self-powered, self-aware IoT devices and other smart technologies.1
The development of ambient photovoltaics is highly dependent on advances in chemistry and materials science. We have focused on designing photovoltaic systems that are both highly efficient and sustainable, incorporating non-toxic materials that can be easily recycled. The use of dye-sensitized solar cells (DSCs) has emerged as a promising approach due to their ability to efficiently convert ambient light into electrical energy.2,3 The development of novel hole transport materials and electrolytes based on copper (II/I) coordination complexes has enabled the creation of highly efficient DSCs, with power conversion efficiencies reaching up to 38% at 1000 lux from a fluorescent lamp.4
To fully realize the potential of ambient photovoltaics, efficient energy management practices are critical. This is where artificial intelligence and machine learning come into play, with the development of on-device prediction and control algorithms that can dynamically adjust the computational load of IoT devices based on changing ambient light conditions. The integration of ambient light harvesting with artificial intelligence has opened up new possibilities for the development of fully autonomous, self-powered, and self-aware IoT devices that can be utilized across a range of industries and applications.
报告人简介：
Prof. Marina Freitag is a Royal Society University Research Fellow and Professor of Energy at Newcastle University, known for her pioneering work in ambient photovoltaic technology. With a solid academic foundation from Free University, Berlin, and a Ph.D. from Rutgers University, her voyage into renewable energy innovations has been profound. Dr. Freitag introduced a novel concept dubbed "zombie solar cells," which significantly advanced the efficiency of solid-state dye-sensitized solar cells. Her current endeavours focus on ambient photovoltaics, aiming to develop efficient, sustainable, and robust technologies based on low-dimensional coordination polymers. This groundbreaking work aims to provide autonomous energy supplies for AI-based Internet of Things (IoTs), reshaping conventional perceptions of energy use. With prestigious accolades like the 2022 Royal Society of Chemistry Harrison-Meldola Memorial Prize, and Göran Gustaffsson Young Researcher Award 2019, Prof. Freitag's contributions to renewable energy are invaluable. Freitag’s commitment extends beyond academia, engaging the public through various workshops and exhibitions, nurturing a broader understanding and adoption of renewable energy solutions. Through her visionary research and community outreach, Prof. Freitag is steadily driving the narrative towards sustainable energy practices, embodying a blend of academic prowess and impactful real-world applications.
参考文献:
1.Michaels, H. et al. Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things. Chemical Science 2020, 11, 2895–2906.
2.Freitag, M. et al. Dye-sensitized solar cells for efficient power generation under ambient lighting. Nature Photonics 2017, 11, 372–378.
3.Benesperi, I., Michaels, H. & Freitag, M. The researcher’s guide to solid-state dye-sensitized solar cells. Journal of Materials Chemistry C 2018, 6, 11903-11942.
4.Michaels, H., Rinderle, M., Benesperi, I., Freitag, R., Gagliardi, A. & Freitag, M. Emerging indoor photovoltaics for self-powered and self-aware IoT towards sustainable energy management. Chemical Science, 2023, 14, 5350-5360.