Data-Driven Operations for the Future Power Grid
Tuesday, December 5, 2023 @ 11:00 a.m.
6153 Etcheverry Hall, Vogt Room
Dr. Chenye Wu – Assistant Professor, School of Science and Engineering, The Chinese University of Hong Kong
Abstract: Is artificial intelligence really required in the electricity sector? In this talk, we look at how AI techniques can aid the power grid transition by addressing the challenges posed by large-scale renewable energy integration. The efficiency of the power grid is specifically dependent on system operation and market design, and the stochastic nature of renewable generation fails the classical operation techniques and market designs. Fortunately, AI offers an intriguing solution for dealing with such failures by digitalizing the power grid. To that end, we will share three stories to show our AI-driven efforts toward a more efficient power grid. We begin with data acquisition and utilization in the power grid, which serves as the foundation for any AI method. We take user profiling as an example to show how privacy-preserving techniques can impact data utilization. The data-driven power system operation framework is then introduced, and the main challenges in designing an AI-aided toolbox are highlighted. Finally, using storage sharing in an industrial park as an example, we will briefly share our perspective on emerging business models in the electricity market.
Biography: Dr. Chenye Wu is an Assistant Professor at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. In 2009, he earned his bachelor’s degree in electronic engineering from Tsinghua University, and in 2013, he received his Ph.D. in computer science and engineering from Tsinghua University, where he was advised by Prof. Andrew Yao, the Turing Award laureate. From 2014 to 2016, he was a postdoc fellow at Berkeley hosted by Prof. Kameshwar Poolla and late Prof. Pravin Varaiya. Dr. Wu has had more than 80 research papers published in major journals and conferences in the field, such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, and IEEE Transactions on Sustainable Energy. Since February 2022, he has served on the IEEE Systems Journal Editorial Board. He is a co-recipient of three best paper awards, including the IEEE SmartGridComm 2012 best paper award and the IEEE PES General Meeting 2013 and 2020 best paper awards.
Hosted by: Professor Kameshwar Poolla, 5141 Etcheverry Hall, 510-642-1150, firstname.lastname@example.org
Multi-Dimensional Manipulation of Solid/Liquid Interaction
Thursday, December 7, 2023 @ 3:00 p.m.
3110 Etcheverry Hall
Dr. Xu Deng – Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China
Abstract: Solid/Liquid interaction play important role in many research and application fields. In this presentation, we will introduce a radically new strategy that resolves the bottleneck through the creation of an unexplored gradient in surface charge density (SCD). By leveraging on a facile droplet printing on superamphiphobic surfaces as well as the fundamental understanding of the mechanisms underpinning the creation of the preferential SCD, we envision that our work enriches and extends our capability in the manipulation of droplet transport and would find numerous potential applications otherwise impossible. We will also show that robust superhydrophobicity can be realized by structuring surfaces at two different length scales, with a nanostructure design to provide water repellency and a microstructure design to provide durability. We apply this strategy to various substrates—including silicon, ceramic, metal and transparent glass—and show that the water repellency of the resulting superhydrophobic surfaces is preserved even after abrasion by sandpaper and by a sharp steel blade. This design strategy could also guide the development of other materials that need to retain effective self-cleaning, anti-fouling or heat-transfer abilities in harsh operating environments. QQ. Sun, ZK. Wang*, HJ. Butt* and X. Deng* et al., Nature Materials, 2019, 18, 936.
 DH. Wang, R. Ras* and X. Deng* et al., Nature, 2020, 582, 55.
 JN. Song and X. Deng* et al., Advanced Materials, 2021, 33, 2007154.
 WL. Zhang and X. Deng* et al., Chemical Society Reviews, 2021, 50, 4031.
 X. Deng, V Doris* et al., Science, 2012, 335, 67.
 JL Yang, X. Deng* et al., PNAS, 2023, 120.
Biography: Dr. Xu Deng received his Ph.D. in 2013 from the Max Planck Institute for Polymer Research. In 2014, Dr. Deng served as a postdoctoral fellow at UC Berkeley and Lawrence Berkeley National Laboratory. In 2015, he joined the University of Electronic Science and Technology of China as a professor. In 2017, He was pointed by the president of Max Planck Institute as the head of Max Planck Partner Group at UESTC. Dr. Deng is interested in understanding wetting dynamics and physical chemistry at interfaces. He has published more than 120 articles as the first author or corresponding author in leading journals such as Science, Nature, Nature Materials, Nature Communication, PRL, Angew Chem, to name a few. In 2021, Dr. Deng was admitted as the Fellow of the Royal Society of Chemistry (FRSC). In 2022, Dr. Deng has been awarded the Friedrich Wilhelm Bessel Research Award of the Alexander von Humboldt Foundation, Germany.
Hosted by: Assistant Professor Thomas Schutzius, 6107 Etcheverry Hall, email@example.com