徐翱，于2009-2013年就读中国科学技术大学近代力学系，随后赴香港科技大学机械及航空航天工程学系攻读博士学位。研究领域主要包括燃料电池和液流电池中多相传输现象的数值模拟，涉及气液两相流动、多孔介质中流动及传质、固体颗粒流动的格子玻尔兹曼模拟。过去三年在国际期刊发表学术论文十余篇，并兼任Applied Thermal Engineering编辑，Journal of Heat Transfer-ASME、《科学通报》等国内外期刊审稿人。

Fuel cells and flow batteries are promising renewable energy technologies to address climate change and air pollution problems. Understanding the complex multiscale and multiphysics transport phenomena in these electrochemical systems requires effective numerical approaches. Among various numerical methods, the lattice Boltzmann (LB) method stands out as a powerful tool to simulate fluid flows and associated transport phenomena. This seminar focuses on LB modeling of transport phenomena in fuel cells and flow batteries.

In a polymer electrolyte membrane fuel cell system, the transport phenomena involve gas-liquid two-phase flows in the flow channels and in the porous gas diffusion layers on both the anode and cathode. A three-dimensional pseudo-potential-based LB model is developed to simulate gas-liquid two-phase flows with large density ratio. In an aqueous redox flow battery system, the transport phenomena involve coupled fluid flows, mass transport, and electrochemical reactions in both the positive and negative porous electrodes. Mass transfer coefficient, which quantifies mass transfer from the bulk flows to pore surfaces, is predicted via LB simulations of chemically reactive flows through porous media. In a suspension redox flow battery system, the transport phenomena in the suspension electrodes involve the particulate flows of both charge storing active materials and conductive additives. To simulate a suspension that contains both micro- and nanoparticles, the microparticle dynamics are explicitly resolved and the nanoparticles with base fluid are implicitly described as continua. To simulate a suspension of porous particles that are permeable to fluids, the fluid flows around and inside the porous particle is described by the volume-averaged macroscopic equations in terms of intrinsic phase average.