THE 4TH INTERNATIONAL

SYMPOSIUM ON THERMAL-FLUID DYNAMICS

(ISTFD 2023)

27-29 July 2023, Nanjing, China

Lin Ma.jpg

Prof. Lin Ma

Energy 2050/Department of Mechanical Engineering

 The University of Sheffield, United Kingdom

 

Lin Ma is Professor of Fluid Dynamics working in the Energy 2050 in the Department of Mechanical Engineering at the University of Sheffield. He has been working for many years on sustainable energy technology and in particular on the modelling of various energy processes and a wide range of industrial fluid flow and heat and mass transfer problems. His recent research areas include carbon capture from power generation and industrial processes, clean coal/biomass/gas/hydrogen combustion and pollutants formation prediction and control, fuel related ash deposition, slagging and fouling, future energy system multi-scale and dynamic simulation, wind turbine aerodynamics, and hydrogen fuel cells. He is Associate Editor of IET Renewable Power Generation, Editorial Board member of The IFRF Journal, Member of the Royal Society’s International Exchanges Committee, and Member of the EPSRC Associate College. He has published over 180 peer reviewed research journal papers, 8 scientific book chapters, 1 book and 2 patents with a Google Scholar H-Index of 50 and over 8000 citations.


Title: Rotating packed bed technology for post –combustion carbon capture

Abstract: All modelled pathways that limit global warming 2°C indicated that CCS would be necessary for the continued consumption of fossil fuels. However, high costs are still the major obstacles of the large scale deployment of CCS technologies. Rotating packed bed as a process intensification technology is one of the most commercially viable and cost effective technologies for solvent-based post-combustion carbon capture compared with the traditional packed columns. This talk will present some of the challenges of the development of the rotating packed bed technology for CCS with a focus on recent work on computational fluid dynamics modelling for full scale rotating packed bed capture process simulation. Directions for future research will be discussed.