IMFTF Keynote Meeting (9) Schedule

Date & Time: Tues, 2 Aug 2022

Professor Wang Haigang

Institute of Engineering Thermophysics, Chinese Academy of Sciences

Programme:

Organizer:

Yansong Shen

University of New South Wales, Australia

Process design and control plays a significant role in modern industries. Most processes and reactors are very complex, as they usually involve not only multiphase flows but also heat and mass transfers related to chemical reactions and their interactions – the so-called reacting flow. The operation must be optimized in order to be competitive and sustainable, particularly under the more and more demanding economic and environmental conditions. This will need continuous innovative research and development. Computer simulation and modelling, supported by online data and experiments, has emerged as an indispensable adjunct to the traditional modes of investigation for design, control and optimization of processes, reactors, and devices. In this presentation, Prof. Shen will report his core research on process modelling of reacting flows and the applications to a range of complex processes and reactors in conventional and emerging industries. Several examples of industry applications will be used for demonstration. The modelling works are indeed helpful to understanding fundamentals and optimize & develop new, cleaner and more efficient technologies with measurable industrial outcomes.

Professor Yansong Shen is currently an Australian Research Council Future Fellow and a full Professor in School of Chemical Engineering at University of New South Wales (Tenured). He obtained his BEng and MEng degrees in Northeastern University (China) and PhD degree in UNSW. He initiated and is leading a vibrant  research  lab  -  Process  Modelling  and  Optimization  of  Reacting  Flows  "ProMO  Lab" (www.promo.unsw.edu.au). He published over 200 peer-reviewed papers in top-tier multidisciplinary journals with h-index 35 as of 2021, secures 11 ARC and >15 highly competitive research grants from ACARP/ARENA/BAJC, in total over AUD 27M, established industry engagements in Australia and overseas, and won several honours and highly-competitive national fellowships e.g. ARC APDI Fellowship (2012) and ARC Future Fellowship (2019). His group designed and scaled-up several new technologies of iron ore and coal/biomass utilization and reactor design which have been implemented and practiced with measurable benefits. He is selected as president of Australian Particle Technology Society, Chartered member IChemE, TMS, AIST, and invited/plenary speakers in several international conferences.

Yansong Shen

University of New South Wales, Australia

Education:

BEng 1996-2001 Northeastern University, Shenyang, China 

MEng 2001-2003 Northeastern University, Shenyang, China

PhD  2004-2009 The University of New South Wales, Sydney, Australia

Work Experience:

2009 – 2014Research Associate / Lecturer, University of New South Wales 

2014 – 2016ARC APDi Fellowship / Lecturer, Monash University

2016 – present Professor / ARC Future Fellowship / Associate Professor / Senior Lecturer, University of New South Wales

Selected Publications:

180 Sci papers published. Ten papers are listed below.

1.* Zhuo, Y & Shen, Y 2020, ‘Three-dimensional transient modelling of coal and coke co- combustion in the dynamic raceway of iron- making blast furnaces’, Applied Energy, vol. 261, doi:10.1016/j.apenergy.2019.114456

2. * Xie, Zhouzun, Wang, Shuai & Shen, Yansong 2020, ‘CFD-DEM modelling of the migration of fines in suspension flow through a solid packed bed’, Chemical Engineering Science, pp. 116261

3. * Wang, Shuai & Shen, Yansong 2020, ‘CFD-DEM study of biomass gasification in a fluidized bed reactor: Effects of key operating parameters’, Renewable Energy, vol. 159, pp. 1146–1164

4. * Shen, Y S, Guo, B Y, Yu, A B & Zulli, P 2009, ‘A three-dimensional numerical study of the combustion of coal blends in blast furnace’, Fuel, vol. 88, no. 2, pp. 255–263

5. * Yue, Y, Wang, T, Sakai, M & Shen, Y 2019, ‘Particle-scale study of spout deflection in a flat-bottomed spout fluidized bed’, Chemical Engineering Science, vol. 205, pp. 121– 133

6. * Xie, Z, Shen, Y, Takabatake, K, Yamaguchi, A & Sakai, M 2020, ‘Coarse-grained DEM study of solids sedimentation in water’, Powder Technology, vol. 361, pp. 21–32

7. * Cui, J, Hou, Q & Shen, Y 2020, ‘CFD-DEM study of coke combustion in the raceway cavity of an ironmaking blast furnace’, Powder Technology, vol. 362, pp. 539–549

8. * Yue, Yuanhe, Zhang, Chenxi & Shen, Yansong 2020, ‘CFD-DEM model study of gas– solid flow in a spout fluidized bed with an umbrella-like baffle’, Chemical Engineering Science, pp. 116234

9. * Yue, Yuanhe, Wang, Shuai & Shen, Yansong 2021, ‘Gas-solid mixing and heat transfer performance in alternating spout deflection’, Chemical Engineering Science, pp. 116446

10. * Yu, X & Shen, Y 2019, ‘Model analysis of gas residence time in an ironmaking blast furnace’, Chemical Engineering Science, vol. 199, pp. 50–63

Awards:

1. 2019 ARC Future Fellowship, Australian Research Council

2. 2012 ARC Postdoctoral Fellowship, Australian Research Council

Email:

ys.shen@unsw.edu.au

Website:

www.promo.unsw.edu.au

Junwu Wang

Institute of Process Engineering, Chinese Academy of Sciences, China

Polydisperse gas–solid systems are common in industrial processes, yet it unique roles are inadequately understood. This talk will discuss the works of presenter from the angle of computational fluid dynamics simulations. Firstly, multiscale simulation methods for dense gas-solid flows are briefly reviewed [1]. The development of an EMMS (Energy Minimization Multi-Scale) drag model for polydisperse gas-solid flows is then introduced [2,3], which quantifies the effects of sub-grid scale structures on the effective interphase drag force and enables the efficient and accurate simulations of polydisperse gas-solid flow in circulating fluidized bed risers. Recent development of CFD-DEM-IBM solver [4], where immersed boundary method (IBM) is used to handle the boundary conditions of fluid flow, is then discussed, which enables Cartesian grid simulation of polydisperse gas-solid flows in fluidized beds with complex geometries. Finally, Long-time simulations of residence time distribution of polydisperse particles in continuously operated multiple-chamber fluidized beds are carried out, to offer hydrodynamic insights for a better synchronized conversion of particles of different sizes in non-catalytic solid conversion processes and for an optimized scale-up of used fluidized bed reactors [5,6].

References

1. Junwu Wang, Continuum theory for dense gas-solid flow: A state-of-the-art review, Chemical Engineering Science, 2020, 215: 115428.

2. Quan Zhou, Junwu Wang, CFD study of mixing and segregation in CFB risers: Extension of EMMS drag model  to binary gas-solid flow, Chemical Engineering Science, 2015, 122: 637-651.

3. Zhiyuan Qin, Quan Zhou, Junwu Wang, An EMMS drag model for coarse grid simulation of polydisperse gas-solid flow in circulating fluidized bed risers, Chemical Engineering Science, 2019, 207: 358-378.

4. Peng Zhao, Ji Xu, Wei Ge, Junwu Wang, A CFD-DEM-IBM method for Cartesian grid simulation of gas-solid flow in complex geometries, Chemical Engineering Journal, 2020, 389: 124343.

5. Bin Lan, Ji Xu, Peng Zhao, Zheng Zou, Qingshan Zhu, Junwu Wang, Long-time coarse-grained CFD-DEM simulation of residence time distribution of polydisperse particles in a continuously operated multiple-chamber fluidized bed, Chemical Engineering Science, 2020, 219: 115599.

6. Bin Lan, Ji Xu, Peng Zhao, Zheng Zou, Junwu Wang, Qingshan Zhu, Scale-up effect of residence time distribution of polydisperse particles in continuously operated multiple-chamber fluidized beds, Chemical Engineering Science, 2021, 244: 116809.