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The International Multiphase Flow Technology Forum (20) Keynote Report

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IMFTF Keynote Meeting (20) Schedule

Date & Time: Fri, 30 June. 2023, 19:00

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Chair:   

Professor Jun Yao, China University of Petroleum, Beijing, China


Opening:

(19:00 – 19:05 Beijing Time) 


Programme:

Keynote Speech-1

(19:05 – 19:45 Beijing Time) 

Professor David Pallarès

Chalmers University of Technology, Sweden

Q&A 

(19:45 – 20:00 Beijing Time)


Keynote Speech-2

(20:00 – 20:40 Beijing Time)

Assistant professor Yali Tang

Eindhoven University of Technology, the Netherlands

Q&A 

(20:40 – 20:55 Beijing Time)


Discussions, closing

(20:55  –  21:00  Beijing  Time)


TBD


Platform:  Zoom:

https://us06web.zoom.us/j/83435586191?pwd=QWR5TEczalpSSUlrWVZEaHM4ZFJ4QT09

Meeting ID: 834 3558 6191

Passcode:   0630


Organizer

  International Multiphase Flow Technology Forum

China University of Petroleum-Beijing
  Chinese Society of Particuology


View Live

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Channel(视频号)

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Bilibili(b站)

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Weibo(微博)

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Youtube


Keynote Speech-1

Experimental diagnostics for the improved modeling of gas-solids fluidized beds

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David Pallarès

Professor

Chalmers University of Technology, Sweden

Fluidized bed technology is widely used within a number of relevant industrial sectors: heat and power production (for solid fuel conversion), refinery, pharmaceutics, food industry, materials, etc. In the latter years, coupled to climate change and the call for a transition to sustainable energy systems, high expectations have been set on fluidized bed technology, since it serves as core technology to a number of envisioned key applications aimed at energy conversion with zero or negative CO2 emissions and energy storage.


Despite the current and envisioned relevance of fluidized bed technology, the complexity of its flow phenomena results in that most models cannot yet provide reliable simulations of large-scale FB units. As a consequence, the design and scale-up of new applications are still based on operational experience from mature FB processes, which slows down the development.


This lecture gives insight into the state-of-the-art experimental techniques which can contribute to mine knowledge of relevance for the development of more reliable model descriptions.

 

References:

Farha, M., Guío-Pérez, C., Aronsson, J., Johnsson, F., Pallarès, D. 2023. “Assessment of experimental methods for the measurement of horizontal solids flow in a bubbling fluidized bed”. Fuel, 348, 128515.

Guío-Pérez, D.C., Johnsson, F., Pallarès, D. 2023. ” Experimental investigation of the lateral mixing of large and light particles immersed in a fluidized bed”. Fuel, 346, 128343.

Guío-Pérez, D.C., Bonmann, M., Bryllert, T., Seemann, M., Stake, J., Johnsson, F., Pallarès, D. 2023. ”Radar-based measurements of the solids flow in a circulating fluidized bed”. Fuel, 345, 128232

Guío-Pérez, D.C., Köhler, A., Prati, A., Pallarès, D., Johnsson, F. 2023. “Effective drag on spheres immersed in a fluidized bed at minimum fluidization – influence of bulk solids properties”. Canadian Journal of Chemical Engineering, 101, 210-216

Bonmann, M., Guío-Pérez, D.C., Bryllert, T., Pallarès, D., Seemann, M., Johnsson, F., Stake, J. 2023. "Sub-millimetre wave range-Doppler radar as a diagnostic tool for gas-solids systems - solids concentration measurements". Advanced Powder Technology, 34(1), 103894

Djerf, T., Pallarès, D., Johnsson, F., Sardina, G., Ström, H. 2022. “Solids back-mixing in the transport zone of circulating fluidized bed boilers”. Chemical Engineering Journal, 428,130976

Djerf, T., Pallarès, D., Johnsson, F. 2021. “Solids flow patterns in large-scale Circulating Fluidised Bed boilers: experimental evaluation under fluid-dynamically down-scaled conditions”. Chemical Engineering Science, 231, 116309

Köhler, A., Pallarès, D., Johnsson, F. 2017. “Magnetic tracking of a fuel particle in a fluid-dynamically down-scaled fluidised bed”. Fuel Processing Technology, 162, 147-156

Köhler, A., Rasch, A., Pallarès, D., Johnsson, F. 2017. “Experimental characterization of axial fuel mixing in fluidized beds by magnetic particle tracking”. Powder Technology, 316, 492-499

 

Speaker Information

Education:

• 1993-1998: Mechanical Engineering, Polytechnic University of Catalonia

• 2003-2008: PhD studies, Fluidized bed combustion, Chalmers University of Technology


Awards:

 2021 PhD supervisor of the year


Work Experience:

• 2008-2010, post-doctoral fellow, Chalmers University of Technology

• 2010-2016, Assistant professor, Chalmers University of Technology

• 2016-2021, Associate professor, Chalmers University of Technology

• 2021-present, Professor, Chalmers University of Technology


Selected Publications:

• Guío-Pérez, D.C., Bonmann, M., Bryllert, T., Seemann, M., Stake, J., Johnsson, F., Pallarès, D. 2023. ”Radar-based measurements of the solids flow in a circulating fluidized bed”. Fuel, 345, 128232

• Köhler, A., Guío-Pérez, D.C., Prati, A., Larcher, M., Pallarès, D. 2021. “Rheological effects of a gas fluidized bed emulsion on falling and rising spheres”. Powder Technology, 393, 510-518

• Pallarès, D., Johnsson, F. 2006. “Macroscopic modelling of fluid dynamics in large-scale circulating fluidized beds”. Progress in Energy and Combustion Science, 32 (5-6), pp.539-569.


Email:

david.pallares@chalmers.se


Keynote Speech-2

Coarse-grained CFD-DEM simulations of gas-solid reacting flows containing polydisperse particles

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Yali Tang

Assistant professor

Eindhoven University of Technology, the Netherlands

Computational Fluid Dynamics (CFD) coupled with Discrete Element Method (DEM) has been a popular framework for simulations of gas-solid flows in many engineering applications. Coarse graining (CG) approaches are introduced to ease the computational burden in DEM modelling of large-scale systems. The essence of CG approaches is to replace a number of small primary particles with a representative large parcel, while keeping the energy lost per collision event equivalent. When the computational cell and particle/parcel sizes are comparable, a smoothing scheme needs to be applied for the Euler-Lagrange information exchange, i.e., momentum, heat and mass transfer. However, when it comes to polydisperse systems, the state-of-the-art smoothing schemes do not account for the variation in particle sizes, resulting in unrealistic flow behaviors. To correct this shortcoming, we developed a particle-size dependent diffusivity smoothing scheme for polydisperse systems. 


In this talk, I will show some applications of the developed model for simulations of the CRIEPI burner with pulverized coal combustion, raceway modelling in an industrial blast furnace, as well as regeneration of iron fuel in a fluidized bed. For complex (combustion) reactions, the Flamelet Generated Manifold (FGM) is incorporated for effective modelling of gaseous reactions in the continuum phase. Overall, our model can effectively reduce the computational cost while maintaining a good accuracy in predicting the flow dynamics as well as thermochemical behavior of polydisperse gas-solid flows.

 

References:

Huang, C. C., van Oijen, J. A., Deen, N. G., & Tang, Y. (2023). A particle-size dependent smoothing scheme for polydisperse Euler-Lagrange simulations. Chemical Engineering Science, 277, 118765.

Huang, C. C., van Oijen, J. A., Deen, N. G., & Tang, Y. (2022). Incorporation of flamelets generated manifold method in coarse-grained Euler-Lagrange simulations of pulverized coal combustion. Chemical Engineering Science, 260, 117838.

Huang, C. C., van Oijen, J. A., Deen, N. G., & Tang, Y. (2023). Comprehensive numerical modeling of raceways in modern blast furnaces. Chemical Engineering Science, under review.

Liu, X., Hessels, C. J. M., Deen, N. G., & Tang, Y. (2023). CFD-DEM investigation on the agglomeration behavior of micron-sized combusted iron fines. Fuel, 346, 128219.


Speaker Information

Education:

• 2011 – 2015  Ph.D., Multiphase Reactors Group, Dept. Chemical Engineering and Chemistry, Eindhoven University of Technology - The Netherlands

• 2008 – 2011  M.Sc. in Chemical Engineering and Technology, Sichuan University - China

• 2004 – 2008  B.Sc. in Chemistry and Chemical Engineering with a minor in English, Sichuan University - China


Awards:

• Iron Power Consortium, TU/e Team Science Award, 2023

• Winner of OpenMind Competition, Dutch Research Council (NWO), 2020


Work Experience:

• 2017 – now   Assistant professor, Power and Flow group, Dept. Mechanical Engineering, Eindhoven University of Technology - The Netherlands

• 2015 – 2017  Post-doc research on ‘Micro-mechanics of wet solids in gas-solid contactors’, Multiphase Reactors Group, Dept. Chemical Engineering and Chemistry, Eindhoven University of Technology - The Netherlands


Selected Publications:

[1].  Khalighi, F., Deen, N. G., Tang, Y., & Vreman, A. W. (2023). Hydrogen bubble growth in alkaline water electrolysis: An immersed boundary simulation study. Chemical Engineering Science, 267, 118280.

[2].  Liu, X., Zhang, X., Li, J., Zhu, Q., Deen, N. G., & Tang, Y. (2023). Regeneration of iron fuel in fluidized beds, Part I: Defluidization experiments and theoretical prediction model. Powder Technology, 118182.

[3].  Subburaj, R., Tang, Y., & Deen, N. G. (2023). An improved lift model for Euler-Lagrange simulations of bubble columns. Chemical Engineering Science, 265, 118182.

[4].  Huang, C. C., van Oijen, J. A., Deen, N. G., & Tang, Y. (2023). A particle-size dependent smoothing scheme for polydisperse Euler-Lagrange simulations. Chemical Engineering Science, 277, 118765.

[5].  Huang, C. C., van Oijen, J. A., Deen, N. G., & Tang, Y. (2022). Incorporation of flamelets generated manifold method in coarse-grained Euler-Lagrange simulations of pulverized coal combustion. Chemical Engineering Science, 260, 117838.

[6].  Tang, Y., Kuipers, J.A.M., Multiscale modelling of gas-fluidized bed, Book chapter, in Mod-
elling Approaches and Computational Methods for Particle Laden Turbulent Flows edited by S. Subramaniam & S. Balachandar, 2022.

[7].  Liu, X., Deen, N. G., & Tang, Y. (2021). On the treatment of bed-to-wall heat transfer in CFD-DEM simulations of gas-fluidized beds. Chemical Engineering Science, 236, 116492.

[8].  Tang, Y., Kuipers, J. A. M., Buck, B., Heinrich, S., & Deen, N. G. (2017). Interface‐resolved simulations of normal collisions of spheres on a wet surface. AIChE Journal, 63(11), 4774-4787.

[9].  Tang, Y., Lau, Y. M., Deen, N. G., Peters, E. A. J. F., & Kuipers, J. A. M. (2016). Direct numerical simulations and experiments of a pseudo-2D gas-fluidized bed. Chemical Engineering Science, 143, 166-180.

[10].Tang, Y., Peters, E. A. J. F., Kuipers, J. A. M., Kriebitzsch, S. H. L., & van der Hoef, M. A. (2015). A new drag correlation from fully resolved simulations of flow past monodisperse static arrays of spheres. AIChE journal, 61(2), 688-698.


Email:

y.tang2@tue.nl


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