CPFD simulation of petcoke and SRF co–firing in a full–scale cement calciner

Nakhaei, Mohammadhadi; Wu, Hao; Grévain, Damien; Jensen, Lars Skaarup; Glarborg, Peter; Dam‐Johansen, Kim

doi:10.1016/j.fuproc.2019.106153

Cited by 27 publications

(12 citation statements)

References 78 publications

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“…Calcination of limestone is often performed in the cement industry in large scale calciners or kilns or furnaces. Number of CFD based modeling studies are available for such calciners [185][186][187][188]. Euler-Lagrange coupled simulations are developed to simultaneously track the gas and the solid phase.…”

Section: Calcination and Sinteringmentioning

confidence: 99%

Status and outlook for lithium-ion battery cathode material synthesis and the application of mechanistic modeling

Pardikar

Entwistle

et al. 2023

J. Phys. Energy

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This work reviews different techniques available for the synthesis and modification of cathodeactive material particles used in Li-ion batteries. The synthesis techniques are analyzed in termsof processes involved and product particle structure. The knowledge gap in the process-particlestructure relationship is identified. Many of these processes are employed in other similarindustries; hence, parallel insights and knowledge transfer can be applied to battery materials.Here, we discuss examples of applications of different mechanistic models outside the batteryliterature and identify similar potential applications for the synthesis of cathode active materials.We propose that the widespread implementation of such mechanistic models will increase theunderstanding of the process-particle structure relationship. Such understanding will providebetter control over the cathode active material synthesis technique and open doors to the precisetailoring of product particle morphologies favorable for enhanced electrochemical performance.

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Section: Calcination and Sinteringmentioning

confidence: 99%

Status and outlook for lithium-ion battery cathode material synthesis and the application of mechanistic modeling

Pardikar

Entwistle

et al. 2023

J. Phys. Energy

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“…The raw material exchanges heat with the rising hightemperature gas in the preheater. The preheated material is subsequently broken down in the decomposition furnace [30,31]. The decomposed material is calcined and undergoes a chemical reaction in the rotary kiln [32], and the calcination time lasts about 25 min.…”

Section: Selection Of Process Variablesmentioning

confidence: 99%

Soft sensor modeling of cement clinker quality: a novel timing matching technique and data decoupling approach

Zhao¹,

Wu²,

Zhang³

et al. 2023

Meas. Sci. Technol.

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Clinker f-CaO content is an important indicator of cement quality. Considering the production characteristics (strong coupling, time-varying delay) in the cement process industry, a soft sensor model was developed by combining various methods. First, a new decoupling method is proposed to deal with the strong coupling between variables, which achieves data decoupling between process variables through the attention mechanism and the LSTM network. Second, a novel time-series matching technique is proposed to handle the time-varying delays, which utilizes a window selection mechanism to adaptively select the time period in which each process variable influences the target variable. Third, the critical features of the variables are extracted by a one-dimensional convolution network(1D-CNN). Last, a combination of the data decoupling method, window selection mechanism, and 1D-CNN is applied to develop a soft sensor model (ADM-WGM-CNN), which implements the measurement of f-CaO content. The experimental results demonstrate that the ADM-WGM-CNN model has better measurement performance.

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“…g α g is the volume fraction of the gas phase, ρ g and u g are the density and velocity of the gas phase, respectively, S g is the gas source term, P is the gas pressure, τ g is the gas stress tensor, g is the acceleration of gravity, and F is the interphase momentum exchange rate per unit volume. The momentum equation 32 here neglects the viscous molecular diffusion and considers the viscous force F between the particle and the fluid as:…”

Section: Governing Equationsmentioning

confidence: 99%

Multiphase Particle-in-Cell (MP-PIC) Simulation on Fluidization and Reaction Characteristics in an 80 kW Chemical Looping Gasification Unit

Guo

Shen

Guo

et al. 2023

Fine Chemical Engineering

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A numerical simulation study of the 80 kW Chemical Looping Gasification (CLG) pilot plant fuel reactor was conducted using the Computational Particle Fluid Dynamics (CPFD) method to investigate the influence of superficial gas velocity, coal particle size and static bed height on the gas-solid fluidization characteristics in the bed. The results showed that the suitable operating ranges were superficial gas velocity in 0.36~0.48 m/s, coal particle size in 0.3~0.4 mm, and static bed height in 0.6~0.8 m, and the CLG process released gas in the whole bed compared with the cold condition, which could effectively alleviate the uneven pressure gradient distribution. In addition, the working conditions with superficial gas velocity higher than 0.36 m/s, coal particle size higher than 0.35 mm and static bed height higher than 0.6 m are more favorable to the full contact between coal particles, oxygen carrier bed particles and gas phase, thus obtaining a higher carbon conversion rate.

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CPFD simulation of petcoke and SRF co–firing in a full–scale cement calciner

Cited by 27 publications

References 78 publications

Status and outlook for lithium-ion battery cathode material synthesis and the application of mechanistic modeling

Status and outlook for lithium-ion battery cathode material synthesis and the application of mechanistic modeling

Soft sensor modeling of cement clinker quality: a novel timing matching technique and data decoupling approach

Multiphase Particle-in-Cell (MP-PIC) Simulation on Fluidization and Reaction Characteristics in an 80 kW Chemical Looping Gasification Unit

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