Study of wall-to-bed heat transfer in circulating fluidized bed riser based on CFD simulation

Wanchan, Waritnan; Khongprom, Parinya; Limtrakul, Sunun

doi:10.1016/j.cherd.2020.02.021

Cited by 16 publications

(8 citation statements)

References 67 publications

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“…Thus, the model can be selected for use in further CFB Boiler research. The validation process is carried out by comparing the pressure drop value in the furnace from a height of 0 -30 m. Figure 5 illustrates the comparison of the pressure distribution values between the simulation results and three turbulence models as well as experiments and simulations by Zhang et al, The error value obtained from the pressure drop is 6.59% with the standard 𝑘 − 𝜀 model, 6.24% with the RNG 𝑘 − 𝜀 model, and 6.36% with the RSM, indicating that the maximum permitted error limit of 10% has been met [28]. In addition, the error values from the simulations of Zhang et al, to the experimental data is 8.55% by the RNG 𝑘 − 𝜀 turbulence model, which makes this model have the most minor error value in this study.…”

Section: Validation Of Resultsmentioning

confidence: 83%

“…4 contains specific information regarding the properties of the granular phase materials. A two-phase flow model with granular kinetic flow theory was used to predict hydrodynamic phenomena [28]. The value of boundary condition is adjusted to the simulation data of Zhang et al, in order to obtain accurate value that are close to the experimental data [24].…”

Section: Simulation Settingsmentioning

confidence: 99%

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Hydrodynamic Analysis Inside a Circulating Fluidized Bed Boiler Based on Time Change Using CFD

Utomo

Yohana²,

Halim³

et al. 2023

ARFMTS

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The power generation industry has progressively improved the design of power plants to tackle global climate change. Coal-fired power plants will be cleaner and more efficient with the CFB (Circulating Fluidized Bed) technology in the boiler. CFB boilers have the advantage where the resulting carbon dioxide, SOx, and NOx emissions are significantly reduced. This makes research on CFB boilers widely carried out, especially those using CFD (Computational Fluid Dynamic). This study aims to determine the most appropriate turbulence model using CFD simulations on CFB boilers to analyze the hydrodynamic elements in the boiler against time changes, including the distribution of solid volume fractions, pressure, velocity, and wall shear stress. Three turbulence models were tested as part of the simulation: standard , RNG , and RSM, which were then compared to earlier research. The RNG model produces the closest result to the experimental data, with an error value of 6.24%. Solid volume fraction area is increasingly widespread with values ranging from 0.05 to 0.1 from the furnace’s bottom to a height of 15 m. The high-pressure area further expands at the bottom of the furnace to a height of 15 m, with values ranging from 3 kPa to 10 kPa. The outlet line velocity has increased from 43 m/s to 50 m/s. The wall shear stress increases from 0.75 Pa to 1.1 Pa at the outlet wall.

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Section: Validation Of Resultsmentioning

confidence: 83%

Section: Simulation Settingsmentioning

confidence: 99%

Hydrodynamic Analysis Inside a Circulating Fluidized Bed Boiler Based on Time Change Using CFD

Utomo

Yohana²,

Halim³

et al. 2023

ARFMTS

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“…The Eulerian–Eulerian two-fluid model (TFM) was applied to the gas–solid flow system in which both the gas and catalyst particles were regarded as the interpenetrating fluid. , The fluid dynamic properties of solid particles were calculated based on the kinetic theory of granular flow (KTGF) . The relevant expressions of conservation equations about mass, momentum, drag model, and turbulence are shown in Table . − For governing equations, the subscripts “g” and “s” represent the gas phase and solid phase, respectively.…”

Section: Computational Modelmentioning

confidence: 99%

Simulation of Hydrodynamics of the Riser Reactor for Catalytic Cracking of Crude Oil to Chemicals

Wang

Jiao

et al. 2023

Ind. Eng. Chem. Res.

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Direct catalytic cracking of crude oil to chemicals (ccCOTC) has become the development trend in the petrochemical industry. A riser is one of the key reactors in a ccCOTC process. In this work, a two-fluid model (TFM) was used to simulate a relationship between the reactor geometry and gas–solid flow in a typical riser (inside diameter of 17 mm and height of 4.5 m) established in our laboratory, with the aim of improving chemical yield and optimizing the reactor geometry in a ccCOTC process. The effects of key geometric parameters, including the angle between an oblique pipe for catalyst return and the vertical riser (α), the distance between the nozzle orifice and catalyst return oblique pipe (L), the ratio of height to diameter in the prelifting zone (H/D), and the number of catalysts returning to oblique pipes (n), on the distribution of catalyst particles and product profiles were studied. An optimized reactor geometry was proposed according to the index of gas–solid dispersion evenness. To further know the effect of the riser geometry on the product distribution, the two-fluid model (TFM) coupled with a four-lumped kinetic model was used to predict the cracking product profiles along the riser axial. It was found that the ccCOTC riser can remarkably enhance the yield of target chemicals (C2–C4 olefins, benzene, toluene, and xylene), which was approximately 3.1% higher than the result from the pilot test (using the riser before geometry optimization). This work could provide fundamental support on the design of a reactor to maximize light olefins and monocyclic aromatic hydrocarbons in the ccCOTC process.

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“…These two approaches are the effective methods that currently used to predict gas-solid multiphase ow behaviors coupled with chemical reaction, heat and mass transfer. [34][35][36][37][38][39][40] However, the latter is widely used due to its simplicity and relatively low computational cost. In addition, several researchers applied the CFD approach to simulate FCC in uidized bed reactors.…”

Section: Introductionmentioning

confidence: 99%

“…Computational uid dynamics (CFD) is the effective tool to simulate gas-solid ow systems in recent years. 23,24 CFD offers a qualitative and quantitative prediction of the performance of uid ows via mathematical modeling, numerical methods, and soware tools. 25 Using existing experimental data from the literature, [26][27][28][29] the accuracy of the CFD model prediction of ow behavior in multiphase ow reactors has been statistically conrmed.…”

Section: Introductionmentioning

confidence: 99%

Scaling of catalytic cracking fluidized bed downer reactor based on CFD simulations—Part II: effect of reactor scale

et al. 2022

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Study of wall-to-bed heat transfer in circulating fluidized bed riser based on CFD simulation

Cited by 16 publications

References 67 publications

Hydrodynamic Analysis Inside a Circulating Fluidized Bed Boiler Based on Time Change Using CFD

Hydrodynamic Analysis Inside a Circulating Fluidized Bed Boiler Based on Time Change Using CFD

Simulation of Hydrodynamics of the Riser Reactor for Catalytic Cracking of Crude Oil to Chemicals

Scaling of catalytic cracking fluidized bed downer reactor based on CFD simulations—Part II: effect of reactor scale

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