Numerical study on supercritical water partial oxidation of ethanol in a continuous reactor

Bei, Lijing; Ge, Zhiwei; Ren, Changyifan; Su, Di; Ren, Zhenhua; Guo, Liejin

doi:10.1016/j.energy.2022.123750

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…In this paper, five parameters, including the mass flow rate of supercritical water, mass flow rate of the coal slurry, temperature of supercritical water, temperature of the outer wall and reactor length, are selected as the input parameters. The base values of the fiveparameters were chosen from Table 3, and the ranges of the five parameters refer to the results of Bei et al [20] and Fan et al [21].…”

Section: Resultsmentioning

confidence: 99%

“…In order to shorten the computational time, we used different cell sizes ranging from 1 to 10 mm and found that the final number of three-dimensional meshes of about 500,000 provides a good trade-off between accuracy and computational time (We refer to the results of Bei et al [20] that the number of mesh cells is 469,924 under the verification of mesh independence) as shown in Figure 1b. The near-wall y + value under this setting is about 100, which meets the requirement of the standard wall function (30< y + <300) of the k − turbulence model [29].…”

Section: Boundary Conditions and Numerical Schemementioning

confidence: 99%

“…The ANSYS FLUENT 2022 R1 solver is used to solve the control equations of the SCWFB reactor. In this commercial computational fluid dynamics (CFD) solver, the firstorder upwind method is used to discretize the convection term of the control Equations [21]; the Pressure-Implicit with Splitting of Operators (PISO) method is used to solve the pressure-velocity coupling problem [16]; the Renormalization Group (RNG) k − turbulence model is used for the continuous field solution [20]; and finally, the simulations are considered stable when the area-weighted average of the gas production at the reactor outlet remains constant.…”

Section: Boundary Conditions and Numerical Schemementioning

confidence: 99%

“…They found that a high temperature enhanced the hydrogen production, and the pressure had little significant effect on the gas production. Bei et al [20] numerically investigated the effects of different operating parameters on the gasification products of ethanol, indicating that the wall temperature could significantly affect the carbon gasification rate and the gas yield.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Surrogate-Assisted Parameter Analysis for Coal-Supercritical Water Fluidized Bed Reactor with Adaptive Sampling

et al. 2023

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Supercritical water fluidized beds (SCWFBs) are promising and efficient reactors for the gasification of coal in supercritical water. The understanding and investigation of multi-phase flows as well as the gasification process usually rely on time-consuming experiments or numerical simulations, which prohibit fast and full exploration of the single and coupled effects of the operation and geometric parameters. To this end, this paper builds an efficient surrogate-assisted parameter analysis framework for the SCWFB reactor. Particularly, (1) it establishes a steady numerical simulation model of the SCWFB reactor for the subsequent analysis; and (2) it employs a Gaussian process surrogate modeling via efficient adaptive sampling to serve as an approximation for predicting the carbon conversion efficiency (CE) of the reactor. Based on this parameter analysis framework, this paper investigates the effects of five independent parameters (the mass flow rate of supercritical water, mass flow rate of the coal slurry, temperature of supercritical water, temperature of the outer wall and reactor length) and their interactions on the reaction performance in terms of the carbon conversion efficiency (CE). We found that the CE increases as a function of the temperature of supercritical water, the temperature of the outer wall and the reactor length; while it decreases as a function of the mass flow rate of supercritical water and the mass flow rate of the coal slurry. Additionally, the global sensitivity analysis demonstratesthat the influence of the temperature of the outer wall exerts a stronger effect than all the other factors on the CE, and the coupled interaction among parameters has a slight effect on the CE. This research provides useful guidance for scaled-up designs and optimization of the SCWFB reactor.

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Section: Resultsmentioning

confidence: 99%

Section: Boundary Conditions and Numerical Schemementioning

confidence: 99%