Real-fluid thermophysicalModels: An OpenFOAM-based library for reacting flow simulations at high pressure

Nguyen, Danh Nam; Jung, Ki Sung; Shim, Jae Won; Yoo, Chun Sang

doi:10.1016/j.cpc.2021.108264

Cited by 9 publications

(3 citation statements)

References 58 publications

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“…The simulation of turbulent combustion using OpenFoam has recently attracted considerable attention, e.g., [7][8][9]. Recent publications discussing the radiative heat and thermodynamics modeling in OpenFoam include [10][11][12][13]. This paper fills the gap in the publications on the use of OpenFoam for the simulation of industrial furnaces.…”

Section: Introductionmentioning

confidence: 98%

Modelling a Turbulent Non-Premixed Combustion in a Full-Scale Rotary Cement Kiln Using reactingFoam

Lahaye

Juretić²,

Talice

2022

Energies

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No alternatives are currently available to operate industrial furnaces, except for hydrocarbon fuels. Plant managers, therefore, face at least two challenges. First, environmental legislation demands emission reduction. Second, changes in the origin of the fuel might cause unforeseen changes in the heat release. This paper develops the hypothesis for the detailed control of the combustion process using computational fluid dynamic models. A full-scale mock-up of a rotary cement kiln is selected as a case study. The kiln is fired by the non-premixed combustion of Dutch natural gas. The gas is injected at Mach 0.6 via a multi-nozzle burner located at the outlet of an axially mounted fuel pipe. The preheated combustion air is fed in (co-flow) through a rectangular inlet situated above the attachment of the fuel pipe. The multi-jet nozzle burner enhances the entrainment of the air in the fuel jet. A diffusion flame is formed by thin reaction zones where the fuel and oxidizer meet. The heat formed is transported through the freeboard, mainly via radiation in a participating medium. This turbulent combustion process is modeled using unsteady Favre-averaged compressible Navier–Stokes equations. The standard k-ϵ equations and standard wall functions close the turbulent flow description. The eddy dissipation concept model is used to describe the combustion process. Here, only the presence of methane in the composition of the fuel is accounted for. Furthermore, the single-step reaction mechanism is chosen. The heat released radiates throughout the freeboard space. This process is described using a P1-radiation model with a constant thermal absorption coefficient. The flow, combustion, and radiative heat transfer are solved numerically using the OpenFoam simulation software. The equations for flow, combustion, and radiant heat transfer are discretized on a mesh locally refined near the burner outlet and solved numerically using the OpenFoam simulation software. The main results are as follows. The meticulously crafted mesh combined with the outlet condition that avoids pressure reflections cause the solver to converge in a stable manner. Predictions for velocity, pressure, temperature, and species distribution are now closer to manufacturing conditions. Computed temperate and species values are key to deducing the flame length and shape. The radiative heat flux to the wall peaks at the tip of the flame. This should allow us to measure the flame length indirectly from exterior wall temperature values. The amount of thermal nitric oxide formed in the flame is quantified. The main implication of this study is that the numerical model developed in this paper reveals valuable information on the combustion process in the kiln that otherwise would not be available. This information can be used to increase fuel efficiency, reduce spurious peak temperatures, and reduce pollutant emissions. The impact of the unsteady nature of the flow on the chemical species concentration and temperature distribution is illustrated in an accompanying video.

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Section: Introductionmentioning

confidence: 98%

Modelling a Turbulent Non-Premixed Combustion in a Full-Scale Rotary Cement Kiln Using reactingFoam

Lahaye

Juretić²,

Talice

2022

Energies

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“…It can be seen that the wind field and ground roughness are important factors that affect the change of airflow and lead to the change of particle concentration distribution. 17,18 The deposition and diffusion process of smoke screen particles is actually the change process of concentration and particle aggregation state. 19,20 As the material source enters the atmosphere, the particles drift with the airflow.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the wind field is a key factor, affecting the distribution of aerosol concentration. It can be seen that the wind field and ground roughness are important factors that affect the change of airflow and lead to the change of particle concentration distribution 17 , 18 …”

Section: Introductionmentioning

confidence: 99%

Analysis of infrared extinction performance of the smoke screen in the field

et al. 2022

Opt. Eng.

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. The prediction of infrared extinction performance is one of the indispensable factors for the research of smoke screen. So far, it is still short of an accurate numerical simulation for the infrared extinction performance after releasing smoke screen. We present a method for calculating the infrared extinction performance of smoke screen. The standard k − ε turbulence model and the concentration equation of smoke screen are combined to carry out numerical simulation research on the sedimentation and diffusion process of smoke screen in the field. The shape and mass concentration distribution of smoke screen are studied under different wind speeds and ground roughness. Lambert–Beer’s law is combined to calculate the infrared extinction area of the smoke screen under different conditions, and the influence law on the smoke screen extinction performance is analyzed under different conditions. The validity of the numerical simulation results is verified by the field test. It is a useful method for guiding the design of field experiments. This work is widely used in the evaluation of extinction performance and provided more information for use by decision makers.

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Multicomponent Effects on the Supercritical CO2 Systems: Mixture Critical Point and Phase Separation

Zhang

Yang

2022

Flow Turbulence Combust

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Real-fluid thermophysicalModels: An OpenFOAM-based library for reacting flow simulations at high pressure

Cited by 9 publications

References 58 publications

Modelling a Turbulent Non-Premixed Combustion in a Full-Scale Rotary Cement Kiln Using reactingFoam

Modelling a Turbulent Non-Premixed Combustion in a Full-Scale Rotary Cement Kiln Using reactingFoam

Analysis of infrared extinction performance of the smoke screen in the field

Multicomponent Effects on the Supercritical CO2 Systems: Mixture Critical Point and Phase Separation

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