Comparative study of thermal radiation properties models in turbulent non-premixed sooting combustion

Orbegoso, Elder Mendoza; Silva, Luı́s Fernando Figueira da; Serfaty, Ricardo

doi:10.1080/10407782.2015.1052318

Cited by 11 publications

(5 citation statements)

References 17 publications

(36 reference statements)

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“…For transient calculations, wherein time blending is not as effective for LBL-PMC, the highest-fidelity deterministic solver outperformed LBL-PMC by more than an order of magnitude in terms of computational efficiency. Both Orbegoso et al [206] and Wang et al [161] studied the same soot-laden turbulent diffusion flame [162]. In [206], DOM was paired with the WSGG model, while in [161], P 1 was paired with the FSK model.…”

Section: Comparison Of Rte Solversmentioning

confidence: 99%

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Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Mazumder

Roy

2023

Energies

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Modeling thermal radiation in combustion environments can be extremely challenging for two main reasons. First, the radiative transfer equation (RTE), which is the cornerstone of modeling radiation in such environments, is a five-dimensional integro-differential equation. Second, the absorption and scattering coefficients of molecular gases and particulates prevalent in combustion environments oscillate strongly with the wavenumber (or wavelength), i.e., the medium is strongly nongray, requiring the solution of the RTE for a large number of wavenumbers. This article reviews the progress that has been made in this area to date with an emphasis on the work performed over the past three decades. Progress in both deterministic and stochastic (Monte Carlo) solutions of the RTE is reviewed, in addition to the review of the treatment of the spectral properties of gases, soot, and fuel droplets that dominate combustion environments, i.e., spectral or nongray models. The application of the various state-of-the-art nongray models and RTE solution methods to flames (particularly turbulent), fires, combustors, and other combustion systems are summarized along with a critical discussion of the pros and cons of the models and methods. Finally, the challenges that remain in modeling thermal radiation in combustion systems are highlighted and future outlooks are shared.

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Section: Comparison Of Rte Solversmentioning

confidence: 99%

“…Both Orbegoso et al [206] and Wang et al [161] studied the same soot-laden turbulent diffusion flame [162]. In [206], DOM was paired with the WSGG model, while in [161], P 1 was paired with the FSK model. In both studies, two-way coupling was included.…”

Section: Comparison Of Rte Solversmentioning

confidence: 99%

Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Mazumder

Roy

2023

Energies

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“…Once the total emissivity is determined by Eq. (8), the overall absorption coefficient, a g , of the mixture CO 2 -H 2 O combustion gases, is given by [20]:…”

Section: The Weighted Sum Of Gray Gases Model -Wsggmmentioning

confidence: 99%

Heat transfer study on open heat exchangers used in jaggery production modules – Computational Fluid Dynamics simulation and field data assessment

Madrid

Marcelo

Orbegoso

et al. 2016

Energy Conversion and Management

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“…Computational models have been vastly applied to characterize and optimize the combustion processes and help on the control of the emission of pollutants, particularly soot and NO x (Zhang et al, 2010;Cremer et al, 2002). The use of computational fluid dynamics (CFD) enables the analysis of several flame properties, such as temperature and the species mass fraction included on the chemical kinetic model (Celis and Figueira da Silva, 2015;Orbegoso et al, 2016). However, high-fidelity and complex models demand a significant cost due to the number of equations that needs to be solved simultaneously and the number of nodes on the mesh (Zhang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Reduced order models applied to laminar diffusion flames

Junqueira¹,

Silva²,

Ramos³

2020

Procceedings of the 18th Brazilian Congress of Thermal Sciences and Engineering

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Computational model of combustion chambers is a major topic of research on the past decades. The modelling of such physical systems enables the analysis of several flame properties, such as velocity, species mass fraction and temperature. However, there is a high computational burden associated with the parametric exploration and the complexity of such systems. To overcome this problem, reduced order models (ROM) have been used to predict the behavior of those systems, decreasing the cost associated to the computational modeling. Accordingly, this work presents modeling of non premixed laminar flames stabilized in the Gülder burner, using a skeletal kinetic mechanism. The computational fluid dynamics flame model has been developed using Fluent 2019 R3 for the isothermal and reactive cases, for different prescribed fuel inlet velocities. The analysis of the flow and flame structures are respectively by means of the axial and radial velocity components and the mass fraction of CH 4 fields in the isothermal case; and the temperature, mass fraction of OH and CO for the reactive case. Then, the ROM is construct with StaticROM from Twin Builder based on the CFD results. The results of the ROM have a maximum absolute error of 0.0025 m/s for the velocity ROM, 0.0737 for the mass fraction of CH 4 , 98.91 K for the temperature, 1.47 10 −3 for the mass fraction of OH and 0.018 for the mass fraction of CO. These errors are acceptable for the isothermal case and for the temperature, however, for the mass fractions of OH and CO it shows a significant difference since the concentration of these species is small.

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Comparative study of thermal radiation properties models in turbulent non-premixed sooting combustion

Cited by 11 publications

References 17 publications

Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Heat transfer study on open heat exchangers used in jaggery production modules – Computational Fluid Dynamics simulation and field data assessment

Reduced order models applied to laminar diffusion flames

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