Numerical solutions of radiative heat transfer in combustion systems using a parallel modified discrete ordinates method and several recent formulations of WSGG model

Asllanaj, Fatmir; Contassot-Vivier, Sylvain; Botella, Olivier; França, Francis

doi:10.1016/j.jqsrt.2021.107863

Cited by 10 publications

(9 citation statements)

References 34 publications

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“…Both the DOM and the FAM have been extensively used for the computation of radiative transport in combustion environments [124,137,159,160,163,[171][172][173][174]. In an early study, Mazumder and Modest [137] used the DOM with an S 4 quadrature scheme and the FSCK spectral model to simulate a gas turbine combustor with propane as the fuel.…”

Section: Discrete Ordinates (S N Approximation) and Finite Angle Methodsmentioning

confidence: 99%

“…The finer angular grid yielded accurate solutions but at a relatively large computational cost. In [174], the standard DOM with the so-called L 2 quadrature scheme was used to model the radiation transport in a 3D enclosure with combustion gases. To approximate facial intensities, the exponential scheme [175] was used, rather than the step or diamond schemes.…”

Section: Discrete Ordinates (S N Approximation) and Finite Angle Methodsmentioning

confidence: 99%

“…While the P 1 approximation and the DOM (or FAM) were already in existence in the mid-1990s, they have been tremendously improved and extended. Most notably, both methods have now been adopted and routinely used for unstructured mesh topologies [168,174,197,198,203,204,[220][221][222][223], although not always for combustion applications. Most commercial CFD codes and public-domain codes, such as OpenFOAM, are now equipped with a parallel unstructured FAM-based RTE solver.…”

Section: Concluding Remarks and Future Perspectivesmentioning

confidence: 99%

See 2 more Smart Citations

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: Discrete Ordinates (S N Approximation) and Finite Angle Methodsmentioning

confidence: 99%

Section: Discrete Ordinates (S N Approximation) and Finite Angle Methodsmentioning

confidence: 99%

Section: Concluding Remarks and Future Perspectivesmentioning

confidence: 99%

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Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Mazumder

Roy

2023

Energies

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“…Some researchers used graphic processor units, some multicore technologies and cluster computing to reach purposes of investigations within tasks of forest fire prediction [44][45][46]. Both hard and soft computing techniques were used for these reasons [47][48][49][50][51][52][53][54][55][56][57]. Specific software paradigms were used for parallel implementation, such as Message Passing Interface, OpenMP, CUDA [58][59][60].…”

Section: Introductionmentioning

confidence: 99%

Parallel Implementation of the Algorithm to Compute Forest Fire Impact on Infrastructure Facilities of JSC Russian Railways

2021

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Forest fires have a negative impact on the economy in a number of regions, especially in Wildland Urban Interface (WUI) areas. An important link in the fight against fires in WUI areas is the development of information and computer systems for predicting the fire safety of infrastructural facilities of Russian Railways. In this work, a numerical study of heat transfer processes in the enclosing structure of a wooden building near the forest fire front was carried out using the technology of parallel computing. The novelty of the development is explained by the creation of its own program code, which is planned to be put into operation either in the Information System for Remote Monitoring of Forest Fires ISDM-Rosleskhoz, or in the information and computing system of JSC Russian Railways. In the Russian Federation, it is forbidden to use foreign systems in the security services of industrial facilities. The implementation of the deterministic model of heat transfer in the enclosing structure with the complexity of the algorithm O (2N2 + 2K) is presented. The program is implemented in Python 3.x using the NumPy and Concurrent libraries. Calculations were carried out on a multiprocessor cluster in the Sirius University of Science and Technology. The results of calculations and the acceleration coefficient for operating modes for 1, 2, 4, 8, 16, 32, 48 and 64 processes are presented. The developed algorithm can be applied to assess the fire safety of infrastructure facilities of Russian Railways. The main merit of the new development should be noted, which is explained by the ability to use large computational domains with a large number of computational grid nodes in space and time. The use of caching intermediate data in files made it possible to distribute a large number of computational nodes among the processors of a computing multiprocessor system. However, one should also note a drawback; namely, a decrease in the acceleration of computational operations with a large number of involved nodes of a multiprocessor computing system, which is explained by the write and read cycles in cache files.

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“…investigated nanofluid flow with second law analysis where not only activation energy but also the binary chemical reaction were incorporated Irfan et al (2021). analyzed Carreau nanofluid flow with mass flux theory in presence of Arrhenius activation energy Asllanaj et al (2021). showed various formulations of the WSGC model and also discussed the numerical simulations of heat transfer in presence of radiation.…”

mentioning

confidence: 99%

Numerical Modelling of a Non-Linear Radiative Non-Newtonian Nanofluid Flow With Arrhenius Activation Energy

Rabbi

Ali

Arifuzzaman³

et al. 2022

Khulna Univ. Stud.

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This research has examined the flow properties of non-linear radiative nano non- Newtonian fluid flow via a stretched sheet, as well as the impact of Arrhenius activation energy is also inspected. The basic equations, which comprised time-dependent pivotal equations, were built using boundary layer approximations. As a numerical methodology, an explicit finite difference (EFD) technique was exerted. The fluid flow has been simulated employing FORTRAN in this case. A stability and convergence study has been performed to determine the accuracy of the numerical approach, and the system was determined to be converged at Pr≥ 0.062, and Le≥ 0.016. Here, non-dimensional outcomes based on various physical characteristics are considered. The effect of these numerous physical characteristics is explained and visually represented for a variety of flow fields. Furthermore, the examination of streamlines and isothermal lines has demonstrated enhanced visualization of the fluid flow. It has been revealed that non-linear pattern thermal radiation has a substantial impact on the heat transfer properties of nanofluid. Moreover, when non-linear radiation is addressed, the Lorentz force also has a significant impact on fluid flow. A great agreement has also served as a confirmation of the current effort. This sort of fluid has potential uses in mining, lubrication, and biomedical flow.

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Numerical solutions of radiative heat transfer in combustion systems using a parallel modified discrete ordinates method and several recent formulations of WSGG model

Cited by 10 publications

References 34 publications

Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Parallel Implementation of the Algorithm to Compute Forest Fire Impact on Infrastructure Facilities of JSC Russian Railways

Numerical Modelling of a Non-Linear Radiative Non-Newtonian Nanofluid Flow With Arrhenius Activation Energy

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