Cylindrical porous radiant burner with internal combustion regime: Energy saving analysis using response surface method

Vahidhosseini, Seyed Mohammad; Esfahani, Javad Abolfazli; Kim, Kyung Chun

doi:10.1016/j.energy.2020.118231

Cited by 16 publications

(3 citation statements)

References 42 publications

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“…It is worth noting that tests can be experiments or simulations. [21][22][23] In this work, numerical simulation is used as a test to verify the reliability of the RSM model and the accuracy of the prediction results.…”

Section: Bluff-body Size Optimization Based On Response Surface Methodsmentioning

confidence: 99%

“…A number of previous works have been done on the application of the response surface method (RSM) in scientific research. Vahidhosseini et al [ 21 ] performed a RSM analysis on a cylindrical porous radiant burner with internal combustion regime. Three dependent variables of the output enthalpy, radiant efficiency, and radiative heat were investigated by the verified model.…”

Section: Introductionmentioning

confidence: 99%

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Structure Optimization of Hydrogen‐Fueled Multiple Direct‐Injection Trapped Vortex Combustor Using Response Surface Method

Wu,

Zeng,

Liu

et al. 2023

Energy Tech

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A hydrogen‐fueled multiple direct‐injection trapped vortex combustor is proposed to improve the unstable combustion and reduce NO emission. The effects of bluff‐body depth, bluff‐body height, and bluff‐body angle on the combustion flow characteristics are analyzed. NO emission is used as the main response value, the response surface method (RSM) is adopted to optimize the bluff‐body depth, bluff‐body height, and bluff‐body angle. The results show that the bluff‐body depth, bluff‐body height, and bluff‐body angle have significant effects on the NO emission, with the increase of the three parameters, NO emission first drops and then rises, but the effects on the pressure loss and outlet temperature distribution factor (OTDF) are very small. After optimization by RSM, the optimal bluff‐body parameters are the bluff‐body depth a = 56.5 mm, the bluff‐body height b = 128.9 mm, and the bluff‐body angle α = 77.6°. Under these circumstances, the maximum radial distances of the front concave vortex and the rear concave vortex reach 48 mm and 57 mm, respectively, which enhances the combustion stability. Furthermore, NO emission of 1.64 ppmv in the optimization structure is significantly optimized compared to NO emission of 4.32 ppmv in the original structure.

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Section: Bluff-body Size Optimization Based On Response Surface Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structure Optimization of Hydrogen‐Fueled Multiple Direct‐Injection Trapped Vortex Combustor Using Response Surface Method

Wu,

Zeng,

Liu

et al. 2023

Energy Tech

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“…While the porous burner is made of foam or pellets/beads in the above literature survey, new designs are proposed such as a porous radiant burner where the combustion takes place within a volume confined by a porous structure having a high pore density (porosity close to 65% and 30-70 pores per inch (PPI)) [24e26]. This approach, named internal combustion regime (ICR), is said to offer radiant efficiency greater than 50% without mixture preheat [24]. Other recent approaches based on the idea of using tailored porous structures has recently emerged as a potential application to CPM [27,28].…”

Section: Introductionmentioning

confidence: 99%

Numerical study of the impact of tailored porous media design on syngas production from methane-rich combustion

Roussel

Billerot²,

Lemaire³

et al. 2023

International Journal of Hydrogen Energy

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A dynamic two‐level artificial neural network for estimation of parameters in combined mode conduction‐radiation heat transfer in porous medium: An application to handle huge dataset with noise

et al. 2021

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A dynamic two-level artificial neural network (DTLANN) approach is used for the estimation of parameters in combined mode conduction-radiation heat transfer in a porous medium. Four commonly used neural networks: feed forward, cascade forward, fitnet, and radial basis are used in mapping artificial neural network (ANN), and their performance is compared under noisy big data (10,302 × 1300 matrix size).Governing equations for heat transfer in the porous medium through conduction and radiation modes are solved by finite volume method and discrete transfer method. This numerical model is called a direct model. A large amount of data is generated by using the direct model for different values of extinction coefficient β and convective coupling P 2 . These data were divided into different groups (class) based on the temperature difference between the gas and solid phase. In the inverse analysis, a

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Cylindrical porous radiant burner with internal combustion regime: Energy saving analysis using response surface method

Cited by 16 publications

References 42 publications

Structure Optimization of Hydrogen‐Fueled Multiple Direct‐Injection Trapped Vortex Combustor Using Response Surface Method

Structure Optimization of Hydrogen‐Fueled Multiple Direct‐Injection Trapped Vortex Combustor Using Response Surface Method

Numerical study of the impact of tailored porous media design on syngas production from methane-rich combustion

A dynamic two‐level artificial neural network for estimation of parameters in combined mode conduction‐radiation heat transfer in porous medium: An application to handle huge dataset with noise

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