A comparative study of radiation models on propane jet fires based on experimental and computational studies

Mashhadimoslem, Hossein; Ghaemi, Ahad; Palacios, Adriana

doi:10.1016/j.heliyon.2021.e07261

Cited by 8 publications

(5 citation statements)

References 52 publications

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“…The P-1 radiation model is chosen as the radiation model. The P-1 model is a simplification of the RTE model [61]. The P-1 model has low CPU requirements [62].…”

Section: Radiation Modelmentioning

confidence: 99%

Numerical Simulation and Consequence Analysis of Full-Scale Jet Fires for Pipelines Transporting Pure Hydrogen or Hydrogen Blended with Natural Gas

Li,

Wang,

Jiang

et al. 2024

Fire

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The use of existing natural gas pipelines for the transport of hydrogen/natural gas mixtures can achieve large-scale, long-distance and low-cost hydrogen transportation. A jet fire induced by the leakage of high-pressure pure hydrogen and hydrogen-blended natural gas pipelines may pose a severe threat to life and property. Based on the Abel–Nobel equation of state and a notional nozzle model, an equivalent pipe leakage model is established to simulate high-pressure pipeline gas leakage jet fire accidents. Large-scale high-pressure hydrogen and natural gas/hydrogen mixture jet fires are simulated, showing the jet impingement process and obtaining an accurate and effective simulation framework. This framework is validated by comparing the simulated and experimental measured results of flame height, flame appearance and thermal radiation. Several combustion models are compared, and the simulated data show that the non-premixed chemical equilibrium combustion model is superior to other combustion models. The influence of the pipe pressure and the hydrogen blending ratio on the consequences of natural gas/hydrogen mixture pipeline leakage jet fire accidents is explored. It is found that when the hydrogen blending ratio is lower than 22%, the increase in the hydrogen blending ratio has little effect on the decrease in the thermal radiation hazard distance.

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“…The P-1 radiation model is chosen as the radiation model. The P-1 model is a simplification of the RTE model [61]. The P-1 model has low CPU requirements [62].…”

Section: Radiation Modelmentioning

confidence: 99%

Numerical Simulation and Consequence Analysis of Full-Scale Jet Fires for Pipelines Transporting Pure Hydrogen or Hydrogen Blended with Natural Gas

Li,

Wang,

Jiang

et al. 2024

Fire

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“…[ 39 ] Using the ANN and CFD methodology for jet fire shape simulations, Mashhadimoslem et al provided new strategies to shorten the calculation time. [ 32,45 ] The influence of dimensionless parameters has been studied individually in jet‐fire modelling, and the models used are relatively basic. It is required to create a thorough and accurate model that examines all parameters at the same time, is quick, and is based on data.…”

Section: Introductionmentioning

confidence: 99%

“…[1,3,12,[13][14][15][16][19][20][21][22][23][24][25][26][27][28][29][30][31][32] One of the most common methods used nowadays for large-scale jet fire radiation predictions is the use of numerical solution methods, which demand computational time and hardware infrastructure. [32][33][34] Hyperspectral photography, which Wang et al pioneered to improve the prediction of combustion parameters, was used to gather information about the fire. [35] All of the spectral and spatial data in the fire hyperspectral picture have been employed as input parameters in the 3D convolutional neural network (3D-CNN) prediction model.…”

Section: Introductionmentioning

confidence: 99%

Machine learning modelling and evaluation of jet fires from natural gas processing, storage, and transport

et al. 2023

Self Cite

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Jet fires and their repercussions play a significant role in catastrophic incidents that typically have a cascading impact in process industries. Several hydrocarbon experiments from 19 papers were incorporated into the current endeavour to develop simulations of jet flames using machine learning (ML) models. Dimensionless characteristics have been used as output and input variables, including mass flow rates, fuel density, jet flame length, and heat release fluxes. When training three layers of the multi‐layer feedforward neural network (MLFFNN) method, a Bayesian regularization backpropagation approach was adopted and evaluated with the radial based functions (RBF) algorithm. Through an optimization procedure, the first and second hidden layers of the MLFFNN have been optimized to include 10 and five neurons, respectively. The RBF algorithm with 40 neurons in a single layer has been computed using the same method. The best mean square error (MSE) validation results for RBF and MLFFNN were 0.006 and 0.0002, respectively, for 40 and 100 epochs. The MLFFNN and RBF models' respective regression statistical analysis outputs were 0.9949 and 0.9645. The ML method has been identified as a potentially useful technique for precisely predicting the geometrical and radiative characteristics of jet flames.

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“…Optical methods showed the greatest efficiency in determining the main characteristics of the combustion of gases because of their high speed and accuracy. Despite all the advantages of these methods, their main disadvantage is the price and folding of implementation [4][5][6]. Therefore, today it is necessary to improve approaches to solve this issue.…”

Section: Introductionmentioning

confidence: 99%

Diffusion flames and a semi-empirical method for estimating the distribution of hydrogen molecules in propane flames

Sargsyan,

Gukasyan,

Sargsyan

et al. 2023

Scientific Herald of Uzhhorod University Series Physics

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Relevance. The greatest effectiveness in determining the main characteristics in gas burning was shown by optical methods due to their high speed and accuracy. Despite all the advantages of these methods, their main disadvantage is the price and folding of implementation. Therefore, today it is necessary to improve approaches to solve this problem. Purpose. The research is devoted to the study of diffusion flame by a semi-empirical method. Methods. The data of the experimental study of the diffusion flame of hydrocarbons on the example of propane are presented. To visualize the invisible part of the structure of this flame, namely, the afterburning zone of hydrogen molecules formed in the flames in nonequilibrium quantities and, due to the large value of the diffusion coefficient, leaving the flame zone and creating a new combustion zone, molecules containing atoms of alkali metals (NaCl and Na2CO3) are vaporized in the flame zone. Results. The method of delivery of molecules of alkali metal salts from outside was applied for the first time, which allowed the investigation of this phenomenon more thoroughly. Based on the research results, a method for determining the concentration of hydrogen atoms and the relative distribution of the concentration of hydrogen molecules along the axis of propagation of the flame after the burning zone was proposed. The research method combines experiments with mathematical modeling. The application of the method described in the article makes it possible to determine the distribution of hydrogen molecules over the glow zone of the main fuel. Conclusions. The results obtained will help to better understand the phenomena of hydrocarbon combustion under diffusion flame conditions, as well as to search for new ways of obtaining hydrogen fuel from domestic waste treatment

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A comparative study of radiation models on propane jet fires based on experimental and computational studies

Cited by 8 publications

References 52 publications

Numerical Simulation and Consequence Analysis of Full-Scale Jet Fires for Pipelines Transporting Pure Hydrogen or Hydrogen Blended with Natural Gas

Numerical Simulation and Consequence Analysis of Full-Scale Jet Fires for Pipelines Transporting Pure Hydrogen or Hydrogen Blended with Natural Gas

Machine learning modelling and evaluation of jet fires from natural gas processing, storage, and transport

Diffusion flames and a semi-empirical method for estimating the distribution of hydrogen molecules in propane flames

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