Effects of the physical properties of fuel on spray characteristics from a gas turbine nozzle

Shin, Jisoo; Kim, Dong Hwan; Seo, Jeawon; Park, Sungwook

doi:10.1016/j.energy.2020.118090

Cited by 33 publications

(8 citation statements)

References 21 publications

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“…It was noted in [73][74][75][76] that the density value r of a liquid has a more significant effect on spraying characteristics, i.e., low values of r intensify the processes of droplet destruction due to the rapid rupture of physical bonds between still whole droplets [74,75]. Therefore, to obtain complete information about the rheological properties of low-carbon ACWF, experimental studies of changes in their densities r were performed.…”

Section: Resultsmentioning

confidence: 99%

“…It was found that the density of the studied ACWF varies from 1148 to 1130 kg m -3 at 3 % and 8 % of IPA, respectively. Although the values of r differ slightly, it is fair to assume (considering the results of studies [73][74][75][76]) that jet characteristics (spraying angle, droplet size distribution, and velocity) after spraying such ACWF should be better than that of a typical two-component CWF.…”

Section: Resultsmentioning

confidence: 99%

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Spraying Characteristics of Alcohol‐Coal‐Water Slurries with Low Coal Content

et al. 2022

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The results of spraying characteristics of alcohol‐coal‐water slurries are presented. It has been experimentally proved that the lowest viscosity value of the studied slurries varies from 54 to 329 mPa s. The density value of alcohol‐coal‐water slurries decreases to 1130 kg m−3 when the content of isopropyl alcohol in the fuel composition is 8 wt %. The largest value of jet spraying angle corresponds to alcohol‐coal‐water fuel with an isopropyl alcohol content of 8 wt %. The number of sufficiently large droplets decreases in comparison with a typical two‐component coal‐water fuel. The calorific value of alcohol‐coal‐water slurries rises when the third liquid fuel component is introduced into the composition of coal‐water fuel.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Spraying Characteristics of Alcohol‐Coal‐Water Slurries with Low Coal Content

et al. 2022

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“…In this case, the highest droplet velocity values are found directly in the center of the jet (along the axial coordinate). Jet expansion and aerodynamic resistance [49], coagulation of droplets [50], and their rotation and destruction [28] cause changes, such as decreased velocities of liquid droplets along the axial coordinate during spraying. In this case, the trajectory of motion of the liquid hydrocarbon droplets in the jet changes, thus increasing the diameter of the sprayed fuel jet.…”

Section: Spraymentioning

confidence: 99%

Steam Pyrolysis of Oil Sludge for Energy-Valuable Products

et al. 2022

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Experimental studies of the steam pyrolysis of oil sludge were performed using a flow-type pilot plant with 300 kg/h capacity (raw material) to obtain energy-valuable products, such as liquid hydrocarbons (30.4 wt%), semi-coke (39.6 wt%), non-condensable gas-phase compounds (26.5 wt%), and bitumen (3.5 wt%). The pyrolysis process was conducted at a temperature of 650 ° C and with a steam flow rate of 150 kg/h. Liquid hydrocarbons were considered a target product. Comprehensive studies of their physicochemical characteristics, atomization process, droplet ignition, and combustion were carried out. The studied sample had physicochemical characteristics similar to traditional fuel oil (calorific value—42.6 MJ/kg, sulfur content—0.8 wt%). The jet spraying angle was 25° in view of the improved rheological properties of the test sample, with a homogeneous jet structure and a predominant droplet diameter of no more than 0.4 mm. The flame combustion process was accompanied by the formation of microexplosions, the frequency and intensity of which depended on the temperature of the air (Tg = 450–700 °C). This study, in view of its applied nature, is of interest in the design of new installations and technological systems for hydrocarbon pyrolysis.

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“…High density ratio accelerates the deformation and distortion of droplets. A higher fluid density yields poor atomization performance at the end [54]. The density of fuel decreases with increasing temperature under supercritical pressure so the fluid in the supercritical state can greatly promote the mixing of fuel and air.…”

Section: Density Predictionmentioning

confidence: 99%

Supercritical thermophysical properties prediction of multi-component hydrocarbon fuels based on artificial neural network models

Ming

Liu

Wang

et al. 2021

Sci. China Technol. Sci.

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A good understanding of the thermophysical properties of hydrocarbon fuels at supercritical pressure is important to research on experiment and numerical simulation of fuel supercritical spray. Experimental measurements are difficult to conduct directly because of the extremely high pressure and high temperature. In this study, back propagation (BP) neural network, BP optimized by mind evolution algorithm (MEA-BP) and BP neural network optimized by genetic algorithm (GA-BP) are established to determine the nonlinear temperature-dependent thermophysical properties of density, viscosity, and isobaric specific heat (C p ) of hydrocarbon fuels at supercritical pressure. Meanwhile, approximate formulas for these properties prediction are primarily proposed using polynomial fitting. In this paper, models that can predict three types of physical properties of three kinds of hydrocarbon fuels and their mixtures in a wide temperature range under supercritical pressure are established. In the prediction of density and C p , BP neural network has a good prediction effect. The results show that the MAPE is lower than 2% in the prediction of density and C p , but the MAPE of viscosity prediction is slightly higher than 5% using BP. Furthermore, MEA and GA are used to optimize the prediction of viscosity. The optimization effect and computation of the MEA is better than that of GA because MEA does not have the local optimization and prematurity problems. The present work offers an efficient tool to predict the thermophysical properties of hydrocarbon fuels over a wide range of temperatures under supercritical pressure which can be easily extended to other fuels of interest. It will be beneficial to the experiment and numerical simulation studies of supercritical sprays.

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Effects of the physical properties of fuel on spray characteristics from a gas turbine nozzle

Cited by 33 publications

References 21 publications

Spraying Characteristics of Alcohol‐Coal‐Water Slurries with Low Coal Content

Spraying Characteristics of Alcohol‐Coal‐Water Slurries with Low Coal Content

Steam Pyrolysis of Oil Sludge for Energy-Valuable Products

Supercritical thermophysical properties prediction of multi-component hydrocarbon fuels based on artificial neural network models

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