The design and performance of a RP-3 fueled high temperature rise combustor based on RQL staged combustion

Li, Jianzhong; Chen, Jian; Wu, Jin; Li, Yuan; Hu, Ge

doi:10.1016/j.energy.2020.118480

“…An Nd: YAG double-pulse laser with a laser wavelength of 532 nm, maximum single-pulse energy of 200 mJ, and a maximum operating frequency of 15 Hz was used. A MicroPulse 725 synchronous controller was used to control the camera, the laser, and the image capturing board [30]. The PIV measurement parameters in the reacting cases were made to be as similar as possible to the nonreacting cases.…”

Section: Methodsmentioning

confidence: 99%

Experimental Investigation on Flow Characteristics of a Reverse-Flow Combustor

Hu

¹

,

Li

²

,

Wu

³

et al. 2022

International Journal of Aerospace Engineering

2

0

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Reverse-flow combustor is widely used for small engines to overcome high speed shaft whirling problem and to provide a low frontal area. An experimental investigation was carried out to research the flow field characteristics of a reverse-flow combustor in this paper. Different aerodynamic conditions were studied using PIV to reveal the characteristics of both the nonreacting and reacting flow fields. The structure of the nonreacting flow field in the central section shows similarity as the total pressure loss coefficient increases. The penetrating depth, jet angle, recirculation zone position, and the flow streamlines are similar, while the velocity value of the flow field increases. The structure of the reacting flow field on the central section is different from that of nonreacting flow field, but the variation trend of the reacting flow field under different pressure loss coefficient is similar to that of the nonreacting flow field. By examining the nonreacting and reacting flow fields under the same total pressure loss conditions, marked differences were observed in the primary zone close to the swirler outlet. The relative motion between fuel injection, airflow, and combustion affects the flow field in this zone. The velocity with combustion is faster than that of the nonreacting flow because of the increased temperature and heat release.

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“…An Nd:YAG double-pulse laser with a laser wavelength of 532 nm, maximum single-pulse energy of 200 mJ, and a maximum operating frequency of 15 Hz was used. A MicroPulse 725 synchronous controller was used to control the camera, the laser, and the image capturing board [31]. The essence of PIV measurement is to characterize the flow structure by acquiring the flow characteristics of the tracer particles.…”

Section: Combustor Model and Experiments Systemmentioning

confidence: 99%

“…The averaged image represents a stable combustion image under the corresponding operating conditions. Finally, the image boundary was extracted by taking pseudo-color processing and OSTU algorithm [31], as shown in Figure 9.…”

Section: 3mentioning

confidence: 99%

Experimental Investigation on Flame Chemiluminescence and Flow Characteristics of a Reverse-Flow Combustor

Hu

¹

,

Li

²

,

Wu

³

et al. 2022

International Journal of Aerospace Engineering

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0

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The reverse-flow combustor is extensively applied in small engines due to its compact structure. The cold-state flow characteristics, the ignition process, and flame chemiluminescence characteristics of the reserve-flow combustor were investigated experimentally. Using the particle imaging velocimeter, the cold-state time-averaged flow fields at three different total pressure loss coefficients ζ B are examined. The ignition processes of the combustor, as well as flame characteristics during stable combustion at different equivalent ratios φ , are analyzed based on flame chemiluminescence imaging when ζ B is 3%. As ζ B increases from 1% to 5%, the flow field of the combustor remains almost unchanged while the flow velocity increases. For ζ B =3%, the ignition time T drops from 26 ms to 16 ms with an increase of φ . In addition, the ignition performance is enhanced. Proportions of the T2 phase (quasi-stable phase) are 73%, 68%, and 66%, respectively, suggesting that the quasi-stable phase is the key to successful ignition. As φ increases, the flame becomes thinner and shorter. Furthermore, standard deviations of continuous image areas of CH ∗ and OH ∗ drop from 0.0143 and 0.0132 to 0.0115 and 0.0109, respectively, which indicates the enhancement of combustion stability. According to the brightness distributions of CH ∗ and OH ∗ along the axial direction of the combustor at different equivalent ratios, the production of OH ∗ is significantly affected by the temperature. It can be adopted as an important sign of heat release during combustion.

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“…NOx production in a gas turbine combustor is influenced by various parameters, including jet momentum flux [ 17 ], combustion equivalence ratio [ 18 ], flame temperature [ 19 ], total pressure loss [ 20 ], high-temperature zone residence time [ 21 ], airflow velocity [ 22 ], fuel composition [ 23 ], fuel–air mixture homogeneity [ 24 ], etc. Due to the numerous factors that influence NOx production, researchers have conducted a considerable number of experimental tests on the RQL combustor.…”

Section: Introductionmentioning

confidence: 99%

Predicting NOx Distribution in a Micro Rich–Quench–Lean Combustor Using a Variational Autoencoder

Yan

¹

,

Fan

²

,

Zhang

³

2023

Entropy

0

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Micro gas turbines are widely used in distributed power generation systems. However, the combustion of gas turbine combustors produces a large amount of nitrogen oxides (NOx), which pollute the environment and endanger human life. To reduce environmental pollution, low-emission combustors have been developed. In recent years, there has been an increasing focus on the use of low-heat-value gas fuels, and it is necessary to study the NOx emissions from low heat value gas fuel combustors. Data-driven deep learning methods have been used in many fields in recent years. In this study, a variational autoencoder was introduced for the prediction of NOx production inside the combustor. The combustor used was a micro rich–quench–lean combustor designed by the research group using coal bed gas as a fuel. The internal NO distribution contour was obtained as the dataset using simulation methods, with a size of 60 images. The model architecture parameters were obtained through hyperparameter exploration using the grid search method. The model accurately predicted the distribution of NO inside the combustor. The method can be applied in the prediction of a wider range of parameters and offers a new way of designing combustors for the power industry.

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The design and performance of a RP-3 fueled high temperature rise combustor based on RQL staged combustion

Cited by 17 publications

References 16 publications

Experimental Investigation on Flow Characteristics of a Reverse-Flow Combustor

Experimental Investigation on Flow Characteristics of a Reverse-Flow Combustor

Experimental Investigation on Flame Chemiluminescence and Flow Characteristics of a Reverse-Flow Combustor

Predicting NOx Distribution in a Micro Rich–Quench–Lean Combustor Using a Variational Autoencoder

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