A Hybrid Semi-empirical Model for Lean Blow-Out Limit Predictions of Aero-engine Combustors

Hu, Bin; Huang, Yong; Xu, Jinliang

doi:10.1115/1.4028394

Cited by 23 publications

(5 citation statements)

References 33 publications

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“…Lefebvre's model was recently further developed. Hu et al and Xie et al [31][32][33][34] related lean blowout to the volume of the flame instead of the volume of the combustor and Ateshkadi et al 35 took the nozzle hardware into consideration and modified the temperature dependence term. 26 Characteristics timescales were used by Plee and Mellor 36 to describe lean blowout of bluff-body stabilised spray flames.…”

Section: Lean Blowout and Fuel Influencementioning

confidence: 99%

Investigation of differences in lean blowout of liquid single-component fuels in a gas turbine model combustor

Grohmann¹,

Rauch²,

Kathrotia³

et al. 2016

52nd AIAA/SAE/ASEE Joint Propulsion Conference

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The influence of selected single-component hydrocarbons on lean blowout behaviour of swirl-stabilised spray flames was investigated. Additional information on the spray characteristics was collected by Phase Doppler Anemometry (PDA) and Mie scattering measurements. The measurements were accomplished in a gas turbine model combustor under atmospheric pressure and at two different air preheat temperatures. The combustor featured a dual-swirl geometry and a prefilming airblast atomiser. The combustion chamber provided good optical access and yielded well-defined boundary conditions. Three singlecomponent hydrocarbons were chosen: one short and one long linear alkane (n-hexane and n-dodecane) and one branched alkane (iso-octane). Kerosene Jet A-1 was used as a technical reference. Results show noticeable differences in the lean blowout limits of the various fuels, at comparable flow conditions. By using the results of the measurements, of additional modelling and of an assessment of the fuel properties it was concluded that fuel differences in lean blowout in this combustor can be due to differences in the physical properties as well as in the chemical properties.

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Section: Lean Blowout and Fuel Influencementioning

confidence: 99%

Investigation of differences in lean blowout of liquid single-component fuels in a gas turbine model combustor

Grohmann¹,

Rauch²,

Kathrotia³

et al. 2016

52nd AIAA/SAE/ASEE Joint Propulsion Conference

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show abstract

“…The basis of the CT and PSR models lies in energy balance and time balance, respectively. Hu later challenged the previous method in [104] by proposing the hybrid empirical method for prediction instead of just analysis. Yi also proposed the other method for LBO prediction.…”

Section: Prediction Techniques Of Lean Blowoutmentioning

confidence: 99%

Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

et al. 2022

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Dry-low emission (DLE) is one of the cleanest combustion types used in a gas turbine. DLE gas turbines have become popular due to their ability to reduce emissions by operating in lean-burn operation. However, this technology leads to challenges that sometimes interrupt regular operations. Therefore, this paper extensively reviews the development of the DLE gas turbine and its challenges. Numerous online publications from various databases, including IEEE Xplore, Scopus, and Web of Science, are compiled to describe the evolution of gas turbine technology based on emissions, fuel flexibility, and drawbacks. Various gas turbine models, including physical and black box models, are further discussed in detail. Working principles, fuel staging mechanisms, and advantages of DLE gas turbines followed by common faults that lead to gas turbine tripping are specifically discussed. A detailed evaluation of lean blow-out (LBO) as the major fault is subsequently highlighted, followed by the current methods in LBO prediction. The literature confirms that the DLE gas turbine has the most profitable features against other clean combustion methods. Simulation using Rowen’s model significantly imitates the actual behavior of the DLE gas turbine that can be used to develop a control strategy to maintain combustion stability. Lastly, the data-driven LBO prediction method helps minimize the flame’s probability of a blow-out.

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“…A systematic work about the model validation has been conducted by the authors [35] and is no longer discussed here.…”

Section: A Turbulence and Combustion Modelsmentioning

confidence: 99%

Predicting Lean Blowout Limit of Combustors Based on Semi-Empirical Correlation and Simulation

Zhao

2016

Journal of Propulsion and Power

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A method named characteristic curve of flame volume is achieved for lean blowout predictions on the basis of the improved Lefebvre's model and simulated reacting flows. Three main issues are presented: 1) Based on the results from combustion visualization experiments, Lefebvre's model is improved regarding its universality for combustor configurations. The flame volume near lean blowout V flame;LBO obtained from simulated reacting flow is introduced into the model. 2) Characteristic curve of flame volume is a functional curve of flame volume V flame and fuel/air ratio q in a certain combustor and is presented as an "S" pattern, with q ranging from stable operation to nearly engine-off conditions. The region where the fuel/air ratio ranges from 3 to 10 in characteristic curve of flame volume is the unstable combustion region, and nearly all of the lean blowout points fall in this region. 3) According to the relationship between characteristic curve of flame volume expressed as q fV flame and the improved Lefebvre's model expressed as q LBO f m V flame;LBO , a method named characteristic curve of flame volume is proposed for lean blowout predictions. By the comparison with experimental data on 26 combustors, the lean blowout fuel/air ratios obtained by the characteristic curve of flame volume method fit well with that obtained by experiments, having maximum and average errors of 24.2 and 7.0% between predictions and measurements.

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A Hybrid Semi-empirical Model for Lean Blow-Out Limit Predictions of Aero-engine Combustors

Cited by 23 publications

References 33 publications

Investigation of differences in lean blowout of liquid single-component fuels in a gas turbine model combustor

Investigation of differences in lean blowout of liquid single-component fuels in a gas turbine model combustor

Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

Predicting Lean Blowout Limit of Combustors Based on Semi-Empirical Correlation and Simulation

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