An Overview of Methodologies to Predict Lean Blowout Limits for Gas Turbine Combustors

Sun, Lingyu; Huang, Yong

doi:10.1109/ibcast.2019.8667224

Cited by 5 publications

(2 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various prediction techniques have been developed to prevent LBO events. The early detection of LBO is generally predicted using three methods, which are semi-empirical models, numerical simulation, and hybrid models [99].…”

Section: Prediction Techniques Of Lean Blowoutmentioning

confidence: 99%

“…The CT model considered the LBO would occur when the residence time is lesser than the total evaporating time and chemical reaction time as implemented by Plee and Mellor in [100]. Meanwhile, the PSR model considered the LBO would occur when the heat release rate is less than the heat loss rate [99]. One of the most used PSR models is developed by Lefebvre [101,102], improving Longwell's PSR model for swirl-stabilized combustors.…”

Section: Prediction Techniques Of Lean Blowoutmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2022

View full text Add to dashboard Cite

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.

show abstract

Section: Prediction Techniques Of Lean Blowoutmentioning

confidence: 99%