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    Uncertainty Quantification of NOx Emission Due to Operating Conditions and Chemical Kinetic Parameters in a Premixed Burner 

    Source: Journal of Engineering for Gas Turbines and Power:;2018:;volume( 140 ):;issue: 012:;page 121005
    Author(s): Yousefian, Sajjad; Bourque, Gilles; Monaghan, Rory F. D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Many sources of uncertainty exist when emissions are modeled for a gas turbine combustion system. They originate from uncertain inputs, boundary conditions, calibration, or lack of sufficient fidelity in a model. In this ...
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    An Optimized Correlation for Turbulent Flame Speed for C1–C3 Fuels at Engine-Relevant Conditions 

    Source: Journal of Engineering for Gas Turbines and Power:;2020:;volume( 142 ):;issue: 011:;page 0111001-1
    Author(s): Yousefian, Sajjad; Burke, Eoin M.; Güthe, Felix; Monaghan, Rory F. D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The aim of this work is to examine the state-of-the-art turbulent flame speed (ST) correlations and optimize their adjustable parameters to best match a wide range experimental turbulent premixed combustion results. Based ...
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    A Stochastic and Bayesian Inference Toolchain for Uncertainty and Risk Quantification of Rare Autoignition Events in Dry LowEmission Premixers 

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 011:;page 111015
    Author(s): Yousefian, Sajjad;Jella, Sandeep;Versailles, Philippe;Bourque, Gilles;Monaghan, Rory F. D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Quantification of aleatoric uncertainties due to the inherent variabilities in operating conditions and fuel composition is essential for designing and improving premixers in dry lowemissions (DLE) combustion systems. ...
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    Quantification of Autoignition Risk in Aeroderivative Gas Turbine Premixers Using Incompletely Stirred Reactor and Surrogate Modeling 

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 012:;page 121006
    Author(s): Iavarone, Salvatore;Gkantonas, Savvas;Jella, Sandeep;Versailles, Philippe;Yousefian, Sajjad;Monaghan, Rory F. D.;Mastorakos, Epaminondas;Bourque, Gilles
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The design and operation of premixers for gas turbines must deal with the possibility of relatively rare events causing dangerous autoignition (AI). Rare AI events may occur in the presence of fluctuations of operational ...
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