Sensitivity analysis and uncertainty propagation in numerical simulations of yield sooting tendencies

Yuan Xuan, K. Mohhan, A. Jain, H. Kwon

    Research output: Contribution to conferencePaper

    Abstract

    The sooting tendencies of various fuels have been historically quantified via the Threshold Sooting Index (TSI), which is based on spoke point measurement. More recently, a Yield-based Sooting Index (YSI) has been proposed with lower measurement uncertainties, high throughput, and applicability to low-volatility fuels. YSI of a test species is experimentally measured in an atmospheric-pressure, laminar, non-premixed co-flow methane/air flame generated with a Yale Co-flow Burner by doping the baseline methane flame with a small concentration of the test species. The YSI concept interfaces well with computations since it is a perturbationbased approach with nearly identical temperature and velocity fields in the YSI flames compared to those in the undoped methane/air flame. In this work, we use a flamelet-based model to computationally simulate the YSI of fuels relevant to diesel and gasoline combustion. The numerically predicted YSI values are compared against experimental measurements. For fuels with large discrepancies in their simulated YSI, sensitivity analysis is performed to highlight deficiencies in the chemical reaction pathways. Numerical uncertainties are then introduced in the rate constants of these reactions and propagated through YSI simulations to quantify the impact of these reactions on the YSI predictions.

    Original languageEnglish (US)
    StatePublished - Jan 1 2018
    Event2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018 - State College, United States
    Duration: Mar 4 2018Mar 7 2018

    Other

    Other2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018
    CountryUnited States
    CityState College
    Period3/4/183/7/18

    Fingerprint

    sensitivity analysis
    Sensitivity analysis
    Methane
    tendencies
    propagation
    Computer simulation
    simulation
    flames
    Air
    Fuel burners
    methane
    Atmospheric pressure
    Gasoline
    Chemical reactions
    Rate constants
    Doping (additives)
    Throughput
    Uncertainty
    spokes
    gasoline

    All Science Journal Classification (ASJC) codes

    • Mechanical Engineering
    • Physical and Theoretical Chemistry
    • Chemical Engineering(all)

    Cite this

    Xuan, Y., Mohhan, K., Jain, A., & Kwon, H. (2018). Sensitivity analysis and uncertainty propagation in numerical simulations of yield sooting tendencies. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.
    Xuan, Yuan ; Mohhan, K. ; Jain, A. ; Kwon, H. / Sensitivity analysis and uncertainty propagation in numerical simulations of yield sooting tendencies. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.
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    abstract = "The sooting tendencies of various fuels have been historically quantified via the Threshold Sooting Index (TSI), which is based on spoke point measurement. More recently, a Yield-based Sooting Index (YSI) has been proposed with lower measurement uncertainties, high throughput, and applicability to low-volatility fuels. YSI of a test species is experimentally measured in an atmospheric-pressure, laminar, non-premixed co-flow methane/air flame generated with a Yale Co-flow Burner by doping the baseline methane flame with a small concentration of the test species. The YSI concept interfaces well with computations since it is a perturbationbased approach with nearly identical temperature and velocity fields in the YSI flames compared to those in the undoped methane/air flame. In this work, we use a flamelet-based model to computationally simulate the YSI of fuels relevant to diesel and gasoline combustion. The numerically predicted YSI values are compared against experimental measurements. For fuels with large discrepancies in their simulated YSI, sensitivity analysis is performed to highlight deficiencies in the chemical reaction pathways. Numerical uncertainties are then introduced in the rate constants of these reactions and propagated through YSI simulations to quantify the impact of these reactions on the YSI predictions.",
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    Xuan, Y, Mohhan, K, Jain, A & Kwon, H 2018, 'Sensitivity analysis and uncertainty propagation in numerical simulations of yield sooting tendencies', Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States, 3/4/18 - 3/7/18.

    Sensitivity analysis and uncertainty propagation in numerical simulations of yield sooting tendencies. / Xuan, Yuan; Mohhan, K.; Jain, A.; Kwon, H.

    2018. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.

    Research output: Contribution to conferencePaper

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    T1 - Sensitivity analysis and uncertainty propagation in numerical simulations of yield sooting tendencies

    AU - Xuan, Yuan

    AU - Mohhan, K.

    AU - Jain, A.

    AU - Kwon, H.

    PY - 2018/1/1

    Y1 - 2018/1/1

    N2 - The sooting tendencies of various fuels have been historically quantified via the Threshold Sooting Index (TSI), which is based on spoke point measurement. More recently, a Yield-based Sooting Index (YSI) has been proposed with lower measurement uncertainties, high throughput, and applicability to low-volatility fuels. YSI of a test species is experimentally measured in an atmospheric-pressure, laminar, non-premixed co-flow methane/air flame generated with a Yale Co-flow Burner by doping the baseline methane flame with a small concentration of the test species. The YSI concept interfaces well with computations since it is a perturbationbased approach with nearly identical temperature and velocity fields in the YSI flames compared to those in the undoped methane/air flame. In this work, we use a flamelet-based model to computationally simulate the YSI of fuels relevant to diesel and gasoline combustion. The numerically predicted YSI values are compared against experimental measurements. For fuels with large discrepancies in their simulated YSI, sensitivity analysis is performed to highlight deficiencies in the chemical reaction pathways. Numerical uncertainties are then introduced in the rate constants of these reactions and propagated through YSI simulations to quantify the impact of these reactions on the YSI predictions.

    AB - The sooting tendencies of various fuels have been historically quantified via the Threshold Sooting Index (TSI), which is based on spoke point measurement. More recently, a Yield-based Sooting Index (YSI) has been proposed with lower measurement uncertainties, high throughput, and applicability to low-volatility fuels. YSI of a test species is experimentally measured in an atmospheric-pressure, laminar, non-premixed co-flow methane/air flame generated with a Yale Co-flow Burner by doping the baseline methane flame with a small concentration of the test species. The YSI concept interfaces well with computations since it is a perturbationbased approach with nearly identical temperature and velocity fields in the YSI flames compared to those in the undoped methane/air flame. In this work, we use a flamelet-based model to computationally simulate the YSI of fuels relevant to diesel and gasoline combustion. The numerically predicted YSI values are compared against experimental measurements. For fuels with large discrepancies in their simulated YSI, sensitivity analysis is performed to highlight deficiencies in the chemical reaction pathways. Numerical uncertainties are then introduced in the rate constants of these reactions and propagated through YSI simulations to quantify the impact of these reactions on the YSI predictions.

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    Xuan Y, Mohhan K, Jain A, Kwon H. Sensitivity analysis and uncertainty propagation in numerical simulations of yield sooting tendencies. 2018. Paper presented at 2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018, State College, United States.