Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities

Pritthi Chattopadhyay, Sudeepta Mondal, Asok Ray, Achintya Mukhopadhyay

    Research output: Contribution to journalArticle

    Abstract

    A critical issue in design and operation of combustors in gas turbine engines is mitigation of thermoacoustic instabilities, because such instabilities may cause severe damage to the mechanical structure of the combustor. Hence, it is important to quantitatively assimilate the knowledge of the system conditions that would potentially lead to these instabilities. This technical brief proposes a dynamic data-driven technique for design of combustion systems by taking stability of pressure oscillations into consideration. Given appropriate experimental data at selected operating conditions, the proposed design methodology determines a mapping from a set of operating conditions to a set of quantified stability conditions for pressure oscillations. This mapping is then used as an extrapolation tool for predicting the system stability for other conditions for which experiments have not been conducted. Salient properties of the proposed design methodology are: (1) It is dynamic in the sense that no fixed model structure needs to be assumed, and a suboptimal model (under specified user-selected constraints) is identified for each operating condition. An information-theoretic measure is then used for performance comparison among different models of varying structures and/or parameters and (2) It quantifies a (statistical) confidence level in the estimate of system stability for an unobserved operating condition by using a Bayesian nonparametric technique. The proposed design methodology has been validated with experimental data of pressure time-series, acquired from a laboratory-scale lean-premixed swirl-stabilized combustor.

    Original languageEnglish (US)
    Article number014501
    JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
    Volume141
    Issue number1
    DOIs
    StatePublished - Jan 1 2019

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    Thermoacoustics
    combustion chambers
    Combustors
    System stability
    pressure oscillations
    systems stability
    methodology
    Model structures
    Extrapolation
    gas turbine engines
    Gas turbines
    Time series
    Turbines
    extrapolation
    confidence
    damage
    causes
    Experiments
    estimates

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Information Systems
    • Instrumentation
    • Mechanical Engineering
    • Computer Science Applications

    Cite this

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    title = "Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities",
    abstract = "A critical issue in design and operation of combustors in gas turbine engines is mitigation of thermoacoustic instabilities, because such instabilities may cause severe damage to the mechanical structure of the combustor. Hence, it is important to quantitatively assimilate the knowledge of the system conditions that would potentially lead to these instabilities. This technical brief proposes a dynamic data-driven technique for design of combustion systems by taking stability of pressure oscillations into consideration. Given appropriate experimental data at selected operating conditions, the proposed design methodology determines a mapping from a set of operating conditions to a set of quantified stability conditions for pressure oscillations. This mapping is then used as an extrapolation tool for predicting the system stability for other conditions for which experiments have not been conducted. Salient properties of the proposed design methodology are: (1) It is dynamic in the sense that no fixed model structure needs to be assumed, and a suboptimal model (under specified user-selected constraints) is identified for each operating condition. An information-theoretic measure is then used for performance comparison among different models of varying structures and/or parameters and (2) It quantifies a (statistical) confidence level in the estimate of system stability for an unobserved operating condition by using a Bayesian nonparametric technique. The proposed design methodology has been validated with experimental data of pressure time-series, acquired from a laboratory-scale lean-premixed swirl-stabilized combustor.",
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    Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities. / Chattopadhyay, Pritthi; Mondal, Sudeepta; Ray, Asok; Mukhopadhyay, Achintya.

    In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 141, No. 1, 014501, 01.01.2019.

    Research output: Contribution to journalArticle

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