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.

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

Fingerprint

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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