Abstract
Here we propose a generalized procedure for a two-parameter assessment of the Combustion stability (CS) of industrial gas turbines. In evaluating the CS, this procedure employs two parameters of measured dynamic pressure data: the Root-mean-square (RMS) pressure as the primary parameter and the damping ratio as a secondary parameter. The former tells the time-averaged level of the dynamic pressure, and, the latter, the degree of acoustic energy loss. A data point pairing the two parameters, which are evaluated at a specific instance of a combustion process, identifies Instantaneous combustion stability (ICS) by its location on a 2-D domain of both parameters. Collective representation of the ICS points on the domain produces a CS map of the combustion process. The locus of the ICS point on the map represents the temporal variation of CS during the combustion process. The biparametric assessment procedure divides the CS map into three regimes (i.e., stable, transitional and unstable) by utilizing two threshold values for the RMS pressure and one for the damping ratio. The feasibility of the proposed procedure was tested with the dynamic pressure data from a model gas turbine combustor burning synthetic natural gas. Then the technique was applied experimental data obtained from a laboratory-scale lean premixed combustor to identify the three regimes of the combustion process of a reported case. We found that the procedure is able to provide gas turbine operators with valuable information on CS during a combustion process, especially on the transitional regime.
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Recommended by Associate Editor Jeong Park
Won Joon Song received his B.S. and M.S. degrees from Hanyang University, Seoul, Korea, in 1995 and 1997, respectively. He received his Ph.D. in ME from University of Cincinnati, OH, USA in 2010. He worked at BOSCH, Sejong, Korea from 1997 to 2003 as an R&D engineer. He served as a researcher at KIMM, Daejeon, Korea from 2010 to 2011. He is currently a research scholar at IFTP in Hanbat National University, Daejeon, Korea. His research interests include auditory modeling, signal processing for artificial cochlea, hearing loss assessment, online monitoring of combustion stability, and image processing of combustion flame.
Dong Jin Cha received his B.S. and M.S. degrees from Hanyang University in Seoul, Korea, in 1981 and 1983, respectively. He then received his Ph.D. degree in ME from the University of Illinois at Chicago in 1993, and worked at the US DOE NETL for the next three years as a National Research Council (NRC) Associate. Dr. Cha is currently a Professor at the Department of Building and Plant Engineering at Hanbat National University in Daejeon, Korea. His research interests include combustion instability of gas turbine for power generation and fluid flows in building services engineering.
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Song, W.J., Cha, DJ. Biparametric assessment of the combustion stability in an industrial gas turbine combustor. J Mech Sci Technol 30, 879–887 (2016). https://doi.org/10.1007/s12206-016-0142-5
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DOI: https://doi.org/10.1007/s12206-016-0142-5