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Theoretical predictions of thermo-chemical performances and pollutant emissions of heavy-duty gas turbine combustors by means of extended-parametrization modeling

Pubblicazione


Autore: M. Fattori, F. Pittaluga, F. Beltrami, A. Torelli

Collana: AA - 1996 Genova - Turbomacchine '96

Note:
The complete termochemical and emissional performance fields of gas turbine combustors for stationary power generation plants are interpreted and predicted through estended parametric use of correlative modelization. The study is justified in the light of the two major objectives herewith sought and discussed in detail: namely, the setting-up of a wide-application "self complemented" analytical means suitable to help discerning the parametric dependences of combustor performances upon the most relevant design and operational variables; at the same time, the provision of a "full coverage" set detailed correlations, capable to yeld efficient numerical assessments of combustor performances, to be insderted into an overall gas-turbine-plant dynamical simulation program for system behaviour prediction. The correlations' selections andcase-specific calibrations are discussed in detail, justifing the selective choice for some schemes instead of others, but without discarding the opportunity, where applicable, of cross-comparing the predictive capacities of different correlation schemes for the same combustor operative situation. Premixed flame regimes for gaseous hydrocarbon fuels, and diffusion-flame regimes for either gas or liquid hydrocarbons are considered and modeled; the case of steam or water injection is properly taken into account; all operational situations are studied for varying-parameter conditions and, though no direct esperimental comparisons are given, general respondance with field data is verified. It must be added that the whole study is here addressed toward the detailed performance assessment of the combustor as a plant component, leaving to the other studies the discussion of the over-all plant-system dynamic behaviour analysis.

Pagine: 12.




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