Modeling of a Combined Cycle Gas Turbine (CCGT) Using an Adaptive Neuro-Fuzzy System

The multiple advantages of the combined power cycles make their improvement a priority. The modeling of a Combined Cycle Gas Turbine (CCGT) for the identification/recognition of operating variables that can provide an increase in efficiency is a challenge in this type of thermal system. The simulati...

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Veröffentlicht in:	Thermal engineering 2022-09, Vol.69 (9), p.662-673
Hauptverfasser:	Rodríguez, M. B. R., Rodríguez, J. L. M., Fontes, C. de H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive systems Artificial neural networks Combined-Cycle Power Plants and Their Auxiliary Equipment Compression ratio Efficiency Engineering Engineering Thermodynamics Fuzzy logic Gas turbines Gas-Turbine Heat and Mass Transfer Heating Modelling Parametric analysis Pressure ratio Steam turbines Steam-Turbine Thermal simulation Thermodynamic efficiency
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