Predictive Modelling of Cooled Gas Turbine Operating Parameters: RSM based Multi-Objective Optimisation
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Abstract
An analysis of gas turbine cycle has been carried out for predicting optimum operating parameters using Response Surface Methodology (RSM) is a multi-objective optimisation technique. In addition to energy and exergy, analysis of the cycle has also been carried out. The results obtained from present study shows that gas turbine specific is found to have its best values (>370 kJ/kg) at compressor pressure ratio ~19. Thermal and rational efficiency have been found to have its highest values (>37%) at lower value of ambient temperature and compressor pressure ratio ~22-24. A main effect plot has also been plotted to find the difference between different coded levels to carry out optimisation analysis and shows that optimum individual values of different input operating parameters for thermal and rational efficiencies be TIT=1500 K, rp=24, AT=288K and RH=50%. The results from optimisation analysis reveals that optimum values of different output parameters Mass of Coolant (MoC), Compressor Work (Wc), Mass of Fuel (MoF), Gas Turbine Work Output (Wgt), Thermal Efficiency (TE) and Rational Efficiency (RE) are 0.0496kg/kg of air, 409.11kJ/kg, 0.02136kg/kg of air, 346.83kJ/kg, 38.53% and 37.33% respectively for corresponding input values of turbine-inlet-temperature, compressor-pressure-ratio, ambient-temperature and relative-humidity to be 1424.2424K, 18.1010, 288 K and 50.0% respectively.
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