Abstract

This study evaluates the thermodynamic performance of a steam generator to improve operational efficiency. A detailed analysis of the Rankine cycle revealed key parameters, including heat addition, heat rejection, and mechanical work output. The turbine expansion process produced 997.13kJ/kg of mechanical work, resulting in a boiler thermal efficiency of 83.11% and a net power output of 27320.8kW. Regression and reliability models were developed to predict performance under various conditions. The regression model showed that increasing the turbine inlet temperature from 450oC to 550oC improved cycle efficiency from 80.4% to 83.5% and power output from 2680Kw to 2800Kw. Optimal operating conditions were established at a turbine inlet temperature of 500oC, achieving efficiency of 83.45% and a power output of 28030.33kW. The system’s reliability was calculated to be of 86.26%, supporting its long-term viability. The study highlights the importance of predictive modeling in minimizing downtime and maximizing energy.