Regeneration equations for the Rankine cycle with super-heated steam

Abstract

Abstract The paper presents a mathematical model to calculate the thermal efficiency of the steam turbines with superheating, methodology forecasting for the Rankin cycle with superheated steam using Regression equations, MathCad, SPSS, and Statistatica programs. The resulting regression equation is applied to calculate the indicator values in a given range of variation of parameters, and it is also limitedly suitable for calculation outside this range. A MathCad-based approach for calculating the predictive model was created and presented. This work presents the formulation of a problem for the method of experiment planning. A turbine unit with three input parameters that influence the value of the output parameter Y (the thermal efficiency of the Steam turbine unit) was studied through the method of experiment planning. Along with that, the first parameter (initial pressure turbine, bar) varied within: 100< x1 <128; the second parameter (the turbine-inlet temperature, °C) varied within: 450 < X2 < 550; the third parameter (the fraction of dryness) varied within: 0.79 < X3 < 0.83.