Method for mean-line design and performance prediction of one-stage axial turbines

Today, expanders for Organic Rankine Cycles (ORC) are either inefficient or expensive. One reason this is that of power conversion systems usually operate under different conditions over an annual perspective. Still, they designed to perform best at a single operating point. In view limitation, it suggested the overall expander performance can be improved by taking into account off-design operation in design process. As first step direction, paper presents two-fold method optimization and analysis one-stage axial turbines. The utilizes same mean-line model optimization, ensuring consistency between two modes. addition, proposed evaluates turbine three stations each blade row: inlet, throat exit, employs novel numerical treatment flow choking automatically determines which rows choked as part solution. Furthermore, was validated against cold-air experimental data from turbines, both on- conditions. predicts point efficiencies 1.1 4.5 percentage points off values. also able capture trend mass rate function total-to-static pressure ratio angular speed. However, unphysical behavior observed approaches critical value, further developments required. It envisioned will serve foundation robust methodology enable higher range