Polydispersed droplet spectrum and exergy analysis in wet steam flows using method of moments

Abstract In steam turbine flow, the complex droplet spectrum caused by nonequilibrium condensation is necessary to be modeled accurately predict behavior and estimate exergy destruction erosion rate. This study built validated a polydispersed model with Quadrature method of moments (QMOM), consisting transition SST model, entropy generation. A spline-based algorithm was used reconstruct shape probability density function (PDF) radius. It’s proved that has better prediction result for Sauter radius compare monodispersed model. Then, distributions spectra in nozzle effects asymmetric lambda shock evaporation were investigated. The closer gamma distribution nucleation zone log-normal growth when outflow supersonic. turbine, because oblique induces secondary condensation, reconstructed distribution. Finally, obtained maximum 25.293 kJ/kg. rate increases from 1.04% 4.45%. range Baumann factor 0.574–1.312. Besides, only 58.4–64.3% this can energy loss systems more accurately.