Over the years, an increasing number of works have studied theoptimization of radial inflow turbine design. Applying ComputationalFluid Dynamics (CFD) to performance prediction, internal flow analysisand structural design of radial inflow turbine has already become a crucial research method and an available verification for the one-dimensionalmodel. However, only a few past studies have focusedon the CFD simulations of radial inflow turbine in organic Rankinecycles. According to a conclusion drawn by Xia et al., the threedimensionCFD results are in correspondence with the one-dimensionalanalysis, and the addition of splitter blade contributes to improving theperformance of ORC radial inflow turbine. For the design of aerodynamicdistribution, Zheng et al. proposed a preliminary designand an evaluation method that combined the design of radial inflowturbine with the predicted variable operating conditions, and used thenumerical simulation results and experimental data to verify it. Fiaschiet al. made a three-dimensional analysis of the rotor with thegeometry inputs calculated from one-dimensional design for a 5 kWORCradial-inflow turbine operating with R134a. The number and thegeometry of the rotor blades were further refined by CFD approach. Liet al. developed an aerodynamic and profile design system, inwhich a radial inflow turbine with R123 as the working fluid was designedand the numerical analysis was conducted. The simulation resultsindicated that the shock wave caused by the high expansion ratioin the nozzle was well controlled. With regard to identical designconditions, Kim et al. proposed a novel method to design ORCradial-inflow turbine. The performance of a designed turbine was thenevaluated by three-dimensional analysis using CFD. And the comparisonbetween results of the one-dimensional design and CFD simulationwas conducted.About the structure optimization of the turbine, Ssebabi et al.connected the turbo expander to the generator with a magnetic couplerto achieve non-contact transmission and tested the performance of expanderwith air as the working fluid. The optimization of the rotorblade was carried out in consideration of parameters such as thenumber of rotor blades and the angle of the outlet airflow. In the studyof nozzle blades, Razaaly et al. adopted a two-dimensional highprecisionturbulent computational fluid dynamics model and made theuncertainty measurement analysis of typical supersonic nozzle blades inORC applications. In the analysis process, Kriging-based techniqueswere adopted. In the study of the loss model, Wu et al. combinedthe preliminary design of the heat loss model with three-dimensionalnumerical simulation to optimize. A genetic algorithm based on turbinegeometry optimization was designed, and the optimized specific speedand blade shape could increase the power output by 3.6%.