Optimization of the surface heating for a stationary cascade turbine blade in wet steam flow

The purpose of this study is to obtain the optimal surface heating for a stationary cascade turbine blade in wet steam flow by a genetic algorithm. The numerical method is conducted by employing two-dimensional Navier-Stokes equations coupled with a SSTk -omega turbulence model. Nucleation and droplet growth equations are solved using the Eulerian-Eulerian approach. The numerical results show good agreement with well -established experiments. Nozzle efficiency (NE), integral of local entropy changes at the outlet (ILE), mean wetness at the outlet (MWO), mean momentum at the outlet (MMO), and cost price (CP) are objective functions. The ultimate purpose is to minimize the (ILE), (MWO), and (CP) and maximize the (NE) and (MMO) together. Since higher surface heating rates decrease MWO and MMO, while increasing ILE, CP, and NE based on opti-mization results, there is an optimum for the surface heating rate to gain the best performance of steam turbines. According to the numerical results, the optimum - is equal to 0.04467 (cm2kW). In the optimal case compared to the non-heat case, NE and MWO are improved 0.26% and 19.94%, respectively. In addition, the ILE and MMO are degraded 0.9%, 0.32%, respectively, and CP is estimated 0.0027 ($ cm2.h).

Automated summary

The goal of this study is to find the optimal surface heating technique for a stationary cascade turbine blade in wet steam flow using a genetic algorithm. The research utilizes a numerical method that combines the two-dimensional Navier-Stokes equations with a SSTk-omega turbulence model, and solves nucleation and droplet growth equations using the Eulerian-Eulerian approach. The results show good agreement with established experiments, and it is found that there is an optimum surface heating rate to achieve the best performance of steam turbines.