Aerodynamic optimization of a SCO₂ radial-inflow turbine based on an improved simulated annealing algorithm

Abstract

Supercritical carbon dioxide plays a vital role in the development of power generation applications. It owns the characteristics of high density and low viscosity, which can ensure a compact structure for turbomachinery. With the blossom of optimization algorithm, an interdisciplinary research which applies optimization method to a traditional design process of turbomachinery can accelerate the course and promote the validity by leaps and bounds. We improve the traditional simulated annealing algorithm and establish an optimization process containing the optimization of rotor meridian plane and nozzle profile. This process can effectively reduce the computation time by establishing a surrogate model of coarse mesh simulation. The effects of traditional simulated annealing algorithm (SAA), genetic algorithm (GA) and improve simulated annealing algorithm (ISAA) are compared. As a result, we realize a maximum of 4.94% promotion for isentropic efficiency in ISAA computation. Also, ISAA method saves the computation time by 59.6% compared to GA and by 41.5% compared to SAA. Applying ISAA optimization method to the turbine in a kW-scale solar-driven Brayton cycle power system, we realize a 1.17% increase for the system efficiency.

A review of research on turbines for supercritical carbon dioxide power systems

“…The tip clearance loss is the most significant loss for turbines with a output power of a few hundred kW, while the passage, stator and outlet kinetic losses account for a greater proportion for higher power turbines. Wang et al improved the simulated annealing algorithm (SAA) and established the optimization process of a kW scale S-CO2 turbine, including rotor meridian plane and nozzle profile optimization [68]. They achieved a maximum isentropic efficiency improvement of 4.94% in improved simulated annealing algorithm (ISAA) calculations.…”

Optimization of endwall profile for tail nozzle based on genetic algorithm

“…Yi et al 7 developed a solution program for 3D viscous flow field and a numerical optimization program using response surface method and simulated annealing algorithm, and then carried out numerical optimization design for transonic pressure maneuverable blades. Wang et al 8 improved the traditional simulated annealing algorithm to optimize the rotor meridian plane and endwall profile of the nozzle. Compared with the traditional simulated annealing algorithm and genetic algorithm, it was found that the improved simulated annealing algorithm saves calculation time and increases the isentropic efficiency by 4.94%.…”

Interior Scene Coloring Design Model Combining Improved K-means and SAA

“…In the current digital era, Indoor Scene Coloring Design (ISCD) plays a crucial role in architectural design, film production, game development, and more [1]. With the rise of virtual reality technology and consumers' high requirements for visual experience, interior scene coloring design has become more complex and the demand has increased [2].…”