Otimização geométrica multiobjetivo de um concentrador híbrido do tipo disco parabólico

Abstract

Dish-Stirling systems are commonly installed in geographically remote and isolated locations, often receiving incident winds. This boundary condition encouraged the proposal for hybridization of Dish-Stirling systems based on the harnessing wind energy to generate electricity. This proposal fomented the development of the hybrid dish concentrator, which consists of an innovative concept that performs solar concentration and, under wind availability, torque generation. The hybrid dish concentrator was designed and the proposed hybridized system was modeled, both being extensively analyzed. Subsequent studies concluded that maximizing electricity generation of the proposed hybridized system would be achieved through multi-objective geometric optimization of the hybrid concentrator. Therefore, this study proposed a methodology for carrying out an optimization based on parameterized geometric analysis of the hybrid concentrator. The proposed methodology consist of the parameterized generation of geometries, meshes and CFD, which are defined by the DOE to obtain the response surface that will be optimized by the MOGA algorithm. The optimization of the hybrid concentrator resulted in an increase in the annual electricity generation of the proposed hybrid system by around 25% and 1 [MWh]. Maximizing annual electricity generation also resulted a reduction in its LCOE of around 17%. The comparative analysis based on LCOE of the optimized hybrid system and two analogous systems (Dish-Stirling and Dish-Stirling associated with a wind turbine) demonstrates that the optimization achieved its purpose, obtaining a system with an LCOE much lower than the other systems analyzed. This study proposed a suitable methodology for parameterized analyzes and optimization of horizontal axis wind turbines and Dish-Stirling systems. Parameterization is the highlight of the proposed methodology, mainly due to the new approach for blade element moment theory (BEM).