“…On the other hand, numerical solutions with low computational cost, such as the methods of contour elements and the method of panels with nonviscous viscous interaction, are appropriate to integrate with evolutionary optimization algorithms considering two-dimensional solutions. [50][51][52] Muratoglu and Yuce 53 introduced a study using the integration of CFD and optimization algorithms, considering a constant velocity flow applied to a riverine hydrokinetic turbine regulated by stalls. The study of optimization of the rotor blades was carried out by means of a genetic algorithm using the SST turbulence model.…”
Brazil has one of the richest river basins in the world and an energy matrix based mostly on hydroelectric power. Current national policy is increasingly promoting renewable sources like wind power and solar photovoltaic power. Technologies used in generation energy via hydro, wind, and solar sources can be employed in decentralized generation. This study describes a turbine for hydro energetic use in flow sites with heads up to 2.5 (m). A hydrodynamic study was performed using computational fluid dynamics (CFD) analysis to evaluate the performance of this turbine. For this, a three-dimensional model of the turbine was considered, consisting of three computational domains, using periodicity to decrease the computational cost. The variation of the angular velocity and the volumetric flow were the boundary conditions. The turbulence model used was the shear stress transport. The draft tube geometry was modified according to the results of the CFD analysis. The efficiency and performance of the turbine improved from 79% to 80% as a result of this modification. A case study was conducted for a comparative financial analysis of the turbine proposed in this paper, with wind power and solar photovoltaic decentralized generation in Brazil.
“…On the other hand, numerical solutions with low computational cost, such as the methods of contour elements and the method of panels with nonviscous viscous interaction, are appropriate to integrate with evolutionary optimization algorithms considering two-dimensional solutions. [50][51][52] Muratoglu and Yuce 53 introduced a study using the integration of CFD and optimization algorithms, considering a constant velocity flow applied to a riverine hydrokinetic turbine regulated by stalls. The study of optimization of the rotor blades was carried out by means of a genetic algorithm using the SST turbulence model.…”
Brazil has one of the richest river basins in the world and an energy matrix based mostly on hydroelectric power. Current national policy is increasingly promoting renewable sources like wind power and solar photovoltaic power. Technologies used in generation energy via hydro, wind, and solar sources can be employed in decentralized generation. This study describes a turbine for hydro energetic use in flow sites with heads up to 2.5 (m). A hydrodynamic study was performed using computational fluid dynamics (CFD) analysis to evaluate the performance of this turbine. For this, a three-dimensional model of the turbine was considered, consisting of three computational domains, using periodicity to decrease the computational cost. The variation of the angular velocity and the volumetric flow were the boundary conditions. The turbulence model used was the shear stress transport. The draft tube geometry was modified according to the results of the CFD analysis. The efficiency and performance of the turbine improved from 79% to 80% as a result of this modification. A case study was conducted for a comparative financial analysis of the turbine proposed in this paper, with wind power and solar photovoltaic decentralized generation in Brazil.
“…An improved version of PM is used by [21,22] for 2D cascade design and flow modeling, in his work only pressure distribution is estimated, whereas [23] used the similar technique to estimate the aeroelastic stability parameters, but in this work only camber surface of the blade is modeled not the actual geometry. Furthermore, Ramierez et al [24] employed a modified version of PM with viscousinviscid coupling technique to study the boundary layer separation and the aerodynamic characteristics in the rectilinear 2D blade cascade. In an other study Chen et al [25] have used a 2D frequency domain source-doublet based PM to estimate the 2D and quasi 3D blade loading in centrifugal type turbomachinery system.…”
In this paper a cost effective numerical model for subsonic classical flutter analysis for turbomachinery is presented. The model is based on reduced order aeroelastic modeling (ROAM) approach. The prime objective of the ROAM is to significantly reduce the computational time for flutter analysis of low pressure (LP) stage blades of power turbines at preliminary design stage. A mesh free incompressible fluid solver based on boundary element method(BEM) e.g. 3D panel method is developed. The proposed ROAM is employed to perform subsonic aeroelastic stability analysis in 3D blade cascades. The ROAM simulated results are compared against experimental and high fidelity CFD-CSD model's results. The ROAM estimated results show good agreement with experimental results and prove to be much faster in execution compared to CFD-CSD model. Therefore, this gives designers and engineers a freedom to analyze multiple design iteration in very short time on normal workstation. Thus, the ROAM has immense potential for industrial use as a cost effective and faster numerical tool for design and analysis of more efficient and safer power turbines to meet the future demand of electric energy cheaply, quickly and efficiently.
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