Simulation of water turbine integrated with electrical generator

Borkowski, Dariusz; Węgiel, Michał; Ocłoń, Paweł; Węgiel, T.

doi:10.1051/matecconf/201824005002

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…For turbulence modeling, considering a fully turbulent flow condition imposed by the high Reynolds number, equal to about 2.7 million based on axial velocity and the rotor blade chord, the Spalart-Allmaras one-equation model [20] is employed, renowned for its ability to offer a straightforward yet reliable assessment of turbulence effects in hydraulic applications [21][22][23]. The height of the first cell near solid walls in each row is adjusted to achieve a non-dimensional wall coordinate (y + ) of approximately 1.…”

Section: Velocity Component Radial Distributions At the Rotor Inlet A...mentioning

confidence: 99%

A Comparative Analysis of Distributor and Rotor Single Regulation Strategies for Low Head Mini Hydraulic Turbines

Barsi,

Satta,

Ubaldi

et al. 2024

Energies

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Tubular axial turbines (TATs) play a crucial role in mini and micro hydropower setups that require simplified yet reliable solutions. In very low head scenarios, single regulation in TATs is common, due to economic impracticality of the sophisticated mechanisms involved in the conjugate distributor–rotor regulation typical of the Kaplan turbines. Distributor or rotor single regulation strategies offer operation flexibility, each with distinct advantages and disadvantages. Stator regulation is simpler, while rotor regulation is more complex but offers potential efficiency gains. The present paper analyzes energy losses associated with these regulation strategies using two approaches: 1D mean line turbomachinery equations and 3D Computational Fluid Dynamics (CFD). The 1D mean line approach is used for understanding the conceptual fluid dynamic aspects involved in the two different regulation approaches, thereby identifying the loss-generation mechanisms in off-design operation. Fully 3D CFD simulations allow for quantifying and deeply explaining the differences in the hydraulic efficiencies of the two regulation strategies. Attention is focused on the two main loss contributions: residual tangential kinetic energy at the rotor outlet and entropy generation. Rotor regulation, even if more complex, provides better results than distributor regulation in terms of both effectiveness (larger flow rate sensitivity to stagger angle variation) and turbine operating efficiency (lower off-design losses).

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Section: Velocity Component Radial Distributions At the Rotor Inlet A...mentioning

confidence: 99%

A Comparative Analysis of Distributor and Rotor Single Regulation Strategies for Low Head Mini Hydraulic Turbines

Barsi,

Satta,

Ubaldi

et al. 2024

Energies

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show abstract

“…Given the large number of simulations to be performed during the database generation, the simple but reliable turbulence model [25,26] proposed by Spalart-Allmaras [27] was chosen for the evaluation of the turbulence effects. The mesh first cell height is suitably chosen in order to ensure a value of y + below the unit.…”

Section: Mesh Generation and Numerical Modelmentioning

confidence: 99%

Optimized Design of a Novel Hydraulic Propeller Turbine for Low Heads

Barsi

Ubaldi

Zunino

et al. 2021

Designs

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In the present paper, an optimized design procedure capable of providing the geometry of a high efficiency compact hydraulic propeller turbine for low head is proposed and developed. The turbine preliminary design is based on fundamental turbomachinery mean-line equations and on the employment of statistical correlations, which relate the main geometrical parameters to the fundamental design parameters. The first obtained geometry represents the starting point of an automated aerodynamic single point optimization procedure based on a genetic algorithm generating and updating a wide database of turbine geometries. The approach employs a three-dimensional (3D) Reynolds averaged Navier–Stokes (RANS) solver for the construction of the corresponding database of performance. A meta-model, such as an artificial neural network (ANN), is used to speed up the design optimization process. The procedure has been applied on the practical case of a novel simplified hydraulic propeller turbine prototype for very low heads. The adopted design optimization procedure is able to modify the turbine blade and vane geometries in order to achieve automatically the targeted net head and the maximum for the total to total internal efficiency once diameter, mass flow rate, and rotational speed are assigned.

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A new compact hydraulic propeller turbine for low heads

et al. 2019

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In this paper, a design procedure for a compact hydraulic propeller turbine for low heads is proposed and developed. The design is based upon classical criteria and on the employment of statistical correlations, which relates the main geometrical parameters to the fundamental design parameters of turbomachinery. The procedure for obtaining the meridional flow path and the stator vanes and rotor blades geometries is explained step by step. The obtained 3D model is employed to carry out a CFD calculation in order to obtain the turbine overall performance and main working parameters.

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Simulation of water turbine integrated with electrical generator

Cited by 4 publications

References 11 publications

A Comparative Analysis of Distributor and Rotor Single Regulation Strategies for Low Head Mini Hydraulic Turbines

A Comparative Analysis of Distributor and Rotor Single Regulation Strategies for Low Head Mini Hydraulic Turbines

Optimized Design of a Novel Hydraulic Propeller Turbine for Low Heads

A new compact hydraulic propeller turbine for low heads

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