Design optimization of an Archimedes screw turbine for hydrokinetic applications using the response surface methodology

In this study, the performance of an Archimedes screw turbine (AST), in terms of the power coefficient (CP), was evaluated. The design parameters, including the inner and the outer diameter (Di and Do, respectively), the axle length (L), the blade inclination with respect to the longitudinal axis of...

Full description

Autores:
Bouvant, Maël
Betancour Osorio, Johan Slayton
Velásquez García, Laura Isabel
Rubio Clemente, Ainhoa
Chica Arrieta, Edwin Lenin
Tipo de recurso:
Article of investigation
Fecha de publicación:
2021
Institución:
Tecnológico de Antioquia
Repositorio:
Repositorio Tdea
Idioma:
eng
OAI Identifier:
oai:dspace.tdea.edu.co:tdea/2980
Acceso en línea:
https://dspace.tdea.edu.co/handle/tdea/2980
Palabra clave:
Energía cinética
Kinetic energy
Energía hidroeléctrica
Énergie hydroélectrique
Hydroelectric power
Generación de energía
Production énergétique
Energy generation
Produção energética
Energía hidroeléctrica
Énergie hydroélectrique
Hydroelectric power
Impacto ambiental
Impact sur l'environnement
Environmental impact
Efectos de las actividades humanas
Effet des activités humaines
Human activities effects
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:In this study, the performance of an Archimedes screw turbine (AST), in terms of the power coefficient (CP), was evaluated. The design parameters, including the inner and the outer diameter (Di and Do, respectively), the axle length (L), the blade inclination with respect to the longitudinal axis of the screw (α) and the blade stride (p), were selected as the studied factors to be optimized by using the response surface methodology and particularly a central composite design of experiments (CCD) to maximize the CP value. Computational fluid dynamics simulations were conducted to investigate the interaction among the referred parameters on the turbine performance. In the numerical simulation, six degrees of freedom (6-DoF) user defined function (UDF) method was used. Furthermore, the results obtained for the initial and the optimized turbine configurations were compared based on the experimental data available in the literature. The numerical results showed a good agreement with the reported experimental data. The highest CP values obtained under optimal design conditions; i.e., at aDi/Do, L, α and a p equal to 0.1, 360 mm, 73.94∘ and 220 mm, respectively, were 0.5515 (CFD result) and 0.5137 (predicted value derived from the validated reduced second-order regression model).