Performance Enhancement of Fluidic Diode for a Wave Energy System through Genetic Algorithm - Archive ouverte HAL Accéder directement au contenu
Proceedings/Recueil Des Communications Proceedings of the European Wave and Tidal Energy Conference Année : 2023

Performance Enhancement of Fluidic Diode for a Wave Energy System through Genetic Algorithm

Résumé

The oscillating water column (OWC) is an extensively studied wave energy converter that produces pneumatic power from the motion of the sea waves, which can be harvested using a pair of turbines without additional devices. However, its efficiency is hampered by poor flow blockage. Researchers have proposed a fluidic diode (FD) to improve flow blockage. Its performance is given by diodicity, which is the ratio of pressure drop in reverse to forward flow. A higher resistance in the reverse path signifies enhanced flow blockage, while a lower resistance in the forward flow minimises power loss at the turbine entry. In the present study, the numerical investigation was performed by solving three-dimensional unsteady Reynolds-Averaged Navier Stokes equations using ANSYS-Fluent 16.1 to simulate the flow behaviour inside the FD. Five geometrical parameters for FD were varied to obtain its optimal shape leading to a lower pressure drop in the forward direction and higher in reverse. The optimal shape was obtained through the genetic algorithm, showing a 12% improvement in performance compared to the base model. Detailed fluid flow and performance analysis of both base and optimum models are presented in this article.
Fichier non déposé

Dates et versions

hal-04319477 , version 1 (02-12-2023)

Identifiants

Citer

Emeel Kerikous, Doddamani Hithaish, Abdus Samad, Stefan Hoerner, Dominique Thévenin. Performance Enhancement of Fluidic Diode for a Wave Energy System through Genetic Algorithm. Proceedings of the European Wave and Tidal Energy Conference, 15, 2023, ⟨10.36688/ewtec-2023-182⟩. ⟨hal-04319477⟩

Collections

UGA CNRS OSUG LEGI
14 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More