Abstract
|
Article Information:
CFD Simulation of Twin Vertical Axis Tidal Turbines System
Syed Shah Khalid, Zhang Liang and Sheng Qi-hu
Corresponding Author: Syed Shah Khalid
Submitted: May 30, 2012
Accepted: June 29, 2012
Published: January 01, 2013 |
Abstract:
|
As concerns about rising fossil-fuel prices, energy security and climate-change increase, renewable
energy can play a vital role in producing local, clean and inexhaustible energy to supply world rising demand for
electricity. In this study, hydrodynamic analysis of vertical axis tidal turbine operating side-by-side is numerically
analyzed. Two-dimensional numerical modeling of the unsteady flow through the blades of the turbine is performed
using ANSYS CFX, hereafter CFX; this is based on a Reynolds-Averaged Navier-Stokes (RANS) model. The
purpose is to find an optimal distance between the turbines where interaction effect is minimal and constructive,
where the turbines operate more efficiently than stand alone turbine. A transient simulation is done on Vertical Axis
Tidal Turbine (VATT) using the Shear Stress Transport Turbulence (SST) model. Main hydrodynamic parameters
like torque T, coefficients of performance CP and coefficient of torque CT are investigated. The gap spacing between
the turbines has an important role in performance improvement and also in vortex shedding suppression for the
flows around two counters rotating systems. The simulation results are validated with Ye and Calisal data. The
results of this study prove that the total power output of a twin-turbine system with an optimal layout can be about
24% higher than two times that of a stand-alone turbine. We conclude that the optimally configured counter-rotating
twin turbines should be a side-by-side arrangement.
Key words: CFD simulation, hydrodynamic interaction, renewable energy, tidal energy, twin turbine, vertical axis tidal turbine,
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Syed Shah Khalid, Zhang Liang and Sheng Qi-hu, . CFD Simulation of Twin Vertical Axis Tidal Turbines System. Research Journal of Applied Sciences, Engineering and Technology, (01): 233-238.
|
|
|
|
|
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
|
Information |
|
|
|
Sales & Services |
|
|
|