A numerical analysis of unsteady inflow wind for site specific vertical axis wind turbine: A case study for Marsabit and Garissa in Kenya

2015 ◽  
Vol 76 ◽  
pp. 648-661 ◽  
Author(s):  
David Wafula Wekesa ◽  
Cong Wang ◽  
Yingjie Wei ◽  
Joseph N. Kamau ◽  
Louis Angelo M. Danao
Keyword(s):  
Numerical Analysis ◽  
Wind Turbine ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine ◽  
Site Specific ◽  
Unsteady Inflow

Numerical Analysis of a Rooftop Vertical Axis Wind Turbine

2011 ◽  
Author(s):  
N. Cristobal Uzarraga-Rodriguez ◽  
A. Gallegos-Mun˜oz ◽  
J. Manuel Riesco A´vila
Keyword(s):  
Numerical Analysis ◽  
Wind Turbine ◽  
Numerical Study ◽  
Vertical Axis ◽  
Turbine Rotor ◽  
Aerodynamic Performance ◽  
Power Coefficient ◽  
Vertical Axis Wind Turbine ◽  
Sliding Mesh ◽  
Mesh Model

A numerical analysis of a rooftop vertical axis wind turbine (VAWT) for applications in urban area is presented. The numerical simulations were developed to study the flow field through the turbine rotor to analyze the aerodynamic performance characteristics of the device. Three different blade numbers of wind turbine are studied, 2, 3 and 4, respectively. Each one of the models was built in a 3D computational model. The effects generated in the performance of turbines by the numbers of blades are considered. A Sliding Mesh Model (SMM) capability was used to present the dimensionless form of coefficient power and coefficient moment of the wind turbine as a function of the wind velocity and the rotor rotational speed. The numerical study was developed in CFD using FLUENT®. The results show the aerodynamic performance for each configuration of wind turbine rotor. In the cases of Rooftop rotor the power coefficient increases as the blade number increases, while in the case of Savonius rotor the power coefficient decrease as the blades number increases.

Numerical analysis of the one-stage and two-stage helical Savonius vertical axis wind turbine

2022 ◽  
Author(s):  
S. Seralathan ◽  
P. S. Dinesh Kumar ◽  
Subham Singh ◽  
Rabin Raj ◽  
S. Sathish
Keyword(s):  
Numerical Analysis ◽  
Wind Turbine ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine ◽  
Two Stage ◽  
One Stage ◽  
The One

518 Numerical Analysis for the Wind Tunnel Experiments of Savonius-type and Bach-type Vertical Axis Wind Turbine

2005 ◽  
Vol 2005 (0) ◽  
pp. 191-192
Author(s):  
Yusuke TSUKIMATA ◽  
Katsuya ISHIMATSU ◽  
Kazuyuki KAGE ◽  
Toyoyasu OKUBAYASHI ◽  
Hiroya SANO
Keyword(s):  
Numerical Analysis ◽  
Wind Tunnel ◽  
Wind Turbine ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine ◽  
Wind Tunnel Experiments

Case Study: Dynamic Analysis of a Novel Vertical Axis Wind Turbine

2015 ◽  
Author(s):  
Jeffrey A. Bennett ◽  
Shane Coogan ◽  
Kenneth B. Lane
Keyword(s):  
Wind Turbine ◽  
Analytical Model ◽  
Degrees Of Freedom ◽  
Vertical Axis ◽  
Energy System ◽  
Vertical Axis Wind Turbine ◽  
Low Level ◽  
Unique System ◽  
Novel Concept

An analytical model was developed for the dynamic evaluation of a novel vertical axis wind energy system. This study was conducted early on in the design process, so the goal was to create a low level tool to determine if the concept was feasible, to perform initial sizing of the turbine, to better understand the behavior of the unique furling mechanisms, and to predict the performance. In order to prevent damage at high rotational speeds, the novel concept integrates passive mechanisms into a drag driven vertical axis wind turbine with the intention that blades furl out of the wind once a critical wind speed is reached, and passively reopen. Established wind turbine aeroelastic codes were unable to represent this unique system, therefore, a standalone analytical model was developed in Python. A Lagrangian approach was taken to represent the interactions of the system’s degrees of freedom. To complete the model, mathematical representations of the furling mechanisms and interaction of the wind on the blades was developed. Basic structural calculations were also included to determine the initial size of the primary mechanical components. This case study focuses on the development of the low-level dynamic model and shares several results of the expected behavior.

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