In this work it is shown that both CARDAAV code and CFD simulations can predict accurate estimates of the power coefficient with and without the vortex effect. The effect of vortex augmentation is predicted with a good degree of accuracy using CFD compared to the field test data. The comparison between single rotor and 3-rotor models clearly demonstrates that the proximity of the rotors increases the power coefficient. The analysis also shows that the increase in the torque magnitude or velocity amplification is greater on the advancing blades, i.e., blades moving against the free stream direction as well as when the tip-to-tip distance is decreased.
In this work it was shown that CFD and CARRDAV calculate very close values of the power coefficient for vertical axis wind turbines, nevertheless the computational time is very long for CFD runs. We have shown that the “coupled vortex effect” is also increasing the coefficient of power for three WHI 3000 wind turbines places in a linear array. The optimal location and closeness of the turbines has not been investigated. We note that the turbines can be placed even closer. Furthermore, we recommend a study of the crosswind to evaluate the decrease in power coefficient that can result if the wind changes direction.
Ion Paraschivoiu, Memo to WHI, 3 Feb 2010
Wind turbines must withstand harsh environments that induce many stress cycles into their components. A numerical analysis package is used to illustrate the sobering variability in predicted fatigue life with relatively small changes in inputs. The variability of the input parameters is modeled to obtain estimates of the fatigue reliability of the turbine blades.
Marius Paraschivoiu, Chad X. Zhang, Selvanayagam Jeyatharsan, Norbert V. Dy, Farooq Saeed, Robert N. Thomas, Ion Paraschivoiu, IOPARA Inc. 2011
Nicolas Parneix, Rosalie Fuchs, Alexandre Immas, Frederic Silvert, Paul Deglaire, 2016
Improving the performance of Vertical Axis Wind Turbines is the key to make VAWTs commercially successful. Scientists have investigated several interesting concepts for that purpose: increasing the swept area, especially to the limit the losses due to 3D effects, or using flap and pitch systems to control the flow around the blades. Nenuphar, with the Twinfloat concept, propose to take advantage of all these concpets combined with an aerodynamic effect called counter-rotating effect. The turbine is made of two 2.5MW VAWT on only on floater, to reach a rated power of 5MW. The proximity of the two rotors generates a contraction of the streamtubes that flow in the area between the rotors, thus increasing the air flow rate going through both the swept areas and thereby the performance of the VAWT.
IOPARA Inc., 2 August 2011
This project, carried out by IOPARA Inc. as a contract project for Wind Harvest International Inc. was completed successfully and the experience gained in the specific nature of the unique simulations was invaluable. Among the different rotor solidities analyzed as part of the solidity parametric study, a rotor solidity of 16.5 % would provide the highest power coefficient (CP =49.38 % at TSR = 3.01, with coupled vortex effect). One should also mention that the performances of the different rotor solidities of the WHI 3000 were calculated using the same interference factors, calibrated for the rotor solidity of 16.5 %. Calibration of the interference factors for the other rotor solidities would require additional CFD simulations.
Robert Thomas and Kevin Wolf, Wind Harvest International, 12 February 2012
WHI hired Iopara Inc. to create an aerodynamic model of its vertical axis wind turbine using data from an existing array of its VAWTs. The modeling showed that lower solidity turbines than what WHI had been testing (33% solidities and a 32% Cp max) would achieve much higher efficiencies (Cp max). All three versions (12.375%, 16.5%, and 24.75% solidities) are expected to achieve a Cp max of between 47% and 49.5% with the 16.5% solidity being the most efficient. The distance rotors are placed apart from one another and their orientation to the wind can benefit turbine energy output but more research is needed. The analysis of the Levelized Cost of Energy shows that the best LCOE can be achieved by the 12.375% solidity turbine because it has fewer blades which results in lower costs that make up for its slightly lower Cpmax.