Cfd modelling of h-darrieus vertical axis wind turbine

 
6.3 RECOMMENDATION AND FUTURE WORKS 
This thesis has many limitations that should be attended to gain better accuracy of the simulation 
works. In this thesis, only simulation with validation is done with the intention of doing further 
studies on the performance evaluation of wind turbine. This thesis is just a simple initial endeavor 
that is expected to contribute in the development of higher order simulations in the future. Some 
limitations with recommendations to attend them are mentioned here: 

In this project, only simulation with validation is done with the intention of doing further 
studies on the performance evaluation of wind turbine. It is recommended to do further 
studies like studying the effect of using different blade profiles, studying the effect of turbine 
radius and chord length etc.

2D simulations has its limitations as it doesn’t consider 3D effects like tip vortex that leads 
to overestimation of generated power. So, the best results are expected to obtain by 
developing a 3D model which is recommended to develop. 

The mesh and time dependent study done here needs more trial and error attempts which 
could not be done due to time and computational limitations but is recommended and 
intended to do in the future. 

The simulation was done on a personal computer with low computational capacity. For 
running this type of transient simulations, a device with better capacity would be required 
and recommended. 
This thesis has many limitations that are intended to be attended in the future endeavors. The future 
endeavor would include evaluating wind turbine performance parameters for example: the effect of 
different airfoils, the effect of chord length, the effect of turbine radius length etc. and the 
knowledge obtained from those simulations can help in the design optimization and improvements 
of H-Darrieus vertical axis wind turbines. 

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Also, to overcome the limitations of 2D model, a 3D model may be developed and used 
implementing higher computational power.

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