Simulation of vorticity wind turbines : a coupled discret element method and finite volume method for the simulation of elastic bodies
Several devices and man-made structures interact dynamically with fluids such as water and air, behaving essentially as flexible elastic systems that undergo large deformations and complex dynamics. The design and analysis of the variable degrees of effciency that these devices may have under differ...
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| Format: | masterThesis |
| Sprog: | engelsk |
| Udgivet: |
2017
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| Fag: | |
| Online adgang: | https://hdl.handle.net/20.500.12008/22381 |
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| Summary: | Several devices and man-made structures interact dynamically with fluids such as water and air, behaving essentially as flexible elastic systems that undergo large deformations and complex dynamics. The design and analysis of the variable degrees of effciency that these devices may have under different flow conditions can be carried out using numerical modeling tools. Devising ways of simulating the behavior of fluids with ever increasing accuracy is essential to save time and resources while testing the potential of new technologies. One of the fields of engineering that has shown most significant growth in recent years is the generation of energy from renewable sources. The present research adapts mathematical methods, still new to the field, to represent ways of dealing with flows of fluid in bidirectional interactions with those new technologies, and particularly applies them to the exploration of a new kind of vertical blade-less turbine that gathers energy from the vortex induced vibrations (VIV) of a relatively short and scalable mast. This device is very promising for several logistic and cost related reasons, especially when considering the difficulties of implementing new approaches in developing countries, but until now it has not been tested under rigorous theoretical models or with simulation methods that can have true predictive value. This research a) presents a framework for such modeling by coupling the discrete element method (DEM) with the finite volume method (FVM), b) compares the theoretical method with previous tests that had both computational and physical experiments to be contrasted, and c) suggests ways to make the technology more efficient and adaptable to changing conditions. |
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