prof charlton bevel gears

1. presents V Bevel Gears!!!

2. Authors V

3. Abstract V

4. V Summary /synthesis • 3D computational model baed on CFD for Savonius type VAWT( semi elliptical model) to simulate the aerodynamic behavior • The computational model is used to evaluate the performance of the wind turbine in terms of Power Coefficient ( Cp) • Design of experiments was employed using the geometry of the wind turbine as factors. This was carried out automatically using integrated computational platforms • Optimization of the geometry of the wind turbine is carried out employing metaheuristic optimization algorithm • The final optimized designs are evaluated using the CFD model for validation of its performance

5. V 1. Introduction VAWT represents a good option for implementation in small-scale applications for self-consumption purposes, in areas with limited space and changing wind conditions, such as urban and rural environments In particular, the Savonius VAWT has a simple design that allows it to operate regardless of wind direction and at relatively low wind speeds.

6. V In addition, it has the advantage of having high capacity for self-starting and low cost of construction and maintenance. However, the main disadvantage of this wind turbine resides in its low efficiency in the use of the energy available in the wind, being the design with the lowest theoretical efficiency of all .

7. V Despite the inherent advantages of the Savonius VAWT for its implementation in small-scale power generation applications, its low efficiency makes it an unprofitable option for its practical implementation. Therefore, its use in practical applications is not widely spread.

8. V • In this work , the authors propose optimizing the design of a vertical wind turbine type Savonius to maximize its efficiency in terms of its energy conversion capacity through metaheuristic algorithms and using a surrogate model of the Savonius wind turbine obtained through techniques of machine learning • By performing the optimization process using a surrogate model of the wind turbine,it intended to reduce the computational cost of the optimization process and, therefore, • reduce the time spent in the design and optimization process of the Savonius wind turbine.

9. V 2. State of the Art ( previous studies) 2.1 Design and Optimization Based on Experimental Test(Wind Tunnel)

10. 2. 2 Design and Optimization Based on Computational Models V An alternative methodology to experimental tests in controlled environments is that which makes use of computational models. • This associated with the design and optimization process. • It reduces the number of experimental tests required • The most widely used technique in this field is computational fluid dynamics or CFD, which solves the complex equations that describe the behavior of fluids using finite element or finite volume methods

11. 2. 2 Design and Optimization Based on Computational Models V

12. 2. 2 Design and Optimization Based on Computational Models V

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14. 2.3. Design and Optimization Based on Surrogate Models V • The use of surrogate models in the Savonius wind turbine design and optimization processes has begun to gain popularity among researchers in recent years . • This interest is mainly because these models offer the possibility of modeling complex systems at a low computational cost and without the need to thoroughly understand the intrinsic relationships between the inputs and the outputs of the system. • In addition, they have the particularity of being built from data collected from experimental tests and computer simulations.

15. 2.3. Design and Optimization Based on Surrogate Models V

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34. 4. Experiments and Results V

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41. 5. Discussion V 5.1. Optimized Geometry Analysis 5.2. Comparison with the State of the Art

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44. 5. Discussion V

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