Summary of the technology
Nowadays, aerodynamic industry makes use of exclusively customary techniques over the different stages composing the design process. These techniques require some computing time (depending on the accuracy provided), which bounds the number of different designs that can be taken into account. By reducing that time through the use of new methods in artificial intelligence, it is possible increasing the amount of considered designs.
Description of the technology
The research group GHEODE, belonging to the Department of Signal Theory and Communications in the University of Alcalá, is currently working about the improvement of the design of wind turbines. By using artificial intelligence methods, several design tasks can be tackled in a much quicker way than by beans of customary techniques, which allows saving a considerable amount of time along such process.
Artificial intelligence has been widely applied to lots of design processes over last few years, given its ability to tackle the behavior of many processes, starting from a set of examples produced by these ones. Nowadays, the design process of wind energy production, storage and distribution systems makes use of classical methods. The main objective over this process is considering as many different designs as possible, but this number is bounded by the amount of time required by such methods. The objective of this work is replacing some of these classical methods by novel methods in artificial intelligence. Some of these techniques manage the available knowledge in a much more efficient way, providing in some cases even more accurate results. Artificial intelligence methods are able to save much time in the analysis of each proposed model, and thus, make possible to take into account a larger number of considered models throughout the design process.
Main advantages of its use
- The main advantage of the soft computing algorithms in the design of complex systems is a hard reduction on the search space of the optimum parameters of the system. Considering the large computing time of the simulation tools that process the parameters, the result is an important reduction of the cost/resources dedicated to the design task.