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Knowledge-Driven Computing pp 165–182Cite as

Applications of Genetic Algorithms in Realistic Wind Field Simulations

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 102))

Mass consistent models have been widely use in 3-D wind modelling by finite element method. We have used a method for constructing tetrahedral meshes which are simultaneously adapted to the terrain orography and the roughness length by using a refinement/derefinement process in a 2-D mesh corresponding to the terrain surface, following the technique proposed in [14,15,18]. In this 2-D mesh we include a local refinement around several points which are previously defined by the user. Besides, we develop a technique for adapting the mesh to any contour that has an important role in the simulation, like shorelines or roughness length contours [3,4], and we refine the mesh locally for improving the numerical solution with the procedure proposed in [6].

This wind model introduces new aspects on that proposed in [16, 19, 20]. The characterization of the atmospheric stability is carried out by means of the experimental measures of the intensities of turbulence. On the other hand, since several measures are often available at a same vertical line, we have constructed a least square optimization of such measures for developing a vertical profile of wind velocities from an optimum friction velocity. Besides, the main parameters governing the model are estimated using genetic algorithms with a parallel implementation [12,20,26]. In order to test the model, some numerical experiments are presented, comparing the results with realistic measures.

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Authors and Affiliations

  1. Institute for Intelligent Systems and Numerical Applications in Engineering, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, 35017, Las Palmas de Gran Canaria, Spain

    R. Montenegro, G. Montero, E. Rodríguez, J. M. Escobar & J. M. González-Yuste

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  1. R. Montenegro
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  2. G. Montero
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  3. E. Rodríguez
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  4. J. M. Escobar
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  5. J. M. González-Yuste
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Editor information

Editors and Affiliations

  1. ETSI Informática (3.2.49) UMA, Campus de Teatinos, 29071, Málaga, Spain

    Carlos Cotta

  2. Department of Mathematics, The Technion – Israel Institute of Technology, 32000, Haifa, Israel

    Simeon Reich

  3. Institute of Informatics, AGH – University of Science and Technology, al. Mickiewicza 30, 30-059, Kraków, Poland

    Robert Schaefer

  4. Institute of Automatics, AGH – University of Science and Technology, al. Mickiewicza 30, 30-059, Kraków, Poland

    Antoni Ligęza

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© 2008 Springer-Verlag Berlin Heidelberg

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Montenegro, R., Montero, G., Rodríguez, E., Escobar, J.M., González-Yuste, J.M. (2008). Applications of Genetic Algorithms in Realistic Wind Field Simulations. In: Cotta, C., Reich, S., Schaefer, R., Ligęza, A. (eds) Knowledge-Driven Computing. Studies in Computational Intelligence, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77475-4_11

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  • DOI: https://doi.org/10.1007/978-3-540-77475-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77474-7

  • Online ISBN: 978-3-540-77475-4

  • eBook Packages: EngineeringEngineering (R0)

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