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Wind Field Diagnostic Model

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Wind Field and Solar Radiation Characterization and Forecasting

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

This chapter describes Wind3D, a mass-consistent diagnostic model with an updated vertical wind profile and atmospheric parameterization. First, a description of Wind3D is provided, along with their governing equations. Next, the finite element formulation of the model and the description of the solver of the corresponding linear system are presented. The model requires an initial wind field, interpolated from data obtained in a few points of the domain. It is constructed using a logarithmic wind profile that considers the effect of both stable boundary layer (SBL) and the convective boundary layer (CBL). One important aspect of mass-consistent models is that they are quite sensitive to the values of some of their parameters. To deal with this problem, a strategy for parameter estimation based on a memetic algorithm is presented. Finally, a numerical experiment over complex terrain is presented along with some concluding remarks.

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Authors and Affiliations

  1. University Institute for Intelligent Systems and Numerical Applications in Engineering, University of Las Palmas de Gran Canaria, Edificio Central del Parque Tecnológico, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Spain

    Eduardo Rodríguez, Gustavo Montero & Albert Oliver

Authors
  1. Eduardo Rodríguez
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  2. Gustavo Montero
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  3. Albert Oliver
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Correspondence to Eduardo Rodríguez .

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Editors and Affiliations

  1. Atmospheric Sciences Research Center, State University of New York, Albany, New York, USA

    Richard Perez

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Rodríguez, E., Montero, G., Oliver, A. (2018). Wind Field Diagnostic Model. In: Perez, R. (eds) Wind Field and Solar Radiation Characterization and Forecasting. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-76876-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-76876-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76875-5

  • Online ISBN: 978-3-319-76876-2

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