Spatial interpolation and orographic correction to estimate wind energy resource in Venezuela

F. González-Longatt, Humberto Medina, J. Serrano González

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    Abstract

    This paper presents a wind resource assessment in Venezuela using an efficient combination of spatial interpolation and orographic correction for wind mapping. Mesoscale modelling offers a relatively accurate means to model meteorological conditions by solving the continuity and momentum equations. However, this approach is both time and computationally demanding. The methodology used in this work offers a computationally inexpensive solution by combining both a simple geo-statistical Kriging method to interpolate horizontal wind speed and an orographic correction to account for changes on terrain elevation. Hourly observations of wind speed and direction for 34 masts recorded during the period 2005–2009 have been analysed in order to define a statistical model of wind resources. The resulting method, which includes an exploratory statistical analysis of the wind data, is a computationally economical alternative to mesoscale modelling. Simulations results include equivalent mean wind speeds and wind power maps which have been created to a height of 50, 80 and 120 m above the ground based on a horizontal resolution of 15×15 km. Results show that the greatest wind energy resources are located in the coastal area of Venezuela with a potential for offshore applications. Preliminary findings provide a very positive evidence for offshore exploitation of wind power. Results also suggest that wind energy resources for commercial use (utility-scale) are available in northern Venezuela, additionally; they suggest excellent conditions for wind power production for micro-scale applications, both on- and off-grid. Publisher statement: NOTICE: this is the author’s version of a work that was accepted for publication in Renewable and Sustainable Energy Reviews. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Renewable and Sustainable Energy Reviews [Vol 48 (2015)] DOI: 10.1016/j.rser.2015.03.042. © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
    Original languageEnglish
    Pages (from-to)1-16
    JournalRenewable and Sustainable Energy Reviews
    Volume48
    DOIs
    Publication statusPublished - 3 Apr 2015

    Bibliographical note

    NOTICE: this is the author’s version of a work that was accepted for publication in Renewable and Sustainable Energy Reviews. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Renewable and Sustainable Energy Reviews [Vol 48 (2015)] DOI: 10.1016/j.rser.2015.03.042. © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

    Keywords

    • Wind potential
    • Wind power
    • Wind resource assessment
    • Wind speed

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