Journal
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
Volume 107, Issue -, Pages 48-56Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jweia.2012.03.020
Keywords
Wind data sources; Low quality stations; Wind mesoscalar models; Wind resource assessment
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Funding
- Spanish Ministry of Science and Innovation [TEC2010-19242-C03-03]
- Andalusian Government in Computational Instrumentation and Industrial Electronics Department [PAIDI-TIC-168]
- Andalusian Government in the Agriculture and Environmental Department [PAIDI-TIC-168]
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Wind data represent a critical element in different processes associated to wind energy production, as wind resource assessment, wind forecasting, or wind farm control. A large amount of available information is often excluded from the analysis because it is acquired at stations that do not respect completely the World Meteorological Organization (WMO) standards, so that their corresponding collected data could be unreliable for wind energy purposes. However, even if they are distorted by surrounding elements, these abundant data processed as a whole could be an important source of wind measurements. The present work tests the usefulness of the information provided by a group of basic meteorological stations focused on agricultural monitoring. This is done using a simple linear model which extracts a regional wind description from the real measurements. The validation is performed by contrasting with two advanced numerical estimations of the wind climate in the area. The visual and numerical comparison among the estimations shows that basic stations could be considered an interesting source of information, able to help in many wind areas, but also able to supply models specifically designed to work with this kind of data. (C) 2012 Elsevier Ltd. All rights reserved.
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