Finally, annual mean wind speed was calculated at each point of the grid using the 8760 hourly values of wind speed obtained with Skiron, which allowed us to build the wind resource map. The first 12 horizons have been discarded due to the spin-up of the model. To make the present wind map, we have considered the horizons between 13 to 36. Each Skiron run produces +72 hours ahead predictins (hourly values). In this work we have processed and analysed wind speed at a height of ten meters above ground level. A total of 365 runs have been used to obtain mean hourly of wind speed and direction at each point of the grid. No nesting techniques are used here, just one main domain covering the area of interest is created with an horizontal resolution of 0.1 o 0.1 o on latitude and longitude.Ģ To make the wind resource map of the Iberian Spanish Penninsula, Skiron operational runs covering year 2006 were used. It covers the west Mediterranean sea, southeast Europe, Northeast Africa and East Atlantic Ocean. Figure 1 shows the model domain used for this study. The GFS initial conditions at 12 hours UTC cycle (1 o x 1 o horizontal resolution) are downloaded each day and stored. Skiron runs operationally at CENER from October 2005, , getting the initial and boundary conditions from the Global Forecast System (GFS). In the horizontal the model is defined over the semistaggered E grid. Partial differential equations are represented by finite-difference schhellenic the model. It uses a specific step mountain vertical coordinate. Its central component is the Eta limited area weather forecasting model. The entire system is fully parallelized and requires Unix computational environment. 2 Wind resources map methodology The regional weather forecasting system Skiron was developed for operational use at the Helenic National Meteorological Service. This paper presents a methodology to make wind resource maps based on a mesoscale model (Skiron), joint to a validation study which attempts to show the accuracy of this type of mesoscale simulations. 1 Introduction The recent increase of wind energy projects in countries without wind measurements remarks the need of wind resources maps to be calculated without measurements, to help in the wind resource evaluation process. A validation of the map using 50 meteorological stations is presented. It provides global information as well as reports about different regions, levels of wind speed, direction sector etc. To measure the accuracy level of this map, a protocol of validation has been developed. Methodology and validation Martín Gastón Edurne Pascal Laura Frías Ignacio Martí Uxue Irigoyen Elena Cantero Sergio Lozano Yolanda Loureiro Wind Energy Department, National Renewable Energy Center (CENER) C/Ciudad de la Innovación, Sarriguren, Navarra SPAIN Tl: Fax: Abstract A wind resource map of Spain has been built using the mesoscale model Skiron. 1 Wind resources map of Spain at mesoscale.
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