Ana Maria Palomares

Centro Investigaciones Energéticas, Medioambientales y Tecnológicas | CIEMAT · División de Energías Renovables

In this contribution the wind jet dynamics in the northern margin of the Ebro River shelf (NW Mediterranean Sea) are investigated using coupled numerical models. The study area is characterised by persistent and energetic offshore winds during autumn and winter. During these seasons, a seaward wind jet usually develops in a ∼ 50 km wide band offsho...

In this contribution the wind jet dynamics in the northern margin of the Ebro River shelf (NW Mediterranean Sea) are investigated using coupled numerical models. The study area is characterized by persistent and energetic offshore winds during autumn and winter. During these seasons, a seaward wind jet usually develops in a 50 km wide band offshore...

SCADA data, recorded on the downstream wind farm, has been used to identify flow cases with visible clustering effects. The inflow condition is derived from a partly undisturbed wind turbine, due to lack of mast measurements. The SCADA data analysis concludes that centre of the deficit for the downstream wind farm with disturbed inflow has a distin...

The aim of the paper is to present offshore wind farm wake observed from satellite Synthetic Aperture Radar (SAR) wind fields from RADARSAT-1/-2 and Envisat and to compare these wakes qualitatively to wind farm wake model results. From some satellite SAR wind maps very long wakes are observed. These extend several tens of kilometres downwind e.g. 7...

This report describes the calculation of scenarios which have been defined to demonstrate the value of the EERA-DTOC tool. Thereto it should be realized that the value of the EERA-DTOC tool could best be demonstrated by a comparison with measurements but the intended clusters for which the tool is developed are still mainly in the planning phase by...

A new integrated design tool for optimization of offshore wind farm clusters is under development in the European Energy Research Alliance – Design Tools for Offshore wind farm Cluster project (EERA DTOC). The project builds on already established design tools from the project partners and possibly third-party models. Wake models have been benchmar...

Renewable marine energy is important in squeezed Mediterranean coastal zones. Wind turbines deployed over the narrow Catalan continental shelf require accurate wind/wave/current fields for a reliable design, operation and maintenance. This paper presents the large (comparative to other open sea areas) errors in meteo-oceanographic predictions for s...

Abstract Apossible solution to the problem of forecasting wind farms output in complex terrain sites comes in the form of high-resolution, advanced numerical flow models trying to improve ,on the ,NWP models ,shortcomings. These models can belinear flow models like Risø’s WAsP, or AriaWind, meso-scale models like the well-known MM5 community model,...

The aim of the European Project ANEMOS is to develop accurate and robust models that substantially outperform current state-of-the-art methods, for onshore and offshore wind power forecasting. Advanced statistical, physical and combined modelling approaches were developed for this purpose. Priority was given to methods for on-line uncertainty and p...

Due to the large dimensions of offshore wind farms, their electricity production must be known well in advance to allow an efficient integration of wind energy into the European electricity grid. For this purpose short-term wind power prediction systems which are already in operation for onshore sites have to be adapted to offshore conditions, whic...

An outstanding question posed today by end-users like power system operators, wind power producers or traders is what performance can be expected by state-of-the-art wind power prediction models. This paper presents results of the first ever intercomparison of a number of advanced prediction systems performed in the frame of the European project An...

Mathematical/statistical models based on purely autoregressive, fuzzy autoregressive and neural networks are being tested for wind power forecasting. Also, physical/meteorological models based on geostrophic wind estimates are being conjugated with a proposed sectorial discretization of the problem, in which the microscale orographic corrections an...

The scope of the European R&D project ANEMOS (ENK5-CT-2002-00665) is to improve the accuracy of short-term wind power forecasting technology. In the frame of this project, a number of case-studies were set-up covering onshore wind farms at flat, semi-complex and complex terrain as well as offshore ones. For these cases, several years of measurement...

Se presenta un estudio estadístico de las características del viento en el Estrecho de Gibraltar a lo largo de un periodo de tres años. Este estudio comprende un análisis espectral de frecuencia y persistencia del viento. Además se desarrolla un modelo de ajuste estadístico multivariante para mejorar y adaptar las predicciones meteorológicas que re...