The Anemos Project : Next Generation forecasting of Wind power

Autor: Georges Kariniotakis, Didier Mayer, Heinemann Detlev, Jens Tambke, Julio Usaola, Ignacio Marti, Henrik Madsen, Torben Skov Nielsen, Christine Lac, Waldl, H. P., Félix Dierich, Jim Halliday, Richard Brownsword, Gregor Giebel, Jake Badger, Jacques Moussafir, George Kallos, Petroula Louka, Thierry Jouhanique, Manuel Calleja, John Toefting, Ryan, M., Carrington, M., John Indorf, Antiopi Gigantidou, Gonzales, G., Barosso, E., Barquero, C., Seguardo, P., Ignacio Cruz, Ana Maria Palomares, Hatziargyriou, Nikos D.
Přispěvatelé: Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), University of Oldenburg, Universidad Carlos III de Madrid [Madrid] (UC3M), Centro Nacional de Energías Renovables - Fundación CENER-CIEMAT (CENER), Technical University of Denmark [Lyngby] (DTU), Météofrance, Météo France, overspeed GmBh&CoKG, GmBh&CoKG, CCLRC Rutherford Appleton Laboratory (RAL), Risø National Laboratory, Danish Ministry of Science, Technology and Innovation, ARIA Technologies, Institute of Accelerating Systems and Applications [Athens] (IASA), EDF R&D (EDF R&D), EDF (EDF), EHN, ELSAM, ESB National Grid - Power System Operations, ESB National Grid - Power System Operation, Energieversorgung Weser-Ems AG (EWE AG), Public Power Corporation - Grèce (PPC), PPC, Red Eléctrica de España (REE), Red Eléctrica de España, IDAE - Spain, Centro de Investigaciones Energéticas Medioambientales y Tecnológicas [Madrid] (CIEMAT), Institute of Communication and Computer Systems, Department of Electrical and Computer Engineering (ICCS), National Technical University of Athens [Athens] (NTUA), European Project: ENK5-CT-2002-00665,ANEMOS, Mines Paris - PSL (École nationale supérieure des mines de Paris), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2004
Předmět:
Zdroj: International technical Conference DEWEK 2004, 7th German Wind Energy Conference
International technical Conference DEWEK 2004, 7th German Wind Energy Conference, Oct 2004, Wilhelmshaven, Germany. pp.DEWEK 2004
Ignacio Marti
BASE-Bielefeld Academic Search Engine
HAL
Georges Kariniotakis
Popis: International audience; This paper presents the objectives and the research work carried out in the frame of the ANEMOS project on short-term wind power forecasting. The aim of the project is to develop accurate models that substantially outperform current state-of-the-art methods, for onshore and offshore wind power forecasting, exploiting both statistical and physical modeling approaches. The project focus on prediction horizons up to 48 hours ahead and investigates predictability of wind for higher horizons up to 7 days ahead useful i.e. for maintenance scheduling. Emphasis is given on the integration of high-resolution meteorological forecasts. For the offshore case, marine meteorology is considered as well as information by satellite-radar images. Specific modules are also developed for on-line uncertainty and prediction risk estimation. An integrated software platform, 'ANEMOS', is developed to host the various models. This system will be installed by several end-users for on-line operation at onshore and offshore wind farms for prediction at a local, regional and national scale. The applications include different terrain types and wind climates, on- and offshore cases, and interconnected or island grids. The on-line operation by the utilities will allow validation of the models and an analysis of the value of wind prediction for a competitive integration of wind energy in the developing liberalized electricity markets.
Databáze: OpenAIRE
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