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SAFEWIND

Financiado

Cerrado

Multi scale data assimilation advanced wind modeling and forecasting with empha...

Multi scale data assimilation advanced wind modeling and forecasting with emphasis to extreme weather situations for a secure large scale wind power integration The integration of wind generation into power systems is affected by uncertainties in the forecasting of expected power output. Misestimating of meteorological conditions or large forecasting errors (phase errors, near cut-off spe... ver más

31/08/2012

ARMINES

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 22 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2012-08-31 No tenemos la información de la convocatoria

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Información adicional privada

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22 Participantes

ARMINES

0.00€ | Lider

UC3M

N.D. | Participante

Uni Oldenburg

N.D. | Participante

RESEARCH UNIVERSITY INSTITUT...

N.D. | Participante

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Líder del proyecto

ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The integration of wind generation into power systems is affected by uncertainties in the forecasting of expected power output. Misestimating of meteorological conditions or large forecasting errors (phase errors, near cut-off speeds etc), are very costly for infrastructures (i.e. unexpected loads on turbines) and reduce the value of wind energy for end-users. The state of the art in wind power forecasting focused so far on the "usual" operating conditions rather than on extreme events. Thus, the current wind forecasting technology presents several strong bottlenecks. End-users urge for dedicated approaches to reduce large prediction errors or predict extremes at local scale (gusts, shears) up to a European scale as extremes and forecast errors may propagate. Similar concerns arise from the fields of external conditions and resource assessment, where the aim is to minimize project failure. The aim of this project is to substantially improve wind power predictability in challenging or extreme situations and at different temporal and spatial scales. Going beyond this, wind predictability is considered as a system design parameter linked to the resource assessment phase, where the aim is to take optimal decisions for the installation of a new wind farm. The project concentrates on: using new measuring devices for a more detailed knowledge of the wind speed and energy available at local level; develop strong synergy with research in meteorology; develop new operational methods for the very-short-term for warning/alerting that use coherently collected meteorological and wind power data distributed over Europe to early detect and forecast extreme events; develop models to improve medium term wind predictability; develop a European vision of wind forecasting taking advantage of existing operational forecasting installations at various European end-users. Finally, the new models will be implemented into pilot operational tools for evaluation by the end-users in the project.

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