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HIPERWIND

Financiado

Cerrado

HIghly advanced Probabilistic design and Enhanced Reliability methods for high v...

HIghly advanced Probabilistic design and Enhanced Reliability methods for high value cost efficient offshore WIND The core challenge addressed in this project is the advancement of the entire modelling chain spanning basic atmospheric physics to advanced engineering design in order to lower uncertainty and risk for large offshore wind farms.... ver más

30/09/2024

TECHNICAL UNIVERSI...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

DANMARKS TEKNISKE UNIVERSITET 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 11 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-09-30

LC-SC3-RES-31-2020: Offshore wind basic science and bal...

I+D

Cerrada hace 4 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

11 Participantes

TECHNICAL UNIVERSITY OF DENM...

1.04M€ | Lider

ALIMERKA

277.62K€ | Participante

EDF R&D UK

N.D. | Participante

HVL

439.50K€ | Participante

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Duración del proyecto: 45 meses Fecha Inicio: 2020-12-08
Fecha Fin: 2024-09-30

Líder del proyecto

DANMARKS TEKNISKE UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The core challenge addressed in this project is the advancement of the entire modelling chain spanning basic atmospheric physics to advanced engineering design in order to lower uncertainty and risk for large offshore wind farms. The five specific objectives of the HIPERWIND project are to: 1) improve the accuracy and spatial resolution of met-ocean models; 2) develop novel load assessment methods tailored to the dynamics of large offshore fixed bottom and floating wind turbines; 3) develop an efficient reliability computation framework; 4) develop and validate the modelling framework for degradation of offshore wind turbine components due to loads and environment; and 5) prioritize concrete, quantified measures that result in LCOE reduction of at least 9% and market value improvement of 1% for offshore wind energy. The requirements for advanced modelling and development of basic scientific solutions necessitates the strong involvement from academic partners (DTU, ETH, and UiB) and research organizations (IFPEN, DNVGL, and EPRI) and potential end users (EDF) to supply relevant operational data for model validation, provide access to cutting edge industrial environment and to open up exploitation pathways beyond TRL5 toward eventual commercialisation. HIPERWIND employs multi-scale atmospheric flow and ocean modelling, creating a seamless connection between models of phenomena on mesoscale level and those on wind farm level, with the aim of reducing uncertainty in load predictions, and broadening the range of scenarios for which adequate load predictions are possible. Improved modelling of environmental conditions, improved load predictions, better reliability assessment and lower uncertainty, cost efficient design and operating strategies, and lower O&M costs will yield a projected 9% decrease in the Levelized Cost of Energy (LCOE) and 1% increase in the market value of offshore wind by the conclusion of the project.

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