Summary
To deliver the future needed renewable energy capacity, wind farm developers will have to use larger turbines, at higher altitudes, explore novel geographical regions and offshore sites.
Currently, wind turbines and wind farms are designed and operated considering “just” wind conditions. Consequently, the models do not take into account the physics and aerodynamics of atmospheric wind flows at high altitudes, neither how this is affected by the location, the effect of precipitation and/or sand. This reduces the expected efficiency of wind energy production, and makes hard to estimate the energy outputs, operating costs and lifespan of blades and turbines, increasing variability and the risk to investors and project developers when designing wind farms, reducing the total potential investment. Unless new sites can be identified and designed optimally, the LCOEs will start to rise as developers have to design wind farms that cannot be well predicted with conventional models.
The AIRE consortium foresees precipitation and other events (clouds, sand, shear, inflow) that wind brings into the state of play to be the new key parameters for siting of wind turbines, wind farm design, component design and O&M strategies planning. AIRE will investigate solution to assess the potential impact of REAL climate conditions in different terrains, and different altitudes both onshore and offshore, gathering information from 4 experimental sites and 4 commercial wind farms.
Specially AIRE will bring together researchers, blade manufacturers and utilities to create an open access knowledge hub of experimental data, develop new numerical models, build tools to design and control wind turbines and wind farms. The effectiveness of the developed tools and models will be validated using data from commercial wind farms
Currently, wind turbines and wind farms are designed and operated considering “just” wind conditions. Consequently, the models do not take into account the physics and aerodynamics of atmospheric wind flows at high altitudes, neither how this is affected by the location, the effect of precipitation and/or sand. This reduces the expected efficiency of wind energy production, and makes hard to estimate the energy outputs, operating costs and lifespan of blades and turbines, increasing variability and the risk to investors and project developers when designing wind farms, reducing the total potential investment. Unless new sites can be identified and designed optimally, the LCOEs will start to rise as developers have to design wind farms that cannot be well predicted with conventional models.
The AIRE consortium foresees precipitation and other events (clouds, sand, shear, inflow) that wind brings into the state of play to be the new key parameters for siting of wind turbines, wind farm design, component design and O&M strategies planning. AIRE will investigate solution to assess the potential impact of REAL climate conditions in different terrains, and different altitudes both onshore and offshore, gathering information from 4 experimental sites and 4 commercial wind farms.
Specially AIRE will bring together researchers, blade manufacturers and utilities to create an open access knowledge hub of experimental data, develop new numerical models, build tools to design and control wind turbines and wind farms. The effectiveness of the developed tools and models will be validated using data from commercial wind farms
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101083716 |
| Start date: | 01-01-2023 |
| End date: | 31-12-2026 |
| Total budget - Public funding: | 5 424 916,43 Euro - 5 424 916,00 Euro |
Cordis data
Original description
To deliver the future needed renewable energy capacity, wind farm developers will have to use larger turbines, at higher altitudes, explore novel geographical regions and offshore sites.Currently, wind turbines and wind farms are designed and operated considering “just” wind conditions. Consequently, the models do not take into account the physics and aerodynamics of atmospheric wind flows at high altitudes, neither how this is affected by the location, the effect of precipitation and/or sand. This reduces the expected efficiency of wind energy production, and makes hard to estimate the energy outputs, operating costs and lifespan of blades and turbines, increasing variability and the risk to investors and project developers when designing wind farms, reducing the total potential investment. Unless new sites can be identified and designed optimally, the LCOEs will start to rise as developers have to design wind farms that cannot be well predicted with conventional models.
The AIRE consortium foresees precipitation and other events (clouds, sand, shear, inflow) that wind brings into the state of play to be the new key parameters for siting of wind turbines, wind farm design, component design and O&M strategies planning. AIRE will investigate solution to assess the potential impact of REAL climate conditions in different terrains, and different altitudes both onshore and offshore, gathering information from 4 experimental sites and 4 commercial wind farms.
Specially AIRE will bring together researchers, blade manufacturers and utilities to create an open access knowledge hub of experimental data, develop new numerical models, build tools to design and control wind turbines and wind farms. The effectiveness of the developed tools and models will be validated using data from commercial wind farms
Status
SIGNEDCall topic
HORIZON-CL5-2021-D3-03-04Update Date
09-02-2023
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Organisations
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| FUNDACION CENER (Coördinator)
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| CAPITAL ENERGY ENGINEERING SL
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| CARTAGO VENTURES SL
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| CONSORCIO PARA EL DISENO, CONSTRUCCION, EQUIPAMIENTO Y EXPLOTACION DE LA PLATAFORMA OCEANICA DE CANA...
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| DANMARKS TEKNISKE UNIVERSITET
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| ENGIE
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| OFFSHORE RENEWABLE ENERGY CATAPULT
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| SIEMENS GAMESA RENEWABLE ENERGY AS
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| TEKNOLOGIAN TUTKIMUSKESKUS VTT OY
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| UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA (ULP)