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AIRE in numbers

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Towards a better understanding of wind flows

The tools to ensure higher efficiency in the wind industry

We aim to create a cost-effective, user-friendly, multi-fidelity prediction toolbox made of 4 complementary tools and 5 efficient numerical models for the wind farm sector to improve efficiency. By doing so, we expect to reduce the cost of energy, as well as operation and maintenance costs due to blade erosion, and increase production.

The heart of our project

Our goals

Create an open-access knowledge hub of experimental data to be widely used by the research community.
Develop new numerical models considering real climate conditions.
Build tools to design and control wind farms.
Validate the effectiveness of the developed tools and models through case studies.
Develop standards and improvements for new blade designs.

Towards a better understanding of wind flows

The tools to ensure higher efficiency in the wind industry

We aim to create a cost-effective, user-friendly, multi-fidelity prediction toolbox made of 4 complementary tools and 5 efficient numerical models for the wind farm sector to improve efficiency. By doing so, we expect to reduce the cost of energy, as well as operation and maintenance costs due to blade erosion, and increase production.

The heart of our project

Our goals

Create an open-access knowledge hub of experimental data (including weather conditions such as rain, wind, dust/sand at low and high altitude) to be widely used by the research community.
Develop new numerical models considering real climate conditions.
Build tools to design and control wind farms.
Validate the effectiveness of the developed tools and models through case studies.
Develop standards and improvements for new blade designs.

A suitable approach for an impact on the wind sector

Our project is implemented through 7 different work packages

A suitable approach for an impact on the wind sector

Our project is implemented through 7 different work packages

How we plan to go the extra-mile

Long-term outcomes that meet our goals

By a better understanding of the blade damage process, we seek to reduce wind energy costs by 5% and blade operational and maintenance costs by 20%, as well as increase annual energy production by 4% and blade durability by 2-3%. Therefore, we will help to reduce CO2 emissions to achieve the European Green Deal objectives.

Reduce the levelized cost of wind energy

Increase jobs and renewable energy usage

Improve wind turbine and wind farm control strategies

Allow wind farm developers to select the optimal designs to meet performance requirements

Reduce risk for wind farm investors, stimulating investment in the sector

How we plan to go the extra-mile

Long-term outcomes that meet our goals

By a better understanding of the blade damage process, we seek to reduce wind energy costs by 5% and blade operational and maintenance costs by 20%, as well as increase annual energy production by 4% and blade durability by 2-3%. Therefore, we will help to reduce CO2 emissions to achieve the European Green Deal objectives.

Reduce the levelized cost of wind energy

Increase jobs and renewable energy usage

Improve wind turbine and wind farm control strategies

Allow wind farm developers to select the optimal designs to meet performance requirements

Reduce risk for wind farm investors, stimulating investment in the sector

Collaboration Projects

 

Our sibling projects Flow and Meridional, also funded under HORIZON-CL5-2021-D3-03 call.

Flow Project

Flow is working on developing new and innovative prediction methods for production statistics and load performance of onshore and offshore wind energy systems. 

MERIDIONAL

Meridional focuses on optimising the performance, operation and design of onshore, offshore and airborne wind energy system.

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