Pilot6 | EO-based surveillance of POPs pollution
Pilot 3.4 | WindSight - First class input data for wind energy models
The cost and financing of new wind energy projects on land depends on the Annual Energy Production (AEP) and how accurate it can be estimated. High quality input data for modeling the AEP is valuable for the wind energy industry prior to wind farm construction.
WindSight is a suite of novel EO-based products for characterization of the land surface roughness and topography anywhere in the world. Together with state-of-the-art flow modeling tools for wind energy planning and prospecting, WindSight can replace current procedures for land surface characterization, which are based on manual assessment, coarse global data sets, or costly airborne measurement campaigns.
Provisioning of EO based data sets for wind energy planning must be sustainable. To achieve this, end user requirements at different stages of a wind farm project cycle need to be fully understood and taken into account. Co-creation is the ideal pathway to delivering a service tailored specifically to the needs of each user type.
/ Objectives
- Mapping the requirements and the willingness to pay for data at different stages of land based wind farm planning.
- Establish co-creation cycles with end users from the wind energy industry.
- Develop a sustainable business case for the provisioning of EO data and derived products over land to the wind energy industry.
/ Partners
DHI GRAS A/S (Denmark), Technical University of Denmark, Denmark (DTU)
/ Key Users
Key users to be involved in the pilot:
- Wind farm developers
- Investors
- Turbine manufacturers
- Consultants
/ Key Datasets
- Copernicus data
/ ID Card
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Acknowledgment
The e-shape project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 820852