Wind energy is growing
– so are the challenges
State-of-art sensor technologies
The technical development will leverage state-of-the-art sensor technologies to a level not existing today, allowing for a significant reduction in the environmental impact of existing or future wind farms.
From detection to action
Where can you find suitable areas where the projects can be located without affecting the environment?
Wind turbines are proven to kill birds and bats along with having a negative impact on neighbours.
These are among the most common reasons for rejection of wind farm projects or frequent cause to operational restrictions through shut-down requirements.
When new wind turbine installations are being planned studies must be conducted to understand the potential impacts of wind farms on local birdlife.
Often, some limitations are imposed on the wind turbine operation to protect birdlife.
There is a solution
Nordic Radar Solutions is together with our partners Chalmers University (Sweden), GEOsat (Germany), DHI (Denmark) and Circle Consult (Denmark), developing a cost-effective multi sensor system for automated bird detection and species recognition in wind farms.
Our Wind Turbine Bird Strike Avoidance system (WITURBISA) will through integration with the wind farms’ Supervisory Control and Data Acquisition (SCADA) systems perform automated sensor-assisted shutdown of wind turbines based on the prediction of harmful interactions with endangered birdlife, representing an enabler for wind energy in locations where birdlife is an obstacle. Most optimal locations for wind farms are already being exploited and the remaining options have an inopportune high presence of birdlife. WITURBISA will radically improve wind farms’ ability to avoid this interaction by increasing their response time, minimizing curtailments and reducing costs, allowing wind energy to realize its full commercial potential
The WITURBISA aims to integrate high accuracy sensors and advanced sensor fusion to build up a unique multisensor system capable of autonomously managing wind farms’ interaction with endangered birdlife, through detection, species identification and prediction of birds’ movements.
The autonomous evaluation of the risk of interaction will decide and initiate curtailment of only those wind turbines in the wind farms that could cause harm to the approaching birds.
Real time monitoring
It will do so by enabling real time monitoring of birdlife, including autonomous decision-making or, in case where there is an operator, with clear and unambiguous decision support. The main system is consisting of software and hardware integrating
- Radar sensor (RS) responsible for delivering detailed spatial formation, trajectory patterns, estimate of bird counts and physical separation in 3D.
- Camera sensors (CS) responsible for the video-based recognition of bird species through deep learning algorithms.
- Sensor Fusion responsible for sensor/data fusion between the different sensors.
- Interface between WITURBISA and WF’s SCADA system, enabling automated wind turbine’s curtailment.
between WITURBISA and WF’s SCADA system, enabling automated wind turbine’s curtailment.