- Category: Articles
What Is the Industry Willing to Accept to Confront It?
Floating lidar systems have revolutionised the offshore wind industry by enabling the bankability of projects at a fraction of the original cost – successful wind resource assessment campaigns are essential for the economic viability of the wind farm development process. However, one parameter measured in such campaigns – turbulence intensity – is at the centre of debate. Its accuracy, with respect to the traditional definition, is known for not reaching industry standard levels, representing a serious problem because of the lack of consensus within the industry on how to address and solve this matter. The complexity of this phenomenon means that there is no optimal solution. Several suboptimal alternatives are currently under development, but there is not yet a clear picture of which is the right option. However, this might be about to change.
By Adrià Miquel and Giacomo Rapisardi, Eolos Floating Lidar Solutions, Spain
- Category: Articles
Data Availability Impacts Uncertainty of Long-Term Corrected Wind Surprisingly Little
According to common guidelines for the evaluation of site-specific wind conditions, a measurement campaign should have at least 90% data availability during a consecutive 12-month period in order to be complete. However, obtaining this high data availability with a Doppler lidar can be a challenge in locations with small amounts of atmospheric aerosols, for example in the Nordic countries or mountainous regions. Regardless of the lower data availability, the data measured in these locations can still hold valuable information that can be used to reduce uncertainties in a wind resource assessment. Therefore, we suggest that instead of discarding data with less than 90% data availability, the uncertainties due to the lower lidar data availability should be quantified and considered in the wind resource assessment. This is in line with the upcoming IEC framework for the assessment and reporting of the wind resource and energy yield.
By Pyry Pentikäinen, Adviser, Kjeller Vindteknikk, Finland
- Category: Articles
Windborne to Identify Yaw Misalignments Across a Large Fleet of Wind Turbines
According to a technical report by the National Renewable Energy Laboratory (referring to the multi-year Wind Plant Performance Prediction project), modern wind power plants in the United States were underperforming in their expected annual energy output by 3.5%–4.5%.’ [1] There are many potential causes of wind turbine underperformance. Among these are forms of underperformance caused by rotor-disrupted and/or poorly calibrated nacelle-based wind sensors that in turn feed inaccurate wind data to core wind turbine systems.
By Itay Mor, Boaz Peled, Alex Alpert, and Guy Yakir at First Airborne, Israel
- Category: Articles
Using Drone Data to Calculate Blade Erosion AEP Loss
It is well-known that blade surface degradation, especially leading-edge erosion, leads to increased risk for turbine operators. The operational risk consists of structural and aerodynamic components, and both should be considered when planning the most effective site-specific operations and maintenance strategy.
By Nicholas Gaudern, Chief Technology Officer, PowerCurve, Denmark
- Category: Articles
![WindCube Scan scanning lidar in Gansu, China CARRERI province Gansu China provine Hebei2](/images/stories/Features/2024Features/MayJune24Images/CARRERI_province-Gansu_China_provine-Hebei2.jpg)
- Category: Articles
![Figure 1. Example of damage missed by a blade expert but detected by AI Perceptual Robotics FIg 1 image20wp24 crop bbox](/images/stories/Features/2024Features/MayJune24Images/Perceptual-Robotics-FIg-1-image20wp24_crop_bbox.jpg)
- The Sound of Leading Edge Erosion
- When Over How Much
- Can Sensing Technology Improve Cable Monitoring?
- Leveraging Vibration Data and Artificial Intelligence in Wind Energy Management
- Advances in Wind Turbine Condition Monitoring and Wake Optimisation
- Electromagnetic Fields and Offshore Wind
- Drones Protect Rotor Blades from Icing
- Wind Farms and Marine Life
- Envisioning a Domestic Offshore Wind Workforce
- Pluggable System Solution for Control-Cabinet-Free Wind Turbines
- Predicting Annoyance from Wind Turbines by an Objective Measure
- Directional Noise-Reduced Operations (NROs)
- Microwave Technology for Blade Recycling
- Advancements in Wind Turbine Installation
- New Thinking for Power Performance Testing
- Capturing the Complex Physics Around Floating Wind Turbines
- Wind Energy and Air Density Measurement
- Reimagining Wind Energy with Lidar Technology
- SAR-Derived Kilometric Wind Resource Assessment
- Energy Transition by PyPSA-Earth Model
- Reducing Bat Curtailment Losses
- Quantum Optimisation for Wind Energy
- Aerosense Measurement System
- Innovative Capacitive Transfer System
- Tools for a Wind-Ready Grid
- Wind Turbine Upgrade Campaigns
- Thermographic Inspection of Wind Turbines with Artificial Intelligence
- Aerodynamic Impact of Erosion
- Financial Viability of Floating Wind
- OSDU Forum Supporting Wind Data
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