Project Details
Description
This cross-cutting activity is designed to enhance collaboration and innovation in the field of Leading Edge Erosion (LEE) research within our department. The initiative aims to unite researchers across various sections and divisions, fostering a more integrated approach to tackling the challenges associated with LEE. By leveraging internal synergies, the project seeks to reinforce DTU’s position as a global leader in LEE research and to support the development of future research proposals and industrial collaborations.
Deliverables include regular coordination meetings among participating researchers, the publication of a scientific paper, the development of the AEP estimation tool, a detailed specification for a rain erosion tester, and the distribution of two newsletters to industry partners involved in the LEE centre. These outputs are intended to not only advance scientific understanding but also to strengthen the bridge between academia and industry in addressing LEE challenges.
Deliverables include regular coordination meetings among participating researchers, the publication of a scientific paper, the development of the AEP estimation tool, a detailed specification for a rain erosion tester, and the distribution of two newsletters to industry partners involved in the LEE centre. These outputs are intended to not only advance scientific understanding but also to strengthen the bridge between academia and industry in addressing LEE challenges.
Key findings
A detailed specification for a rain erosion tester, a peer-reviewed scientific paper: Aerodynamic effects of leading-edge erosion in wind farm flow modeling, and a Python version of the AEP prediction tool SALT
Layman's description
This project brings together researchers from different parts of DTU to work on a common problem: the damage that wind turbine blades suffer from rain and weather, known as Leading Edge Erosion (LEE). This kind of damage can reduce how much energy turbines produce and increase maintenance costs.
The goal is to share knowledge, develop new tools, and work more closely with industry to find better solutions. The team created a software tool to estimate how much energy is lost due to this erosion, wrote a scientific paper, and even designed a new testing device. They also sent out newsletters to keep industry partners informed and involved.
The goal is to share knowledge, develop new tools, and work more closely with industry to find better solutions. The team created a software tool to estimate how much energy is lost due to this erosion, wrote a scientific paper, and even designed a new testing device. They also sent out newsletters to keep industry partners informed and involved.
| Short title | CCA for LEE |
|---|---|
| Acronym | CCA LEE |
| Status | Finished |
| Effective start/end date | 20/06/2022 → 31/12/2022 |
Keywords
- Leading Edge Erosion (LEE)
- Rain erosion
- Wind turbine blades
- Cross-disciplinary collaboration
- Energy production loss
- Python tool
- Annual Energy Production (AEP)
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