IEA Wind Task 32: Best Practices for the Certification of Lidar-Assisted Control Applications
- Univ. of Stuttgart, Stuttgart (Germany). Stuttgart Wind Energy
- DNV GL Renewables Certification, Hovik (Norway)
- Univ. of Stuttgart, Stuttgart (Germany). Sowento
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
Lidar-assisted control is a promising technology for reducing structural loads on wind turbines. Guidelines for certifying wind turbines with this technology are important for its widespread adoption. As a first step, an IEA Wind Task 32 workshop was held, bringing together wind turbine manufacturers, lidar suppliers, certifiers, consultants, and researchers to identify barriers to certification with lidar-assisted control and ideas for mitigating the barriers. Here this paper builds on the outcome of the workshop by providing an analysis of the areas affected and the remaining challenges. Further, initial best practices are given to address the challenges, covering the lidar system, control and protection systems, design loads, and type testing.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1479633
- Report Number(s):
- NREL/JA--5000-71989
- Journal Information:
- Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 1102; ISSN 1742-6588
- Publisher:
- IOP PublishingCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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