California Offshore Wind Resource Bias Investigation and Correction [Slides]
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
This presentation highlights the findings of an investigation into the causes of high wind speed bias in offshore California's 20-year wind resource dataset, CA20, released by the National Renewable Energy Laboratory (NREL) in 2020. Utilizing observations from floating lidars deployed by the Pacific Northwest National Laboratory (PNNL), considerable bias in modeled hub-height winds was identified. The study reveals that the choice of planetary boundary layer (PBL) scheme significantly impacts wind speed accuracy, with the less common Yonsei University (YSU) scheme nearly eliminating bias compared to the widely used Mellor-Yamada-Nakanishi-Niino (MYNN) scheme. Furthermore, it shows that one of the key factors contributing to this modeled bias is the fact that MYNN overestimates the frequency of stable atmospheric conditions in offshore California. As a result, an updated dataset, NOW-23, incorporating YSU as the PBL scheme, has been produced.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; U.S. Department of Interior, Bureau of Ocean Energy Management (BOEM)
- DOE Contract Number:
- AC36-08GO28308;
- OSTI ID:
- 2335498
- Report Number(s):
- NREL/PR--5000-88891; MainId:89670; UUID:d4cf99ac-f8e5-43ae-a04d-cdb3c62ae33b; MainAdminId:72259
- Country of Publication:
- United States
- Language:
- English
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