Influence of met-ocean data integrity on the dynamic performance optimization of floating offshore wind turbines

Shengtao Zhou; Chao Li; Yiqing Xiao; Wenyuan Xiang; Qing Sun

doi:10.1117/12.2685031

19 October 2023 Influence of met-ocean data integrity on the dynamic performance optimization of floating offshore wind turbines

Shengtao Zhou, Chao Li, Yiqing Xiao, Wenyuan Xiang, Qing Sun

Author Affiliations +

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127091L (2023) https://doi.org/10.1117/12.2685031
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Applying optimization techniques to hull shape and mooring configuration designs has become an effective way to reduce the life-cycle cost of a floating offshore wind turbine (FOWT). This paper aims to investigate the influence of met-ocean data integrity on the FOWT dynamic performance optimization. Two optimization loops with different levels of met-ocean integrity are set up. In the first loop, the FOWT dynamic performance is evaluated by the long-term response indicators, e.g. the lifetime accumulative fatigue damage at tower. The long-term responses are predicted based on an integrated 25- year met-ocean database which includes 73000 3-hour wind and wave data. In the second loop, the dynamic performance is evaluated by the short-term responses, which are predicted based on the simplified met-ocean data. It includes 41 representative load cases that are selected from the 25-year database. Both loops employ the NSGA-II multi-objective optimization algorithm to find out the Pareto designs that have the best trade-off between dynamic performance and manufacturing cost. By comparing the two optimization results, it is found that the Pareto designs of the first loop tend to have a smaller tower base fatigue than the second. The first loop has smaller mooring fatigue in the high manufacturing cost region, while an opposite trend is seen in the low cost region. These findings demonstrate the importance of metocean data integrity to FOWT optimization.

Citation Download Citation

Shengtao Zhou, Chao Li, Yiqing Xiao, Wenyuan Xiang, and Qing Sun "Influence of met-ocean data integrity on the dynamic performance optimization of floating offshore wind turbines", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127091L (19 October 2023); https://doi.org/10.1117/12.2685031

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Source mask optimization

Material fatigue

Aerodynamics

Manufacturing

Mathematical optimization

Wind turbine technology

Wind speed

Keywords/Phrases

Search In:

Publication Years