In this work, a combined concept called Spar-Toru-Combination (STC) involving a spar-type floating wind turbine (FWT) and an axi-symmetric two-body wave energy converter (WEC) is considered. From the views of both long-term fatigue damage prediction of the mooring lines and the annual energy production estimation, a coupled analysis of wind-wave induced long-term stochastic responses has been performed using the SIMO-TDHMILL code in the time domain, which includes 79200 one-hour short term cases (the combination of 22 selected mean wind speeds * 15 selected significant wave heights * 12 selected spectral peak wave periods * 20 random seeds). The hydrodynamic loads on the Spar and Torus are estimated using potential theory, while the aerodynamic loads on the wind rotor are calculated by the validated simplified thrust force model in the TDHMILL code. Considering the long-term wind-wave joint distribution in the northern North Sea, the annual fatigue damage of the mooring line for the STC system is obtained by using the S-N curve approach and Palmgren-Miner’s linear damage hypothesis. In addition, the annual wind and wave power productions are also obtained by using hourly mean output power for each short-term condition and the joint wind-wave distribution.
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ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering
June 8–13, 2014
San Francisco, California, USA
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-4553-0
PROCEEDINGS PAPER
Long-Term Stochastic Dynamic Analysis of a Combined Floating Spar-Type Wind Turbine and Wave Energy Converter (STC) System for Mooring Fatigue Damage and Power Prediction
Nianxin Ren,
Nianxin Ren
Norwegian University of Science and Technology, Trondheim, Norway
Dalian University of Technology, Dalian, China
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Zhen Gao,
Zhen Gao
Norwegian University of Science and Technology, Trondheim, Norway
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Torgeir Moan
Torgeir Moan
Norwegian University of Science and Technology, Trondheim, Norway
Search for other works by this author on:
Nianxin Ren
Norwegian University of Science and Technology, Trondheim, Norway
Dalian University of Technology, Dalian, China
Zhen Gao
Norwegian University of Science and Technology, Trondheim, Norway
Torgeir Moan
Norwegian University of Science and Technology, Trondheim, Norway
Paper No:
OMAE2014-23438, V09AT09A026; 9 pages
Published Online:
October 1, 2014
Citation
Ren, N, Gao, Z, & Moan, T. "Long-Term Stochastic Dynamic Analysis of a Combined Floating Spar-Type Wind Turbine and Wave Energy Converter (STC) System for Mooring Fatigue Damage and Power Prediction." Proceedings of the ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. Volume 9A: Ocean Renewable Energy. San Francisco, California, USA. June 8–13, 2014. V09AT09A026. ASME. https://doi.org/10.1115/OMAE2014-23438
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