دورية أكاديمية

Study on the Motion Characteristics of 10 MW Superconducting Floating Offshore Wind Turbine Considering 2nd Order Wave Effect.

التفاصيل البيبلوغرافية
العنوان: Study on the Motion Characteristics of 10 MW Superconducting Floating Offshore Wind Turbine Considering 2nd Order Wave Effect.
المؤلفون: Yu, Youngjae1 (AUTHOR) yx6864@ulsan.ac.kr, Pham, Thanh Dam2,3 (AUTHOR) phtdam@gmail.com, Shin, Hyunkyoung1 (AUTHOR) hkshin@ulsan.ac.kr, Ha, Kwangtae1 (AUTHOR) kwangtaeha@ulsan.ac.kr
المصدر: Energies (19961073). Oct2021, Vol. 14 Issue 19, p6070-6070. 1p.
مصطلحات موضوعية: *WIND power, *WIND turbines, *ALTERNATIVE fuels, *RENEWABLE energy sources, *FOSSIL fuels, *OCEAN engineering, *AERODYNAMIC load
مستخلص: Recently, several countries have made commitments to move to a net-zero emission by the year 2050 in a response to climate change. Among various renewable energy systems to realize the target, wind energy system has been gaining much attention as a favorable alternative source to fossil fuel energy. In particular, many floating offshore wind turbines (FOWT) are expected to be installed because of vast installation resources without water depth limit conditions, stable and strong wind resources, relatively low constraints on noise emission, and space restriction compared to onshore wind turbines. In this study, a 10 MW superconducting floating offshore wind turbine was modeled with a 1/90 scale ratio and was experimentally tested at the Ocean Engineering Widetank of the University of Ulsan. The model calibration of the scaled model was performed with free decay test and showed a good correlation with simulation results calculated from FAST V8 of NREL. The motion characteristics of the 10 MW superconducting FOWT semi-submersible type platform was investigated under regular waves and irregular waves through the comparison of model test data and simulation results. The study on the motion characteristics of the model showed that the simulation considering the 2nd order wave effects to hydrodynamic forces and moments provided better accuracy close to the model test data. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:19961073
DOI:10.3390/en14196070