Cross-comparative analysis of loads and power of pitching floating offshore wind turbine rotors using frequency-domain Navier-Stokes CFD and blade element momentum theory
Cross-comparative analysis of loads and power of pitching floating offshore wind turbine rotors using frequency-domain Navier-Stokes CFD and blade element momentum theory
复制标题
利用频域纳维-斯托克斯 CFD 和叶片单元动量理论对变桨距浮式海上风力发电机转子载荷和功率进行交叉比较分析
DOI:
10.1088/1742-6596/1618/5/052016
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Ortolani A
中科院分区:
文献类型:
--
作者:
Ortolani A
Reliable predictions of the aero-and hydrodynamic loads acting on floating offshore wind turbines are paramount for assessing fatigue life, designing load and power control systems, and ensuring the overall system stability at all operating conditions. However, significant uncertainty affecting both predictions still exists. This study presents a cross-comparative analysis of the predictions of the aerodynamic loads and power of floating wind turbine rotors using a validated frequency-domain Navier-Stokes Computational Fluid Dynamics solver, and a state-of-the-art Blade Element Momentum theory code. The considered test case is the National Renewable Energy Laboratory 5 MW turbine, assumed to be mounted on a semi-submersible platform. The rotor load and power response at different pitching regimes is assessed and compared using both the high-and low-fidelity methods. The overall qualitative agreement of the two prediction sets is found to be excellent in all cases. At a quantitative level, the high-and low-fidelity predictions of both the mean rotor thrust and the blade out-of-plane bending moments differ by about 1 percent, whereas those of the mean rotor power differ by about 6 percent. Part of these differences at high pitching amplitude appear to depend on differences in dynamic stall predictions of the approaches.
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影响因子:
3.2
作者:
T. Pham;Hyunkyoung Shin
通讯作者:
Hyunkyoung Shin
DOI:
10.1115/gt2014-25562
发表时间:
2014
期刊:
--
影响因子:
--
作者:
Campobasso M
通讯作者:
Campobasso M
DOI:
--
发表时间:
2018
期刊:
Journal of Physics: Conference Series
影响因子:
--
作者:
N. N. Sørensen;F. Bertagnolio;Eva Jost;Thorsten Lutz
通讯作者:
Thorsten Lutz
DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
S. G. Horcas;F. Debrabandere;B. Tartinville;C. Hirsch;G. Coussement
通讯作者:
G. Coussement
影响因子:
4.1
作者:
Jason C. Howison;K. Ekici
通讯作者:
K. Ekici