NUMERICAL SIMULATION ON WIND TURBINE DESIGN QUALITY IMPROVEMENT

風力機設計品質改進之數值模擬

孔光源(Kuang-Yuan Kung) ； 陳俊良(Jun-Liang Chen) ； 許政行(Cheng-Hsing Hsu) ； 袁暄期(Shan-Chi Yuan)

《品質學報》 28卷3期 (2021/06) Pp. 171-179

https://doi.org/10.6220/joq.202106_28(3).0002

摘要

A new approach is based on solving solid-fluid interaction and stimulates real-time six degrees of freedom (6DOF) properties for a wind turbine, helping wind energy engineers evaluate some critical wind turbine properties and performance qualities with 6DOF properties always logged by Ansys Fluent solver. The widely applying methodologies, such as the momentum analysis theory and the blade element momentum theory, can virtually evaluate power generation and verify maximum angular velocity from Ansys Fluent. Some mean wind speeds (from 10 mph to 35 mph, with five mph increment) are set as driving wind fields. Offshore observation and statistical analysis for the average stratospheric condition are the based time-variant boundary conditions. Unsteady and periodic wind fields are designed with a 14% fluctuation about mean wind speeds and four or eight seconds in the sinusoidal period. The simulation results show that there exist similarities about the angular velocities and accelerations of the turbine rotor when various kinds of wind fields driving the rotor from stationary to steady operation.

關鍵字

horizontal axis wind turbine ； periodic wind speed ； user-define function ； dynamic mesh

並列摘要

為加快風機設計時程並提升設計品質，本研究為風能工程師提供一種新的數值模擬方法。本方法乃是基於求解風機轉子旋轉時之固體—流體交互作用以提供實時之風力機六自由度（six degrees of freedom, 6DOF）之性質。驅動風場的平均風速設定為10～35 mph。由近海岸觀測數據所得知統計資料得知風場風速應為時變現象。週期性不穩定風場之變動幅度為平均風速的14％，變動頻率為4秒與8秒，以正弦波形模擬之。模擬的結果亦發現，風力機轉子的角速度與角加速度呈現出相似性。

並列關鍵字

水平軸風力機 ； 週期性風速 ； 使用者定義函數 ； 動態格點

參考文獻

Kondo, J., Fujinawa, Y. and Naito, G., 1972, Wave-induced wind fluctuation over the sea, Journal of Fluid Mechanics, 51(4), 751-771. doi:10.1017/S002211207200134X

Lanzafame, R., Mauro, S. and Messina, M., 2013, Wind turbine CFD modeling using a correlation-based transitional model, Renewable Energy, 52, 31-39. doi:10.1016/j.renene.2012.10.007

Rodrigues, R. A. and Lengsfeld, C., 2019a, Development of a computational system to improve wind farm layout, part I: model validation and near wake analysis, Energies, 12(5), 940. doi:10.3390/en12050940

Rodrigues, R. A. and Lengsfeld, C., 2019b, Development of a computational system to improve wind farm layout, part II: wind turbine wake interaction, Energies, 12(7), 1328. doi:10.3390/en12071328

Shu, L.-C., Li, H.-T., Hu, Q., Jiang, X.-L., Qiu, G., He, G.-H., et al., 2018, 3D numerical simulation of aerodynamic performance of iced contaminated wind turbine rotor, Cold Regions Science and Technology, 148, 50-62. doi:10.1016/j.coldregions.2018.01.008