Power Output Prediction for LM Wind Turbine Blade using Blade Element Momentum Theory and GH Bladed Software

被引:0
|
作者
Augusto, G. [1 ]
Culaba, A. [1 ]
Chen, W. [2 ]
机构
[1] De La Salle Univ, Dept Mech Engn, Manila, Philippines
[2] Natl Cheng Kung Univ, Dept Aeronaut & Astronaut, Tainan, Taiwan
关键词
D O I
10.1088/1755-1315/268/1/012098
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The blade element momentum theory with Prandtl's tip loss and Glauert's correction factors was utilized to compute the power coefficient and to predict the power output of LM rotor blade as a function of hub wind speed ranging from 3 m/s to 25 m/s. The blade length is 43.8 m and consists of five (5) different airfoils. The design tip speed ratio is 8.65 suitable for Class IIA wind turbine which can generate a capacity of 2.5 MW at rated speed of 16 rpm using permanent magnet direct-drive wind turbine generator. The thrust force and driving force profiles in terms of dimensionless blade length as well as the power coefficient and predicted power output were examined and compared with the theoretical equations derived from GH Bladed. Numerical results indicate that there are some degrees of similarities with GH Bladed software output having a maximum power coefficient of 0.49.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Optimizing of horizontal axis wind turbine blades using MATLAB-based blade element momentum theory with validation in QBlade and CFD software
    Abbas, Wissam K.
    Abbasalizadeh, Majid
    Khalilarya, Shahram
    WIND ENGINEERING, 2024,
  • [22] Tidal turbine blade design optimization based on coupled deep learning and blade element momentum theory
    Li, Changming
    Liang, Bingchen
    Yuan, Peng
    Liu, Bin
    Zhao, Ming
    Zhang, Qin
    Tan, Junzhe
    Liu, Jiahua
    PHYSICS OF FLUIDS, 2024, 36 (05)
  • [23] Comparison of the Blade Element Momentum Theory with Computational Fluid Dynamics for Wind Turbine Simulations in Turbulent Inflow
    Ehrich, Sebastian
    Schwarz, Carl Michael
    Rahimi, Hamid
    Stoevesandt, Bernhard
    Peinke, Joachim
    APPLIED SCIENCES-BASEL, 2018, 8 (12):
  • [24] Comparison of synthetic turbulence approaches for blade element momentum theory prediction of tidal turbine performance and loads
    Togneri, Michael
    Pinon, Gregory
    Carlier, Clement
    Bex, Camille Choma
    Masters, Ian
    RENEWABLE ENERGY, 2020, 145 : 408 - 418
  • [25] Actuator disk theory and blade element momentum theory for the force-driven turbine
    Hou, Hongbo
    Shi, Weichao
    Xu, Yunxin
    Song, Yang
    OCEAN ENGINEERING, 2023, 285
  • [26] Nonlinear aeroelastic modelling for wind turbine blades based on blade element momentum theory and geometrically exact beam theory
    Wang, Lin
    Liu, Xiongwei
    Renevier, Nathalie
    Stables, Matthew
    Hall, George M.
    ENERGY, 2014, 76 : 487 - 501
  • [27] A Comparison of a Three Blade and Five Blade Wind Turbine in Terms of the Mechanical Properties Using the Q-Blade Software
    Zidane, Othman K.
    Mahmood, YaseenH.
    BAGHDAD SCIENCE JOURNAL, 2024, 21 (09) : 3003 - 3012
  • [28] Power Estimation of an Experimental Ocean Current Turbine Based on the Conformal Mapping and Blade Element Momentum Theory
    Sadeqi, S.
    Xiros, N.
    Aktosun, E.
    VanZwieten, J.
    Sultan, C.
    Ioup, J.
    Rouhi, S.
    PROCEEDINGS OF ASME 2021 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION (IMECE2021), VOL 7B, 2021,
  • [29] Aeroelastic stability analysis of a wind turbine blade section with trailing edge flap using a flexible unsteady blade elements momentum theory
    Shams, Shahrokh
    Lavasani, Reza Esbati
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2019, 41 (08)
  • [30] Aeroelastic stability analysis of a wind turbine blade section with trailing edge flap using a flexible unsteady blade elements momentum theory
    Shahrokh Shams
    Reza Esbati Lavasani
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019, 41