The effects of blade structural model fidelity on wind turbine load analysis and computation time

被引:18
|
作者
Gozcu, Ozan [1 ]
Verelst, David R. [1 ]
机构
[1] Tech Univ Denmark DTU, DTU Wind Energy, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
关键词
Aerodynamics - Cost benefit analysis - Structural analysis - Turbine components - Wind turbine blades;
D O I
10.5194/wes-5-503-2020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Aero-servo-elastic analyses are required to determine the wind turbine loading for a wide range of load cases as specified in certification standards. The floating reference frame (FRF) formulation can be used to model the structural response of long and flexible wind turbine blades. Increasing the number of bodies in the FRF formulation of the blade increases both the fidelity of the structural model and the size of the problem. However, the turbine load analysis is a coupled aero-servo-elastic analysis, and computation cost not only depends on the size of the structural model, but also depends on the aerodynamic solver and the number of iterations between the solvers. This study presents an investigation of the performance of the different fidelity levels as measured by the computational cost and the turbine response (e.g., blade loads, tip clearance, tower-top accelerations). The analysis is based on aeroelastic simulations for normal operation in turbulent inflow load cases as defined in a design standard. Two 10 MW reference turbines are used. The results show that the turbine response quickly approaches the results of the highest-fidelity model as the number of bodies increases. The increase in computational costs to account for more bodies can almost entirely be compensated for by changing the type of the matrix solver from dense to sparse.
引用
下载
收藏
页码:503 / 517
页数:15
相关论文
共 50 条
  • [21] Structural efficiency of a wind turbine blade
    Buckney, Neil
    Pirrera, Alberto
    Green, Steven D.
    Weaver, Paul M.
    THIN-WALLED STRUCTURES, 2013, 67 : 144 - 154
  • [22] Structural analysis of composite wind turbine blade using advanced beam model approach
    Balakumaran Natarajan
    Jaehwan Lee
    Jaehoon Lim
    SangJoon Shin
    International Journal of Precision Engineering and Manufacturing, 2012, 13 : 2245 - 2250
  • [23] Structural Analysis of Composite Wind Turbine Blade using Advanced Beam Model Approach
    Natarajan, Balakumaran
    Lee, Jaehwan
    Lim, Jaehoon
    Shin, SangJoon
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2012, 13 (12) : 2245 - 2250
  • [24] Design and Structural Analysis of Large Composite Wind Turbine Blade
    Sun Pengwen
    Wu Sheng
    Gao Yongguang
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 3312 - 3315
  • [25] Structural Analysis of a Roof Extracted from a Wind Turbine Blade
    Gentry, T. Russell
    Al-Haddad, Tristan
    Bank, Lawrence C.
    Arias, Franco R.
    Nagle, Angela
    Leahy, Paul
    JOURNAL OF ARCHITECTURAL ENGINEERING, 2020, 26 (04)
  • [26] Structural Analysis of a Roof Extracted from a Wind Turbine Blade
    Gentry, T. Russell
    Al-Haddad, Tristan
    Bank, Lawrence C.
    Arias, Franco R.
    Nagle, Angela
    Leahy, Paul
    Journal of Architectural Engineering, 2020, 26 (04):
  • [27] Structural analysis of composite wind turbine blade using ANSYS
    Gukendran, R.
    Sambathkumar, M.
    Sabari, C.
    Raj, C. R. Ranjith
    Kumar, V. Ranjeeth
    MATERIALS TODAY-PROCEEDINGS, 2022, 50 : 1011 - 1016
  • [28] Multi-fidelity digital twin structural model for a sub-scale downwind wind turbine rotor blade
    Chetan, Mayank
    Yao, Shulong
    Griffith, D. Todd
    WIND ENERGY, 2021, 24 (12) : 1368 - 1387
  • [29] Design of a wind turbine swept blade through extensive load analysis
    Pavese, Christian
    Kim, Taeseong
    Murcia, Juan Pablo
    RENEWABLE ENERGY, 2017, 102 : 21 - 34
  • [30] Fatigue load calculation and analysis of the blade of horizontal axis wind turbine
    Institute of Energy Science, Shantou University, Shantou 515063, China
    Chen, Y. (ychen@stu.edu.cn), 1600, Science Press (34):