About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

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

From

Wind turbine loads & control, Department of Wind Energy, Technical University of Denmark1

Department of Wind Energy, Technical University of Denmark2

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.

Language: English
Publisher: Copernicus Publications
Year: 2020
Pages: 503-517
ISSN: 23667451 and 23667443
Types: Journal article
DOI: 10.5194/wes-5-503-2020
ORCIDs: Verelst, David R. and Gözcü, Ozan

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis