A modified Beddoes-Leishman dynamic stall model for wind turbine applications

Dynamic stall is phenomenon that plays a role in many applications such as helicopter or wind turbine aerodynamics. Proper modelling of unsteady lift, drag, and pitching moment characteristics of an airfoil undergoing dynamic stall can help to give more accurate performance predictions, but has turn...

Full description

Saved in:
Bibliographic Details
Main Author: Reinecke, Arne
Other Authors: Chua Leok Poh
Format: Theses and Dissertations
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74184
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-74184
record_format dspace
spelling sg-ntu-dr.10356-741842023-03-11T18:05:37Z A modified Beddoes-Leishman dynamic stall model for wind turbine applications Reinecke, Arne Chua Leok Poh School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Alternative, renewable energy sources DRNTU::Engineering::Aeronautical engineering::Aerodynamics DRNTU::Engineering::Mechanical engineering::Fluid mechanics Dynamic stall is phenomenon that plays a role in many applications such as helicopter or wind turbine aerodynamics. Proper modelling of unsteady lift, drag, and pitching moment characteristics of an airfoil undergoing dynamic stall can help to give more accurate performance predictions, but has turned out to be extremely challenging. The so-called Beddoes-Leishman models – based on indicial formulation with semi-empirical parameters – are considered current state-of-the-art and are incorporated in Blade Element Momentum as well as Vortex Wake Methods in codes for aerodynamic wind turbine analysis. These models contain empirical parameters and time constants that need to be determined manually by comparison to experimental data in a tedious, ’trial & error’ fashion. This thesis investigates the uses of numerical techniques to find optimal values for these parameters. An Evolutionary Strategy is employed optimizing the parameter set and thus, coming up with a parameter set that gives similar, if not better match to the experimental data than default values. Doctor of Philosophy (MAE) 2018-05-07T00:30:57Z 2018-05-07T00:30:57Z 2018 Thesis Reinecke, A. (2018). A modified Beddoes-Leishman dynamic stall model for wind turbine applications. Doctoral thesis, Nanyang Technological University, Singapore. http://hdl.handle.net/10356/74184 10.32657/10356/74184 en 250 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Alternative, renewable energy sources
DRNTU::Engineering::Aeronautical engineering::Aerodynamics
DRNTU::Engineering::Mechanical engineering::Fluid mechanics
spellingShingle DRNTU::Engineering::Mechanical engineering::Alternative, renewable energy sources
DRNTU::Engineering::Aeronautical engineering::Aerodynamics
DRNTU::Engineering::Mechanical engineering::Fluid mechanics
Reinecke, Arne
A modified Beddoes-Leishman dynamic stall model for wind turbine applications
description Dynamic stall is phenomenon that plays a role in many applications such as helicopter or wind turbine aerodynamics. Proper modelling of unsteady lift, drag, and pitching moment characteristics of an airfoil undergoing dynamic stall can help to give more accurate performance predictions, but has turned out to be extremely challenging. The so-called Beddoes-Leishman models – based on indicial formulation with semi-empirical parameters – are considered current state-of-the-art and are incorporated in Blade Element Momentum as well as Vortex Wake Methods in codes for aerodynamic wind turbine analysis. These models contain empirical parameters and time constants that need to be determined manually by comparison to experimental data in a tedious, ’trial & error’ fashion. This thesis investigates the uses of numerical techniques to find optimal values for these parameters. An Evolutionary Strategy is employed optimizing the parameter set and thus, coming up with a parameter set that gives similar, if not better match to the experimental data than default values.
author2 Chua Leok Poh
author_facet Chua Leok Poh
Reinecke, Arne
format Theses and Dissertations
author Reinecke, Arne
author_sort Reinecke, Arne
title A modified Beddoes-Leishman dynamic stall model for wind turbine applications
title_short A modified Beddoes-Leishman dynamic stall model for wind turbine applications
title_full A modified Beddoes-Leishman dynamic stall model for wind turbine applications
title_fullStr A modified Beddoes-Leishman dynamic stall model for wind turbine applications
title_full_unstemmed A modified Beddoes-Leishman dynamic stall model for wind turbine applications
title_sort modified beddoes-leishman dynamic stall model for wind turbine applications
publishDate 2018
url http://hdl.handle.net/10356/74184
_version_ 1761781290771677184