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A Method for Quantifying Wind Turbine Leading Edge Roughness and its Influence on Energy Production: LER2AEP
This work propose a method for calculating the Annual Energy Production (AEP) of wind turbine generators that suffers from blade contamination and/or erosion. The calculations are based on 3D reconstructions of the blade surface acquired by an autonomous drone and post processed by a combination of commercial software and algorithms developed in this project. This Ph.D. work has been part of a project where several partners have taken part in providing the knowledge to obtain the chain from measuring the Leading Edge Roughness (LER) to predicting the Annual Energy Production (AEP) to establish the elements for the Leading Edge Roughness to Annual Energy Production (LER2AEP) method as shown in the title of this thesis. The primary objectives of this Ph.D. was to collect information from the different project parties and research and develop a method for estimating the aerodynamics of contaminated and/or eroded wind turbine blades. This thesis will give an overview of the ideas, processes and findings within measurements, 3D reconstruction and the autonomous drone system as well as more in depth descriptions of the methods for estimating the aerodynamic penalty for contaminated and/or eroded wind turbine blades followed by a method for transferring these penalties to changes in the energy production of the wind turbine. Most resources in the Ph.D. has been put into research of methods to simulate and measure the aerodynamic performance of airfoils subjected to contamination and/or erosion. The NACA 63 3 -418 airfoil has been used as a baseline throughout the research. Validation of simulation models was based on measurements from two wind tunnels with a series of different disturbances on the surface emulating the presence of contamination or erosion. Two methods for computer aided simulation of these disturbances were presented. A study of which disturbance parameters had the most influence on aerodynamics was made with both simulations and by measurements in the Poul la Cour Tunnel at DTU Wind Energy. The ...
A Method for Quantifying Wind Turbine Leading Edge Roughness and its Influence on Energy Production: LER2AEP
This work propose a method for calculating the Annual Energy Production (AEP) of wind turbine generators that suffers from blade contamination and/or erosion. The calculations are based on 3D reconstructions of the blade surface acquired by an autonomous drone and post processed by a combination of commercial software and algorithms developed in this project. This Ph.D. work has been part of a project where several partners have taken part in providing the knowledge to obtain the chain from measuring the Leading Edge Roughness (LER) to predicting the Annual Energy Production (AEP) to establish the elements for the Leading Edge Roughness to Annual Energy Production (LER2AEP) method as shown in the title of this thesis. The primary objectives of this Ph.D. was to collect information from the different project parties and research and develop a method for estimating the aerodynamics of contaminated and/or eroded wind turbine blades. This thesis will give an overview of the ideas, processes and findings within measurements, 3D reconstruction and the autonomous drone system as well as more in depth descriptions of the methods for estimating the aerodynamic penalty for contaminated and/or eroded wind turbine blades followed by a method for transferring these penalties to changes in the energy production of the wind turbine. Most resources in the Ph.D. has been put into research of methods to simulate and measure the aerodynamic performance of airfoils subjected to contamination and/or erosion. The NACA 63 3 -418 airfoil has been used as a baseline throughout the research. Validation of simulation models was based on measurements from two wind tunnels with a series of different disturbances on the surface emulating the presence of contamination or erosion. Two methods for computer aided simulation of these disturbances were presented. A study of which disturbance parameters had the most influence on aerodynamics was made with both simulations and by measurements in the Poul la Cour Tunnel at DTU Wind Energy. The ...
A Method for Quantifying Wind Turbine Leading Edge Roughness and its Influence on Energy Production: LER2AEP
Kruse, Emil Krog (Autor:in)
01.01.2019
Kruse , E K 2019 , A Method for Quantifying Wind Turbine Leading Edge Roughness and its Influence on Energy Production: LER2AEP . DTU Wind Energy PhD , DTU Wind Energy , Roskilde, Denmark .
Buch
Elektronische Ressource
Englisch
DDC:
690
American Institute of Physics | 2019
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