The Blue Growth Farm (TBGF) is a project founded by the European Union program, Horizon 2020. The goal is to develop and design an automated multifunctional platform with low environmental impact for aquaculture to be installed in the open sea. This thesis is part of the defined project and deals with the preliminary aerodynamic study of the wind turbine blade that will be housed on the platform, designed on the characteristics of the reference wind turbine DTU 10MW. The work originates from a 2D aerodynamic study that focuses on the analysis of the SG6040 profile characterizing the geometry of the blade. It goes on with an analysis on the 3D model, which is conducted with three different types of approach to the problem. One is a numerical study using the Matlab calculation program, developing a code, based on data obtained from Xfoil, which through numerical integration allows to describe the behaviour of the blade. Another method is through computational fluid dynamics analysis, with the use of OpenFoam software. The last approach is the experimental one through a test campaign in the Wind Tunnel. The results collected during the experimental tests are compared with what was expected with the other numerical models and, according to the differences observed, the degree of accuracy of the methods used in predicting loads is analysed. In addition to this study, a reverse engineering procedure was carried out through Parametric Identification of the aerodynamic characteristics of the blade profiles, in which the experimental approach is combined with the numerical one. In this phase of the thesis work, starting from the data collected with the different methods, an application was created through Machine Learning that allows to predict the aerodynamic profiles of the blade in terms of Drag and Lift coefficients.
The Blue Growth Farm (TBGF) è un progetto fondato dal programma dell’Unione Europea, Horizon 2020. L’obiettivo è quello di sviluppare e progettare una piattaforma multifunzionale automatizzata a basso impatto ambientale per l’acquacoltura da installare in mare aperto. Questa tesi rientra nel progetto definito e si occupa dello studio aerodinamico preliminare della pala di turbina eolica che sarà alloggiata sulla piattaforma, progettata sulle caratteristiche della turbina eolica di riferimento DTU 10MW. Il lavoro ha origine da uno studio aerodinamico 2D che verte sull’analisi del profilo SG6040 caratterizzante la geometria della pala. Prosegue con un’analisi sul modello 3D, che viene condotto con tre differenti tipologie di approccio al problema. Uno è quello numerico mediante programma di calcolo Matlab, sviluppando un codice, basato su dati ricavati da Xfoil, che attraverso integrazione numerica permetta di descrivere il comportamento della pala. Un altro metodo è attraverso l’analisi fluidodinamica computazionale, con l’utilizzo del software OpenFoam. L’ultimo approccio è quello sperimentale attraverso una campagna di prove in Galleria del Vento. I risultati raccolti durante le prove sperimentali vengono confrontati con quanto previsto con gli altri modelli numerici e, a fronte delle differenze osservate, si analizza il grado di accuratezza dei diversi approcci nella previsione dei carichi. In aggiunta a questo studio è stata realizzata una procedura di reverse engineering attraverso Identificazione Parametrica delle caratteristiche aerodinamiche dei profili di pala, in cui l’approccio sperimentale si coniuga con quello numerico. In questa fase dello studio partendo dai dati raccolti con i diversi metodi si è creato un applicativo attraverso il Machine Learning che permetta di predire i profili aerodinamici della pala in termini di coefficienti di Drag e Lift.
Aerodynamic characterization of a wind turbine blade through experimental tests and numerical analysis
Gervasini, Cesare;Foglia, Tullio
2020/2021
Abstract
The Blue Growth Farm (TBGF) is a project founded by the European Union program, Horizon 2020. The goal is to develop and design an automated multifunctional platform with low environmental impact for aquaculture to be installed in the open sea. This thesis is part of the defined project and deals with the preliminary aerodynamic study of the wind turbine blade that will be housed on the platform, designed on the characteristics of the reference wind turbine DTU 10MW. The work originates from a 2D aerodynamic study that focuses on the analysis of the SG6040 profile characterizing the geometry of the blade. It goes on with an analysis on the 3D model, which is conducted with three different types of approach to the problem. One is a numerical study using the Matlab calculation program, developing a code, based on data obtained from Xfoil, which through numerical integration allows to describe the behaviour of the blade. Another method is through computational fluid dynamics analysis, with the use of OpenFoam software. The last approach is the experimental one through a test campaign in the Wind Tunnel. The results collected during the experimental tests are compared with what was expected with the other numerical models and, according to the differences observed, the degree of accuracy of the methods used in predicting loads is analysed. In addition to this study, a reverse engineering procedure was carried out through Parametric Identification of the aerodynamic characteristics of the blade profiles, in which the experimental approach is combined with the numerical one. In this phase of the thesis work, starting from the data collected with the different methods, an application was created through Machine Learning that allows to predict the aerodynamic profiles of the blade in terms of Drag and Lift coefficients.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/177766