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Numerical Investigation of Dynamic Inflow Effect on Unsteady Aerodynamic Loading and Broadband Noise of Horizontal Axis Wind Turbines : 동적 유입류 하에서 수평축 풍력발전기의 비정상 공력 하중 및 소음 특성에 대한 수치적 연구

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dc.contributor.advisor이수갑-
dc.contributor.author전민우-
dc.date.accessioned2017-07-13T06:24:41Z-
dc.date.available2017-07-13T06:24:41Z-
dc.date.issued2016-02-
dc.identifier.other000000133241-
dc.identifier.urihttps://hdl.handle.net/10371/118528-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 공과대학 기계항공공학부, 2016. 2. 이수갑.-
dc.description.abstractHorizontal axis wind turbines (HAWTs) are subjected to complex environmental effects such as atmospheric turbulence, wind shear and inertial translational and rotational motion of support platform. Thus, it is debatable whether the aerodynamic load predictions of an HAWT using the conventional blade element momentum (BEM) theory, which does not consider the dynamic wake effects, are accurate. Although a generalized dynamic wake (GDW) method has been developed to consider the dynamic inflow effect, it is only stable for lightly loaded at high wind speeds. In contrast to the BEM and GDW, the unsteady vortex lattice method (UVLM) can inherently represent the non-uniform flow effects of the trailing wake from the turbine blades. In this work, a fully coupled dynamics model has been developed and extensively validated against results of wind tunnel test and a field experiment. Then, the wake influence of offshore floating wind turbines (OFWTs) at low wind-speed conditions was investigated by comparing three wake models: the BEM, GDW, and UVLM. The OC3-Hywind model was chosen for OFWT simulation. Result shows that the blade flapwise bending moment, rotor torque, and tower side-to-side bending moment were underestimated without considering dynamic inflow at low wind speeds. Also, aeroacoustic noise prediction of HAWTs was performed using semi-empirical formula. It was investigated in a low-wind speed condition to figure out the effect of dynamic inflow on flow-induced noise generation. Result shows that turbulent ingestion and trailing edge bluntness noise was not changed significantly. However, trailing edge noise increases in level due to lower prediction of induced velocity when considering the dynamic inflow.-
dc.description.tableofcontentsChapter 1 Introduction 1
1.1. Background 1
1.2. Current issues 2
1.3. Research objectives 8

Chapter 2 Development of fully-coupled dynamic simulation capability 9
2.1. Overview 9
2.2. Aerodynamic analysis models 10
2.2.1. Blade element momentum theory 10
2.2.2. Generalized dynamic wake 14
2.2.3. Unsteady vortex lattice method 17
2.2.4. Nonlinear vortex correction method 21
2.3. Development of coupled dynamic simulation 25
2.3.1. FAST 25
2.3.2. Coupling method 28
2.4. Validation 31
2.4.1. Unsteady Aerodynamics Experiment Phase VI 31
2.4.2. Vortex ring state 37
2.4.3. Dynamic inflow 40
2.4.4. NREL 5MW reference wind turbine 43

Chapter 3 Unsteady aerodynamic loading of an offshore floating wind turbine 45
3.1. Overview 45
3.2. Methodology 47
3.3. Verification 48
3.4. Results 52
3.4.1. Investigation on flow state 52
3.4.2. Moderate-wind speed condition 56
3.4.3. Low-wind speed condition 60

Chapter 4 Dynamic inflow effect on wind turbine noise 65
4.1. Overview 65
4.2. Numerical method 67
4.2.1. Brooks, Pope, and Marcolini 67
4.2.2. Lowsons turbulence ingestion noise (TIN) model 70
4.3. Validation 72
4.4. Results and discussion 78

Chapter 5 Conclusions 81

References 83

국문초록 94
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dc.formatapplication/pdf-
dc.format.extent4210021 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectDynamic inflow-
dc.subjectOffshore floating wind turbine-
dc.subjectUnsteady aerodynamics-
dc.subjectTrailing edge noise-
dc.subjectTurbulent ingestion noise-
dc.subject.ddc621-
dc.titleNumerical Investigation of Dynamic Inflow Effect on Unsteady Aerodynamic Loading and Broadband Noise of Horizontal Axis Wind Turbines-
dc.title.alternative동적 유입류 하에서 수평축 풍력발전기의 비정상 공력 하중 및 소음 특성에 대한 수치적 연구-
dc.typeThesis-
dc.description.degreeDoctor-
dc.citation.pages95-
dc.contributor.affiliation공과대학 기계항공공학부-
dc.date.awarded2016-02-
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