Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | en_US |
| dc.contributor.advisor | Yang, Hongxing (BEEE) | en_US |
| dc.creator | Li, Yichun | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/12687 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | A new three-dimensional elliptical multiple wind turbine wake model | en_US |
| dcterms.abstract | This study intends to conduct a thorough investigation into the wake effect of wind turbines. This will be achieved through a comparative analysis of different wake models, wake superposition methods, as well as wind farm forecasting tools. using the sum of squares will be utilized to superimpose single turbine models, and a Gaussian-shaped three-dimensional ellipse (3DEG) model will be developed and simulated in Matlab software to forecast how a wind farm with numerous turbines will distribute its wake. | en_US |
| dcterms.abstract | To support this investigation, wind tunnel experiments will be conducted in the laboratory of the University of Hong Kong. In these tests, the wake flow distribution of a single turbine and a turbine with a single wake flow will be measured. Particle image velocimetry (PIV) will be utilized to measure the thrust coefficient and inlet speed while the distance from the turbine rotor position is changed. The project's goal is to improve our knowledge of wind turbine wake impacts and offer new perspectives that may be applied to the design and operation of wind farms. | en_US |
| dcterms.abstract | The obtained data were compared with the simulation results to validate the proven 3DEG model and the newly derived multiple wake model, and to calculate the associated error. The error for the 3DEG model at a thrust factor of 0.36 was 8.73%, and at 0.24 was 2.2%. The error for the multiple turbine model was 5.18%. | en_US |
| dcterms.abstract | However, due to the experimental conditions, particularly the effect of laser intensity, some of the data may be biased, which could impact the accuracy of the model. Therefore, in order to maximize the output of various wind farms, future research will concentrate on optimizing the placement of wind turbines. | en_US |
| dcterms.extent | 53 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2023 | en_US |
| dcterms.educationalLevel | M.Eng. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Wind power plants -- Design and construction | en_US |
| dcterms.LCSH | Wind turbines | en_US |
| dcterms.LCSH | Wakes (Fluid dynamics) | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 7173.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.45 MB | Adobe PDF | View/Open |
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