Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/102870
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | en_US |
| dc.creator | Sun, H | en_US |
| dc.creator | Gao, X | en_US |
| dc.creator | Yang, H | en_US |
| dc.date.accessioned | 2023-11-17T02:58:19Z | - |
| dc.date.available | 2023-11-17T02:58:19Z | - |
| dc.identifier.issn | 0360-5442 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/102870 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.rights | © 2019 Elsevier Ltd. All rights reserved. | en_US |
| dc.rights | © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
| dc.rights | The following publication Sun, H., Gao, X., & Yang, H. (2019). Validations of three-dimensional wake models with the wind field measurements in complex terrain. Energy, 189, 116213 is available at https://doi.org/10.1016/j.energy.2019.116213. | en_US |
| dc.subject | Three-dimensional wake models | en_US |
| dc.subject | Validation of wake models | en_US |
| dc.subject | Wake effect | en_US |
| dc.subject | Wind field experiments | en_US |
| dc.title | Validations of three-dimensional wake models with the wind field measurements in complex terrain | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 189 | en_US |
| dc.identifier.doi | 10.1016/j.energy.2019.116213 | en_US |
| dcterms.abstract | This paper aims to validate the analytical three-dimensional wake models by the wind data measured at a complex-terrain hilly wind farm in China. The wake models take into account the variation of wind speed in the vertical direction. The profiles of wind speeds were scanned by two moveable lidars. Two scanning modes were adopted to obtain the profiles of wind speed in vertical and horizontal directions, respectively. When validating the wake model for a single wind turbine in the vertical direction, the model can predict the wind speeds with acceptable accuracy, especially at positions beyond 10D downstream distance or above 100 m height. Some large errors were found at positions less than 40 m height. Wind speeds in two symmetrical side sections showed different distributions at the same downwind positions. When validating the wake model for multiple wind turbines in horizontal direction, the model also had a reliable accuracy at the far wake positions and near the inflow measuring site, but it cannot predict the wind deficits before an operating wind turbine and was not accurate in some complex-terrain situations. Suggestions and factors were given to be considered for improving the wake models in the future. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Energy, 15 Dec. 2019, v. 189, 116213 | en_US |
| dcterms.isPartOf | Energy | en_US |
| dcterms.issued | 2019-12-15 | - |
| dc.identifier.scopus | 2-s2.0-85072838932 | - |
| dc.identifier.eissn | 1873-6785 | en_US |
| dc.identifier.artn | 116213 | en_US |
| dc.description.validate | 202310 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | BEEE-0310 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The Hong Kong Polytechnic University; National Natural Science Funds of China | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 14684158 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Sun_Validations_Three-Dimensional_Wake.pdf | Pre-Published version | 3.3 MB | Adobe PDF | View/Open |
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