Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/102902
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | en_US |
| dc.creator | Sun, H | en_US |
| dc.creator | Yang, H | en_US |
| dc.creator | Gao, X | en_US |
| dc.date.accessioned | 2023-11-17T02:58:32Z | - |
| dc.date.available | 2023-11-17T02:58:32Z | - |
| dc.identifier.issn | 0360-5442 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/102902 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.rights | © 2018 Elsevier Ltd. All rights reserved. | en_US |
| dc.rights | © 2018. 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., Yang, H., & Gao, X. (2019). Investigation into spacing restriction and layout optimization of wind farm with multiple types of wind turbines. Energy, 168, 637-650 is available at https://doi.org/10.1016/j.energy.2018.11.073. | en_US |
| dc.subject | Multiple types of wind turbines | en_US |
| dc.subject | The directional restriction | en_US |
| dc.subject | Wake effect | en_US |
| dc.subject | Wind farm layout optimization | en_US |
| dc.title | Investigation into spacing restriction and layout optimization of wind farm with multiple types of wind turbines | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 637 | en_US |
| dc.identifier.epage | 650 | en_US |
| dc.identifier.volume | 168 | en_US |
| dc.identifier.doi | 10.1016/j.energy.2018.11.073 | en_US |
| dcterms.abstract | In this paper, a new Directional Restriction method is presented to restrict the spacing between wind turbines. Compared to existing restrictions, the new method additionally considers the influence of wind directions, and the restriction for each wind turbine is related to its rotor diameter. Therefore, the method is especially effective for the site with obvious prevailing wind directions. With the Directional Restriction, a wind farm optimization process applying the Multi-Population Genetic Algorithm has been presented. The optimization can exploit the wind resource more effectively and can be used to optimize the layout of nonuniform wind farm. Four representative cases are then studied and discussed: (a) aligned layout with uniform wind turbines; (b) optimized layout with uniform wind turbines; (c) optimized layout with nonuniform wind turbines and (d) a commercial nonuniform offshore wind farm. Through these cases, the utilization rate of a nonuniform wind farm with five types of wind turbines can increase to 99.21%, in which the minimum utilization rate of a single wind turbine is 94.27%. Especially, in the last case, a potential offshore wind farm in Sha Chau Island in Hong Kong is analyzed. The results demonstrate that the proposed optimization method is practical in designing wind farms. The coastal area in Hong Kong is the ideal region to develop offshore wind power. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Energy, 1 Feb. 2019, v. 168, p. 637-650 | en_US |
| dcterms.isPartOf | Energy | en_US |
| dcterms.issued | 2019-02-01 | - |
| dc.identifier.scopus | 2-s2.0-85059338308 | - |
| dc.identifier.eissn | 1873-6785 | en_US |
| dc.description.validate | 202310 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | BEEE-0409 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The Hong Kong Polytechnic University; National Natural Science Foundation of China; State Key Lab of Subtropical Building Science, South China University of Technology | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 49646784 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Sun_Investigation_Spacing_Restriction.pdf | Pre-Published version | 3.65 MB | Adobe PDF | View/Open |
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