Evaluation and characterization of offshore wind resources with long-term met mast data corrected by wind lidar
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, J.-Y. | - |
dc.contributor.author | Oh, K.-Y. | - |
dc.contributor.author | Kim, M.-S. | - |
dc.contributor.author | Kim, K.-Y. | - |
dc.date.available | 2019-03-08T06:56:23Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.issn | 0960-1481 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3254 | - |
dc.description.abstract | Wind resource assessments with onsite wind data are indispensable when estimating the economic feasibility of developing a large-scale commercial offshore wind farm. However, several factors of the data measured from a meteorological mast, including short observation period and instrument errors, may result in uncertainty concerning wind resource assessments. To mitigate the uncertainty of wind resource assessments at the candidate site for a large-scale commercial offshore wind farm, HeMOSU-1, the first offshore meteorological mast in Asia, has been in operation for more than 6 years since it was installed at the western coast of the Korean Peninsula in 2010. A vertical wind lidar was also installed for quantitative evaluations and calibrations of the measured data from HeMOSU-1. This study analyzed several parameters associated with the long-term wind characteristics through cross-validation between HeMOSU-1 and the wind lidar. The parameters affecting the prediction results include the shading effect from the mast, year-to-year variation, the long-term correction methods, and the period of onsite measurements. Based on this analysis, long-term wind potentials are estimated with reliable parameters. © 2018 Elsevier Ltd | - |
dc.format.extent | 15 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Elsevier Ltd | - |
dc.title | Evaluation and characterization of offshore wind resources with long-term met mast data corrected by wind lidar | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.renene.2018.06.097 | - |
dc.identifier.bibliographicCitation | Renewable Energy, v.144, pp 41 - 55 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000475996700005 | - |
dc.identifier.scopusid | 2-s2.0-85049350019 | - |
dc.citation.endPage | 55 | - |
dc.citation.startPage | 41 | - |
dc.citation.title | Renewable Energy | - |
dc.citation.volume | 144 | - |
dc.type.docType | Article in Press | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | Long-term measurements | - |
dc.subject.keywordAuthor | Meteorological mast | - |
dc.subject.keywordAuthor | Offshore wind energy | - |
dc.subject.keywordAuthor | Offshore wind farm | - |
dc.subject.keywordAuthor | Wind lidar | - |
dc.subject.keywordAuthor | Wind resources | - |
dc.subject.keywordPlus | ENERGY POTENTIAL ASSESSMENT | - |
dc.subject.keywordPlus | KOREAN PENINSULA | - |
dc.subject.keywordPlus | SITE | - |
dc.subject.keywordPlus | METHODOLOGY | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Green & Sustainable Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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