Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오기용 | - |
dc.date.accessioned | 2021-10-13T07:47:10Z | - |
dc.date.available | 2021-10-13T07:47:10Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.citation | RENEWABLE ENERGY, v. 144, page. 41-55, SI | en_US |
dc.identifier.issn | 0960-1481 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0960148118307493?via%3Dihub | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/165471 | - |
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. | en_US |
dc.description.sponsorship | This work was supported by a New & Renewable Energy of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government Ministry of Knowledge Economy (Project No. 20113040020010) and by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B03032746). | en_US |
dc.language.iso | en | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.subject | Offshore wind farm | en_US |
dc.subject | Offshore wind energy | en_US |
dc.subject | Wind resources | en_US |
dc.subject | Wind lidar | en_US |
dc.subject | Meteorological mast | en_US |
dc.subject | Long-term measurements | en_US |
dc.title | Evaluation and characterization of offshore wind resources with long-term met mast data corrected by wind lidar | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.renene.2018.06.097 | - |
dc.relation.journal | RENEWABLE ENERGY | - |
dc.contributor.googleauthor | Kim, Ji-Young | - |
dc.contributor.googleauthor | Oh, Ki-Yong | - |
dc.contributor.googleauthor | Kim, Min-Suek | - |
dc.contributor.googleauthor | Kim, Kwang-Yul | - |
dc.relation.code | 2019039391 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | kiyongoh | - |
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