{"created":"2021-03-01T06:22:07.339259+00:00","id":5426,"links":{},"metadata":{"_buckets":{"deposit":"7ec9a0b9-71a0-4986-a20f-da3a9669b60a"},"_deposit":{"id":"5426","owners":[],"pid":{"revision_id":0,"type":"depid","value":"5426"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00005426","sets":["6:278:279","9:233:234"]},"item_7_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"変動風速の相関とSCADAデータを考慮した3次元乱流場の生成"}]},"item_7_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2012-09-27","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{}]}]},"item_7_date_granted_25":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2012-09-27"}]},"item_7_degree_name_20":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"修士(工学)"}]},"item_7_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Generation of a turbulent wind field based on prescribed turbulence characteristics is required for physical model-based condition monitoring of wind turbines. Kaimal's and Mann's models are specified in the IEC 61400-1 standard and have been widely used for the design of wind turbines. However, these models cannot directly be used for wind generation for monitoring purposes. Kaimal's model lacks a theoretical background and is incomplete in terms of cross-correlations between different components of wind. Mann's model is derived from von Karman's theoretical model, but it cannot be easily linked to measured time series of wind. The aim of this study is to propose a set of turbulence models and investigate the applicability of the proposed model to dynamic simulation of wind turbines for monitoring. First, von Karman's model is modified to satisfy measured wind data characteristics and the IEC requirements, and a model for Reynolds stress components is proposed. Von Karman's model has expressions in both frequency and time domain. The consistency of the proposed model with IEC requirements is validated in the frequency domain. Implementation in the wind generation method is carried out in the time domain, based on an adaptation of Iwatani's autoregressive method for wind generation. The generation algorithm can be linked to any number of measured wind speed data at any number of points. The turbulent wind fields generated in this study satisfy the IEC requirements and the proposed turbulence model, and are consistent with measured time series of wind speed. Then, three wind fields are generated based on the proposed method, and the response of a wind turbine to each wind field is calculated. The first wind field satisfies the turbulence description but is not linked with any measured wind speed. The second and third wind fields are respectively linked to one and three components of measured wind speed. When one component of measured wind speed is included, the estimated maximum base moment shows a closer value to measurements and shows smaller variations over several random seeds realizations. Including three components of measured wind speed further increases the stability both in the fore-aft tower base bending moment and side-by-side tower base bending moment.","subitem_description_type":"Abstract"}]},"item_7_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"11331","nameIdentifierScheme":"WEKO"}],"names":[{"name":"ユアン, エレーヌ"}]}]},"item_7_select_21":{"attribute_name":"学位","attribute_value_mlt":[{"subitem_select_item":"master"}]},"item_7_subject_13":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"501","subitem_subject_scheme":"NDC"}]},"item_7_text_24":{"attribute_name":"研究科・専攻","attribute_value_mlt":[{"subitem_text_value":"工学系研究科社会基盤学専攻"}]},"item_7_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学大学院工学系研究科社会基盤学専攻"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Huang, Hélène"}],"nameIdentifiers":[{"nameIdentifier":"11330","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-06-01"}],"displaytype":"detail","filename":"20120915.pdf","filesize":[{"value":"3.6 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"20120915.pdf","url":"https://repository.dl.itc.u-tokyo.ac.jp/record/5426/files/20120915.pdf"},"version_id":"dec4f870-a558-4cf5-a99e-f1a59b1680f2"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"Three-dimensional turbulent flow generation considering correlation of fluctuating components and SCADA data","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Three-dimensional turbulent flow generation considering correlation of fluctuating components and SCADA data"}]},"item_type_id":"7","owner":"1","path":["234","279"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-10-02"},"publish_date":"2013-10-02","publish_status":"0","recid":"5426","relation_version_is_last":true,"title":["Three-dimensional turbulent flow generation considering correlation of fluctuating components and SCADA data"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T03:47:02.506210+00:00"}