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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80983完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 葉仲基(Chung-Kee Yeh) | |
| dc.contributor.author | Wen-Ko Hsu | en |
| dc.contributor.author | 徐文科 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:24:48Z | - |
| dc.date.available | 2022-02-16 | |
| dc.date.available | 2022-11-24T03:24:48Z | - |
| dc.date.copyright | 2022-02-16 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-02-07 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80983 | - |
| dc.description.abstract | "本研究探討台灣中西部外海離岸風場之風能潛勢，藉由鄰近陸域風力機運轉資訊(Wind Turbine Generator SCADA Data)及光達(Light Detection and Ranging, LiDAR)量測之資料，搭配量測推估法(Measure-Correlated-Predict, MCP)推估出離岸風場區域之風力分佈，將可據以進行風能潛勢分析。 首先統計分析離岸海氣象觀測塔(Met Mast)之觀測資訊，來了解台灣中西部外海近岸地區離岸風能密度大小與分佈情形，後續透過常見風力發電機性能曲線(Power Curve)來進行產能評估，包含年發電量 (Annual Energy Production)與容量因數(Capacity Factor)等，並以本區域風能分佈情形來評估潛在機組的產能評估與其適應性。 其次以鄰近海氣象觀測塔之陸域風力發電機運轉資訊，配合光達 (LiDAR)量測比對，以量測推估(MCP)法取得風能分佈情形，光達可同時量測特定高層風速，進而取得所需高層風能分佈，並藉由比對海氣象觀測塔資料風力發電機產能評估，來確認推估方式取得風能分佈之可行性。 本研究所提以風力發電機運轉資訊配合光達進行量測推估之風能調查方法實屬可行，可有效縮短風能分佈取得所需時間及降低成本，對後續離岸風能開發將有所助益。" | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:24:48Z (GMT). No. of bitstreams: 1 U0001-0302202212444400.pdf: 3025040 bytes, checksum: 67a9243b971956c414d2410a2678e9d5 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 誌謝 i 摘要 ii Abstract iii 目錄 iv 圖目錄 vii 表目錄 ix 符號說明 x 第一章、前言與研究目的 1 1.1 前言 1 1.2 研究目的 4 第二章、文獻探討 5 2.1 風力發電發展 5 2.2 風能介紹 7 2.2.1 風能評估 7 2.2.2 風能分佈 8 2.3 風力發電機 12 2.3.1 風力發電機出力 12 2.3.2 性能曲線 13 2.3.3 風力發電機型式 14 2.3.4 固定轉速風力發電機 14 2.3.5 可變轉速風力發電機 16 2.3.6 永磁可變轉速風力發電機 17 2.3.7 感應式可變轉速風力發電機 18 2.3.8 雙饋感應式可變轉速風力發電機 18 2.3.9 直驅式可變轉速風力發電機 18 2.4 風力發電效能評估 21 2.4.1 年總發電量 21 2.4.2 容量因數 21 2.5 量測推估 22 第三章、材料與方法 24 3.1 海氣象觀測塔風能分佈實測 24 3.2 離岸風能分佈推估 26 3.3 產能評估 31 3.4 風能損失產能評估 32 第四章、結果與討論 33 4.1 海氣象觀測塔風能分佈實測 33 4.1.1 平均風速與風能密度 33 4.1.2 台灣中西部實測風速模型 34 4.2 離岸風能分佈推估 37 4.2.1 風力發電機資料 37 4.2.2 光達比對資料 39 4.2.3 67m實測與推估風能分佈比較 42 4.2.4 95m實測與推估風況比較 43 4.3 產能評估 46 4.4 風能損失產能評估 53 4.4.1 陸域比對風能損失 53 4.4.2 六款風力發電機風能損失 54 第五章、結論與建議 58 參考文獻 60 附錄 64 | |
| dc.language.iso | zh-TW | |
| dc.subject | 量測推估法 | zh_TW |
| dc.subject | 風力發電機運轉資訊 | zh_TW |
| dc.subject | 海氣象觀測塔 | zh_TW |
| dc.subject | 性能曲線 | zh_TW |
| dc.subject | 年發電量 | zh_TW |
| dc.subject | 容量因數 | zh_TW |
| dc.subject | 光達 | zh_TW |
| dc.subject | Annual Energy Production | en |
| dc.subject | Power Curve | en |
| dc.subject | Capacity Factor | en |
| dc.subject | Met Mast | en |
| dc.subject | Measure-Correlated-Predict (MCP) | en |
| dc.subject | Light Detection and Ranging (LiDAR) | en |
| dc.subject | Wind Turbine Generator SCADA Data | en |
| dc.title | 台灣中西部離岸風能潛勢評估之研究 | zh_TW |
| dc.title | Offshore Wind Potential Assessment of West Central Taiwan | en |
| dc.date.schoolyear | 110-1 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 黃振康(Chun-Chung Chen),陳洵毅(Wen-Nang Tsan),吳剛智,林連雄 | |
| dc.subject.keyword | 風力發電機運轉資訊,光達,量測推估法,海氣象觀測塔,性能曲線,年發電量,容量因數, | zh_TW |
| dc.subject.keyword | Wind Turbine Generator SCADA Data,Light Detection and Ranging (LiDAR),Measure-Correlated-Predict (MCP),Met Mast,Power Curve,Annual Energy Production,Capacity Factor, | en |
| dc.relation.page | 64 | |
| dc.identifier.doi | 10.6342/NTU202200273 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2022-02-09 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物機電工程學系 | zh_TW |
| 顯示於系所單位： | 生物機電工程學系 | |
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