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Article(id=1221459819538596664, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221459819031085880, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202210232, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1664899200000, receivedDateStr=2022-10-05, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1769148314604, onlineDateStr=2026-01-23, pubDate=1679673600000, pubDateStr=2023-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769148314604, onlineIssueDateStr=2026-01-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769148314604, creator=13701087609, updateTime=1769148314604, updator=13701087609, issue=Issue{id=1221459819031085880, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='3', pageStart='1', pageEnd='167', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769148314483, creator=13701087609, updateTime=1769149441207, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1221464544916983885, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221459819031085880, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1221464544916983886, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221459819031085880, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=39, endPage=48, ext={EN=ArticleExt(id=1221459819777671996, articleId=1221459819538596664, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Fatigue damage assessment of wind turbine based on dynamic wake meandering model, columnId=1221459819714757434, journalTitle=Thermal Power Generation, columnName=Fault diagnosis and condition monitoring technologies of wind power system, runingTitle=null, highlight=null, articleAbstract=

The wake effect of wind farm is the main factor affecting the performance of wind turbines in the downstream wind farm. The wake effect, load characteristics and fatigue damage of wind turbines in front, middle and rear of an offshore wind farm were quantitatively assessed by FAST.Farm, which is the latest opensource multi-physical field coupling simulation software tool of National Renewable Energy Laboratory (NREL). The results show that, the wind speed decreases and the turbulence intensity increases in turn in the wind farm along the flow direction. The fatigue damage of front-row, middle-row and back-row wind turbines increases with the inflow wind speed. Especially, under the condition of high inflow wind speed, the fatigue damage of the middle-row wind turbines at the blade root and the tower base increases exponentially, and the increase range is obviously higher than that of the front and back row wind turbine. It suggests that the structural strength of wind turbines in the central area should be improved to some extent in wind power pre-development and post-operation and maintenance work.

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风电场尾流效应是影响下游风力机载荷的主要因素。选用美国可再生能源实验室（NREL）最新开源的多物理场耦合仿真软件工具——FAST.Farm，以某海上风电场为研究对象，量化评估了风电场前排、中间和后排风力机的尾流效应、载荷及疲劳损伤特征。结果表明：沿流动方向，风电场内部呈现出风速依次降低，湍流强度依次增加的流动特征；随着来流风速提高，前排、中间、后排风力机的疲劳损伤增大；在较高来流风速条件下，中间位置风力机叶根处和塔基处的疲劳损伤成倍增加，且增加幅度明显高于前排和后排风力机，即疲劳损伤最严重的风力机位于风电场中间区域。建议风电前期开发及后期运维工作中，需要重点关注场区中间位置风力机的结构强度。

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罗坤（1977），男，教授，博士生导师，主要研究方向为能源与环境工程领域复杂多相流动和反应的理论及数值研究，。
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穆延非（1986），男，博士研究生，主要研究方向为海上风电场群规划优化和机组整体结构设计技术，。

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穆延非（1986），男，博士研究生，主要研究方向为海上风电场群规划优化和机组整体结构设计技术，。

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穆延非（1986），男，博士研究生，主要研究方向为海上风电场群规划优化和机组整体结构设计技术，。

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基于动态尾流蜿蜒模型的风力机疲劳损伤评估
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穆延非 1 , 王强 1, 2 , 罗坤 1, 2 , 樊建人 1, 2 , 邱旭 3 , 刘鑫 3 , 闫姝3
热力发电 | 风电系统故障诊断及状态监测技术 2023,52(3): 39-48
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热力发电 | 风电系统故障诊断及状态监测技术 2023, 52(3): 39-48
基于动态尾流蜿蜒模型的风力机疲劳损伤评估
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穆延非1 , 王强1, 2, 罗坤1, 2 , 樊建人1, 2, 邱旭3, 刘鑫3, 闫姝3
作者信息
  • 1．浙江大学能源清洁利用国家重点实验室，浙江 杭州 310027
  • 2．浙江省清洁能源与碳中和重点实验室，浙江 杭州 310027
  • 3．中国华能集团清洁能源技术研究院有限公司，北京 102209

    • 穆延非（1986），男，博士研究生，主要研究方向为海上风电场群规划优化和机组整体结构设计技术，。

通讯作者:

罗坤（1977），男，教授，博士生导师，主要研究方向为能源与环境工程领域复杂多相流动和反应的理论及数值研究，。
Fatigue damage assessment of wind turbine based on dynamic wake meandering model
Yanfei MU1 , Qiang WANG1, 2, Kun LUO1, 2 , Jianren FAN1, 2, Xu QIU3, Xin LIU3, Shu YAN
Affiliations
  • 1.State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
  • 2.Zhejiang Key Laboratory of Clean Energy and Carbon Neutrality, Hangzhou 310027, China
  • 3.Huaneng Clean Energy Research Institute Co., Ltd., Beijing 102209, China
出版时间: 2023-03-25 doi: 10.19666/j.rlfd.202210232
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摘要
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风电场尾流效应是影响下游风力机载荷的主要因素。选用美国可再生能源实验室（NREL）最新开源的多物理场耦合仿真软件工具——FAST.Farm，以某海上风电场为研究对象，量化评估了风电场前排、中间和后排风力机的尾流效应、载荷及疲劳损伤特征。结果表明：沿流动方向，风电场内部呈现出风速依次降低，湍流强度依次增加的流动特征；随着来流风速提高，前排、中间、后排风力机的疲劳损伤增大；在较高来流风速条件下，中间位置风力机叶根处和塔基处的疲劳损伤成倍增加，且增加幅度明显高于前排和后排风力机，即疲劳损伤最严重的风力机位于风电场中间区域。建议风电前期开发及后期运维工作中，需要重点关注场区中间位置风力机的结构强度。

FAST.Farm  /  动态尾流蜿蜒模型  /  风力机  /  雨流计数法  /  疲劳损伤

The wake effect of wind farm is the main factor affecting the performance of wind turbines in the downstream wind farm. The wake effect, load characteristics and fatigue damage of wind turbines in front, middle and rear of an offshore wind farm were quantitatively assessed by FAST.Farm, which is the latest opensource multi-physical field coupling simulation software tool of National Renewable Energy Laboratory (NREL). The results show that, the wind speed decreases and the turbulence intensity increases in turn in the wind farm along the flow direction. The fatigue damage of front-row, middle-row and back-row wind turbines increases with the inflow wind speed. Especially, under the condition of high inflow wind speed, the fatigue damage of the middle-row wind turbines at the blade root and the tower base increases exponentially, and the increase range is obviously higher than that of the front and back row wind turbine. It suggests that the structural strength of wind turbines in the central area should be improved to some extent in wind power pre-development and post-operation and maintenance work.

FAST.Farm  /  dynamic wake meandering model  /  wind turbine  /  rain flow counting method  /  fatigue damage
穆延非, 王强, 罗坤, 樊建人, 邱旭, 刘鑫, 闫姝3. 基于动态尾流蜿蜒模型的风力机疲劳损伤评估. 热力发电, 2023 , 52 (3) : 39 -48 . DOI: 10.19666/j.rlfd.202210232
Yanfei MU, Qiang WANG, Kun LUO, Jianren FAN, Xu QIU, Xin LIU, Shu YAN. Fatigue damage assessment of wind turbine based on dynamic wake meandering model[J]. Thermal Power Generation, 2023 , 52 (3) : 39 -48 . DOI: 10.19666/j.rlfd.202210232
基金
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  • 国家自然科学基金青年科学基金项目(52206218)
  • 中国华能集团有限公司总部科技项目(HNKJ19-H16)
2023年第52卷第3期
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文章信息
doi: 10.19666/j.rlfd.202210232
  • 接收时间：2022-10-05
  • 首发时间：2026-01-23
  • 出版时间：2023-03-25
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  • 收稿日期：2022-10-05
基金
Youth Science Foundation Project of National Natural Science Foundation of China(52206218)
国家自然科学基金青年科学基金项目(52206218)
Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ19-H16)
中国华能集团有限公司总部科技项目(HNKJ19-H16)
作者信息
    1．浙江大学能源清洁利用国家重点实验室，浙江 杭州 310027
    2．浙江省清洁能源与碳中和重点实验室，浙江 杭州 310027
    3．中国华能集团清洁能源技术研究院有限公司，北京 102209

通讯作者:

罗坤（1977），男，教授，博士生导师，主要研究方向为能源与环境工程领域复杂多相流动和反应的理论及数值研究，。
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https://castjournals.cast.org.cn/joweb/rlfd/CN/10.19666/j.rlfd.202210232
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2种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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