Wind Energy最新文献_第3页

Advanced wind turbine control development using field test analysis for generator overspeed mitigation 利用现场测试分析开发用于发电机超速缓解的先进风力涡轮机控制

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-09-07 DOI: 10.1002/we.2860

Mandar Phadnis, D. Zalkind, Lucy Pao

引用次数: 0

Experimental study of the wake interaction between two vertical axis wind turbines 两台垂直轴风力涡轮机尾流相互作用的实验研究

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-09-07 DOI: 10.1002/we.2863

Ming Huang, Yugandhar Vijaykumar Patil, Andrea Sciacchitano, C. Ferreira

引用次数: 0

Investigation of the effects of cyclic lateral load characteristics on monopiles in saturated sandy soils using hypoplastic material model 利用欠塑性材料模型研究饱和砂土单桩循环侧向荷载特性的影响

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-09-03 DOI: 10.1002/we.2862

Sacit Sarımurat

{"title":"Investigation of the effects of cyclic lateral load characteristics on monopiles in saturated sandy soils using hypoplastic material model","authors":"Sacit Sarımurat","doi":"10.1002/we.2862","DOIUrl":"https://doi.org/10.1002/we.2862","url":null,"abstract":"Offshore wind turbines play a critical role as a renewable energy source and are experiencing continuous growth in usage. Both the design and implementation phases of constructing these structures present difficulties. It is crucial to ensure these structures are built to resist such conditions, assuring their durability, as they are exposed to lateral external influences such as wind and wave loads. This study investigated how monopile foundations behave in saturated sandy soil under cyclic loading. Pore water pressure accumulations in saturated sandy soil, monopile head lateral displacements, and vertical settlements around the monopile are investigated using the hypoplastic material model and two‐phase element with the ANSYS finite element program. Analyses conducted in this study demonstrated that lateral cyclic loads could cause excessive pore water pressure accumulations around the monopile, leading to displacements in the monopile head and soil settlements around it, highlighting the importance of carefully considering loading characteristics during the design process to provide the security and longevity of offshore wind turbines.","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46945858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Erosion modelling on reconstructed rough surfaces of wind turbine blades 风力涡轮机叶片重建粗糙表面的侵蚀建模

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-08-28 DOI: 10.1002/we.2848

Antonios Tempelis, Leon Mishnaevsky Jr.

引用次数: 0

An analytical frequency‐domain model of aerodynamic mass and damping of floating wind turbines 浮动式风力涡轮机空气动力学质量和阻尼的频域分析模型

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-08-28 DOI: 10.1002/we.2861

Can Yang, Longfei Xiao, Peng Chen, Zhengshun Cheng, Mingyue Liu, Lei Liu

{"title":"An analytical frequency‐domain model of aerodynamic mass and damping of floating wind turbines","authors":"Can Yang, Longfei Xiao, Peng Chen, Zhengshun Cheng, Mingyue Liu, Lei Liu","doi":"10.1002/we.2861","DOIUrl":"https://doi.org/10.1002/we.2861","url":null,"abstract":"The fore‐aft motion of the rotor‐nacelle assembly (RNA) of a rotating floating wind turbine (FWT) can cause an oscillation in aerodynamic thrust, which may be equivalently treated as frequency‐dependent aerodynamic mass and damping effects. In this study, an explicit frequency‐domain analytical model is proposed to calculate the equivalent aerodynamic mass and damping of FWTs, with proper linearization of control system. Assuming that an FWT operates under steady wind conditions and a forced oscillation is exerted at the RNA along the wind direction, the thrust fluctuations are equivalently represented by the force and moment acting on the nacelle instead of pure aerodynamic loads. Based on the thrust oscillation expression, equivalent aerodynamic mass and damping are derived analytically. After verifying the model by numerical comparison, it is used to demonstrate equivalent aerodynamic mass and damping of three wind turbines (5–15 MW). Effects of wind turbine up‐scaling and controller dynamics are addressed. Results show that equivalent aerodynamic mass and damping present a nonlinear characteristic with oscillation frequency in the below‐rated region, while the relationship is close to linear for higher wind speeds. The effect of wind turbine up‐scaling has a visible impact on equivalent aerodynamic mass and damping, especially at near‐rated wind speed. Controller gains affect equivalent aerodynamic mass and damping and should be tuned reasonably in the controller design for FWTs. Outcomes of our study can be used to establish a frequency‐domain coupled model of FWTs and are beneficial for conceptual design and parameter optimization of the platform of FWTs.","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42967858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feasibility study on a full‐scale wind turbine blade monitoring campaign: Comparing performance and robustness of features extracted from medium‐frequency active vibrations 全尺寸风力涡轮机叶片监测活动的可行性研究：比较从中频主动振动中提取的特征的性能和稳健性

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-08-10 DOI: 10.1002/we.2854

M. A. Fremmelev, P. Ladpli, E. Orlowitz, N. Dervilis, M. McGugan, K. Branner

{"title":"Feasibility study on a full‐scale wind turbine blade monitoring campaign: Comparing performance and robustness of features extracted from medium‐frequency active vibrations","authors":"M. A. Fremmelev, P. Ladpli, E. Orlowitz, N. Dervilis, M. McGugan, K. Branner","doi":"10.1002/we.2854","DOIUrl":"https://doi.org/10.1002/we.2854","url":null,"abstract":"The present work investigates the performance of different features, extracted from vibration‐based data, for structural health monitoring of a 52‐meter wind turbine blade during fatigue testing. An active vibration monitoring system was used during the test campaign, providing periodic excitation of single frequencies in the medium‐frequency range, and using accelerometers to measure the vibration output on different parts of the blade. Based on previous work from the authors, data is available for the wind turbine blade in healthy state, with a manually induced damage, and with progressively increasing damage severity. Using the vibration data, different signal processing methods are used to extract damage‐sensitive features. Time series methods and time‐frequency domain methods are used to quantify the applied active vibration signal. Using outlier analysis, the health state of the blade is classified, and the classification accuracy through use of the different features is compared. Highest performance is generally obtained by auto‐regressive modeling of the vibration outputs, using the auto‐regressive parameters as features. Finally, suggestions for future improvements of the present method toward practical implementation are given.","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45837029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Convolutional neural network framework for wind turbine electromechanical fault detection 风电机电故障检测的卷积神经网络框架

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-08-07 DOI: 10.1002/we.2857

Emilie Stone, S. Giani, D. Zappalá, C. Crabtree

{"title":"Convolutional neural network framework for wind turbine electromechanical fault detection","authors":"Emilie Stone, S. Giani, D. Zappalá, C. Crabtree","doi":"10.1002/we.2857","DOIUrl":"https://doi.org/10.1002/we.2857","url":null,"abstract":"Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight convolutional neural network (CNN) framework using high‐dimensional raw condition monitoring data for the automatic detection of multiple wind turbine electromechanical faults. The proposed approach leverages the potential of combining information from a variety of signals to learn features and to discriminate the types of fault and their severity. As a result of the CNN layers used to extract features from the signals, this architecture works in the time domain and can digest high‐resolution multi‐sensor data streams in real‐time. To overcome the inherent black‐box nature of AI models, this research proposes two interpretability techniques, multidimensional scaling and layer‐wise relevance propagation, to analyse the proposed model's inner‐working and identify the signal features relevant for fault classification. Experimental results show high performance and classification accuracies above 99.9% for all fault cases tested, demonstrating the efficacy of the proposed fault‐detection system.","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47376632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Real‐time rotor effective wind speed estimation based on actuator disc theory: Design and full‐scale experimental validation 基于传动盘理论的实时转子有效风速估计：设计和全尺寸实验验证

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-07-29 DOI: 10.1002/we.2858

A. Lio, F. Meng, G. Larsen

引用次数: 0

Development of a wind turbine model and simulation platform using an acausal approach: Multiphysics modeling, validation, and control 使用辅助方法开发风力涡轮机模型和模拟平台：多物理建模、验证和控制

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-07-16 DOI: 10.1002/we.2853

Mohammad Odeh, Kazi Mohsin, Tri D. Ngo, D. Zalkind, J. Jonkman, A. Wright, A. Robertson, Tuhin Das

引用次数: 0

A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool 一种新的GPU驻留大涡模拟代码与多物理场风力机仿真工具的耦合