Wind Energy最新文献_第4页

Short‐term wind power prediction based on stacked denoised auto‐encoder deep learning and multi‐level transfer learning 基于叠加去噪自动编码器深度学习和多级迁移学习的短期风电预测

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-07-13 DOI: 10.1002/we.2856

Xiaosheng Peng, Zimin Yang, Yinhuan Li, Bo Wang, Jianfeng Che

引用次数: 0

Modal analysis of an operational offshore wind turbine using enhanced Kalman filter‐based subspace identification 基于增强卡尔曼滤波器的子空间识别在海上风机模态分析中的应用

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-07-12 DOI: 10.1002/we.2849

Aemilius A. W. van Vondelen, A. Iliopoulos, S. Navalkar, D. van der Hoek, J. van Wingerden

引用次数: 0

The flow in the induction and entrance regions of lab‐scale wind farms 实验室规模风电场诱导区和入口区的流量

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-07-11 DOI: 10.1002/we.2855

M. K. Vinnes, N. Worth, A. Segalini, R. J. Hearst

引用次数: 0

Model‐free closed‐loop wind farm control using reinforcement learning with recursive least squares 使用递归最小二乘强化学习的无模型闭环风电场控制

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-07-07 DOI: 10.1002/we.2852

J. Liew, T. Göçmen, W. Lio, G. Larsen

引用次数: 1

A Bayesian reliability analysis exploring the effect of scheduled maintenance on wind turbine time to failure 贝叶斯可靠性分析探讨定期维护对风机故障时间的影响

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-07-06 DOI: 10.1002/we.2846

Fraser Anderson, R. Dawid, D. McMillan, David García‐Cava

引用次数: 1

Providing power reserve for secondary grid frequency regulation of offshore wind farms through yaw control 通过偏航控制为海上风电场的二次电网频率调节提供电力储备

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-07-04 DOI: 10.1002/we.2845

Younes Oudich, J. Gyselinck, F. De Belie, M. Kinnaert

引用次数: 0

Load response of a two‐rotor floating wind turbine undergoing blade‐pitch system faults 双转子浮式风力发电机桨距系统故障时的负载响应

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-06-28 DOI: 10.1002/we.2850

Omar El Beshbichi, Y. Xing, Muk Chen Ong

引用次数: 0

Copula‐based joint distribution analysis of wind speed and wind direction: Wind energy development for Hong Kong 基于Copula的风速和风向联合分布分析：香港风能开发

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-06-27 DOI: 10.1002/we.2847

Shijin Huang, Q. Li, Zhenru Shu, Pak-wai Chan

{"title":"Copula‐based joint distribution analysis of wind speed and wind direction: Wind energy development for Hong Kong","authors":"Shijin Huang, Q. Li, Zhenru Shu, Pak-wai Chan","doi":"10.1002/we.2847","DOIUrl":"https://doi.org/10.1002/we.2847","url":null,"abstract":"Accurate and reliable assessment of wind energy potential has important implication to the wind energy industry. Most previous studies on wind energy assessment focused solely on wind speed, whereas the dependence of wind energy on wind direction was much less considered and documented. In this paper, a copula-based method is proposed to better characterize the direction-related wind energy potential at six typical sites in Hong Kong. The joint probability density function (JPDF) of wind speed and wind direction is constructed by a series of copula models. It shows that Frank copula has the best performance to fit the JPDF at hilltop and offshore sites while Gumbel copula outperforms other models at urban sites. The derived JPDFs are applied to estimate the direction-related wind power density at the considered sites. The obtained maximum direction-related wind energy density varies from 41.3 W/m 2 at an urban site to 507.9 W/m 2 at a hilltop site. These outcomes are expected to facilitate accurate micro-site selection of wind turbines, thereby improving the economic benefits of wind farms in Hong Kong. Meanwhile, the developed copula-based method provides useful references for further investigations regarding direction-related wind energy assessments at various terrain regions. Notably, the proposed copula-based method can also be applied to characterize the direction-related wind energy potential somewhere other than Hong Kong.","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46626766","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

Mitigation of transient torque reversals in indirect drive wind turbine drivetrains 间接驱动风力发电机传动系统瞬态转矩反转的缓解

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-06-04 DOI: 10.1002/we.2842

Saptarshi Sarkar, H. Johansson, V. Berbyuk

{"title":"Mitigation of transient torque reversals in indirect drive wind turbine drivetrains","authors":"Saptarshi Sarkar, H. Johansson, V. Berbyuk","doi":"10.1002/we.2842","DOIUrl":"https://doi.org/10.1002/we.2842","url":null,"abstract":"Bearing failure in wind turbine gearboxes is one of the significant sources of down-time. While it is well-known that bearing failures cause the largest downtime, the failure cause(s) is often elusive. The bearings are designed to satisfy their rolling contact fatigue (RCF) life. However, they often undergo sudden and rapid failure within a few years of operation. It is well-known that these premature failures are attributed to surface damages such as white surface flaking (WSF), white etching cracks (WECs) and axial cracks. In that regard, transient torque reversals (TTRs) in the drivetrain have emerged as one of the primary triggers of surface damage, as explained in this paper. The risk associated with TTRs motivates the need to mitigate TTRs arising in the drive-train due to various transient events. This paper investigates three TTR mitigation methods. First, two existing devices, namely, the torsional tuned mass damper and the asymmetric torque limiter, are studied to demonstrate their TTR mitigation capabilities. Then, a novel idea of open-loop high-speed shaft mechanical brake control is proposed. The results presented here show that while the torsional tuned mass damper and the asymmetric torque limiter can improve the torsional vibration characteristics of the drivetrain, they cannot mitigate TTRs in terms of eliminating the bearing slip risk associated with TTRs. However, the novel approach proposed here can mitigate TTRs both in terms of improving the torque characteristic in the high-speed shaft and reducing the risk of bearing slip by actuating the high-speed shaft brake at the onset of the transient event. Furthermore, the control method is capable of mitigating TTRs with the mechanical limitations of a pneumatic actuator in terms of bandwidth and initial dead time applied to it. This novel approach allows the wind turbines to protect the gearbox bearings from TTRs using the existing hardware on the turbine.","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47597718","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

Aero‐servo‐elastic co‐optimization of large wind turbine blades with distributed aerodynamic control devices 采用分布式气动控制装置的大型风力涡轮机叶片气动伺服弹性协同优化

IF 4.1 3区工程技术

Wind Energy Pub Date : 2023-05-30 DOI: 10.1002/we.2840

N. Abbas, P. Bortolotti, C. Kelley, J. Paquette, L. Pao, Nick Johnson

{"title":"Aero‐servo‐elastic co‐optimization of large wind turbine blades with distributed aerodynamic control devices","authors":"N. Abbas, P. Bortolotti, C. Kelley, J. Paquette, L. Pao, Nick Johnson","doi":"10.1002/we.2840","DOIUrl":"https://doi.org/10.1002/we.2840","url":null,"abstract":"This work introduces automated wind turbine optimization techniques based on full aero-servo-elastic models and investigates the potential of trailing edge flaps to reduce the levelized cost of energy (LCOE) of wind turbines. The Wind Energy with Integrated Servo-control (WEIS) framework is improved to conduct the presented research. Novel methods for the generic implementation and tuning of trailing edge flap devices and their controller are also introduced. Primary flap and controller parameters are optimized to demonstrate potential maximum blade tip deflection reductions of 21 % . Concurrent design optimization (i.e., co-design) of a novel segmented wind turbine blade with trailing edge flaps and its controller is then conducted to demonstrate blade cost savings of 5 % . Additionally, rotor diameter co-design optimization is demonstrated to reduce the LCOE by 1.3 % without significant load increases to the tower. These results demonstrate the efficacy of control co-design optimization using trailing edge flaps, and the entirety of this work provides a foundation for numerous control co-design-oriented studies for distributed aerodynamic control devices.","PeriodicalId":23689,"journal":{"name":"Wind Energy","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48241177","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: 3