Results 91 to 100 of about 14,560 (270)

Reliability and O&M key performance indicators of onshore and offshore wind turbines based on field-data analysis [PDF]

Wind Energy Science
Based on maintenance data from over 1000 onshore and offshore wind turbines covering more than 4200 operating years, this study presents an analysis of failure rates, repair times, and maintenance resource requirements, focusing on subsystem-level ...
J. Walgern, J. Walgern, N. Stratmann, N. Stratmann, M. Horn, M. Horn, N. W. Y. Then, N. W. Y. Then, M. Menzel, M. Menzel, F. Anderson, F. Anderson, A. Kolios, A. Kolios, K. Fischer   +14 more
doaj   +1 more source

Empirical Physics‐Based Normal Behavior Modeling of Drive Train Temperatures With High‐Resolution Wind Turbine Operating Data

Wind Energy, EarlyView.
ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein, Victor von Maltzahn, Karoline Pelka   +2 more
wiley   +1 more source

Advanced Concept Offshore Wind Turbine Development

Journal of Advanced Computational Intelligence and Intelligent Informatics, 2014
Development of novel offshore wind turbine designs and technologies are necessary to reduce the cost of offshore wind energy since offshore wind turbines need to withstand ice and waves in addition to wind, a markedly different environment from their onshore counterparts.
Abdollah A. Afjeh, Brett Andersen, Jin Woo Lee, Mahdi Norouzi, Efstratios Nikolaidis   +4 more
openaire   +1 more source

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

Artificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley   +1 more source

Improved cost energy comparison of permanent magnet generators for large offshore wind turbines

, 2014
This paper investigates geared and direct-drive permanent magnet generators for a typical offshore wind turbine, providing a detailed comparison of various wind turbine drivetrain configurations in order to minimise the Cost of Energy.
McDonald, A., Hart, K., Hart, K. (author), Hart, Kerri, Polinder, H., McDonald, A. (author), Corr, E., Carroll, J. (author), McDonald, Alasdair, Polinder, Henk, Polinder, H. (author), Carroll, James, Carroll, J., Corr, E. (author), Corr, Edward Joseph   +14 more
core  

Multi‐Strategy Synergy‐Based Differential Evolution for Large Wind Farm Layout Optimization

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Exploring clean energy alternatives to fossil fuels has become a major research focus worldwide. Wind energy is regarded as one of the most promising renewable energy sources due to its clean and sustainable nature. However, wake interactions among turbines significantly reduce power conversion efficiency, making wind farm layout optimization (
Haotian Li, Yifei Yang, Qiong Fu, Zhenyu Lei, Zhe Xu, Shangce Gao   +5 more
wiley   +1 more source

Modelling the impact of the environment on offshore wind turbine failure rates

, 2013
For offshore wind turbines to become an economical energy generation option it is vital that the impact of the offshore environment on reliability is understood.
Wilson, Graeme, McMillan, David
core  

Towards practical oscillation detection in wind farms: Comparative study of AI models, novel metrics, and edge implementations

Energy Conversion and Economics, EarlyView.
Abstract Fast oscillations observed in wind farms and other renewable energy systems interfaced with power grids must be addressed promptly to prevent devastating shutdown and damage. Existing approaches mainly target high‐magnitude oscillations using data‐intensive convolutional neural networks (CNNs), leading to delayed detection and overlooking mild
Shyam Yathirajam, Arash Peighambari, Valeria Romero, Christopher Rubin, Nikil Balaji, Hamed Nademi, Sreedevi Gutta, Justin Morris, Ali Ahmadinia   +8 more
wiley   +1 more source

Analysis of dynamic response of offshore wind turbines subjected to ship impacts and the corresponding protection measures: a review

Frontiers in Energy Research
Offshore wind energy is characterized by its clean and renewable nature, leading to rapid growth in the industry. However, the incidence of ship collisions with offshore wind turbines has also risen with the increasing number of offshore wind farms ...
Lu Ma, Jieyi Ding, Xianfeng Zhang, Wubin Wang, Xiong Zhao, Chongbo Sun, Yang Yang   +6 more
doaj   +1 more source

Full‐stage risk management of forecast deviation for large‐scale renewable energy participating in the spot market

Energy Conversion and Economics, EarlyView.
Abstract Against the backdrop of renewable energy achieving full market integration, renewable energy forecasting deviations have become a critical bottleneck constraining the clearing efficiency of electricity spot markets, hindering the rational allocation of costs, and threatening the secure operation of the power system.
Sicheng Xu, Ruoyi Zhang, Jingwei Chen, Si Zhang, Li Yang, Zhenzhi Lin   +5 more
wiley   +1 more source