8 results ·
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M
mdpi.com
article
https://www.mdpi.com/1996-1073/16/3/1081
A Review of Recent Aerodynamic Power Extraction Challenges in Coordinated Pitch, Yaw, and Torque Control of Large-Scale Wind Turbine Systems. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal. The concept of a space–time comparison at the wind farm level is leveraged by analyzing the operation curves of the wind turbines and by comparing the simulated average wind field against the measured one, where each wind turbine is treated like a virtual meteorological mast. This means that in case the wind turbine is situated in a harsh environment [5] or is operating incorrectly (for example, if it is subjected to systematic yaw error [6,7]), the interaction between the wind field and the wind turbine rotor is different with respect to standard conditions and typically unpredictable. The rationale for this analysis is that a possible anemometer bias at a wind turbine could be individuated in the form of a mismatch between the simulated wind field and the wind field measured by the nacelle anemometer of the wind turbine of interest.
I
iro.uiowa.edu
research
https://iro.uiowa.edu/esploro/outputs/doctoral/Performance-optimization-of-wi…
The performance optimization of a wind farm is to minimize the total cost of operating a wind farm based on the computed turbine scheduling strategies. The
Y
youtube.com
video
https://www.youtube.com/watch?v=GGj9MxbgZek
Offshore Wind Explained E4: What are the differences of frequency domain and time domain methods?
DNV - Digital Solutions
6520 subscribers
32 likes
25330 views
18 Jul 2024
In this video, Jens Lohne Eftang, Principal Computational Scientist and technical lead for Sesam workflows for floating offshore wind, explains the differences between frequency domain and time domain methods.
Read more about time domain method here: https://www.dnv.com/article/time-domain-analysis-for-floating-offshore-wind-substructure-design/
And frequency domain method here: https://www.dnv.com/article/frequency-domain-analysis-for-floating-offshore-wind-substructure-design-251935/
As offshore structures become more complex, the computational models also become larger, leading to more expensive analyses. Choosing the right methodology for the design phase is critical, and the key is to minimize computational cost while maintaining required accuracy. This is a significant challenge for floating offshore wind substructures. We've worked closely with partners and customers to provide new solutions to this challenge.
Frequency Domain Methods
The frequency domain uncoupled method is the quickest method available in Sesam, typically used for initial sizing, early design, or prototype phases. This method involves a hydrodynamic and finite element analysis of the wave-induced structure response for specified wave directions and frequencies. It accounts for moorings and includes the wind turbine represented as a point mass, with wind loads provided by the manufacturer for fatigue (FLS) or ultimate limit state (ULS) analysis. While fast, this method has some limitations and assumptions that need consideration.
Time Domain Methods
Sesam offers three time domain workflows that balance performance and accuracy differently. In general, time domain methods are more accurate than frequency domain methods because they consider the simultaneous effects of wind and wave loading.
1. Time Domain Direct Load Generation Method: The most general method, generating hydrodynamic pressure and Morrison loads directly in the time domain before mapping them to a finite element structure. This method explores nonlinear hydrodynamic effects and dynamic local structure response, serving as a baseline for using faster methods.
2. Time Domain Load Reconstruction Method: A faster method, reconstructing pressure using results from coupled analysis combined with precomputed pressure components associated with unit waves and motions. It allows for dynamic or quasi-static local structure response but cannot include nonlinear hydrodynamic effects.
3. Time Domain Response Reconstruction Method: The fastest time domain method, reconstructing local quasi-static structure response using coupled analysis results and precomputed responses associated with unit waves, motions, and loads. This method avoids separate finite element analysis, reducing simulation time from hours to minutes for each design load case.
Chapters:
0:00-0:20 Introducing Jens Lohne Eftang
0:20-0:55Choosing the right methodology when offshore structures become more complex
0:55-01:43 The frequency domain uncoupled method
01:43-02:41 Sesam offers three time-domain workflows which in different ways balance performance and accuracy.
02:41-03:22 The Time Domain Load reconstruction method
03:22-04:28 Time Domain Response Reconstruction method
04:28-04:40 Thank you for watching
Subscribe to our channel and stay tuned: https://www.youtube.com/playlist?list=PL2EsH0WLHwsxENZGBjz8B3fBdl5Mf4RFF
#FloatingOffshoreWind #Sesam #FrequencyDomain #TimeDomain #DNV
S
sciencedirect.com
article
https://www.sciencedirect.com/science/article/abs/pii/S0029801824010436
This study examined the effect of yaw optimization control on the fatigue life of offshore wind turbines using tower bolts.
N
nature.com
article
https://www.nature.com/articles/s41598-025-27896-9
# Improving wind power prediction with advanced temporal and frequency domain processing combined with error correction. Accurate prediction of wind power is crucial for grid scheduling and the integration of renewable energy, given its significant temporal variability and nonlinear characteristics. This study proposed a multi-module integrated model for wind power forecasting based on time–frequency domain analysis, aiming to enhance prediction accuracy and reliability. The mode9l combined several advanced techniques, including Wavelet Convolutions (WTC), Long Short-Term Memory Networks (LSTM), Time Series Lightweight Adaptive Network (TSLANet), Frequency Enhanced Channel Attention Mechanism (FECAM), and Fast Kolmogorov-Arnold Networks (FastKAN). Each module was designed to capture distinct characteristics in wind power data, such as local frequency features, temporal dependencies, global contextual information, frequency-domain features, and complex nonlinear relationships. Through the integration of these modules, the model achieved high-precision predictions in multi-scale and dynamic environments. Experimental results showed that the model delivered exceptional performance across various test scenarios, significantly improving the handling of multi-scale, complex nonlinear, and global dependency issues in wind power forecasting, demonstrating considerable application potential.
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xmpro.com
article
https://xmpro.com/solutions-library/wind-turbine-performance-optimization
A global mining major used XMPro digital twins to turn vibration signals into maintenance action. Assistants, AI Advisors, and Cognitive Decision Teams powered by MAGS. XMPro Agentic Operations Platform — operator running governed decision flow. ### From industrial signal to governed agentic operations. The operating layers from signal to governed action: DataStreams, OCE, AI Flow, MAGS, AppDesigner, FRS. How industrial operations move from monitoring to governed agentic action. XMPro named as a Sample Vendor for Agentic AI in the Gartner Hype Cycle for Cloud Computing, 2026. The XMPro AO Platform monitors wind, turbine and gearbox telemetry continuously, predicts component degradation, and surfaces ranked recommendations to tune blade pitch, yaw and rotation speed — across every turbine in the farm. A live picture of every turbine on the farm — fed by the sensors already on the asset, with predicted failure modes ranked by yield and reliability impact, and operating recommendations tied to current wind conditions.
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researchgate.net
research
https://www.researchgate.net/publication/274865211_Frequency_Versus_Time_Doma…
The current paper addresses a study of a semi-submersible wind turbine, where tower base bending moments and short term tower fatigue damage was estimated
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dnv.com
article
https://www.dnv.com/article/time-domain-analysis-for-floating-offshore-wind-s…
# Time domain analysis for floating offshore wind substructure design. The expansion of the offshore wind industry to deeper water depths requires the usage of floating wind support structures, bringing new challenges to the industry. * Time Domain Direct Load Generation method: This is the most general method where hydrodynamic pressure and Morison loads are generated directly in the time domain before they are mapped to a structural Finite Element model. * Time Domain Load Reconstruction method: This method is an evolution of the Direct Load Generation method and can be used to drastically reduce the computational cost associated with hydrodynamic load generation. This method is the fastest and may reduce the simulation time from hours for direct simulation to just a few minutes. Frequency domain analysis for floating offshore wind substructure design. Webinar: New fast time domain simulation methods for floating wind substructure design.