Validation of a FAST semi-submersible floating wind turbine numerical model with DeepCwind test data

Coulling, Alexander J.; Goupee, Andrew J.; Robertson, Amy; Jonkman, Jason; Dagher, Habib J.

doi:10.1063/1.4796197

Cited by 269 publications

(168 citation statements)

References 21 publications

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“…However, it is reported that the generated wind field by the Fluent code decays rapidly in the inertial range and is not well approximated as the marine random wind [26]. The power spectral density (PSD) of the fluctuating wind is fitted by NPD (Norwegian Petroleum Directorate) spectrum in the present study [22]:…”

Section: Boundary Conditionsmentioning

confidence: 99%

“…Using the Figure 8: (a) Boundary layer profile at 1st time step at the inlet obtained to simulate the NPD profile [22]. (b) Turbulence intensity measurements at 1st time step at the inlet for NPD profile [22]. (c) Boundary layer profile at 100th time step at 100 m in front of the CFD numerical model obtained to simulate the NPD profile [22].…”

Section: Cfd Wind Tunnel Predictions the Present Work Inmentioning

confidence: 99%

“…The wind speeds of the grid nodes in the inlet boundary are simulated by the MS method mentioned in Section 3 using self-compiled MATLAB codes. Using the Figure 8: (a) Boundary layer profile at 1st time step at the inlet obtained to simulate the NPD profile [22]. (b) Turbulence intensity measurements at 1st time step at the inlet for NPD profile [22].…”

Section: Cfd Wind Tunnel Predictions the Present Work Inmentioning

confidence: 99%

“…where and 0 are the average wind velocities at the height of and 0 and is related to geomorphologic features [22].…”

Section: Boundary Conditionsmentioning

confidence: 99%

“…The time series of the extracted wind pressures are applied to the offshore structures and the wind-induced dynamic responses are calculated by time-domain analysis method together with APDL solving the structural dynamic equation as follows: (4) is solved by the Newmark-approach in this present study [22].…”

Section: Wind-induced Structural Response Analysesmentioning

confidence: 99%

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Numerical Simulation of Fluctuating Wind Effects on an Offshore Deck Structure

Zhou

Han

et al. 2017

Shock and Vibration

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The offshore structures that play a vital role in oil and gas extraction are always under complicated environmental conditions such as the random wind loads. The structural dynamic response under the harsh wind is still an important issue for the safety and reliable design of offshore structures. This study conducts an investigation to analyze the wind-induced structural response of a typical offshore deck structure. An accurate and efficient mixture simulation method is developed to simulate the fluctuating wind speed, which is then introduced as the boundary condition into numerical wind tunnel tests. Large eddy simulation (LES) is utilized to obtain the time series of wind pressures on the structural surfaces and to determine the worst working condition. Finally, the wind-induced structural responses are calculated by ANSYS Parametric Design Language (APDL). The numerically predicted wind pressures are found to be consistent with the existing experimental data, demonstrating the feasibility of the proposed methods. The wind-induced displacements have the certain periodicity and change steadily. The stresses at the top of the derrick and connections between deck and derrick are relatively larger. These methods as well as the numerical examples are expected to provide references for the wind-resistant design of the offshore structures.

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Section: Boundary Conditionsmentioning

confidence: 99%

Section: Cfd Wind Tunnel Predictions the Present Work Inmentioning

confidence: 99%

Section: Cfd Wind Tunnel Predictions the Present Work Inmentioning

confidence: 99%

“…where and 0 are the average wind velocities at the height of and 0 and is related to geomorphologic features [22].…”

Section: Boundary Conditionsmentioning

confidence: 99%

Section: Wind-induced Structural Response Analysesmentioning

confidence: 99%

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Numerical Simulation of Fluctuating Wind Effects on an Offshore Deck Structure

Zhou

Han

et al. 2017

Shock and Vibration

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Intelligent Control for Floating Offshore Wind Turbines Based on Game Theory with Data‐Driven and Reliability Awareness

Zhang

Yang

2023

Energy Tech

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To address the challenges of complex modeling and control objective conflicts, a game control scheme based on data‐driven and reliability awareness is proposed for floating offshore wind turbines (FOWTs). In this scheme, first, an enhanced model‐free adaptive control method with the integration of iterative learning is proposed, which utilized online data for driving modeling and control command derivation to ensure the functionality of the FOWT and maintain stable power generation. Then, a healthy reliability‐aware model of the pitching system is developed and integrated into the controller of FOWTs. Finally, a trade‐off between the reliability and functionality of FOWTs is intelligently made through bargaining game theory to derive reasonable control commands. Simulation experiments of the proposed control scheme are carried out using FAST under different wind conditions. The results show that, compared with the gain‐scheduled PI controller and model‐free adaptive controller, the output power of the proposed controller is more stable and the pitch motion of the FOWT is significantly reduced; compared with the improved model‐free adaptive controller, the proposed controller improves the reliability of the pitch system.

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Deconvolution approach for floating wind turbines

Liu

Gaidai

Sun

et al. 2023

Energy Science & Engineering

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Green renewable energy is produced by floating offshore wind turbines (FOWT), a crucial component of the modern offshore wind energy industry. It is a safety concern to accurately evaluate excessive weights while the FOWT operates in adverse weather conditions. Under certain water conditions, dangerous structural bending moments may result in operational concerns. Using commercial FAST software, the study's hydrodynamic ambient wave loads were calculated and converted into FOWT structural loads. This article suggests a Monte Carlo‐based engineering technique that, depending on simulations or observations, is computationally effective for predicting extreme statistics of either the load or the response process. The innovative deconvolution technique has been thoroughly explained. The suggested approach effectively uses the entire set of data to produce a clear but accurate estimate for severe response values and fatigue life. In this study, estimated extreme values obtained using a novel deconvolution approach were compared to identical values produced using the modified Weibull technique. It is expected that the enhanced new de‐convolution methodology may offer a dependable and correct forecast of severe structural loads based on the overall performance of the advised de‐convolution approach due to environmental wave loading.

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Validation of a FAST semi-submersible floating wind turbine numerical model with DeepCwind test data

Cited by 269 publications

References 21 publications

Numerical Simulation of Fluctuating Wind Effects on an Offshore Deck Structure

Numerical Simulation of Fluctuating Wind Effects on an Offshore Deck Structure

Intelligent Control for Floating Offshore Wind Turbines Based on Game Theory with Data‐Driven and Reliability Awareness

Deconvolution approach for floating wind turbines

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