Floating fan integrated coupling simulation method and system under typhoon sea condition
By constructing a hybrid wind field and typhoon wave model and combining it with simulation software for coupled wind and wave simulation, the problem of low accuracy in typhoon wave simulation was solved, the accuracy and efficiency of load calculation were improved, the extreme value prediction method was optimized, and a more accurate design of floating wind turbine units was achieved.
Patent Information
- Application Number
- CN202511458945.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-13
- Publication Date
- 2026-01-23
AI Technical Summary
Existing technologies are not accurate enough when simulating typhoon and wave conditions, resulting in inaccurate load calculations for integrated floating wind turbine designs. Furthermore, extreme value statistical methods are too conservative and have randomness.
A hybrid wind field was constructed by superimposing the Holland theoretical model with the ECMWF sea surface wind field. Typhoon waves were simulated using global topographic data. The wave spectrum was generated using the SWAN model, and the time series was generated using MATLAB. The time series was then imported into OpenFAST software for wind-wave coupled simulation. The extreme values of the response were predicted by combining the average penetration rate method and the polynomial fitting extrapolation method.
It improves the accuracy and efficiency of floating wind power load calculation under typhoon sea conditions, avoids the randomness of extreme value prediction, and optimizes load design.
Smart Images
Figure CN121389867A_ABST
Abstract
Description
Technical Field
[0001] This invention mainly relates to the field of floating offshore wind power, specifically to an integrated coupled simulation method and system for floating wind turbines under typhoon sea conditions. Background Technology
[0002] As wind turbines extend into deeper waters, they face increasingly harsh environmental loads. Particularly in the South China Sea, typhoons of varying intensities strike annually, posing significant challenges to offshore wind farms after their passage. Typhoons bring extreme wind speeds, abrupt changes in wind direction, and abnormal turbulence, causing severe damage to wind turbines. The accompanying waves also pose serious threats to the platform structure. Furthermore, the coupling effect of wind and waves presents a significant challenge to the wind turbines. Therefore, mastering the simulation of typhoon waves is of great importance in the simulation calculations of floating wind turbines.
[0003] In existing technologies, typhoon wave simulations in the floating wind power field are mostly based on annual extreme value sampling to select combined operating conditions, using the Jonswap spectrum to directly simulate typhoon waves. However, since the wave spectrum is derived from long-term observation data of the North Sea in Europe, it is affected by differences in water depth, water temperature, and meteorological conditions. Furthermore, the European seas rarely experience the impact of extreme weather events such as typhoons. Therefore, directly using the Jonswap spectrum cannot simulate the actual typhoon wave situation, resulting in low accuracy in the integrated design load calculation of floating wind turbine units.
[0004] In addition, in response extreme value statistics, only the maximum value of the time history response is usually considered. However, the extreme values obtained in this way will be random and too conservative. Summary of the Invention
[0005] To address the technical problems existing in the prior art, this invention provides an integrated coupled simulation method and system for floating wind turbines under typhoon sea conditions that improves the accuracy and efficiency of floating wind power load calculation.
[0006] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows: An integrated coupled simulation method for floating wind turbines under typhoon sea conditions includes the following steps: Wind field using Holland theoretical model With ECMWF sea surface wind field Superimposed structure of mixed wind fields ; Using a mixed wind field as the input wind field for the SWAN model, and combining it with measured topographic data from a global topographic dataset, a typhoon wave model was established to obtain typhoon wave spectra at different time points during the typhoon's landfall process. ; According to the typhoon wave spectrum Typhoon wave time series were generated by superposition using the linear theory of irregular waves. ; Based on the maximum wind speed at different time periods during the typhoon's landfall process, a three-dimensional time-domain turbulent wind field was simulated. The turbulent wind field, typhoon wave time series, and hydrodynamic coefficients are input into the OpenFAST software, and the simulation conditions are set to perform wind and wave coupled integrated simulation to obtain structural response and motion response time history data.
[0007] Preferably, after obtaining the response time history data, the average penetration rate method is used to calculate the penetration rate within a specified time interval, and the extreme value of the response under probability P is estimated by combining the polynomial fitting extrapolation method.
[0008] Preferably, the extrapolation time interval Extreme values of response within for:
[0009] in for The time interval is The sample penetration rate over time.
[0010] Preferably, sample penetration rate Specifically:
[0011] in Time interval Inside, The average penetration rate at that time.
[0012] Preferably, a mixed wind field Specifically: ; in for The corresponding weights.
[0013] Preferably, typhoon wave timing Specifically: ; in Indicates the wave frequency. Indicates the first The angular frequency of a wave frequency, Represents angular frequency. Indicates the first The phase angle of each wave frequency, Indicates the simulation time.
[0014] Preferably, the three-dimensional time-domain turbulent wind field is simulated using the TurbSim program; the typhoon wave time series is generated by writing a MATLAB program. .
[0015] The present invention also discloses a computer program product, comprising a computer program that, when executed by a processor, performs the steps of the method described above.
[0016] The present invention further discloses a computer-readable storage medium having a computer program stored thereon, the computer program executing the steps of the method described above when run by a processor.
[0017] The present invention also discloses an integrated coupled simulation system for floating wind turbines under typhoon sea conditions, including a memory and a processor connected to each other. The memory stores a computer program, and the computer program executes the steps of the method described above when run by the processor.
[0018] Compared with the prior art, the advantages of the present invention are as follows: This invention takes a typhoon making landfall in a specific region as an example. Based on the marine meteorological and environmental conditions during the typhoon's landfall process, a mixed wind field is simulated. This mixed wind field drives the SWAN model, and combined with measured topographic data from the ETOPO1 global topographic dataset, typhoon waves are simulated. The simulated typhoon wave spectrum is then used to generate wave time series using MATLAB, and finally imported into the wind turbine simulation software OpenFAST for integrated simulation analysis. This invention applies typhoon wave simulation methods from meteorology and oceanography to the integrated simulation of floating wind turbines, more realistically reflecting the wave conditions during typhoon landfall. It effectively solves the problem of poor accuracy in Jonswap spectrum simulation of typhoon waves, improving the accuracy and efficiency of floating wind power load calculation. Simultaneously, a new statistical method for response extrema is introduced, using the average penetration rate method combined with polynomial fitting to extrapolate response extrema, avoiding the randomness of extrema prediction and facilitating load optimization. Attached Figure Description
[0019] Figure 1 The flowchart is shown in an embodiment of the integrated coupled simulation method for floating wind turbines under typhoon sea conditions of the present invention.
[0020] Figure 2 This is a flowchart for predicting the extreme values of the time-series load of the floating wind turbine in this invention. Detailed Implementation
[0021] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.
[0022] like Figure 1 As shown in the embodiment of the present invention, the integrated coupled simulation method for floating wind turbines under typhoon sea conditions includes the following steps: S1, Constructing a hybrid wind field High-quality typhoon wave simulation is closely related to the quality of the wind field. This invention synthesizes a mixed wind field based on Holland's theoretical wind field and remote sensing measurements of the background wind field. The mixed wind field can better account for the wind field far from the typhoon center during the typhoon's passage and after its formation and attenuation.
[0023] Specifically, the establishment of the mixed wind field: the wind field quality has a significant impact on the numerical simulation results of typhoon waves. This invention adopts the Holland theoretical model of the wind field. With ECMWF sea surface wind field Superimposed structure of mixed wind fields : ; in for The corresponding weights; S2, Simulated Typhoon Wave Spectrum Using a mixed wind field as the input wind field for the SWAN (Simulating Waves Nearshore) model, and combining it with measured topographic data from the ETOPO1 global topographic dataset, a typhoon wave model was established to obtain typhoon wave spectra at different time points during the typhoon's landfall process. : ; S3. Generate typhoon wave time series: Based on the simulated typhoon wave spectrum... By utilizing the linear superposition theory of irregular waves, and then using a MATLAB program, typhoon wave time series were generated. : ; in Indicates the wave frequency. Indicates the first The angular frequency of a wave frequency, Represents angular frequency. Indicates the first The phase angle of each wave frequency, Indicates the simulation time.
[0024] S4, Integrated Coupled Simulation: The integrated coupled simulation of the floating wind turbine is based on the OpenFAST software, which includes the AeroDyn aerodynamic module, the HydroDyn hydrodynamic module, the ElastoDyn elastic dynamic module, the SevoDyn servo control module, and the MoorDyn mooring module.
[0025] Turbulent wind field simulation: Based on the maximum wind speed at different time periods during the typhoon's landfall process, the TurbSim program was used to simulate a three-dimensional time-domain turbulent wind field; Simulation calculation: The turbulent wind field, typhoon wave time series, and hydrodynamic coefficients calculated by marine engineering software (such as Sesam) are input into OpenFAST software. The simulation conditions are set to perform wind and wave coupled integrated simulation to obtain structural response and motion response time history data.
[0026] S5. Extreme value response statistics: The average penetration rate method is used to calculate the penetration rate within a specified time interval for the response time history data of S4, and the extreme value of the response under probability P is estimated by combining the polynomial fitting extrapolation method.
[0027] Unlike traditional methods that obtain response extrema by taking the maximum value, this invention uses the average penetration rate method combined with polynomial fitting extrapolation to predict the response extrema from the simulated response time history data. That is, the probability that the response value exceeds this value is P. Figure 2 As shown.
[0028] Specifically, for The time interval is Time course, sample penetration rate for:
[0029] in Time interval Inside, The average penetration rate over time can be obtained through the dynamic response time history.
[0030] At any time interval If the dynamic response is not narrowband, then the upward penetration count is statistically independent at high levels. This can be achieved by fitting the penetration-response relationship using a polynomial and extrapolating the time interval. Extreme values of response within for:
[0031] This invention takes a typhoon making landfall in a specific region as an example. Based on the marine meteorological and environmental conditions during the typhoon's landfall process, a mixed wind field is simulated. This mixed wind field drives the SWAN model, and combined with measured topographic data from the ETOPO1 global topographic dataset, typhoon waves are simulated. The simulated typhoon wave spectrum is then used to generate wave time series using MATLAB, and finally imported into the wind turbine simulation software OpenFAST for integrated simulation analysis. This invention applies typhoon wave simulation methods from meteorology and oceanography to the integrated simulation of floating wind turbines, more realistically reflecting the wave conditions during typhoon landfall. It effectively solves the problem of poor accuracy in Jonswap spectrum simulation of typhoon waves, improving the accuracy and efficiency of floating wind power load calculation. Simultaneously, a new statistical method for response extrema is introduced, using the average penetration rate method combined with polynomial fitting to extrapolate response extrema, avoiding the randomness of extrema prediction and facilitating load optimization.
[0032] This invention also discloses a computer program product, including a computer program that, when run by a processor, performs the steps of the method described above. This invention further discloses a computer-readable storage medium storing a computer program that, when run by a processor, performs the steps of the method described above. This invention also discloses an integrated coupled simulation system for floating wind turbines under typhoon sea conditions, including an interconnected memory and a processor. The memory stores a computer program that, when run by a processor, performs the steps of the method described above. The products, media, and systems of this invention correspond to the methods described above and also possess the advantages described above.
[0033] The present invention can implement all or part of the processes in the methods of the above embodiments, or it can be implemented by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the above method embodiments. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium includes: any entity or device capable of carrying computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. The memory is used to store computer programs and / or modules. The processor implements various functions by running or executing the computer programs and / or modules stored in the memory, and by calling data stored in the memory. The memory may include high-speed random access memory, as well as non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital (SD) cards, flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.
[0034] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should be considered within the scope of protection of the present invention.
Claims
1. An integrated coupled simulation method for floating wind turbines under typhoon sea conditions, characterized in that, Including the following steps: Wind field using Holland theoretical model With ECMWF sea surface wind field Superimposed structure of mixed wind fields ; With mixed wind fields The wind field was used as the input to the SWAN model, and a typhoon wave model was established by combining measured topographic data from a global topographic dataset, thereby obtaining the typhoon wave spectrum at different time points during the typhoon's landfall process. ; According to the typhoon wave spectrum Typhoon wave time series were generated by superposition using the linear theory of irregular waves. ; Based on the maximum wind speed at different time periods during the typhoon's landfall process, a three-dimensional time-domain turbulent wind field was simulated. The turbulent wind field, typhoon wave time series, and hydrodynamic coefficients are input into the OpenFAST software, and the simulation conditions are set to perform wind and wave coupled integrated simulation to obtain structural response and motion response time history data.
2. The integrated coupled simulation method for floating wind turbines under typhoon sea conditions as described in claim 1, characterized in that, After obtaining the response time history data, the average penetration rate method is used to calculate the penetration rate within a specified time interval, and the extreme values of the response under probability P are estimated by combining the polynomial fitting extrapolation method.
3. The integrated coupled simulation method for floating wind turbines under typhoon sea conditions as described in claim 2, characterized in that, Extreme values of response under predicted probability P for: in for The time interval is The sample penetration rate over time; This is the extrapolation time interval.
4. The integrated coupled simulation method for floating wind turbines under typhoon sea conditions as described in claim 3, characterized in that, Sample penetration rate Specifically: in Time interval Inside, The average penetration rate at that time.
5. The integrated coupled simulation method for floating wind turbines under typhoon sea conditions according to any one of claims 1-4, characterized in that, Mixed wind field Specifically: ； in for The corresponding weights.
6. The integrated coupled simulation method for floating wind turbines under typhoon sea conditions according to any one of claims 1-4, characterized in that, Typhoon wave sequence Specifically: ； in Indicates the wave frequency. Indicates the first The angular frequency of a wave frequency, Represents angular frequency. Indicates the first The phase angle of each wave frequency, Indicates the simulation time.
7. The integrated coupled simulation method for floating wind turbines under typhoon sea conditions according to any one of claims 1-4, characterized in that, Three-dimensional time-domain turbulent wind fields were simulated using the TurbSim program; typhoon wave time series were generated by writing a MATLAB program. .
8. A computer program product, comprising a computer program, characterized in that, The computer program is executed by the processor to perform the steps of the method as described in any one of claims 1-7.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program, when run by a processor, performs the steps of the method as described in any one of claims 1-7.
10. An integrated coupled simulation system for floating wind turbines under typhoon sea conditions, comprising an interconnected memory and a processor, wherein the memory stores a computer program, characterized in that... The computer program, when run by a processor, performs the steps of the method as described in any one of claims 1-7.