CN116992793A - Offshore wind energy resource simulation method, device, equipment and medium - Google Patents
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Abstract
The invention relates to the technical field of offshore wind energy resource utilization, and discloses a method, a device, equipment and a medium for offshore wind energy resource simulation.
Description
Technical Field
The invention relates to the technical field of offshore wind energy resource utilization, in particular to a method, a device, equipment and a medium for offshore wind energy resource simulation.
Background
In the field of offshore wind energy resource utilization, simulation results of regional mesoscale modes or global atmospheric analysis data are generally selected for the evaluation and research work of developing offshore wind energy resources. The data have horizontal resolution of 1km-10km and vertical resolution of more than 3 layers in 200m height, and can basically simulate various scale processes in an atmospheric boundary layer, including an atmospheric background flow field of more than 1000km, medium and small scale processes such as cyclone of 1-100 km and boundary layer turbulence processes of about 1 km.
Although the simulation of the offshore wind energy resource is less affected by the fluctuation of the topography compared with the land, the disturbance of the sea temperature and the disturbance of the sea surface wind field have a remarkable correlation, and the temperature and stability change of the atmosphere are affected. In the original mode, a fixed climatic state sea temperature field is adopted to force the atmosphere, so that the sea interaction process is ignored, and the method is insufficient for accurately simulating the offshore wind energy resource. Meanwhile, the tidal movement of the wind field and the sea water on the sea promotes the generation of sea waves, the sea waves further change the roughness of the sea surface, the momentum exchange process of the sea and the atmosphere is affected, and if the interaction of the wind field and the sea waves is ignored, larger errors of the wind field simulated by the offshore wind energy resource can be necessarily caused.
Disclosure of Invention
In view of the above, the invention provides a method, a device, equipment and a medium for simulating the offshore wind energy resource, which are used for solving the problem of larger error of the simulation result of the offshore wind energy resource in the prior art.
In a first aspect, the present invention provides a method for simulating a wind energy resource at sea, the method comprising:
acquiring an offshore hydro-meteorological information data set, wherein the offshore hydro-meteorological information data set comprises an atmosphere resource data set, a ocean resource data set and a sea wave resource data set; processing the marine hydrological information data set by a preset first data processing method to generate a marine hydrological information data boundary condition set; coupling the atmosphere resource data set, the ocean resource data set and the sea wave resource data set by utilizing a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set; and processing the offshore wind energy resource simulation data by a preset second data processing method to obtain an offshore wind energy resource simulation result.
According to the offshore wind energy resource simulation method provided by the invention, the resource data information of the atmosphere, the ocean and the sea wave is obtained simultaneously, the resource data information of the atmosphere, the ocean and the sea wave is exchanged at regular time by utilizing the target offshore wind energy resource coupling mode based on the target coupler, the fusion of three data is realized, and finally, the fused data is utilized for simulation, so that the error of the offshore wind energy resource simulation is reduced.
In an alternative embodiment, after the marine hydro-meteorological information data set is processed by a preset first data processing method, a marine hydro-meteorological information data boundary condition set is generated, including:
processing the marine hydrological information data set by a preset first data processing method to obtain a target marine hydrological information data set; a target set of marine hydro-meteorological information data is initialized and a set of marine hydro-meteorological information data boundary conditions is generated.
According to the invention, the marine hydrological meteorological information data set is processed to generate the marine hydrological meteorological information data boundary condition set which meets the conditions, so that boundary constraint is provided for fusion of data in the marine hydrological meteorological information data set, and the error of the simulation of the marine wind energy resource can be further reduced.
In an alternative embodiment, the method further comprises:
acquiring a preset meteorological value atmospheric component mode, a preset regional ocean component mode and a preset ocean wave value component mode; and processing the target coupler based on the preset meteorological value atmospheric component mode, the preset regional ocean component mode and the preset ocean wave value component mode to obtain a target offshore wind energy resource coupling mode based on the target coupler.
According to the invention, the atmospheric component mode of the preset meteorological value, the ocean component mode of the preset area and the ocean component mode of the preset ocean wave value are coupled, the type of each data in the marine hydrological information dataset is considered, the accuracy of data fusion is improved, and the error of the marine wind energy resource simulation can be further reduced.
In an alternative embodiment, the processing of the target coupler based on the preset weather value atmospheric component mode, the preset regional ocean component mode and the preset ocean wave value component mode to obtain a target offshore wind energy resource coupling mode based on the target coupler includes:
based on a preset meteorological value atmospheric component mode and a preset area ocean component mode, processing by a target coupler, and establishing an atmospheric ocean coupling mode based on the target coupler; based on a preset meteorological value atmospheric component mode and a preset sea wave value component mode, processing by a target coupler, and establishing an atmospheric sea wave coupling mode based on the target coupler; based on the ocean component mode of the preset area and the ocean wave numerical component mode, the ocean wave coupling mode based on the target coupler is established through the processing of the target coupler; and determining a target offshore wind energy resource coupling mode based on the target coupler according to the atmospheric ocean coupling mode based on the target coupler, the atmospheric ocean coupling mode based on the target coupler and the ocean coupling mode based on the target coupler.
According to the invention, the atmospheric-wave-ocean three are completely synchronously coupled after the atmospheric component mode of the preset meteorological value, the ocean component mode of the preset area and the ocean component mode of the preset wave value are respectively coupled in pairs, so that the accuracy of data fusion is improved, and the simulation error of the offshore wind energy resource can be further reduced.
In an alternative embodiment, coupling the atmospheric resource data set, the ocean resource data set and the ocean wave resource data set by using a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set, including:
based on the offshore hydro-meteorological information data boundary condition set and the atmospheric resource data set, obtaining a first offshore wind energy resource simulation data set through the atmospheric component mode processing of the preset meteorological values; based on the marine hydrological information data boundary condition set and the marine resource data set, obtaining a second marine wind energy resource simulation data set through marine component mode processing of a preset area; based on the offshore hydro-meteorological information data boundary condition set and the sea wave resource data set, obtaining a third offshore wind energy resource simulation data set through processing of a preset sea wave numerical component mode; and obtaining a target offshore wind energy resource simulation data set through target offshore wind energy resource coupling mode processing based on the target coupler based on the first offshore wind energy resource simulation data set, the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set.
According to the invention, when the marine hydrological meteorological information data sets are coupled by utilizing the target marine wind energy resource coupling mode based on the target coupler, the atmospheric-wave-ocean three data are completely and synchronously fused after being respectively fused, the accuracy of data fusion is improved, and the simulation error of the marine wind energy resource can be further reduced.
In an alternative embodiment, the target offshore wind energy resource simulation data set is obtained based on the first offshore wind energy resource simulation data set, the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set through a target offshore wind energy resource coupling mode process based on the target coupler, and the method comprises the following steps:
determining a fourth offshore wind energy resource simulation data set based on the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set by a preset meteorological value atmospheric component mode; determining a fifth offshore wind energy resource simulation data set based on the first offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set by the marine component mode of the preset area; the method comprises the steps that a sixth offshore wind energy resource simulation data set is determined based on a first offshore wind energy resource simulation data set and a second offshore wind energy resource simulation data set in a preset sea wave numerical component mode; determining a target offshore wind energy resource simulation dataset based on the fourth offshore wind energy resource simulation dataset, the fifth offshore wind energy resource simulation dataset and the sixth offshore wind energy resource simulation dataset.
According to the coupling process of the marine hydrological meteorological information data set by using the target marine wind energy resource coupling mode based on the target coupler, the accuracy of data fusion is improved, and the simulation error of the marine wind energy resource can be further reduced.
In an alternative embodiment, the predetermined meteorological value atmosphere component pattern is based on a second offshore wind resource simulation dataset and a third offshore wind resource simulation dataset, determining a fourth offshore wind resource simulation dataset comprising:
determining a first offshore wind energy resource simulation data subset based on the second offshore wind energy resource simulation data set by a preset meteorological value atmospheric component mode; the atmospheric component mode of the preset meteorological value is based on the third offshore wind energy resource simulation data set, and a second offshore wind energy resource simulation data subset is determined; a fourth offshore wind resource simulation data set is determined based on the first offshore wind resource simulation data subset and the second offshore wind resource simulation data subset.
The invention completes the coupling of the atmospheric component mode of the preset meteorological value with the ocean component mode of the preset area and the ocean component mode of the preset ocean wave value respectively.
In an alternative embodiment, the predetermined regional ocean component pattern is based on the first and third offshore wind resource simulation data sets, determining a fifth offshore wind resource simulation data set comprising:
Determining a third offshore wind energy resource simulation data subset based on the first offshore wind energy resource simulation data set by the marine component mode in the preset area; determining a fourth offshore wind energy resource simulation data subset based on the third offshore wind energy resource simulation data set by the marine component mode in the preset area; the preset region ocean component pattern determines a fifth offshore wind resource simulation data set based on the third offshore wind resource simulation data subset and the fourth offshore wind resource simulation data subset.
The invention completes the coupling of the marine component mode of the preset area with the atmospheric component mode of the preset meteorological value and the marine component mode of the preset sea wave value respectively.
In an alternative embodiment, the predetermined sea wave numerical component pattern is based on the first and second offshore wind resource simulation data sets, determining a sixth offshore wind resource simulation data set comprising:
the method comprises the steps that a fifth marine wind energy resource simulation data subset is determined based on a first marine wind energy resource simulation data set in a preset sea wave numerical component mode; the preset sea wave numerical component mode is based on the second offshore wind energy resource simulation data set, and a sixth offshore wind energy resource simulation data subset is determined; the preset sea wave numerical component mode is used for determining a sixth offshore wind energy resource simulation data set based on the fifth offshore wind energy resource simulation data subset and the sixth offshore wind energy resource simulation data subset.
The invention completes the coupling of the preset sea wave numerical value component mode with the preset meteorological value atmosphere component mode and the preset area ocean component mode respectively.
In an alternative embodiment, based on the offshore wind energy resource simulation data, a second data processing method is preset to obtain an offshore wind energy resource simulation result, which includes:
obtaining target offshore wind energy resource simulation data through a preset second data processing method based on the offshore wind energy resource simulation data; and generating a simulation result of the offshore wind energy resource based on the target offshore wind energy resource simulation data.
According to the invention, the simulation result of the offshore wind energy resource can be obtained through the obtained simulation data of the target offshore wind energy resource, and the simulation error of the offshore wind energy resource is reduced.
In an alternative embodiment, the method further comprises:
acquiring an offshore wind energy resource observation data set; and verifying the simulation result of the offshore wind energy resource by using the offshore wind energy resource observation data set, and determining the accuracy of the simulation result of the offshore wind energy resource according to the verification result.
The invention can also check whether the simulation result of the offshore wind energy resource simulation obtained according to the offshore wind energy resource observation data set is accurate.
In an alternative embodiment, the method further comprises: and performing diagnostic analysis on the offshore wind energy resources to be evaluated based on the offshore wind energy resource simulation results to obtain diagnostic results of the offshore wind energy resources to be evaluated.
The invention can also carry out diagnosis and analysis on the offshore wind energy resources to be evaluated according to the simulation result of the offshore wind energy resources, and can improve the accuracy of the diagnosis and analysis.
In a second aspect, the present invention provides an offshore wind energy resource simulation device, comprising:
the acquisition module is used for acquiring an offshore hydro-meteorological information data set, wherein the offshore hydro-meteorological information data set comprises an atmospheric resource data set, a marine resource data set and a sea wave resource data set; the first processing module is used for processing the marine hydrological meteorological information data set by a preset first data processing method to generate a marine hydrological meteorological information data boundary condition set; the coupling module is used for coupling the atmospheric resource data set, the ocean resource data set and the sea wave resource data set by utilizing a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set; the second processing module is used for processing the offshore wind energy resource simulation data through a preset second data processing method to obtain an offshore wind energy resource simulation result.
In a third aspect, the present invention provides a computer device comprising: the device comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions so as to execute the offshore wind energy resource simulation method of the first aspect or any corresponding implementation mode.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon computer instructions for causing a computer to perform the offshore wind energy resource simulation method of the first aspect or any of its corresponding embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a method for simulating a wind energy resource at sea according to an embodiment of the invention;
FIG. 2 is a flow chart of another offshore wind energy resource simulation method in accordance with an embodiment of the invention;
FIG. 3 is a flow chart of yet another offshore wind energy resource simulation method in accordance with an embodiment of the invention;
FIG. 4 is a flow chart of yet another offshore wind energy resource simulation method in accordance with an embodiment of the invention;
FIG. 5 is a schematic coupling diagram of an atmospheric-ocean wave data coupling mode based on an MCT coupler according to an embodiment of the invention;
FIG. 6 is a block diagram of a marine wind energy resource simulation device according to an embodiment of the invention;
fig. 7 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides a simulation method for offshore wind energy resources, which achieves the effect of reducing the simulation error of the offshore wind energy resources by utilizing the resource data information of the atmosphere, the ocean and the sea waves, which are acquired by the timing exchange of a target offshore wind energy resource coupling mode based on a target coupler.
According to an embodiment of the present invention there is provided an embodiment of a method for simulating a wind energy resource at sea, it being noted that the steps shown in the flow chart of the drawings may be performed in a computer system such as a set of computer executable instructions and, although a logical sequence is shown in the flow chart, in some cases, the steps shown or described may be performed in a different order than here.
In this embodiment, a method for simulating an offshore wind energy resource is provided, and fig. 1 is a flowchart of a method for simulating an offshore wind energy resource according to an embodiment of the present invention, as shown in fig. 1, where the flowchart includes the following steps:
step S101, acquiring an offshore hydro-meteorological information dataset.
The marine hydro-meteorological information data sets may include, among other things, an atmospheric resource data set, a marine resource data set, and a sea wave resource data set.
Step S102, after the marine hydrological information data set is processed by a preset first data processing method, a marine hydrological information data boundary condition set is generated.
The set of marine hydro-meteorological information data boundary conditions may include, among other things, atmospheric resource data boundary conditions, marine resource data boundary conditions, and ocean wave resource data boundary conditions.
Specifically, the marine hydrological information data set is processed by using a preset first data processing method, such as format conversion, standardization, initialization and the like, so that a corresponding marine hydrological information data boundary condition set can be generated.
Step S103, coupling the atmosphere resource data set, the ocean resource data set and the sea wave resource data set by utilizing a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set.
The target coupler is a MCT (Model Coupling Tookkit) coupler, supports serial and parallel operation, and can be realized based on MPI (Message passing interface). MCTs support single or multiple variable delivery, with two types of variables that are allowed to be delivered: integer variable, real variable. MCTs assign a series of work processes to each model, providing a data exchange protocol for data between the coupled models.
The target offshore wind energy resource coupling mode is an atmosphere-ocean wave coupling mode.
Specifically, the three data of the atmosphere resource data set, the ocean resource data set and the ocean wave resource data set can be fused by utilizing the target offshore wind energy resource coupling mode based on the target coupler, so that the accuracy of the target offshore wind energy resource simulation data set is improved.
Step S104, processing the offshore wind energy resource simulation data by a preset second data processing method to obtain an offshore wind energy resource simulation result.
Specifically, the offshore wind energy resource simulation data is processed by a preset second data processing method, such as statistical inspection and the like.
And finally, performing simulation according to the obtained offshore wind energy resource simulation data to obtain a corresponding offshore wind energy resource simulation result.
According to the offshore wind energy resource simulation method provided by the invention, the resource data information of the atmosphere, the ocean and the sea wave is obtained simultaneously, the resource data information of the atmosphere, the ocean and the sea wave is exchanged at regular time by utilizing the target offshore wind energy resource coupling mode based on the target coupler, the fusion of three data is realized, and finally, the fused data is utilized for simulation, so that the error of the offshore wind energy resource simulation is reduced.
In this embodiment, a method for simulating offshore wind energy resources is provided, and fig. 2 is a flowchart of a method for simulating offshore wind energy resources according to an embodiment of the present invention, as shown in fig. 2, where the flowchart includes the following steps:
step S201, acquiring an offshore hydro-meteorological information dataset. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S202, after the marine hydrological information data set is processed by a preset first data processing method, a marine hydrological information data boundary condition set is generated.
Specifically, the step S202 includes:
in step S2021, the marine hydrological information data set is processed by a preset first data processing method, so as to obtain a target marine hydrological information data set.
Specifically, format conversion, standardization and other treatments are carried out on the data in the marine hydrological information data set, and a processed target marine hydrological information data set is obtained.
Step S2022, initializing a target marine hydro-meteorological information data set and generating a marine hydro-meteorological information data boundary condition set.
Specifically, data in a target marine hydro-meteorological information dataset is initialized and a set of marine hydro-meteorological information data boundary conditions for a target marine wind energy resource coupling mode based on a target coupler is generated.
Step S203, coupling the atmosphere resource data set, the ocean resource data set and the sea wave resource data set by utilizing a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set. Please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
And S204, processing the offshore wind energy resource simulation data by a preset second data processing method to obtain an offshore wind energy resource simulation result.
Specifically, the step S204 includes:
step S2041, obtaining target offshore wind energy resource simulation data through a preset second data processing method based on the offshore wind energy resource simulation data.
Specifically, processing operations including post-grid interpolation, forecast processing standardization and the like are performed on data in the offshore wind energy resource simulation data, and processed target offshore wind energy resource simulation data are obtained.
The accuracy of the target offshore wind energy resource simulation data can be improved through the processing operation.
Step S2042, obtaining target offshore wind energy resource simulation data through a preset second data processing method based on the offshore wind energy resource simulation data.
Specifically, the obtained target offshore wind energy resource simulation data is utilized to carry out simulation, and a corresponding offshore wind energy resource simulation result can be generated.
Step S205, acquiring an offshore wind energy resource observation data set.
The marine wind energy resource observation data set can comprise an atmospheric resource data set, a marine resource data set and a sea wave resource data set which are observed in real time.
And S206, checking the simulation result of the offshore wind energy resource by using the offshore wind energy resource observation data set, and determining the accuracy of the simulation result of the offshore wind energy resource according to the checking result.
Specifically, the offshore wind energy resource simulation result obtained by simulation can be verified by utilizing the offshore wind energy resource observation data set obtained by real-time observation, so that the accuracy of the offshore wind energy resource simulation result is further improved.
And S207, performing diagnostic analysis on the offshore wind energy resources to be evaluated based on the offshore wind energy resource simulation result to obtain a diagnostic result of the offshore wind energy resources to be evaluated.
Specifically, the simulation result of the offshore wind energy resource can be utilized to carry out diagnosis and analysis on the offshore wind energy resource to be evaluated.
According to the offshore wind energy resource simulation method provided by the invention, the resource data information of the atmosphere, the ocean and the sea wave is simultaneously acquired, the resource data information of the atmosphere, the ocean and the sea wave is exchanged at regular time by utilizing the target offshore wind energy resource coupling mode based on the target coupler, so that the fusion of three data is realized, and simultaneously, the offshore hydro-meteorological information data set is processed before the fusion, and the boundary constraint is provided for the fusion of the data in the offshore hydro-meteorological information data set by generating the sea hydro-meteorological information data boundary condition set meeting the conditions; and finally, the fused data is used for simulation, so that the error of the offshore wind energy resource simulation is reduced.
In this embodiment, a method for simulating offshore wind energy resources is provided, and fig. 3 is a flowchart of a method for simulating offshore wind energy resources according to an embodiment of the present invention, as shown in fig. 3, where the flowchart includes the following steps:
step S301, acquiring an offshore hydro-meteorological information dataset. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S302, after the marine hydrological information data set is processed by a preset first data processing method, a marine hydrological information data boundary condition set is generated. Please refer to step S202 in the embodiment shown in fig. 2, which is not described herein.
Step S303, acquiring a preset meteorological value atmosphere component mode, a preset regional ocean component mode and a preset ocean wave value component mode.
Wherein, the atmospheric component mode of the preset meteorological value adopts WRF (Weather Research and Forecast Model) mode; the marine component mode of the preset area adopts a ROMS (Regional Ocean Model System) mode; the preset sea wave numerical component mode adopts a WAVEWATCH III mode.
Specifically, WRF mode represents a fully compressible non-static mode; the ROMS mode represents a three-dimensional, free sea surface and a nonlinear oblique pressure mode based on terrain following coordinates; WAVEWATCH III mode is based on wave action quantity, comprehensively considers various factors such as topography, ocean current, sea-air temperature difference, wave shallow water deformation and the like, improves control equation, program structure, numerical value, physical method and the like, develops parallel computing technology, and improves performance and efficiency of the mode.
Step S304, processing the target coupler based on the preset meteorological value atmospheric component mode, the preset regional ocean component mode and the preset ocean wave value component mode to obtain a target offshore wind energy resource coupling mode based on the target coupler.
Specifically, the step S304 includes:
step S3041, based on the atmospheric component mode of the preset meteorological value and the ocean component mode of the preset area, establishing an atmospheric ocean coupling mode based on the target coupler through target coupler processing.
Specifically, by coupling the WRF mode with the romis mode, an atmospheric ocean coupling mode based on the target coupler can be established.
Step S3042, based on the preset meteorological value atmospheric component mode and the preset ocean wave value component mode, establishing an atmospheric ocean wave coupling mode based on the target coupler through target coupler processing.
Specifically, the WRF mode and the WAVEWATCH iii mode are coupled, and an atmospheric ocean wave coupling mode based on the target coupler can be established.
Step S3043, based on the preset area ocean component mode and the preset ocean wave numerical component mode, establishing an ocean wave coupling mode based on the target coupler through target coupler processing.
Specifically, coupling the romas mode with the WAVEWATCH iii mode can establish a target coupler-based ocean wave coupling mode.
Step S3044, determining a target offshore wind energy resource coupling mode based on the target coupler according to the atmospheric ocean coupling mode based on the target coupler, the atmospheric ocean wave coupling mode based on the target coupler and the ocean wave coupling mode based on the target coupler.
Specifically, according to the obtained atmospheric ocean coupling mode, the atmospheric ocean coupling mode and the ocean coupling mode based on the target coupler, the corresponding target offshore wind energy resource coupling mode based on the target coupler can be determined, namely the target offshore wind energy resource coupling mode based on the target coupler completes the complete synchronous coupling of the three modes of atmosphere, ocean and ocean.
Step S305, coupling the atmosphere resource data set, the ocean resource data set and the sea wave resource data set by utilizing a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set. Please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
And step S306, processing the offshore wind energy resource simulation data by a preset second data processing method to obtain an offshore wind energy resource simulation result. Please refer to step S204 in the embodiment shown in fig. 2 in detail, which is not described herein.
According to the offshore wind energy resource simulation method provided by the invention, the atmospheric-wave-ocean three are completely synchronously coupled after the preset meteorological value atmospheric component mode, the preset regional ocean component mode and the preset wave value component mode are respectively coupled in pairs, so that the accuracy of data fusion is improved; furthermore, the resource data information of the atmosphere, the ocean and the sea wave is exchanged at regular time by utilizing the target offshore wind energy resource coupling mode based on the target coupler, the fusion of the three data is realized, and finally, the fused data is utilized for simulation, so that the error of the offshore wind energy resource simulation is reduced.
In this embodiment, a method for simulating offshore wind energy resources is provided, and fig. 4 is a flowchart of a method for simulating offshore wind energy resources according to an embodiment of the present invention, as shown in fig. 4, where the flowchart includes the following steps:
step S401, acquiring an offshore hydro-meteorological information data set. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S402, after the marine hydrological information data set is processed by a preset first data processing method, a marine hydrological information data boundary condition set is generated. Please refer to step S202 in the embodiment shown in fig. 2, which is not described herein.
Step S403, coupling the atmosphere resource data set, the ocean resource data set and the sea wave resource data set by utilizing a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set.
Specifically, the step S403 includes:
step S4031, processing by a preset meteorological value atmospheric component mode based on the marine hydrological information data boundary condition set and the atmospheric resource data set to obtain a first marine wind energy resource simulation data set.
Specifically, the first offshore wind energy resource simulation data set represents simulation data after the atmospheric resource data set is processed by using a WRF mode, and may include surface wind stress, non-shortwave radiation, fresh water flux, an underlying wind farm, and the like.
The specific calculation of the surface wind stress is as follows: the modulus of wind stress is equal to the square of density times the similar theoretical wind speed; the weft wind stress is equal to the weft wind speed subtracted weft ocean current multiplied by the modulus of the wind stress, then the value of the low-mode layer wind speed is removed, the warp wind stress is the same, the warp wind speed subtracted warp ocean current is multiplied by the modulus of the wind stress, and then the value of the low-mode layer wind speed is removed, wherein specific calculation formulas are respectively shown in the following relational formulas (1) to (6):
（1）
（2）
（3）
（4）
（5）
（6）
Wherein:a die representing wind stress; />Representing density; />Representing a similar theoretical wind speed; />Representing the weft wind speed; />Representing weft current; />A value representing a low mode layer wind speed; />Represents the warp wind speed; />Represents warp ocean currents; />Representing weft wind stress; />Representing warp wind stress.
The non-short wave radiation is calculated by subtracting the product of the surface emissivity and the radiation energy emitted by the sea surface from the long wave radiation on the surface, and subtracting the sensible heat and the latent heat, wherein the specific calculation formula is shown in the following relational expression (7):
（7）
wherein:representing non-short wave radiation; />Representing the surface down long wave flux; />Representing the radiant energy emitted by the sea surface; />Represents the surface latent heat flux;indicating the upward heat flux from the surface.
The fresh water flux represents evaporation and precipitation, namely the sum of the cloud precipitation and non-convection precipitation is subtracted from the upward surface water flux, and a specific calculation formula is shown in the following relational expression (8):
（8）
wherein:indicating evaporation; />Representing precipitation; />Indicating surface upward moisture flux;representing cloud precipitation in time steps; />Indicating non-convection precipitation in the time step; />Representing a time step.
Further, the bottom wind field is usually a 10-meter wind field, and can be obtained through the following steps:
(1) And (3) obtaining the boundary layer output result of the atmospheric mode, namely the boundary condition of the marine hydrological meteorological information data, which is the boundary condition of the concentrated atmospheric resource data, through a logarithmic relation: the 100m wind speed is uniformly interpolated to 10m height using a logarithmic relationship as shown in the following relation (9):
（9）
wherein:representing height; />Representing wind speeds at respective heights; />Representing the wind shear index.
(2) The wind field of WRF is converted to earth coordinates.
In all projections, the wind field output by the WRF is relative to the pattern grid based on the WRF projection, rather than the earth coordinates (i.e., longitude and latitude coordinates). In longitude and latitude coordinates, U is east-west wind (east is positive) and V is north-south wind. In the embodiment, the longitude and latitude coordinates of the earth are calculated、/>Is shown in the following relations (10) and (11), respectively:
（10）
（11）
wherein:representing latitudinal wind under longitude and latitude coordinates of the earth; />Representing the warp direction wind under the longitude and latitude coordinates of the earth; />、/>Two components representing WRF local coordinates; />And the included angle of the WRF local projection coordinate relative to the longitude and latitude coordinate of the earth is represented.
And step S4032, processing by a marine component mode in a preset area based on the marine hydrological information data boundary condition set and the marine resource data set to obtain a second marine wind energy resource simulation data set.
Specifically, the second offshore wind energy resource simulation data set represents simulation data obtained by processing the marine resource data set by using the romas mode, and may include a sea surface temperature, a sea surface flow rate, a weft flow rate Us of the ocean, a warp flow rate Vs of the ocean, a sea level height SSH, a submarine topography, and the like.
And step S4033, processing by a preset wave numerical component mode based on the marine hydrological meteorological information data boundary condition set and the wave resource data set to obtain a third marine wind energy resource simulation data set.
Specifically, the third offshore wind energy resource simulation data set represents simulation data after the sea wave resource data set is processed by using WAVEWATCH III mode, and the simulation data can include effective wave height Hwave, average wavelength Lmwave, wavelength Lpwave corresponding to maximum wave height, wave direction Dwave, period Tpsurf of surface wave, bottom wave period Tmbott, wave breaking fraction Qb, wave energy dissipation DISScan, bottom rail speed Ubot and the like.
Wherein, the effective wave height Hwave represents the average wave height of 1/3 wave with the highest wave height in all waves output by WAVEWATCH III mode.
Step S4034, processing the target offshore wind energy resource coupling mode based on the target coupler based on the first offshore wind energy resource simulation data set, the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set to obtain a target offshore wind energy resource simulation data set.
Specifically, the three data sets of the first offshore wind energy resource simulation data set, the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set can be fused through the target offshore wind energy resource coupling mode based on the target coupler, and the fused target offshore wind energy resource simulation data set is obtained.
In some alternative embodiments, step S4034 includes:
step a1, determining a fourth offshore wind energy resource simulation data set based on the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set by presetting a meteorological value atmosphere component mode.
Step a2, determining a fifth offshore wind energy resource simulation data set based on the first offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set by the preset area ocean component mode.
Step a3, presetting a sea wave numerical component mode, and determining a sixth offshore wind energy resource simulation data set based on the first offshore wind energy resource simulation data set and the second offshore wind energy resource simulation data set.
Step a4, determining a target offshore wind energy resource simulation data set based on the fourth offshore wind energy resource simulation data set, the fifth offshore wind energy resource simulation data set and the sixth offshore wind energy resource simulation data set.
Specifically, when three data sets of the first offshore wind energy resource simulation data set, the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set are fused, the two-by-two fusion is performed according to a mode coupling method based on a target offshore wind energy resource coupling mode of a target coupler.
Firstly, the WRF mode receives a second offshore wind energy resource simulation data set transmitted by the ROMS mode and a third offshore wind energy resource simulation data set transmitted by the WAVEWATCH III mode, and a corresponding fourth offshore wind energy resource simulation data set is calculated according to the received second offshore wind energy resource simulation data set and third offshore wind energy resource simulation data set.
For example, if the WRF mode receives the sea surface temperature and the sea surface flow rate transmitted by the romas mode and receives the effective wave height Hwave and the average wavelength Lmwave transmitted by the WAVEWATCH iii mode, the corresponding turbulent heat flux can be calculated according to the sea surface temperature, the sea surface flow, the effective wave height Hwave and the average wavelength Lmwave.
Secondly, the romas mode receives a first offshore wind energy resource simulation dataset transmitted by the WRF mode, such as surface wind stress, non-shortwave radiation, fresh water flux and the like, and receives a third offshore wind energy resource simulation dataset transmitted by the WAVEWATCH iii mode, such as effective wave height Hwave, average wavelength Lmwave, wavelength Lpwave corresponding to maximum wave height, wave direction Dwave, period Tpsurf of surface wave, period Tmbott of bottom wave, wave breaking fraction Qb, wave energy dissipation DISSwcap, bottom rail speed Ubot and the like, and by fusing the two datasets, a fifth offshore wind energy resource simulation dataset after fusion can be obtained.
Then, WAVEWATCH III mode receives the first offshore wind energy resource simulation dataset transmitted in WRF mode, such as the bottom wind farm, etc., and receives the second offshore wind energy resource simulation dataset transmitted in ROMS mode, such as the latitudinal flow rate Us of the ocean, the longitudinal flow rate Vs of the ocean, the sea level height SSH, the submarine topography, etc., and by fusing the two datasets, a fused sixth offshore wind energy resource simulation dataset can be obtained.
And finally, fusing the three fused data, so that the complete synchronous fusion of the three data of the atmosphere, the sea wave and the ocean can be realized, and a corresponding fused target offshore wind energy resource simulation data set is obtained.
In some alternative embodiments, step a1 includes:
step a11, determining a first offshore wind energy resource simulation data subset based on the second offshore wind energy resource simulation data set by the preset meteorological value atmosphere component mode.
Step a12, determining a second offshore wind energy resource simulation data subset based on the third offshore wind energy resource simulation data set by the preset meteorological value atmosphere component mode.
Step a13, determining a fourth offshore wind resource simulation data set based on the first offshore wind resource simulation data subset and the second offshore wind resource simulation data subset.
First, in the WRF mode, a first offshore wind energy resource simulation data set stored in the WRF mode is fused with a second offshore wind energy resource simulation data set transmitted in the received ROMS mode, so that a fused first offshore wind energy resource simulation data subset can be obtained, and the fusion of 'atmosphere-ocean' data is realized.
Secondly, in the WRF mode, the first offshore wind energy resource simulation data set stored in the WRF mode is fused with the third offshore wind energy resource simulation data set transmitted in the WAVEWATCH III mode, so that a fused second offshore wind energy resource simulation data subset can be obtained, and the fusion of 'atmosphere-sea wave' data is realized.
Finally, in the WRF mode, a fourth fused offshore wind resource simulation data set in the WRF mode may be obtained according to the fused first and second offshore wind resource simulation data subsets, i.e. the fourth offshore wind resource simulation data set may include the first and second offshore wind resource simulation data subsets.
Through the fusion process, the fusion of the 'atmosphere-ocean' data and the 'atmosphere-ocean wave' data is realized in the WRF mode.
In some alternative embodiments, step a2 includes:
step a21, determining a third marine wind energy resource simulation data subset based on the first marine wind energy resource simulation data set by the marine component pattern in the preset area.
Step a22, determining a fourth offshore wind energy resource simulation data subset based on the third offshore wind energy resource simulation data set by the predetermined regional ocean component pattern.
Step a23, determining a fifth offshore wind energy resource simulation data set based on the third offshore wind energy resource simulation data subset and the fourth offshore wind energy resource simulation data subset by the preset regional ocean component pattern.
Firstly, in a ROMS mode, a second offshore wind energy resource simulation data set stored in the ROMS mode is fused with a first offshore wind energy resource simulation data set transmitted in a received WRF mode, a fused third offshore wind energy resource simulation data subset can be obtained, and fusion of ocean-atmosphere data is realized.
Secondly, in the ROMS mode, the second offshore wind energy resource simulation data set stored in the ROMS mode is fused with the third offshore wind energy resource simulation data set transmitted in the WAVEWATCH III mode, so that a fourth fused offshore wind energy resource simulation data subset can be obtained, and the fusion of ocean-wave data is realized.
Finally, in the romas mode, a fifth fused offshore wind resource simulation data set in the romas mode may be obtained according to the fused third and fourth offshore wind resource simulation data subsets, i.e. the fifth offshore wind resource simulation data set may include the third and fourth offshore wind resource simulation data subsets.
Through the fusion process, the fusion of the ocean-atmosphere data and the ocean-sea wave data is realized in the ROMS mode.
In some alternative embodiments, step a3 includes:
step a31, determining a fifth offshore wind energy resource simulation data subset based on the first offshore wind energy resource simulation data set by presetting the sea wave numerical component mode.
Step a32, determining a sixth offshore wind energy resource simulation data subset based on the second offshore wind energy resource simulation data set by presetting the sea wave numerical component mode.
Step a33, determining a sixth offshore wind energy resource simulation data set based on the fifth offshore wind energy resource simulation data subset and the sixth offshore wind energy resource simulation data subset by presetting the sea wave numerical component pattern.
First, in WAVEWATCH III mode, the third offshore wind energy resource simulation data set stored in WAVEWATCH III mode is fused with the received first offshore wind energy resource simulation data set transmitted in WRF mode, so as to obtain a fifth fused offshore wind energy resource simulation data subset, and fusion of sea wave-atmosphere data is realized.
Secondly, in WAVEWATCH III mode, the third offshore wind energy resource simulation data set stored in WAVEWATCH III mode is fused with the second offshore wind energy resource simulation data set transmitted in received ROMS mode, so that a fused sixth offshore wind energy resource simulation data subset can be obtained, and the fusion of sea wave-ocean data is realized.
Finally, in WAVEWATCH III mode, according to the above-mentioned fused fifth and sixth offshore wind resource simulation data subsets, it may be determined that the sixth offshore wind resource simulation data set fused in WAVEWATCH III mode, i.e. the sixth offshore wind resource simulation data set may include the fifth and sixth offshore wind resource simulation data subsets.
Through the fusion process, the fusion of the sea wave-atmosphere data and the fusion of the sea wave-ocean data are realized in a WAVEWATCH III mode.
And step S404, processing the offshore wind energy resource simulation data by a preset second data processing method to obtain an offshore wind energy resource simulation result. Please refer to step S204 in the embodiment shown in fig. 2 in detail, which is not described herein.
According to the offshore wind energy resource simulation method provided by the invention, when the offshore hydro-meteorological information data sets are coupled by utilizing the target offshore wind energy resource coupling mode based on the target coupler, the data of the atmosphere, the sea wave and the sea are completely and synchronously fused after being respectively fused, the accuracy of data fusion is improved, and the error of offshore wind energy resource simulation can be further reduced.
In one example, an atmospheric-ocean wave data coupling mode based on an MCT coupler is provided, as shown in fig. 5. Firstly, the coupling of an atmospheric component mode (WRF mode) and an ocean circulating current component mode, the coupling of the atmospheric component mode and an ocean circulating current component mode and the coupling of the ocean circulating current component mode and the ocean circulating current component mode are respectively completed, and then, the complete synchronous coupling of the atmosphere, the ocean and the ocean is realized.
In one example, to compare the differences between the target offshore wind energy resource coupling mode and the uncoupled mode based on the target coupler, three sets of experiments were performed:
1) Atmospheric-ocean-sea wave coupling test (noted WRF-romis-WW 3): performing a test by adopting a regional atmosphere-ocean wave full coupling mode;
2) The atmospheric-marine coupling test (noted: WRF-romis): performing a test by adopting a regional atmosphere-ocean coupling mode;
3) The atmospheric component alone mode test (noted: WRF): the test was performed using the single zone atmosphere mode.
By experiments, it can be known that:
1) The spatial correlation coefficient of the 10m latitudinal wind field and ERA5 of the WRF-ROMS-WW3 test is superior to that of the WRF-ROMS test and the WRF test at most moments, which shows that the addition of the ocean component mode and the ocean wave component mode has positive influence on the simulation of the 10m latitudinal wind. From 24 hours to 48 hours, the spatial correlation coefficient of the WRF-romas test 10m latitudes with ERA5 data was less than that of the WRF alone, indicating that adding the ocean component mode had a negative effect during this period, probably due to errors in the test caused by the use of CFS global ocean forecast fields as boundary sites.
2) The WRF-ROMS-WW3 test has less deviation on the sea surface wind field than other two groups of tests, and the result also shows that the target offshore wind energy resource coupling mode based on the target coupler has great influence on sea surface element field simulation, and especially after the sea wave component mode is added, the WRF-ROMS-WW3 test has very positive significance on the reduction of sea surface wind field simulation errors due to the improvement of sea surface roughness.
In this embodiment, an offshore wind energy resource simulation device is further provided, and the device is used for implementing the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment provides a marine wind energy resource simulation device, as shown in fig. 6, including:
the acquiring module 601 is configured to acquire an offshore hydro-meteorological information data set, where the offshore hydro-meteorological information data set includes an atmospheric resource data set, a marine resource data set, and a sea wave resource data set.
The first processing module 602 is configured to process the marine hydro-meteorological information data set by a preset first data processing method to generate a marine hydro-meteorological information data boundary condition set.
The coupling module 603 is configured to couple the atmospheric resource data set, the ocean resource data set and the ocean wave resource data set by using a target offshore wind energy resource coupling mode based on the target coupler based on the offshore hydro-meteorological information data boundary condition set, so as to obtain a target offshore wind energy resource simulation data set.
The second processing module 604 is configured to process the offshore wind energy resource simulation data by using a preset second data processing method, so as to obtain an offshore wind energy resource simulation result.
In some alternative embodiments, the first processing module 602 includes:
the first processing sub-module is used for processing the marine hydrological information data set by a preset first data processing method to obtain a target marine hydrological information data set;
and the initialization sub-module is used for initializing the target marine hydro-meteorological information data set and generating a marine hydro-meteorological information data boundary condition set.
In some alternative embodiments, the offshore wind energy resource simulation device further comprises:
the first acquisition module is used for acquiring a preset meteorological value atmospheric component mode, a preset regional ocean component mode and a preset sea wave value component mode.
The third processing module is used for processing the target coupler based on the preset meteorological value atmospheric component mode, the preset regional ocean component mode and the preset ocean wave value component mode to obtain a target offshore wind energy resource coupling mode based on the target coupler.
In some alternative embodiments, the third processing module includes:
The second processing submodule is used for establishing an atmospheric ocean coupling mode based on the target coupler through target coupler processing based on the preset meteorological value atmospheric component mode and the preset regional ocean component mode.
And the third processing submodule is used for establishing an atmospheric wave coupling mode based on the target coupler through processing of the target coupler based on the preset meteorological value atmospheric component mode and the preset wave value component mode.
And the fourth processing submodule is used for establishing a ocean wave coupling mode based on the target coupler through processing of the target coupler based on the ocean component mode of the preset area and the ocean wave numerical component mode of the preset area.
The determining submodule is used for determining a target offshore wind energy resource coupling mode based on the target coupler according to the atmospheric ocean coupling mode based on the target coupler, the atmospheric ocean wave coupling mode based on the target coupler and the ocean wave coupling mode based on the target coupler.
In some alternative embodiments, the coupling module 603 includes:
and the fifth processing sub-module is used for obtaining a first offshore wind energy resource simulation data set through the atmospheric component mode processing of the preset meteorological values based on the offshore hydro-meteorological information data boundary condition set and the atmospheric resource data set.
And the sixth processing sub-module is used for obtaining a second offshore wind energy resource simulation data set through marine component mode processing of a preset area based on the offshore hydro-meteorological information data boundary condition set and the marine resource data set.
And the seventh processing sub-module is used for processing the sea wave numerical value component mode based on the sea hydrological meteorological information data boundary condition set and the sea wave resource data set to obtain a third sea wind energy resource simulation data set.
The eighth processing submodule is used for obtaining a target offshore wind energy resource simulation data set through target offshore wind energy resource coupling mode processing based on the first offshore wind energy resource simulation data set, the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set.
In some alternative embodiments, the eighth processing sub-module comprises:
the first determining unit is used for determining a fourth offshore wind energy resource simulation data set based on the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set according to the preset meteorological value atmosphere component mode.
The second determining unit is used for determining a fifth offshore wind energy resource simulation data set based on the first offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set according to the marine component mode of the preset area.
The third determining unit is used for determining a sixth offshore wind energy resource simulation data set based on the first offshore wind energy resource simulation data set and the second offshore wind energy resource simulation data set in a preset sea wave numerical component mode.
And a fourth determining unit for determining a target offshore wind energy resource simulation data set based on the fourth offshore wind energy resource simulation data set, the fifth offshore wind energy resource simulation data set and the sixth offshore wind energy resource simulation data set.
In some alternative embodiments, the first determining unit includes:
the first determining subunit is configured to determine a first subset of offshore wind resource simulation data based on the second set of offshore wind resource simulation data for a preset meteorological value atmospheric component pattern.
And the second determining subunit is used for determining a second offshore wind energy resource simulation data subset based on the third offshore wind energy resource simulation data set by the preset meteorological value atmosphere component mode.
A third determination subunit for determining a fourth offshore wind resource simulation data set based on the first subset of offshore wind resource simulation data and the second subset of offshore wind resource simulation data.
In some alternative embodiments, the second determining unit comprises:
And a fourth determining subunit, configured to determine a third subset of offshore wind resource simulation data based on the first offshore wind resource simulation data set in the marine component pattern.
And a fifth determining subunit, configured to determine a fourth subset of offshore wind resource simulation data based on the third offshore wind resource simulation data set in the marine component pattern.
A sixth determining subunit, configured to determine a fifth offshore wind resource simulation data set based on the third offshore wind resource simulation data subset and the fourth offshore wind resource simulation data subset in the predetermined regional ocean component pattern.
In some alternative embodiments, the third determining unit includes:
a seventh determining subunit, configured to determine a fifth subset of offshore wind energy resource simulation data based on the first offshore wind energy resource simulation data set in a preset sea wave numerical component mode.
And an eighth determination subunit, configured to determine a sixth offshore wind energy resource simulation data subset based on the second offshore wind energy resource simulation data set in a preset sea wave numerical component mode.
And a ninth determining subunit, configured to determine a sixth offshore wind energy resource simulation data set based on the fifth offshore wind energy resource simulation data subset and the sixth offshore wind energy resource simulation data subset by presetting the wave numerical component pattern.
In some alternative embodiments, the second processing module 604 includes:
and the ninth processing sub-module is used for obtaining target offshore wind energy resource simulation data through a preset second data processing method based on the offshore wind energy resource simulation data.
The generation sub-module is used for generating a simulation result of the offshore wind energy resource based on the simulation data of the target offshore wind energy resource.
In some alternative embodiments, the offshore wind energy resource simulation device further comprises:
and the second acquisition module is used for acquiring the offshore wind energy resource observation data set.
And the verification and determination module is used for verifying the simulation result of the offshore wind energy resource by utilizing the offshore wind energy resource observation data set and determining the accuracy of the simulation result of the offshore wind energy resource according to the verification result.
In some alternative embodiments, the offshore wind energy resource simulation device further comprises:
the diagnosis analysis module is used for carrying out diagnosis analysis on the offshore wind energy resources to be evaluated based on the simulation result of the offshore wind energy resources to obtain the diagnosis result of the offshore wind energy resources to be evaluated.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
The offshore wind energy resource simulation device in this embodiment is presented in the form of functional units, where the units are ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the above described functionality.
The embodiment of the invention also provides computer equipment, which is provided with the offshore wind energy resource simulation device shown in the figure 6.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 7, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 7.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform a method for implementing the embodiments described above.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (15)
1. An offshore wind energy resource simulation method, which is characterized by comprising the following steps:
acquiring an offshore hydro-meteorological information data set, wherein the offshore hydro-meteorological information data set comprises an atmosphere resource data set, a marine resource data set and a sea wave resource data set;
processing the marine hydrological information data set by a preset first data processing method to generate a marine hydrological information data boundary condition set;
coupling the atmosphere resource data set, the ocean resource data set and the ocean wave resource data set by utilizing a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set;
and processing the offshore wind energy resource simulation data by a preset second data processing method to obtain an offshore wind energy resource simulation result.
2. The method of claim 1, wherein generating the set of marine hydro-meteorological information data boundary conditions after processing the set of marine hydro-meteorological information data by a preset first data processing method comprises:
processing the marine hydrological information data set by the preset first data processing method to obtain a target marine hydrological information data set;
initializing the target marine hydro-meteorological information data set and generating the marine hydro-meteorological information data boundary condition set.
3. The method according to claim 1, wherein the method further comprises:
acquiring a preset meteorological value atmospheric component mode, a preset regional ocean component mode and a preset ocean wave value component mode;
and processing the target coupler based on the preset meteorological value atmospheric component mode, the preset regional ocean component mode and the preset ocean wave value component mode to obtain the target offshore wind energy resource coupling mode based on the target coupler.
4. A method according to claim 3, wherein the target coupler-based target offshore wind energy resource coupling pattern is obtained based on the preset meteorological value atmospheric component pattern, the preset regional ocean component pattern and the preset ocean wave value component pattern by processing the target coupler, comprising:
Based on the atmospheric component mode of the preset meteorological values and the ocean component mode of the preset area, the atmospheric ocean coupling mode based on a target coupler is established through the target coupler;
based on the preset meteorological value atmospheric component mode and the preset ocean wave value component mode, the atmospheric ocean wave coupling mode based on a target coupler is established through the target coupler;
based on the preset region ocean component mode and the preset ocean wave numerical component mode, processing by the target coupler, and establishing an ocean wave coupling mode based on the target coupler;
and determining the target offshore wind energy resource coupling mode based on the target coupler according to the atmospheric ocean coupling mode based on the target coupler, the atmospheric ocean wave coupling mode based on the target coupler and the ocean wave coupling mode based on the target coupler.
5. A method according to claim 3, wherein coupling the atmospheric resource dataset, the marine resource dataset and the sea wave resource dataset with a target marine wind energy resource coupling pattern based on a target coupler based on the marine hydro-meteorological information data boundary condition set, results in a target marine wind energy resource simulation dataset, comprising:
Based on the marine hydrological meteorological information data boundary condition set and the atmospheric resource data set, a first marine wind energy resource simulation data set is obtained through the atmospheric component mode processing of the preset meteorological values;
based on the marine hydrological information data boundary condition set and the marine resource data set, obtaining a second marine wind energy resource simulation data set through marine component mode processing of the preset area;
based on the marine hydrological information data boundary condition set and the sea wave resource data set, obtaining a third marine wind energy resource simulation data set through the processing of the preset sea wave numerical component mode;
and obtaining the target offshore wind energy resource simulation data set through the target offshore wind energy resource coupling mode processing based on the target coupler based on the first offshore wind energy resource simulation data set, the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set.
6. The method of claim 5, wherein obtaining the target offshore wind resource simulation dataset via the target coupler-based target offshore wind resource coupling pattern processing based on the first offshore wind resource simulation dataset, the second offshore wind resource simulation dataset, and the third offshore wind resource simulation dataset comprises:
The preset meteorological value atmosphere component mode is used for determining a fourth offshore wind energy resource simulation data set based on the second offshore wind energy resource simulation data set and the third offshore wind energy resource simulation data set;
the preset area ocean component pattern determines a fifth offshore wind resource simulation dataset based on the first offshore wind resource simulation dataset and the third offshore wind resource simulation dataset;
the preset sea wave numerical component mode is used for determining a sixth offshore wind energy resource simulation data set based on the first offshore wind energy resource simulation data set and the second offshore wind energy resource simulation data set;
determining the target offshore wind resource simulation dataset based on the fourth offshore wind resource simulation dataset, the fifth offshore wind resource simulation dataset and the sixth offshore wind resource simulation dataset.
7. The method of claim 6, wherein the predetermined meteorological value atmosphere component pattern is based on the second and third offshore wind resource simulation data sets, comprising:
The preset meteorological value atmosphere component mode is used for determining a first offshore wind energy resource simulation data subset based on the second offshore wind energy resource simulation data set;
the preset meteorological value atmosphere component mode is used for determining a second offshore wind energy resource simulation data subset based on the third offshore wind energy resource simulation data set;
determining the fourth offshore wind resource simulation data set based on the first subset of offshore wind resource simulation data and the second subset of offshore wind resource simulation data.
8. The method of claim 6, wherein the predetermined regional ocean component pattern is based on the first offshore wind resource simulation dataset and the third offshore wind resource simulation dataset, comprising:
the preset area ocean component mode is used for determining a third offshore wind energy resource simulation data subset based on the first offshore wind energy resource simulation data set;
the preset area ocean component mode is used for determining a fourth offshore wind energy resource simulation data subset based on the third offshore wind energy resource simulation data set;
the predetermined regional ocean component pattern determines the fifth offshore wind resource simulation dataset based on the third offshore wind resource simulation dataset and the fourth offshore wind resource simulation dataset.
9. The method of claim 6, wherein the predetermined pattern of sea wave numerical components is based on the first offshore wind resource simulation dataset and the second offshore wind resource simulation dataset, determining a sixth offshore wind resource simulation dataset, comprising:
the preset sea wave numerical component mode is used for determining a fifth offshore wind energy resource simulation data subset based on the first offshore wind energy resource simulation data set;
the preset sea wave numerical component mode is used for determining a sixth offshore wind energy resource simulation data subset based on the second offshore wind energy resource simulation data set;
the preset sea wave numerical component pattern determines the sixth offshore wind energy resource simulation data set based on the fifth offshore wind energy resource simulation data subset and the sixth offshore wind energy resource simulation data subset.
10. The method according to claim 1, wherein obtaining the simulation result of the offshore wind energy resource simulation based on the offshore wind energy resource simulation data through a preset second data processing method comprises:
obtaining target offshore wind energy resource simulation data through the preset second data processing method based on the offshore wind energy resource simulation data;
And generating the offshore wind energy resource simulation result based on the target offshore wind energy resource simulation data.
11. The method according to claim 1, wherein the method further comprises:
acquiring an offshore wind energy resource observation data set;
and verifying the offshore wind energy resource simulation result by using the offshore wind energy resource observation data set, and determining the accuracy of the offshore wind energy resource simulation result according to the verification result.
12. The method of claim 11, wherein the method further comprises:
and performing diagnostic analysis on the offshore wind energy resources to be evaluated based on the offshore wind energy resource simulation result to obtain a diagnostic result of the offshore wind energy resources to be evaluated.
13. An offshore wind energy resource simulation device, the device comprising:
the acquisition module is used for acquiring an offshore hydro-meteorological information data set, wherein the offshore hydro-meteorological information data set comprises an atmospheric resource data set, a marine resource data set and a sea wave resource data set;
the first processing module is used for processing the marine hydrological meteorological information data set by a preset first data processing method to generate a marine hydrological meteorological information data boundary condition set;
The coupling module is used for coupling the atmosphere resource data set, the ocean resource data set and the ocean wave resource data set by utilizing a target offshore wind energy resource coupling mode based on a target coupler based on the offshore hydro-meteorological information data boundary condition set to obtain a target offshore wind energy resource simulation data set;
and the second processing module is used for processing the offshore wind energy resource simulation data by a preset second data processing method to obtain an offshore wind energy resource simulation result.
14. A computer device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the offshore wind energy resource simulation method of any one of claims 1 to 12.
15. A computer readable storage medium having stored thereon computer instructions for causing a computer to perform the offshore wind energy resource simulation method of any of claims 1 to 12.
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