Scalar field determination method for wind farm, electronic device, and storage medium

Abstract

The application relates to the technical field of wind farms, and particularly provides a wind farm scalar field determination method, an electronic device and a storage medium, and aims to solve the technical problem that the calculation accuracy of a downstream scalar field is low due to the fact that an existing method only focuses on the wake loss of a wind farm. To this end, the wind farm scalar field determination method comprises the following steps: acquiring the momentum roughness of the wind farm; determining the scalar roughness of the wind farm based on the momentum roughness; acquiring the wall roughness of the wind farm based on the momentum roughness and the scalar roughness; and determining the scalar field data of the downstream area of the wind farm based on the wall roughness. In this way, the calculation of the scalar field of the downstream area of the wind farm is realized, and the calculation accuracy of the scalar field of the downstream area of the wind farm is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind farms, and particularly provides a method for determining a scalar field of a wind farm, an electronic device and a storage medium. BACKGROUND

[0002] In the actual operation environment of a wind farm, the incoming flow is often affected by factors such as atmospheric stability and the underlying surface, which will affect the evolution process of the downstream velocity field and the scalar field of the wind farm, thereby affecting the overall power generation of the wind farm and the efficiency of heat exchange between the wind farm and the atmospheric boundary layer. Due to the high calculation accuracy of large eddy simulation, it is widely used in numerical simulation of wind farms. However, the high-resolution calculation of large eddy simulation requires a large amount of computing resources, which cannot be ignored. In contrast, the equivalent roughness model is simple in structure and low in calculation cost, and is widely used in the research of wind farm layout optimization and inter-field wake loss.

[0003] At present, the existing method combines the equivalent roughness model of the wind farm with the numerical simulation method, and proposes a wind farm downstream wake numerical calculation method that takes into account the calculation accuracy and the calculation cost. However, this method only focuses on the downstream wake loss of the wind farm, and does not analyze the evolution of the downstream scalar field, resulting in the technical problem of low calculation accuracy of the downstream scalar field. SUMMARY

[0004] In order to overcome the above-mentioned defects, the present application is proposed to solve or at least partially solve the technical problem that the existing method only focuses on the downstream wake loss of the wind farm, resulting in low calculation accuracy of the downstream scalar field. The present application provides a method for determining a scalar field of a wind farm, an electronic device and a storage medium.

[0005] In a first aspect, the present application provides a method for determining a scalar field of a wind farm, the method comprising:

[0006] obtaining a momentum roughness of the wind farm;

[0007] determining a scalar roughness of the wind farm based on the momentum roughness;

[0008] obtaining a wall roughness of the wind farm based on the momentum roughness and the scalar roughness;

[0009] determining scalar field data of a downstream region of the wind farm based on the wall roughness.

[0010] In one embodiment of the method for determining a scalar field of a wind farm of the present application, the determining a scalar roughness of the wind farm based on the momentum roughness comprises:

[0011] obtaining a functional relationship of the scalar roughness with respect to the momentum roughness, the Sherwood number and the volume resistance transfer coefficient.

[0012] The ratio of the momentum roughness and the scalar roughness is subject to a power law relationship of roughness Reynolds number;

[0013] The scalar roughness of the wind farm is determined based on the functional relationship and the power law relationship.

[0014] In an embodiment of the method for determining the scalar field of the wind farm, the determination of the scalar roughness of the wind farm based on the functional relationship and the power law relationship comprises:

[0015] The momentum roughness is excluded from the volume resistance transfer coefficient;

[0016] The scalar roughness of the wind farm is obtained by fitting the Sherwood number based on the functional relationship and the power law relationship.

[0017] In an embodiment of the method for determining the scalar field of the wind farm, the method further comprises:

[0018] When the momentum roughness is greater than a preset threshold, a first scalar eigenvalue corresponding to the momentum roughness is obtained by a large eddy simulation method based on the functional relationship and the power law relationship;

[0019] When the momentum roughness is less than or equal to a preset threshold, a second scalar eigenvalue corresponding to the momentum roughness is obtained by a large eddy simulation method based on the functional relationship and the power law relationship;

[0020] The first scalar eigenvalue or the second scalar eigenvalue is fitted;

[0021] The scalar roughness of the wind farm is evaluated based on the fitting result.

[0022] In an embodiment of the method for determining the scalar field of the wind farm, the expression of the wall roughness is:

[0023]

[0024]

[0025] wherein, is the wall momentum roughness; is the wall scalar roughness; is the momentum roughness of a non-wind farm area; is the momentum roughness of a wind farm area; is the scalar roughness of a non-wind farm area; is the scalar roughness of the wind farm; denotes the spatial range of the non-wind farm area; a spatial range representing a wind farm region.

[0026] In the wind farm scalar field determination method of the present application, the calculation of the scalar field data of the downstream region of the wind farm based on the wall roughness comprises:

[0027] The open source program in the physical field simulation auxiliary tool is modified according to the wall roughness.

[0028] The scalar field data of the downstream region of the wind farm is calculated based on the modified physical field simulation auxiliary tool.

[0029] In the wind farm scalar field determination method of the present application, the expression of the momentum roughness of the wind farm is:

[0030]

[0031] wherein, is the momentum roughness of the wind farm; is the hub height; is the rotor diameter; is the additional eddy viscosity coefficient percentage of the wake; is the Karman constant; is the deviation factor; is the flow unevenness factor; is the surface roughness length; is the equivalent drag coefficient.

[0032] In one embodiment of the wind farm scalar field determination method of the present application, the method further comprises: performing scalar flux evaluation based on the scalar field data of the downstream region of the wind farm.

[0033] In a second aspect, an electronic device is provided, comprising:

[0034] at least one processor;

[0035] and a memory in communication connection with the at least one processor;

[0036] wherein the memory stores a computer program, and the computer program is executed by the at least one processor to implement the aforementioned wind farm scalar field determination method.

[0037] In a third aspect, a computer readable storage medium is provided, which stores a plurality of program codes, and the program codes are adapted to be loaded and run by a processor to implement the wind farm scalar field determination method of any one of the aforementioned aspects.

[0038] The one or more technical solutions of the present application have at least one or more of the following beneficial effects:

[0039] The method for determining the scalar field of the wind farm in the present application comprises: acquiring the momentum roughness of the wind farm; determining the scalar roughness of the wind farm based on the momentum roughness; acquiring the wall roughness of the wind farm based on the momentum roughness and the scalar roughness; and determining the scalar field data of the downstream area of the wind farm based on the wall roughness, thereby realizing the fast calculation of the scalar field of the downstream area of the wind farm and improving the calculation accuracy of the scalar field of the downstream area of the wind farm. BRIEF DESCRIPTION OF DRAWINGS

[0040] The disclosure of the present application will become more apparent with reference to the drawings. It should be understood by those skilled in the art that the drawings are only for the purpose of illustration, and are not intended to limit the scope of protection of the present application. In addition, similar numbers in the figures are used to represent similar components, wherein:

[0041] Figure 1 is the main flowchart of the method for determining the scalar field of the wind farm in one embodiment of the present application;

[0042] Figures 2(a) and 2(b) are fitting result schematic diagrams of the present application in one embodiment of the present application;

[0043] Figure 3 is a comparison diagram of the scalar roughness model and LES results in one embodiment of the present application;

[0044] Figures 4(a) and 4(b) are wind farm nesting schematic diagrams in one embodiment of the present application;

[0045] Figures 5(a)-5(d) are normalized scalar difference vertical distribution curves at different downstream positions of the wind farm in one embodiment of the present application;

[0046] Figure 6 is a normalized scalar difference variation curve with flow distance in the downstream area of the wind farm in one embodiment of the present application;

[0047] Figure 7 is the main structure block diagram of the scalar field determination device of the wind farm in one embodiment of the present application;

[0048] Figure 8 is the structure schematic diagram of the electronic device in one embodiment of the present application. DETAILED DESCRIPTION

[0049] Some embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the scope of protection of the present application.

[0050] ​In the description of the present application, "module", "processor" can include hardware, software or a combination of both. A module can include hardware circuit, various suitable sensors, communication port, memory, and can also include software part such as program code, and can be a combination of software and hardware. The processor can be a central processor, microprocessor, image processor, digital signal processor or any other suitable processor. The processor has data and / or signal processing function. The processor can be implemented in software, hardware or a combination of both. The non-transitory computer readable storage medium includes any suitable medium that can store program code, such as magnetic disk, hard disk, optical disk, flash memory, read-only memory, random access memory, etc. The term "A and / or B" means all possible combinations of A and B, such as only A, only B or A and B. The term "at least one of A or B" or "at least one of A and B" has similar meaning as "A and / or B", which can include only A, only B or A and B. The singular form of the term "one", "this" can also include plural forms.

[0051] At present, the traditional method combines the wind farm equivalent roughness model and the numerical simulation method, and proposes a wind farm downstream wake numerical calculation method considering the calculation accuracy and the calculation cost. However, this method only focuses on the wind farm downstream wake loss, and does not analyze the evolution of the downstream scalar field, resulting in the technical problem of low calculation accuracy of the downstream scalar field. Therefore, the present application proposes a wind farm scalar field determination method, an electronic device and a storage medium.

[0052] Referring to the accompanying Figure 1 , Figure 1 is the main step flow diagram of the wind farm scalar field determination method according to an embodiment of the present application.

[0053] As Figure 1 shown, the wind farm scalar field determination method in the embodiment of the present application mainly includes the following steps S10-S40.

[0054] Step S10: Obtain the momentum roughness of the wind farm.

[0055] The momentum roughness reflects the degree of influence of the airflow momentum transfer in the wind farm by the underlying surface (such as the distribution of wind turbines, etc.). It can be obtained by the wind turbine diameter, thrust coefficient, unit spacing and other parameters of the wind farm, and is a characteristic quantity describing the airflow momentum retardation effect of the wind farm.

[0056] Step S20: Determine the scalar roughness of the wind farm based on the momentum roughness.

[0057] The scalar roughness is a roughness parameter related to the transmission of a scalar (such as temperature, pollutant concentration, etc.) in the wind farm, which is determined based on the momentum roughness and a power law relationship therebetween and a physical formula derivation, and is used to represent the degree to which the transmission of the scalar in the wind farm is affected by the underlying surface.

[0058] Step S30: obtaining the wall roughness of the wind farm based on the momentum roughness and the scalar roughness.

[0059] The wall roughness is a parameter obtained by integrating the momentum roughness and the scalar roughness, reflecting the comprehensive influence of the overall underlying surface (wall) of the wind farm on the airflow and the transmission of the scalar, and integrating the roughness characteristics of the momentum and the scalar transmission.

[0060] Step S40: determining the scalar field data of the downstream area of the wind farm based on the wall roughness.

[0061] The scalar field data refers to the spatial distribution information of the scalar (such as wind speed, temperature, pollutant concentration, etc.) in the downstream area of the wind farm, including the specific values and distribution characteristics of the scalar at different positions.

[0062] Based on the above steps S10-S40, the momentum roughness of the wind farm is first obtained; the scalar roughness of the wind farm is determined based on the momentum roughness; the wall roughness of the wind farm is obtained based on the momentum roughness and the scalar roughness; and the scalar field data of the downstream area of the wind farm is determined based on the wall roughness, thereby realizing the rapid calculation of the scalar field of the downstream area of the wind farm and improving the calculation accuracy of the scalar field of the downstream area of the wind farm.

[0063] The above steps S10-S40 will be further described below.

[0064] Specifically, the expression of the momentum roughness in the above step S10 is:

[0065] wherein, is the momentum roughness of the wind farm; is the hub height; is the rotor diameter; is the percentage of the wake-added eddy viscosity coefficient; is the Karman constant; is the deviation factor; is the flow unevenness factor; is the surface roughness length; is the equivalent drag coefficient.

[0066] The above is a further description of step S10, and the step S20 will be further described below.

[0067] Specifically, the above step S20 can be implemented through the following steps S201-S203.

[0068] Step S201: Obtain the ratio of momentum roughness to scalar roughness, which follows a power-law relationship with the roughness Reynolds number.

[0069] Specifically, wind farm momentum roughness and scalar roughness The logarithmic ratio follows the roughness Reynolds constant. The power law relationship, according to and The relationship between them is used to solve for the scalar roughness. The expression for momentum roughness. Where, momentum roughness... and scalar roughness satisfy:

[0070]

[0071] Among them, roughness Reynolds number It can be represented as , The friction velocity of the boundary layer of the wind farm. Kinematic viscosity, a, b, and c are unknown parameters.

[0072] Step S202: Obtain the functional relationship between scalar roughness and Sherwood number, volumetric drag transmission coefficient, and momentum roughness.

[0073] Specifically, surface renewal theory and Qualitative analysis combining methods Momentum roughness in the method and scalar roughness Characteristics of power laws. Sherwood number in surface update theory. This can be interpreted as the interface and volume properties of the inertial sublayer, defined as:

[0074]

[0075] Volumetric drag transmission coefficient and Related, the expression is:

[0076]

[0077] By assumption Then the scalar roughness can be derived from , , The scalar roughness is expressed as a function of the Sherwood number, the volumetric drag transmission coefficient, and the momentum roughness as follows:

[0078]

[0079] Step S203: Determine the scalar roughness of the wind farm based on functional and power-law relationships.

[0080] Further assumptions Therefore, the momentum roughness is .

[0081] In macroscopic, large-scale eddy current models The power-law exponent in the method is 1 / 2, therefore This can be expressed as:

[0082]

[0083] Numbers are also defined as:

[0084]

[0085] in, The friction velocity of the wind farm; This is a scalar value at the Earth's surface. For height scalar value at; It is a scalar flux on the Earth's surface.

[0086] In one specific implementation, step S203 can be achieved by the following steps S2031 to S2032.

[0087] Step S2031: Eliminate the volumetric drag transmission coefficient based on the momentum roughness.

[0088] Specifically, the momentum roughness obtained in step S1 Substitute into equation (4) to eliminate the influence of the volumetric resistance transmission coefficient.

[0089] Step S2032: Based on the functional relationship and the power law relationship, fit the Sherwood number to obtain the scalar roughness of the wind farm.

[0090] Specifically, through Give The expression. Where , The parameters a and b are obtained by fitting the scalar distribution profile within the logarithmic region.

[0091] In one specific embodiment of this application, the method further includes:

[0092] When the momentum roughness is greater than a preset threshold, the first scalar characteristic value corresponding to the momentum roughness is obtained by large eddy simulation based on the functional relationship and the power law relationship.

[0093] When the momentum roughness is less than or equal to a preset threshold, the second scalar characteristic value corresponding to the momentum roughness is obtained by large eddy simulation based on the functional relationship and the power law relationship.

[0094] Fit the first scalar feature value or the second scalar feature value;

[0095] The scalar roughness of the wind farm is evaluated based on the fitting results.

[0096] The preset threshold refers to the height of the first layer of the grid.

[0097] Specifically, based on the momentum roughness obtained from step S1, and combined with equation (7), the roughness under all calculation examples is obtained. And perform fitting. Due to the momentum roughness of the model in most cases. Less than the height of the first layer of mesh Therefore, the height is determined using large eddy simulation. scalar value at In such cases, the following procedures shall be followed.

[0098] Furthermore, when Height obtained through large eddy simulation scalar value at (First scalar eigenvalue).

[0099] when Scalar expression at the wall through large eddy simulation Get height scalar value at (Second scalar eigenvalue), The scalar roughness size set for LES.

[0100] Next, substitute the first or second scalar eigenvalue into equation (7) to calculate the values ​​for all examples. And perform least squares fitting to obtain .

[0101] Finally, based on the fitting results Evaluate the results obtained in step S2032 above The two schemes were found to be well-matched, indicating that the calculations of the two schemes were satisfactory. The magnitudes are very close, and the power-law exponents of the rough Reynolds number in the fitted curves are also close, indicating that through The method for fitting the scalar roughness of a wind farm is reasonable. For example, Figure 2 illustrates... Two fitting results are given, among which the expression of the fitting curve in Figure 2(a) is: Figure 2(b) is .Depend on It can be seen that the expression fits very well and basically captures the essence. Follow The changing trend.

[0102] For example, the obtained parameters to be determined ,Depend on The expression for scalar roughness can be obtained as follows:

[0103] in As shown in formula (1). From Figure 3 It can be seen that the fitting expression of the scalar roughness model matches the scalar roughness magnitude obtained by LES quite well.

[0104] The above is a further explanation of step S20. Step S30 will be further explained below.

[0105] Specifically, regarding step S30 above, the expression for the wall roughness is as follows:

[0106]

[0107]

[0108] in, The wall's momentum roughness; For scalar roughness of the wall surface; For the momentum roughness of the non-wind farm area; For the momentum roughness of the wind farm area; For scalar roughness in non-wind farm areas; For the scalar roughness of the wind farm; Indicates the spatial extent of the non-wind farm area; This indicates the spatial extent of a wind farm area.

[0109] Specifically, the wall roughness correction function is used in formulas (9) and (10). and Replace the wall roughness constant and Note that the wall roughness correction function is a function of the change in ground position coordinates. The upstream location is divided into two regions: the wind farm region, with a spatial range of... ; Non-wind farm area, spatial range is .

[0110] The above is a further explanation of step S30. The following is a further explanation of step S40.

[0111] In one specific embodiment of the present application, the scalar field data of the downstream region of the wind farm is obtained based on the wall roughness calculation, comprising: correcting an open source program in a physical field simulation auxiliary tool according to the wall roughness, and calculating the scalar field data of the downstream region of the wind farm based on the corrected physical field simulation auxiliary tool.

[0112] Specifically, the correction function of the wall roughness using formulas (9) and (10) and is adopted to adaptively correct the LESGO open source program in the physical field simulation auxiliary tool, so that the LESGO open source program corresponds to formulas (9) and (10). Finally, the scalar field data of the downstream region of the wind farm is obtained by solving the fluid mechanics equation using LESGO.

[0113] In one specific embodiment of the present application, the method further comprises: performing scalar flux evaluation based on the scalar field data of the downstream region of the wind farm.

[0114] Specifically, the sensible heat flux and latent heat flux can be further calculated according to the scalar field data of the downstream region of the wind farm, so as to realize the evaluation of the scalar flux.

[0115] Next, the method for determining the scalar field of the wind farm of the present application will be described in detail in the manner of specific embodiments.

[0116] Specifically, a total of three calculation examples are set, and the roughness sizes of the three calculation examples are given in Table 1. Among them, Case A is the reference calculation example, i.e. the actuator disc calculation example, and Case B and Case C are equivalent roughness calculation examples. The momentum roughness of the wind farm region of Case B is , and the scalar roughness is usually assumed to be 1 / 10 of the momentum roughness, i.e. , and the momentum roughness of the wind farm region of Case C is still , but the scalar roughness is obtained from formula (8). In all calculation examples, the hub height and rotor diameter of the wind turbine are m, the thrust coefficient of the typical working condition is , and all units are aligned. The size of the precursor and the main calculation domain is set to km, the grid number is , the number of wind turbine units is , and the streamwise spacing between units is m, m. The spatial range of the wind farm is x direction 2-16.4 km, y direction 0-6 km, representing an infinite streamwise calculation example.

[0117] Table 1 Parameter settings of all

[0118]

[0119] Fig. 4(a) and Fig. 4(b) respectively give the wind farm nesting schematic diagram of three calculation examples. Fig. 5(a)-5(d) gives the normalized scalar difference vertical distribution curve at different wind farm downstream positions. As can be seen from the figure, at the four representative flow direction positions of 1km, 3km, 5km and 10km downstream of the wind farm, the nesting method of the newly developed scalar roughness model is closer to the actuator disk result. Figure 6 The normalized scalar difference downstream of the wind farm is given as a function of the downstream distance. It can be seen that the newly developed scalar roughness model and LES nesting method is significantly better than the conventional assumed scalar roughness model nesting method, and well predicts the scalar flow direction distribution downstream of the wind farm.

[0120] The wind farm downstream scalar field numerical calculation method based on the wind farm scalar roughness model nesting provided by the present application realizes the rapid calculation of the scalar downstream of the wind farm. At the same time, it also makes up for the shortcomings of the previous nesting method research, which only focuses on the wind farm downstream wake loss, and does not analyze the evolution of the downstream scalar field. Taking the simulation results of the actuator disk as the benchmark, it is confirmed that compared with the conventional assumed scalar roughness model nesting method, the newly developed wind farm scalar roughness model and LES nesting method significantly improves the prediction accuracy of the normalized scalar difference in the flow direction and vertical position. The LES nesting method of the new model in predicting the change of the normalized scalar difference with the downstream distance of the wind farm has a maximum error of only 0.57%.

[0121] It should be noted that although the steps in the above embodiments are described in a specific order, those skilled in the art can understand that, in order to achieve the effects of the present application, the different steps do not necessarily have to be executed in such an order, they can be executed simultaneously (in parallel) or in other orders, and these changes are within the protection scope of the present application.

[0122] Further, the present application also provides a wind farm scalar field determination device.

[0123] Referring to the accompanying Figure 7 , Figure 7 is the main structure block diagram of the wind farm scalar field determination device according to an embodiment of the present application. As Figure 7 shown, the wind farm scalar field determination device in the embodiment of the present application mainly includes a first acquisition module 11, a first determination module 12, a second acquisition module 13 and a second determination module 14. In some embodiments, one or more of the first acquisition module 11, the first determination module 12, the second acquisition module 13 and the second determination module 14 can be combined together to become one module.

[0124] In some embodiments, the first obtaining module 11 can be configured to obtain a momentum roughness of the wind farm.

[0125] The first determining module 12 can be configured to determine a scalar roughness of the wind farm based on the momentum roughness.

[0126] The second obtaining module 13 can be configured to obtain a wall roughness of the wind farm based on the momentum roughness and the scalar roughness.

[0127] The second determining module 14 can be configured to determine scalar field data of a downstream area of the wind farm based on the wall roughness.

[0128] In one embodiment, the description of the functions implemented can be referred to the steps S10-S40.

[0129] The wind farm scalar field determining apparatus described above is configured to execute the wind farm scalar field determining method described above. Figure 1 The technical principles, the technical problems solved by, and the technical effects of the wind farm scalar field determining method embodiment shown are similar to those of the wind farm scalar field determining apparatus, and those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process and related description of the wind farm scalar field determining apparatus can be referred to the description of the wind farm scalar field determining method embodiment, which will not be repeated here.

[0130] Further, it should be understood that, since the setting of each module is only for illustrating the functional units of the apparatus of the present application, the physical device corresponding to the module can be the processor itself, or a part of software, a part of hardware, or a part of combination of software and hardware in the processor. Therefore, the number of each module in the figure is only illustrative.

[0131] Those skilled in the art can understand that each module in the apparatus can be adaptively split or combined. Such splitting or combining of the specific module will not cause the technical solution to deviate from the principles of the present application, and therefore, the technical solution after splitting or combining will fall within the protection scope of the present application.

[0132] Those skilled in the art can understand that all or part of the processes in the method of the embodiment described above can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable storage medium can include any entity or device, medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium, etc. that can carry the computer program code.

[0133] Further, the present application also provides an electronic device, which can include at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores a computer program, and the computer program is executed by the at least one processor to implement the wind farm scalar field determination method according to any one of the above-mentioned embodiments. Referring to Figure 8 as shown, Figure 8 The structure of the electronic device is shown in the embodiment, which includes a processor 100 and a memory 200.

[0134] Further, the present application also provides a computer readable storage medium. In a computer readable storage medium embodiment according to the present application, the computer readable storage medium can be configured to store a program for executing the wind farm scalar field determination method of the above-mentioned method embodiments, which can be loaded and run by a processor to implement the wind farm scalar field determination method described above. For ease of illustration, only the parts related to the embodiments of the present application are shown, and the specific technical details not disclosed are referred to the method part of the embodiments of the present application. The computer readable storage medium can be a memory device formed by various electronic devices, and optionally, the computer readable storage medium in the embodiments of the present application is a non-transitory computer readable storage medium.

[0135] So far, the technical solution of the present application has been described in combination with the specific embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will fall within the protection scope of the present application.

Claims

1. A method of determining a scalar field of a wind farm, characterized in that, The method comprises: acquiring a momentum roughness of the wind farm; determining a scalar roughness of the wind farm based on the momentum roughness, comprising: acquiring that a ratio of the momentum roughness to the scalar roughness obeys a power law relationship of roughness Reynolds number; acquiring a functional relationship of the scalar roughness with respect to a Sherwood number, a volume resistance transfer coefficient and the momentum roughness; determining the scalar roughness of the wind farm based on the functional relationship and the power law relationship; acquiring a wall roughness of the wind farm based on the momentum roughness and the scalar roughness; determining a scalar field data of a downstream region of the wind farm based on the wall roughness.

2. The method of determining scalar fields of a wind farm according to claim 1, characterized in that, The determining the scalar roughness of the wind farm based on the functional relationship and the power law relationship comprises: excluding the volume resistance transfer coefficient based on the momentum roughness; fitting the Sherwood number based on the functional relationship and the power law relationship to obtain the scalar roughness of the wind farm.

3. The method of determining scalar fields of a wind farm according to claim 2, characterized in that, The method further comprises: when the momentum roughness is greater than a preset threshold, acquiring a first scalar eigenvalue corresponding to the momentum roughness by a large eddy simulation method based on the functional relationship and the power law relationship; when the momentum roughness is less than or equal to the preset threshold, acquiring a second scalar eigenvalue corresponding to the momentum roughness by the large eddy simulation method based on the functional relationship and the power law relationship; fitting the first scalar eigenvalue or the second scalar eigenvalue; evaluating the scalar roughness of the wind farm based on a fitting result.

4. The method of determining scalar fields of a wind farm according to claim 1, characterized in that, An expression of the wall roughness is: wherein is the wall momentum roughness; is the wall scalar roughness; is the momentum roughness of the non-wind-park region; is the momentum roughness of the wind-park region; is the scalar roughness of the non-wind-park region; is the scalar roughness of the wind-park region; denotes the spatial extent of the non-wind-park region; denotes the spatial extent of the wind-park region.

5. The method of determining scalar fields of a wind farm according to claim 1, characterized in that, The calculating the scalar field data of the downstream region of the wind farm based on the wall roughness comprises: modifying an open source program in a physical field simulation auxiliary tool according to the wall roughness, calculating the scalar field data of the downstream region of the wind farm based on the modified physical field simulation auxiliary tool.

6. The method of determining scalar fields of a wind farm according to claim 1, characterized in that, An expression of the momentum roughness of the wind farm is: wherein, is the momentum roughness for the wind farm; is the hub height; is the rotor diameter; is the wake-added eddy viscosity percentage; is the Karman constant; is the deviation factor; is the flow non-uniformity factor; is the surface roughness length; is the equivalent drag coefficient.

7. The method of determining scalar fields of a wind farm according to claim 1, characterized in that, The method further comprises: performing scalar flux evaluation based on the scalar field data of the downstream region of the wind farm.

8. An electronic device, comprising: comprises: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory has stored therein a computer program, the computer program being executed by the at least one processor to implement the wind farm scalar field determination method in any one of claims 1 to 7.

9. A computer readable storage medium having stored therein a plurality of program codes, characterized in that, The program code is adapted to be loaded and run by the processor to execute the wind farm scalar field determination method in any one of claims 1 to 7. The program code is adapted to be loaded and run by the processor to execute the wind farm scalar field determination method in any one of claims 1 to 7.

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