Image processing program, image processing method, and image processing apparatus

The image processing program intuitively verifies wind power generation system layouts by superimposing wake data onto layouts, addressing the limitations of existing tools by simplifying the verification process and reducing user expertise requirements.

JP2026060737APending Publication Date: 2026-04-08TOKYO ELECTRIC POWER CO HOLDINGS INC
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-09-27
Publication Date
2026-04-08

AI Technical Summary

Technical Problem

Existing wind power generation layout optimization tools, such as PyWake, require users to spend significant time verifying layouts and are difficult for non-Python proficient users, lacking intuitive wake diffusion visualization.

Method used

An image processing program and apparatus that creates and superimposes wake data onto wind power generation device layouts, allowing users to intuitively verify layout optimality through graphical user interface (GUI) inputs and calculations.

Benefits of technology

Enables users to easily and intuitively verify the optimality of wind power generation system layouts, reducing the time and technical expertise required for layout verification.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide an image processing program, an image processing method, and an image processing apparatus that can support the intuitive and easy verification of whether the layout of a wind power generation system is optimal. [Solution] The image processing program according to the present invention causes a computer to execute the following steps: a first output step of creating a first image data showing a pre-set layout of a plurality of wind power generation devices and outputting it to a display device; an input reception step of receiving input for setting conditions of a virtual arrangement area for the layout via a GUI that displays on the screen of the display device; an analysis step of analyzing wakes based on the conditions; and a second output step of creating a second image data in which wakes from each wind power generation device are superimposed on the layout based on the analysis results and outputting it to a display device.
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Description

Technical Field

[0001] The present invention relates to an image processing program, an image processing method, and an image processing apparatus.

Background Art

[0002] Conventionally, when generating electricity using a plurality of wind power generation devices, if a wind power generation device is installed leeward of another wind power generation device, it is affected by the wake of the other wind power generation device. The wind under the influence of the wake has a lower wind speed compared to when it is not affected by the wake. Therefore, the wind power generation device under the influence of the wake has a reduced power generation amount. For this reason, while it is required to install more wind power generation devices in a limited installation area, it is important to perform an optimal layout that is not affected by the wake.

[0003] Regarding the layout of wind power generation devices, there is a known technique for evaluating the influence of wakes on each wind power generation device based on position information, wind direction information, and wind speed information, and generating layout information for changing the layout of at least some of the wind power generation devices according to the evaluation results (see, for example, Patent Document 1).

[0004] Also, as a technique for optimizing the layout of wind power generation devices, advanced mathematical methods (random walk method, genetic algorithm (GA), neural network, etc.) and commercial software WindFarmer (DNV) using them are known.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] For users to verify whether the layout of a wind turbine is optimal, it is desirable to be able to display wake diffusion information through simulation. One such simulation software is PyWake, developed by the Technical University of Denmark (DTU). However, PyWake primarily focuses on determining the layout of the wind turbine, and the wake visualization function is secondary, requiring users to spend a lot of time verifying the layout. In addition, since PyWake is programmed using Python, it is difficult for users who are not proficient in Python.

[0007] Under these circumstances, there was a need for technology that could support intuitive and easy verification of whether the layout of a wind power generation system was optimal.

[0008] The present invention has been made in view of the above, and aims to provide an image processing program, an image processing method, and an image processing apparatus that can support an intuitive and easy verification of whether the layout of a wind power generation device is optimal. [Means for solving the problem]

[0009] To solve the above-mentioned problems and achieve the objective, the image processing program according to the present invention causes a computer to execute the following steps: a first output step of creating a first image data showing a pre-set layout of a plurality of wind power generation devices and outputting it to a display device; an input acceptance step of receiving input for setting conditions of a virtual arrangement area for the layout via a GUI that displays on the screen of the display device; an analysis step of analyzing wakes based on the conditions; and a second output step of creating a second image data in which wakes from each wind power generation device are superimposed on the layout based on the analysis results and outputting it to the display device.

[0010] Furthermore, in the present invention, the image processing program according to the present invention includes the following steps: the input receiving step receives an instruction input to change the position of the wind power generation equipment, causes the computer to further execute a layout calculation step which calculates the position of each wind power generation equipment based on the setting input, the analysis step which analyzes the wakes emitted by the wind power generation equipment based on the positions of the wind power generation equipment calculated in the layout calculation step and the wind conditions set in the virtual installation area, and the second output step which creates a second image data by superimposing the wakes analyzed in the analysis step onto the layout of the wind power generation equipment calculated in the layout calculation step.

[0011] Furthermore, in the image processing program according to the present invention, the input receiving step receives an instruction input to add a new wind power generation device or delete a wind power generation device, causes the computer to further execute a layout calculation step to calculate the position of each wind power generation device based on the instruction input, and the second output step creates a second image data by superimposing the wake analyzed in the analysis step onto the layout of the wind power generation devices calculated in the layout calculation step.

[0012] Furthermore, in the image processing program according to the present invention, the input receiving step receives an instruction input to change the wind conditions, the analysis step analyzes the wake emitted by the wind power generation device based on the location of the wind power generation device and the wind conditions set in the virtual installation area, and the second output step creates the second image data by superimposing the wake analyzed in the analysis step onto the layout of the wind power generation device.

[0013] Furthermore, in the image processing program according to the present invention, the first output step creates the first image data by superimposing a wake onto the layout of the wind power generation device.

[0014] Furthermore, in the image processing program according to the present invention, the first output step creates first image data showing an image in which a wake is superimposed on the layout of the wind power generation device and the power output by the layout of the wind power generation device.

[0015] Furthermore, the image processing method according to the present invention is an image processing method in which a computer creates image data for displaying the layout of a plurality of wind power generation devices on a display device and outputs it to the display device, and includes: a first output step of reading a predetermined layout of a plurality of wind power generation devices by referring to a storage unit, creating a first image data showing the layout and outputting it to the display device; an input reception step of receiving setting inputs for virtual arrangement area conditions for the layout via a GUI that displays on the screen of the display device; an analysis step of analyzing wakes from each wind power generation device based on the setting inputs; and a second output step of creating a second image data in which wakes from each wind power generation device are superimposed on the layout based on the analysis results and outputting it to the display device.

[0016] Furthermore, the image processing apparatus according to the present invention comprises: an analysis unit that analyzes wakes based on the conditions of a virtual arrangement area for the layout of a plurality of wind power generation devices in a virtual arrangement area; an input unit that receives setting inputs for the conditions of the virtual arrangement area for the layout via a GUI that displays them on the screen of a display device; an image processing unit that creates image data showing a pre-set layout of a plurality of wind power generation devices, or image data in which the wakes analyzed by the analysis unit based on the setting input are superimposed on the layout; and a control unit that outputs the image data to the display device. [Effects of the Invention]

[0017] According to the present invention, it is possible to support users in intuitively and easily verifying whether the layout of a wind power generation system is optimal. [Brief explanation of the drawing]

[0018] [Figure 1] FIG. 1 is a block diagram showing the configuration of an arithmetic system that executes an image processing program according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram for explaining the wake behind the arrangement of wind turbines. [Figure 3] FIG. 3 is a flowchart showing the flow of image processing according to an embodiment of the present invention. [Figure 4] FIG. 4 is a diagram showing an example of the arrangement display of wind turbines. [Figure 5] FIG. 5 is a diagram for explaining the change in the arrangement of wind turbines. [Figure 6] FIG. 6 is a diagram (part 1) for explaining the change in the arrangement environment conditions of wind turbines. [Figure 7] FIG. 7 is a diagram (part 2) for explaining the change in the arrangement environment conditions of wind turbines. [Figure 8] FIG. 8 is a diagram (part 1) for explaining the addition of wind turbines. [Figure 9] FIG. 9 is a diagram (part 2) for explaining the addition of wind turbines.

Embodiments for Carrying Out the Invention

[0019] In the following description, as embodiments for carrying out the present invention (hereinafter referred to as "embodiments"), an image processing program, an image processing method, and an image processing apparatus will be described. Further, the present invention is not limited by these embodiments. Furthermore, in the description of the drawings, the same reference numerals are assigned to the same parts. Still further, it should be noted that the drawings are schematic, and the relationships between the thickness and width of each member, the ratios of each member, etc. are different from reality. Also, there are parts where the dimensions and ratios are different between the drawings.

[0020] (Embodiment) Figure 1 is a block diagram showing the configuration of a computing system that executes an image processing program according to one embodiment of the present invention. The image processing system 1 comprises an image processing device 10, an input device 20, and a display device 30. The image processing device 10 is communicated with the input device 20 and the display device 30, respectively.

[0021] Here, the wind turbine that is the target of calculations by the image processing system 1 consists of a rotor made up of multiple blades, a hub that rotatably supports the blades, a nacelle made up of a generator and a gearbox, and a tower erected at the installation site to support the hub. It generates electricity by rotating the blades and converting the rotational power into electricity, and multiple turbines are installed in the installation area. In this embodiment, "layout" refers to the arrangement of multiple wind turbines in a virtual installation area. Here, the "virtual installation area" is a virtual installation space on a computer where conditions are set regarding the land (range) where the wind turbines will be installed and the environment of that land (e.g., wind direction and wind speed), and by providing coordinate values, it is possible to simulate a real wind farm layout. Note that wind turbines are installed offshore or on land.

[0022] The image processing device 10 comprises a layout calculation unit 11, an analysis unit 12, an image processing unit 13, a control unit 14, and a storage unit 15.

[0023] The layout calculation unit 11 calculates the layout of the wind turbine based on pre-set layout information of the wind turbine and change information of the wind turbine input via the input device 20.

[0024] The analysis unit 12 uses the layout of the wind turbine calculated by the layout calculation unit 11 and environmental conditions such as wind power and wind speed to analyze the wake (wake) produced by the wind turbine and the output (power generation amount) of the wind turbine. For wake analysis, known analytical models can be used, such as the Katic & Jensen model (Katic, I., Hojstrup, J., & Jensen, NO (1987) “A Simple Model for Cluster Efficiency”, In W. Palz & E. Sesto (Eds.), EWEC'86. Proc. Vol. 1, pp. 407-410. A. Raguzzi.) or the Ishihara & Qian model (Ishihara, T., & Qian G.-W., (2017), “A new Gaussian-based analytical wake model for wind turbines considering Ambient turbulence intensities and thrust coefficient effects”, Journal of Wind Engineering & Industrial Aerodynamics, Vol. 177, pp. 275-292.). Furthermore, for the analysis of the superposition of wakes from multiple wind turbines, known models can be used (see, for example, Y. Ma et al., The Jensen Wind Farm Parameterization for the WRF and MPAS Models, (2022), Wind Energy Science (EAWE)).

[0025] The image processing unit 13 generates image data that shows the layout calculated by the layout calculation unit 11, or an image in which the wake analyzed by the analysis unit 12 is superimposed on the layout of the wind turbine, and image data that includes a GUI (Graphical User Interface) to be displayed on the display screen. The image data can also be output as an image file.

[0026] The control unit 14 controls the operation processing of each component of the image processing device 10. The control unit 14 also functions as an input unit that receives input for setting conditions for virtual placement areas for the layout via a GUI that displays them on the screen of the display device 30. For example, when the control unit 14 receives an instruction input to start calculation processing via the input device 20, it causes each unit to execute the processing. The control unit 14 also causes display information, including the display image generated by the image processing unit 13, to be displayed on the display device 30.

[0027] The analysis unit 12, layout calculation unit 11, image processing unit 13, and control unit 14 are each composed of processors such as a CPU (Central Processing Unit), or various arithmetic circuits that perform specific functions, such as an ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), or CPLD (Complex Programmable Logic Device).

[0028] The memory unit 15 stores programs (for example, the layout display program described later) for the control unit 14 to perform various operations. The memory unit 15 is configured using volatile memory and non-volatile memory, or a combination thereof. For example, the memory unit 17 is configured using RAM (Random Access Memory), ROM (Read Only Memory), etc.

[0029] The input device 20 receives various signals related to the operation of the image processing device 10 and outputs the received signals to the image processing device 10. The input device 20 is composed of a keyboard, mouse, switches, touch panel, etc. The input device 20 outputs instruction signals for operating the GUI, which are input by these components, to the image processing device 10.

[0030] The display device 30 is configured using a display that shows images created by the image processing device 10 under the control of the control unit 14. In addition to the display, the display device 30 may also be configured using speakers that output sound and light, a light source, etc.

[0031] Here, the wake generated by wind turbines will be explained with reference to Figure 2. Figure 2 is a diagram illustrating wake generation due to the arrangement of wind turbines. Figure 2 shows an example where the wind is blowing from the lower left to the upper right of the figure. Also, in Figure 2, three wind turbines (first wind turbine 101, second wind turbine 102, and third wind turbine 103) are installed, and they are arranged from left to right in the order of first wind turbine 101, second wind turbine 102, and third wind turbine 103. In Figure 2, y / D indicates the position in one direction (y direction) in a horizontal plane perpendicular to the direction of gravity, with the distance non-dimensioned by the rotor diameter. ΔU / Uin indicates the ratio of the loss velocity to the wind inflow velocity into the wind turbine. Note that x / D (see Figure 4) indicates the position in the direction perpendicular to the y direction (x direction) in the horizontal plane, with the distance non-dimensioned (x direction). Also, x and y indicate the distance in each direction from the reference position. In this case, wakes occur on the leeward side of each wind turbine. If a wind turbine is located on the leeward side, the wind force received by the wind turbine decreases due to the wakes, and ΔU / Uin increases. Therefore, it is preferable not to place wind turbines in an area affected by wakes.

[0032] Next, the image processing performed by the image processing device 10 according to this embodiment will be described with reference to Figure 3. Figure 3 is a flowchart showing the flow of image processing according to one embodiment of the present invention. When an image display instruction is input to the control unit 14, it performs image processing. In Figure 3, the process of receiving an input indicating that the position of some wind power generation equipment should be changed will be described as a setting input.

[0033] First, the layout calculation unit 11 reads the initial layout information of the wind turbines by referring to, for example, the storage unit 15, and calculates the initial layout of the wind turbines (step S101). The layout calculation unit 11 calculates the position (coordinates) of each wind turbine in the coordinate space corresponding to the virtual installation area from the initial layout information. The initial layout here can be any layout that serves as a base for verifying the optimal layout, and may be a pre-set layout or a layout generated by the user specifying the position of the wind turbines. Alternatively, the layout information of the wind turbines can be written in a spreadsheet file such as Excel, and the layout can be set by specifying and importing the file via the GUI.

[0034] Then, the analysis unit 12 analyzes the wake emitted by each wind turbine in the initial layout (step S102). The analysis unit 12 performs the analysis using a pre-set model (for example, the Katic & Jensen model or the Ishihara & Qian model). The analysis unit 12 analyzes, for example, the wake in the horizontal cross-section at the hub height.

[0035] Subsequently, the image processing unit 13 creates image data (first image data) by superimposing the wake analyzed by the analysis unit 12 onto the initial layout (step S103). Once the image data is generated, the control unit 14 outputs a display image to the display device 30 (step S104). Upon receiving the image data, the display device 30 displays an image based on the image data. In this embodiment, an example was described in which the first image data is an initial layout with a wake superimposed on it. However, any image data that displays the layout is acceptable, and it may also be image data of only the initial layout without a wake superimposed on it. If a wake superimposed is not used, step S102 can be omitted.

[0036] Figure 4 is a diagram showing an example of a wind power generation system layout display. The display device 30 displays a display image W1 showing, for example, a wind power generation system and a wake, as shown in Figure 4. The display image W1 has a first display area W10 that displays the layout and wake of the wind power generation system, a second display area W21 that displays conditions related to wind direction and wind speed, a third display area W22 that displays information about the wind power generation system and wake model, a fourth display area W23 that displays power and wind speed, and a fifth display area W24 that displays additionally configured wind power generation system information.

[0037] The first display area W10 shows the layout of the wind turbines in the virtual installation area, the wakes emitted by each wind turbine, and the distribution of ΔU / Uin.

[0038] The second display area W21 shows an arrow symbol W211 indicating wind direction and wind speed, a first slider W212 indicating wind speed, a second slider W213 indicating turbulence intensity (the ratio of the standard deviation of wind speed to the average wind speed), and a third slider W214 indicating wind direction. Note that the third slider W214 is set to zero degrees when the arrow symbol W211 indicates a northerly wind.

[0039] The third display area W22 shows the type of wind turbine, blade diameter, hub height, thrust constant, wake model, and wake scaling factor applied to the wake model.

[0040] The fourth display area W23 shows the power output by the wind turbine layout and the wind speed at the location of each wind turbine. The power displayed here includes the power output for the entire layout, its average value, and the power output by each wind turbine. The power output for the entire layout is, for example, the sum of the power generated by each wind turbine.

[0041] The fifth display area W24 displays the location of the newly added wind turbine (shown as a circled number in Figure 4), the wind speed at the installation location, and the amount of power generated. Wind turbines can be added by clicking on the addition location in the first display area W10, as described later, or by entering the values ​​for x / D and y / D in the fifth display area W24 and clicking the add button. In Figure 4, the wind turbine added in the first display area W10 is only shown with its position and a number; the wake indicator is not displayed.

[0042] By reviewing information in each area, users can understand the wind turbine, the wake, and various other information. Users can also select the wake analysis model. For example, users can choose the Katic & Jensen model or the Ishihara & Qian model from the tabs at the top of the display screen.

[0043] Subsequently, the control unit 14 determines, via the input device 20, whether or not there is an input for a movement instruction for the wind power generation device (step S105). If the control unit 14 determines that there is no input for a movement instruction (step S105: No), it proceeds to step S110. Note that the determination of whether or not there is an input for a movement instruction may be repeated for a predetermined time after the image is displayed on the display device 30 in step S104. On the other hand, if the control unit 14 determines that there is an input for a movement instruction (step S105: Yes), it proceeds to step S106.

[0044] In step S106, the layout calculation unit 11 calculates the layout of the wind turbines after the change based on the wind turbines to be moved and the movement instructions (layout calculation step). For example, the layout calculation unit 11 calculates the position (coordinates) of each wind turbine in the coordinate space corresponding to the installation area from the initial layout information.

[0045] Then, the analysis unit 12 analyzes the wakes emitted by each wind turbine in the modified layout calculated in step S106 (step S107).

[0046] Subsequently, the image processing unit 13 generates image data (second image data) by superimposing the wake analyzed in step S107 onto the modified layout (step S108). Once the image data is generated, the control unit 14 outputs the image data to the display device 30 (step S109). Upon receiving the image data, the display device 30 displays an image based on the image data. For example, the display device 30 displays an image showing the modified wind power generation device and the wake (see Figure 4).

[0047] After the image is displayed, the control unit 14 determines whether or not to terminate the layout display process via the input device 20 (step S110). Here, the control unit 14 determines to terminate the process if there is an operation or instruction input indicating the end of the process, such as the display screen being closed (step S110: Yes), and terminates the process. On the other hand, if the control unit 14 determines that there is an input of a motion instruction, such as the display screen not being closed or an instruction input being received for the displayed image, it determines to maintain the process (step S110: No), and proceeds to step S105.

[0048] Next, as an example of operations in this embodiment, the movement of a wind turbine, the change of placement environmental conditions, and the addition of a wind turbine will be described with reference to Figures 5 to 9. The following operations show examples in which the user operates a mouse to move a pointer on the screen and input various instructions. In this case, the pointers, sliders, etc., displayed on the screen, each or a combination thereof, function as a GUI.

[0049] [Moving wind power generation equipment] Figure 5 illustrates the rearrangement of the wind turbines. As shown in Figure 5(a), the user positions pointer P1 on the second wind turbine 102 and drags it to the desired location. This movement command allows the second wind turbine 102 to be moved (see Figure 5(b)). At this time, the wake times of each wind turbine according to the rearranged layout are displayed on the screen. The user can verify the optimal layout of the wind turbines by checking this rearranged layout and wake times.

[0050] [Changes to the placement environment conditions] Figures 6 and 7 illustrate the changes in the environmental conditions for the placement of the wind power generation equipment. Figures 6 and 7 show the first display area W10 and the second display area W21 extracted from the display image W1 shown in Figure 4. The user changes the wind speed, turbulence intensity, and wind direction by operating each slider. For example, suppose the conditions shown in Figure 6 are a wind speed of 10.2 m / s, a turbulence intensity of 0.190, and a wind direction of 90 degrees. If the user changes these conditions to a wind speed of 12.8 m / s, a turbulence intensity of 0.155, and a wind direction of 60 degrees by operating each slider, the direction and length of the arrow symbol W211 will change, as shown in Figure 7, and the direction and size of the wake will also change through analysis. By observing the changes in wake due to wind conditions, the user can verify the optimal layout of the wind power generation system.

[0051] [Addition of wind power generation equipment] Figures 8 and 9 are diagrams illustrating the addition of a wind power generation device. Figures 8 and 9 show a portion of the first display area W10 and the fifth display area W24 extracted from the display image W1 shown in Figure 4. When the user operates the pointer P1 and clicks on the first display area W10 while only one wind turbine 101 is displayed (see Figure 8), a wind turbine is added at the location of the pointer P1, and information about the added wind turbine is displayed in the Additional Wind Turbine information section. In the example shown in Figure 9, the added wind turbines are displayed with circled numbers in the order they were added. The additional wind turbine information displays the coordinates of the added location, the wind speed at that location, and the expected output. Users can verify the optimal layout of the wind turbines by checking the output and other parameters of the added wind turbines. Alternatively, the analysis unit 12 may analyze the wake of the wind power generation device at the additional location and display the wake in the first display area W10. In addition to adding, wind turbines can also be deleted. For example, by manipulating pointer P1 and clicking on a wind turbine to be deleted, a confirmation screen will pop up asking whether or not to delete it, and the wind turbine can be deleted by confirming. It is also possible to select and delete wind turbines from the list in the third display area W22.

[0052] In addition to these, various conditions can be changed by the user by inputting values ​​such as the type of wind turbine, blade diameter, hub height, thrust constant, and output characteristics via the input device 20. In this case, the user can easily input changes by using a change input form (for example, a form using Excel) or a pull-down menu. Furthermore, when setting the wind power generation equipment specifications (blade diameter, output characteristics, hub height, etc.) and installation area, the image processing device 10 may, under the control of the control unit 14, acquire the file name of a pre-set file, display the acquired file name on the display device 30, and allow the user to select a file. In addition, a selection button or the like may be displayed to allow the user to choose whether to depict the wake wind speed and turbulence intensity in a dimensioned or dimensionless format. Furthermore, the image in the first display area W10 may be enlarged or reduced by mouse operation, for example, by operating the mouse wheel.

[0053] The information displayed in the third display area W22 to the fifth display area W24 can be output to a file. The file format can be selected from a predetermined output format, such as a text format like CSV (Comma Separated Value).

[0054] In the embodiment described above, after displaying the layout of the wind turbine, the user can change the position of the wind turbine, and the wake after the position change is recalculated and displayed. This allows the user to intuitively and easily verify whether the layout of the wind turbine is optimal. The program that executes the processing in this embodiment is stored in the memory unit 15 in advance and executed by each unit under the control of the control unit 14. In this case, the user does not need to create a program using command input with Python or the like, and can confirm the wake by making simple condition inputs via the GUI. Therefore, in this embodiment, even users unfamiliar with programming can easily perform simulations to verify whether the layout of the wind power generation system is optimal.

[0055] Furthermore, according to this embodiment, by changing the wind conditions and recalculating and displaying the wake for the wind turbine after the conditions have been changed, users can visually confirm the wake when the wind conditions change and intuitively verify the appropriateness of the wind turbine layout based on the wind conditions that can occur in the installation environment of the wind turbine.

[0056] Furthermore, according to this embodiment, after a predetermined layout is displayed, a wind turbine is added and its output is displayed. This allows the user to confirm whether or not to install the added wind turbine and to verify a more efficient arrangement of wind turbines within the installation area. In addition, by analyzing and displaying the wake of the added wind turbine, the user can intuitively verify whether or not to add the wind turbine.

[0057] Thus, the present invention may include various embodiments not described herein, and various design modifications can be made without departing from the technical idea specified by the claims.

[0058] For example, in the embodiment described above, the hub height of the wind buoyancy power generation device, the type of device, and the height (elevation) of the land in the installation area may be used as parameters for the analysis. Alternatively, weather data may be acquired using the coordinates of the installation location to obtain wind trends in that area, and based on these trends, wind conditions in the initial layout may be set, for example.

[0059] As described above, the layout display program, layout display method, and calculation device according to the present invention are suitable for supporting intuitive and easy verification of whether the layout of a wind power generation system is optimal. [Explanation of Symbols]

[0060] 1. Image Processing System 10 Image Processing Device 11 Layout Calculation Section 12 Analysis Department 13 Image Processing Unit 14 Control Unit 15 Storage section 20 Input devices 30 Display device

Claims

1. A first output step involves creating a first image data showing the layout of a set of multiple wind turbines and outputting it to a display device, An input reception step that accepts input for setting conditions for the virtual distribution area for the aforementioned layout via a GUI that displays the settings on the screen of the display device, An analysis step to analyze the wake based on the above conditions, A second output step involves creating a second image data in which the wakes from each wind power generation device are superimposed on the layout based on the analysis results, and outputting it to the display device. An image processing program that causes a computer to perform an image processing operation.

2. The input reception step receives an instruction input to change the position of the wind power generation device. The computer is further instructed to perform a layout calculation step to calculate the position of each wind turbine based on the aforementioned setting inputs. The analysis step analyzes the wake emitted by the wind turbine based on the position of the wind turbine calculated in the layout calculation step and the wind conditions set in the virtual installation area. The second output step creates a second image data by superimposing the wake analyzed in the analysis step onto the layout of the wind power generation device calculated in the layout calculation step. The image processing program according to claim 1.

3. The input reception step receives an instruction input to add a new wind power generation device or to delete a wind power generation device. The computer is further instructed to perform a layout calculation step to calculate the position of each wind turbine based on the aforementioned instruction input. The second output step creates a second image data by superimposing the wake analyzed in the analysis step onto the layout of the wind power generation device calculated in the layout calculation step. The image processing program according to claim 1.

4. The aforementioned input reception step receives an instruction input to change the wind conditions, The analysis step analyzes the wake emitted by the wind turbine based on the location of the wind turbine and the wind conditions set in the virtual installation area. The second output step creates a second image data by superimposing the wake analyzed in the analysis step onto the layout of the wind power generation device. The image processing program according to claim 1.

5. The first output step creates the first image data by superimposing a wake onto the layout of the wind power generation device. The image processing program according to claim 1.

6. The first output step creates first image data showing an image with a wake superimposed on the layout of the wind power generation device and the power output by the layout of the wind power generation device. The image processing program according to claim 1.

7. An image processing method in which a computer creates image data for displaying the layout of multiple wind turbines on a display device and outputs it to the display device, A first output step involves reading out the layouts of a plurality of pre-configured wind power generation devices by referring to the storage unit, creating a first image data representing the layout, and outputting it to the display device; An input reception step that accepts input for setting conditions for the virtual distribution area for the aforementioned layout via a GUI that displays the settings on the screen of the display device, An analysis step that analyzes the wake generated by each wind turbine based on the setting input, A second output step involves creating a second image data in which the wakes from each wind power generation device are superimposed on the layout based on the analysis results, and outputting it to the display device. Image processing methods including [specific details omitted].

8. An analysis unit analyzes wakes for the layout of multiple wind power generation devices in a virtual arrangement area based on the conditions of the virtual arrangement area, An input unit that accepts input for setting conditions of the virtual layout area via a GUI that displays the settings on the screen of the display device, An image processing unit that creates image data showing the layout of multiple pre-configured wind turbines, or image data in which the wake analyzed by the analysis unit based on the configuration input is superimposed on the layout, A control unit that outputs the image data to the display device, An image processing device equipped with the following features.

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