Wind state observation equipment arrangement assistance device and wind state observation equipment arrangement assistance method

Abstract

To assist selection of installation sites for wind state observation equipment.SOLUTION: A wind state observation equipment arrangement assistance device 100 comprises: a geographic undulation coefficient calculation unit 111 for calculating a geographic undulation coefficient that indicates undulation of a topography at a candidate site for a wind power generation facility; and a prediction difficulty calculation unit 112 for calculating a prediction difficulty degree of that indicates a degree of difficulty in predicting a wind state at the candidate site on the basis of the geographic undulation coefficient. The geographic undulation coefficient is calculated on the basis of an altitude difference and plane distance between the candidate site and a high altitude site which lies within a prescribed distance from the candidate site and has a higher altitude than that of the candidate site. The larger the altitude difference is, the larger the geographic undulation coefficient is, and the larger the plane difference is, the larger the geographic undulation coefficient is. The wind state observation equipment placement assistance device 100 may further include an arrangement unit 113 that determines that arrangement of the wind state observation equipment at a candidate site where the prediction difficulty degree is large has high priority.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a wind condition observation instrument installation support device and a wind condition observation instrument installation support method that support the selection of a site for installing a wind condition observation instrument. [Background technology]

[0002] When constructing a new wind power plant equipped with multiple wind power generation equipment, it is ideal to install wind condition observation equipment at all of the candidate sites for installing the wind power generation equipment to observe wind conditions and predict the amount of power generation. Patent documents 1 and 2 describe the inventions related to wind condition observation equipment. Patent Document 1 discloses a light wave laser device that can measure wind direction and speed and wind conditions with high accuracy for multiple observation spaces at different distances. Patent Document 2 discloses a wind condition prediction system that can improve the accuracy of weather prediction. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2005-351853 A [Patent Document 2] JP 2023-007932 A Summary of the Invention [Problem to be solved by the invention]

[0004] Since the installation cost of wind condition observation equipment is high and the installation work takes time, there is a need to reduce the number of wind condition observation equipment installed. For this reason, it is desirable to install wind condition observation equipment by prioritizing candidate sites where wind conditions are difficult to predict among multiple candidate sites for wind power generation facilities. However, Patent Documents 1 and 2 do not mention a method for selecting the installation site of the wind condition observation equipment. The present invention has been made in view of the above background, and has an object to provide a wind condition observation equipment installation support device and a wind condition observation equipment installation support method that support the selection of installation sites for wind condition observation equipment. [Means for solving the problem]

[0005] In order to solve the above-mentioned problems, the wind condition observation equipment placement support device of the present invention comprises a terrain ruggedness coefficient calculation unit that calculates a terrain ruggedness coefficient that indicates the ruggedness of the terrain at a candidate site for a wind power generation facility, and a prediction difficulty calculation unit that calculates a prediction difficulty that indicates the difficulty of predicting the wind conditions at the candidate site based on the terrain ruggedness coefficient, and the terrain ruggedness coefficient is calculated based on the elevation difference and planar distance between the candidate site and a high-elevation point that is within a predetermined distance from the candidate site and has a higher elevation than the candidate site, and the terrain ruggedness coefficient is larger the greater the elevation difference and smaller the planar distance. Effect of the Invention

[0006] According to the present invention, it is possible to provide a wind condition observation equipment installation support device and a wind condition observation equipment installation support method for supporting the selection of an installation site for a wind condition observation equipment. Problems, configurations, and effects other than those described above will become apparent from the description of the following embodiments. [Brief description of the drawings]

[0007] [Figure 1] 1 is a functional block diagram of a wind condition observation equipment arrangement support device according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a data configuration diagram of a candidate destination database according to the embodiment. [Diagram 3] FIG. 4 is a diagram for explaining a topographical undulation coefficient according to the embodiment. [Figure 4] FIG. 13 is a diagram for explaining a predicted difficulty level according to the embodiment. [Diagram 5] FIG. 13 is a diagram for explaining a predicted difficulty level according to the embodiment. [Figure 6] 11 is a flowchart of a wind condition observation device arrangement support process according to the present embodiment. [Figure 7] FIG. 13 is a diagram showing a wind condition observation equipment arrangement screen according to the embodiment. [Figure 8] FIG. 13 is a diagram showing a wind condition observation equipment arrangement screen on which the terrain undulation coefficient according to the present embodiment is displayed. [Figure 9] 13 is a graph showing the relationship between the terrain undulation coefficient and prediction accuracy according to a modified example of the embodiment. [Figure 10] 13 is a diagram for explaining allowable values ​​by direction according to a modified example of the present embodiment. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] A wind condition observation equipment placement support device will be described below as a form (embodiment) for carrying out the present invention. The wind condition observation equipment placement support device calculates a prediction difficulty level, which is the difficulty level of predicting wind conditions according to the surrounding topography, among candidate sites for installing wind power generation equipment. The wind condition observation equipment placement support device then determines the candidate site with the highest prediction difficulty level as the site for placing the wind condition observation equipment.

[0009] The wind condition observation equipment placement support device calculates the prediction difficulty based on the terrain ruggedness coefficient at the candidate point. The terrain ruggedness coefficient is an index calculated, for example, as HD / D, where HD is the elevation difference between the candidate point and a high-altitude point that is within a specified distance from the candidate point and has a higher elevation than the candidate point, and D is the planar distance. The planar distance is the distance between the high-altitude point and the candidate point on a planar map.

[0010] When it is difficult to install wind observation equipment at all candidate locations, a user of such a wind observation equipment placement support device can determine installation locations for the wind observation equipment by prioritizing candidate locations where wind conditions are difficult to predict.

[0011] <Configuration of the wind observation equipment placement support device> 1 is a functional block diagram of a wind condition observation equipment placement support device 100 according to this embodiment. The wind condition observation equipment placement support device 100 is a computer, and includes a control unit 110, a storage unit 120, and an input / output unit 180. User interface devices such as a display, keyboard, and mouse are connected to the input / output unit 180. The input / output unit 180 may include a communication device, and may be capable of transmitting and receiving data to and from other devices. A media drive may also be connected to the input / output unit 180, and data may be exchanged using a recording medium.

[0012] <Wind condition observation equipment placement support device: memory section> The storage unit 120 includes storage devices such as a read only memory (ROM), a random access memory (RAM), a solid state drive (SSD), etc. The storage unit 120 stores a topographical map 121, a candidate site database 130, and a program 128. The program 128 includes a description of a wind condition observation device placement support process (see FIG. 6) described later. The topographical map 121 is a topographical map of the wind power plant where the wind power generation facility is installed and its surroundings, and includes the elevation of each point.

[0013] 2 is a data configuration diagram of the candidate site database 130 according to this embodiment. The candidate site database 130 is, for example, data in a table format. One row (record) of the candidate site database 130 includes columns (attributes) of identification information (name), location (latitude and longitude), terrain undulation coefficient by direction, and prediction difficulty as information related to the candidate site of the wind power generation facility. The terrain undulation coefficient and prediction difficulty will be described later. In this embodiment, there are eight directions: north, northeast, east, southeast, south, southwest, west, and northwest, but there may be four directions (north, south, east, west), 16 directions, or even more directions.

[0014] <Wind condition observation equipment placement support device: control unit> Returning to FIG. 1, the control unit 110 will be described. The control unit 110 is configured to include a CPU (Central Processing Unit), and is provided with a terrain undulation coefficient calculation unit 111, a prediction difficulty calculation unit 112, and a placement unit 113.

[0015] <Control section: Terrain relief coefficient calculation section> The terrain undulation coefficient calculation unit 111 calculates the terrain undulation coefficient for each direction at the candidate site for the wind power generation facility. Fig. 3 is a diagram for explaining the terrain undulation coefficient according to this embodiment. The thick curved line indicates the cross section of the earth's surface in the north-south direction at the candidate site X, with the left side being north and the right side being south.

[0016] The point with the highest elevation in the north direction within a specified distance from candidate point X is defined as point Y. If the horizontal distance (planar distance) between candidate point X and point Y is D and the elevation difference is HD, the topographic ruggedness coefficient to the north of candidate point X is calculated using formula (1).

[0017] Terrain ruggedness factor = HD / D (1)

[0018] If point Y is lower than candidate point X, the topographical ruggedness coefficient is set to 0. Topographical ruggedness coefficient calculation section 111 calculates the topographical ruggedness coefficient for each direction of each candidate point by referring to topographical map 121, and stores the calculated topographical ruggedness coefficient for each direction in candidate point database 130.

[0019] In a direction where the terrain ruggedness coefficient is large, there is a point with a high elevation in that direction of the candidate point. The larger the terrain ruggedness coefficient, the closer the point with a high elevation is, or the greater the difference in elevation is. This causes greater turbulence in the air currents, making it difficult to predict wind conditions. Hereinafter, the point with the highest elevation within a specified distance from the candidate point will be referred to as a high elevation point.

[0020] <Control unit: Prediction difficulty calculation unit> The prediction difficulty calculation unit 112 calculates the prediction difficulty, which is the difficulty of predicting wind conditions at a candidate point, based on the terrain ruggedness coefficient. Figures 4 and 5 are diagrams for explaining the prediction difficulty according to this embodiment. In Figure 4, eight thick lines extending from the center of the circle indicate the terrain ruggedness coefficient in each direction, and the longer the line, the greater the terrain ruggedness coefficient. The top of Figure 4 is north and the right side is east. In Figure 4, the terrain ruggedness coefficient from south to northwest is relatively large.

[0021] The circles indicate a predetermined tolerance value related to the terrain ruggedness coefficient. When the terrain ruggedness coefficient exceeds the tolerance value, it is determined that the prediction of the wind speed (wind speed distribution) from the direction corresponding to the terrain ruggedness coefficient is difficult (the prediction accuracy is low). The prediction difficulty calculation unit 112 determines the prediction difficulty to be high if any of the eight terrain ruggedness coefficients exceeds this tolerance value, and determines the prediction difficulty to be low if none of the eight terrain ruggedness coefficients exceeds this tolerance value. In FIG. 4, the terrain ruggedness coefficients in all eight directions are smaller than the tolerance value, and the prediction difficulty is low. In FIG. 5, the terrain ruggedness coefficients in the southwest and west exceed the tolerance value, and the prediction difficulty is high. The prediction difficulty calculation unit 112 determines the prediction difficulty level ("high" or "low") based on the terrain ruggedness coefficient, and stores the result in the prediction difficulty level in the candidate site database 130.

[0022] <Control unit: Placement unit> The arrangement unit 113 determines the priority of installing the wind condition observation equipment based on the prediction difficulty level, and displays the wind condition observation equipment arrangement screen 510 (see FIG. 7 described later). To explain in more detail, the arrangement unit 113 determines that the priority of a candidate location with a high prediction difficulty level is high (high), and the priority of a candidate location with a low prediction difficulty level is low (low).

[0023] As described above, the wind condition observation instrument arrangement support device 100 includes a terrain undulation coefficient calculation unit 111 that calculates a terrain undulation coefficient that indicates the undulation of the terrain at the candidate site of the wind power generation facility. The wind condition observation equipment arrangement support device 100 also includes a prediction difficulty calculation unit 112 that calculates a prediction difficulty indicating the difficulty of predicting wind conditions at a candidate point based on the terrain undulation coefficient. For example, the prediction difficulty calculation unit 112 calculates the prediction difficulty as "high" or "low" as described above, or calculates a numerical value (the number of terrain undulation coefficients exceeding a predetermined allowable value) as described later. Furthermore, the wind condition observation equipment placement support device 100 includes a placement unit 113 that determines that a candidate site with a high (high) degree of prediction difficulty among a plurality of candidate sites has a high priority for placement of the wind condition observation equipment.

[0024] The topographical undulation coefficient calculation unit 111 calculates the topographical undulation coefficients for high altitude points in a plurality of predetermined directions from the candidate points. The prediction difficulty level calculation unit 112 calculates the prediction difficulty level (determines whether it is "high" or "low") based on the presence or absence of a topographical undulation coefficient that exceeds a predetermined allowable value among a plurality of topographical undulation coefficients at the candidate points.

[0025] <Wind observation equipment placement support processing> 6 is a flowchart of the process of supporting the placement of wind condition observation instruments according to the present embodiment. The process of outputting the priority of installing wind condition observation instruments at the input candidate sites of the wind power generation facility will be described with reference to FIG.

[0026] In step S11, the terrain undulation coefficient calculation unit 111 starts the process of repeating steps S12 to S14 for each candidate point of the wind power generation facility. Hereinafter, the candidate point that is the subject of this repeated process is referred to as the processing subject candidate point. In step S12, the terrain undulation coefficient calculation unit 111 starts the process of repeating step S13 for each direction. Hereinafter, the direction that is the subject of this repeated process is referred to as the processing subject direction. In step S13, the topographical undulation coefficient calculation section 111 calculates the topographical undulation coefficient (see FIG. 3) in the processing target direction at the processing target candidate point, and stores it in the candidate point database 130 (see FIG. 2).

[0027] In step S14, the prediction difficulty calculation unit 112 calculates the prediction difficulty at the processing target candidate point based on the topographical undulation coefficient of each direction at the processing target candidate point. To explain in detail, if the topographical undulation coefficient of the processing target candidate point exceeds a predetermined tolerance, the prediction difficulty calculation unit 112 determines the prediction difficulty to be "high," and if the topographical undulation coefficient does not exceed the tolerance, the prediction difficulty is "low," and stores the result in the candidate point database 130.

[0028] In step S15, the arrangement unit 113 determines the priority of installing the wind condition observation equipment based on the prediction difficulty level, and displays a wind condition observation equipment arrangement screen 510 (see FIG. 7 described later) on a display connected to the input / output unit 180. FIG. 7 is a diagram showing the wind condition observation equipment arrangement screen 510 according to this embodiment. The wind condition observation equipment arrangement screen 510 displays candidate points and the priorities of the candidate points on a topographical map showing contour lines. The contour lines can be obtained by referring to the topographical map 121 (see FIG. 1). Furthermore, the topographical undulation coefficient of the candidate points may be displayed.

[0029] 8 is a diagram showing a wind condition observation equipment arrangement screen 510 on which the terrain ruggedness coefficient according to this embodiment is displayed. When a pointer 511 is placed on a candidate point, the eight terrain ruggedness coefficients of that candidate point are displayed in a pop-up window 512. By referring to the pop-up window 512, if there are multiple candidate points with high priority, the user can check the terrain ruggedness coefficient of each candidate point and use it as information for deciding the priority order.

[0030] <Features of the Wind Condition Observation Equipment Placement Support Device> The wind condition observation equipment placement support device 100 calculates the terrain ruggedness coefficient and prediction difficulty ("high" or "low") at the candidate sites for wind power generation facilities, and displays the priority of wind condition observation equipment placement (see FIG. 7). The terrain ruggedness coefficient is a value that increases the greater the elevation difference and the closer the distance is to the candidate site, as there is a site with a higher elevation than the candidate site. When the terrain ruggedness coefficient exceeds an allowable value, the wind condition observation equipment placement support device 100 determines that the difficulty of predicting wind conditions is high and the priority of wind condition observation equipment placement is high. By using the wind condition observation equipment placement support device 100, users can easily decide which candidate sites should be prioritized for placement when it is not possible to place wind condition observation equipment at all candidate sites.

[0031] <<Variation 1: Terrain relief coefficient>> In the above embodiment, the topographical undulation coefficient is calculated using the formula (1). The topographical undulation coefficient may be calculated using the following formula (2) instead of the formula (1).

[0032] Terrain ruggedness factor = HD / D 2 (2)

[0033] The terrain ruggedness coefficient may also be calculated using an equation whose value increases as HD increases and D decreases.

[0034] As explained in the above variant example 1, the terrain ruggedness coefficient is calculated based on the elevation difference and planar distance between a high-elevation point, which is a point that is within a specified distance from a candidate point and has a higher elevation than the candidate point, and the terrain ruggedness coefficient is larger the greater the elevation difference and smaller the greater the planar distance.

[0035] <<Variation 2: Difficulty of predicting the number of directions for terrain undulation coefficients that exceed the allowable value>> In the above embodiment, if there is a terrain undulation coefficient exceeding a tolerance value among the terrain undulation coefficients by direction at the candidate point, the prediction difficulty calculation unit 112 determines the prediction difficulty to be "high". Alternatively, the prediction difficulty calculation unit 112 may determine the number of terrain undulation coefficients exceeding a tolerance value as the prediction difficulty (calculate the prediction difficulty based on the number of terrain undulation coefficients exceeding a predetermined tolerance value). Furthermore, the arrangement unit 113 may determine the numerical value of the prediction difficulty as the priority and display it on the wind condition observation device arrangement screen 510 (see FIG. 7). In this case, the prediction difficulty and the priority are numerical values ​​from 0 to 8 (i.e., the number of terrain undulation coefficients exceeding a predetermined tolerance value). For example, the prediction difficulty and the priority of the candidate point shown in FIG. 5 are 2. By comparing the priority values, the user can determine which candidate location has higher priority.

[0036] As described above in the second modification, the prediction difficulty level calculation unit 112 calculates the prediction difficulty level based on the number of topographical undulation coefficients that exceed a predetermined allowable value among a plurality of topographical undulation coefficients at the candidate points.

[0037] <<Variation 3: Weighted average prediction difficulty>> The prediction difficulty calculation unit 112 may calculate a weighted average weighted by the wind direction occurrence frequency or average wind speed by wind direction of the terrain undulation coefficient as the prediction difficulty. The wind direction occurrence frequency and the average wind speed by wind direction are, for example, data measured by an existing meteorological observation device near the candidate site, a local wind condition map by the National Research and Development Agency New Energy and Industrial Technology Development Organization, or wind condition data of the candidate site or wind power plant predicted by an existing prediction method. In this way, the wind condition observation equipment arrangement support device 100 can calculate the prediction difficulty taking into account the wind conditions (wind direction and wind speed distribution) of the candidate site.

[0038] As described in the above third modification, the prediction difficulty calculation unit 112 calculates the prediction difficulty as a weighted average of multiple terrain undulation coefficients at a candidate point weighted by the wind direction occurrence frequency or the average wind speed by wind direction at the candidate point.

[0039] <Modification 4: Tolerance according to prediction accuracy> In the above embodiment, the permissible value is a preset value. However, the permissible value may be changed in accordance with the prediction accuracy of the method for predicting the wind speed or the amount of generated power. FIG. 9 is a graph showing the relationship between the terrain undulation coefficient and the prediction accuracy according to the fourth modified example of this embodiment. The plotted black dots indicate the terrain undulation coefficient at the installation site of the existing wind power generation facility and the prediction accuracy (error between prediction and actual measurement) in the method of predicting the existing wind speed or power generation amount. The graph shows the relationship between the terrain undulation coefficient and the prediction accuracy calculated based on the plotted points. The wind condition observation equipment placement support device 100 may set the terrain undulation coefficient corresponding to the required accuracy specified by the user as the allowable value. The wind condition observation equipment placement support device 100 may set the allowable value based on the allowable error instead of the required accuracy. By setting the allowable value in this way, the wind condition observation equipment placement support device 100 can set the allowable value based on the actual prediction results.

[0040] Here, we will supplement the topographical ruggedness coefficient in Modification 4. The topographical ruggedness coefficient is the topographical ruggedness coefficient at the installation site of the wind power generation facility, and includes, for example, eight topographical ruggedness coefficients by direction. The topographical ruggedness coefficient shown in the graph in Fig. 9 is the topographical ruggedness coefficient of the main wind direction, and is the topographical ruggedness coefficient of the direction with the highest occurrence frequency, or the direction with the highest average wind speed by wind direction. The topographical ruggedness coefficient of the main wind direction may be a weighted average of the topographical ruggedness coefficients based on the frequency of occurrence of the wind direction, or a weighted average of the topographical ruggedness coefficients based on the average wind speed by wind direction, or it may be the average or maximum value of the topographical ruggedness coefficient.

[0041] As explained in the fourth modification above, the predetermined tolerance is the value of the topographical ruggedness coefficient that corresponds to the required accuracy in the graph (see FIG. 9) showing the relationship between the topographical ruggedness coefficient and the prediction accuracy at the candidate points of the topographical ruggedness coefficient.

[0042] <<Variation 5: Tolerance by direction>> In the above embodiment, the allowable value of the terrain undulation coefficient is a constant value regardless of the direction. The allowable value may be different for each direction depending on the distribution of wind directions and the wind speed for each wind direction. Fig. 10 is a diagram for explaining the permissible values ​​by direction according to the fifth modified example of this embodiment. Compared to Fig. 4, the permissible value is smaller in the west and larger in the east. At a candidate point where the frequency of occurrence of westerly winds is high and the frequency of occurrence of easterly winds is low, the amount of power generated by westerly winds is large, so the impact on the prediction of the overall amount of power generated is large. Therefore, in order to predict the wind speed of westerly winds with high accuracy, it is desirable to have a low terrain undulation coefficient, and the wind condition observation equipment arrangement support device 100 reduces the tolerance of the terrain undulation coefficient in the west.

[0043] Although there is not much difference in frequency of occurrence, the distribution of wind speeds differs depending on the wind direction, and when the wind speed in the west is high and the wind speed in the east is low, the amount of power generated by the western wind is large. In such cases, the wind condition observation equipment placement support device 100 also lowers the tolerance for the terrain undulation coefficient in the west. By setting the tolerance in this way, the wind condition observation equipment placement support device 100 can obtain prediction accuracy that matches the wind conditions (wind direction and wind speed distribution) at the candidate point.

[0044] As explained in the fifth modification above, the predetermined tolerance value differs depending on the direction, and the greater the occurrence frequency or average wind speed of a wind direction, the smaller the tolerance value for that direction.

[0045] Other variations Although several embodiments of the present invention have been described above, these embodiments are merely illustrative and do not limit the technical scope of the present invention. For example, the wind condition observation equipment placement support device 100 includes a placement unit 113 and displays a wind condition observation equipment placement screen 510 (see FIG. 7) including priorities. The wind condition observation equipment placement support device 100 may not include the placement unit 113 and may display prediction difficulty levels instead of priorities on the wind condition observation equipment placement screen 510.

[0046] The present invention can take various other embodiments, and furthermore, various modifications such as omissions and substitutions can be made without departing from the gist of the present invention. These embodiments and modifications are included in the scope and gist of the invention described in this specification, etc., and are included in the scope of the invention described in the claims and their equivalents. [Explanation of symbols]

[0047] 100 Wind observation equipment placement support device 111 Terrain relief coefficient calculation section 112 Prediction difficulty calculation unit 113 Placement section 121 Topographical Map 128 Programs 130 Candidate Site Database 510 Wind observation equipment layout screen

Claims

1. a topographical undulation coefficient calculation unit that calculates a topographical undulation coefficient indicating the topographical undulations at a candidate site for a wind power generation facility; a prediction difficulty calculation unit that calculates a prediction difficulty level indicating a difficulty level of predicting the wind condition at the candidate point based on the terrain undulation coefficient, The terrain undulation coefficient is The candidate point is calculated based on an elevation difference and a planar distance between the candidate point and a high elevation point that is within a predetermined distance from the candidate point and has an elevation higher than the candidate point, The greater the difference in elevation, the greater the The larger the plane distance, the smaller Wind observation equipment placement support device.

2. The wind observation device further includes a placement unit that determines that a candidate location having a high prediction difficulty among the plurality of candidate locations has a high priority for placement of the wind observation device. The wind condition observation equipment arrangement support device according to claim 1.

3. The topographical undulation coefficient calculation unit calculating the topographical undulation coefficient for the high elevation points located in a plurality of predetermined directions from the candidate points; The prediction difficulty calculation unit, The prediction difficulty is calculated as a weighted average of a plurality of terrain undulation coefficients at the candidate point weighted by the frequency of occurrence of wind direction or the average wind speed by wind direction at the candidate point. The wind condition observation equipment arrangement support device according to claim 1.

4. The topographical undulation coefficient calculation unit calculating the topographical undulation coefficient for the high elevation points located in a plurality of predetermined directions from the candidate points; The prediction difficulty calculation unit, The prediction difficulty is calculated based on the presence or absence of a terrain undulation coefficient exceeding a predetermined allowable value among a plurality of terrain undulation coefficients at the candidate points. The wind condition observation equipment arrangement support device according to claim 1.

5. The topographical undulation coefficient calculation unit calculating the topographical undulation coefficient for the high elevation points located in a plurality of predetermined directions from the candidate points; The prediction difficulty calculation unit, The prediction difficulty is calculated based on the number of terrain undulation coefficients exceeding a predetermined allowable value among the plurality of terrain undulation coefficients at the candidate points. The wind condition observation equipment arrangement support device according to claim 1.

6. The predetermined tolerance is It depends on the angle. The greater the frequency of occurrence or the average wind speed of a wind direction, the smaller the tolerance for that direction.

6. A wind condition observation equipment arrangement support device according to claim 4 or 5.

7. The predetermined tolerance is A value of the topographical ruggedness coefficient corresponding to a required accuracy in a graph showing a relationship between the topographical ruggedness coefficient and a prediction accuracy at a candidate point of the topographical ruggedness coefficient.

6. A wind condition observation equipment arrangement support device according to claim 4 or 5.

8. Wind observation equipment placement support device, A step of calculating a topographical undulation coefficient indicating the topographical undulation of a candidate site for a wind power generation facility; calculating a prediction difficulty level indicating a difficulty level of predicting wind conditions at the candidate point based on the terrain undulation coefficient; The terrain undulation coefficient is The candidate point is calculated based on an elevation difference and a planar distance between the candidate point and a high elevation point that is within a predetermined distance from the candidate point and has an elevation higher than the candidate point, The greater the difference in elevation, the greater the The larger the plane distance, the smaller A method to assist in the placement of wind observation equipment.

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