Wind speed simulation method, system and equipment of heat exchanger, medium and program product

By fitting the wind speed data of the heat exchanger and establishing the wind speed simulation function, the problem of deviation of the simulation results of the heat exchanger in the prior art is solved, and the simulation accuracy and support of the cooling system design are improved.

CN119885952APending Publication Date: 2025-04-25SHANGHAI ELECTRIC WIND POWER GRP CO LTD
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Patent Information

Application Number
CN202411964690.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

In the prior art, there are large deviations in the simulation results of the heat exchanger, resulting in insufficient cooling margin under actual operating conditions, especially in high wind speeds and high ambient temperatures, the cooling capacity of the heat exchanger is insufficient and a high temperature alarm occurs.

Method used

By obtaining the first wind speed data and the second wind speed data of the heat exchanger when the fan is running, the data fit is performed to obtain the wind speed simulation function to characterize the air flow distribution. Based on this function and target wind speed data, the target air flow rate of the heat exchanger at the target wind speed is obtained.

Benefits of technology

It improves the accuracy of the heat exchanger simulation results, can predict the performance of the heat exchanger during the design stage, reduce R&D costs, and evaluate the actual heat exchange ability of the heat exchanger, and enhances the data support for cooling system design.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a wind speed simulation method, system and device for a heat exchanger, a medium and a program product, and the method comprises the steps: obtaining first wind speed data and second wind speed data of the heat exchanger during the operation of a fan, the first wind speed data being wind speed data at an anemograph of the heat exchanger, and the second wind speed data being wind speed data at an anemograph of the heat exchanger; the second wind speed data are wind speed data of at least two different positions on the surface of the heat exchanger; performing data fitting on the first wind speed data and the second wind speed data to obtain a wind speed simulation function of the heat exchanger; the wind speed simulation function represents the air flow distribution of the heat exchanger under any first wind speed data; based on the wind speed simulation function and the target wind speed data, the target air flow of the heat exchanger under the target wind speed data is obtained; wherein the target wind speed data are data actually measured at the anemograph. Through the wind speed simulation method provided by the invention, the performance of the heat exchanger is predicted in the design stage, and the research and development cost is reduced.
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Description

Technical Field

[0001] The present disclosure relates to the field of data simulation, and in particular to a method, system, device, medium and program product for simulating wind speed of a heat exchanger. Background Art

[0002] The cooling system of large wind turbine components widely uses the passive heat exchanger on the top of the nacelle as the main heat exchange element. However, the heat exchanger is affected by multiple factors such as the hub elevation angle, the wind rotor, and the installation position. In addition, the air flow velocity distribution on the top of the nacelle is very complex, which leads to large deviations in the simulation results of the heat exchanger.

[0003] Currently, heat exchanger suppliers mainly rely on empirical formulas and wind tunnel test data when designing and testing, which results in a large difference between the input conditions and test conditions and the actual working conditions. This leads to insufficient cooling margin under actual working conditions. Once the wind farm has high wind speeds and high ambient temperatures, the cooling capacity of the heat exchanger is insufficient, resulting in a high temperature alarm. Summary of the invention

[0004] The technical problem to be solved by the present disclosure is to overcome the defect of large deviation in the simulation results of the heat exchanger in the prior art, and to provide a wind speed simulation method, system, equipment, medium and program product for the heat exchanger.

[0005] The present invention solves the above technical problems through the following technical solutions:

[0006] According to a first aspect of the present disclosure, a method for simulating wind speed of a heat exchanger is provided, the method comprising:

[0007] Acquire first wind speed data and second wind speed data of the heat exchanger when the fan is running, wherein the first wind speed data is wind speed data at an anemometer of the heat exchanger, and the second wind speed data is wind speed data at at least two different positions on the surface of the heat exchanger;

[0008] Performing data fitting on the first wind speed data and the second wind speed data to obtain a wind speed simulation function of the heat exchanger; the wind speed simulation function represents the air flow distribution of the heat exchanger under any first wind speed data;

[0009] Based on the wind speed simulation function and the target wind speed data, the target air flow of the heat exchanger under the target wind speed data is obtained; wherein the target wind speed data is the data actually measured at the anemometer.

[0010] Preferably, the step of obtaining the first wind speed data and the second wind speed data of the heat exchanger when the fan is running includes:

[0011] Acquire first wind speed data and second wind speed data of the heat exchanger when the fan is running based on the wind speed sensor;

[0012] Wherein, the wind speed sensor is arranged at the anemometer of the heat exchanger in the fan, and is arranged on the surface of the heat exchanger.

[0013] Preferably, the wind speed sensor disposed on the surface of the heat exchanger includes:

[0014] A plurality of wind speed sensors are evenly arranged on the air outlet side of the heat exchanger, and a plurality of wind speed sensors are evenly arranged on the air inlet side of the heat exchanger.

[0015] Preferably, the wind speed sensor disposed on the surface of the heat exchanger includes:

[0016] A wind speed sensor is arranged at the anemometer of the heat exchanger;

[0017] 9 wind speed sensors are evenly arranged at the air outlet side of the heat exchanger;

[0018] One wind speed sensor is disposed on each of the air inlet sides of the heat exchanger, wherein the wind speed sensors disposed on both sides of the heat exchanger are located at a preset distance from the air inlet side.

[0019] Preferably, before the step of obtaining the first wind speed data and the second wind speed data of the heat exchanger when the fan is running, the wind speed simulation method further includes:

[0020] Obtaining the power generation of the wind turbine;

[0021] In response to the preset time period of the power generation being at the full power value, the step of acquiring the first wind speed data and the second wind speed data of the heat exchanger is executed.

[0022] Preferably, the step of responding to the power generation being at the full power value for a preset time period comprises:

[0023] Acquiring a number of operating power data of the wind turbine based on a preset sampling step length in a preset time period;

[0024] Based on the plurality of operating power data, obtaining difference data of a plurality of adjacent sampling time points;

[0025] Counting a first quantity of the difference data that is less than a preset threshold;

[0026] In response to the first number being within a preset range, it is determined that the fan is in a stable full-power state.

[0027] Preferably, the step of performing data fitting on the first wind speed data and the second wind speed data at different positions to obtain a wind speed simulation function of the heat exchanger comprises:

[0028] Performing a first-order fitting on the first wind speed data and the second wind speed data at different positions to obtain a plurality of fitting graphs; the fitting graphs represent the distribution of the second wind speed data under the first wind speed data;

[0029] A plurality of the fitting graphs are subjected to secondary fitting to obtain the wind speed simulation function.

[0030] Preferably, after the step of obtaining the target air flow of the heat exchanger under the target wind speed data, the wind speed simulation method further comprises:

[0031] Obtaining temperature difference information of the heat exchanger within a preset time period;

[0032] Based on the temperature difference information and the target air flow rate, the heat exchange capacity of the heat exchanger under the target wind speed data is obtained.

[0033] Preferably, the step of obtaining the temperature difference information of the heat exchanger within a preset time period includes:

[0034] The temperature difference information of the heat exchanger within the preset time period is obtained based on a temperature sensor.

[0035] According to a second aspect of the present disclosure, a wind speed simulation system for a heat exchanger is provided, the wind speed simulation system comprising:

[0036] A data acquisition module, used to acquire first wind speed data and second wind speed data of the heat exchanger when the fan is running, wherein the first wind speed data is wind speed data at an anemometer of the heat exchanger, and the second wind speed data is wind speed data at at least two different positions on the surface of the heat exchanger;

[0037] A data processing module, used for performing data fitting on the first wind speed data and the second wind speed data to obtain a wind speed simulation function of the heat exchanger; the wind speed simulation function represents the air flow distribution of the heat exchanger under any first wind speed data;

[0038] The target air flow acquisition module is used to acquire the target air flow of the heat exchanger under the target wind speed data based on the wind speed simulation function and the target wind speed data; wherein the target wind speed data is the data actually measured at the anemometer.

[0039] Preferably, the data acquisition module acquires the first wind speed data and the second wind speed data of the heat exchanger when the fan is running based on the wind speed sensor;

[0040] Wherein, the wind speed sensor is arranged at the anemometer of the heat exchanger in the fan, and is arranged on the surface of the heat exchanger.

[0041] Preferably, the wind speed sensor disposed on the surface of the heat exchanger includes:

[0042] A plurality of wind speed sensors are evenly arranged on the air outlet side of the heat exchanger, and a plurality of wind speed sensors are evenly arranged on the air inlet side of the heat exchanger.

[0043] Preferably, the wind speed sensor disposed on the surface of the heat exchanger includes:

[0044] A wind speed sensor is arranged at the anemometer of the heat exchanger;

[0045] 9 wind speed sensors are evenly arranged at the air outlet side of the heat exchanger;

[0046] One wind speed sensor is disposed on each of the air inlet sides of the heat exchanger, wherein the wind speed sensors disposed on both sides of the heat exchanger are located at a preset distance from the air inlet side.

[0047] Preferably, the wind speed simulation system further comprises a fan full power determination module, the fan full power determination module being used to obtain the power generation power of the fan before obtaining the first wind speed data and the second wind speed data of the heat exchanger when the fan is running;

[0048] In response to the preset time period of the power generation being at the full power value, the step of acquiring the first wind speed data and the second wind speed data of the heat exchanger is executed.

[0049] Preferably, the fan full power determination module is further used for:

[0050] Acquiring a number of operating power data of the wind turbine based on a preset sampling step length in a preset time period;

[0051] Based on the plurality of operating power data, obtaining difference data of a plurality of adjacent sampling time points;

[0052] Counting a first quantity of the difference data that is less than a preset threshold;

[0053] In response to the first number being within a preset range, it is determined that the fan is in a stable full-power state.

[0054] Preferably, the data processing module is used to perform a first-order fitting on the first wind speed data and the second wind speed data at different positions to obtain a plurality of fitting graphs; the fitting graphs represent the distribution of the second wind speed data under the first wind speed data;

[0055] A plurality of the fitting graphs are subjected to secondary fitting to obtain the wind speed simulation function.

[0056] Preferably, the wind speed simulation system further comprises: a heat exchange amount calculation unit, the heat exchange amount calculation unit being used to obtain temperature difference information of the heat exchanger within a preset time period after obtaining the target air flow of the heat exchanger under the target wind speed data;

[0057] Based on the temperature difference information and the target air flow rate, the heat exchange capacity of the heat exchanger under the target wind speed data is obtained.

[0058] Preferably, the step of obtaining the temperature difference information of the heat exchanger within a preset time period includes:

[0059] The temperature difference information of the heat exchanger within the preset time period is obtained based on a temperature sensor.

[0060] According to a third aspect of the present disclosure, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, wherein when the processor executes the computer program, the wind speed simulation method of the heat exchanger described in the first aspect of the present disclosure is implemented.

[0061] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the wind speed simulation method of the heat exchanger described in the first aspect of the present disclosure is implemented.

[0062] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method for simulating wind speed of a heat exchanger according to the first aspect of the present disclosure is implemented.

[0063] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.

[0064] The positive and progressive effects of this disclosure are:

[0065] In the wind speed simulation method of the heat exchanger provided in the present disclosure, data fitting is performed between the data of the heat exchanger near the fan and the surface data to obtain the corresponding operation simulation function of the heat exchanger. The performance of the heat exchanger can be predicted in the design stage through the simulation operation function, thereby reducing the R&D cost. The wind speed field distribution before and after the passive heat exchanger in the wind turbine cooling system is measured under different wind speeds, and the actual heat exchange capacity of the heat exchanger is evaluated based on the verified simulation results, thereby improving the accuracy of the simulation results of the heat exchanger and providing data support for the cooling system design. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1A schematic flow chart of a wind speed simulation method for a heat exchanger provided in Example 1 of the present disclosure;

[0067] Figure 2 This is a schematic diagram of a process for obtaining heat exchange in Example 1 of the present disclosure;

[0068] Figure 3 A schematic diagram of a flow chart showing whether the wind turbine power generation power is at full power value in Embodiment 1 of the present disclosure;

[0069] Figure 4 This is a schematic diagram of the data fitting process in Example 1 of the present disclosure;

[0070] Figure 5 A schematic diagram of the fitting result after fitting the test point No. 4 and the test point No. 10 provided in Example 1 of the present disclosure;

[0071] Figure 6 A schematic diagram of the structure of a wind speed simulation system for a heat exchanger provided in Example 2 of the present disclosure;

[0072] Figure 7 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present disclosure. DETAILED DESCRIPTION

[0073] The present disclosure is further described below by way of examples, but the present disclosure is not limited to the scope of the examples.

[0074] Prefixes such as "first" and "second" are used in the embodiments of the present disclosure only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. The use of prefixes such as ordinal numbers to distinguish description objects in the embodiments of the present disclosure does not constitute a limitation on the described objects. For the statement of the described objects, please refer to the description in the context of the embodiments, and no unnecessary limitation should be constituted due to the use of such prefixes. In addition, in the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

[0075] Example 1

[0076] In the cooling system of large wind turbines, due to the influence of the hub elevation angle and the rotation of the wind rotor, it is impossible to accurately simulate and calculate the wind velocity field distribution of the passive heat exchanger. The reasons for the difficulty in accurate calculation are as follows:

[0077] 1. When the wind turbine rotor rotates, the wake at the root of the blade is relatively complex and difficult to handle during CFD (Computational Fluid Dynamics) simulation;

[0078] 2. The mesh scale span is too large during CFD simulation. The hydraulic radius of the air channel of the heat exchanger is in the order of millimeters. Even if the mesh is encrypted at the heat exchanger, it is impossible to divide the mesh according to the actual situation of the heat exchanger.

[0079] 3. The main basis for the supplier's test of the heat exchanger is the wind tunnel test data. However, due to the limited cross-sectional size of the wind tunnel, the cross-sectional size of the heat exchanger sample and the wind tunnel is basically at the same order of magnitude, so the air flow of the heat exchanger sample is greatly restricted, resulting in a large difference between the test wind speed and the actual working conditions.

[0080] In view of this, a wind speed simulation method for a heat exchanger is provided in this embodiment to achieve accurate simulation of the wind speed around the passive heat exchanger. After integrating the wind speed information around the heat exchanger, the wind speed field distribution of the heat exchanger is obtained to provide data support for the design of the wind turbine cooling system.

[0081] like Figure 1 As shown, the wind speed simulation method includes:

[0082] S11: Acquire first wind speed data and second wind speed data of the heat exchanger when the fan is running.

[0083] The first wind speed data is wind speed data at an anemometer of the heat exchanger, and the second wind speed data is wind speed data at at least two different positions on the surface of the heat exchanger.

[0084] S12: Performing data fitting on the first wind speed data and the second wind speed data to obtain a wind speed simulation function of the heat exchanger.

[0085] The wind speed simulation function represents the air flow distribution of the heat exchanger under any first wind speed data.

[0086] S13: Based on the wind speed simulation function and the target wind speed data, the target air flow of the heat exchanger under the target wind speed data is obtained; wherein the target wind speed data is the data actually measured at the anemometer.

[0087] In this embodiment, the first wind speed data and the second wind speed data of the heat exchanger when the fan is running are obtained based on the wind speed sensor; wherein the wind speed sensor may be an impeller-type wind speed sensor.

[0088] Since the air flow in front of the air inlet side of the heat exchanger is relatively complex and is affected by the nacelle surface, the hub surface, and the rotation of the wind wheel, it is impossible to accurately calculate the wind speed based on the air flow on the air inlet side. Therefore, the wind speed sensor in the present invention is arranged at the anemometer of the heat exchanger in the fan, and is arranged on the surface of the heat exchanger.

[0089] In one embodiment, the wind speed sensor disposed on the surface of the heat exchanger includes:

[0090] A plurality of wind speed sensors are evenly arranged on the air outlet side of the heat exchanger, and a plurality of wind speed sensors are evenly arranged on the air inlet side of the heat exchanger.

[0091] In a preferred embodiment, the wind speed sensor disposed on the surface of the heat exchanger includes:

[0092] A wind speed sensor is installed at the anemometer of the heat exchanger;

[0093] 9 wind speed sensors are evenly arranged at the air outlet side of the heat exchanger;

[0094] A wind speed sensor is respectively arranged on the air inlet side of both sides of the heat exchanger, wherein the wind speed sensors arranged on both sides of the heat exchanger are located at a preset distance from the air inlet side.

[0095] like Figure 2 As shown, in this embodiment, after the step of obtaining the target air flow of the heat exchanger under the target wind speed data, the wind speed simulation method further includes:

[0096] S21: Obtaining temperature difference information of the heat exchanger within a preset time period.

[0097] S22: Based on the temperature difference information and the target air flow rate, the heat exchange capacity of the heat exchanger under the target wind speed data is obtained.

[0098] In a specific implementation, the temperature difference information of the heat exchanger within a preset time period is obtained based on a temperature sensor, wherein the temperature sensor may be a PT100 platinum resistor.

[0099] In the embodiment of the present disclosure, since the installation method of the passive heat exchanger has a significant impact on the flow rate, the wind speed behind the lower plate is higher than the wind speed behind the upper plate after the heat exchanger is raised; the actual measured trend of the wind speed distribution change in the vertical direction of the heat exchanger is inconsistent with the simulation results. Therefore, it is necessary to evenly arrange a number of wind speed sensors at the front air inlet of the heat exchanger.

[0100] Since the rotation of the wind turbine rotor has a significant impact on the flow of the heat exchanger, the wind speed on the converter side (the right side of the heat exchanger viewed from the wind rotor to the nacelle) is high, and the wind speed on the generator side (the left side of the heat exchanger viewed from the wind rotor to the nacelle) is low; the measured trend of the wind speed distribution change in the horizontal direction of the heat exchanger is consistent with the simulation results. Therefore, in this embodiment, a number of wind speed sensors are arranged at the side air inlet of the heat exchanger.

[0101] Furthermore, the wind speed sensor in this embodiment is an impeller-type wind speed sensor, and the temperature sensor is a PT100 platinum resistor, and its measurement data is recorded once per second. The recorded data is managed by a comprehensive test system.

[0102] Through the setting of impeller wind speed sensor and PT100 platinum resistance, accurate collection of heat exchanger wind speed data and temperature data is achieved.

[0103] like Figure 3 As shown, before the step of obtaining the first wind speed data and the second wind speed data of the heat exchanger when the fan is running, the wind speed simulation method also includes:

[0104] S31: Obtain the power generation of the wind turbine.

[0105] S32: In response to the power generation being at the full power value for a preset period of time, the step of acquiring the first wind speed data and the second wind speed data of the heat exchanger is executed.

[0106] Specifically, the step of responding to the power generation being at the full power value for a preset period of time includes:

[0107] A plurality of operating power data of the wind turbine is obtained based on a preset sampling step length in a preset time period.

[0108] Based on a number of operating power data, difference data of a number of adjacent sampling time points are obtained.

[0109] A first quantity of difference data smaller than a preset threshold is counted.

[0110] In response to the first number being within a preset range, it is determined that the fan is in a stable full-power state.

[0111] In a specific implementation, the power generation power of the wind turbine in this embodiment is collected and recorded by the corresponding power sensor, and the collection interval is once per second. The data of adjacent sampling time points are difference calculated within a preset time period to form corresponding difference data. When 90% of the difference data is less than a preset threshold, it indicates that the wind turbine is in a stable state during the preset time period.

[0112] By analyzing the data of the heat exchanger when the fan is in a stable state, the accuracy of the data simulation results is further improved, the performance of the heat exchanger can be predicted in the design stage, and the R&D cost can be reduced.

[0113] like Figure 4 As shown, in this embodiment, the step of performing data fitting on the first wind speed data and the second wind speed data at different positions to obtain the wind speed simulation function of the heat exchanger includes:

[0114] S41: performing a first-order fitting on the first wind speed data and the second wind speed data at different positions to obtain a plurality of fitting graphs; the fitting graphs represent the distribution of the second wind speed data under the first wind speed data.

[0115] S42: performing secondary fitting on a plurality of fitting graphs to obtain a wind speed simulation function.

[0116] In one implementation, the first wind speed data and the second wind speed data at different positions can be two-dimensionally fitted by MATLAB (Matrix Laboratory) to form a first fitting result; and several fitting graphs can be secondarily fitted by the polyfit function to obtain a wind speed simulation function.

[0117] The wind speed simulation function in this embodiment may also be modified according to actual conditions.

[0118] For example, the ambient temperature has a certain influence on the flow rate of the heat exchanger, so the wind speed simulation function also needs to correct the influence of temperature.

[0119] For example, the installation method of the heat exchanger has an impact on the flow rate. When the heat exchanger is raised, the wind speed behind the lower plate is higher than the wind speed behind the upper plate. Therefore, the measured change trend of the wind speed distribution in the vertical direction of the heat exchanger is inconsistent with the simulation result, resulting in a simulation result in which the lower wind speed is lower than the upper wind speed. Therefore, the wind speed simulation function also needs to correct the influence of the narrow tube effect caused by the lower gap after the heat exchanger is raised.

[0120] For example, the rotation of the wind rotor has a significant impact on the flow of the heat exchanger. For example, the wind speed on the converter side (the right side of the heat exchanger when viewed from the wind rotor to the nacelle) is high, and the wind speed on the generator side (the left side of the heat exchanger when viewed from the wind rotor to the nacelle) is low. The measured trend of the wind speed distribution change in the horizontal direction of the heat exchanger is consistent with the simulation results. Therefore, the wind speed simulation function also needs to correct the impact of the uneven distribution of wind speeds on the left and right sides.

[0121] In addition, if the measured results of wind speed at different test points are significantly different from the simulation results, the simulation results are higher than the measured results, and the measured results of the wind speed patching change trend are also significantly different from the simulation results, the wind speed simulation function also needs to be corrected.

[0122] By fitting the wind speed data at the anemometer of the heat exchanger with the wind speed data at at least two different positions on the surface of the heat exchanger, the corresponding operation simulation function of the heat exchanger is obtained, and the wind speed around the passive heat exchanger is accurately simulated. After integrating the wind speed information around the heat exchanger, the wind speed field distribution of the heat exchanger is obtained, which provides a basis for cost reduction and efficiency improvement in design.

[0123] The following is a detailed description of the implementation principle of the wind speed simulation method for the heat exchanger in this embodiment with reference to an example:

[0124] Wind speed test points are set on the surface and top air outlet of the heat exchanger, wherein 9 wind speed test points are set on the surface of the heat exchanger, and the 9 test points are evenly distributed on the surface of the heat exchanger in a 3×3 arrangement to form test points 1 to 9, and 1 wind speed test point is set at the top air outlet of the heat exchanger to form test point No. 10, and 1 wind speed test point is respectively set on the left and right sides of the heat exchanger and at a distance of about 1500mm from the surface of the exchanger, wherein the data corresponding to test point No. 10 is the first wind speed data, and the data corresponding to other test points are the second wind speed data.

[0125] Impeller-type wind speed sensors are used to collect data at a total of 12 wind speed test points, and a database (such as an integrated test system) is used to manage the collected data.

[0126] The setting positions and numbers of the test points in this embodiment are not limited to the setting positions and numbers of the test points described above, and those skilled in the art may set the test points at different positions and numbers according to actual needs.

[0127] After the comprehensive test system is synchronized with the fan main control system, data analysis is performed based on the unified time point. At this time, the operating power data of the fan in the fan main control system is used to determine whether the fan is in a stable full-power state. If so, data analysis is performed on the data collected at the corresponding test points.

[0128] According to the recorded data, the functional relationship between the wind speed at point 10 and the other 11 test points is fitted within a certain range, and then the distribution of the wind speed behind the heat exchanger plate under specific temperature conditions is obtained. According to the installation position of the test point, the wind speed distribution behind the plate under different wind speeds is fitted in two dimensions to obtain the corresponding wind speed distribution surface under specific temperature / wind speed. After integrating the surface, the air flow of the heat exchanger can be obtained. Combined with the air temperature difference, the actual heat exchange power of the heat exchanger air can be accurately calculated (the heat exchange power is expressed as: fluid heat exchange power = fluid volume flow rate * fluid density * fluid specific heat * fluid temperature difference). The accuracy of the simulation results can also be directly verified based on the corresponding surface.

[0129] Taking the wind speed data collected at point 10 and point 4 as an example, the wind speed data collected at point 10 and point 4 are fitted, and the fitted line graph is as follows: Figure 5 As shown, Figure 5 The horizontal axis represents the wind speed data corresponding to point No. 10, and the vertical axis represents the wind speed data corresponding to point No. 4. After two-dimensional fitting of the wind speed data corresponding to the two points, the corresponding running simulation function is formed, which is specifically represented as: wind speed data at point No. 4 = -1.072 + 0.5324 * wind speed data at point No. 10 - 0.01114 * the square of the wind speed data at point No. 10.

[0130] In the wind speed simulation method of the heat exchanger provided in the present disclosure, data fitting is performed between the data of the heat exchanger near the fan and the surface data to obtain the corresponding operation simulation function of the heat exchanger. The performance of the heat exchanger can be predicted in the design stage through the simulation operation function, thereby reducing the R&D cost. The wind speed field distribution before and after the passive heat exchanger in the wind turbine cooling system is measured under different wind speeds, and the actual heat exchange capacity of the heat exchanger is evaluated based on the verified simulation results, thereby providing data support for the cooling system design.

[0131] Example 2

[0132] Corresponding to the aforementioned embodiment of the wind speed simulation method for a heat exchanger, the present disclosure also provides an embodiment of a wind speed simulation system for a heat exchanger.

[0133] like Figure 6 As shown, this embodiment provides a wind speed simulation system for a heat exchanger, and the wind speed simulation system includes:

[0134] The data acquisition module 100 is used to acquire first wind speed data and second wind speed data of the heat exchanger when the fan is running, wherein the first wind speed data is wind speed data at an anemometer of the heat exchanger, and the second wind speed data is wind speed data at at least two different positions on the surface of the heat exchanger;

[0135] The data processing module 200 is used to perform data fitting on the first wind speed data and the second wind speed data to obtain a wind speed simulation function of the heat exchanger; the wind speed simulation function represents the air flow distribution of the heat exchanger under any first wind speed data;

[0136] The target air flow acquisition module 300 is used to acquire the target air flow of the heat exchanger under the target wind speed data based on the wind speed simulation function and the target wind speed data; wherein the target wind speed data is the data actually measured at the anemometer.

[0137] The data acquisition module 100 in this embodiment acquires the first wind speed data and the second wind speed data of the heat exchanger when the fan is running based on the wind speed sensor;

[0138] The wind speed sensor is arranged at the anemometer of the heat exchanger in the fan, and is arranged on the surface of the heat exchanger.

[0139] The wind speed sensor disposed on the surface of the heat exchanger in this embodiment includes:

[0140] A plurality of wind speed sensors are evenly arranged on the air outlet side of the heat exchanger, and a plurality of wind speed sensors are evenly arranged on the air inlet side of the heat exchanger.

[0141] The wind speed sensor disposed on the surface of the heat exchanger in this embodiment includes:

[0142] A wind speed sensor is installed at the anemometer of the heat exchanger;

[0143] 9 wind speed sensors are evenly arranged at the air outlet side of the heat exchanger;

[0144] A wind speed sensor is respectively arranged on the air inlet side of both sides of the heat exchanger, wherein the wind speed sensors arranged on both sides of the heat exchanger are located at a preset distance from the air inlet side.

[0145] The wind speed simulation system in this embodiment further includes a fan full power determination module 400, which is used to obtain the power generation power of the fan before obtaining the first wind speed data and the second wind speed data of the heat exchanger when the fan is running;

[0146] In response to the fact that the power generation power is at the full generation value for a preset period of time, the step of acquiring the first wind speed data and the second wind speed data of the heat exchanger is executed.

[0147] The fan full power determination module 400 in this embodiment is also used for:

[0148] Acquire a number of operating power data of the fan based on a preset sampling step length in a preset time period;

[0149] Based on a number of operating power data, obtaining difference data of a number of adjacent sampling time points;

[0150] Counting a first quantity of difference data that is less than a preset threshold;

[0151] In response to the first number being within a preset range, it is determined that the fan is in a stable full-power state.

[0152] The data processing module 200 in this embodiment is used to perform a first-order fitting on the first wind speed data and the second wind speed data at different positions to obtain a number of fitting graphs; the fitting graphs represent the distribution of the second wind speed data under the first wind speed data;

[0153] Perform secondary fitting on several fitting graphs to obtain the wind speed simulation function.

[0154] The wind speed simulation system in this embodiment further includes: a heat exchange calculation unit, which is used to obtain temperature difference information of the heat exchanger within a preset time period after obtaining the target air flow of the heat exchanger under the target wind speed data;

[0155] Based on the temperature difference information and the target air flow rate, the heat exchange capacity of the heat exchanger under the target wind speed data is obtained.

[0156] In this embodiment, the step of obtaining the temperature difference information of the heat exchanger within a preset time period includes:

[0157] The temperature difference information of the heat exchanger within a preset time period is obtained based on the temperature sensor.

[0158] In the wind speed simulation system of the heat exchanger provided in this embodiment, data fitting is performed between the data of the heat exchanger near the fan and the surface data to obtain an operation simulation function corresponding to the heat exchanger. The performance of the heat exchanger can be predicted in the design stage through the simulation operation function, thereby reducing the R&D cost. The wind speed field distribution before and after the passive heat exchanger in the wind turbine cooling system is measured at different wind speeds, and the actual heat exchange capacity of the heat exchanger is evaluated based on the verified simulation results, thereby improving the accuracy of the simulation results of the heat exchanger and providing data support for the cooling system design.

[0159] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only illustrative, in which the units described as separate components may or may not be physically separated, and the components as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution.

[0160] Example 3

[0161] Figure 7 The present invention is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present disclosure. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the method in the above embodiment is implemented when the processor executes the program. Figure 7 The electronic device 30 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0162] like Figure 7 As shown, the electronic device 30 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 30 may include, but are not limited to: at least one processor 31, at least one memory 32, and a bus 33 connecting different system components (including the memory 32 and the processor 31).

[0163] The bus 33 includes a data bus, an address bus, and a control bus.

[0164] The memory 32 may include a volatile memory, such as a random access memory (RAM) 321 and / or a cache memory 322 , and may further include a read-only memory (ROM) 323 .

[0165] The memory 32 may also include a program / utility 325 having a set (at least one) of program modules 324, such program modules 324 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0166] The processor 31 executes various functional applications and data processing by running the computer programs stored in the memory 32, such as the method in the above-mentioned embodiment of the present disclosure.

[0167] The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboards, pointing devices, etc.). Such communication may be performed via an input / output (I / O) interface 35. Furthermore, the model generating device 30 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 36. Figure 7 As shown, the network adapter 36 communicates with other modules of the model-generated device 30 via the bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the model-generated device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

[0168] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules to be embodied.

[0169] Example 4

[0170] The embodiments of the present disclosure further provide a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the wind speed simulation system for the heat exchanger provided in any of the above embodiments is implemented.

[0171] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0172] Example 5

[0173] The embodiment of the present disclosure further provides a computer program product, including a computer program, which implements the wind speed simulation system of the heat exchanger provided above when executed by a processor.

[0174] Among them, the program code for executing the computer program product of the present disclosure can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.

[0175] Although the specific embodiments of the present disclosure are described above, those skilled in the art should understand that this is only an example, and the protection scope of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, but these changes and modifications all fall within the protection scope of the present disclosure.

Claims

1. A method for simulating wind speed of a heat exchanger, characterized in that: The wind speed simulation method comprises: Acquire first wind speed data and second wind speed data of the heat exchanger when the fan is running, wherein the first wind speed data is wind speed data at an anemometer of the heat exchanger, and the second wind speed data is wind speed data at at least two different positions on the surface of the heat exchanger; Performing data fitting on the first wind speed data and the second wind speed data to obtain a wind speed simulation function of the heat exchanger; the wind speed simulation function represents the air flow distribution of the heat exchanger under any first wind speed data; Based on the wind speed simulation function and the target wind speed data, the target air flow of the heat exchanger under the target wind speed data is obtained; wherein the target wind speed data is the data actually measured at the anemometer.

2. The wind speed simulation method for a heat exchanger according to claim 1, characterized in that: The step of obtaining the first wind speed data and the second wind speed data of the heat exchanger when the fan is running includes: Acquire first wind speed data and second wind speed data of the heat exchanger when the fan is running based on the wind speed sensor; Wherein, the wind speed sensor is arranged at the anemometer of the heat exchanger in the fan, and is arranged on the surface of the heat exchanger.

3. The wind speed simulation method for a heat exchanger according to claim 2, characterized in that: The wind speed sensor disposed on the surface of the heat exchanger includes: A plurality of wind speed sensors are evenly arranged on the air outlet side of the heat exchanger, and a plurality of wind speed sensors are evenly arranged on the air inlet side of the heat exchanger.

4. The wind speed simulation method for a heat exchanger according to claim 2, characterized in that: The wind speed sensor disposed on the surface of the heat exchanger includes: A wind speed sensor is arranged at the anemometer of the heat exchanger; 9 wind speed sensors are evenly arranged at the air outlet side of the heat exchanger; One wind speed sensor is disposed on each of the air inlet sides of the heat exchanger, wherein the wind speed sensors disposed on both sides of the heat exchanger are located at a preset distance from the air inlet side.

5. The wind speed simulation method for a heat exchanger according to claim 1, characterized in that: Before the step of obtaining the first wind speed data and the second wind speed data of the heat exchanger when the fan is running, the wind speed simulation method further includes: Obtaining the power generation of the wind turbine; In response to the preset time period of the power generation being at the full power value, the step of acquiring the first wind speed data and the second wind speed data of the heat exchanger is executed.

6. The wind speed simulation method for a heat exchanger according to claim 5, characterized in that: The step of responding to the power generation being at the full power value for a preset time period comprises: Acquiring a number of operating power data of the wind turbine based on a preset sampling step length in a preset time period; Based on the plurality of operating power data, obtaining difference data of a plurality of adjacent sampling time points; Counting a first quantity of the difference data that is less than a preset threshold; In response to the first number being within a preset range, it is determined that the fan is in a stable full-power state.

7. The wind speed simulation method for a heat exchanger according to claim 1, characterized in that: The step of performing data fitting on the first wind speed data and the second wind speed data at different positions to obtain a wind speed simulation function of the heat exchanger comprises: Performing a first-order fitting on the first wind speed data and the second wind speed data at different positions to obtain a plurality of fitting graphs; the fitting graphs represent the distribution of the second wind speed data under the first wind speed data; A plurality of the fitting graphs are subjected to secondary fitting to obtain the wind speed simulation function.

8. The wind speed simulation method for a heat exchanger according to claim 1, characterized in that: After the step of obtaining the target air flow of the heat exchanger under the target wind speed data, the wind speed simulation method further includes: Obtaining temperature difference information of the heat exchanger within a preset time period; Based on the temperature difference information and the target air flow rate, the heat exchange capacity of the heat exchanger under the target wind speed data is obtained.

9. The wind speed simulation method for a heat exchanger according to claim 8, characterized in that: The step of obtaining the temperature difference information of the heat exchanger within a preset time period includes: The temperature difference information of the heat exchanger within the preset time period is obtained based on a temperature sensor.

10. A wind speed simulation system for a heat exchanger, characterized in that: The wind speed simulation system comprises: A data acquisition module, used to acquire first wind speed data and second wind speed data of the heat exchanger when the fan is running, wherein the first wind speed data is wind speed data at an anemometer of the heat exchanger, and the second wind speed data is wind speed data at at least two different positions on the surface of the heat exchanger; A data processing module, used for performing data fitting on the first wind speed data and the second wind speed data to obtain a wind speed simulation function of the heat exchanger; the wind speed simulation function represents the air flow distribution of the heat exchanger under any first wind speed data; The target air flow acquisition module is used to acquire the target air flow of the heat exchanger under the target wind speed data based on the wind speed simulation function and the target wind speed data; wherein the target wind speed data is the data actually measured at the anemometer.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, characterized in that: When the processor executes the computer program, the wind speed simulation method for the heat exchanger according to any one of claims 1 to 9 is implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the wind speed simulation method for a heat exchanger according to any one of claims 1 to 9 is implemented.

13. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the wind speed simulation method for a heat exchanger according to any one of claims 1 to 9 is implemented.