Wind turbine aerodynamic performance prediction method and related device
By obtaining the hydrodynamic parameters of the floating foundation and calculating the aerodynamic loads of the horizontal and vertical axis wind turbines, the performance prediction problem in deep-sea wind power was solved, achieving comprehensive performance prediction, reducing costs and improving the overall development benefits of wind turbine units.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUN YAT SEN UNIV
- Filing Date
- 2025-12-31
- Publication Date
- 2026-05-12
AI Technical Summary
Existing methods for predicting the aerodynamic performance of wind turbines have limitations in deep-sea wind power development, including difficulties in performance prediction and insufficient predictive results. Furthermore, fixed foundations cannot meet the demands for high power output, hindering the progress of grid parity for offshore wind power.
A method for predicting the aerodynamic performance of wind turbines is proposed. By obtaining the hydrodynamic parameters of the floating foundation, the aerodynamic load of the horizontal axis wind turbine is calculated by combining the blade element momentum theory, and the aerodynamic load of the vertical axis wind turbine is calculated based on the actuation column theory. By integrating the loads of the floating foundation, the horizontal axis wind turbine, and the vertical axis wind turbine, a comprehensive performance prediction is achieved.
It enables accurate performance prediction of integrated systems of floating horizontal axis wind turbines and multi-tower vertical axis wind turbines, reduces design and construction costs, improves the overall development benefits of wind turbine units, and promotes the large-scale application of deep-sea wind power.
Smart Images
Figure CN122014520A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of aerodynamic performance prediction technology, and in particular to a method and related apparatus for predicting the aerodynamic performance of a wind turbine. Background Technology
[0002] Against the backdrop of increasing energy demand and the depletion of near-shore wind power resources, the development of deep-sea wind power faces challenges such as the cost of deep-water technology, the inability of fixed foundations to meet high-power requirements, and obstacles to the promotion of grid parity for offshore wind power. As a result, existing predictions of wind turbine aerodynamic performance are difficult to make and the prediction results are not comprehensive enough. Summary of the Invention
[0003] To address the aforementioned issues, this application provides a method and related apparatus for predicting the aerodynamic performance of wind turbines, offering a comprehensive performance prediction method for integrated systems of floating horizontal-axis wind turbines and multi-tower vertical-axis wind turbines.
[0004] According to one aspect of the embodiments of this application, a method for predicting the aerodynamic performance of a wind turbine is proposed, applied to an integrated system of a floating horizontal-axis wind turbine and a multi-tower vertical-axis wind turbine. The integrated system includes a floating foundation, a horizontal-axis wind turbine, and a vertical-axis wind turbine. The method includes: Obtain the hydrodynamic parameters for the floating foundation, and determine the hydrodynamic load on the floating foundation based on the hydrodynamic parameters; The aerodynamic load of the horizontal axis wind turbine is calculated based on the blade element momentum theory. The aerodynamic load of the vertical axis wind turbine is calculated based on the actuation column theory; The hydrodynamic load of the floating foundation, the aerodynamic load of the horizontal axis wind turbine, and the aerodynamic load of the vertical axis wind turbine are used as the performance prediction results of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine.
[0005] In the above scheme, the floating foundation includes a central column and three outer columns. The horizontal axis wind turbine is installed on the central column, and the number of vertical axis wind turbines is three, with the three vertical axis wind turbines respectively installed on the three outer columns.
[0006] In the above scheme, the horizontal axis wind turbine includes a tower, a nacelle, a hub, and a wind turbine; the nacelle is located at the top of the tower, and the wind turbine is connected to the nacelle through the hub.
[0007] In the above scheme, the vertical axis wind turbine includes an upper H-type vertical axis wind turbine, a lower H-type vertical axis wind turbine, a drag-type wind turbine, an energy-concentrating plate, and a cover plate.
[0008] According to one aspect of the embodiments of this application, a wind turbine aerodynamic performance prediction device is proposed, applied to an integrated system of a floating horizontal axis wind turbine and a multi-tower vertical axis wind turbine. The integrated system includes a floating foundation, a horizontal axis wind turbine, and a vertical axis wind turbine. The device includes: The acquisition unit is used to acquire the hydrodynamic parameters for the floating foundation and determine the hydrodynamic load of the floating foundation based on the hydrodynamic parameters. The first calculation unit is used to calculate the aerodynamic load of the horizontal axis wind turbine based on the blade element momentum theory. The second calculation unit is used to calculate the aerodynamic load of the vertical axis wind turbine based on the actuation column theory. The prediction unit is used to use the hydrodynamic load of the floating foundation, the aerodynamic load of the horizontal axis wind turbine, and the aerodynamic load of the vertical axis wind turbine as the performance prediction results of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine.
[0009] According to one aspect of the embodiments of this application, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the wind turbine aerodynamic performance prediction method as described above.
[0010] According to one aspect of the embodiments of this application, a computer program product is provided, the computer program product including a computer program, the computer program being read and executed by a processor of an electronic device, causing the electronic device to perform the wind turbine aerodynamic performance prediction method as described above.
[0011] The beneficial effects of this application are as follows: This application innovatively proposes a floating horizontal axis wind turbine and multi-tower vertical axis wind turbine integrated system, which includes a floating foundation, a horizontal axis wind turbine, and a vertical axis wind turbine. Existing solutions are usually pure horizontal axis wind turbines or pure vertical axis wind turbines. This application overcomes the performance defects and structural deficiencies of existing wind turbines by integrating horizontal axis wind turbines and vertical axis wind turbines.
[0012] Based on this, by acquiring the hydrodynamic parameters of the floating foundation and determining the hydrodynamic load of the floating foundation based on these parameters, the aerodynamic load of the horizontal axis wind turbine is calculated using blade element momentum theory. Simultaneously, the aerodynamic load of the vertical axis wind turbine is calculated based on actuation column theory. Finally, by combining the hydrodynamic load of the floating foundation, the aerodynamic load of the horizontal axis wind turbine, and the aerodynamic load of the vertical axis wind turbine, the performance prediction results of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine are obtained. This provides a comprehensive aerodynamic performance prediction method, enabling accurate prediction of the performance of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine. Attached Figure Description
[0013] Figure 1 This is a system architecture diagram of the wind turbine aerodynamic performance prediction method provided in the embodiments of this application; Figure 2 A flowchart illustrating the wind turbine aerodynamic performance prediction method provided in this application embodiment; Figure 3 A schematic diagram of module interaction for the wind turbine aerodynamic performance prediction method provided in the embodiments of this application; Figure 4 Architecture diagram of the integrated system of floating horizontal axis wind turbine and multi-tower vertical axis wind turbine provided in the embodiments of this application; Figure 5 A schematic diagram of a horizontal axis wind turbine provided in an embodiment of this application; Figure 6 A schematic diagram of a vertical axis wind turbine provided in an embodiment of this application; Figure 7 This is a schematic diagram for the analysis of the actuated column; Figure 8 A block diagram of a wind turbine aerodynamic performance prediction device provided in an embodiment of this application; Figure 9 This is a schematic diagram of the structure of a terminal provided in an embodiment of this application; Figure 10 This is a schematic diagram of the structure of a server provided in an embodiment of this application. Detailed Implementation
[0014] To enable those skilled in the art to better understand the solutions of this application, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0015] It should be noted that while some processes described in the specification, claims, and accompanying drawings include multiple steps appearing in a specific order, it should be clearly understood that these steps may not be performed in the order they appear herein, or may be performed in parallel. The step numbers are merely used to distinguish different steps and do not themselves represent any execution order. Furthermore, descriptions such as "first," "second," or "objective" in this document are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. "Multiple" in this document refers to at least two.
[0016] It is worth noting that in the specific embodiments of this application, hydrodynamic parameters, loads, and other related data are involved. When the above embodiments of this application are applied to specific products or technologies, permission or consent from the target object is required, and the collection, use, and processing of related data must comply with relevant laws, regulations, and standards. For example, when an embodiment of this application needs to obtain hydrodynamic parameters and other related data, separate permission or consent from the target object can be obtained through pop-up windows or redirection to a confirmation page. After obtaining the target object's separate permission or consent, the hydrodynamic parameters and other related data used to enable the embodiments of this application to operate normally can then be obtained.
[0017] Please see Figure 1 , Figure 1 This is a system architecture diagram of the wind turbine aerodynamic performance prediction method provided in this application embodiment. It includes a terminal 140, an Internet connection 130, a gateway 120, a server 110, etc.
[0018] Terminal 140 can take various forms, including desktop computers, laptops, PDAs (personal digital assistants), mobile phones, vehicle terminals, and dedicated terminals. Furthermore, it can be a single device or a collection of multiple devices. For example, multiple desktop computers can be interconnected via a local area network, sharing a single monitor to work collaboratively, forming a single terminal 140. Terminal 140 can communicate with the Internet 130 via wired or wireless means to exchange data.
[0019] Server 110 refers to a computer system capable of providing certain services to terminal 140. Compared to ordinary terminal 140, server 110 has higher requirements in terms of stability, security, and performance. Server 110 can be a single high-performance computer in a network platform, a cluster of multiple high-performance computers, a portion of a single high-performance computer (e.g., a virtual machine), or a combination of portions of multiple high-performance computers (e.g., virtual machines). Server 110 can also communicate with the Internet 130 via wired or wireless means to exchange data.
[0020] Gateway 120, also known as an internetwork connector or protocol converter, is a computer system or device that acts as a translator, enabling network interconnection at the transport layer. It bridges the gap between two systems using different communication protocols, data formats, languages, or even completely different architectures. Gateways can also provide filtering and security functions. Messages sent from terminal 140 to server 110 are forwarded to the corresponding server 110 via gateway 120. Messages sent from server 110 to terminal 140 are also forwarded to the corresponding terminal 140 via gateway 120.
[0021] With continuously growing energy demand and increasingly depleted near-shore wind power resources, deep-sea areas (water depths of 60m and above) have become the focus of wind power development, but face technical and cost challenges due to water depth. Fixed foundations can no longer meet design requirements, making floating wind power systems a research hotspot. Achieving grid parity for offshore wind power is a core development goal, requiring a reduction in the cost per kilowatt of power generation and an increase in overall development returns.
[0022] Currently, horizontal axis wind turbines are the mainstream floating wind turbine products. Although offshore floating dual-rotor wind power platforms exist, most still adopt a single-tower / single-rotor structure, increasing the cost per kilowatt of floating power generation. Mainstream horizontal axis wind turbines require a yaw system, resulting in complex structures, stress concentration, and poor resistance to damage; they also have high starting wind speeds (2.5~5 m / s) and low wind energy utilization; installation is inconvenient, costly, and prone to failure. Vertical axis wind turbines do not require a yaw device and can adapt to multiple wind directions; the blades are fixed at both ends, the structure is robust, facilitating support and large-scale construction; the generator can be placed below the rotor, supporting multiple units to adapt to different wind speeds and improve the wind energy utilization coefficient; installation is simple, and starting wind speed is low. Drag-type vertical axis wind turbines have high starting torque and good starting performance, but low speed and low wind energy utilization. Lift-type vertical axis wind turbines have high speed, simple structure, and low cost, but are difficult to start at low wind speeds and have poor operating performance.
[0023] Floating wind turbines are strongly coupled dynamic systems integrating aerodynamics, hydrodynamics, structure, and mooring. This complex coupling characteristic of multiple subsystems and multiple physics fields allows for the systematic reproduction of the interaction mechanisms between subsystems through the construction of multi-field collaborative numerical models, supporting engineering design and performance optimization. Several commercial software programs, such as OpenFast, have been developed for floating horizontal-axis wind turbines. However, due to the unique aerodynamic characteristics of floating vertical-axis wind turbines, there is no mature commercial fully coupled simulation software; existing tools are limited to "independent R&D personnel / laboratory use," and other researchers are not authorized to access them.
[0024] In summary, effectively reducing the cost of deep-water floating wind turbine generators and achieving fully coupled simulation of floating vertical axis wind turbines are urgent problems that need to be solved by those skilled in the art.
[0025] In view of this, this application aims to propose an integrated system of floating horizontal axis wind turbine and multi-tower vertical axis wind turbine, and an integrated fully coupled simulation method that meets the engineering design and performance optimization of the system. It can share the floating foundation, reduce the design, construction and operation and maintenance costs of developing the two separately, and improve the overall benefits of integrated development.
[0026] The following provides a detailed description of the specific implementation methods of the embodiments of this application: Please see Figure 2 , Figure 2 This is a flowchart illustrating the wind turbine aerodynamic performance prediction method provided in this application embodiment. The wind turbine aerodynamic performance prediction method can be implemented by server 110 and / or terminal 140. Figure 2 The wind turbine aerodynamic performance prediction methods shown include: Step 210: Obtain the hydrodynamic parameters for the floating foundation, and determine the hydrodynamic load on the floating foundation based on the hydrodynamic parameters; Step 220: Calculate the aerodynamic load of the horizontal axis wind turbine based on the blade element momentum theory; Step 230: Calculate the aerodynamic load of the vertical axis wind turbine based on the actuation column theory; Step 240: Use the hydrodynamic load of the floating foundation, the aerodynamic load of the horizontal axis wind turbine, and the aerodynamic load of the vertical axis wind turbine as the performance prediction results of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine.
[0027] The complete embodiments of this application are explained in detail below: like Figure 3 As shown, the entire floating horizontal axis wind turbine and multi-tower vertical axis wind turbine integrated system can include, from the software perspective, a hydrodynamic frequency domain calculation module, a time domain coupling calculation module, a vertical axis wind turbine VAWT aerodynamic calculation program module, and a coupling interface program module written in Python.
[0028] The hydrodynamic frequency domain calculation module can calculate the hydrostatic / hydrodynamic coefficients (including stiffness, added mass coefficient, potential flow damping coefficient, first-order wave force transfer function, second-order wave force transfer function, etc.) of floating foundations based on hydrodynamic software such as AQWA / WADAM.
[0029] The time-domain coupled calculation module uses Orcaflex to read the floating foundation hydrodynamic coefficient input file from the hydrodynamic frequency domain calculation module, and processes the hydrodynamic loads on the floating foundation (including Y-shaped pontoons, columns, and struts) in the time domain based on potential flow theory and the Morison equation; it calculates the aerodynamic loads of the horizontal axis wind turbine based on blade element momentum theory; and it uses the finite element method to simulate slender structures such as anchor lines and floating foundation struts, and calculates hydrodynamics using the Morison method. The Orcaflex module processes the hydrodynamic loads on the floating foundation (including Y-shaped pontoons, columns, and struts) and the aerodynamic loads of the horizontal axis wind turbine in the time domain based on potential flow theory and the Morison equation; the aerodynamic calculation program developed in Fortran solves the aerodynamic loads of the tower vertical axis wind turbine using the actuated column AC method; the Orcaflex module also uses the finite element method to simulate slender structures such as anchor lines and floating foundation struts, and calculates hydrodynamics using the Morison method.
[0030] Here, the hydrodynamic load of the floating foundation, the aerodynamic load of the horizontal axis wind turbine, and the aerodynamic load of the vertical axis wind turbine are used as the performance prediction results of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine.
[0031] The VAWT aerodynamic calculation module for vertical axis wind turbines is based on the actuation column theory and uses a calculation program developed in Fortran to solve the aerodynamic load of a single vertical axis wind turbine at a certain instant.
[0032] The coupling interface program module, written in Python, obtains information such as the displacement / velocity of the floating foundation at a certain instant from the time-domain coupling calculation module, and the aerodynamic loads fed back by the VAWT aerodynamic calculation program module of the vertical axis wind turbine. This enables real-time interaction of all aerodynamic, hydrodynamic, and mooring forces, and constructs a fully coupled dynamic simulation model covering the superposition of multiple loads including aerodynamics, hydrodynamics, and mooring. Finally, the fully coupled time-domain simulation is realized in the time-domain coupling calculation module.
[0033] Regarding the hardware structure, refer to Figures 4-6 , Figure 4 The overall structural diagram shows that the floating foundation includes a central column and three outer columns. The horizontal axis wind turbine is mounted on the central column, and there are three vertical axis wind turbines, which are respectively mounted on the three outer columns.
[0034] Figure 5 This is a schematic diagram of a horizontal axis wind turbine, which includes a tower, a nacelle, a hub, and a rotor. The nacelle is located at the top of the tower, and the rotor is connected to the nacelle through the hub.
[0035] Figure 6 This is a structural diagram of a vertical axis wind turbine, which includes an upper H-type vertical axis wind turbine, a lower H-type vertical axis wind turbine, a drag-type wind turbine, an energy-concentrating plate, and a cover plate.
[0036] The following is a brief explanation of the specific implementation steps of the momentum-leaf element theory. 1) Divide a leaf of length R into n equal parts, forming n independent leaf elements, and determine the function of each leaf element. The airfoil of the table.
[0037] 2) Treat each leaf element independently and initialize the axial and tangential induction factors a and a', usually taking (a = a' = 0).
[0038] 3) Determine the airflow inclination angle of each leaf element according to the following formula. In the formula, w is the relative velocity. This represents the velocity of the incoming flow.
[0039] ; 4) According to the formula Determine the local angle of attack of each leaf element In the formula Describes the propeller pitch angle.
[0040] 5) Read the lift coefficient C1 and drag coefficient Cd of each leaf element from the experimental data table.
[0041] 6) Calculate the normal force coefficient Cn and the tangential force coefficient Ct using the following formula.
[0042] ; 7) Calculate the axial and tangential induction factors a and a' using the following formulas. That is... ; 8) Check whether the changes in induction factors a and a' are less than the allowable deviation; otherwise, return to step 3) and recalculate.
[0043] After obtaining a and a', we can then calculate the torque acting on the entire wind turbine, the power output of the entire wind turbine, and the wind energy utilization coefficient of the entire wind turbine.
[0044] The following is a brief explanation of the specific implementation steps of the actuated column theory. To effectively simplify the complexity of three-dimensional unsteady flow fields, a spatial discretization method is often used to divide the entire blade of a vertical axis wind turbine into several aerodynamic elements with finite heights along the height direction. During the rotation of the rotor, each element can be constructed as an actuated cylinder centered on and perpendicular to the main axis. By segmenting the rotor sweep surface, multiple cylinders with finite heights and radii equal to the actual rotor radius can be formed, thus simplifying the complex three-dimensional unsteady aerodynamic problem into multiple independently solvable two-dimensional actuated cylinder flow problems, achieving efficient simulation of aerodynamic loads of floating vertical axis wind turbines. For each actuated cylinder element, its induced velocity can be solved using the Actuator Cylinder (AC) model. The actuated cylinder model is based on two-dimensional, quasi-static flow assumptions. Neglecting viscosity, the basic equations describing the flow around the rotor are the Euler equations and the continuity equation. It should be noted that these equations have adopted the rotor radius R and the incoming wind speed = and fluid density Dimensionless processing is performed.
[0045] 1) Velocity component and It can be expressed as the following formula. Where, and These represent the induced velocity coefficients in the flow direction and transverse direction, respectively. The induced velocity for each cylinder can be evaluated using a semi-analytical method.
[0046] ; 2) The dimensionless normal volume force Qn and tangential volume force Qt are perpendicular and tangential to the cylinder, respectively. When the airflow passes over the cylinder surface, a pressure jump occurs on the surface, and the normal volume force Qn is closely related to this pressure jump. Simultaneously, the normal volume force Qn and tangential volume force Qt are considered to be caused by the aerodynamic forces generated by the blades. Assuming the load is a piecewise constant and only considering the induced velocity along the edge of the impeller, the control points on the cylindrical surface ( The equivalent expressions for the induced velocity and the normal and tangential volume forces Qn on (j=1,2,…,N) are as follows: ; ; like Figure 7 As shown, if the control point is located on the leeward side of the cylinder, that is Then in The formula needs to include terms marked with an asterisk (*). Influence coefficient. The control points are described. The degree to which the velocity at point i is affected by the loads at other points i is defined as follows. Wherein, .
[0047] ; ; 3) Calculate aerodynamic loads based on the actuated column model. Local velocity components Vx and Vy are equivalent to the normal velocity Vn and tangential velocity Vt, respectively, and can be determined based on the free wind speed. Induction speed , and rotational speed Determine ; 4) The normal velocity Vn and tangential velocity Vt can be derived from the local velocities Vx and Vy, and further, the relative velocity Vrel and angle of attack can be obtained. .
[0048] ; 5) Lift coefficient C L and drag coefficient C D It is related to the Reynolds number and angle of attack. Calculate the lift L and drag D per unit length of blade.
[0049] ; 6) Calculate the normal blade force F acting on the local element. n and tangential blade force F t They are perpendicular to and parallel to the chord, respectively.
[0050] ; 7) Calculate the normal load F per unit length. nB and tangential load F tB , which are perpendicular to and tangential to the cylindrical surface, respectively. In the formula, It is the propeller pitch angle.
[0051] ; 8) Dimensionless normal volume force Q n and tangential volume force Q t It can also be calculated using the following formula. Where B is the number of blades, and V... WL It refers to the localized incoming air velocity.
[0052] ; 9) Based on the aerodynamic parameters such as Fn and Ft obtained from the above calculations, the power, thrust, lateral force and other aerodynamic performance of the vertical axis wind turbine can be further calculated.
[0053] Based on this, the technical solution of this application has the following technical effects: Cost optimization and grid parity promotion: By sharing floating foundations between floating horizontal-axis and multi-tower vertical-axis wind turbines, the design, construction, and equipment investment costs of separate development are significantly reduced, resulting in a substantial decrease in the cost per kilowatt of power generation. This effectively addresses the core challenge hindering grid parity for offshore wind power and provides economic support for the large-scale commercial development of deep-sea wind power. Simultaneously, the integrated design of multiple units increases the power generation capacity per floating platform, amortizing fixed costs such as floating foundations and mooring systems, thus creating a virtuous cycle of "economies of scale - cost reduction - market expansion."
[0054] Complementary performance and enhanced stability of the units: Synergistic effects are achieved by leveraging the core advantages of the two types of wind turbines. Horizontal axis turbines are suitable for medium-to-high wind speed conditions, while vertical axis turbines (drag type + lift type) can be configured in multiple units to adapt to different wind speed ranges. The high starting torque of the drag type compensates for the low-wind-speed starting deficiency of the lift type, and the high-speed characteristics of the lift type improve the power generation efficiency at medium-to-high wind speeds. The multi-tower counter-rotating and symmetrical layout disperses wind loads, significantly reducing the unidirectional bending moment of a single rotor structure, reducing the requirements for the mooring system, and improving structural resistance to damage and operational stability.
[0055] Breakthrough in Simulation Technology and Engineering Support: The integrated, fully coupled simulation method fills the gap in mature commercial fully coupled simulation software for floating vertical axis wind turbines by constructing a multi-field collaborative numerical model encompassing aerodynamics, hydrodynamics, structure, and mooring. This method provides scientific support for the engineering design, parameter optimization, and risk prediction of this integrated system, shortens the R&D cycle, reduces engineering trial-and-error costs, and promotes the large-scale application of deep-sea floating wind power.
[0056] Resource Development and Industry Value Upgrading: Adapting to the needs of deep-sea resource development in water depths of 60m and above, breaking through the limitations of near-shore resource depletion, and combining multi-wind-direction adaptability and high-power adaptability to enhance the overall benefits of deep-sea wind power development.
[0057] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of the wind turbine aerodynamic performance prediction device provided in the embodiments of this application. The wind turbine aerodynamic performance prediction device is applied to computer equipment, and the wind turbine aerodynamic performance prediction device may include: The acquisition unit 401 is used to acquire the hydrodynamic parameters for the floating foundation and determine the hydrodynamic load of the floating foundation based on the hydrodynamic parameters. The first calculation unit 402 is used to calculate the aerodynamic load of the horizontal axis wind turbine based on the blade element momentum theory. The second calculation unit 403 is used to calculate the aerodynamic load of the vertical axis wind turbine based on the actuation column theory. The prediction unit 404 is used to use the hydrodynamic load of the floating foundation, the aerodynamic load of the horizontal axis wind turbine, and the aerodynamic load of the vertical axis wind turbine as the performance prediction results of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine.
[0058] Reference Figure 8 , Figure 8 To implement the structural block diagram of a portion of the terminal 140 in this application embodiment, the terminal 140 includes: a radio frequency (RF) circuit 710, a memory 715, an input unit 730, a display unit 740, a sensor 750, an audio circuit 760, a wireless fidelity (WiFi) module 770, a processor 780, and a power supply 790, among other components. Those skilled in the art will understand that... Figure 8 The terminal 140 structure shown does not constitute a limitation on a mobile phone or computer, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0059] The RF circuit 710 can be used to receive and transmit signals during information transmission or calls. In particular, it receives downlink information from the base station and processes it with the processor 780; in addition, it transmits uplink data to the base station.
[0060] The memory 715 can be used to store software programs and modules. The processor 780 executes various functional applications of the terminal and wind turbine aerodynamic performance prediction processing by running the software programs and modules stored in the memory 715.
[0061] The input unit 730 can be used to receive input numeric or character information, and to generate key signal inputs related to the terminal's settings and function control. Specifically, the input unit 730 may include a touch panel 731 and other input devices 732.
[0062] The display unit 740 can be used to display input or provided information, as well as various menus of the terminal. The display unit 740 may include a display panel 741.
[0063] Audio circuitry 760, speaker 761, and microphone 762 provide an audio interface.
[0064] In this embodiment, the processor 780 included in the terminal 140 can execute the wind turbine aerodynamic performance prediction method of the previous embodiment.
[0065] The terminal 140 in this application embodiment includes, but is not limited to, mobile phones, computers, intelligent voice interaction devices, smart home appliances, vehicle terminals, and aircraft. This application embodiment can be applied to various scenarios, including but not limited to cloud technology, artificial intelligence, smart transportation, and assisted driving.
[0066] Figure 9 This is a partial structural block diagram of a server 110 implementing an embodiment of this application. The server 110 can vary significantly due to different configurations or performance characteristics, and may include one or more central processing units (CPUs) 822 (e.g., one or more processors) and memory 832, and one or more storage media 830 (e.g., one or more mass storage devices) for storing application programs 842 or data 844. The memory 832 and storage media 830 can be temporary or persistent storage. The program stored in the storage media 830 may include one or more modules (not shown in the diagram), each module including a series of instruction operations on the server 110. Furthermore, the CPU 822 may be configured to communicate with the storage media 830 and execute the series of instruction operations in the storage media 830 on the server 110.
[0067] Server 110 may also include one or more power supplies 826, one or more wired or wireless network interfaces 850, one or more input / output interfaces 858, and / or one or more operating systems 841, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, etc.
[0068] The central processing unit 822 in server 110 can be used to execute the wind turbine aerodynamic performance prediction method of the present application embodiments.
[0069] This application also provides a computer-readable storage medium for storing program code for executing the wind turbine aerodynamic performance prediction method of the foregoing embodiments.
[0070] This application also provides a computer program product, which includes a computer program. A processor of a computer device reads and executes the computer program, causing the computer device to perform the aforementioned wind turbine aerodynamic performance prediction method.
[0071] Furthermore, the terms “comprising” and “including”, and any variations thereof, are intended to cover non-exclusive inclusion, such that a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or apparatus.
[0072] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.
[0073] It should be understood that in the description of the embodiments of this application, "multiple" means two or more, "greater than", "less than", "exceeding" etc. are understood to exclude the number itself, and "above", "below", "within" etc. are understood to include the number itself.
[0074] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.
[0075] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of this application, depending on actual needs.
[0076] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0077] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0078] It should also be understood that the various implementation methods provided in this application can be combined arbitrarily to achieve different technical effects.
[0079] In the embodiments of this application, the terms "module" or "unit" refer to a computer program or part of a computer program that has a predetermined function and works with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.
[0080] The above is a detailed description of the embodiments of this application. However, this application is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.
Claims
1. A method for predicting the aerodynamic performance of a wind turbine, characterized in that, An application is made to an integrated system of a floating horizontal-axis wind turbine and a multi-tower vertical-axis wind turbine, wherein the integrated system includes a floating foundation, a horizontal-axis wind turbine, and a vertical-axis wind turbine, and the method includes: Obtain the hydrodynamic parameters for the floating foundation, and determine the hydrodynamic load on the floating foundation based on the hydrodynamic parameters; The aerodynamic load of the horizontal axis wind turbine is calculated based on the blade element momentum theory. The aerodynamic load of the vertical axis wind turbine is calculated based on the actuation column theory; The hydrodynamic load of the floating foundation, the aerodynamic load of the horizontal axis wind turbine, and the aerodynamic load of the vertical axis wind turbine are used as the performance prediction results of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine.
2. The method for predicting the aerodynamic performance of a wind turbine according to claim 1, characterized in that, The floating foundation includes a central column and three outer columns. The horizontal axis wind turbine is mounted on the central column, and the number of vertical axis wind turbines is three, with each of the three vertical axis wind turbines mounted on one of the three outer columns.
3. The method for predicting the aerodynamic performance of a wind turbine according to claim 1, characterized in that, The horizontal axis wind turbine includes a tower, a nacelle, a hub, and a rotor; the nacelle is located at the top of the tower, and the rotor is connected to the nacelle through the hub.
4. The method for predicting the aerodynamic performance of a wind turbine according to claim 1, characterized in that, The vertical axis wind turbine includes an upper H-type vertical axis wind turbine, a lower H-type vertical axis wind turbine, a drag-type wind turbine, an energy-concentrating plate, and a cover plate.
5. A wind turbine aerodynamic performance prediction device, characterized in that, An integrated system for floating horizontal-axis wind turbines and multi-tower vertical-axis wind turbines is applied. This system includes a floating foundation, a horizontal-axis wind turbine, and a vertical-axis wind turbine. The device comprises: The acquisition unit is used to acquire the hydrodynamic parameters for the floating foundation and determine the hydrodynamic load of the floating foundation based on the hydrodynamic parameters. The first calculation unit is used to calculate the aerodynamic load of the horizontal axis wind turbine based on the blade element momentum theory. The second calculation unit is used to calculate the aerodynamic load of the vertical axis wind turbine based on the actuation column theory. The prediction unit is used to use the hydrodynamic load of the floating foundation, the aerodynamic load of the horizontal axis wind turbine, and the aerodynamic load of the vertical axis wind turbine as the performance prediction results of the integrated system of the floating horizontal axis wind turbine and the multi-tower vertical axis wind turbine.
6. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the wind turbine aerodynamic performance prediction method according to any one of claims 1 to 4.
7. A computer program product, said computer program product comprising a computer program, characterized in that, The computer program is read and executed by the processor of the electronic device, causing the electronic device to perform the wind turbine aerodynamic performance prediction method according to any one of claims 1 to 4.