Joint simulation method for calculating coupling dynamics of wave energy acquisition device

Abstract

The invention provides a joint simulation method for calculating coupling dynamics of a wave energy acquisition device. According to the method, co-simulation is carried out through two simulation software, namely STAR-CCM + and AMESim, the STAR-CCM + is used for accurately simulating fluid dynamic interaction between waves and a power generation device, meanwhile, modeling and calculation are carried out on dynamic response of an energy conversion and power generation system through AMESim, and the two simulation software are subjected to real-time data exchange and synchronous operation, so that the energy conversion and power generation efficiency is improved. And the simulation integration and the overall precision are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wave energy power generation, and in particular to a joint simulation method for calculating the coupled dynamics of a wave energy acquisition device. Background Art

[0002] Wave energy is a renewable energy source generated by the movement of waves on the ocean surface. Its source is mainly waves generated by the wind on the ocean surface, with high energy density and wide distribution. A notable feature of wave energy is its stability and predictability. The wave movement is relatively continuous and less affected by changing weather conditions, which makes wave energy have a higher energy supply stability compared to other renewable energy sources such as wind and solar energy. In addition, wave energy has high utilization efficiency and can be directly converted into electrical energy in offshore areas, providing a feasible solution for energy supply in coastal areas. With the continuous advancement of technology and the increasing global demand for low-carbon energy, wave energy, as an important part of the future renewable energy system, has broad development prospects.

[0003] In terms of the application of simulation technology, simulation technology is widely used in the design, optimization and performance prediction of wave energy devices, and can effectively simulate complex marine environments and the dynamic response of devices. In numerical simulation, researchers usually use computational fluid dynamics (CFD) methods to simulate the interaction between waves and device structures, and analyze the energy conversion efficiency of devices under different wave conditions. In addition, multi-physics field coupling simulation has also been introduced to simultaneously consider fluid dynamics, structural stress analysis, and the feedback mechanism of the control system, so as to more comprehensively evaluate the overall performance of the device. However, how to further improve the accuracy and efficiency of simulation, especially in large-scale, multi-field coupling situations, remains the focus and challenge of current research.

[0004] In the field of wave energy generation, previous simulation methods mostly rely on a single simulation software to simulate energy acquisition or structural response. However, the simulation of a single software is often difficult to accurately simulate complex multi-physics coupling processes at the same time, such as the interaction between waves and structures, energy conversion, and the dynamic response of the power generation system, and thus cannot fully simulate the fluid dynamics of the wave energy acquisition device during the entire power generation process. When multiple software work together, they will face problems such as incompatible data formats, information transmission delays and synchronization difficulties, complex operations, and poor integration, which greatly reduces the accuracy and efficiency of the simulation results and makes it difficult to achieve efficient and accurate overall simulation. Summary of the invention

[0005] The purpose of the present invention is to solve the problem that in the field of wave energy power generation, existing simulation methods mostly rely on single simulation software, have low simulation efficiency and poor precision; when multiple software work together, the integration is poor and the accuracy of the simulation results is greatly reduced. A joint simulation method for calculating the coupled dynamics of a wave energy acquisition device is proposed.

[0006] The present invention is implemented by the following technical solution. The present invention proposes a joint simulation method for calculating the coupled dynamics of a wave energy acquisition device, and the method comprises the following steps:

[0007] Step 1: Use the 3D-CAD module in STAR-CCM+ to draw a 3D model of the wave energy power generation device, create a calculation water area and divide the grid;

[0008] Step 2: According to external input and simulation experiment requirements, set the physical model and define the parameters of the power generation device and waves respectively;

[0009] Step 3, define the multi-body motion of the power generation device and set the coupling parameters;

[0010] Step 4: Use the dynamic cosim socketdiscrete transmission module under the Generic Cosimulation library in AMEsim to establish a data exchange interface;

[0011] Step 5: Use AMEsim software to build a simulation model of the energy conversion system;

[0012] Step 6. Specify the host and port to be used when running the solver, couple to AMEsim and run the co-simulation.

[0013] Furthermore, in step 1, the mass and moment of inertia parameters of the three-dimensional model are set; and the calculation water area is created according to the actual device size and wave propagation range.

[0014] Furthermore, in step 2, the physical model selects a fifth-order VOF wave-wave physical model, and sets the shape parameters of the power generation device, the wavelength and wave height parameters of the input wave according to external input and simulation experiment requirements.

[0015] Furthermore, in step 3, the multi-body motion form of the power generation device is defined, and a dynamic fluid-solid interaction (DFBI) module is created to enable the power generation device to rotate and translate freely under the action of waves. The Simcenter Amesim collaborative simulation model is selected under the optional model to complete the setting of the coupling parameters.

[0016] Furthermore, in step 4, the number of ports on the left side and the right side of the transmission module is set to two.

[0017] Furthermore, in step 5, the energy conversion system simulation model is built using the Signal, Control library, 1D Mechanical library, Hydraulic Component Design library and Hydraulic library in AMEsim.

[0018] Furthermore, in step 6, specify the host and port used when running the solver, return to STAR-CCM+, match the port in the external connection with the AMEsim setting, couple to AMEsim, and run the co-simulation.

[0019] Furthermore, the port number is set to 60000.

[0020] The present invention also proposes an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the joint simulation method for calculating the coupled dynamics of a wave energy acquisition device are implemented.

[0021] The present invention also proposes a computer-readable storage medium for storing computer instructions, which, when executed by a processor, implement the steps of a joint simulation method for calculating the coupled dynamics of a wave energy acquisition device.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] 1. Significantly improved simulation accuracy and performance: Compared with a single software simulation method, the joint simulation method of the present invention can realize coupled simulation of multiple physical fields, especially in the accurate simulation of fluid dynamics and energy conversion process, which makes the simulation results closer to the actual situation. In addition, through joint simulation, the joint simulation method of the present invention can simultaneously optimize the structural design of the wave energy harvesting device and the dynamic response of the power generation system, thereby improving the energy conversion efficiency of the entire system.

[0024] 2. Save simulation cost and time: The present invention realizes the full process simulation of the wave energy acquisition device from energy acquisition to power generation through joint simulation, reduces the number and scale of simulation of two processes separately, saves experimental costs, and shortens the experimental cycle.

[0025] 3. Simplicity of operation and control: The present invention integrates complex multi-field coupling problems into a joint simulation framework, which simplifies the operation and control of the simulation process. Users only need to input once to obtain the dynamic response data of the entire system, which greatly improves the convenience and efficiency of simulation operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0027] Figure 1 It is a flow chart of a joint simulation method for calculating the coupled dynamics of a wave energy acquisition device described in the present invention.

[0028] Figure 2 This is a schematic diagram of a simulation model of an energy conversion system built using AMEsim software.

[0029] Figure 3 This is the power time domain diagram obtained by joint simulation. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] The method of the present invention uses two simulation softwares, STAR-CCM+ and AMEsim, to perform collaborative simulation, using STAR-CCM+ to accurately simulate the fluid dynamics interaction between waves and power generation devices, and using AMESim to model and calculate the dynamic response of energy conversion and power generation systems. The two improve the integration and overall accuracy of the simulation through real-time data exchange and synchronous operation. The method connects the energy acquisition simulation part and the power generation simulation part of the wave energy acquisition device through a TCP interface, performs data exchange, and completes the joint simulation.

[0032] Specifically, combined Figure 1-Figure 3 The present invention proposes a joint simulation method for calculating the coupled dynamics of a wave energy acquisition device, the method comprising the following steps:

[0033] Step 1: Use the 3D-CAD module in STAR-CCM+ to draw a 3D model of the wave energy power generation device, create a calculation water area and divide the grid;

[0034] In step 1, the mass and moment of inertia parameters of the 3D model are set; the calculation water area is created according to the actual device size and wave propagation range. When dividing the grid, local encryption is performed near the device to ensure accuracy.

[0035] Step 2: According to external input and simulation experiment requirements, set the physical model and define the parameters of the power generation device and waves respectively;

[0036] In step 2, the physical model selects a fifth-order VOF wave-wave physical model, and sets the shape parameters of the power generation device, the wavelength and wave height parameters of the input wave according to external input and simulation experiment requirements.

[0037] Step 3, define the multi-body motion of the power generation device and set the coupling parameters;

[0038] In step 3, define the multi-body motion form of the power generation device, create a dynamic fluid-solid interaction (DFBI) module, enable the power generation device to rotate and translate freely under the action of waves, and select the Simcenter Amesim collaborative simulation model under the optional model to complete the setting of coupling parameters.

[0039] Step 4: Use the dynamic cosim socketdiscrete (TCP Socket Connection) transmission module under the Generic Cosimulation library in AMEsim to establish a data exchange interface;

[0040] In step 4, the number of ports on the left side and the right side of the transmission module is set to two.

[0041] Step 5: Use AMEsim software to build a simulation model of the energy conversion system;

[0042] In step 5, the energy conversion system simulation model is built using the Signal, Control library, 1D Mechanical library, HydraulicComponent Design library, and Hydraulic library in AMEsim.

[0043] Step 6. Specify the host and port to be used when running the solver, couple to AMEsim and run the co-simulation.

[0044] In step 6, specify the host and port used when running the solver, return to STAR-CCM+, match the port in the external connection with the AMEsim setting, couple to AMEsim, and run the co-simulation. The port number is set to 60000.

[0045] Example

[0046] The present invention proposes a joint simulation method for calculating the coupled dynamics of a wave energy acquisition device, the method comprising the following steps:

[0047] Step 1: Use the 3D-CAD module in STAR-CCM+ to draw a three-dimensional model of the wave energy power generation device, including all key components of the power generation device, such as floats, hydrofoils, power conversion devices, etc. The present invention uses a raft-type wave energy power generation device as a simulation object and sets the mass and moment of inertia parameters of each component.

[0048] According to the actual device size and wave propagation range, the calculation water area is created, and the wave inlet is defined as the velocity inlet, the wave outlet as the pressure outlet, the top and bottom as the velocity inlet, and the two sides as the symmetry planes.

[0049] The mesh is created and locally refined on the free water surface, near the power generation device, and in the area where the fluid interacts with the solid.

[0050] Step 2: Setting a physical model for simulating waves. The present invention uses a fifth-order VOF wave model to simulate the propagation and reflection of waves on the water surface and the interaction with the power generation device.

[0051] According to the requirements of the simulation experiment, the physical characteristics of the waves are set, including wavelength, wave height, and period, and the external parameters of the power generation device, such as the raft pendulum length, shape, and device length and shape, are defined.

[0052] Step 3: Create a dynamic fluid-solid interaction (DFBI) module to enable the power generation device to move freely under the action of waves, and connect the raft pendulum with other parts of the power generation device through the rotation joint under the DFBI.

[0053] Select SimcenterAmesim in the Physics 1-Optional Model-Co-Simulation node, SimcenterAmesim explicit coupling, specify two single value field DFBI directions, and create two corresponding direction reports. Create an external connection, add the report to the exported field, set the scalar function to the direction report, expand the Connection 1-Condition-SimcenterAmesim port association node, set the two node ports to 1 and 2 respectively, and complete the export field and coupling parameter settings.

[0054] Step 4: Use the dynamic cosim socketdiscrete (TCP Socket Connection) transmission module under Generic Cosimulation in AMEsim to create an interface for data exchange. Set the number of ports on the left and right sides of the transmission module to two, such as Figure 2 As shown in TCP Socket Connection.

[0055] Step 5. The present invention uses dual rectifier circuits, accumulators, hydraulic motors, generators and other components to convert energy and complete the power generation process. Use the modules in the Signal, Control library, 1D Mechanical library, HydraulicComponent Design library, and Hydraulic library in AMEsim to build an energy conversion system simulation model, such as Figure 2 shown.

[0056] In the parameter mode of the simulation model, the parameters of each subsystem are set, including the stroke of the hydraulic cylinder, the accumulator pressure, the displacement of the hydraulic motor, the generator power, and the damping.

[0057] Step 6. Start the SimcenterAmesim solver in server mode, specify the host and port used when running the solver, set the port number to 60000, return to STAR-CCM+, make sure that the node ports 1 and 2 in the external connection match the AMEsim settings, couple to AMEsim and run the joint simulation to obtain the power generation parameters of the power generation device, such as Figure 3 Shown is the power time domain diagram obtained by co-simulation.

[0058] The present invention also proposes an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the joint simulation method for calculating the coupled dynamics of a wave energy acquisition device are implemented.

[0059] The present invention also proposes a computer-readable storage medium for storing computer instructions, which, when executed by a processor, implement the steps of a joint simulation method for calculating the coupled dynamics of a wave energy acquisition device.

[0060] The memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus RAM (DRRAM). It should be noted that the memory of the method described in the present invention is intended to include, but is not limited to, these and any other suitable types of memory.

[0061] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a high-density digital video disc (DVD)), or a semiconductor medium (eg, a solid state disc (SSD)).

[0062] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiment of the present application can be directly embodied as a hardware processor for execution, or a combination of hardware and software modules in a processor for execution. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it is not described in detail here.

[0063] It should be noted that the processor in the embodiment of the present application can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method embodiment can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to perform, or the hardware and software modules in the decoding processor can be combined and performed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0064] The above is a detailed introduction to a joint simulation method for calculating the coupled dynamics of a wave energy acquisition device proposed in the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A joint simulation method for calculating the coupled dynamics of a wave energy harvesting device, characterized in that: The method comprises the following steps: Step 1: Use the 3D-CAD module in STAR-CCM+ to draw a 3D model of the wave energy power generation device, create a calculation water area and divide the grid; Step 2: According to external input and simulation experiment requirements, set the physical model and define the parameters of the power generation device and waves respectively; Step 3, define the multi-body motion of the power generation device and set the coupling parameters; Step 4: Use the dynamic cosim socket discrete transmission module under the Generic Cosimulation library in AMEsim to establish a data exchange interface; Step 5: Use AMEsim software to build a simulation model of the energy conversion system; Step 6. Specify the host and port to be used when running the solver, couple to AMEsim and run the co-simulation.

2. The method according to claim 1, characterized in that: In step 1, the mass and moment of inertia parameters of the 3D model are set; the calculation water area is created according to the actual device size and wave propagation range.

3. The method according to claim 1, characterized in that In step 2, the physical model selects a fifth-order VOF wave-wave physical model, and sets the shape parameters of the power generation device, the wavelength and wave height parameters of the input wave according to external input and simulation experiment requirements.

4. The method according to claim 1, characterized in that In step 3, define the multi-body motion form of the power generation device, create a dynamic fluid-solid interaction (DFBI) module, enable the power generation device to rotate and translate freely under the action of waves, and select the Simcenter Amesim collaborative simulation model under the optional model to complete the setting of coupling parameters.

5. The method according to claim 1, characterized in that In step 4, the number of ports on the left side and the right side of the transmission module is set to two.

6. The method according to claim 1, characterized in that In step 5, the energy conversion system simulation model is built using the Signal, Control library, 1D Mechanical library, Hydraulic Component Design library, and Hydraulic library in AMEsim.

7. The method according to claim 1, characterized in that In step 6, specify the host and port to use when running the solver, return to STAR-CCM+, match the port in the external connection to the AMEsim setting, couple to AMEsim, and run the co-simulation.

8. The method according to claim 7, characterized in that The port number is set to 60000.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium for storing computer instructions, characterized in that: When the computer instructions are executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

Images