OpenFOAM platform-based ocean atmospheric boundary layer flow characteristic prediction method and system

A technology of ocean atmosphere and flow characteristics, applied in the direction of instrumentation, design optimization/simulation, calculation, etc., can solve the problems of difficult prediction and low prediction efficiency of the flow characteristics of the ocean atmosphere boundary layer, achieve good calculation efficiency, high precision, and improve prediction efficiency effect

Active Publication Date: 2022-05-13
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2
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[0004] In order to overcome the above-mentioned defects, the present invention is proposed to solve or at least partially solve the technical problems that the existing oce

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  • OpenFOAM platform-based ocean atmospheric boundary layer flow characteristic prediction method and system
  • OpenFOAM platform-based ocean atmospheric boundary layer flow characteristic prediction method and system
  • OpenFOAM platform-based ocean atmospheric boundary layer flow characteristic prediction method and system

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[0034] Some embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0035] In the description of the present invention, "module" and "processor" may include hardware, software or a combination of both. A module may include hardware circuits, various suitable sensors, communication ports, memory, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor or any other suitable processor. The processor has data and / or signal processing functions. The processor can be implemented in software, hardware or a combination of both. The non-transitory computer readabl...

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Abstract

The invention relates to the technical field of computational fluid dynamics, particularly provides a method and a system for predicting flow characteristics of a marine atmospheric boundary layer based on an OpenFOAM platform, and aims to solve the problems of difficulty in predicting the flow characteristics of the marine atmospheric boundary layer and low prediction efficiency in the conventional marine measured data analysis method. In order to achieve the purpose, the method for predicting the flow characteristics of the ocean atmospheric boundary layer based on the OpenFOAM platform comprises the following steps: dividing grids for an established three-dimensional calculation drainage basin to obtain three-dimensional drainage basin grids; establishing a computational fluid mechanics model; setting boundary conditions and calculation parameters; and performing flow field numerical calculation on the three-dimensional drainage basin grid based on the established computational fluid mechanics model and the set boundary conditions and calculation parameters to obtain the marine atmospheric boundary flow characteristics.

Description

technical field [0001] The invention relates to the technical field of computational fluid dynamics, and specifically provides a method and system for predicting the flow characteristics of the ocean-atmosphere boundary layer based on the OpenFOAM platform. Background technique [0002] There are waves all the time on the sea surface. In many sea areas, swells dominate and have a significant impact on the flow characteristics of the atmospheric boundary layer. With the development of marine energy sources such as offshore wind power, it is increasingly important to understand the flow characteristics of the maritime atmospheric boundary layer. The analysis of marine measured data is an important method to study the flow characteristics of the oceanic atmospheric boundary layer. However, there are problems such as difficulty in data acquisition, limited wind measurement height, and susceptibility to other factors. The measured data obtained are difficult to conduct regular an...

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Application Information

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IPC IPC(8): G06F30/28G06F113/08G06F119/14
CPCG06F30/28G06F2113/08G06F2119/14
Inventor 葛铭纬杨昊泽许世森刘永前
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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