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A wind resource calculation method based on combination of a medium-scale model and a micro-scale model

A calculation method and micro-scale technology, applied in the field of wind resource assessment, can solve problems such as large amount of calculation and large systematic error, and achieve the effect of reducing the amount of calculation, improving the accuracy and improving the calculation efficiency.

Pending Publication Date: 2019-04-05
华润电力技术研究院有限公司
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Problems solved by technology

[0004] At present, the disadvantage of the statistical downscaling method is that it needs enough observation data to establish a statistical model, and it cannot be used in areas where the correlation between mesoscale climate elements and regional climate elements is poor; while the disadvantage of the traditional dynamic downscaling method is that it requires a large amount of calculations and is computer-intensive. When , affected by the boundary conditions provided by the global climate model, the systematic error of the dynamical model for climate simulation is relatively large

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  • A wind resource calculation method based on combination of a medium-scale model and a micro-scale model
  • A wind resource calculation method based on combination of a medium-scale model and a micro-scale model
  • A wind resource calculation method based on combination of a medium-scale model and a micro-scale model

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Embodiment 1

[0053] refer to figure 2 , the first embodiment of the present invention provides a wind resource calculation method based on the combination of a mesoscale model and a microscale model, wherein the mesoscale model is a WRF mesoscale model, and the microscale model is an OpenFOAM microscale model, so The methods described include:

[0054] Step S100, obtaining the measured data of the wind measuring tower in the target area, and obtaining the reanalysis data corresponding to the target area as the background field;

[0055] It should be noted that small-scale models are generally divided into two types, one is a linear model based on mass conservation, and the other is a CFD (Computational Fluid Dynamics) model based on computational fluid dynamics. The calculation speed of linear mode is fast, but it is only suitable for flat terrain. It is better to use CFD mode for complex terrain. The CFD mode discretizes the field of physical quantities that are continuous in the time ...

Embodiment 2

[0069] refer to Figure 3-4 , the second embodiment of the present invention provides a wind resource calculation method based on the combination of mesoscale model and microscale model, based on the above figure 2 In the first embodiment shown, the step S200, "using the mesoscale model to simulate the background field to obtain WRF mesoscale meteorological model data" includes:

[0070] Step S210, constructing a kilometer-level grid in the target area of ​​the WRF mesoscale model according to the mesoscale model;

[0071] It should be noted that both the mesoscale WRF model and the microscale OpenFOAM model are numerical calculations. The basic concept of numerical calculation is to solve a mathematical equation of a physical or chemical problem, where the mathematical equation is generally a set of partial differential equations (including boundary conditions, partial differential equations without boundary conditions are incomplete). Because it is difficult to directly c...

Embodiment 3

[0085] refer to Figure 5 , the third embodiment of the present invention provides a wind resource calculation method based on the combination of mesoscale model and microscale model, based on the above figure 2 In the first embodiment shown, the step S200, "using the micro-scale model to simulate the background field to obtain the OpenFOAM micro-scale calculation results" includes:

[0086] Step S230, constructing a refined grid in the target area of ​​the OpenFOAM micro-scale model according to the micro-scale model;

[0087] As mentioned above, the refined grid corresponding to the target area is constructed through the grid algorithm. This step can be performed simultaneously with the process of constructing the kilometer-level grid in step S200, or in a sequential order.

[0088] Step S240, obtaining the boundary conditions and initial values ​​corresponding to the target area in OpenFOAM micro-scale mode;

[0089] In the above, the boundary conditions and initial val...

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Abstract

The invention provides a wind resource calculation method based on combination of a medium-scale model and a micro-scale model, and the method comprises the steps: obtaining the actual measurement data of a anemometer tower in a target region, and obtaining the re-analysis data corresponding to the target region as a background field; Performing simulation calculation on the background field through a mesoscale model to obtain WRF mesoscale meteorological mode data; Performing simulation calculation on the background field through a micro-scale model to obtain an OpenFOAM micro-scale calculation result; Establishing a statistical relationship according to the measured data of the anemometer tower and the WRF mesoscale meteorological mode data; And correcting the OpenFOAM micro-scale calculation result by using the statistical relationship to obtain a wind resource correction result. According to the method, operation and prediction can be carried out in regions with poor correlation between medium-scale climate elements and regional climate elements, so that the calculation efficiency is improved, the calculation amount is reduced, and the accuracy of climate simulation is greatlyimproved.

Description

technical field [0001] The invention relates to the technical field of wind resource assessment, and more specifically, relates to a wind resource calculation method based on the combination of a mesoscale model and a microscale model. Background technique [0002] WRF (Weather Research and Forecast) is a widely used weather model. The WRF model now has the most advanced numerical methods and data assimilation techniques, adopts an improved physical process scheme, and has multiple nesting and the ability to be easily located in different geographical locations, focusing on horizontal networks with a resolution of several kilometers to tens of kilometers It improves the simulation and forecast accuracy of important weather features at different scales from cloud scale to weather scale, and is well suited to the needs of different applications from idealized research to operational forecasting, and has been widely used in wind resource simulation and wind speed forecasted bu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20Y02A90/10
Inventor 兰水泉王铁强张幼曾垂宽袁兴德葛文涛鞠苏荣王道欣覃荣君刘庆国杨明明
Owner 华润电力技术研究院有限公司
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