Complex geomorphic region short time wind energy prediction method based on WRF (Weather Research and Forecasting Model)/CFD/SAHDE-RVM coupling

Abstract

The invention provides a complex geomorphic region short time wind energy prediction method based on WRF (Weather Research and Forecasting Model) / CFD / SAHDE-RVM coupling, which comprises steps of WRF wind direction prediction, SAHDE-RVM short-time wind speed prediction, preliminary APG production, APG perfection, short-time wind energy prediction and the like. In the method, the corresponding boundary condition information can be matched more accurately through observation data of an anemometer. The wind direction information and the wind speed information in a future short time can be providedfor a wind turbine tower in the complex geomorphic region, each wind turbine tower in the region can be adjusted in real time, the wind taking capability is improved, and the application prospect iswide.

Description

technical field [0001] The invention relates to the field of wind power, in particular to a wind energy prediction method. Background technique [0002] In order to perform short-term wind energy prediction for a complex landform area, one of the current methods is based on the meteorological data provided by The Weather Research and Forecasting Model (WRF) to perform short-term wind field forecasting in the WAsP software , the basic idea of ​​the WAsP model is to linearize the momentum equation that controls the airflow movement, which can significantly reduce the difficulty of solving the nonlinear partial differential equations (the nonlinear partial differential equations), and also save a lot of time cost. In addition, there is a method of performing real-time simulation and prediction based on the meteorological data provided by WRF, and then inputting the simulation results into CFD software for calculation to obtain the predicted wind field information of the entire ...

AI Technical Summary

Problems solved by technology

Because it is extrapolated from an observation point, the error will increase with the increase of the distance from the wind measurement point, so it is not feasible to directly use WAsP for wind energy calculation in a large area; in addition, because WAsP itself uses a linear model for calculation, It will cause uncertainty in the calculation results of complex fluids flowing through the terrain, and has certain limitations; at the same time, existing research findings show that using a linear model will overestimate the acceleration of the airflow at the top of the mountain and cannot solve the problem of the leeward surface of the mountain. gas splitting problem

[0005] The second is to use CFD software to carry out numerical simulation in real time. It is necessary to extract short-term forecast meteorological data from WRF in time. The calculation resources consumed by the simultaneous operation are huge and require a certain amount of calculation time. Wind energy forecast results are adjusted in real time

However, due to the non-linearity of fluid properties in complex landform areas, it is currently difficult to find a specific equation to describe their correlation; at the same time, global on-site data measurement requires the establishment of multiple anemometers to monitor the entire area for a long time. Observation of wind speed and wind direction, this method firstly has high construction and maintenance costs, and secondly, improper selection of individual measurement locations may affect the expression of wind field information in complex terrain areas

Images