Wind resource assessment method based on numerical weather prediction and computational fluid dynamics

Abstract

The invention discloses a wind resource assessment method based on numerical weather prediction and the computational fluid dynamics. According to the method, area wind speed situations of a wind power plant in a selected year are simulated in a numerical weather prediction model, so that numerical weather prediction results comprising wind speed and wind direction time variation sequences of the wind power plant are obtained; one or more wind speed and wind direction time variation sequences are selected from the numerical weather prediction results and input in CFD software of the computational fluid dynamics, and wind resource situations of the whole wind power plant can calculated and obtained. Compared with a method of combining a meso-scale numerical model and a micro-scale numerical model, the wind resource assessment method achieves more accurate physical solution and calculation of the wind power plant on a micro level, and meanwhile the effects on wind speed attenuation or turbulence from complex terrain and wake effects are considered. Compared with wind resource assessment conducted through the CFD software only, the method can provide input of more result points of the CFD software by being combined with results of the numerical weather prediction model.

Description

technical field [0001] The invention relates to the field of power system and control technology, in particular to the aspect of wind resource assessment applied to wind farms. Background technique [0002] With the rapid development of the global economy, the demand for energy has increased exponentially. In the development and utilization of renewable energy, wind energy has become the most eye-catching new energy in the world at present, and wind power generation is currently the utilization method with the most mature technology, the most promising large-scale development and commercial development. [0003] In the process of wind energy resource development, early wind energy resource assessment and wind farm site selection are extremely important. The key issue in site selection is to truly understand the status, distribution and changes of wind energy resources, analyze and find suitable potential wind farm sites. Therefore, an objective and accurate assessment of w...

AI Technical Summary

Problems solved by technology

However, this method using only CFD software needs to rely on the wind flow data of the anemometer tower as input data for simulation, and the anemometer tower has the characteristics of inconsistent observation data periods, uneven distribution of observation stations, low resolution, and manpower for observation of the anemometer tower. The defect of high material consumption makes this method relying on the observation data of wind measuring towers as the input data of CFD software unable to carry out large-scale regional wind energy resource assessment

Images