Regional wind energy resource refined evaluation method combining regional climate, local daily change and multi-scale interaction characteristics

Abstract

The invention discloses a regional wind energy resource fine evaluation method combining regional climate, local daily change and multi-scale interaction characteristics, which comprises the followingsteps of: collecting global hourly reanalysis data ERA5 in the recent year, and adopting a 5-hour spectral approximation assimilation scheme when a downscaling mode is carried out, exporting wind vectors, wind speeds, horizontal wind directions, wind power and other factor products on national 0.10-degree longitude and latitude grid coordinates of near-surface equal-height layers in recent years;generating a regional climate analysis product, simulating and generating a nationwide simulation field with the resolution of 2km by using a WRF mode, assimilating the simulation field with the resolution of 2km, and generating a nationwide meteorological analysis field with the resolution of 2km; and taking the meteorological analysis field with the resolution of 2km as a background field, downscaling a wind field to the resolution of 200m by utilizing topographic data with the resolution of 90m, and generating micro-scale wind resource data with the resolution of 200m in recent five years.

Description

technical field [0001] The invention relates to the field of meteorology and new energy power generation systems, in particular to a fine-grained assessment method for regional wind energy resources. Background technique [0002] Wind resource assessment is a necessary condition for wind power companies to formulate macro plans, and accurate wind resource assessment is the first step in the selection of wind farm sites and models. A deep understanding and accurate assessment of wind resources will help to set more appropriate control strategies after the wind farm is put into operation, accurately predict the power generation, greatly reduce the cost of wind power per kilowatt-hour, and reduce project investment return expectations determined by power generation capacity forecasts the resulting financial risks. [0003] There are mainly two types of wind energy resource assessment methods, one is to conduct statistical analysis on the historical observation data of weather ...

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Problems solved by technology

The two methods have their own advantages and disadvantages: When using station observation data for evaluation, few computing resources are required, and the evaluation of station location is relatively accurate, but it is difficult to obtain accurate spatial distribution of wind energy resources when there is no observation and the terrain is complex; and Using numerical simulation to realize wind energy resource investigation can obtain the temporal and spatial distribution of wind energy resources with dynamic characteristics, but it requires a lot of computing resources, and its accuracy depends on the numerical model itself, data assimilation technology and interpretation methods of model products

But the disadvantages are 1) the resolution of the global reanalysis data is too coarse to reflect local small-scale features; 2) the resolution of terrain data is too coarse to reflect the influence of complex terrain on the near-surface wind field; 3) the near-surface vertical layer is very less, unable to capture the wind field characteristics within the height level where the wind turbine is located

The computing resources required by this method can be reduced by adjusting the ratio of the number of days extracted, but the disadvantages are: 1) The sounding stations are relatively sparse, and the classification cannot truly reflect the regional characteristics of wind farms, especially for Inner Mongolia, Xinjiang, Tibet, etc. area; 2) The classification adopts the wind direction, wind speed and daily maximum mixed layer height of 850 hPa (about 1500 m above sea level) and 700 hPa (about 3000 m above sea level) (He Xiaofeng et al., 2015, Acta Meteorological Sinica), Due to the influence of terrain and boundary layer, its classification characteristics may be different from the characteristics at the height required by wind power (70-150 meters above the ground); At 8 o'clock in the evening, it is difficult to reflect the diurnal change characteristics of the weather

The advantage of this method is that the resolution of wind energy data can meet the requirements, but the disadvantages are also very obvious: 1) it requires a huge amount of computing resources, and the calculation cost is very high; The analysis is very difficult; 3) The obtained results reflect more micro-scale structural characteristics, which will have a lot of noise when used to analyze regional climate characteristics, and cannot truly reflect the characteristics of regional climate change, which is not conducive to determining the region Prospects for the development of wind energy resources

[0006] The above four methods include the methods used for wind energy resource assessment. The characteristics of these four methods are: the first method only has regional climate characteristics; the second method can only reflect regional wind energy resource climate characteristics; the third method cannot reflect daily climate characteristics. change, seasonal change, interannual change and other change characteristics that include time information; the fourth method cannot be used for climate assessment

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