Sea wind resource evaluation method based on WRF mode

Abstract

The invention discloses a sea wind resource evaluation method based on a WRF mode. The sea wind resource evaluation method based on the WRF mode mainly comprises the steps of obtaining WRF numerical value weather forecast data and anemometer tower data, building a vertical shear model of wind, building a wind speed probability model, evaluating air density and evaluating wind power density and annual energy output. The sea wind resource evaluation method based on the WRF mode evaluates sea wind resources through the WRF numerical value weather forecast data, and effectively overcomes the defect that a traditional wind resource evaluation technology is low in accuracy.

Description

technical field [0001] The present invention relates to a wind resource assessment method, more specifically, to a WRF model-based offshore wind resource assessment method. Background technique [0002] my country's wind power technology generally started relatively late, and offshore wind power has just begun. Research on various technologies of offshore wind power, including offshore wind resource assessment technology, is in the ascendant. Wind energy resource assessment is the premise of wind power development and the basis for wind farm site selection, wind turbine selection, machine location layout, power generation estimation and economic budget. The accuracy of wind resource assessment directly determines the economic benefits of wind power development, which is particularly prominent in offshore wind power development where investment risks are high. According to statistics, the offshore wind speed 10km offshore is usually about 25% higher than that on the coast, a...

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Problems solved by technology

In response to this problem, some data propose to use the measured values ​​of coastal onshore meteorological stations, plus the empirical formula of sea surface wind speed to estimate the distance from the coast. less reliable

Some foreign countries have set up buoy wind measurement systems to directly measure the wind conditions in various sea areas, but there have been no reports that my country has built a similar system

There are also many foreign literatures that use the long-range wind measurement data of NASA's Quik-SCAT satellite, but the public part of the data seems to be only up to around 2010 for the measurement of the sea surface near China.

[0011] (2) If the wind farm is built on the tropical monsoon sea surface, the applicability of the wind vertical shear model to this sea surface is not yet clear

[0012] (3) Although the sea is wide and flat, there are still complex land and sea effects, which cannot be described by the WAsP model. Even for numerical weather prediction, some models cannot fully describe the land and sea effects

For example, there is an upwelling effect on the ocean surface to the east of the Leizhou Peninsula in Guangdong, which leads to an abnormal drop in sea surface temperature on the continental shelf, which may have an impact on wind speed. Since the mechanism of this effect is mainly in the ocean water body rather than the atmosphere, the numerical forecast commonly used in my country has not yet been confirmed. Does the pattern describe the effect

[0013] (4) Some sea areas are often dominated by high and low pressure alternately, and the air density cannot be assumed to be constant. Even when the turbulence is large, the air cannot be assumed to be a mixture of water vapor and ideal gas, so the accuracy of the air density calculation formula may be reduced

[0014] At present, there is no relevant result in the use of WRF model to assess offshore wind resource

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