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Method for researching long-range continuity of wind speed by utilizing anemometer tower data

An anemometer tower and persistent technology, applied in the field of meteorological data analysis, can solve the problems of lack of quantitative characterization of long-range persistent characteristics of wind speed, and less research impact.

Pending Publication Date: 2022-02-25
国家气象信息中心
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Problems solved by technology

Few studies focus on the time series of wind speed observed at different heights of the same observation point, and the analysis of its internal structural characteristics, especially the lack of quantitative description of the long-term persistence characteristics of wind speed at different heights; at the same time, few studies focus on wind speed The impact of different resolutions of DFA on the statistical results of DFA

Method used

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  • Method for researching long-range continuity of wind speed by utilizing anemometer tower data
  • Method for researching long-range continuity of wind speed by utilizing anemometer tower data
  • Method for researching long-range continuity of wind speed by utilizing anemometer tower data

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Embodiment Construction

[0050] 1. Research data

[0051] The data comes from the professional observation network of China's onshore wind energy resources, which was officially established in 2009. Such as figure 1 As shown, the distribution of 400 wind-measuring towers across the country is mainly concentrated in the north and southeast coast where my country's wind energy resources are relatively rich, while in the vast central and southern regions, the distribution of wind-measuring towers is relatively sparse. The wind measuring instruments all adopt the ZQZ-TF wind speed and wind direction sensor produced by Jiangsu Institute of Radio Science.

[0052] The data used in this study are 10-minute average wind speed and 6-hour average wind speed data (four times a day: 02, 08, 14, 20). All wind speed data are subject to systematic quality control, including specific steps such as limit value check, extreme value check, internal consistency check, spatiotemporal consistency check, and manual interv...

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Abstract

The invention discloses a method for researching long-range continuity of wind speed by utilizing anemometer tower data. The method comprises the following steps of performing data standardization processing and basic quality control on an original data file of the anemometer tower data; performing data classification extraction on anemometer tower data meeting research requirements; performing scale analysis by using a de-trending fluctuation analysis method DFA; carrying out linear fitting and comparative analysis, and comprehensively obtaining the long-range persistence characteristics of the wind speed. The present invention aims to research the long-range persistence characteristic of wind speed change, and has important reference significance for revealing a physical mechanism of wind speed change, constructing a wind speed model and accurately predicting wind speed.

Description

technical field [0001] The invention relates to the technical field of meteorological data analysis. Specifically, it is a method to study the long-term persistence of wind speed using wind tower data. Background technique [0002] Wind energy is an important renewable resource. Different from traditional fossil energy and new energy sources such as solar energy, wind energy capture is greatly affected by wind speed fluctuations and has significant instability, which has a great impact on the power output of wind turbines, wind energy utilization efficiency, and grid stability. Due to the comprehensive influence of physical processes of different temporal and spatial scales on the surface and local topography, the wind speed in the atmospheric boundary layer shows obvious characteristics such as non-stationarity, intermittent, and long-range persistence. In-depth study of the above-mentioned change characteristics of wind speed is of great significance for building wind sp...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/13
CPCG06F30/20G06F30/13
Inventor 李庆雷陈丽凡张志森远芳王蕙莹朱晨曹丽娟
Owner 国家气象信息中心
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