A comparison study of the application of data assimilation in the short-term prediction of radiation and precipitation

被引：0

作者：

Ding, Huang ^{[1
]}

Cui, Fang ^{[1
,2
]}

Wang, Zhijia ^{[1
]}

Zhou, Hai ^{[1
,2
]}

Chen, Weidong ^{[1
]}

机构：

[1] China Elect Power Res Inst, Renewable Energy Ctr, Nanjing, Jiangsu, Peoples R China

[2] China Elect Power Res Inst, State Key Lab Operat & Control Renewable Energy &, Beijing, Peoples R China

来源：

2017 6TH INTERNATIONAL CONFERENCE ON POWER SCIENCE AND ENGINEERING (ICPSE 2017) | 2018年 / 136卷

基金：

中国国家自然科学基金;

关键词：

SOLAR; ENSEMBLE;

D O I：

10.1088/1755-1315/136/1/012013

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Based on the meteorological observation of the DG plants in East China, the assimilation effect of the WRF in the summer of 2016 was studied. The results show that, in the case of using data assimilation, the model correctly predicted the occurrence time of precipitation, as well as the variation of the precipitation along with the time were well consistent with the observations, which gives more accurate downward shortwave radiation. The application of data assimilation techniques can provide reliable information to adapt to the high resolution of meso-scale meteorological model. Therefore, it provides the necessary technical support for the development of the distributed power generation.

引用

页数：6

共 21 条

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