干旱区生态环境知识资源中心(Arid): Nowcasting of Surface Solar Irradiance Using FengYun-4 Satellite Observations over China

Arid

DOI	10.3390/rs11171984
	Nowcasting of Surface Solar Irradiance Using FengYun-4 Satellite Observations over China
	Yang, Liwei 1; Gao, Xiaoqing 1; Li, Zhenchao 1; Jia, Dongyu 2; Jiang, Junxia 1,3
通讯作者	Gao, Xiaoqing
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:17
英文摘要	The accurate prediction of surface solar irradiance is of great significance for the generation of photovoltaic power. Surface solar irradiance is affected by many random mutation factors, which means that there are great challenges faced in short-term prediction. In Northwest China, there are abundant solar energy resources and large desert areas, which have broad prospects for the development of photovoltaic (PV) systems. For the desert areas in Northwest China, where meteorological stations are scarce, satellite remote sensing data are extremely precious exploration data. In this paper, we present a model using FY-4A satellite images to forecast (up to 15-180 min ahead) global horizontal solar irradiance (GHI), at a 15 min temporal resolution in desert areas under different sky conditions, and compare it with the persistence model (SP). The spatial resolution of the FY-4A satellite images we used was 1 km x 1 km. Particle image velocimetry (PIV) was used to derive the cloud motion vector (CMV) field from the satellite cloud images. The accuracy of the forecast model was evaluated by the ground observed GHI data. The results showed that the normalized root mean square error (nRMSE) ranged from 18.9% to 21.6% and the normalized mean bias error (nMBE) ranged from 3.2% to 4.9% for time horizons from 15 to 180 min under all sky conditions. Compared with the SP model, the nRMSE value was reduced by about 6%, 8%, and 14% with the time horizons of 60, 120, and 180 min, respectively.
英文关键词	satellite image solar irradiance forecasting FengYun-4A surface solar irradiance cloud motion
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000486874300028
WOS关键词	WATER-VAPOR ; RADIATION ; FORECASTS ; ACCURACY ; DIFFUSE ; MODELS ; BEAM
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218412
作者单位	1.Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China; 2.Lanzhou City Univ, Coll Geog & Environm Engn, Lanzhou 730070, Gansu, Peoples R China; 3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Yang, Liwei,Gao, Xiaoqing,Li, Zhenchao,et al. Nowcasting of Surface Solar Irradiance Using FengYun-4 Satellite Observations over China[J],2019,11(17).
APA	Yang, Liwei,Gao, Xiaoqing,Li, Zhenchao,Jia, Dongyu,&Jiang, Junxia.(2019).Nowcasting of Surface Solar Irradiance Using FengYun-4 Satellite Observations over China.REMOTE SENSING,11(17).
MLA	Yang, Liwei,et al."Nowcasting of Surface Solar Irradiance Using FengYun-4 Satellite Observations over China".REMOTE SENSING 11.17(2019).