干旱区生态环境知识资源中心(Arid): Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis

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DOI	10.1016/j.rser.2019.04.006
	Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis
	Sun, Xixi 1; Bright, Jamie M.2; Gueymard, Christian A.3; Acord, Brendan 5; Wang, Peng 1,4; Engerer, Nicholas A.2
通讯作者	Bright, Jamie M. ; Wang, Peng
来源期刊	RENEWABLE & SUSTAINABLE ENERGY REVIEWS
ISSN	1364-0321
出版年	2019
卷号	111 页码:550-570
英文摘要	This study evaluates the performance of 75 clear-sky global irradiance models against 75 ground stations worldwide covering five major Koppen-Geiger climate classifications and overall global performance. After quality control, clear-sky detection and data-availability criteria, there are 4.36 million 1-min valid global horizontal irradiance (GHI) data points for evaluation. This study represents the most encompassing evaluation of its kind in terms of number of models assessed, number of ground stations used, most consistent selection of input variables in terms of temporal and spatial resolution, also using the most rigorous and fair performance assessment criteria and suitable ranking system. A statistically rigorous Principal Component Analysis (PCA) ranking procedure is proposed to replace the conventional ordering method based on single and simple statistics. In particular, it is demonstrated that all 13 error metrics contribute to the variance of GHI estimation and thus must all be accounted for in the ranking procedure. The best performing models in each climate zone of equatorial, arid, temperate, cold and polar are REST2v9.1, REST2v9.1, MAC2, REST2v5 and CLS, respectively. Globally, the top three performing models are MAC2, REST2v5, and REST2v9.1. Many models appear to suffer from over-fitting empirical relationships to training data, resulting in inconsistent worldwide performance. Furthermore, six different formulations of the Linke Turbidity factor (T-L) are evaluated through its application to five clear-sky models that require it as an input. The best globally performing T-L formulations are either by Ineichen or Gueymard when combined with four of the five Linke-dependent clear-sky models, whilst the Grenier formulation performs best with the Ineichen & Perez model. Significant performance variation is observed depending on the T-L formulation selected, hence, careful selection is required for an optimal application. The model codes are available in R [1].
英文关键词	Clear-sky irradiance Clear-sky model Validation Linke turbidity Principal component analysis Global horizontal irradiance
类型	Article
语种	英语
国家	Peoples R China ; Australia ; USA
收录类别	SCI-E
WOS记录号	WOS:000471252700038
WOS关键词	SOLAR-RADIATION MODEL ; ATMOSPHERIC WATER-VAPOR ; BROAD-BAND MODELS ; TIME-SERIES ; LINKE TURBIDITY ; VALIDATION ; SURFACE ; IDENTIFICATION ; TRANSMITTANCE ; PREDICTIONS
WOS类目	Green & Sustainable Science & Technology ; Energy & Fuels
WOS研究方向	Science & Technology - Other Topics ; Energy & Fuels
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218438
作者单位	1.Beihang Univ, Sch Math & Syst Sci, Beijing, Peoples R China; 2.Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 2601, Australia; 3.Solar Consulting Serv, Colebrook, NH USA; 4.Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing, Peoples R China; 5.Synene Clean Energy, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Sun, Xixi,Bright, Jamie M.,Gueymard, Christian A.,et al. Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis[J],2019,111:550-570.
APA	Sun, Xixi,Bright, Jamie M.,Gueymard, Christian A.,Acord, Brendan,Wang, Peng,&Engerer, Nicholas A..(2019).Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis.RENEWABLE & SUSTAINABLE ENERGY REVIEWS,111,550-570.
MLA	Sun, Xixi,et al."Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis".RENEWABLE & SUSTAINABLE ENERGY REVIEWS 111(2019):550-570.