干旱区生态环境知识资源中心(Arid): Solar Resource Modeling for CSP: Current Status of Aerosol-Related Errors in South-Eastern Asia

Arid

DOI	10.1063/5.0028575
	Solar Resource Modeling for CSP: Current Status of Aerosol-Related Errors in South-Eastern Asia
	Ruiz-Arias, Jose A.; Lara-Fanego, Vicente; Cebecauer, Tomas
通讯作者	Ruiz-Arias, JA (corresponding author), Univ Malaga, Dept Appl Phys 1, Malaga 29071, Spain.
会议名称	International Conference on Concentrating Solar Power and Chemical Energy Systems (SolarPACES)
会议日期	OCT 01-04, 2019
会议地点	Daegu, SOUTH KOREA
英文摘要	The solar resource assessment in areas of interest for CSP has to rely at some point on modeled solar irradiance calculated from atmospheric composition data because on-site ground observations, if any, are limited. In the absence of clouds, regular situation in areas of high solar resource, the critical atmospheric constituent is aerosol, which may undergo sudden changes from day to day and region to region. Atmospheric chemistry models are a convenient source of aerosol information to evaluate solar irradiance. However, their performance varies widely depending on the regional weather characteristics and aerosol sources (e.g., desert dust vs. urban pollution). This work evaluates the reliability of modeled solar irradiance in south-eastern Asia wider cloudless conditions when aerosol data are gathered from the CAMS and MERRA2 global atmospheric chemistry models, two of the most advanced models of its class. To minimize the impact of errors from the solar radiation model itself, the high-quality SMARTS spectral solar irradiance model is used. The study is conducted throughout four sites of the BSRN radiometric network over 1 year of observations at each one. Overall, prediction uncertainty of DNI is about three times higher than the prediction uncertainty of GHI.
来源出版物	INTERNATIONAL CONFERENCE ON CONCENTRATING SOLAR POWER AND CHEMICAL ENERGY SYSTEMS (SOLARPACES 2019)
ISSN	0094-243X
出版年	2020
卷号	2303
ISBN	978-0-7354-4037-1
出版者	AMER INST PHYSICS
类型	Proceedings Paper
语种	英语
开放获取类型	Bronze
收录类别	CPCI-S
WOS记录号	WOS:000679378800027
WOS关键词	VALIDATION
WOS类目	Energy & Fuels
WOS研究方向	Energy & Fuels
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365587
作者单位	[Ruiz-Arias, Jose A.] Univ Malaga, Dept Appl Phys 1, Malaga 29071, Spain; [Lara-Fanego, Vicente; Cebecauer, Tomas] Solargis Sro, Mytna 48, Bratislava 81107, Slovakia
推荐引用方式 GB/T 7714	Ruiz-Arias, Jose A.,Lara-Fanego, Vicente,Cebecauer, Tomas. Solar Resource Modeling for CSP: Current Status of Aerosol-Related Errors in South-Eastern Asia[C]:AMER INST PHYSICS,2020.