干旱区生态环境知识资源中心(Arid): UV-A Estimation in Atacama Desert from GHI Measurements by Using Artificial Neural Network

Arid

DOI	10.18086/swc.2019.08.08
	UV-A Estimation in Atacama Desert from GHI Measurements by Using Artificial Neural Network
	Mondaca, Gino; Trigo-Gonzalez, Mauricio; Marzo, Aitor; Alonso-Montesinos, Joaquin; Barbero, Javier; Salazar, German; Olivares, Douglas; Ferrada, Pablo
通讯作者	Mondaca, G (corresponding author), Univ Antofagasta, Ctr Desarrollo Energet Antofagasta, Antofagasta, Chile.
会议名称	International-Solar-Energy-Society (ISES) Solar World Conference (SWC) / International-Energy-Agency-Solar-Heating-and-Cooling-Programme (IEA SHC) International Conference on Solar Heating and Cooling for Buildings and Industry
会议日期	NOV 04-07, 2019
会议地点	Chilean Solar Energy Res Ctr, Santiago, CHILE
英文摘要	The Atacama Desert presents ideal conditions for the proliferation of solar projects due to the high solar resource present in the area. However, Atacama Desert is also known to have a large amount of ultraviolet radiation due to the scarcity of ozone and aerosols in its atmosphere. Ultraviolet radiation is harmful to the people who work under its influence and affects the durability of the materials used in PV facilities. Two useful models for the estimation of solar irradiance and daily solar irradiation in the ultraviolet A spectral range in the Atacama Desert are shown in this paper. The models were generated by using artificial neural networks and use global horizontal irradiance measurements and astronomical calculations as inputs. Results show relative errors of 6% and 3% for the estimations of UV-A irradiance and UV-A daily irradiation, respectively. Therefore, these models show that they are reliable for the estimation of solar radiation in the UV-A range in the Atacama Desert, being able to provide information in those places where it is needed.
英文关键词	UV-A irradiance artificial neural network Atacama Desert Resource solar
来源出版物	PROCEEDINGS OF THE ISES SOLAR WORLD CONFERENCE 2019 AND THE IEA SHC SOLAR HEATING AND COOLING CONFERENCE FOR BUILDINGS AND INDUSTRY 2019
出版年	2019
页码	365-375
ISBN	978-3-9820408-1-3
出版者	INTL SOLAR ENERGY SOC
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000604438100037
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/2XILL650/370241
作者单位	[Mondaca, Gino; Trigo-Gonzalez, Mauricio; Marzo, Aitor; Olivares, Douglas; Ferrada, Pablo] Univ Antofagasta, Ctr Desarrollo Energet Antofagasta, Antofagasta, Chile; [Alonso-Montesinos, Joaquin; Barbero, Javier] Univ Almeria CIEMAT, CIESOL, Joint Ctr, Almeria, Spain; [Salazar, German] Univ Nacl Salta, Dept Fis, Salta Capital, Argentina
推荐引用方式 GB/T 7714	Mondaca, Gino,Trigo-Gonzalez, Mauricio,Marzo, Aitor,et al. UV-A Estimation in Atacama Desert from GHI Measurements by Using Artificial Neural Network[C]:INTL SOLAR ENERGY SOC,2019:365-375.