干旱区生态环境知识资源中心(Arid): Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria

Arid

DOI	10.1016/j.renene.2020.04.073
	Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria
	Bailek, Nadjem; Bouchouicha, Kada; Hassan, Muhammed A.; Slimani, Abdeldjalil; Jamil, Basharat
通讯作者	Bailek, N
来源期刊	RENEWABLE ENERGY
ISSN	0960-1481
出版年	2020
卷号	156 页码:57-67
英文摘要	The determination of the PV module temperature is a key parameter for the assessment of the actual performance of the PV systems. The application of available models for PV module temperature estimation in literature can be verified, but the application of these correlations for different climate conditions does not lead to unequivocal results. The main objective of this study is to suggest new empirical models for estimating the back surface module temperature under outdoor hot dry climatic conditions of Adrar province (Algerian Sahara) and to compare the developed models to different existing models in the literature. The models are developed based on meteorological and irradiance data collected from two different plants with different module technologies. The best site-specific approach uses a simple formula to derive the PV-back module temperature from the meteorological variables such as ambient temperature, and irradiance. The relative root mean square error and the Pearson's correlation coefficient of the best developed model are 10.662% and 0.955, respectively. In addition, MAPE and RMSE values are considerably small for the studied stations. A general model for predicting the PV-back temperature was also recommended for simple PV modules or open rack systems in rural locations with no measurement equipment nearby. The results are quite useful for studying PV system performance and estimating its energy output. (C) 2020 Elsevier Ltd. All rights reserved.
英文关键词	Solar energy Photovoltaic cells Back temperature Arid climate Meteorological-based models Algerian Sahara
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000540378500005
WOS关键词	DIFFUSE SOLAR-RADIATION ; OPERATING TEMPERATURE ; SENSITIVITY-ANALYSIS ; ENERGY ; PERFORMANCE ; MODELS ; TILT
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/2XILL650/324761
作者单位	[Bailek, Nadjem] Univ Amine Elokkal El Hadj Moussa Eg Akhamouk Tam, Fac Sci & Technol, Dept Matter Sci, Energies & Mat Res Lab, Tamanrasset 10034, Algeria; [Bouchouicha, Kada; Slimani, Abdeldjalil] Ctr Dev Energies Renouvelables CDER, Unite Rech Energies Renouvelables Milieu Saharien, Adrar 01000, Algeria; [Hassan, Muhammed A.] Cairo Univ, Fac Engn, Mech Power Engn Dept, Giza 12613, Egypt; [Jamil, Basharat] Aligarh Muslim Univ, Dept Mech Engn, Heat Transfer & Solar Energy Lab, Aligarh 202002, Uttar Pradesh, India
推荐引用方式 GB/T 7714	Bailek, Nadjem,Bouchouicha, Kada,Hassan, Muhammed A.,et al. Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria[J],2020,156:57-67.
APA	Bailek, Nadjem,Bouchouicha, Kada,Hassan, Muhammed A.,Slimani, Abdeldjalil,&Jamil, Basharat.(2020).Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria.RENEWABLE ENERGY,156,57-67.
MLA	Bailek, Nadjem,et al."Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria".RENEWABLE ENERGY 156(2020):57-67.