干旱区生态环境知识资源中心(Arid): Experimental investigation and modeling of photovoltaic soiling loss as a function of environmental variables: A case study of semi-arid climate

Arid

DOI	10.1016/j.solmat.2020.110874
	Experimental investigation and modeling of photovoltaic soiling loss as a function of environmental variables: A case study of semi-arid climate
	Zitouni, Houssain; Azouzoute, Alae; Hajjaj, Charaf; El Ydrissi, Massaab; Regragui, Mohammed; Polo, Jesus; Oufadel, Ayoub; Bouaichi, Abdellatif; Ghennioui, Abdellatif
通讯作者	Azouzoute, A (corresponding author), Inst Rech Energie Solaire & Energies Nouvelles, Benguerir, Morocco.
来源期刊	SOLAR ENERGY MATERIALS AND SOLAR CELLS
ISSN	0927-0248
EISSN	1879-3398
出版年	2021
卷号	221
英文摘要	Photovoltaic technology is still developing in the MENA region. Nevertheless, soiling remains a major cause for performance loss in PV Modules. In this work, the soiling rate is modeled as a function of environmental data with several modeling methods such as the multiple linear regression model (MLR), multiple linear regression with interaction model (MLRWI), the mathematical model generated by the response surface methodology (RSM) and Artificial Neural Networks (ANNs), by using one-year of ground measurements from an amorphous array with a capacity of 2.16 kWc. The experiment is carried under a semi-arid climate at Green Energy Park research facility (Benguerir, Morocco). The dust analysis was carried out by Scanning Electron Microscope (SEM), Energy Dispersive X-Ray Spectroscopy (EDS), and X-ray fluorescence (XRF) in two periods (December 2017 and June 2018) in order to define the mineralogy and morphology of our dust samples. The results of this study show that, the daily energy drop reaches 0.43 kWh/day and 0.61 kW/h/day in the dry period and 0.03 kW/h/day in the rainy period, where the expected produced energy is 5.59 KWh/day. The daily performance ratio drop reaches an average of 6.1%/day and 1.6%/day in the dry and rainy period respectively. During the dry period the soiling ratio reaches an average of 0.35%/day. The MLR method marked the lowest correlation with r(2) = 0.23, this correlation improved to reach r(2) = 0.48 by using the MLRWI method. ANN model shows the best performance and accuracy with r(2) = 0.813 and around 0.026 in the RMSE indicator.
英文关键词	PV soiling Prediction Dust analysis Performance ratio Energy drop Response surface methodology Artificial neural networks
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000603560400004
WOS关键词	ARTIFICIAL NEURAL-NETWORKS ; DUST DEPOSITION ; PARTICLE DEPOSITION ; ENERGY-PRODUCTION ; PV PERFORMANCE ; AIRBORNE DUST ; IMPACT ; EFFICIENCY ; MODULES ; ACCUMULATION
WOS类目	Energy & Fuels ; Materials Science, Multidisciplinary ; Physics, Applied
WOS研究方向	Energy & Fuels ; Materials Science ; Physics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348216
作者单位	[Zitouni, Houssain; Azouzoute, Alae; El Ydrissi, Massaab; Oufadel, Ayoub; Bouaichi, Abdellatif; Ghennioui, Abdellatif] Inst Rech Energie Solaire & Energies Nouvelles IR, Green Energy Pk,Km 2 Route Reg R206, Benguerir, Morocco; [Zitouni, Houssain; Regragui, Mohammed] Univ Mohammed V Rabat, Fac Sci, Ctr Energy, MANAPSE, Rabat 10106, Morocco; [Hajjaj, Charaf] Cadi Ayyad Univ, Higher Sch Technol Essaouira, Lab Appl Sci Environm & Sustainable Dev, BP 383, Essaouira, Morocco; [Polo, Jesus] CIEMAT, Energy Dept, Photovolta Solar Energy Unit, Avda Complutense 40, Madrid 28040, Spain
推荐引用方式 GB/T 7714	Zitouni, Houssain,Azouzoute, Alae,Hajjaj, Charaf,et al. Experimental investigation and modeling of photovoltaic soiling loss as a function of environmental variables: A case study of semi-arid climate[J],2021,221.
APA	Zitouni, Houssain.,Azouzoute, Alae.,Hajjaj, Charaf.,El Ydrissi, Massaab.,Regragui, Mohammed.,...&Ghennioui, Abdellatif.(2021).Experimental investigation and modeling of photovoltaic soiling loss as a function of environmental variables: A case study of semi-arid climate.SOLAR ENERGY MATERIALS AND SOLAR CELLS,221.
MLA	Zitouni, Houssain,et al."Experimental investigation and modeling of photovoltaic soiling loss as a function of environmental variables: A case study of semi-arid climate".SOLAR ENERGY MATERIALS AND SOLAR CELLS 221(2021).