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IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development

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IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development
To realize carbon neutrality,there is an urgent need to develop sustainable,green energy systems(especially solar energy systems)owing to the environmental friendliness of solar energy,given the substantial greenhouse gas emissions from fossil fuel-based power sources.When it comes to the evolution of intelligent green energy systems,Internet of Things(IoT)-based green-smart photovoltaic(PV)systems have been brought into the spotlight owing to their cutting-edge sensing and data-processing technologies.This review is focused on three critical segments of IoT-based green-smart PV systems.First,the climatic parameters and sensing technologies for IoT-based PV systems under extreme weather conditions are presented.Second,the methods for processing data from smart sensors are discussed,in order to realize health monitoring of PV systems under extreme environmental conditions.Third,the smart materials applied to sensors and the insulation materials used in PV backsheets are susceptible to aging,and these materials and their aging phenomena are highlighted in this review.This review also offers new perspectives for optimizing the current international standards for green energy systems using big data from IoT-based smart sensors.

Photovoltaic systemsExtreme climatic conditionsData processingCondition monitoringSmart materials

Yufei Wang、Jia-Wei Zhang、Kaiji Qiang、Runze Han、Xing Zhou、Chen Song、Bin Zhang、Chatchai Putson、Fouad Belhora、Hajjaji Abdelowahed

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School of Electrical Engineering,Xi'an University of Technology,Xi'an 710048,P.R.China

School of Electrical Engineering,Xi'an Jiaotong University,Xi'an 710049,P.R.China

Faculty of Printing,Packing Engineering and Digital Media Technology,Xi'an University of Technology,Xi'an 710054,P.R.China

School of Mechanical,Electrical and Information Engineering,Shandong University,Weihai 264209,P.R.China

Materials Physics Laboratory,Department of Physics,Faculty of Science,Prince of Songkla University(PSU),Songkhla 90112,Thailand

Laboratory of Engineering Sciences for Energy(LabSIPE),National School of Applied Sciences,Chouaib Doukkali University,El Jadida 24000,Morocco

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Photovoltaic systems Extreme climatic conditions Data processing Condition monitoring Smart materials

2024

10.1016/j.gloei.2024.11.006

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CSTPCDEI
ISSN：2096-5117
年,卷(期)：2024.7(6)