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.

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Publication Details

Journal
Global Energy Interconnection
Published
2024-12-01
DOI
https://doi.org/10.1016/j.gloei.2024.11.006
Citations
11
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
1.86

Funders

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article

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

Chatchai Putson, Fouad Belhora, Xing Zhou, Yufei Wang et al.
11 citations
Global Energy Interconnection
Power Systems and Renewable Energy
1.86
article

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

Chatchai Putson, Fouad Belhora, Xing Zhou, Yufei Wang, Bin Zhang, Chen Lu Song, Hajjaji Abdelowahed, Rong-Ying Han, Kaiji Qiang, Jiawei Zhang
article en
11 citations

Abstract

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.

Global Energy InterconnectionVol. 7(6)
Prince of Songkla University (TH), Shandong University (CN), Chouaib Doukkali University (MA), Xi'an University of Technology (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China
Openalex Percentile: Top 15%
Power Systems and Renewable Energy
1.86
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