基于物联网的绿色智能光伏系统在极端气候条件下实现能源可持续发展

IF 1.9 Q4 ENERGY & FUELS
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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引用次数: 0

摘要

为了实现碳中和,由于太阳能的环境友好性,迫切需要开发可持续的绿色能源系统(特别是太阳能系统),因为基于化石燃料的能源排放大量温室气体。当谈到智能绿色能源系统的发展时,基于物联网(IoT)的绿色智能光伏(PV)系统由于其尖端的传感和数据处理技术而引起了人们的关注。本文重点介绍了基于物联网的绿色智能光伏系统的三个关键部分。首先,介绍了极端天气条件下物联网光伏系统的气候参数和传感技术。其次,讨论了智能传感器数据的处理方法,以实现光伏系统在极端环境条件下的健康监测。第三,用于传感器的智能材料和用于光伏背板的绝缘材料容易老化,本文重点介绍了这些材料及其老化现象。本文还为利用基于物联网的智能传感器的大数据优化绿色能源系统的现行国际标准提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
Global Energy Interconnection
Global Energy Interconnection Engineering-Automotive Engineering
CiteScore
5.70
自引率
0.00%
发文量
985
审稿时长
15 weeks
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