Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Smart Grid Pub Date : 2022-11-20 DOI:10.1049/stg2.12095
Mohammad Ghiasi, Zhanle Wang, Mehran Mehrandezh, Shayan Jalilian, Noradin Ghadimi
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引用次数: 65

Abstract

To achieve low-carbon sustainable energy development, new technologies such as Internet of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy generations via smart grids (SG) are gaining attention. The interoperability between intelligent energy systems, realised through the web, enables automatic consumption optimisation and increases network efficiency and intelligent management. IoE is an intriguing topic in close connection with the IoT, communication systems, SG and electrical mobility that contributes to energy efficiency to achieve zero-carbon technologies and green environments. Furthermore, nowadays, the widespread growth and utilisation of processors for mining digital currency in homes and small warehouses are some other factors to be considered in terms of electric energy consumption and greenhouse gas emission. However, research on the use of the Internet for evaluating the misallocation of energy and the effect it can have on CO2 emissions is often neglected. In this study, the authors present a detailed overview regarding the evolution of SG in conjunction with the employment of IoE systems as well as the essential components of IoE for decarbonisation. Also, mathematical models with simulation are provided to evaluate the role of IoE in reducing CO2 emission.

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智能电网向能源互联网的演变:深度脱碳的概念和基本组成部分
为实现低碳可持续能源发展,能源互联网(IoE)、智能系统、物联网(IoT)等新技术以及通过智能电网(SG)实现的分布式能源发电日益受到关注。通过网络实现智能能源系统之间的互操作性,实现自动消费优化,提高网络效率和智能管理。物联网是一个有趣的话题,与物联网、通信系统、SG和电动交通密切相关,有助于提高能源效率,实现零碳技术和绿色环境。此外,如今,在家庭和小仓库中挖掘数字货币的处理器的广泛增长和使用是电力能源消耗和温室气体排放方面需要考虑的其他一些因素。然而,利用互联网来评估能源分配不当及其对二氧化碳排放的影响的研究往往被忽视。在本研究中,作者详细概述了SG的发展与IoE系统的使用以及IoE脱碳的基本组成部分。此外,本文还建立了具有模拟的数学模型来评价IoE在减少CO2排放中的作用。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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