智能电网
可再生能源
持续性
高效能源利用
预测性维护
计算机科学
能源管理
风险分析(工程)
环境经济学
系统工程
过程管理
工程类
业务
可靠性工程
能量(信号处理)
经济
生态学
统计
数学
电气工程
生物
作者
Chinedu Alex Ezeigweneme,Chinedu Nnamdi Nwasike,Adedayo Adefemi,Abimbola Oluwatoyin Adegbite,Joachim Osheyor Gidiagba
出处
期刊:Engineering science & tecnology journal
[Fair East Publishers]
日期:2024-01-15
卷期号:5 (1): 1-20
标识
DOI:10.51594/estj.v5i1.719
摘要
This study provides a comprehensive analysis of the integration and impact of smart grids in the industrial sector, focusing on the evolution from traditional grids, the role of predictive maintenance, and the integration of renewable energy sources. The primary objectives were to understand how smart grids are reshaping industrial energy management and to assess their impact on efficiency, sustainability, and operational practices. A systematic literature review was employed as the methodology, utilizing electronic databases and academic journals to gather relevant literature from 2018 to 2023. The search strategy involved keywords related to smart grids, predictive maintenance, and renewable energy integration. Inclusion and exclusion criteria were established to ensure the relevance of the selected literature, which was then thematically synthesized to identify key trends and insights. Key findings indicate that smart grids mark a significant shift in energy management, offering enhanced efficiency, reliability, and sustainability. The integration of renewable energy sources addresses challenges like intermittency, contributing to environmental sustainability. Predictive maintenance within smart grids has emerged as a crucial strategy for improving operational efficiency and reducing maintenance costs. The study also highlights the economic and environmental impacts of smart grid technologies, underscoring their potential in promoting sustainable industrial practices. Finally, smart grids represent a pivotal advancement in industrial energy management. The study recommends continued innovation and strategic implementation to realize their full potential, with future research focusing on AI applications, emerging renewable sources, and policy frameworks in smart grid technologies.
Keywords: Smart Grids, Predictive Maintenance, Renewable Energy, Industrial Efficiency.
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