Digital twin technology for renewable energy microgrids

Kelvin Edem Bassey, Jesse Opoku-Boateng, Bernard Owusu Antwi, Afari Ntiakoh, Ayanwunmi Rebecca Juliet
{"title":"Digital twin technology for renewable energy microgrids","authors":"Kelvin Edem Bassey, Jesse Opoku-Boateng, Bernard Owusu Antwi, Afari Ntiakoh, Ayanwunmi Rebecca Juliet","doi":"10.51594/estj.v5i7.1319","DOIUrl":null,"url":null,"abstract":"Digital Twin Technology (DTT) is an emerging innovation poised to revolutionize the management and optimization of renewable energy microgrids. A digital twin is a virtual replica of a physical system, integrating real-time data, simulations, and machine learning to provide a dynamic, interactive model of the actual environment. In the context of renewable energy microgrids, DTT offers significant benefits in efficiency, reliability, and sustainability. Renewable energy microgrids, which include solar panels, wind turbines, and energy storage systems, are complex networks that require precise management to balance supply and demand, maximize energy efficiency, and ensure stability. By creating a digital twin of these microgrids, operators can monitor real-time performance, predict potential failures, and optimize operations. This virtual model enables predictive maintenance, reducing downtime and extending the lifespan of equipment by identifying issues before they lead to critical failures. Furthermore, DTT facilitates advanced energy management strategies. Through simulations, it can evaluate various scenarios, such as fluctuating energy demands, changing weather conditions, and equipment performance variations. These simulations help in designing robust control strategies and improving the integration of renewable energy sources, leading to better energy storage utilization and reduced reliance on fossil fuels. Another critical advantage is the enhancement of grid resilience. Digital twins can simulate the impact of extreme weather events and other disruptions, allowing operators to develop and test contingency plans in a risk-free environment. This capability is vital for ensuring continuous energy supply and mitigating the effects of unexpected outages. Digital Twin Technology offers a transformative approach to managing renewable energy microgrids. By providing a comprehensive, real-time virtual model, DTT enhances operational efficiency, predictive maintenance, energy management, and grid resilience. As the renewable energy sector continues to grow, the integration of digital twins will be instrumental in optimizing the performance and sustainability of microgrid systems. \nKeywords: Digital Twin, Renewable, Energy, Microgrids.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"114 51","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Science & Technology Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51594/estj.v5i7.1319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Digital Twin Technology (DTT) is an emerging innovation poised to revolutionize the management and optimization of renewable energy microgrids. A digital twin is a virtual replica of a physical system, integrating real-time data, simulations, and machine learning to provide a dynamic, interactive model of the actual environment. In the context of renewable energy microgrids, DTT offers significant benefits in efficiency, reliability, and sustainability. Renewable energy microgrids, which include solar panels, wind turbines, and energy storage systems, are complex networks that require precise management to balance supply and demand, maximize energy efficiency, and ensure stability. By creating a digital twin of these microgrids, operators can monitor real-time performance, predict potential failures, and optimize operations. This virtual model enables predictive maintenance, reducing downtime and extending the lifespan of equipment by identifying issues before they lead to critical failures. Furthermore, DTT facilitates advanced energy management strategies. Through simulations, it can evaluate various scenarios, such as fluctuating energy demands, changing weather conditions, and equipment performance variations. These simulations help in designing robust control strategies and improving the integration of renewable energy sources, leading to better energy storage utilization and reduced reliance on fossil fuels. Another critical advantage is the enhancement of grid resilience. Digital twins can simulate the impact of extreme weather events and other disruptions, allowing operators to develop and test contingency plans in a risk-free environment. This capability is vital for ensuring continuous energy supply and mitigating the effects of unexpected outages. Digital Twin Technology offers a transformative approach to managing renewable energy microgrids. By providing a comprehensive, real-time virtual model, DTT enhances operational efficiency, predictive maintenance, energy management, and grid resilience. As the renewable energy sector continues to grow, the integration of digital twins will be instrumental in optimizing the performance and sustainability of microgrid systems. Keywords: Digital Twin, Renewable, Energy, Microgrids.
可再生能源微电网的数字孪生技术
数字孪生技术(DTT)是一种新兴的创新技术,有望彻底改变可再生能源微电网的管理和优化。数字孪生系统是物理系统的虚拟复制品,它集成了实时数据、模拟和机器学习,为实际环境提供了一个动态的交互模型。就可再生能源微电网而言,数字孪生技术在效率、可靠性和可持续性方面具有显著优势。可再生能源微电网(包括太阳能电池板、风力涡轮机和储能系统)是一个复杂的网络,需要精确的管理来平衡供需、最大限度地提高能源效率并确保稳定性。通过创建这些微电网的数字孪生模型,运营商可以监控实时性能、预测潜在故障并优化运营。这种虚拟模型可实现预测性维护,在设备出现严重故障之前发现问题,从而减少停机时间,延长设备使用寿命。此外,DTT 还有助于制定先进的能源管理战略。通过模拟,它可以评估各种情况,如能源需求波动、天气条件变化和设备性能变化。这些模拟有助于设计稳健的控制策略,提高可再生能源的集成度,从而更好地利用能源储存,减少对化石燃料的依赖。另一个关键优势是提高电网的恢复能力。数字孪生可以模拟极端天气事件和其他干扰的影响,使运营商能够在无风险的环境中制定和测试应急计划。这种能力对于确保持续能源供应和减轻意外停电的影响至关重要。数字孪生技术为管理可再生能源微电网提供了一种变革性方法。通过提供全面、实时的虚拟模型,数字孪生技术提高了运营效率、预测性维护、能源管理和电网恢复能力。随着可再生能源行业的不断发展,数字孪生技术的集成将有助于优化微电网系统的性能和可持续性。关键词数字孪生 可再生能源 微电网
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信