Author
Listed:
- Mercy Odochi Agho
(Independent Researcher, Portharcourt Nigeria)
- Nsisong Louis Eyo-Udo
(Independent Researcher, Lagos Nigeria)
- Ekene Cynthia Onukwulu
(Kent Business School, University of Kent, UK)
- Aumbur Kwaghter Sule
(Independent Researcher, Abuja, Nigeria)
- Chima Azubuike
(Guaranty Trust Bank (Nigeria) Limited)
Abstract
Digital Twin technology has emerged as a powerful tool for real-time monitoring and optimization in various industries, including the energy sector. By creating a virtual replica of physical assets, processes, or systems, Digital Twins enable real-time data analysis and simulation, offering unprecedented visibility into the operations of energy supply chains. This paper explores the application of Digital Twin technology in enhancing the efficiency, reliability, and sustainability of energy supply chains. Digital Twins integrate data from IoT sensors, machine learning algorithms, and advanced analytics to provide dynamic, real-time insights into the performance of key supply chain components, including production, transportation, storage, and distribution. These virtual models enable predictive maintenance, process optimization, and immediate response to disruptions, significantly reducing downtime and operational costs. The ability to simulate different scenarios and test potential solutions in a virtual environment is particularly beneficial in managing complex and dynamic energy supply chains, which are often subject to fluctuations in demand, supply constraints, and environmental factors. Digital Twins allow energy companies to monitor asset health, optimize inventory, and track logistics in real-time, thereby improving decision-making and operational agility. Additionally, by simulating various operational scenarios, energy companies can identify inefficiencies, enhance resource management, and improve overall supply chain resilience. Furthermore, Digital Twin technology supports sustainability initiatives by enabling energy optimization, waste reduction, and the monitoring of environmental impact in real-time. By providing accurate data on energy usage and emissions, Digital Twins help organizations meet regulatory compliance and sustainability targets more effectively. As the energy sector increasingly embraces digital transformation, Digital Twin technology will play a central role in enabling smart, resilient, and sustainable energy supply chains. This paper discusses the potential benefits, challenges, and future trends of Digital Twin technology in the energy sector, highlighting its transformative impact on supply chain management.
Suggested Citation
Mercy Odochi Agho & Nsisong Louis Eyo-Udo & Ekene Cynthia Onukwulu & Aumbur Kwaghter Sule & Chima Azubuike, 2024.
"Digital Twin Technology for Real-Time Monitoring of Energy Supply Chains,"
International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 9(12), pages 564-592, December.
Handle:
RePEc:bjf:journl:v:9:y:2024:i:12:p:564-592
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