2025, Vol. 6, Issue 2, Part A
Digital twin-enabled data communication framework for energy management systems
Author(s): Lukas Müller and Anna Schmidt
Abstract: The study presents the design and evaluation of a Digital Twin-Enabled Data Communication Framework for Energy Management Systems (DT-EMS) aimed at improving real-time data exchange, communication reliability, and operational efficiency within modern energy infrastructures. Traditional energy management systems often face challenges such as high latency, packet loss, and synchronization delays due to static or unscalable communication protocols. To address these limitations, this research integrates digital twin technology with adaptive data communication layers that leverage MQTT and OPC UA protocols, cloud-based orchestration, and standards-compliant interoperability. The framework was tested under varying network loads and packet sizes using simulation environments based on MATLAB/Simulink and OMNeT++. Comparative performance analysis revealed that the DT-EMS achieved up to 45-60% reduction in latency, a 25-40% increase in throughput, and significant improvements in packet delivery ratio and synchronization accuracy compared to traditional EMS setups. Statistical analysis using paired t-tests confirmed that these enhancements were significant at p < 0.05, validating the hypothesis that digital twin integration can significantly enhance energy communication networks. The results further demonstrated that the framework’s modular and scalable design supports dynamic coordination between physical and virtual layers, offering improved fault detection, predictive control, and adaptive optimization. These findings highlight the practical viability of DT-EMS architectures in advancing smart grid operations, renewable energy integration, and automated power distribution. The proposed model provides a replicable foundation for implementing next-generation, secure, and intelligent energy management infrastructures capable of meeting the evolving demands of digitalized energy ecosystems.
Pages: 57-62 | Views: 174 | Downloads: 61
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How to cite this article:
Lukas Müller, Anna Schmidt. Digital twin-enabled data communication framework for energy management systems. Int J Electr Data Commun 2025;6(2):57-62.
