| Project ID |
BITS-SRIP/1A4A6B/2026 |
| Project Title |
Digital Twinning of an Energy Network |
| Project Description |
Digital Twinning of an energy network involves creating a high-fidelity virtual replica of physical power system assets—including generation units, distribution networks, storage systems, and loads—that continuously synchronizes with real-time operational data. By integrating sensing, communication, data analytics, and simulation platforms, the digital twin enables real-time monitoring, predictive analysis, and intelligent decision-making across the energy value chain. This approach supports proactive system management, efficient integration of renewable energy sources, and optimized operation of complex, distributed energy networks.
The expected outcomes include improved system reliability through early fault detection and predictive maintenance, enhanced operational efficiency via real-time optimization of power flows, and better planning of renewable and storage deployment. Digital twins are also expected to enable scenario-based analysis for demand growth, electrification, and extreme events, thereby strengthening grid resilience. Overall, the implementation of digital twinning will provide utilities, operators, and policymakers with a powerful tool to accelerate the transition toward low-carbon, flexible, and Net-Zero-compliant energy systems. |
| Project Discipline |
EEE, Instrumentation, CSIS and ECE |
| Faculty Name |
HITESH DATT MATHUR |
| Department |
Department of Electrical & Electronics Engineering |
