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Digital Twins Transform Energy Infrastructure Maintenance and Resilience

Digital Twins Transform Energy Infrastructure Maintenance and Resilience

⚡ AI Executive Summary

Digital twin technology—which integrates building information modeling, IoT sensors, and artificial intelligence—is emerging as a key tool for energy operators to anticipate equipment failures, streamline maintenance workflows, and bolster grid resilience. This approach enables real-time monitoring and predictive analytics across generation, transmission, and distribution assets. For power systems professionals, digital twins represent a shift toward proactive asset management rather than reactive repairs, potentially reducing downtime and operational costs. The technology also supports decarbonization efforts by optimizing the performance of renewable assets and battery storage systems. However, successful implementation requires robust data governance, cybersecurity protocols, and integration with legacy control systems—challenges that utilities must address to fully unlock the business case and grid reliability benefits.

This is a brief summary of reporting originally published by Power Technology. Read the full article for the complete story:

Read the full story at Power Technology ↗
#digital twins#predictive maintenance#IoT sensors#grid resilience#asset management#infrastructure optimization#renewable integration
Original source: Power Technology ↗

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