AI deployment strategy defines Power plant digitalization India
UPRVUNL's AI-CMS/DARPAN procurement provides an important indicator of how Power plant digitalization India is evolving. The utility is pursuing AI-enabled performance monitoring and optimization while maintaining strict limits on autonomous operational control.
The project combines centralized monitoring, analytics deployment, industrial IT/OT integration, hardware infrastructure and five years of post-commissioning support. Unlike conventional software contracts, the selected vendor will also be responsible for system sizing, data assessment and implementation readiness activities.
A particularly notable aspect is the clarification that AI recommendations will remain advisory. UPRVUNL has explicitly ruled out closed-loop control functions, ensuring that operational decisions remain with plant personnel. This reflects a broader industry trend within AI in thermal power plants where utilities seek enhanced visibility without transferring operational authority to algorithms.
The Rs 1.60 crore EMD requirement remains another defining feature. By maintaining a substantial entry barrier, the utility has signaled a preference for execution certainty and financial capability over maximum bidder participation.
Multiple bid extensions further indicate the complexity of combining cybersecurity, analytics, infrastructure and operational requirements into a single solution. Such characteristics are increasingly common across Utility digital transformation initiatives.
EnergylineIndia.com observes that Power plant digitalization India is moving toward integrated operational-intelligence platforms. As utilities invest in Power generation analytics, Power plant digitalization India and Power plant digitalization India are expected to remain important themes across the generation sector.
