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Power plants face downtime, high fuel consumption, poor heat rate, and operational instability. Inefficiency arises from combustion losses, auxiliary power wastage, enthalpy loss, and leakages. AI-driven data collection provides diagnostics and prescriptive analytics for operations and maintenance.
Continuous monitoring of boilers, turbines, condensers, cooling towers, BFPs, and heat exchangers.
Automated identification of efficiency losses, anomalies, and root causes.
Prescriptive insights enabling proactive operations and maintenance actions.
Quantified improvements in fuel efficiency, heat rate, and plant stability
Core analytical capabilities driving continuous heat-rate optimization
Distinct strengths enabling successful AI-driven power plant optimization.
The project integrated boiler combustion data and thermal cycle parameters for a 21 MW power plant at one of India’s largest pulp and paper mills. This system digitized the monitoring of NHR, LOI, and auxiliary power, creating a unified system of records for enterprise-grade efficiency tracking. The solution provided real-time prescriptive analytics to optimize the heat rate and stabilize operations across the facility.
ROI Achieved in Under 6 Months: The system paid for itself rapidly through significant fuel savings and improved process stability.
4% Coal Consumption Reduction: AI-driven combustion insights revealed substantial potential for reducing daily coal requirements.
Boosted Operations Productivity: Automated decision-making and analytics allowed the team to focus on high-value corrective actions.
Gain complete control over your energy and utility footprint. Our platform provides the intelligence to monitor patterns, eliminate waste, and drive significant bottom-line savings facility-wide.
