Contact UsContact UsMaximize mineral recovery and ensure asset reliability with RISHI. Turn complex ore and process data into actionable guidance to minimize throughput losses and optimize reagent efficiency.
Book a Consultation CallPower generation operates under constant pressure to balance power plant optimization, reliability, and grid commitments. Load demand fluctuates, fuel quality varies, ambient conditions shift, and equipment performance degrades over time. Even minor deviations in combustion tuning, heat balance, steam quality, or cooling performance can quickly lead to heat rate deterioration, higher fuel costs, or emissions excursions.
Although modern plants generate massive volumes of operational, environmental, and asset data, actionable insight during instability is often delayed. During load changes, startups, shutdowns, or equipment degradation, teams are forced into reactive decision-making, raising the risk of forced outages, conservative derates, and avoidable efficiency losses. Sustained performance requires early visibility, shared operational context, and emissions compliance software that enables confident, real-time decisions across every shift and operating condition.
RISHI shifts power plant operations from intuition-driven reactions to explainable, evidence-based decision-making:
Operators often react to single symptoms such as rising heat rate, unstable combustion, or condenser pressure drift. RISHI correlates boiler, turbine, balance-of-plant, emissions, and asset health data to reveal system-level behavior. The Benefit: Teams understand why performance degradation is occurring, enabling precise, high-impact corrective actions.
Power generation teams achieve measurable gains in efficiency, reliability, and regulatory confidence:
Reduces time spent diagnosing heat rate degradation, combustion instability, and balance-of-plant constraints during load changes.
Achieved through tighter combustion control, optimized steam conditions, and early detection of performance drift.
By identifying early warning patterns in critical assets such as boilers, turbines, mills, and cooling systems.
Supports stable compliance by preventing excursions during startups, shutdowns, and transient operations.
Driving reliability, efficiency, and emissions control through intelligent operational decision support
Intelligent Decision Support for Optimized Power Generation Stability and Efficiency.
Performance systems tell you that you are losing efficiency; RISHI tells you why and how to fix it. RISHI adds a diagnostic layer using Fault-Tree logic and simulation to recommend validated actions.
Yes. RISHI monitors the thermal stresses associated with frequent ramping and guides to minimize fatigue while meeting grid demands.
No. It is a force multiplier that saves engineers 5–8 hours per week on data collection and manual RCA, allowing them to focus on long-term asset strategy.
By detecting "hidden" degradation (like early tube leaks or bearing wear) days or weeks in advance, it allows for planned maintenance instead of emergency trips.
No. RISHI’s logic is fully transparent and built on engineering principles. Every recommendation can be reviewed and validated by your technical team before implementation.
Most plants see payback within months. Avoiding just one forced outage or improving the heat rate by 1% can provide significant financial returns and enhance grid stability.
See how RISHI helps teams detect issues early, diagnose faster, and make confident operational decisions. It turns complex process behavior into clear, actionable guidance to resolve unit upsets and slow degradation.
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