Power Plants
Smarter. Safer. More Profitable Generation.
Thermal power plants today operate under intense pressure. Rising fuel costs. Renewable integration. Aging infrastructure. Grid flexibility demands. Stricter emission regulations. Shrinking margins.
Optimization is no longer optional; it is essential.
Our solution seamlessly aggregates and integrates decentralized generation assets, flexible loads, and energy storage systems into a unified Virtual Power Plant (VPP). By combining real-time monitoring, coordinated control, and advanced optimization, it enables cost-effective, market-ready, and scalable energy operations.
Proven Results
Through fuel optimization, auxiliary load reduction, and economic dispatch
Steam system efficiency improvement with ROI typically under one year
Lower CO₂ intensity, optimized NOx/SOx control, reduced fuel waste
Early detection of equipment degradation, improved operational stability
Why It Matters
Optimize fuel use up to 5%, reduce inefficiencies, and improve dispatch economics.
Maximize revenue through intelligent ancillary service allocation and market-ready scheduling.
Predict failures early, reduce downtime, and stabilize operations.
Lower carbon intensity while maintaining profitability.
Flexible architecture supports hybrid plants, storage, and distributed energy integration.
Industry Challenges
Obsolete DCS and fragmented PLC environments Manual operator interventions Degraded heat rate performance Increasing forced outages
Higher fuel consumption, lower availability, and rising maintenance costs.
Combustion inefficiencies Suboptimal boiler-turbine coordination Excess auxiliary power consumption Poor condenser and cooling performance Part-load inefficiencies due to renewable penetration
Escalating fuel costs and declining generation margins.
Frequent load cycling Faster ramp rate requirements Frequency and voltage support obligations Hybrid plant coordination (solar, wind, storage)
Increased thermal stress, asset wear, and operational complexity.
Turbine vibration and imbalance Boiler tube leak risks Transformer and generator degradation Pump and fan failures
Unplanned downtime, safety risks, and revenue loss.
Emission limits (NOx, SOx, CO₂) Carbon intensity tracking Water consumption optimization Regulatory audits and reporting
Compliance risk and decarbonization pressure.
Massive volumes of process data No real-time economic optimization Reactive troubleshooting Limited predictive intelligence
Hidden inefficiencies and missed cost-saving opportunities.
Platform Coverage
Every operational challenge in your plant maps to one or more modules in the AhilyaSoft platform.
| Challenge | APC / RTO | EMS | MES / PPMS | LIMS | APM | AI / AASP |
|---|---|---|---|---|---|---|
01Heat Rate Improvement | ||||||
02Fuel Optimization | ||||||
03Boiler Stability | ||||||
04Emission Compliance | ||||||
05Plant Load Optimization | ||||||
06Unplanned Downtime | ||||||
07Asset Degradation | ||||||
08Efficiency Loss |
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| Challenge | APC / RTO | EMS | MES / PPMS | LIMS | APM | AI / AASP |
|---|---|---|---|---|---|---|
01Heat Rate Improvement | ||||||
02Fuel Optimization | ||||||
03Boiler Stability | ||||||
04Emission Compliance | ||||||
05Plant Load Optimization | ||||||
06Unplanned Downtime | ||||||
07Asset Degradation | ||||||
08Efficiency Loss |
AI & ML Control Targets
At the core of our optimization lies multivariable predictive control enhanced with AI, applied across every unit of the complex.
Optimize combustion efficiency
Minimize NOx and SOx emissions
Maintain steam parameters (pressure, temperature)
Optimize excess air and O2 control
Maximize turbine efficiency
Optimize load dispatch across units
Minimize heat rate degradation
Coordinate with grid frequency requirements
Optimize header pressure control
Balance extraction vs condensing operation
Minimize auxiliary steam consumption
Coordinate with process heat demands
Optimize fan and pump loading
Minimize auxiliary power consumption
Coordinate FD, ID, PA fan operation
Optimize BFP and CEP efficiency
India & Global
Coal-based thermal power still accounts for over 70% of India's electricity generation. Efficiency, emissions, and asset life optimization are critical priorities.
A 1% heat rate improvement = ₹8–12 Cr annual savings per 500 MW unit.
Our AI-driven combustion and steam optimization delivers 1.5–3% efficiency uplift with proven payback in under 12 months.