AI for India's CleanTech & Waste-to-Energy Sector
India generates 62 million tonnes of municipal solid waste annually. Converting that waste stream into energy requires intelligent process control, emissions compliance, and feedstock management — all powered by AI. MNB Research builds these systems.
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CleanTech AI Applications
Feedstock Quality AI
Near-infrared spectroscopy + ML to characterise incoming waste streams for calorific value, moisture, and composition — optimising combustion parameters.
Combustion Optimisation
AI control of boiler parameters (air-fuel ratio, grate speed, steam temperature) to maximise energy yield while minimising NOx and SOx emissions.
Emissions Compliance
Real-time AI monitoring of stack emissions against CPCB/SPCB limits, with automated alerts and compliance reporting for regulatory submissions.
Predictive Maintenance
AI monitoring of boilers, turbines, and flue gas treatment systems — predicting equipment degradation before unplanned shutdowns occur.
Case Study — WTE Plant Achieves 12% Energy Yield Improvement
A municipal waste-to-energy plant deployed MNB Research's combustion AI and feedstock quality system — improving electrical output by 12% with no additional feedstock and achieving consistent CPCB compliance.