AI Cooling Tower Optimization
The Problem
“Cut cooling-tower energy and water waste”
Organizations face these key challenges:
Operators lack real-time visibility into tower efficiency drivers (wet-bulb, approach, recirculation, fouling) and default to conservative fan and blowdown settings
High variability in ambient conditions and plant load makes manual tuning unreliable; changes are reactive and often too late to prevent backpressure-driven efficiency loss or derates
Water-chemistry control and cycles of concentration are difficult to balance, leading to excess blowdown/chemicals or increased scaling, corrosion, and biofouling risk
Impact When Solved
Real-World Use Cases
AI for Optimizing Power Plant Operations
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Heat Rate Optimization for Power Plants
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