TowerPulse™ | Cooling Analytics
Our TowerPulse™ platform enables real-time monitoring of evaporative cooling towers for optimization, issue identification, preventative maintenance, and asset management. It includes a set of wireless sensors specifically designed for cooling towers and best-in-class physics-informed machine learning algorithms that leverage advanced simulations and thousands of hours of operating data. With TowerPulse™, you will have all the cooling expertise you need at your fingertips.
REAL TIME MONITORING
PERFORMANCE METRICS
ANOMALY DETECTION
ACTIONABLE RECOMMENDATIONS
Key Benefits
Higher Process Effeciency
Cooling tower performance has a direct impact on the efficiency of the process they feed, whether it be a chiller, a steam condenser, or a heat exchanger. TowerPulse™ identifies avenues for higher cooling capability and lower water temperatures and provides actionable changes to implement efficiency gains. Customers can significantly increase their production and efficiency.
Sustainable Operations
Cooling is a major consumer of water and energy. TowerPulse™ measures key metrics for cooling efficiency and uses advanced algorithms to identify interventions to decrease water and energy consumption through optimized operational profiles and equipment upgrades. Savings are measured and displayed in intuitive sustainability reports that quantify impact and cost savings.
Reduced Maintenance
TowerPulse™ enables a shift from time-based to condition-based maintenance. Algorithms detect early signs of degradation and send alerts so that potential issues are addressed early, at low cost, and without causing unplanned outages. Maintenance of fans, pumps, fills, nozzles, drift eliminators, and other parts can be managed to ensure optimal performance.
ANNUAL IMPACT
For a 250 MW Steam Turbine
7500 MWh
Extra Power Generation
15 M Gal
Water Saved
5000 Tons
CO2 Emissions Avoided
$500K
Increased Profit
How it works
The TowerPulse™ solution includes sensors, data acquisition and transmission, and a web dashboard that displays results from our AI-powered software.
01
Monitor
Sensors include temperature, flowrate, humidity, and pressure sensors that are designed for optimal performance in cooling tower environments. Data transmission is wireless and avoids electrical wiring costs. Our algorithms take the raw data and apply physics-informed machine learning models that have been trained on expert knowledge and thousands of hours of operation.
02
Diagnose
These models identify any actual or predicted deviation from optimal performance, quantify its impact, and provide actionable recommendations based on a proprietary knowledge database.
03
Enhance & Optimize
Users can access a web dashboard that displays main metrics, performance impacts, recommendations, alerts, and quantitative sustainability impact reports.