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AI Monitoring for Cooling Tower Efficiency by yogesh.patidar is a document available to read on EtoBox.

What is AI Monitoring for Cooling Tower Efficiency about?

This report outlines an AI-based framework for monitoring and optimizing cooling tower efficiency, incorporating key performance indicators, an alarm matrix, and root cause analysis. It emphasizes the importance of preventive maintenance and integrates ASHRAE guidelines to validate its methods. The framework aims to enhance operational efficiency and reduce costs through predictive maintenance and real-time monitoring strategies.

Author

yogesh.patidar

Language

EN