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This presentation will discuss the impact of poorly maintained AHU coils on the overall HVAC system. Until recently, established methods for determining coil fouling were based on either differential pressure testing or visual inspection (NADCA), and neither method accurately quantifies the actual coil fouling level.
Here, we will introduce a new coil monitoring technology that combines modern AI machine learning algorithms with traditional HVAC thermodynamic models to determine the true “Coil Fouling Level”, offering visibility into building HVAC energy consumption and operational coil capacity to help drive energy efficiency.
1. Drive awareness of the impact of fouled AHU coils and the significant energy-saving opportunities that exist through high performance cleaning methods.
2. How an AI machine learning based coil monitoring technology allows us to quantify coil fouling far more accurately than traditional methodologies.
3. How Coil Monitoring Technology allows you to minimize operating costs and maintenance costs for AHU coils cleaned at the optimal service intervals.
Since 2008, Mike Bodon has served as President and CEO of AQUIS, the nationwide leaders in air handler renewal. An alumnus of the College of Engineering at Rutgers University with a BS in Mechanical Engineering, Mike began his career with GE Plastics and later served as Director of Engineering for CHEP, a leading international supply chain management company. In early 2004, Mike and a colleague from GE Plastics were approached and asked to develop a fire code-compliant solution for the refurbishment of mechanical air handling units. Successful pioneering soon led to the formation of AQUIS, which has grown exponentially over the past 18 years largely through Mike’s leadership and vision, and whose customers include many of the nation’s top hospitals, universities, government organizations, and Fortune 500 companies. Mike is a native of New Jersey and has lived in Orlando with his wife and three children since 2000.
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Chattanooga, TN | October 27-31