Air Conditioning Optimization Algorithms = Savings

Given that air conditioning and air handling systems typically account for 40-60% of a buildings electricity costs, air conditioning optimization algorithms have been shown to save 15-40% of cooling energy spend across a variety of implementations.

Given that air conditioning and air handling systems typically account for 40-60% of a buildings electricity costs, this platform has shown to save 15-40% of cooling energy spend across a variety of implementations.This is what we refer to as “The Next Level of Retro-Commissioning” – beyond what a lot of other existing “retro-commissioning” practices claim to do when it comes to improving energy efficiency in chiller systems.

Dynamic Chiller Optimization is taking retro-commissioning to the next level by incorporating dynamic variables that impact energy utilization and load balancing across the entire cooling eco-system within a facility.  The platform has been designed in order to maximize the results and

DOES NOT:

  • Impact the thermostat settings.
  • Have any disruption of operations.
  • Require any new HVAC equipment.
  • Have any upfront capital costs.

 

Benefits

  • Cost Reduction 15% – 40%
  • Low Payback – Under 3 Years
  • Performance Guarantee

 

Key Features

  • Dynamic Chilling Optimization
  • Non-Intrusive Implementation
  • Remote Monitoring
  • Flexible BMS or HMI Interface Integration
  • Automated Response System

 

This “clean-tech solution” is ideally suited toward facilities that have large central cooling systems with a chilled water loop and installed chiller capacity of over 200 tons, as these types of environments can greatly benefit from this optimization. For more information visit -  http://asgenergyllc.com/ecore/ 

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