Machine learning software increases cooling system optimization

@machinelearnbot 

SEATTLE, February 11, 2015 – Optimum Energy, the leading provider of data-driven cooling and heating optimization solutions for enterprise facilities, today introduced OptiCxTM Dynamic Sequencing, a software optimization tool that learns how chillers perform over time in a variety of operating conditions, and uses this data to improve the overall plant efficiency by determining the most efficient chiller to run. "The OptiCx Platform is an award-winning approach with a growing base of committed customers, and now, with Dynamic Sequencing, it's taking a big step forward," said Ian Dempster, Optimum Energy's Senior Director of Product Innovation. "When combined with OptimumLOOP, this is the most powerful chiller optimization solution available, offering substantial reductions in energy and water use." Available as an add-on for customers with a subscription to the OptiCx PlatformTM, Dynamic Sequencing works in conjunction with OptimumLOOPTM, an operational module in the OptiCx Platform. OptimumLOOP uses relational control algorithms to determine operating setpoints and parameters to turn on or off an additional chiller in a plant.

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