Date: April 30, 2016

A scalable low-cost optimal chiller plant control algorithm was developed and effectively demonstrated with 128 case studies covering a variety of chiller plant load variations with each case being a weekly simulation of whole-building dynamic HVAC system models with closed loop local controls and supervisory chiller plant controls. Model-in-the-loop (MiL) analysis suggests a promising average energy saving of ~15% for medium office buildings and an average energy saving of ~10% for large hotel buildings.