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Predictive Cost Optimization Using Model Predictive Control

08-11-2017 10:20

Summary

Summarizes the Stanford Energy System Innovation (SESI) sustainability project. SESI was designed to meet energy needs of the Stanford campus through at least 2050. After four years of planning and three years of construction the facility came online in 2015. This presentation relates the story and emphasizes benefits of controls and metering in cost savings. 

Speaker

Jim Kummer, Johnson Controls



#California #JohnsonControls #DemandSideManagement #UnitedStates #NorthAmerica #FuelFlexibility #GridModernization #2016 #ConferenceProceeding #CampusEnergyConference #StanfordUniversity #MeteringandControls

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Predictive Cost Optimization Using Model Predictive Control   2.28MB   1 version
Uploaded - 08-11-2017
Jim Kummer, Johnson Controls