公开(公告)号：US20190235453A1

公开(公告)日：2019-08-01

申请号：US16314277

申请日：2017-06-29

Applicant: Johnson Controls Technology Company

Inventor： Robert D. TURNEY ,  Nishith R. PATEL

IPC: G05B15/02 ,  G05B13/04

CPC classification number: G05B15/02 ,  G05B13/048 ,  G05B2219/2642 ,  G06Q10/00 ,  G06Q10/04 ,  G06Q50/06 ,  H02J7/35

Abstract: A variable refrigerant flow (VRF) system for a building includes an outdoor VRF unit, a plurality of indoor VRF units, a battery, and a predictive VRF controller. The outdoor VRF unit includes powered VRF components configured to apply heating or cooling to a refrigerant. The indoor VRF units are configured to use the heated or cooled refrigerant to provide heating or cooling to a plurality of building zones. The battery is configured to store electric energy and discharge the stored electric energy for use in powering the powered VRF components. The predictive VRF controller is configured to optimize a predictive cost function to determine an optimal amount of electric energy to purchase from an energy grid and an optimal amount of electric energy to store in the battery or discharge from the battery for use in powering the powered VRF components at each time step of an optimization period.

公开(公告)号：US20190311332A1

公开(公告)日：2019-10-10

申请号：US16449198

申请日：2019-06-21

Applicant: Johnson Controls Technology Company

Inventor： Robert D. TURNEY ,  Sudhi R. SINHA ,  Masayuki NONAKA ,  Zhizhong PANG ,  Yoshiko WATANABE ,  Mohammad N. ELBSAT ,  Michael J. WENZEL

IPC: G06Q10/00 ,  G06Q10/06 ,  G05B13/04

Abstract: A model predictive maintenance system for building equipment including an equipment controller to operate the building equipment to affect a variable state or condition in a building. The system includes an operational cost predictor to predict a cost of operating the building equipment over a duration of an optimization period, a maintenance cost predictor to predict a cost of performing maintenance on the building equipment, and a cost incentive manager to determine whether any cost incentives are available and, in response to a determination that cost incentives are available, identify the cost incentives. The system includes an objective function optimizer to optimize an objective function to predict a total cost associated with the building equipment over the duration of the optimization period. The objective function includes the predicted cost of operating the building equipment, the predicted cost of performing maintenance on the building equipment, and, if available, the cost incentives.