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    CONTROL SYSTEM WITH INCENTIVE-BASED CONTROL OF BUILDING EQUIPMENT
    4.
    发明申请
    CONTROL SYSTEM WITH INCENTIVE-BASED CONTROL OF BUILDING EQUIPMENT 有权

    公开(公告)号：US20220092500A1

    公开(公告)日：2022-03-24

    申请号：US17542184

    申请日：2021-12-03

    Applicant: Johnson Controls Technology Company

    Inventor： Kirk H. Drees ,  Michael J. Wenzel ,  Robert D. Turney

    IPC: G06Q10/06 ,  H02J3/14 ,  H02J3/32 ,  H02J15/00 ,  G05B13/02 ,  G05F1/66 ,  G06Q30/02 ,  G06Q50/06

    Abstract: A control system includes building equipment configured to consume electrical energy and generate thermal energy, electrical energy storage configured to store and discharge electrical energy, and a controller. The controller is configured to determine, for a plurality of time steps within a time horizon, an amount of electrical energy to store in the electrical energy storage or discharge from the electrical energy storage using a value function. The value function includes an expected revenue from participating in an incentive-based demand response (IBDR) program, an expected cost of participating in the IBDR program, and a penalty cost based on an amount by which a predicted output of the building equipment or the electrical energy storage changes between time steps within the time horizon. The controller is configured to control the electrical energy storage to store or discharge the amount of electrical energy determined using the value function.

    Building HVAC system with predictive temperature and humidity control
    5.
    发明授权
    Building HVAC system with predictive temperature and humidity control 有权

    公开(公告)号：US11193689B2

    公开(公告)日：2021-12-07

    申请号：US16441988

    申请日：2019-06-14

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Liming Yang ,  Yunrui Wang

    IPC: F24F11/63 ,  F24F11/80 ,  F24F11/67 ,  F24F110/20 ,  F24F120/10 ,  F24F110/10

    Abstract: A predictive heating system for a building zone includes building equipment, a temperature sensor, a humidity sensor, and a predictive heating controller. The building equipment is operable to affect an environmental condition of the building zone in a heating mode of operation and a cooling mode of operation. The temperature sensor is configured to measure a temperature of the building zone. The humidity sensor is configured to measure humidify of the building zone. The predictive heating controller is configured to predict an occupancy time of the building zone over a future time period, determine a dehumidification time period before the occupancy time of the building zone, determine a heating time period before the occupancy time of the building zone, operate the building equipment to dehumidify the building zone over the dehumidification time period, and operate the building equipment to heat the building zone over the heating time period.

    MODEL PREDICTIVE MAINTENANCE SYSTEM FOR BUILDING EQUIPMENT
    6.
    发明申请
    MODEL PREDICTIVE MAINTENANCE SYSTEM FOR BUILDING EQUIPMENT 有权

    公开(公告)号：US20210223767A1

    公开(公告)日：2021-07-22

    申请号：US17136307

    申请日：2020-12-29

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Sudhi R. Sinha

    IPC: G05B23/02 ,  G06Q10/00 ,  G06Q30/02

    Abstract: A model predictive maintenance (MPM) system for building equipment includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period, a maintenance cost predictor configured to predict a cost of performing maintenance on the building equipment over the duration of the optimization period, and an objective function optimizer configured 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 and the predicted cost of performing maintenance on the building equipment. The MPM system includes an equipment controller configured to operate the building equipment to affect a variable state or condition in a building in accordance with values of one or more decision variables obtained by optimizing the objective function.

    HIGH LEVEL CENTRAL PLANT OPTIMIZATION
    8.
    发明申请
    HIGH LEVEL CENTRAL PLANT OPTIMIZATION 有权

    公开(公告)号：US20210132586A1

    公开(公告)日：2021-05-06

    申请号：US17148123

    申请日：2021-01-13

    Applicant: Johnson Controls Technology Company

    Inventor： Michael J. Wenzel ,  Robert D. Turney ,  Kirk H. Drees ,  Matthew J. Asmus

    IPC: G05B19/418 ,  G05B15/02 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q50/06 ,  G06N20/00 ,  G05B13/04

    Abstract: A controller for equipment that operate to provide heating or cooling to a building or campus includes a processing circuit configured to obtain utility rate data indicating a price of resources consumed by the equipment to serve energy loads of the building or campus, obtain an objective function that expresses a total monetary cost of operating the equipment over an optimization period as a function of the utility rate data and an amount of the resources consumed by the equipment, determine a relationship between resource consumption and load production of the equipment, optimize the objective function over the optimization subject to a constraint based on the relationship between the resource consumption and the load production of the equipment to determine a distribution of the load production across the equipment, and operate the equipment to achieve the distribution.

    Building energy storage system with multiple demand charge cost optimization
    9.
    发明授权
    Building energy storage system with multiple demand charge cost optimization 有权

    公开(公告)号：US10909642B2

    公开(公告)日：2021-02-02

    申请号：US16352485

    申请日：2019-03-13

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. ElBsat ,  Michael J. Wenzel ,  Robert D. Turney

    IPC: G06Q50/06 ,  G05B13/02 ,  G06Q30/02

    Abstract: An energy storage system includes a battery and an energy storage controller. The battery is configured to store electrical energy purchased from a utility and to discharge the stored electrical energy for use in satisfying a building energy load. The energy storage controller is configured to generate a cost function including multiple demand charges. Each of the demand charges corresponds to a demand charge period and defines a cost based on a maximum amount of the electrical energy purchased from the utility during any time step within the corresponding demand charge period. The controller is configured to modify the cost function by applying a demand charge mask to each of the multiple demand charges. The demand charge masks cause the controller to disregard the electrical energy purchased from the utility during any time steps that occur outside the corresponding demand charge period when calculating a value for the demand charge.

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