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    Variable refrigerant flow system with automatic sensor data correction
    51.
    发明授权
    Variable refrigerant flow system with automatic sensor data correction 有权

    公开(公告)号：US11067956B2

    公开(公告)日：2021-07-20

    申请号：US16535341

    申请日：2019-08-08

    Applicant: Johnson Controls Technology Company

    Inventor： Ruoyu Chen ,  Liming Yang ,  Robert D. Turney

    IPC: G05B13/04 ,  F24F11/00 ,  F24F11/62 ,  F24F11/61 ,  F24F1/32 ,  F24F3/00

    Abstract: A method for controlling a variable refrigerant flow (VRF) system includes applying a time window to sensor data associated with the VRF system, the sensor data including input data points and having a first resolution, wherein applying the time window to the sensor data isolates a subset of the input data points; applying a timing weight to one or more input data points in the subset of the input data points to generate corrected data points having a second resolution higher than the first resolution; creating a virtual sensor and mapping the corrected data points to an output of the virtual sensor; and controlling the VRF system based on an output of the virtual sensor. The use of virtual sensors with a higher resolution than corresponding physical sensors in this manner allows for existing physical sensors to be used while improving performance of the VRF system.

    BUILDING CONTROL SYSTEM WITH SMART EDGE DEVICES HAVING EMBEDDED MODEL PREDICTIVE CONTROL
    52.
    发明申请
    BUILDING CONTROL SYSTEM WITH SMART EDGE DEVICES HAVING EMBEDDED MODEL PREDICTIVE CONTROL 有权

    公开(公告)号：US20210158975A1

    公开(公告)日：2021-05-27

    申请号：US16695519

    申请日：2019-11-26

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Serdar Suindykov ,  Mohammad N. ELBSAT ,  Michael J. Wenzel

    IPC: G16Y20/10 ,  G16Y40/20 ,  G16Y40/35 ,  G16Y10/80

    Abstract: A smart edge controller for building equipment that operates to affect a variable state or condition within a building. The controller includes processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including obtaining sensor data indicating environmental conditions of the building and include determining an amount of available processing resources at the smart edge controller or at the building equipment. The operations include automatically scaling a level of complexity of an optimization of a cost function based on the available processing resources and include performing the optimization of the cost function at the automatically scaled level of complexity to generate a first setpoint trajectory. The first setpoint trajectory includes operating setpoints for the building equipment at time steps within an optimization period. The operations include operating the building equipment based on the first setpoint trajectory.

    Building energy storage system with multiple demand charge cost optimization
    53.
    发明授权
    Building energy storage system with multiple demand charge cost optimization 有权

    公开(公告)号：US11010846B2

    公开(公告)日：2021-05-18

    申请号：US16352612

    申请日：2019-03-13

    Applicant: Johnson Controls Technology Company

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

    IPC: G06Q50/06 ,  G05B13/04 ,  H02J3/14 ,  G06Q10/06 ,  H02J3/32 ,  H02J13/00 ,  H02J3/38 ,  H02J3/00

    Abstract: A building energy system includes a controller configured to obtain representative loads and rates for a plurality of scenarios and generate a cost function comprising a risk attribute and multiple demand charges. Each of the demand charges corresponds to a demand charge period and defines a cost based on a maximum amount of at least one of the energy resources purchased within the corresponding demand charge period. The controller is configured to determine, for each of the multiple demand charges, a peak demand target for the corresponding demand charge period by performing a first optimization of the risk attribute over the plurality of the scenarios, allocate an amount of the one or more energy resources to be consumed, produced, stored, or discharged by the building equipment by performing a second optimization subject to one or more constraints based on the peak demand target for each of the multiple demand charges.

    BUILDING CONTROL SYSTEM WITH FEATURES FOR OPERATING UNDER INTERMITTENT CONNECTIVITY TO A CLOUD COMPUTATION SYSTEM
    54.
    发明申请
    BUILDING CONTROL SYSTEM WITH FEATURES FOR OPERATING UNDER INTERMITTENT CONNECTIVITY TO A CLOUD COMPUTATION SYSTEM 有权

    公开(公告)号：US20210141346A1

    公开(公告)日：2021-05-13

    申请号：US16680881

    申请日：2019-11-12

    Applicant: Johnson Controls Technology Company

    Inventor： Michael J. Wenzel ,  Robert D. Turney ,  Jiaqi Li ,  Matthew J. Ellis ,  Mohammad N. ELBSAT

    IPC: G05B13/04 ,  H04L29/08 ,  H04L12/861 ,  H04L12/26 ,  H04L12/24

    Abstract: A controller for operating building equipment of a building including processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including obtaining a first setpoint trajectory from a cloud computation system. The first setpoint trajectory includes setpoints for the building equipment or for a space of the building. The setpoints correspond to time steps of an optimization period. The operations include determining whether a connection between the controller and the cloud computation system is active or inactive at a time step of the optimization period and determining an active setpoint for the time step of the optimization period using either the first or second setpoint trajectory based on whether the connection between the controller and the cloud computation system is active or inactive at the time step. The operations include operating the building equipment based on the active setpoint.

    High level central plant optimization
    55.
    发明授权
    High level central plant optimization 有权

    公开(公告)号：US10915094B2

    公开(公告)日：2021-02-09

    申请号：US16214984

    申请日：2018-12-10

    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 ,  G05B13/04

    Abstract: A controller for equipment obtains utility rate data indicating a price of one or more resources consumed by the equipment to serve energy loads. The controller generates 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 one or more resources consumed by the equipment at each of a plurality of time steps. The controller optimizes the objective function to determine a distribution of predicted energy loads across the equipment at each of the plurality of time steps. Load equality constraints on the objective function ensure that the distribution satisfies the predicted energy loads at each of the plurality of time steps. The controller operates the equipment to achieve the distribution of the predicted energy loads at each of the plurality of time steps.

    Variable refrigerant flow system with capacity limits
    57.
    发明授权
    Variable refrigerant flow system with capacity limits 有权

    公开(公告)号：US10684070B2

    公开(公告)日：2020-06-16

    申请号：US16122399

    申请日：2018-09-05

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Liming Yang

    IPC: F24F1/32 ,  F24F11/47 ,  F25D29/00 ,  G06Q50/06

    Abstract: A variable refrigerant flow system includes one or more outdoor units and a first indoor unit of a plurality of indoor units configured to receive refrigerant from the one or more outdoor units. The first indoor unit is configured to serve a first building zone. The variable refrigerant flow system also includes a user input device configured to receive a user command requesting heating or cooling of the first building zone by the first indoor unit. The variable refrigerant flow system also includes a controller configured to receive the command from the user input device, receive an indication of a current price of energy, in response to receiving the command generate a constraint on a capacity of the one or more outdoor units based on the current price of energy, and control the one or more outdoor units to operate in accordance with the constraint.

    HVAC CONTROL SYSTEM WITH MODEL DRIVEN DEEP LEARNING
    59.
    发明申请
    HVAC CONTROL SYSTEM WITH MODEL DRIVEN DEEP LEARNING 审中-公开

    公开(公告)号：US20190354071A1

    公开(公告)日：2019-11-21

    申请号：US16413946

    申请日：2019-05-16

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Henry O. Marcy, V

    IPC: G05B13/02 ,  G06N3/08 ,  G06F17/50

    Abstract: A method includes operating equipment to affect a variable state or condition of a space and determining a set of learned weights for a neural network by modeling an estimated cost of operating the equipment over a plurality of simulated scenarios. Each simulated scenario includes simulated measurements relating to the space. The neural network is configured to generate simulated control dispatches for the equipment based on the simulated measurements. The method also includes configuring the neural network for online control by applying the set of learned weights, applying actual measurements relating to the space to the neural network to generate a control dispatch for the equipment, and controlling the equipment in accordance with the control dispatch.

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