中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

128 records (took 0.042 seconds)

    VARIABLE REFRIGERANT FLOW, ROOM AIR CONDITIONER, AND PACKAGED AIR CONDITIONER CONTROL SYSTEMS WITH COST TARGET OPTIMIZATION
    82.
    发明申请
    VARIABLE REFRIGERANT FLOW, ROOM AIR CONDITIONER, AND PACKAGED AIR CONDITIONER CONTROL SYSTEMS WITH COST TARGET OPTIMIZATION 审中-公开

    公开(公告)号：US20190338973A1

    公开(公告)日：2019-11-07

    申请号：US16404030

    申请日：2019-05-06

    Applicant: Johnson Controls Technology Company

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

    IPC: F24F11/47 ,  F24F11/755

    Abstract: A building cooling system includes a controller and a cooling device operable to affect indoor air temperature of a building. The controller is configured to obtain a cost function that characterizes a cost of operating the cooling device over a future time period, obtain a dataset relating to the building, determine a current state of the building by applying the dataset to a neural network, select a temperature bound associated with the current state, augment the cost function to include a penalty term that increases the cost when the indoor air temperature violates the temperature bound, and determine a temperature setpoint for each of a plurality of time steps in the future time period. The temperature setpoints achieve a target value of the cost function over the future time period. The controller is configured to control the cooling device to drive the indoor air temperature towards the temperature setpoint.

    BUILDING ENERGY STORAGE SYSTEM WITH MULTIPLE DEMAND CHARGE COST OPTIMIZATION
    84.
    发明申请
    BUILDING ENERGY STORAGE SYSTEM WITH MULTIPLE DEMAND CHARGE COST OPTIMIZATION 审中-公开

    公开(公告)号：US20190213695A1

    公开(公告)日：2019-07-11

    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

    CPC classification number: G06Q50/06 ,  G05B13/026 ,  G06Q30/0284 ,  Y04S10/54

    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.

    MODEL PREDICTIVE MAINTENANCE SYSTEM FOR BUILDING EQUIPMENT
    85.
    发明申请
    MODEL PREDICTIVE MAINTENANCE SYSTEM FOR BUILDING EQUIPMENT 审中-公开

    公开(公告)号：US20190129403A1

    公开(公告)日：2019-05-02

    申请号：US16232309

    申请日：2018-12-26

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Sudhi R. Sinha

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

    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.

    BUILDING EQUIPMENT WITH PREDICTIVE CONTROL
    86.
    发明申请
    BUILDING EQUIPMENT WITH PREDICTIVE CONTROL 审中-公开

    公开(公告)号：US20180372362A1

    公开(公告)日：2018-12-27

    申请号：US16016361

    申请日：2018-06-22

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Nishith R. Patel

    IPC: F24F11/47 ,  F24F11/54 ,  F24F11/56 ,  F24F11/65 ,  F24F11/88 ,  G05B19/042

    Abstract: A central energy facility (CEF) includes a plurality of powered CEF components, a battery unit, and a predictive CEF controller. The powered CEF components include a chiller unit and a cooling tower. The battery unit is configured to store electric energy from an energy grid and discharge the stored electric energy for use in powering the powered CEF components. The predictive CEF controller is configured to optimize a predictive cost function to determine an optimal amount of electric energy to purchase from the energy grid and an optimal amount of electric energy to store in the battery unit or discharge from the battery unit for use in powering the powered CEF components at each time step of an optimization period.

    Low level central plant optimization
    87.
    发明授权
    Low level central plant optimization 有权

    公开(公告)号：US10101731B2

    公开(公告)日：2018-10-16

    申请号：US14634615

    申请日：2015-02-27

    Applicant: Johnson Controls Technology Company

    Inventor： Matthew J. Asmus ,  Robert D. Turney

    IPC: G05B19/418 ,  G05B13/02 ,  G05F1/66 ,  G05B13/04 ,  G05B15/02 ,  G06N99/00 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q50/06

    Abstract: Systems and methods for low level central plant optimization are provided. A controller for the central plant uses binary optimization to determine one or more feasible on/off configurations for equipment of the central plant that satisfy operating constraints and meet a thermal energy load setpoint. The controller determines optimum operating setpoints for each feasible on/off configuration and generates operating parameters including at least one of the feasible on/off configurations and the optimum operating setpoints. The operating parameters optimize an amount of energy consumed by the central plant equipment. The controller outputs the generated operating parameters via a communications interface for use in controlling the central plant equipment.

    Incorporating a load change penalty in central plant optimization
    88.
    发明授权
    Incorporating a load change penalty in central plant optimization 有权

    公开(公告)号：US10101730B2

    公开(公告)日：2018-10-16

    申请号：US14634573

    申请日：2015-02-27

    Applicant: Johnson Controls Technology Company

    Inventor： Michael J. Wenzel ,  Robert D. Turney

    IPC: G06F19/00 ,  G05B19/418 ,  G05B13/02 ,  G05F1/66 ,  G05B13/04 ,  G05B15/02 ,  G06N99/00 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q50/06

    Abstract: An optimization system for a central plant includes a processing circuit configured to receive load prediction data indicating building energy loads and utility rate data indicating a price of one or more resources consumed by equipment of the central plant to serve the building energy loads. The optimization system includes a high level optimization module configured to generate an objective function that expresses a total monetary cost of operating the central plant over the optimization period as a function of the utility rate data and an amount of the one or more resources consumed by multiple groups of the central plant equipment. The optimization system includes a load change penalty module configured to modify the objective function to account for a load change penalty resulting from a change in an amount of the building energy loads assigned to one or more of the groups of central plant equipment.

    Systems and methods for cascaded model predictive control
    89.
    发明授权
    Systems and methods for cascaded model predictive control 有权

    公开(公告)号：US09852481B1

    公开(公告)日：2017-12-26

    申请号：US13802154

    申请日：2013-03-13

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Michael J. Wenzel

    IPC: G06Q50/06 ,  G06Q20/14

    CPC classification number: G06Q50/06 ,  G06Q20/085 ,  G06Q20/145

    Abstract: Methods and systems to minimize energy cost in response to time-varying energy prices are presented for a variety of different pricing scenarios. A cascaded model predictive control system is disclosed comprising an inner controller and an outer controller. The inner controller controls power use using a derivative of a temperature setpoint and the outer controller controls temperature via a power setpoint or power deferral. An optimization procedure is used to minimize a cost function within a time horizon subject to temperature constraints, equality constraints, and demand charge constraints. Equality constraints are formulated using system model information and system state information whereas demand charge constraints are formulated using system state information and pricing information. A masking procedure is used to invalidate demand charge constraints for inactive pricing periods including peak, partial-peak, off-peak, critical-peak, and real-time.

Patent Agency Ranking