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公开(公告)号:US10809676B2
公开(公告)日:2020-10-20
申请号:US16601391
申请日:2019-10-14
Applicant: Johnson Controls Technology Company
Inventor: Nishith R. Patel , Matthew J. Ellis , Michael J. Wenzel , Robert D. Turney , Brett M. Lenhardt
IPC: G05D7/00 , G05D11/00 , G05B13/04 , G05B15/02 , G05B17/02 , F24F11/62 , F24F11/30 , G05D7/06 , F24F11/46
Abstract: A heating, ventilation, or air conditioning (HVAC) system for a building includes indoor subsystems, a high-level controller, and low-level controllers. Each indoor subsystem includes one or more indoor units configured to provide heating or cooling to one or more building spaces. The high-level controller generates a plurality of indoor subsystem energy targets, each indoor subsystem energy target corresponding to one of the plurality of indoor subsystems and generated based on a thermal capacitance of one or more building spaces to which heating or cooling is provided by the corresponding indoor subsystem. Each low-level indoor controller corresponds to one of the indoor subsystems and generates indoor setpoints for the one or more indoor units of the corresponding indoor subsystem using the indoor subsystem energy target for the corresponding indoor subsystem and operates the one or more indoor units of the corresponding indoor subsystem using the indoor setpoints.
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12.
公开(公告)号:US20200041965A1
公开(公告)日:2020-02-06
申请号:US16601385
申请日:2019-10-14
Applicant: Johnson Controls Technology Company
Inventor: Nishith R. Patel , Robert D. Turney , Matthew J. Ellis
IPC: G05B13/04 , G05B17/02 , G05D23/19 , F24F11/83 , F24F11/62 , F24F11/77 , F24F11/30 , G05B11/01 , F24F3/044 , F28D20/00 , F24F5/00
Abstract: A building HVAC system includes an airside system having a plurality of airside subsystems, a high-level controller, and a plurality of low-level airside controllers. Each airside subsystem includes airside HVAC equipment configured to provide heating or cooling to one or more building spaces. The high-level controller is configured to generate a plurality of airside subsystem energy targets, each airside subsystem energy target corresponding to one of the plurality of airside subsystems and generated based on a thermal capacitance of the one or more building spaces to which heating or cooling is provided by the corresponding airside subsystem. Each low-level airside controller corresponds to one of the airside subsystems and is configured to control the airside HVAC equipment of the corresponding airside subsystem in accordance with the airside subsystem energy target for the corresponding airside subsystem.
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13.
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.
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公开(公告)号:US20190219293A1
公开(公告)日:2019-07-18
申请号:US16246454
申请日:2019-01-11
Applicant: Johnson Controls Technology Company
Inventor: Michael J. Wenzel , Mohammad N. Elbsat , Matthew J. Ellis , Matthew J. Asmus , Andrew J. Przybylski , Ryan A. Baumgartner , John H. Burroughs , Kirk H. Drees , Robert D. Turney , Graeme Willmott
CPC classification number: F24F11/47 , G05B13/048 , G05B19/418 , G05B2219/32021 , G06Q10/04 , G06Q30/0283 , G06Q50/06
Abstract: A control system for a central energy facility with distributed energy storage includes a high level coordinator, a low level airside controller, a central plant controller, and a battery controller. The high level coordinator is configured to perform a high level optimization to generate an airside load profile for an airside system, a subplant load profile for a central plant, and a battery power profile for a battery. The low level airside controller is configured to use the airside load profile to operate airside HVAC equipment of the airside subsystem. The central plant controller is configured to use the subplant load profile to operate central plant equipment of the central plant. The battery controller is configured to use the battery power profile to control an amount of electric energy stored in the battery or discharged from the battery at each of a plurality of time steps in an optimization period.
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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
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.
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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
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.
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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
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.
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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.
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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.
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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
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.
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