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公开(公告)号：US10809675B2
公开(公告)日：2020-10-20
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 , F24F5/00 , F28D20/00 , F24F3/044 , G05B11/01 , F24F11/30 , F24F11/77 , F24F11/62 , F24F11/83 , G05D23/19 , G05B17/02 , F24F11/56 , F24F11/54 , F24F110/20 , F24F120/10 , F24F130/10 , F24F110/10 , F24F11/46 , F24F130/00 , F24F110/40
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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公开(公告)号：US20200149768A1
公开(公告)日：2020-05-14
申请号：US16746534
申请日：2020-01-17
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Nishith R. Patel
Abstract: An air handling unit (AHU) or rooftop unit (RTU) or other building device in a building includes one or more powered components and is used with a battery, and a predictive controller The battery is configured to store electric energy and discharge the stored electric energy for use in powering the powered components. The predictive 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 components at each time step of an optimization period.
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公开(公告)号：US10571146B2
公开(公告)日：2020-02-25
申请号：US15963860
申请日：2018-04-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Nishith R. Patel
Abstract: An air handling unit (AHU) or rooftop unit (RTU) in a building HVAC system includes one or more powered components, a battery, and a predictive controller. The powered components include a fan configured to generate a supply airstream provided to one or more building zones. The battery is configured to store electric energy and discharge the stored electric energy for use in powering the powered components. The predictive 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 components at each time step of an optimization period.
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公开(公告)号：US20200041966A1
公开(公告)日：2020-02-06
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
Abstract: A heating, ventilation, or air conditioning (HVAC) system for a building includes a plurality of indoor subsystems, a high-level controller, and a plurality of 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 is configured to generate 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 is configured to generate 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 operate the one or more indoor units of the corresponding indoor subsystem using the indoor setpoints.
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15.发明申请公开(公告)号：US20200011561A1
公开(公告)日：2020-01-09
申请号：US16029246
申请日：2018-07-06
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Liming Yang , Yunrui Wang , Yasutaka Yoshida , Kazumoto Urata , Timothy I. Salsbury , John M. House
Abstract: A variable refrigerant flow (VRF) system for a building includes a plurality of outdoor VRF units configured to heat or cool a refrigerant for use in heating or cooling the building and an extremum-seeking controller. The extremum-seeking controller is configured to determine a total power consumption of the plurality of outdoor VRF units, generate a pressure setpoint for the plurality of outdoor VRF units using an extremum-seeking control technique that drives the total power consumption toward an extremum, and use the pressure setpoint to operate the plurality of outdoor VRF units.
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Patent Agency Ranking
公开(公告)号：US20190338974A1
公开(公告)日：2019-11-07
申请号：US16405724
申请日：2019-05-07
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Mohammad N. ElBsat , Matthew J. Ellis , Anas W. I. Alanqar , Michael J. Wenzel
Abstract: A controller for maintaining occupant comfort in a space of 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. The operations include obtaining building data and obtaining occupant comfort data. The operations include generating an occupant comfort model relating the building data to a level of occupant comfort within the space based on the building data and the occupant comfort data. The operations include generating time-varying comfort constraint for an environmental condition of the space using the occupant comfort model and include performing a cost optimization of a cost function of operating building equipment over a time duration to determine a setpoint for the building equipment. The operations include operating the building equipment based on the setpoint to affect the variable state or condition of the space.
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公开(公告)号：US20190217739A1
公开(公告)日：2019-07-18
申请号：US16246342
申请日：2019-01-11
Applicant: Johnson Controls Technology Company
Inventor： Sudhi R. Sinha , Youngchoon Park , Robert D. Turney
CPC classification number: B60L53/64 , B60L53/62 , B60L53/63 , B60L53/665 , B60L55/00 , B60L58/13 , B60L2250/16 , G06Q10/04 , G06Q10/06 , G06Q30/02 , G06Q30/0283 , G06Q50/06 , H02J3/24 , H02J3/32
Abstract: A building optimization system includes charging and discharging a battery of a battery power vehicle. The building optimization system includes a charging system configured to cause the battery of the battery powered vehicle to charge or discharge. The building optimization system also includes an optimization controller including a processing circuit. The processing circuit is configured to receive charging constraints for the battery powered vehicle, determine whether to charge discharge the battery of the battery powered vehicle based on the charging constraints, and cause the charging system to charge or discharge the battery of the battery powered vehicle based on the optimization.
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公开(公告)号：US10282796B2
公开(公告)日：2019-05-07
申请号：US15405236
申请日：2017-01-12
Applicant: Johnson Controls Technology Company
Inventor： Mohammad N. ElBsat , Michael J. Wenzel , Robert D. Turney
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：US20190107825A1
公开(公告)日：2019-04-11
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 , G06Q10/04 , G06Q10/06 , G06Q50/06 , G05B15/02 , G05F1/66 , G05B13/02 , G05B13/04 , G06N20/00
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.
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公开(公告)号：US20190078801A1
公开(公告)日：2019-03-14
申请号：US16185274
申请日：2018-11-09
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Matthew J. Ellis , Michael J. Wenzel , Mohammad N. ElBsat , Juan Esteban Tapiero Bernal , Brennan H. Fentzlaff
Abstract: A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.
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