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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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公开(公告)号：US20180313563A1
公开(公告)日：2018-11-01
申请号：US15963857
申请日：2018-04-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Nishith R. Patel
Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.
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公开(公告)号：US11346572B2
公开(公告)日：2022-05-31
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 , G05B19/042 , F24F11/54 , F24F11/56 , F24F11/65 , F24F11/88 , H02J3/32 , F24F11/46 , F24F11/62 , H02J7/35 , H02J3/14 , G05B13/04 , F24F5/00 , F24F130/20 , F24F140/50 , F24F140/60
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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Patent Agency Ranking
16.发明授权公开(公告)号：US11067955B2
公开(公告)日：2021-07-20
申请号：US15199909
申请日：2016-06-30
Applicant: Johnson Controls Technology Company
Inventor： Nishith R. Patel , Robert D. Turney , Matthew J. Ellis
IPC: G05B13/04 , F24F5/00 , F28D20/00 , F24F3/044 , G05B19/042 , G05B15/02 , F24F11/54 , F24F11/30 , F24F11/62 , F24F11/47 , G05D23/19 , F24F11/56 , F24F110/20 , F24F120/10 , F24F110/10 , F24F11/46 , F24F110/40 , F24F11/58
Abstract: A building HVAC system includes an airside system having a plurality of airside subsystems, a high-level model predictive controller (MPC), and a plurality of low-level airside MPCs. Each airside subsystem includes airside HVAC equipment configured to provide heating or cooling to the airside subsystem. The high-level MPC is configured to perform a high-level optimization to generate an optimal airside subsystem load profile for each airside subsystem. The optimal airside subsystem load profiles optimize energy cost. Each of the low-level airside MPCs corresponds to one of the airside subsystems and is configured to perform a low-level optimization to generate optimal airside temperature setpoints for the corresponding airside subsystem using the optimal airside subsystem load profile for the corresponding airside subsystem. Each of the low-level airside MPCs is configured to use the optimal airside temperature setpoints for the corresponding airside subsystem to operate the airside HVAC equipment of the corresponding airside subsystem.
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17.发明授权公开(公告)号：US11036195B2
公开(公告)日：2021-06-15
申请号：US15199909
申请日：2016-06-30
Applicant: Johnson Controls Technology Company
Inventor： Nishith R. Patel , Robert D. Turney , Matthew J. Ellis
IPC: G05B13/04 , F24F5/00 , F28D20/00 , F24F3/044 , G05B19/042 , G05B15/02 , F24F11/54 , F24F11/30 , F24F11/62 , F24F11/47 , G05D23/19 , F24F11/56 , F24F110/20 , F24F120/10 , F24F110/10 , F24F11/46 , F24F110/40 , F24F11/58
Abstract: A building HVAC system includes an airside system having a plurality of airside subsystems, a high-level model predictive controller (MPC), and a plurality of low-level airside MPCs. Each airside subsystem includes airside HVAC equipment configured to provide heating or cooling to the airside subsystem. The high-level MPC is configured to perform a high-level optimization to generate an optimal airside subsystem load profile for each airside subsystem. The optimal airside subsystem load profiles optimize energy cost. Each of the low-level airside MPCs corresponds to one of the airside subsystems and is configured to perform a low-level optimization to generate optimal airside temperature setpoints for the corresponding airside subsystem using the optimal airside subsystem load profile for the corresponding airside subsystem. Each of the low-level airside MPCs is configured to use the optimal airside temperature setpoints for the corresponding airside subsystem to operate the airside HVAC equipment of the corresponding airside subsystem.
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公开(公告)号：US20210108821A1
公开(公告)日：2021-04-15
申请号：US17080583
申请日：2020-10-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Nishith R. Patel
IPC: F24F11/47 , G05B13/02 , G06Q50/06 , F24F11/56 , F24F11/65 , F25B27/00 , F24F11/64 , G05B15/02 , G05B13/04 , H02J3/32 , G06Q10/06
Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.
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公开(公告)号：US10816235B2
公开(公告)日：2020-10-27
申请号：US15963857
申请日：2018-04-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Nishith R. Patel
IPC: F24F11/47 , G05B13/02 , G06Q50/06 , F24F11/56 , F25B27/00 , H02J3/32 , G06Q10/06 , F24F11/65 , F24F11/64 , G05B15/02 , G05B13/04 , F24F140/60 , F24F130/10 , H02J3/00
Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.
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公开(公告)号：US20180340704A1
公开(公告)日：2018-11-29
申请号：US15963860
申请日：2018-04-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Nishith R. Patel
CPC classification number: F24F11/47 , F24F11/62 , F24F11/77 , F24F11/86 , F24F2005/0067 , G05B13/048 , G06Q30/0206 , G06Q50/06
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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