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公开(公告)号:US20230291202A1
公开(公告)日:2023-09-14
申请号:US18198091
申请日:2023-05-16
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Mohammad N. ELBSAT
IPC: H02J3/00 , G05B19/042 , G06Q30/0207 , G06Q50/06 , G05B15/02
CPC classification number: H02J3/003 , G05B19/042 , G06Q30/0236 , G06Q50/06 , G05B15/02 , G05B2219/2639 , H02J3/32
Abstract: A controller for building equipment that operate to produce or consume resources for a building or campus. The controller performs an optimization of an objective function subject to an override constraint to determine values for a plurality of decision variables indicating amounts of resources to be produced or consumed by the building equipment. The override constraint defines one or more of the values for a subset of the plurality of decision variables by specifying an override amount of a first resource of the resources to be produced or consumed by a first subset of the building equipment and the optimization determines a remainder of the values for a remainder of the plurality of decision variables. The controller controls the building equipment to produce or consume the amounts of the resources determined by performing the optimization subject to the override constraint.
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公开(公告)号:US20230312174A1
公开(公告)日:2023-10-05
申请号:US18206992
申请日:2023-06-07
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: John H. Burroughs , Andrew J. Przybylski , Matthew J. Ellis , Mohammad N. ELBSAT , Michael J. Wenzel
IPC: B65D23/08
CPC classification number: B65D23/0871
Abstract: A controller for a building control system includes processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations including identifying zones within a building, analyzing data associated with the zones, and generating zone groupings based on the data associated with the zones. Each of the zone groupings define zone groups and specify which of the zones are grouped together to form each of the zone groups. The operations also include identifying a particular zone grouping from zone groupings based on the data associated with zones and using the particular zone grouping to generate control signals to operate equipment of the building control system to provide heating or cooling to the zones.
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公开(公告)号:US20230281534A1
公开(公告)日:2023-09-07
申请号:US18196188
申请日:2023-05-11
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Mohammad N. ELBSAT , Michael J. Wenzel
IPC: G06Q10/0631 , G06Q50/06 , G06Q10/04
CPC classification number: G06Q10/06315 , G06Q50/06 , G06Q10/04 , G06Q10/06313
Abstract: A controller for equipment that operate to store, discharge, generate, or consume one or more resources is configured to provide an objective function indicating a total value of obtaining a resource from a utility provider over a plurality of time steps subject to a load-following-block rate structure. The objective function includes a first term representing a load-following-block of the resource as being sourced from the utility provider at a fixed rate and a second term representing a remainder of the resource as being sourced from the utility provider at a variable rate. The controller is configured to use the objective function to generate values for decision variables and control the equipment to store, discharge, generate, or consume amounts of the resources indicated by the values of the decision variables at the plurality of time steps.
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公开(公告)号:US20210365861A1
公开(公告)日:2021-11-25
申请号:US17395672
申请日:2021-08-06
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Mohammad N. ELBSAT , Michael J. WENZEL
Abstract: A building energy system includes equipment operable to consume, store, or generate one or more resources, a utility connection configured to obtain, from a utility provider, a first resource subject to a load-following-block rate structure and provide the first resource to the equipment, and a controller. The controller provides an objective function indicating a total value of purchasing the first resource from the utility provider over a plurality of time steps. The objective function includes a first term representing a load-following-block of the first resource from the utility provider as being sourced from a first supplier at a fixed rate and a second term representing a remainder of the first resource from the utility provider as being sourced from a second supplier at a variable rate. The controller controls the equipment based on a result of an optimization of the objective function.
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公开(公告)号:US20230144177A1
公开(公告)日:2023-05-11
申请号:US17498553
申请日:2021-10-11
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Parisa Khosravi , Mohammad N. ELBSAT , Michael J. Wenzel
CPC classification number: F24F11/49 , F24F11/63 , G05B15/02 , F24F2140/12
Abstract: A system for assessing relative performance among a plurality of heating, ventilation, or air condition (HVAC) assets, the system comprising a processing circuit configured to identify a peer group comprising two or more of the plurality of HVAC assets having a common characteristic, generate values of a peer metric for the HVAC assets in the peer group based on corresponding operation data associated with the HVAC assets, perform a weighted outlier detection process using the values of the peer metric, and initiate an automated action in response to detecting an outlier HVAC asset.
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公开(公告)号:US20220365495A1
公开(公告)日:2022-11-17
申请号:US17859836
申请日:2022-07-07
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Michael J. Wenzel , Robert D. Turney , Jiaqi Li , Matthew J. Ellis , Mohammad N. ELBSAT
IPC: G05B13/04 , H04L67/10 , H04L49/90 , H04L43/10 , H04L43/0811 , H04L41/0826
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.
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公开(公告)号:US20230228438A1
公开(公告)日:2023-07-20
申请号:US18126057
申请日:2023-03-24
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Robert D. Turney , Matthew J. Ellis , Michael J. Wenzel , Mohammad N. ELBSAT , Juan Esteban Tapiero Bernal , Brennan H. Fentzlaff
IPC: F24F11/47 , G05D23/19 , F24F11/30 , F24F11/64 , F24F11/58 , F24F11/52 , F24F11/89 , G05B13/04 , G05B15/02 , F24F11/00
CPC classification number: F24F11/47 , G05D23/1904 , G05D23/1923 , F24F11/30 , G05D23/1917 , F24F11/64 , F24F11/58 , F24F11/52 , F24F11/89 , G05B13/048 , G05B15/02 , F24F11/00 , G05B2219/2614 , F24F2110/12
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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公开(公告)号:US20220191057A1
公开(公告)日:2022-06-16
申请号:US17688192
申请日:2022-03-07
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Mohammad N. ELBSAT
Abstract: A controller for building equipment that operate to produce or consume resources for a building or campus. The controller performs an optimization of an objective function subject to an override constraint to determine values for a plurality of decision variables indicating amounts of resources to be produced or consumed by the building equipment. The override constraint defines one or more of the values for a subset of the plurality of decision variables by specifying an override amount of a first resource of the resources to be produced or consumed by a first subset of the building equipment and the optimization determines a remainder of the values for a remainder of the plurality of decision variables. The controller controls the building equipment to produce or consume the amounts of the resources determined by performing the optimization subject to the override constraint.
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公开(公告)号:US20220186962A1
公开(公告)日:2022-06-16
申请号:US17687427
申请日:2022-03-04
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Robert D. TURNEY , Nishith R. PATEL , Mohammad N. ELBSAT , Michael J. WENZEL
Abstract: A predictive controller for building equipment associated with a building includes one or more processing circuits configured to control electric energy used by the building equipment. The building equipment includes an electric energy using component. The one or more processing circuits are configured to utilize a predictive cost function to determine a first amount of the electric energy supplied from an energy grid source and a second amount of the electric energy supplied from a second energy source to the electric energy using component.
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公开(公告)号:US20220034543A1
公开(公告)日:2022-02-03
申请号:US17388776
申请日:2021-07-29
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Anas W. I. Alanqar , Michael J. Wenzel , Mohammad N. ELBSAT
IPC: F24F11/63 , F24F11/32 , G05B19/042 , G05B23/02
Abstract: A method for automatically adapting a predictive model used to control a heating, ventilation, or air conditioning (HVAC) system in a building to compensate for a detected fault in the HVAC system is shown. The method includes obtaining an indication of the detected fault in the HVAC system or a zone in the building. The method further includes determining a predicted impact of the detected fault on an operational performance of the HVAC system. The method further includes adjusting one or more parameters of the predictive model based on the predicted impact of the detected fault to generate a fault-adapted predictive model. The method further includes operating the HVAC system to control an environmental condition of the building using the fault-adapted predictive model.
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