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公开(公告)号：US20190033800A1
公开(公告)日：2019-01-31
申请号：US16048162
申请日：2018-07-27
Applicant: Johnson Controls Technology Company
Inventor： Mohammad N. Elbsat , Michael J. Wenzel , Graeme Willmott , Matthew J. Asmus
Abstract: Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for operating an energy plant. In one aspect, the system generates a regression model of a produced thermal energy load produced by a supply device of the plurality of devices. The system predicts the produced thermal energy load produced by the supply device for a first time period based on the regression model. The system determines a heat capacity of gas or liquid in the loop based on the predicted produced thermal energy load. The system generates a model of mass storage based on the heat capacity. The system predicts an induced thermal energy load during a second time period at a consuming device of the plurality of devices based on the model of the mass storage. The system operates the energy plant according to the predicted induced thermal energy load.
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公开(公告)号：US20190032944A1
公开(公告)日：2019-01-31
申请号：US16048165
申请日：2018-07-27
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Mohammad N. Elbsat
Abstract: Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for operating an energy plant. In one aspect, the system generates a regression model of a produced thermal energy load produced by a supply device of the plurality of devices. The system predicts the produced thermal energy load produced by the supply device for a first time period based on the regression model. The system determines a heat capacity of gas or liquid in the loop based on the predicted produced thermal energy load. The system generates a model of mass storage based on the heat capacity. The system predicts an induced thermal energy load during a second time period at a consuming device of the plurality of devices based on the model of the mass storage. The system operates the energy plant according to the predicted induced thermal energy load.
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公开(公告)号：US10146237B2
公开(公告)日：2018-12-04
申请号：US15625830
申请日：2017-06-16
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
IPC: G05D23/19 , G05B19/048 , G05B19/042 , F24F11/30 , F24F11/62 , F24F110/10 , F24F110/12 , F24F140/50 , F24F11/46 , F24F11/65 , F24F140/60
Abstract: A thermostat includes an equipment controller and a model predictive controller. The equipment controller is configured to drive the temperature of a building zone to an optimal temperature setpoint by operating HVAC equipment to provide heating or cooling to the building zone. The model predictive controller is configured to determine the optimal temperature setpoint by generating a cost function that accounts for a cost operating the HVAC equipment during each of a plurality of time steps in an optimization period, using a predictive model to predict the temperature of the building zone during each of the plurality of time steps, and optimizing the cost function subject to a constraint on the predicted temperature of the building zone to determine optimal temperature setpoints for each of the time steps.
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公开(公告)号：US12270561B2
公开(公告)日：2025-04-08
申请号：US16513054
申请日：2019-07-16
Applicant: Johnson Controls Technology Company
Inventor： Matthew J. Ellis , Mohammad N. Elbsat , Anas W. I. Alanqar , Michael J. Wenzel , John H. Burroughs
IPC: G05B13/04 , F24F11/47 , F24F11/54 , F24F11/64 , F24F11/65 , G05B13/02 , G06F17/18 , G06Q50/163 , F24F110/10 , F24F110/20 , F24F110/50 , F24F140/50
Abstract: A controller for performing automated system identification. The controller includes processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including generating a predictive model to predict system dynamics of a space of a building based on environmental condition inputs and including performing an optimization of a cost function of operating building equipment over a time duration to determine a setpoint for the building equipment. The optimization is performed based on the predictive model. The operations include operating the building equipment based on the setpoint to affect a variable state or condition of the space and include monitoring prediction error metrics over time. The operations include, in response to detecting one of the prediction error metrics exceeds a threshold value, updating the predictive model.
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15.发明授权公开(公告)号：US11953871B2
公开(公告)日：2024-04-09
申请号：US16688864
申请日：2019-11-19
Applicant: Johnson Controls Technology Company
Inventor： Serdar Suindykov , Mohammad N. Elbsat
Abstract: A controller for a building including one or more processors and one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include parsing a computer-aided design (CAD) file or a building information model (BIM) file for the building to identify building equipment that operates to affect a variable state or condition of a zone of the building. The operations include generating one or more zone models describing one or more control relationships between the building equipment and the variable state or condition of the zone based on the CAD file or the BIM file. The operations include using the one or more zone models to perform a model-based operation for the building equipment.
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Patent Agency Ranking
公开(公告)号：US11900287B2
公开(公告)日：2024-02-13
申请号：US16457314
申请日：2019-06-28
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Sudhi R. Sinha , Michael J. Wenzel , Mohammad N. Elbsat
IPC: G06Q10/20 , G06Q10/0631 , G06N5/02
CPC classification number: G06Q10/06315 , G06N5/02 , G06Q10/20
Abstract: A model predictive maintenance (MPM) system for 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. The MPM system includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period. The MPM system includes a budget manager configured to generate one or more budget constraints. The MPM system includes an objective function optimizer configured to optimize an objective function subject to the one or more budget constraints to determine a maintenance and replacement schedule for the building equipment. The objective function includes maintenance and replacement costs of the building equipment and the predicted cost of operating the building equipment.
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公开(公告)号：US11635751B2
公开(公告)日：2023-04-25
申请号：US17017028
申请日：2020-09-10
Applicant: Johnson Controls Technology Company
Inventor： Yaqing Wu , Mohammad N. Elbsat , Michael J. Wenzel , Christos T. Maravelias
Abstract: A method for performing model predictive maintenance (MPM) of building equipment includes obtaining a first objective function that defines a cost of operating the building equipment and at least one of replacing the building equipment or performing maintenance on the building equipment as a function of operating decisions and at least one of replacement decisions or maintenance decisions for the building equipment for multiple short-term time steps within a short-term horizon. The method also includes performing a first optimization of the first objective function to generate a short-term maintenance and replacement schedule for the building equipment over a duration of the short-term horizon. The method also includes using a result of the first optimization to perform a second optimization of a second objective function to generate a long-term maintenance and replacement schedule for the building equipment over a duration of a long-term horizon.
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18.发明授权公开(公告)号：US11445024B2
公开(公告)日：2022-09-13
申请号：US16695519
申请日：2019-11-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Serdar Suindykov , Mohammad N. Elbsat , Michael J. Wenzel
Abstract: A smart edge controller for building equipment that operates to affect a variable state or condition within 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 including obtaining sensor data indicating environmental conditions of the building and include determining an amount of available processing resources at the smart edge controller or at the building equipment. The operations include automatically scaling a level of complexity of an optimization of a cost function based on the available processing resources and include performing the optimization of the cost function at the automatically scaled level of complexity to generate a first setpoint trajectory. The first setpoint trajectory includes operating setpoints for the building equipment at time steps within an optimization period. The operations include operating the building equipment based on the first setpoint trajectory.
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公开(公告)号：US11120411B2
公开(公告)日：2021-09-14
申请号：US16449198
申请日：2019-06-21
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Sudhi R. Sinha , Masayuki Nonaka , Zhizhong Pang , Yoshiko Watanabe , Mohammad N. Elbsat , Michael J. Wenzel
Abstract: A model predictive maintenance system for building equipment including an equipment controller to operate the building equipment to affect a variable state or condition in a building. The system includes an operational cost predictor to predict a cost of operating the building equipment over a duration of an optimization period, a maintenance cost predictor to predict a cost of performing maintenance on the building equipment, and a cost incentive manager to determine whether any cost incentives are available and, in response to a determination that cost incentives are available, identify the cost incentives. The system includes an objective function optimizer 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, the predicted cost of performing maintenance on the building equipment, and, if available, the cost incentives.
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公开(公告)号：US20180224814A1
公开(公告)日：2018-08-09
申请号：US15426962
申请日：2017-02-07
Applicant: Johnson Controls Technology Company
Inventor： Mohammad N. Elbsat , Michael J. Wenzel
CPC classification number: G05B17/02 , F24F11/30 , F24F11/46 , F24F11/47 , F24F2140/50 , G05B13/021 , G06Q30/0283
Abstract: An energy cost optimization system for a building includes HVAC equipment and a controller. The controller is configured to generate a cost function defining a cost of operating the HVAC equipment as a function of one or more energy load setpoints. The controller is configured to modify the cost function to account for both an initial purchase cost of a new asset to be added to the HVAC equipment and an effect of the new asset on the cost of operating the HVAC equipment. Both the initial purchase cost of the new asset and the effect of the new asset on the cost of operating the HVAC equipment are functions of one or more asset size variables. The controller is configured to perform an optimization using the modified cost function to determine optimal values for decision variables including the energy load setpoints and the asset size variables.
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