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公开(公告)号：US20210034024A1
公开(公告)日：2021-02-04
申请号：US17073781
申请日：2020-10-19
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 HVAC equipment configured to provide heating or cooling to one or more building spaces and one or more controllers. The one or more controllers include one or more processing circuits configured to generate energy targets for the one or more building spaces using a thermal capacitance of the one or more building spaces to which the heating or cooling is provided by the HVAC equipment, generate setpoints for the HVAC equipment using the energy targets for the one or more building spaces to which the heating or cooling is provided by the HVAC equipment, and operate the HVAC equipment using the setpoints to provide the heating or cooling to the one or more building spaces.
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公开(公告)号：US20210010701A1
公开(公告)日：2021-01-14
申请号：US16927318
申请日：2020-07-13
Applicant: Johnson Controls Technology Company
Inventor： Clay G. Nesler , Kirk H. Drees , Matthew J. Deloge , Jonathan D. Douglas , Timothy C. Gamroth , Michael J. Wenzel , Robert D. Turney , Mohammad N. ElBsat , Joseph F. Mann , Matthew J. Ellis , Serdar Suindykov , James Burke , Thomas M. Seneczko , David S. Eidson , Ganesh Kalpundi , Renee Clair , Anza D'Antonio , Mark L. Ziolkowski
Abstract: Systems and methods for reducing health risks with respect to an infectious disease in buildings. Health data for an infectious diseases is used to determine a health risk level for building spaces and individuals in the building. An air handling action or a disinfection action is performed based on the health risk level.
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153.发明申请公开(公告)号：US20200241491A1
公开(公告)日：2020-07-30
申请号：US16775966
申请日：2020-01-29
Applicant: Johnson Controls Technology Company
Inventor： Andrew J. Przybylski , Michael J. Wenzel , John H. Burroughs , Matthew J. Ellis
Abstract: A method for controlling production of one or more refined resources by an energy provider includes predicting a demand for the refined resources by one or more consumers of the refined resources as a function of an incentive offered by the energy provider. The method further includes performing an optimization of an objective function subject to a constraint based on the predicted demand for the refined resources to determine an amount of the refined resources for the energy provider to produce and a value of the incentive at multiple times within a time period. The method also includes providing setpoints for equipment of the energy provider that cause the equipment to produce the amount of the refined resources determined by performing the optimization.
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154.发明授权公开(公告)号：US10718542B2
公开(公告)日：2020-07-21
申请号：US15953324
申请日：2018-04-13
Applicant: Johnson Controls Technology Company
Abstract: A building management system includes a controller configured to control building equipment by providing a control input to the building equipment for each of the plurality of time steps and generate a set of training data for a system model for the building. The training data includes input training data and output training data for each of the plurality of time steps. The controller is further configured to perform a system identification process to identify parameters of the system model. The system identification process includes predicting, for each time step, a predicted value for one or more of the output variables for each of a plurality of subsequent time steps, generating a prediction error function by comparing the output training data to the predicted values, and optimizing the prediction error function to determine values for the parameters of the system model that minimize the prediction error function.
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公开(公告)号：US10706375B2
公开(公告)日：2020-07-07
申请号：US15473496
申请日：2017-03-29
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Matthew J. Ellis
IPC: G06Q10/00 , G06Q10/06 , G06Q50/06 , G05B13/02 , H02J3/38 , H02J13/00 , H02J3/32 , H02J3/00 , H02J3/28 , H02J3/14
Abstract: A central plant includes an asset allocator configured to determine an optimal allocation of energy loads across central plant equipment. The asset allocator identifies sources configured to supply input resources, subplants configured to convert the input resources to output resources, and sinks configured to consume the output resources. The asset allocator generates a cost function and a resource balance constraint. The resource balance constraint requires balance between a total amount of each resource supplied by the sources and the subplants and a total amount of each resource consumed by the subplants and the sinks. The asset allocator determines the optimal allocation of the energy loads across the central plant equipment by optimizing the cost function subject to the resource balance constraint. The asset allocator is configured to control the central plant equipment to achieve the optimal allocation of the energy loads.
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Patent Agency Ranking
156.发明授权公开(公告)号：US10558180B2
公开(公告)日：2020-02-11
申请号：US15144792
申请日：2016-05-02
Applicant: Johnson Controls Technology Company
Inventor： Mohammad N. ElBsat , Michael J. Wenzel
Abstract: A building control system uses an empirical technique to determine the uncertainty in parameters of an energy use model. The energy use model is used to predict energy consumption of a building site as a function of the model parameters and one or more predictor variables. The empirical technique includes obtaining a set of data points, each of the data points including a value for the one or more predictor variables and an associated energy consumption value for the building site. Multiple samples are generated from the set of data points, each of the multiple samples including a plurality of data points selected from the set of data points. For each of the multiple samples, the model parameters are estimated using the plurality of data points included in the sample. The uncertainty in the model parameters is determined using the multiple estimates of the model parameters.
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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：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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159.发明申请公开(公告)号：US20190316802A1
公开(公告)日：2019-10-17
申请号：US15953324
申请日：2018-04-13
Applicant: Johnson Controls Technology Company
Abstract: A building management system includes a controller configured to control building equipment by providing a control input to the building equipment for each of the plurality of time steps and generate a set of training data for a system model for the building. The training data includes input training data and output training data for each of the plurality of time steps. The controller is further configured to perform a system identification process to identify parameters of the system model. The system identification process includes predicting, for each time step, a predicted value for one or more of the output variables for each of a plurality of subsequent time steps, generating a prediction error function by comparing the output training data to the predicted values, and optimizing the prediction error function to determine values for the parameters of the system model that minimize the prediction error function.
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公开(公告)号：US10359748B2
公开(公告)日：2019-07-23
申请号：US15426962
申请日：2017-02-07
Applicant: Johnson Controls Technology Company
Inventor： Mohammad N. ElBsat , Michael J. Wenzel
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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