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公开(公告)号：US11010846B2
公开(公告)日：2021-05-18
申请号：US16352612
申请日：2019-03-13
Applicant: Johnson Controls Technology Company
Inventor： Mohammad N. ElBsat , Michael J. Wenzel , Robert D. Turney
Abstract: A building energy system includes a controller configured to obtain representative loads and rates for a plurality of scenarios and generate a cost function comprising a risk attribute and multiple demand charges. Each of the demand charges corresponds to a demand charge period and defines a cost based on a maximum amount of at least one of the energy resources purchased within the corresponding demand charge period. The controller is configured to determine, for each of the multiple demand charges, a peak demand target for the corresponding demand charge period by performing a first optimization of the risk attribute over the plurality of the scenarios, allocate an amount of the one or more energy resources to be consumed, produced, stored, or discharged by the building equipment by performing a second optimization subject to one or more constraints based on the peak demand target for each of the multiple demand charges.
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102.发明申请公开(公告)号：US20210141346A1
公开(公告)日：2021-05-13
申请号：US16680881
申请日：2019-11-12
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Robert D. Turney , Jiaqi Li , Matthew J. Ellis , Mohammad N. ELBSAT
IPC: G05B13/04 , H04L29/08 , H04L12/861 , H04L12/26 , H04L12/24
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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103.发明授权公开(公告)号：US10949777B2
公开(公告)日：2021-03-16
申请号：US15616616
申请日：2017-06-07
Applicant: Johnson Controls Technology Company
Inventor： Mohammad N. ElBsat , Michael J. Wenzel
IPC: G05D3/12 , G05D5/00 , G05D9/00 , G05D11/00 , G05D17/00 , G06Q10/04 , H02J3/14 , H02J3/00 , F24F11/30 , G06Q50/06 , F24F11/47
Abstract: An energy cost optimization system for a building includes HVAC equipment configured to operate in the building and a controller. The controller is configure to generate a cost function defining a cost of operating the HVAC equipment over an optimization period as a function of one or more electric loads for the HVAC equipment. The controller is further configured to generate participation hours. The participation hours indicate one or more hours that the HVAC equipment will participate in an economic load demand response (ELDR) program. The controller is further configured to generate an ELDR term based on the participation hours, the ELDR term indicating revenue generated by participating in the ELDR program. The controller is further configured to modify the cost function to include the ELDR term and perform an optimization using the modified cost function to determine an optimal electric load for each hour of the participation hours.
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公开(公告)号：US20210063976A1
公开(公告)日：2021-03-04
申请号：US16555591
申请日：2019-08-29
Applicant: Johnson Controls Technology Company
Inventor： John H. Burroughs , Andrew J. Przybylski , Michael J. Wenzel
Abstract: A system controlling equipment to serve energy loads of a building includes a cost function generator configured to obtain a cost function of decision variables representing an amount of resources consumed or produced by the equipment, an optimizer configured to perform a first optimization of the cost function subject to a first set of constraints defining first values of constraint variables to generate a first result defining first values of decision variables, a constraint modifier configured determine a cost gradient, recommend changes to constraint variables, and modify constraint variables to modified values in response to changes. The optimizer is configured to perform an optimization of the cost function subject to a second set of constraints to generate a second optimization result defining second values of the decision variables. The system includes a controller that operates equipment to consume or produce resources defined by second values of the decision variables.
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公开(公告)号：US20210055698A1
公开(公告)日：2021-02-25
申请号：US16549931
申请日：2019-08-23
Applicant: Johnson Controls Technology Company
Inventor： Andrew J. Przybylski , John H. Burroughs , Michael J. Wenzel
Abstract: A method for operating a subplant included in a central plant includes obtaining instruction-based equipment models associated with devices included in the subplant and comprises operating points that define an operation of the devices, generating, for each instruction-based equipment models, a geometric equipment model using the operating points from a particular instruction-based equipment model, the geometric equipment model defining at least one operating domain associated with the particular device, merging geometric equipment models to form a geometric subplant model, the geometric subplant model defining an operation of the subplant comprising devices associated with the geometric equipment models, receiving a desired operating point comprising a load value, determining, relative to the desired operating point, a nearest operating point on the geometric subplant model, setting the nearest operating point on the geometric subplant model as an actual operating point, and operating the subplant at the actual operating point for the subplant.
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Patent Agency Ranking
公开(公告)号：US10915094B2
公开(公告)日：2021-02-09
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
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：US20210018205A1
公开(公告)日：2021-01-21
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
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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公开(公告)号：US20210018204A1
公开(公告)日：2021-01-21
申请号：US16512712
申请日：2019-07-16
Applicant: Johnson Controls Technology Company
Inventor： John H. Burroughs , Andrew J. Przybylski , Matthew J. Ellis , Mohammad N. ELBSAT , Michael J. Wenzel
Abstract: One implementation of the present disclosure is a controller for a variable refrigerant flow system. The controller includes processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations including identifying zones within a structure, generating zone groupings defining zone groups and specifying which of the zones are grouped together to form each of the zone groups, generating metric of success values corresponding to the zone groupings and indicating a control feasibility of a corresponding zone grouping, selecting a zone grouping based on the metric of success values, and using the selected zone grouping to operate equipment of the variable refrigerant flow system to provide heating or cooling to the zones.
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公开(公告)号：US10824125B2
公开(公告)日：2020-11-03
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
IPC: G05B13/04 , G05F1/66 , G05B19/04 , F24F11/46 , G05B19/042 , F24F110/10 , F24F140/50
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：US10739742B2
公开(公告)日：2020-08-11
申请号：US15963891
申请日：2018-04-26
Applicant: Johnson Controls Technology Company
Inventor： Ranjeet Kumar , Michael J. Wenzel , Matthew J. Ellis , Mohammad N. Elbsat , Kirk H. Drees , Victor Manuel Zavala Tejeda
IPC: G05B19/042 , G06Q30/02 , G05B15/02
Abstract: A building energy system includes equipment and an asset allocator configured to determine an optimal allocation of energy loads across the equipment over a prediction horizon. The asset allocator generates several potential scenarios and generates an individual cost function for each potential scenario. Each potential scenario includes a predicted load required by the building and predicted prices for input resources. Each individual cost function includes a cost of purchasing the input resources from utility suppliers. The asset allocator generates a resource balance constraint and solves an optimization problem to determine the optimal allocation of the energy loads across the equipment. Solving the optimization problem includes optimizing an overall cost function that includes a weighted sum of individual cost functions for each potential scenario subject to the resource balance constraint for each potential scenario. The asset allocator controls the equipment to achieve the optimal allocation of energy loads.
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