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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：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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公开(公告)号：US10684598B1
公开(公告)日：2020-06-16
申请号：US16240028
申请日：2019-01-04
Applicant: Johnson Controls Technology Company
Abstract: A building management system includes building equipment operable generate training data relating to behavior of a building system and a controller configured to perform a system identification process that includes generating a prediction error function based on the training data and a system model, generating initial guesses of one or more parameters of the system model, running an optimization problem of the prediction error function for a first group of iterations, discarding, after the first group of iterations, a portion of the initial guesses based on one or more criteria and ranking a remaining portion of the initial guesses, running the optimization problem of the prediction error function for a top-ranked initial guess of the remaining portion to local optimality to identify a first set of values of the one or more parameters, and identifying the one or more parameters as having the first set of values.
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公开(公告)号：US20200106385A1
公开(公告)日：2020-04-02
申请号：US16147349
申请日：2018-09-28
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Kirk H. Drees , John I. Ruiz , Matthew J. Ellis , Mohammad N. ElBsat , John H. Burroughs , Juan Esteban Tapiero Bernal
Abstract: An energy storage system includes a photovoltaic energy field, a stationary energy storage device, an energy converter, and a controller. The photovoltaic energy field converts solar energy into electrical energy and charges the stationary energy storage device with the electrical energy. The energy converter converts the electrical energy stored in the stationary energy storage device into AC power at a discharge rate and supplies a campus with the AC power at the discharge rate. The controller generates a cost function of the energy consumption of the campus across a time horizon which relates a cost to operate the campus to the discharge rate of the AC power supplied by the stationary energy storage device. The controller applies constraints to the cost function, determines a minimizing solution to the cost function which satisfies the constraints, and controls the energy converter.
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公开(公告)号：US20200025402A1
公开(公告)日：2020-01-23
申请号：US16588467
申请日：2019-09-30
Applicant: Johnson Controls Technology Company
Inventor： Kerry M. Bell , Bridget E. Kapler , Alan S. Schwegler , Leyla Mousavi , Kierstyn R. Robbins , Robert D. Turney , Matthew J. Ellis , Michael J. Wenzel , Mohammad N. ElBsat , Juan Esteban Tapiero Bernal , Brennan H. Fentzlaff
IPC: F24F11/47 , G05B13/04 , G05B15/02 , G05D23/19 , F24F11/30 , F24F11/64 , F24F11/58 , F24F11/52 , F24F11/89 , F24F11/00
Abstract: A system includes a plurality of thermostats corresponding to a plurality of HVAC systems that serve a plurality of spaces and a computing system communicable with the plurality of thermostats via a network. The computing system is configured to, for each space of the plurality of spaces, obtain a set of training data relating to thermal behavior of the space, identify a model of thermal behavior of the space based on the set of training data, perform a model predictive control process using the model of thermal behavior of the space to obtain a temperature setpoint for the space, and provide the temperature setpoint to the thermostat corresponding to the HVAC system serving the space. The plurality of thermostats are configured to control the plurality of HVAC systems in accordance with the temperature setpoints.
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Patent Agency Ranking
公开(公告)号：US20190286114A1
公开(公告)日：2019-09-19
申请号：US15921955
申请日：2018-03-15
Applicant: Johnson Controls Technology Company
Inventor： Andrew J. Przybylski , Michael J. Wenzel , Matthew J. Ellis , Jon T. Mueller
IPC: G05B19/418
Abstract: Systems and methods for implementing an economic model predictive control (EMPC) strategy in any resource-based system include an EMPC tool. The EMPC tool is configured to present user interfaces to a client device. The EMPC tool is further configured to receive first user input including resources and subplants associated with a central plant. The EMPC tool is also configured to receive second user input including sinks and connections between central plant equipment. The EMPC tool also includes a data model extender configured to extend a data model to define new entities and/or relationships specified by user input. The EMPC tool also includes a high level EMPC algorithm configured to generate an optimization problem and an asset allocator configured to solve the resource optimization problem in order to determine optimal control decisions used to operate the central plant.
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37.发明申请公开(公告)号：US20190257544A1
公开(公告)日：2019-08-22
申请号：US15900459
申请日：2018-02-20
Applicant: Johnson Controls Technology Company
Inventor： Anas W. I. Alanqar , Matthew J. Ellis , Michael J. Wenzel
Abstract: A building management system includes building equipment, a sensor, and a saturation detector. The building equipment is configured to operate at an operating capacity to drive a variable state or condition of a building zone toward a setpoint. The operating capacity and the setpoint vary over time. The sensor is in the building zone and is configured to provide a zone measurement of the variable state or condition of the building zone. The saturation detector is configured to determine whether the operating capacity is in a non-transient region for a threshold amount of a time period upon determining that an error for the building zone exists for the time period, and, in response to a determination that the operating capacity is in the non-transient region for at least the threshold amount of the time period, indicate the time period as a saturation period.
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公开(公告)号：US11592792B2
公开(公告)日：2023-02-28
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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公开(公告)号：US11215375B2
公开(公告)日：2022-01-04
申请号：US16590783
申请日：2019-10-02
Applicant: Johnson Controls Technology Company
Inventor： Anas W. I. Alanqar , Fang Du , Michael J. Wenzel , Matthew J. Ellis , Mohammad N. Elbsat
IPC: F24F11/30 , F24F11/56 , F24F11/61 , G05B13/04 , F24F11/65 , F24F140/00 , F24F110/10
Abstract: An environmental control system for a building including heating, ventilation, or air conditioning (HVAC) equipment that operates to affect a zone of the building and a controller including a processing circuit. The processing circuit is configured to estimate a thermal resistance between air of the zone and of an external space using values of a temperature of the zone air, a temperature of the external space air, and a heat transfer rate of the HVAC equipment, each value corresponding to a different time step within a time period. The processing circuit is configured to use the thermal resistance, time step specific values of the temperatures, and time step specific values of the heat transfer rate to estimate corresponding values of a heat disturbance. The processing circuit is configured to operate the HVAC equipment using a model-based control technique based on the heat disturbance values.
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公开(公告)号：US11209184B2
公开(公告)日：2021-12-28
申请号：US16246454
申请日：2019-01-11
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Mohammad N. Elbsat , Matthew J. Ellis , Matthew J. Asmus , Andrew J. Przybylski , Ryan A. Baumgartner , John H. Burroughs , Kirk H. Drees , Robert D. Turney , Graeme Willmott
Abstract: A control system for a central energy facility with distributed energy storage includes a high level coordinator, a low level airside controller, a central plant controller, and a battery controller. The high level coordinator is configured to perform a high level optimization to generate an airside load profile for an airside system, a subplant load profile for a central plant, and a battery power profile for a battery. The low level airside controller is configured to use the airside load profile to operate airside HVAC equipment of the airside subsystem. The central plant controller is configured to use the subplant load profile to operate central plant equipment of the central plant. The battery controller is configured to use the battery power profile to control an amount of electric energy stored in the battery or discharged from the battery at each of a plurality of time steps in an optimization period.
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