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公开(公告)号：US20210149429A1
公开(公告)日：2021-05-20
申请号：US17142502
申请日：2021-01-06
Applicant: Johnson Controls Technology Company
Inventor： Clay G. Nesler , Kirk H. Drees , James P. Kummer , Derek Supple , Marc D. Andraca , John I. Ruiz , Paul Harrison Rode
IPC: G05F1/66 , G06Q10/06 , G06Q50/06 , G06Q50/16 , H02J13/00 , G01R21/133 , G05B15/02 , G05B17/02 , G05B11/01 , G06Q30/02
Abstract: A building manager includes a communications interface configured to receive information from a smart energy grid. The building manager further includes an integrated control layer configured to receive inputs from and to provide outputs to a plurality of building subsystems. The integrated control layer includes a plurality of control algorithm modules configured to process the inputs and to determine the outputs. The building manager further includes a fault detection and diagnostics layer configured to use statistical analysis on the inputs received from the integrated control layer to detect and diagnose faults. The building manager yet further includes a demand response layer configured to process the information received from the smart energy grid to determine adjustments to the plurality of control algorithms of the integrated control layer.
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公开(公告)号：US10935940B2
公开(公告)日：2021-03-02
申请号：US16054805
申请日：2018-08-03
Applicant: Johnson Controls Technology Company
Inventor： Kirk H. Drees
Abstract: A building management system is provided. The building management system includes a database, a trust region identifier configured to perform a cluster analysis technique to identify trust regions, and a regression model predictor configured to utilize a regression model technique to calculate a regression model prediction. The building management system further includes a distance metric calculator configured to calculate a distance metric, an artificial neural network model predictor configured to utilize an artificial neural network model technique to calculate an artificial neural network model prediction, and a combined prediction calculator configured to determine a combined prediction based on the distance metric, the regression model prediction, and the artificial neural network model prediction.
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43.发明授权公开(公告)号：US10928089B2
公开(公告)日：2021-02-23
申请号：US16262263
申请日：2019-01-30
Applicant: Johnson Controls Technology Company
Inventor： Timothy C. Gamroth , Craig E. Trivelpiece , Joseph Piccolo, III , Kirk H. Drees
IPC: F24F11/63 , G05B19/042 , F24F110/10 , F24F110/70 , F24F130/20 , F24F130/10 , F24F120/10
Abstract: A system for controlling temperature of a building space includes HVAC equipment configured to serve the building space, a plurality of sensors configured to measure a plurality of parameters relating to the building space, and a control system. The control system is configured to receive data from the plurality of sensors, generate a plurality of disturbance heat flow estimates for the building space based on the data from the plurality of sensors, determine a feedforward heat flow contribution based on the disturbance heat flow estimates, determine a feedback heat flow contribution based on a measured temperature of the building space and a temperature setpoint for the building space, combine the feedforward heat flow contribution and the feedback heat flow contribution to determine a rate of heat flow to be provided to the building space by the HVAC equipment, and control the HVAC equipment to provide the rate of heat flow.
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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：US20210011444A1
公开(公告)日：2021-01-14
申请号：US16927759
申请日：2020-07-13
Applicant: Johnson Controls Technology Company
Inventor： Michael J. RISBECK , Kirk H. Drees , Jonathan D. Douglas
IPC: G05B19/042 , F24F11/70
Abstract: A heating, ventilation, or air conditioning (HVAC) system for one or more building zones includes airside HVAC equipment operable to provide clean air to the one or more building zones and a controller. The controller is configured to obtain a dynamic temperature model and a dynamic infectious quanta model for the one or more building zones, determine an infection probability, and generate control decisions for the airside HVAC equipment using the dynamic temperature model, the dynamic infectious quanta model, and the infection probability.
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Patent Agency Ranking
公开(公告)号：US20200348038A1
公开(公告)日：2020-11-05
申请号：US16927766
申请日：2020-07-13
Applicant: Johnson Controls Technology Company
Inventor： Michael J. RISBECK , Kirk H. Drees , Jonathan D. Douglas
Abstract: A heating, ventilation, or air conditioning system (HVAC) design and operational tool includes one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including obtaining a dynamic temperature model and a dynamic infectious quanta model for one or more building zones, determining an infection probability, and performing a plurality of simulations for a plurality of different equipment configurations using the dynamic temperature model, the dynamic infectious quanta model, and the infection probability to generate results. The operations include generating, using the results of the plurality of simulations, at least one of design including one or more recommended design parameters data or operational data including one or more recommended operational parameters for the HVAC system and initiating an automated action using at least one of the design data or the operational data.
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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：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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49.发明申请公开(公告)号：US20200106294A1
公开(公告)日：2020-04-02
申请号：US16147356
申请日：2018-09-28
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Kirk H. Drees , Camille M. Aucoin
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 predicts a required load of the campus and an electrical generation of the photovoltaic energy field across a time horizon and optimizes a cost function subject to a set of constraints to determine a discharge rate of the AC power to achieve a desired power factor. At least one of the set of constraints applied to the cost function ensures that the energy converter can convert the electrical energy stored in the stationary energy storage device into AC power having the determined power factor and discharge rate.
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公开(公告)号：US20190384259A1
公开(公告)日：2019-12-19
申请号：US16543320
申请日：2019-08-16
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Kirk H. Drees
IPC: G05B19/418 , G05B13/04 , G05B15/02 , G05F1/66 , G06N20/00 , G06N99/00 , G06Q10/04 , G06Q10/06 , G06Q50/06 , G05B13/02
Abstract: An optimization system for a central plant includes a processing circuit configured to receive load prediction data indicating building energy loads and utility rate data indicating a price of one or more resources consumed by equipment of the central plant to serve the building energy loads. The optimization system includes a high level optimization module configured to generate an objective function that expresses a total monetary cost of operating the central plant over an optimization period as a function of the utility rate data and an amount of the one or more resources consumed by the central plant equipment. The optimization system includes a demand charge module configured to modify the objective function to account for a demand charge indicating a cost associated with maximum power consumption during a demand charge period. The high level optimization module is configured to optimize the objective function over the demand charge period.
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