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公开(公告)号：US10580097B2
公开(公告)日：2020-03-03
申请号：US15808388
申请日：2017-11-09
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Michael J. Wenzel
Abstract: A cascaded model predictive control system includes an inner controller and an outer controller. The outer controller determines an amount of power to defer from a predicted power usage to optimize a total cost of power usage. A power setpoint is calculated based on a difference between the predicted power usage and the amount of power to defer. The inner controller determines an operating setpoint for building equipment in order to achieve the power setpoint.
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公开(公告)号：US20200041158A1
公开(公告)日：2020-02-06
申请号：US16598539
申请日：2019-10-10
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: F24F11/47 , G05D23/19 , F24F11/30 , F24F11/64 , F24F11/58 , F24F11/52 , F24F11/89 , F24F11/00 , G05B13/04 , G05B15/02
Abstract: A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.
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113.发明申请公开(公告)号：US20200011562A1
公开(公告)日：2020-01-09
申请号：US16029255
申请日：2018-07-06
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Liming Yang , Yunrui Wang , Yasutaka Yoshida , Kazumoto Urata
Abstract: A variable refrigerant flow (VRF) system for a building. The VRF system includes at least one outdoor VRF unit configured to heat or cool a refrigerant for use in heating or cooling the building. The at least one outdoor VRF unit includes a sub-cooler and a bypass expansion valve configured to control a flow of the refrigerant through the sub-cooler and an extremum-seeking controller configured to generate a sub-cooling temperature setpoint for the at least one outdoor VRF unit. The extremum-seeking controller is configured to determine a total power consumption of the at least one outdoor VRF unit, generate a sub-cooling temperature setpoint for the at least one outdoor VRF unit using an extremum-seeking control technique that drives the total power consumption toward an extremum, and use the sub-cooling temperature setpoint to operate the at least one outdoor VRF unit.
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公开(公告)号：US20190338977A1
公开(公告)日：2019-11-07
申请号：US16403924
申请日：2019-05-06
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Jiaqi Li
Abstract: A building management system includes HVAC equipment operable to affect an indoor air temperature of a building, a system manager configured to obtain a cost function that characterizes a cost of operating the HVAC equipment, obtain a dataset relating to the building, determine a current state of the building by applying the dataset to a neural network, select a temperature bound associated with the current state, augment the cost function to include a penalty term that increases the cost when the indoor air temperature violates the temperature bound, and determine a temperature setpoint for each of a plurality of time steps in the future time period. The temperature setpoints achieve a target value of the cost function over the future time period. The building management system also includes a controller configured to operate the HVAC equipment to drive the indoor air temperature towards the temperature setpoint.
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公开(公告)号：US20190295034A1
公开(公告)日：2019-09-26
申请号：US16438961
申请日：2019-06-12
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Mohammad N. ElBsat , Yasutaka Yoshida , Mori Hayato , Robert D. Turney
Abstract: An automatic parts resupply system for building equipment including a model predictive maintenance system configured to determine a service time at which to perform service on the building equipment by performing a predictive optimization of a total cost of operating and servicing the building equipment over a time period. The service time is a decision variable in the predictive optimization. The automatic parts resupply system includes a resupply manager. The resupply manager is configured to generate a parts resupply order for the building equipment based on a result of the predictive optimization. The resupply manager is configured to determine a transmission time at which to transmit the parts resupply order to a parts supplier. The resupply manager is configured to transmit the parts resupply order to the parts supplier at the transmission time.
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Patent Agency Ranking
公开(公告)号：US10175681B2
公开(公告)日：2019-01-08
申请号：US14634609
申请日：2015-02-27
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Robert D. Turney , Kirk H. Drees , Matthew J. Asmus
IPC: G06F19/00 , G05B19/418 , G05B13/02 , G05F1/66 , G05B13/04 , G05B15/02 , G06N99/00 , G06Q10/04 , G06Q10/06 , G06Q50/06
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 high level optimization module is configured to optimize the objective function over the optimization period subject to load equality constraints and capacity constraints on the central plant equipment to determine an optimal distribution of the building energy loads over multiple groups of the central plant equipment.
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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：US20180340704A1
公开(公告)日：2018-11-29
申请号：US15963860
申请日：2018-04-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Nishith R. Patel
CPC classification number: F24F11/47 , F24F11/62 , F24F11/77 , F24F11/86 , F24F2005/0067 , G05B13/048 , G06Q30/0206 , G06Q50/06
Abstract: An air handling unit (AHU) or rooftop unit (RTU) in a building HVAC system includes one or more powered components, a battery, and a predictive controller. The powered components include a fan configured to generate a supply airstream provided to one or more building zones. The battery is configured to store electric energy and discharge the stored electric energy for use in powering the powered components. The predictive controller is configured to optimize a predictive cost function to determine an optimal amount of electric energy to purchase from an energy grid and an optimal amount of electric energy to store in the battery or discharge from the battery for use in powering the powered components at each time step of an optimization period.
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公开(公告)号：US20180340702A9
公开(公告)日：2018-11-29
申请号：US15939238
申请日：2018-03-28
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Tricia J. Valentine , Nicole A. Madison , Collin W. Eggert , Carol T. Tumey , Michael F. Jaeger , Peter A. Craig
Abstract: An energy plant includes a plurality of subplants, a high level optimizer, a low level optimizer, and a controller. The plurality of subplants include a cogeneration subplant configured to generate steam and electricity and a chiller subplant electrically coupled to the cogeneration subplant and configured to consume the electricity generated by the cogeneration subplant. The high level optimizer is configured to determine recommended subplant loads for each of the plurality of subplants. The recommended subplant loads include a rate of steam production and a rate of electricity production of the cogeneration subplant and a rate of electricity consumption of the chiller subplant. The low level optimizer is configured to determine recommended equipment setpoints for equipment of the plurality of subplants based on the recommended subplant loads. The controller is configured to operate the equipment of the plurality of subplants based on the recommended equipment setpoints.
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公开(公告)号：US20180306459A1
公开(公告)日：2018-10-25
申请号：US15953319
申请日：2018-04-13
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney
CPC classification number: F24F11/63 , F24F11/47 , F24F11/58 , F24F11/84 , F24F2110/10 , F24F2110/12 , G05B13/027 , G05B13/048 , G05B15/02 , G05B2219/2642
Abstract: A predictive building control system includes equipment operable to provide heating or cooling to a building and a predictive controller. The predictive controller includes one or more optimization controllers configured to perform an optimization to generate setpoints for the equipment at each time step of an optimization period subject to one or more constraints, a constraint generator configured to use a neural network model to generate the one or more constraints, and an equipment controller configured to operate the equipment to achieve the setpoints generated by the one or more optimization controllers at each time step of the optimization period.
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