公开(公告)号：US11274849B2

公开(公告)日：2022-03-15

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: F24F11/64 ,  F24F11/47 ,  G05B15/02 ,  G05D23/19 ,  F24F11/30 ,  F24F11/58 ,  F24F11/52 ,  F24F11/89 ,  F24F11/00 ,  G05B13/04 ,  F24F140/60 ,  F24F130/10 ,  F24F110/12 ,  F24F140/50 ,  F24F110/10 ,  F24F11/62 ,  F24F11/46 ,  F24F11/65

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.

公开(公告)号：US11236917B2

公开(公告)日：2022-02-01

申请号：US16719638

申请日：2019-12-18

Applicant: Johnson Controls Technology Company

Inventor： Robert D. Turney ,  Michael J. Wenzel ,  Mohammad N. Elbsat ,  Anas W. I. Alanqar ,  John H. Burroughs ,  Andrew J. Przybylski

IPC: F24F11/30 ,  F24F11/56 ,  F24F11/64 ,  F24F11/65 ,  G05B13/04 ,  F24F110/10

Abstract: A controller for operating building equipment of a building. The controller includes one or more processors. The controller includes one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include comparing one or more model parameters of predictive models describing zones of the building to determine one or more zone groups for the building. The operations include generating one or more zone group models corresponding to the one or more zone groups. The operations include operating the building equipment using the one or more zone group models to affect a variable state or condition of the building.

公开(公告)号：US11067955B2

公开(公告)日：2021-07-20

申请号：US15199909

申请日：2016-06-30

Applicant: Johnson Controls Technology Company

Inventor： Nishith R. Patel ,  Robert D. Turney ,  Matthew J. Ellis

IPC: G05B13/04 ,  F24F5/00 ,  F28D20/00 ,  F24F3/044 ,  G05B19/042 ,  G05B15/02 ,  F24F11/54 ,  F24F11/30 ,  F24F11/62 ,  F24F11/47 ,  G05D23/19 ,  F24F11/56 ,  F24F110/20 ,  F24F120/10 ,  F24F110/10 ,  F24F11/46 ,  F24F110/40 ,  F24F11/58

Abstract: A building HVAC system includes an airside system having a plurality of airside subsystems, a high-level model predictive controller (MPC), and a plurality of low-level airside MPCs. Each airside subsystem includes airside HVAC equipment configured to provide heating or cooling to the airside subsystem. The high-level MPC is configured to perform a high-level optimization to generate an optimal airside subsystem load profile for each airside subsystem. The optimal airside subsystem load profiles optimize energy cost. Each of the low-level airside MPCs corresponds to one of the airside subsystems and is configured to perform a low-level optimization to generate optimal airside temperature setpoints for the corresponding airside subsystem using the optimal airside subsystem load profile for the corresponding airside subsystem. Each of the low-level airside MPCs is configured to use the optimal airside temperature setpoints for the corresponding airside subsystem to operate the airside HVAC equipment of the corresponding airside subsystem.

公开(公告)号：US11036195B2

公开(公告)日：2021-06-15

申请号：US15199909

申请日：2016-06-30

Applicant: Johnson Controls Technology Company

Inventor： Nishith R. Patel ,  Robert D. Turney ,  Matthew J. Ellis

IPC: G05B13/04 ,  F24F5/00 ,  F28D20/00 ,  F24F3/044 ,  G05B19/042 ,  G05B15/02 ,  F24F11/54 ,  F24F11/30 ,  F24F11/62 ,  F24F11/47 ,  G05D23/19 ,  F24F11/56 ,  F24F110/20 ,  F24F120/10 ,  F24F110/10 ,  F24F11/46 ,  F24F110/40 ,  F24F11/58

Abstract: A building HVAC system includes an airside system having a plurality of airside subsystems, a high-level model predictive controller (MPC), and a plurality of low-level airside MPCs. Each airside subsystem includes airside HVAC equipment configured to provide heating or cooling to the airside subsystem. The high-level MPC is configured to perform a high-level optimization to generate an optimal airside subsystem load profile for each airside subsystem. The optimal airside subsystem load profiles optimize energy cost. Each of the low-level airside MPCs corresponds to one of the airside subsystems and is configured to perform a low-level optimization to generate optimal airside temperature setpoints for the corresponding airside subsystem using the optimal airside subsystem load profile for the corresponding airside subsystem. Each of the low-level airside MPCs is configured to use the optimal airside temperature setpoints for the corresponding airside subsystem to operate the airside HVAC equipment of the corresponding airside subsystem.

公开(公告)号：US20210148592A1

公开(公告)日：2021-05-20

申请号：US16687122

申请日：2019-11-18

Applicant: Johnson Controls Technology Company

Inventor： Robert D. Turney ,  Liming Yang ,  Michael J. Wenzel

IPC: F24F11/46 ,  F24F11/56 ,  F24F11/54 ,  F24F11/64 ,  F24F11/65 ,  F24F11/72 ,  F24F11/80 ,  G05B19/042

Abstract: A building cooling system includes one or more cooling devices operable to affect an indoor air temperature of a building and a system management circuit. The system management circuit is configured to obtain an objective function that includes a power consumption term and a comfort term, perform an optimization of the objective function over a time horizon to determine values of the cooling capacity of the cooling devices where each value of the cooling capacity corresponds to a time step of the time horizon, and control the cooling devices based on the values of the cooling capacity of the cooling devices. The comfort term of the objective function a difference between a prediction of the indoor air temperature of the building and a temperature setpoint for the building, while the power consumption term is a function of the power consumption of the one or more cooling devices.

公开(公告)号：US11002457B2

公开(公告)日：2021-05-11

申请号：US16404030

申请日：2019-05-06

Applicant: Johnson Controls Technology Company

Inventor： Robert D. Turney ,  Henry O. Marcy, V ,  Zhizhong Pang

IPC: F24F11/47 ,  F24F11/755 ,  F24F11/85

Abstract: A building cooling system includes a controller and a cooling device operable to affect indoor air temperature of a building. The controller is configured to obtain a cost function that characterizes a cost of operating the cooling device over a future time period, 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 controller is configured to control the cooling device to drive the indoor air temperature towards the temperature setpoint.

公开(公告)号：US20210108821A1

公开(公告)日：2021-04-15

申请号：US17080583

申请日：2020-10-26

Applicant: Johnson Controls Technology Company

Inventor： Robert D. Turney ,  Nishith R. Patel

IPC: F24F11/47 ,  G05B13/02 ,  G06Q50/06 ,  F24F11/56 ,  F24F11/65 ,  F25B27/00 ,  F24F11/64 ,  G05B15/02 ,  G05B13/04 ,  H02J3/32 ,  G06Q10/06

Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.

公开(公告)号：US20210041839A1

公开(公告)日：2021-02-11

申请号：US16535341

申请日：2019-08-08

Applicant: Johnson Controls Technology Company

Inventor： Ruoyu Chen ,  Liming Yang ,  Robert D. Turney

IPC: G05B13/04 ,  F24F3/00 ,  F24F11/61 ,  F24F11/62 ,  F24F1/32

Abstract: A method for controlling a variable refrigerant flow (VRF) system includes applying a time window to sensor data associated with the VRF system, the sensor data including input data points and having a first resolution, wherein applying the time window to the sensor data isolates a subset of the input data points; applying a timing weight to one or more input data points in the subset of the input data points to generate corrected data points having a second resolution higher than the first resolution; creating a virtual sensor and mapping the corrected data points to an output of the virtual sensor; and controlling the VRF system based on an output of the virtual sensor. The use of virtual sensors with a higher resolution than corresponding physical sensors in this manner allows for existing physical sensors to be used while improving performance of the VRF system.

公开(公告)号：US10890904B2

公开(公告)日：2021-01-12

申请号：US16232309

申请日：2018-12-26

Applicant: Johnson Controls Technology Company

Inventor： Robert D. Turney ,  Sudhi R. Sinha

IPC: G05B23/02 ,  G06Q10/00 ,  G06Q30/02

Abstract: A model predictive maintenance (MPM) system for building equipment includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period, a maintenance cost predictor configured to predict a cost of performing maintenance on the building equipment over the duration of the optimization period, and an objective function optimizer configured to optimize an objective function to predict a total cost associated with the building equipment over the duration of the optimization period. The objective function includes the predicted cost of operating the building equipment and the predicted cost of performing maintenance on the building equipment. The MPM system includes an equipment controller configured to operate the building equipment to affect a variable state or condition in a building in accordance with values of one or more decision variables obtained by optimizing the objective function.

公开(公告)号：US10816235B2

公开(公告)日：2020-10-27

申请号：US15963857

申请日：2018-04-26

Applicant: Johnson Controls Technology Company

Inventor： Robert D. Turney ,  Nishith R. Patel

IPC: F24F11/47 ,  G05B13/02 ,  G06Q50/06 ,  F24F11/56 ,  F25B27/00 ,  H02J3/32 ,  G06Q10/06 ,  F24F11/65 ,  F24F11/64 ,  G05B15/02 ,  G05B13/04 ,  F24F140/60 ,  F24F130/10 ,  H02J3/00

Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.