公开(公告)号：US20200293031A1

公开(公告)日：2020-09-17

申请号：US16890124

申请日：2020-06-02

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 strategy such as a model predictive control (EMPC) strategy. An EMPC tool is configured to present to receive 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. 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.

公开(公告)号：US10767885B2

公开(公告)日：2020-09-08

申请号：US15896745

申请日：2018-02-14

Applicant: Johnson Controls Technology Company

Inventor： Andrew J. Przybylski ,  Todd Schluechtermann ,  John H. Burroughs ,  Jon T. Mueller ,  Michael J. Wenzel ,  Matthew J. Ellis

IPC: G06F3/0481 ,  G06F3/0484 ,  H04L12/28 ,  F24F11/52 ,  F24F11/32 ,  F24F11/88 ,  G06F8/41 ,  G05B15/02 ,  G06F9/50 ,  F24F11/47 ,  G06F8/34 ,  G06F9/455 ,  G06F8/60 ,  G06F8/35 ,  G06F8/20 ,  G06F9/28 ,  H04L29/08 ,  G06F9/451 ,  G05B19/042 ,  G05B19/418 ,  G06F9/448 ,  H04L12/24

Abstract: A building management system for generating a building model for a building and operating building equipment of the building based on the building model. The system includes a processing circuit configured to receive a context, wherein the context includes metadata defining the building model for the building and generate a building model editor interface for viewing and editing the received context, wherein the building model interface includes building elements for the building model, wherein the building elements are based on the received context and represent the building equipment. The processing circuit is configured to receive user edits of the context via the building model interface, wherein the user edits include edits to the building elements, generate an updated context based on the user edits of the context, and deploy the updated context to control environmental conditions of the building with the building equipment based on the updated context.

公开(公告)号：US10678227B2

公开(公告)日：2020-06-09

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.

公开(公告)号：US10564612B2

公开(公告)日：2020-02-18

申请号：US15635754

申请日：2017-06-28

Applicant: Johnson Controls Technology Company

Inventor： Nishith R. Patel ,  Matthew J. Ellis ,  Michael J. Wenzel ,  Robert D. Turney ,  Brett M. Lenhardt

IPC: G05D7/00 ,  G05D11/00 ,  G05B13/04 ,  F24F11/62 ,  F24F11/30 ,  G05D7/06 ,  F24F11/46

Abstract: A model predictive control system is used to optimize energy cost in a variable refrigerant flow (VRF) system. The VRF system includes an outdoor subsystem and a plurality of indoor subsystems. The model predictive control system includes a high-level model predictive controller (MPC) and a plurality of low-level indoor MPCs. The high-level MPC performs a high-level optimization to generate an optimal indoor subsystem load profile for each of the plurality of indoor subsystems. The optimal indoor subsystem load profiles optimize energy cost. Each of the low-level indoor MPCs performs a low-level optimization to generate optimal indoor setpoints for one or more indoor VRF units of the corresponding indoor subsystem. The indoor setpoints can include temperature setpoints and/or refrigerant flow setpoints for the indoor VRF units.

公开(公告)号：US20200026249A1

公开(公告)日：2020-01-23

申请号：US16040698

申请日：2018-07-20

Applicant: Johnson Controls Technology Company

Inventor： Andrew J. Przybylski ,  Michael J. Wenzel ,  Matthew J. Ellis

IPC: G05B13/04 ,  G05B13/02 ,  G06F3/0484 ,  F24F11/49

Abstract: A building management system includes building equipment operable to affect a variable state or condition of a building and a control system configured to receive a user input indicating a model form. The model form includes a plurality of matrices having a plurality of elements defined in terms of a plurality of parameters. The control system is configured to parse the model form to generate a sequence of machine-executable steps for determining a value of each of the plurality of elements based on a set of potential parameter values, identify a system model by executing the sequence of machine-executable steps to generate a set of parameter values for the plurality of parameters, generate a graphical user interface that illustrates a fit between predictions of the identified system model and behavior of the variable state or condition of the building, and control the building equipment using the identified system model.

公开(公告)号：US20180313557A1

公开(公告)日：2018-11-01

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. EIBsat ,  Juan Esteban Tapiero Bernal ,  Brennan H. Fentzlaff

IPC: F24F11/00 ,  G05D23/19 ,  G05B19/048 ,  G05B19/042

CPC classification number: F24F11/30 ,  F24F11/00 ,  F24F11/46 ,  F24F11/47 ,  F24F11/52 ,  F24F11/58 ,  F24F11/62 ,  F24F11/64 ,  F24F11/65 ,  F24F11/89 ,  F24F2110/10 ,  F24F2110/12 ,  F24F2140/50 ,  F24F2140/60 ,  G05B19/0426 ,  G05B19/048 ,  G05B2219/2614 ,  G05D23/1904 ,  G05D23/1917 ,  G05D23/1923

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.

公开(公告)号：US20180285800A1

公开(公告)日：2018-10-04

申请号：US15473496

申请日：2017-03-29

Applicant: Johnson Controls Technology Company

Inventor： Michael J. Wenzel ,  Matthew J. Ellis

IPC: G06Q10/06 ,  G06Q50/06 ,  G05B13/02 ,  H02J3/38 ,  H02J13/00

Abstract: A central plant includes an asset allocator configured to determine an optimal allocation of energy loads across central plant equipment. The asset allocator identifies sources configured to supply input resources, subplants configured to convert the input resources to output resources, and sinks configured to consume the output resources. The asset allocator generates a cost function and a resource balance constraint. The resource balance constraint requires balance between a total amount of each resource supplied by the sources and the subplants and a total amount of each resource consumed by the subplants and the sinks. The asset allocator determines the optimal allocation of the energy loads across the central plant equipment by optimizing the cost function subject to the resource balance constraint. The asset allocator is configured to control the central plant equipment to achieve the optimal allocation of the energy loads.

公开(公告)号：US20180004172A1

公开(公告)日：2018-01-04

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 ,  F24F11/00 ,  G05B15/02 ,  G05B11/01 ,  F24F3/044 ,  G05D23/19 ,  G05B19/042 ,  F24F5/00 ,  F28D20/00

CPC classification number: G05B13/048 ,  F24F3/044 ,  F24F5/0017 ,  F24F11/30 ,  F24F11/46 ,  F24F11/47 ,  F24F11/54 ,  F24F11/56 ,  F24F11/58 ,  F24F11/62 ,  F24F2005/0025 ,  F24F2110/10 ,  F24F2110/20 ,  F24F2110/40 ,  F24F2120/10 ,  F28D20/0034 ,  F28D2020/0082 ,  G05B15/02 ,  G05B19/042 ,  G05B2219/2614 ,  G05B2219/2642 ,  G05B2219/37375 ,  G05D23/1923 ,  Y02E60/142 ,  Y02E60/147

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：US20170192400A1

公开(公告)日：2017-07-06

申请号：US14989740

申请日：2016-01-06

Applicant: Johnson Controls Technology Company

Inventor： Heidi A. Hofschulz ,  Robert D. Turney ,  Timothy C. Gamroth ,  Matthew J. Ellis

IPC: G05B15/02 ,  G01D11/00 ,  G01D9/32 ,  H04W4/00

CPC classification number: G05B15/02 ,  G01D9/32 ,  G01D11/00 ,  H04W4/70 ,  H04W52/0209 ,  H04W52/0216 ,  Y02D70/00 ,  Y02D70/142 ,  Y02D70/144 ,  Y02D70/162 ,  Y02D70/166

Abstract: A building control system includes a wireless measurement device and a controller. The wireless measurement device measures a plurality of values of an environmental variable and uses the plurality of measured values to predict one or more future values of the environmental variable. The wireless device periodically transmits, at a transmission interval, a message that includes a current value of the environmental variable and the one or more predicted values of the environmental variable. The controller receives the message from the wireless device and parses the message to extract the current value and the one or more predicted future values of the environmental variable. The controller periodically and sequentially applies, at a controller update interval shorter than the transmission interval, each of the extracted values as an input to a control algorithm that operates to control the environmental variable.