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：US20190271978A1

公开(公告)日：2019-09-05

申请号：US16418686

申请日：2019-05-21

Applicant: Johnson Controls Technology Company

Inventor： Mohammad N. ElBsat ,  Michael J. Wenzel ,  Zhigang Wu ,  Yasutaka Yoshida ,  Robert D. Turney ,  Liming Yang

IPC: G05B23/02 ,  G06Q30/02

Abstract: An automatic work order generation system for model predictive maintenance (MPM) of building equipment including an MPM system including an equipment controller to operate the building equipment to affect an environmental condition of a building. The MPM system can perform a predictive optimization to determine a service time at which to service the building equipment. The automatic work order generation system includes an equipment service scheduler that can determine whether any service providers are available to perform equipment service within a predetermined time range of the service time. In response to determining that service providers are available to perform the equipment service, the equipment service scheduler can select a service provider and an appointment time based on one or more service provider attributes. The equipment service scheduler can generate a service work order and transmit the service work order to the service provider to schedule a service appointment.

公开(公告)号：US20190212712A1

公开(公告)日：2019-07-11

申请号：US16352536

申请日：2019-03-13

Applicant: Johnson Controls Technology Company

Inventor： Michael J. Wenzel ,  Mohammad N. ElBsat ,  Kirk H. Drees

IPC: G05B17/02 ,  G06Q50/16 ,  G01R21/133 ,  G05B15/02 ,  H02J13/00 ,  G06Q10/06 ,  G06Q50/06

Abstract: A method for operating HVAC equipment includes obtaining building data for each of a plurality of time steps. The building data relates to resource usage of HVAC equipment. The method also includes calculating a recursive residual for each of a plurality of overlapping time periods using the building data. Each overlapping time period includes a subset of the plurality of time steps. The method also includes, for each of the plurality of time steps, calculating a metric based on the recursive residuals for overlapping time periods that end on or before the time step and automatically detecting a change in static factors for one or more buildings served by the HVAC equipment by comparing the metrics for the plurality of time steps based on a statistical property of the metrics.

公开(公告)号：US20190206000A1

公开(公告)日：2019-07-04

申请号：US16352612

申请日：2019-03-13

Applicant: Johnson Controls Technology Company

Inventor： Mohammad N. ElBsat ,  Michael J. Wenzel ,  Robert D. Turney

IPC: G06Q50/06 ,  G05B13/04 ,  H02J3/14 ,  H02J3/32 ,  G06Q10/06

CPC classification number: G06Q50/06 ,  G05B13/041 ,  G06Q10/06315 ,  H02J3/14 ,  H02J3/32 ,  H02J3/383 ,  H02J2003/003 ,  H02J2003/007

Abstract: A building energy system includes a controller configured to obtain representative loads and rates for a plurality of scenarios and generate a cost function comprising a risk attribute and multiple demand charges. Each of the demand charges corresponds to a demand charge period and defines a cost based on a maximum amount of at least one of the energy resources purchased within the corresponding demand charge period. The controller is configured to determine, for each of the multiple demand charges, a peak demand target for the corresponding demand charge period by performing a first optimization of the risk attribute over the plurality of the scenarios, allocate an amount of the one or more energy resources to be consumed, produced, stored, or discharged by the building equipment by performing a second optimization subject to one or more constraints based on the peak demand target for each of the multiple demand charges.

公开(公告)号：US10325331B2

公开(公告)日：2019-06-18

申请号：US15199622

申请日：2016-06-30

Applicant: Johnson Controls Technology Company

Inventor： Kirk H. Drees ,  James P. Kummer ,  Michael J. Wenzel

IPC: G06Q50/06 ,  G01R21/00 ,  G06Q10/06 ,  G01R21/133

Abstract: A system for measuring and verifying energy savings resulting from energy conservation measures in a building includes one or more energy meters and a controller. The energy meters are configured to measure an actual amount of building energy usage The controller is configured to determine an actual amount of energy savings resulting from the energy conservation measures during the measurement and verification period and to calculate a least amount of energy savings resulting from the energy conservation measures. The least amount of energy savings is a lower confidence bound on the actual amount of energy savings. The controller is configured to cause a building management system for the building to stop performing a measurement and verification process before a normal end of the measurement and verification period in response to the least amount being greater than a target amount of energy savings to be achieved by the energy conservation measures.

公开(公告)号：US10254721B2

公开(公告)日：2019-04-09

申请号：US15068475

申请日：2016-03-11

Applicant: Johnson Controls Technology Company

Inventor： Michael J. Wenzel ,  Kirk H. Drees

IPC: G05B13/02 ,  G06Q30/02 ,  G06F1/3203 ,  H04L12/14 ,  H04L12/28 ,  G05D23/19 ,  G05F1/66 ,  F24F11/30 ,  F24F11/62 ,  F24F11/46

Abstract: A cascaded control system is configured to control power consumption of a building during a demand limiting period. The cascaded control system includes an energy use setpoint generator and a feedback controller. The energy use setpoint generator is configured to use energy pricing data and measurements of a variable condition within the building to generate an energy use setpoint during the demand limiting period. The feedback controller is configured to use a difference between the energy use setpoint and a measured energy use to generate a control signal for building equipment that operate to affect the variable condition within the building during the demand limiting period.