公开(公告)号：US11768003B2

公开(公告)日：2023-09-26

申请号：US17491840

申请日：2021-10-01

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： John H. Burroughs ,  Andrew J. Przybylski ,  Matthew J. Ellis ,  Mohammad N. ElBsat ,  Michael J. Wenzel

IPC: G05B19/042 ,  F24F11/63 ,  F24F140/60 ,  F24F140/00

CPC classification number: F24F11/63 ,  G05B19/042 ,  F24F2140/00 ,  F24F2140/60 ,  G05B2219/2614

Abstract: A controller for a building control system includes processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations including identifying zones within a building, analyzing data associated with the zones, and generating zone groupings based on the data associated with the zones. Each of the zone groupings define zone groups and specify which of the zones are grouped together to form each of the zone groups. The operations also include identifying a particular zone grouping from zone groupings based on the data associated with zones and using the particular zone grouping to generate control signals to operate equipment of the building control system to provide heating or cooling to the zones.

公开(公告)号：US11762377B2

公开(公告)日：2023-09-19

申请号：US17692875

申请日：2022-03-11

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Andrew J. Przybylski ,  Michael J. Wenzel ,  Matthew J. Ellis ,  Jon T. Mueller

IPC: G05B19/418

CPC classification number: G05B19/41885 ,  G05B2219/32015 ,  G05B2219/32359 ,  G05B2219/42058

Abstract: Systems and methods for modeling and controlling entities of a building system are provided. An exemplary method includes comparing an input indicating a new entity or connection between entities of a building system to a data model for the building system to determine whether the new entity or connection is represented in the data model, extending the data model to define the new entity or connection in response to determining that the new entity or connection is not represented in the data model, and using the data model with the new entity or connection in a control strategy to generate control decisions for the entities of the building system.

公开(公告)号：US11703246B2

公开(公告)日：2023-07-18

申请号：US17388776

申请日：2021-07-29

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Anas W. I. Alanqar ,  Michael J. Wenzel ,  Mohammad N. Elbsat

IPC: F24F11/32 ,  F24F11/63 ,  G05B23/02 ,  G05B19/042

CPC classification number: F24F11/63 ,  F24F11/32 ,  G05B19/042 ,  G05B23/0283 ,  G05B2219/2614

Abstract: A method for automatically adapting a predictive model used to control a heating, ventilation, or air conditioning (HVAC) system in a building to compensate for a detected fault in the HVAC system is shown. The method includes obtaining an indication of the detected fault in the HVAC system or a zone in the building. The method further includes determining a predicted impact of the detected fault on an operational performance of the HVAC system. The method further includes adjusting one or more parameters of the predictive model based on the predicted impact of the detected fault to generate a fault-adapted predictive model. The method further includes operating the HVAC system to control an environmental condition of the building using the fault-adapted predictive model.

公开(公告)号：US11699903B2

公开(公告)日：2023-07-11

申请号：US17330741

申请日：2021-05-26

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel ,  Nicole A. Madison ,  Tricia J. Valentine ,  Collin W. Eggert ,  Matthew J. Asmus ,  James P. Kummer ,  Carol T. Tumey ,  Peter A. Craig

IPC: G05D3/12 ,  G05D5/00 ,  G05D9/00 ,  G05D11/00 ,  G05D17/00 ,  H02J3/00 ,  G05B19/042 ,  G06Q30/0207 ,  G06Q50/06 ,  G05B15/02 ,  H02J3/32 ,  H02J3/38 ,  H02J3/40

CPC classification number: H02J3/003 ,  G05B15/02 ,  G05B19/042 ,  G06Q30/0236 ,  G06Q50/06 ,  G05B2219/2639 ,  H02J3/32 ,  H02J3/38 ,  H02J3/381 ,  H02J3/40 ,  H02J2203/20 ,  H02J2300/24

Abstract: An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (energy) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

公开(公告)号：US20220148102A1

公开(公告)日：2022-05-12

申请号：US17582988

申请日：2022-01-24

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： MOHAMMAD N. ELBSAT ,  Michael J. Wenzel

IPC: G06Q50/06 ,  G05B13/02 ,  G06Q30/02

Abstract: A thermal energy production and control system includes a heat recovery chiller, thermal energy storage, and a controller. The controller uses thermal energy load targets to generate control decisions for the heat recovery chiller and the thermal energy storage for a plurality of time steps of a time period. The control decisions include a first amount of hot thermal energy or cold thermal energy to be generated by the heat recovery chiller at a first time step of the time period and stored in the thermal energy storage and a second amount of the hot thermal energy or the cold thermal energy to be discharged from the thermal energy storage and used to satisfy one or more of the thermal energy load targets for a second time step of the time period. The controller operates the heat recovery chiller and the thermal energy storage in accordance with the control decisions.

公开(公告)号：US11281168B2

公开(公告)日：2022-03-22

申请号：US17071633

申请日：2020-10-15

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel ,  Graeme Willmott ,  Matthew J. Asmus

IPC: G05B13/04 ,  G05F1/66 ,  G05B19/04 ,  F24F11/46 ,  G05B19/042 ,  F24F110/10 ,  F24F140/50

Abstract: Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for operating an energy plant. In one aspect, the system generates a regression model of a produced thermal energy load produced by a supply device of the plurality of devices. The system predicts the produced thermal energy load produced by the supply device for a first time period based on the regression model. The system determines a heat capacity of gas or liquid in the loop based on the predicted produced thermal energy load. The system generates a model of mass storage based on the heat capacity. The system predicts an induced thermal energy load during a second time period at a consuming device of the plurality of devices based on the model of the mass storage. The system operates the energy plant according to the predicted induced thermal energy load.

公开(公告)号：US11275363B2

公开(公告)日：2022-03-15

申请号：US16890124

申请日：2020-06-02

Applicant: Johnson Controls Tyco IP Holdings LLP

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：US20220035357A1

公开(公告)日：2022-02-03

申请号：US17389085

申请日：2021-07-29

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel ,  Jingduo Fan ,  Joshua D. Carl ,  Robert D. Turney

IPC: G05B23/02 ,  G05B15/02 ,  G06N5/04 ,  G06N3/04

Abstract: A method for detecting faults in a building management system (BMS) is shown. The method includes receiving time series data characterizing an operating performance of one or more BMS devices. The method further includes processing the time series data using multiple different fault detection methods to generate multiple fault detection results. The method includes providing the multiple fault detection results as outputs from the multiple different fault detection methods. The method includes applying the multiple fault detection results as inputs to a neural network that determines whether the multiple fault detection results are indicative of a fault condition in the BMS.

公开(公告)号：USRE50110E1

公开(公告)日：2024-09-03

申请号：US18089042

申请日：2022-12-27

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Michael J. Wenzel ,  Mohammad N. Elbsat

IPC: F24F11/47 ,  F24F11/54 ,  F24F11/83 ,  G05B15/02 ,  G06Q10/06 ,  G06Q50/06 ,  F24F140/20 ,  F24F140/50 ,  F24F140/60

CPC classification number: F24F11/47 ,  F24F11/54 ,  F24F11/83 ,  G05B15/02 ,  G06Q10/06 ,  G06Q50/06 ,  F24F2140/20 ,  F24F2140/50 ,  F24F2140/60

Abstract: Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for operating an energy plant. In one aspect, the system generates a regression model of a produced thermal energy load produced by a supply device of the plurality of devices. The system predicts the produced thermal energy load produced by the supply device for a first time period based on the regression model. The system determines a heat capacity of gas or liquid in the loop based on the predicted produced thermal energy load. The system generates a model of mass storage based on the heat capacity. The system predicts an induced thermal energy load during a second time period at a consuming device of the plurality of devices based on the model of the mass storage. The system operates the energy plant according to the predicted induced thermal energy load.

公开(公告)号：US11847617B2

公开(公告)日：2023-12-19

申请号：US16518548

申请日：2019-07-22

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel ,  Jingduo Fan

IPC: G05B23/02 ,  G06Q50/16 ,  G06Q10/20 ,  G06Q10/0635

CPC classification number: G06Q10/20 ,  G05B23/0283 ,  G06Q10/0635 ,  G06Q50/165

Abstract: A model predictive maintenance system for building equipment. The system includes one or more processing circuits including 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. The operations include performing an optimization of an objective function that defines a present value of a total cost of operating the building equipment and performing maintenance on the building equipment as a function of operating decisions and maintenance decisions for the building equipment for time steps within a time period. The total cost includes one or more costs incurred during one or more future time steps of the time period. The operations include operating the building equipment and performing maintenance on the building equipment in accordance with decisions defined by the result of the optimization.