公开(公告)号：US11281198B2

公开(公告)日：2022-03-22

申请号：US16428548

申请日：2019-05-31

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Jared W. Fread ,  Graeme Willmott ,  Ryan C. Beaty ,  Shawn A. Schlagenhaft ,  Matthew J. Ellis ,  Michael J. Wenzel

IPC: G05B19/418

Abstract: A control system for a central plant having subplants including devices operating to serve energy loads of a building. The system includes a high level optimization module that performs high level optimization of thermal loads subject to constraints to generate subplant load allocations. The control system includes a low level optimization module that performs low level optimization of the subplant load allocations to determine operating states for the devices. The control system includes a constraint modifier that modifies the constraints for the high level optimization module based on equipment schedules. The control system also includes a binary optimization modifier including a pruner module that receives the minimum off schedule to determine adjusted branches and a seeder module that receives the minimum on schedule to determine a starting node for use in binary optimization performed by the low optimization module.

公开(公告)号：US12282306B2

公开(公告)日：2025-04-22

申请号：US17733786

申请日：2022-04-29

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Michael J. Wenzel ,  Anas W. I. Alanqar ,  Matthew J. Asmus ,  Ryan A Baumgartner ,  Ryan C. Beaty ,  Shawn A. Schlagenhaft ,  Homero L. Noboa ,  Steven R. Vitullo

IPC: G05B19/042 ,  H02J3/00

Abstract: A method includes providing a control algorithm that may include a constraint constraining production of the equipment below maximum values for a plurality of time steps, and dynamically adjusting the constraint by updating the maximum values as a function of predicted values of a dynamic variable for the plurality of time step. The dynamic variable affects an actual maximum production of the equipment. The method includes determining control decisions for the plurality of time steps by executing the control algorithm and controlling the equipment in accordance with the control decisions.

公开(公告)号：US12264828B2

公开(公告)日：2025-04-01

申请号：US16927318

申请日：2020-07-13

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Clay G. Nesler ,  Kirk H. Drees ,  Matthew J. Deloge ,  Jonathan D. Douglas ,  Timothy C. Gamroth ,  Michael J. Wenzel ,  Robert D. Turney ,  Mohammad N. ElBsat ,  Joseph F. Mann ,  Matthew J. Ellis ,  Serdar Suindykov ,  James Burke ,  Thomas M. Seneczko ,  David S. Eidson ,  Ganesh Kalpundi ,  Renee Clair ,  Anza D'Antonio ,  Mark L. Ziolkowski

IPC: F24F11/64 ,  F24F3/14 ,  F24F8/10 ,  F24F11/00 ,  F24F11/39 ,  F24F11/46 ,  F24F11/61 ,  F24F11/72 ,  G05B13/04 ,  G05B19/042 ,  G16H40/20 ,  G16H50/30 ,  F24F8/22 ,  F24F110/64 ,  F24F110/65 ,  F24F110/70 ,  F24F110/74 ,  F24F120/10 ,  F24F120/20 ,  F24F140/60

Abstract: Systems and methods for reducing health risks with respect to an infectious disease in buildings. Health data for an infectious diseases is used to determine a health risk level for building spaces and individuals in the building. An air handling action or a disinfection action is performed based on the health risk level.

公开(公告)号：US20240212073A1

公开(公告)日：2024-06-27

申请号：US18400783

申请日：2023-12-29

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Michael J. Wenzel

IPC: G06Q50/06 ,  F01K13/00 ,  F01K13/02 ,  G05B13/04 ,  G06Q10/20 ,  G06Q30/0283

CPC classification number: G06Q50/06 ,  F01K13/00 ,  F01K13/02 ,  G05B13/042 ,  G06Q10/20 ,  G06Q30/0283

Abstract: A control system for cost optimal operation of an energy facility including equipment includes a controller configured to provide a cost function comprising a cost term defining a cost as a function of a rate variable and an equipment usage variable, simulate the cost of operating the energy facility over an optimization period at each of a plurality of different values of the rate variable which define a plurality of different costs per unit of the equipment usage variable, select a value of the rate variable that results in a lowest cost of operating the energy facility over the optimization period, perform an online optimization of the cost function with the rate variable set to the selected value to generate one or more setpoints for the equipment, and operate the equipment during the optimization period in accordance with the generated setpoints.

公开(公告)号：US12002121B2

公开(公告)日：2024-06-04

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: G05B13/02 ,  G06Q30/0283 ,  G06Q50/06

CPC classification number: G06Q50/06 ,  G05B13/026 ,  G06Q30/0284 ,  Y04S10/50

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：US20240142930A1

公开(公告)日：2024-05-02

申请号：US18487816

申请日：2023-10-16

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Jason Pelski ,  James Callanan ,  Edward Gerard McNamara ,  Michael J. Wenzel ,  Robbie Glen Davis ,  Shawn D. Schubert ,  Evan O'Gorman ,  Himanshu Gupta ,  Kristian Koivisto-Kokko ,  Ashteya Biharisingh

IPC: G05B19/042

CPC classification number: G05B19/042 ,  G05B2219/25011

Abstract: A building system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to ingest information comprising at least one of occupancy information or energy usage information associated with a building. The instructions further cause the one or more processors to generate a space usage recommendation based on the information. The instructions further cause the one or more processors to cause a graphical model of the building to include a representation of the information and the space usage recommendation. The instructions further cause the one or more processors to cause a display device of a user device to display the graphical model within a user interface.

公开(公告)号：US11927357B2

公开(公告)日：2024-03-12

申请号：US17689670

申请日：2022-03-08

Applicant: Johnson Controls Tyco IP Holdings LLP

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

CPC classification number: F24F11/64 ,  F24F11/00 ,  F24F11/30 ,  F24F11/47 ,  F24F11/52 ,  F24F11/58 ,  F24F11/89 ,  G05B13/048 ,  G05B15/02 ,  G05D23/1904 ,  G05D23/1917 ,  G05D23/1923 ,  F24F11/46 ,  F24F11/62 ,  F24F11/65 ,  F24F2110/10 ,  F24F2110/12 ,  F24F2130/10 ,  F24F2140/50 ,  F24F2140/60 ,  G05B2219/2614

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：US11888676B2

公开(公告)日：2024-01-30

申请号：US17689569

申请日：2022-03-08

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Andrew J. Przybylski ,  John H. Burroughs ,  Michael J. Wenzel

IPC: G06F30/18 ,  H04L41/00 ,  G16Y40/35 ,  G16Y10/80 ,  G16Y20/30 ,  G16Y20/10 ,  G06Q50/06

CPC classification number: H04L41/00 ,  G06F30/18 ,  G16Y10/80 ,  G16Y20/10 ,  G16Y20/30 ,  G16Y40/35 ,  G05B2219/2614 ,  G06Q50/06 ,  Y02B30/00

Abstract: Systems and methods for automatically commissioning and operating a heating, ventilation, or air conditioning (HVAC) system for a building site are provided. An exemplary method includes constructing a model using physical equipment of the HVAC system and relationships between the physical equipment. The model indicates connections between the physical equipment and one or more resources produced or consumed by the physical equipment. The method includes generating a mapping between points of the physical equipment at the building site and corresponding variables of the model, using the model to generate values of one or more control variables of the model, and operating the physical equipment by providing the values of the control variables to corresponding points of the physical equipment based on the mapping.

公开(公告)号：US11861741B2

公开(公告)日：2024-01-02

申请号：US17839082

申请日：2022-06-13

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Michael J. Wenzel

IPC: G05B13/04 ,  G06Q50/06 ,  F01K13/02 ,  F01K13/00 ,  G06Q10/20 ,  G06Q30/0283

CPC classification number: G06Q50/06 ,  F01K13/00 ,  F01K13/02 ,  G05B13/042 ,  G06Q10/20 ,  G06Q30/0283

Abstract: A control system for cost optimal operation of an energy facility including equipment includes a controller configured to provide a cost function comprising a cost term defining a cost as a function of a rate variable and an equipment usage variable, simulate the cost of operating the energy facility over an optimization period at each of a plurality of different values of the rate variable which define a plurality of different costs per unit of the equipment usage variable, select a value of the rate variable that results in a lowest cost of operating the energy facility over the optimization period, perform an online optimization of the cost function with the rate variable set to the selected value to generate one or more setpoints for the equipment, and operate the equipment during the optimization period in accordance with the generated setpoints.

公开(公告)号：US20230354562A1

公开(公告)日：2023-11-02

申请号：US18308422

申请日：2023-04-27

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Anas W. I. Alanqar ,  Michael J. Wenzel ,  Michael J. Sweeney

IPC: H05K7/20

CPC classification number: H05K7/20836 ,  H05K7/20827

Abstract: A method of controlling a direct evaporative cooling unit includes predicting water consumption and energy consumption of the direct evaporative cooling unit based on possible supply air temperatures of the direct evaporative cooling unit, selecting a target supply air temperature based on an optimization of an objective function, the objective function comprising the water consumption and energy consumption, and controlling the direct evaporative cooling unit in accordance with the target supply air temperature.