公开(公告)号：US20230228438A1

公开(公告)日：2023-07-20

申请号：US18126057

申请日：2023-03-24

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Robert D. Turney ,  Matthew J. Ellis ,  Michael J. Wenzel ,  Mohammad N. ELBSAT ,  Juan Esteban Tapiero Bernal ,  Brennan H. Fentzlaff

IPC: F24F11/47 ,  G05D23/19 ,  F24F11/30 ,  F24F11/64 ,  F24F11/58 ,  F24F11/52 ,  F24F11/89 ,  G05B13/04 ,  G05B15/02 ,  F24F11/00

CPC classification number: F24F11/47 ,  G05D23/1904 ,  G05D23/1923 ,  F24F11/30 ,  G05D23/1917 ,  F24F11/64 ,  F24F11/58 ,  F24F11/52 ,  F24F11/89 ,  G05B13/048 ,  G05B15/02 ,  F24F11/00 ,  G05B2219/2614 ,  F24F2110/12

Abstract: A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

公开(公告)号：US11644207B2

公开(公告)日：2023-05-09

申请号：US16598539

申请日：2019-10-10

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Robert D. Turney ,  Matthew J. Ellis ,  Michael J. Wenzel ,  Mohammad N. Elbsat ,  Juan Esteban Tapiero Bernal ,  Brennan H. Fentzlaff

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

CPC classification number: F24F11/47 ,  F24F11/00 ,  F24F11/30 ,  F24F11/52 ,  F24F11/58 ,  F24F11/64 ,  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 thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

公开(公告)号：US20220206474A1

公开(公告)日：2022-06-30

申请号：US17698653

申请日：2022-03-18

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 controller is provided for building equipment including a plurality of devices that operate in parallel to affect an environmental condition of a building. The controller includes one or more processing circuits including one or more processors and memory. The memory store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include lowering an upper bound or raising a lower bound of one or more constraints based on a minimum off schedule or a minimum on schedule for the building equipment, performing an optimization of an objective function subject to the one or more constraints to generate control decisions for the building equipment, and operating the building equipment in accordance with the control decisions to affect the environmental condition of the building.

公开(公告)号：US20220034543A1

公开(公告)日：2022-02-03

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

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：US11913655B2

公开(公告)日：2024-02-27

申请号：US17558909

申请日：2021-12-22

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Timothy C. Gamroth ,  Michael J. Wenzel ,  Mohammad N. ElBsat ,  David S. Eidson ,  James Burke ,  Kirk H. Drees ,  Thomas M. Seneczko

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

CPC classification number: F24F11/0001 ,  F24F3/14 ,  F24F8/10 ,  F24F11/39 ,  F24F11/46 ,  F24F11/61 ,  F24F11/64 ,  F24F11/72 ,  G05B13/041 ,  G05B19/042 ,  G16H40/20 ,  G16H50/30 ,  F24F8/22 ,  F24F2110/64 ,  F24F2110/65 ,  F24F2110/70 ,  F24F2110/74 ,  F24F2120/10 ,  F24F2120/20 ,  F24F2140/60 ,  G05B2219/25011 ,  G05B2219/2614

Abstract: A building management system (BMS) for filtering a fluid within a building is shown. The system includes one or more sensors configured to measure one or more characteristics of a first fluid within an air duct of the BMS and measure one or more characteristics of a second fluid after the second fluid has been filtered. The system further includes a pollutant management system configured to receive data from the one or more sensors and control a filtration process. The filtration process selects a filter of a plurality of filters based on at least one of a level of the one or more characteristics of the first fluid or the one or more characteristics of the second fluid.

公开(公告)号：US11846439B2

公开(公告)日：2023-12-19

申请号：US17498553

申请日：2021-10-11

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Parisa Khosravi ,  Mohammad N. Elbsat ,  Michael J. Wenzel

IPC: F24F11/49 ,  G05B15/02 ,  F24F11/63 ,  F24F110/10 ,  F24F140/12

CPC classification number: F24F11/49 ,  F24F11/63 ,  G05B15/02 ,  F24F2110/10 ,  F24F2140/12

Abstract: A system for assessing relative performance among a plurality of heating, ventilation, or air condition (HVAC) assets, the system comprising a processing circuit configured to identify a peer group comprising two or more of the plurality of HVAC assets having a common characteristic, generate values of a peer metric for the HVAC assets in the peer group based on corresponding operation data associated with the HVAC assets, perform a weighted outlier detection process using the values of the peer metric, and initiate an automated action in response to detecting an outlier HVAC asset.

公开(公告)号：US11714393B2

公开(公告)日：2023-08-01

申请号：US17576615

申请日：2022-01-14

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： John H. Burroughs ,  Andrew J. Przybylski ,  Michael J. Wenzel ,  Mohammad N. Elbsat ,  Joseph C. Jones ,  Kirk H. Drees

IPC: G05B19/042 ,  G05B15/02 ,  G05B19/04 ,  F24F11/70 ,  F24F11/47 ,  F24F11/64 ,  F24F11/52 ,  F24F8/10 ,  F24F110/20 ,  F24F140/60 ,  F24F120/20 ,  F24F110/10 ,  G06F30/20 ,  F24F8/22

CPC classification number: G05B19/042 ,  F24F8/10 ,  F24F11/47 ,  F24F11/52 ,  F24F11/64 ,  F24F11/70 ,  F24F8/22 ,  F24F2110/10 ,  F24F2110/20 ,  F24F2120/20 ,  F24F2140/60 ,  G05B15/02 ,  G05B19/04 ,  G05B2219/2614 ,  G06F30/20

Abstract: A controller includes a processing circuit comprising 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 determining a gradient of an objective function with respect to a constraint variable used to define a constraint on a control process that uses the objective function and modifying the constraint variable to have a modified value in response to determining that a trigger condition is satisfied. The trigger condition is based on the gradient. The operations include performing the control process subject to the constraint using the modified value of the constraint variable and operating equipment in accordance with a result of the control process.

公开(公告)号：US20220205668A1

公开(公告)日：2022-06-30

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 ,  F24F11/47 ,  G05B15/02 ,  G05D23/19 ,  F24F11/30 ,  F24F11/58 ,  F24F11/52 ,  F24F11/89 ,  F24F11/00 ,  G05B13/04

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：US20220113045A1

公开(公告)日：2022-04-14

申请号：US17558909

申请日：2021-12-22

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Timothy C. Gamroth ,  Michael J. Wenzel ,  Mohammad N. ElBsat ,  David S. Eidson ,  James Burke ,  Kirk H. Drees ,  Thomas M. Seneczko

IPC: F24F11/00 ,  F24F11/64 ,  F24F11/46 ,  F24F11/72 ,  F24F8/10 ,  F24F3/14 ,  G16H40/20 ,  G16H50/30 ,  G05B19/042 ,  F24F11/39 ,  F24F11/61 ,  G05B13/04

Abstract: A building management system (BMS) for filtering a fluid within a building is shown. The system includes one or more sensors configured to measure one or more characteristics of a first fluid within an air duct of the BMS and measure one or more characteristics of a second fluid after the second fluid has been filtered. The system further includes a pollutant management system configured to receive data from the one or more sensors and control a filtration process. The filtration process selects a filter of a plurality of filters based on at least one of a level of the one or more characteristics of the first fluid or the one or more characteristics of the second fluid.

公开(公告)号：US11288754B2

公开(公告)日：2022-03-29

申请号：US16387356

申请日：2019-04-17

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Mohammad N. ElBsat ,  Michael J. Wenzel ,  Payal Rajendra Pancholi ,  Abhishek Gupta ,  Apoorva Gupta

IPC: G06Q50/06 ,  G06Q10/06

Abstract: A method includes operating equipment to consume energy resources including energy or power purchased from a utility, and obtaining a block-and-index rate profile for a future time period. The block-and-index rate profile includes a block rate and a block size for each of a plurality of sub-periods in the future time period. The block size for a sub-period identifies an amount of energy or power priced at the block rate for the sub-period. The method also includes applying the block-and-index rate profile in an optimization process for the equipment over the time period, running the optimization process, and allocating energy resources to the equipment over the time period in accordance with a result of the optimization process.