公开(公告)号：US11747800B2

公开(公告)日：2023-09-05

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 ,  G06Q30/0282

CPC classification number: G05B23/0283 ,  G05B23/0294 ,  G06Q30/0282

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：US11636429B2

公开(公告)日：2023-04-25

申请号：US16438961

申请日：2019-06-12

Applicant: Johnson Controls Technology Company

Inventor： Michael J. Wenzel ,  Mohammad N. ElBsat ,  Yasutaka Yoshida ,  Mori Hayato ,  Robert D. Turney

IPC: G06Q10/08 ,  G06Q30/08 ,  G06Q10/0875 ,  G06Q10/0835

Abstract: An automatic parts resupply system for building equipment including a model predictive maintenance system configured to determine a service time at which to perform service on the building equipment by performing a predictive optimization of a total cost of operating and servicing the building equipment over a time period. The service time is a decision variable in the predictive optimization. The automatic parts resupply system includes a resupply manager. The resupply manager is configured to generate a parts resupply order for the building equipment based on a result of the predictive optimization. The resupply manager is configured to determine a transmission time at which to transmit the parts resupply order to a parts supplier. The resupply manager is configured to transmit the parts resupply order to the parts supplier at the transmission time.

公开(公告)号：US11454940B2

公开(公告)日：2022-09-27

申请号：US16418715

申请日：2019-05-21

Applicant: Johnson Controls Technology Company

Inventor： Anas W. I. Alanqar ,  Matthew J. Ellis ,  Michael J. Wenzel ,  Mohammad N. ElBsat

IPC: G05B13/04 ,  G06N20/00

Abstract: An environmental control system for a building including building equipment operable to affect a variable state or condition of the building. The system includes a controller including a processing circuit. The processing circuit can obtain training data relating to operation of the building equipment and can perform a system identification process to identify parameters of a system model using the training data. The processing circuit can augment the system model with a disturbance model and estimate values of a historical heat disturbance in the training data based on the augmented system model. The processing circuit can train one or more heat disturbance models based on the training data and the estimated values. The processing circuit can predict a heat disturbance using the augmented system model along with the one or more heat disturbance models and can control the building equipment based on the predicted heat disturbance.

公开(公告)号：US11274849B2

公开(公告)日：2022-03-15

申请号：US16588467

申请日：2019-09-30

Applicant: Johnson Controls Technology Company

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 ,  F24F140/60 ,  F24F130/10 ,  F24F110/12 ,  F24F140/50 ,  F24F110/10 ,  F24F11/62 ,  F24F11/46 ,  F24F11/65

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：US11036249B2

公开(公告)日：2021-06-15

申请号：US16383228

申请日：2019-04-12

Applicant: Johnson Controls Technology Company

Inventor： Mohammad N. ElBsat

IPC: G05F1/66 ,  G05B13/02 ,  H02J13/00 ,  G06Q10/04 ,  G06Q50/06 ,  H02J3/32 ,  G05B15/02 ,  H02J7/00 ,  H02J3/00

Abstract: An energy storage system for a building includes a battery and an energy storage controller. The battery is configured to store electrical energy purchased from a utility and to discharge stored electrical energy for use in satisfying a building energy load. The energy storage controller is configured to generate a cost function including a peak load contribution (PLC) term. The PLC term represents a cost based on electrical energy purchased from the utility during coincidental peak hours in an optimization period. The controller is configured to modify the cost function by applying a peak hours mask to the PLC term. The peak hours mask identifies one or more hours in the optimization period as projected peak hours and causes the energy storage controller to disregard the electrical energy purchased from the utility during any hours not identified as projected peak hours when calculating a value for the PLC term.

公开(公告)号：US11022947B2

公开(公告)日：2021-06-01

申请号：US15974443

申请日：2018-05-08

Applicant: Johnson Controls Technology Company

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 ,  G05B19/042 ,  G06Q30/02 ,  G06Q50/06 ,  G05B15/02 ,  H02J3/38 ,  H02J3/32 ,  H02J3/00

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 (ELDR) 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：US20200218233A1

公开(公告)日：2020-07-09

申请号：US16240466

申请日：2019-01-04

Applicant: Johnson Controls Technology Company

Inventor： Mohammad N. ElBsat ,  Michael J. Wenzel

IPC: G05B19/418 ,  G05B13/04 ,  G05F1/66 ,  G06Q50/06

Abstract: A building system includes building equipment operable to consume one or more resources and a control system configured to generate, based on a prediction model, predictions of a load on the building equipment or a price of the one or more resources for a plurality of time steps in an optimization period, solve, based on the predictions, an optimization problem to generate control inputs for the equipment that minimize a predicted cost of consuming the resources over the optimization period, control the building equipment to operate in accordance with the control inputs, monitor an error metric that characterizes an error between the predictions and actual values of the at least one of the load on the building equipment or the price of the one or more resources during the optimization period, detect an occurrence of a trigger condition, and in response to detecting the trigger condition, update the prediction model.

公开(公告)号：US20190295034A1

公开(公告)日：2019-09-26

申请号：US16438961

申请日：2019-06-12

Applicant: Johnson Controls Technology Company

Inventor： Michael J. Wenzel ,  Mohammad N. ElBsat ,  Yasutaka Yoshida ,  Mori Hayato ,  Robert D. Turney

IPC: G06Q10/08 ,  G06Q30/08

Abstract: An automatic parts resupply system for building equipment including a model predictive maintenance system configured to determine a service time at which to perform service on the building equipment by performing a predictive optimization of a total cost of operating and servicing the building equipment over a time period. The service time is a decision variable in the predictive optimization. The automatic parts resupply system includes a resupply manager. The resupply manager is configured to generate a parts resupply order for the building equipment based on a result of the predictive optimization. The resupply manager is configured to determine a transmission time at which to transmit the parts resupply order to a parts supplier. The resupply manager is configured to transmit the parts resupply order to the parts supplier at the transmission time.

公开(公告)号：US20190032943A1

公开(公告)日：2019-01-31

申请号：US16048092

申请日：2018-07-27

Applicant: Johnson Controls Technology Company

Inventor： Graeme Willmott ,  John H. Burroughs ,  Mohammad N. ElBsat ,  Michael J. Wenzel ,  Matthew J. Asmus

IPC: F24F11/46 ,  G05B13/04 ,  G05B15/02

Abstract: Disclosed herein are a system, a method, and a non-transitory computer readable medium for operating an energy plant. In one aspect, the system obtains thermal energy load allocation data indicating time dependent thermal energy load of the energy plant. The system determines, for a time period, an operating state of the energy plant from a plurality of predefined operating states based on the thermal energy load allocation data. The system determines operating parameters of the energy plant according to the determined operating state. The system operates the energy plant according to the determined operating parameters.

公开(公告)号：US10186889B2

公开(公告)日：2019-01-22

申请号：US15247886

申请日：2016-08-25

Applicant: Johnson Controls Technology Company

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

IPC: H01M10/44 ,  H01M10/46 ,  H02J7/00 ,  H02J3/14 ,  H02J3/32 ,  H02J3/38 ,  H02S40/32 ,  H02J7/35 ,  H02J3/00 ,  H02J13/00

Abstract: A frequency response optimization system includes a battery configured to store and discharge electric power, a power inverter configured to control an amount of the electric power stored or discharged from the battery at each of a plurality of time steps during a frequency response period, and a frequency response controller. The frequency response controller is configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, use the statistics of the regulation signal to generate an optimal frequency response midpoint that achieves a desired change in a state-of-charge (SOC) of the battery while participating in a frequency response program, and use the midpoints to determine optimal battery power setpoints for the power inverter. The power inverter is configured to use the optimal battery power setpoints to control the amount of the electric power stored or discharged from the battery.