公开(公告)号：US20190325368A1

公开(公告)日：2019-10-24

申请号：US16457314

申请日：2019-06-28

Applicant: Johnson Controls Technology Company

Inventor： ROBERT D. TURNEY ,  SUDHI R. SINHA ,  MICHAEL J. WENZEL ,  MOHAMMAD N. ELBSAT

IPC: G06Q10/06 ,  G06Q10/00 ,  G06N5/02

Abstract: A model predictive maintenance (MPM) system for building equipment. The MPM system includes an equipment controller configured to operate the building equipment to affect a variable state or condition in a building. The MPM system includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period. The MPM system includes a budget manager configured to generate one or more budget constraints. The MPM system includes an objective function optimizer configured to optimize an objective function subject to the one or more budget constraints to determine a maintenance and replacement schedule for the building equipment. The objective function includes maintenance and replacement costs of the building equipment and the predicted cost of operating the building equipment.

公开(公告)号：US20180254632A1

公开(公告)日：2018-09-06

申请号：US15474511

申请日：2017-03-30

Applicant: Johnson Controls Technology Company

Inventor： MOHAMMAD N. ELBSAT ,  MICHAEL J. WENZEL ,  KIRK H. DREES

IPC: H02J3/00 ,  H02J5/00 ,  G05B19/042

Abstract: An energy storage system for a building includes a battery asset configured to store electricity and discharge the stored electricity for use in satisfying a building electric load. The system includes a planning tool configured to identify one or more selected functionalities of the energy storage system and generate a cost function defining a cost of operating the energy storage system over an optimization period. The cost function includes a term for each of the selected functionalities. The planning tool is configured to generate optimization constraints based on the selected functionalities, attributes of the battery asset, and the electric energy load to be satisfied. The planning tool is configured to optimize the cost function to determine optimal power setpoints for the battery asset at each of a plurality of time steps of the optimization period.

公开(公告)号：US20210018198A1

公开(公告)日：2021-01-21

申请号：US16738878

申请日：2020-01-09

Applicant: Johnson Controls Technology Company

Inventor： ANAS W. I. ALANQAR ,  MICHAEL J. WENZEL ,  FANG DU ,  MOHAMMAD N. ELBSAT

IPC: F24F11/30 ,  G05B13/04 ,  G05B13/02 ,  F24F11/64 ,  F24F11/65

Abstract: A controller for equipment that operates to affect a variable state or condition of a building including one or more processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include generating a new predictive model using training data associated with one or more durations selected from a time period and selected to satisfy a set of criteria. The predictive model models system dynamics of the building during the time period. The operations include storing the new predictive model in a database including predictive models that model the system dynamics of the building and include comparing performance of the new predictive model and the predictive models stored by the database to select a particular predictive model for controlling the equipment. The operations include using the particular predictive model to generate and provide control signals to the equipment.

公开(公告)号：US20200301408A1

公开(公告)日：2020-09-24

申请号：US16899220

申请日：2020-06-11

Applicant: Johnson Controls Technology Company

Inventor： MOHAMMAD N. ELBSAT ,  MICHAEL J. WENZEL ,  ROBERT D. TURNEY

IPC: G05B23/02 ,  G05B19/042 ,  G06N3/08

Abstract: A model predictive maintenance (MPM) system for building equipment includes one or more processing circuits having 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 including estimating a degradation state of the building equipment, using a degradation impact model to predict an amount of one or more input resources consumed by the building equipment to produce one or more output resources based on the degradation state of the building equipment, generating a maintenance schedule for the building equipment based on the amount of the one or more input resources predicted by the degradation impact model, and initiating a maintenance activity for the building equipment in accordance with the maintenance schedule.

公开(公告)号：US20200218208A1

公开(公告)日：2020-07-09

申请号：US16240028

申请日：2019-01-04

Applicant: Johnson Controls Technology Company

Inventor： ANAS W. I. ALANQAR ,  MATTHEW J. ELLIS ,  MICHAEL J. WENZEL ,  JUAN ESTEBAN TAPIERO BERNAL

IPC: G05B15/02 ,  G05B23/02 ,  G06Q10/04

Abstract: A building management system includes building equipment operable generate training data relating to behavior of a building system and a controller configured to perform a system identification process that includes generating a prediction error function based on the training data and a system model, generating initial guesses of one or more parameters of the system model, running an optimization problem of the prediction error function for a first group of iterations, discarding, after the first group of iterations, a portion of the initial guesses based on one or more criteria and ranking a remaining portion of the initial guesses, running the optimization problem of the prediction error function for a top-ranked initial guess of the remaining portion to local optimality to identify a first set of values of the one or more parameters, and identifying the one or more parameters as having the first set of values.

公开(公告)号：US20190303830A1

公开(公告)日：2019-10-03

申请号：US16294475

申请日：2019-03-06

Applicant: Johnson Controls Technology Company

Inventor： MICHAEL J. WENZEL ,  MOHAMMAD N. ELBSAT

IPC: G06Q10/06 ,  H02J3/14 ,  H04L12/24

Abstract: A method for generating an optimal nominated capacity value for participation in a capacity market program (CMP) includes generating, by a processing circuit, an objective function comprising a nominated capacity term, wherein the nominated capacity term indicates a nominated capacity value, wherein the nominated capacity value is a curtailment value that a facility is on standby to reduce its load by in response to receiving a dispatch from a utility. The method includes optimizing, by the processing circuit, the objective function to determine the optimal nominated capacity value for a program operating period and transmitting, by the processing circuit, the optimal nominated capacity value to one or more systems associated with the CMP to participate in the CMP.