Johnson Controls Technology Company

Johnson Controls Tyco IP Holdings Llp

Tyco Fire + Security Gmbh

James P Kummer

Kirk H Drees

Michael J Wenzel

Clay G Nesler

John Ismael Ruiz

Paul Harrison Rode

Derek Supple

Marc D Andraca

Matthew J Asmus

Peter A Craig

Nicole Ann Madison

Carol T Tumey

Mohammad N ElBsat

Andrew J Boettcher

Abhishek Gupta

Dennis J Flood

Payal Pancholi

Tricia J Valentine

Collin W Eggert

Robert D Turney

Lisa E Strand

Michael James Risbeck

Joseph P Carmody

Michael F Jaeger

Peter A Kinsella

Joel Meine

Systems and methods for controlling building equipment include simulating operation of the building equipment at a plurality of initial points to generate corresponding values of a first control objective and a second control objective that competes with the first control objective, automatically generating a new point at which to run a new simulation based on the plurality of initial points and the corresponding values of the control objectives, running the new simulation at the new point to generate corresponding values of the control objectives, classifying a subset of the plurality of initial points and the new point as Pareto-optimal points based on the corresponding values of the control objectives, and operating the building equipment at a Pareto-optimal point selected from the subset of the plurality of initial points and the new point classified as Pareto-optimal points.

Systems and methods for assessing and controlling sustainability of an energy plant

A building manager includes a communications interface configured to receive time-of-use information from a smart energy grid and a processing circuit configured to process the time-of-use information received from the smart energy grid to generate load shedding decisions for building subsystems or devices including determining when to utilize energy from energy storage equipment. The processing circuit is configured to determine an amount of greenhouse gas emissions corresponding to the load shedding decisions and convert the amount of greenhouse gas emissions into tradable carbon credits. The processing circuit is configured to generate a graphical user interface including modules indicating the amount of greenhouse gas emissions, the tradable carbon credits, or energy savings resulting from the load shedding decisions. The processing circuit is configured to rearrange, resize, or reconfigure the modules or change the modules for different modules in response to a user input or selection provided via the graphical user interface.

Smart building manager

A building manager includes a communications interface configured to receive information from a smart energy grid. The building manager further includes an integrated control layer configured to receive inputs from and to provide outputs to a plurality of building subsystems. The integrated control layer includes a plurality of control algorithm modules configured to process the inputs and to determine the outputs. The building manager further includes a fault detection and diagnostics layer configured to use statistical analysis on the inputs received from the integrated control layer to detect and diagnose faults. The building manager yet further includes a demand response layer configured to process the information received from the smart energy grid to determine adjustments to the plurality of control algorithms of the integrated control layer.

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.

Building energy optimization system with economic load demand response (ELDR) optimization and ELDR user interfaces

Systems and methods for generating graphical elements in a user interface are shown according to various embodiments. Various plant designs may be simulated under scenario conditions to predict energy usage and cost. A user may indicate to perform an economic feasibility analysis for one or more simulated plant designs. Financial performance data may be generated for the one or more plant designs according to one or more analysis parameters. Financial performance data may be a Net Present Value, Internal Rate of Return, or Payback period. A graphical element may be generated in a user interface to present the generated financial performance data. Financial performance data may be compared to threshold values to determine if the plant design is acceptable. Financial performance data can be compared for different plant designs to choose the optimal plant design.

Systems and methods for assessing economic feasibility of an energy plant

A system for monitoring and controlling a central plant includes a high level optimizer, a subplant monitor, a user interface, and a dispatch graphical user interface (GUI) generator. The central plant includes a plurality of subplants configured to serve a thermal energy load. The high level optimizer is configured to determine recommended subplant loads for each of the plurality of subplants. The subplant monitor is configured to monitor the central plant and identify actual subplant loads for each of the plurality of subplants. The user interface is configured to receive manual subplant loads specified by a user. The dispatch GUI generator is configured to generate a dispatch GUI and present the dispatch GUI via the user interface. The dispatch GUI includes the recommended subplant loads, the actual subplant loads, and the manual subplant loads.

Systems and methods for monitoring and controlling a central plant

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.

A central plant optimization system for designing and operating a central plant includes a planning tool, a central plant controller, and an optimization platform. The planning tool is configured to generate a model of the central plant. The central plant controller is configured to receive the model of the central plant from the planning tool and combine the model of the central plant with timeseries data including a timeseries of predicted energy loads to be served by equipment of the central plant. The optimization platform is configured to receive the model of the central plant combined with the timeseries data, construct an optimization problem using the model of the central plant and the timeseries data, solve the optimization problem to determine an optimal allocation of the energy loads across the equipment of the central plant, and provide optimization results to the central plant controller. The central plant controller is configured to use the optimization results to operate the equipment of the central plant to achieve the optimal allocation of the predicted energy loads.

Central plant optimization system with streamlined data linkage of design and operational data

An energy optimization system for a building includes a processing circuit configured to provide a first bid including one or more first participation hours and a first load reduction amount for each of the one or more first participation hours to a computing system. The processing circuit is configured to operate one or more pieces of building equipment based on one or more first equipment loads and receive one or more awarded or rejected participation hours from the computing system responsive to the first bid. The processing circuit is configured to 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 based on the one or more awarded or rejected participation hours and operate the one or more pieces of building equipment based on the one or more second equipment loads.

Building energy optimization system with automated and dynamic economic load demand response (ELDR) optimization

A system for measuring and verifying energy savings resulting from energy conservation measures in a building includes one or more energy meters and a controller. The energy meters are configured to measure an actual amount of building energy usage The controller is configured to determine an actual amount of energy savings resulting from the energy conservation measures during the measurement and verification period and to calculate a least amount of energy savings resulting from the energy conservation measures. The least amount of energy savings is a lower confidence bound on the actual amount of energy savings. The controller is configured to cause a building management system for the building to stop performing a measurement and verification process before a normal end of the measurement and verification period in response to the least amount being greater than a target amount of energy savings to be achieved by the energy conservation measures.

Systems and methods for measuring and verifying energy usage in a building

Systems and methods for building automation system management are shown and described. The systems and methods relate to fault detection via abnormal energy monitoring and detection. The systems and methods also relate to control and fault detection methods for chillers. The systems and methods further relate to graphical user interfaces for use with fault detection features of a building automation system.

Automated fault detection and diagnostics in a building management system

Display screen or portion thereof with graphical user interface

A building management system (BMS) includes a baseline model generator configured to receive an initial set of predictor variables for potential use in an energy usage model for a building, generate a first set of coefficients for the baseline energy usage model based on the initial set of predictor variables, remove one of the predictor variables from the initial set of predictor variables to create a subset of the initial set of predictor variables, generate a second set of coefficients for the baseline energy usage model based on the subset of the initial set of predictor variables, calculate a test statistic for the removed variable using a difference between the first set of coefficients and the second set of coefficients, and automatically select the removed predictor variable for use in the baseline energy usage model in response the test statistic exceeding a critical value.

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Wales, WI, United States of America

James P Kummer