Johnson Controls Technology Company

Johnson Controls Tyco IP Holdings Llp

Con Edison Battery Storage, LLC

Tyco Fire & Security Gmbh

Johnson Service Company

Johnson Controls Technology LLC

Taurus Des, LLC

Johnson Controls Gmbh

Kirk H Drees

Michael J Wenzel

Mohammad N ElBsat

James P Kummer

Homero L Noboa

Jonathan D Douglas

Robert D Turney

Brennan H Fentzlaff

Michael Risbeck

Clay G Nesler

Brett M Lenhardt

John Ismael Ruiz

Young Min Lee

Andrew J Boettcher

Paul Harrison Rode

Derek Supple

Marc D Andraca

Timothy I Salsbury

John E Seem

Matthew J Asmus

Carlos Felipe Alcala Perez

Timothy C Gamroth

Marcello Passoni

Gerald A Duenkel

Zhanhong Jiang

Herbert J Doll

Matthew J Ellis

Andrew J Przybylski

Shawn D Schubert

Camille M Aucoin

Thomas M Seneczko

John M House

Vineet Binodshanker Sinha

James Byron Burke

John H Burroughs

Sugumar Murugesan

Radu M Dorneanu

Vivek V Gupta

Abu Bakr Khan

Mark T Fischbach

Viswanath Ramamurti

David S Eidson

Nebil Ben-Aissa

Rachel A Glanzer

Craig Evan Trivelpiece

Joseph Piccolo, Iii

Kevin A Weiss

Steven R Vitullo

Gaylon M Decious

Jonathan D West

Michael James Risbeck

Ryan A Baumgartner

Duane S Freimuth

William R Kuckuk

Jack A Peterson

Alex Bernaden, Iii

Sudhi R Sinha

Vaidhyanathan Venkiteswaran

Karl F Reichenberger

Walter Andrew Martin

Curtis Christian Crane

Kenneth J Sieth

Miguel Galvez

Gary A Romanowich

Graeme Willmott

Ryan A Piaskowski

David E Rasmussen

Russell T Jenks

Justin Patrick Kauffman

Donald A Gottschalk

Bernard Clement

Thomas O Kautz

Christopher Merkl

John T Pierson

Jason T Sawyer

Dimitrios S Papadopoulos

Juan Esteban Tapiero Bernal

Dinesh Trikha

Donald R Albinger

Rachel D M Ellerman

Daniel M Curtis

Jeffrey J Gloudeman

Hunter R Hobgood

Kyle M Bero

George J Janu

Nicholas P Prato

Mohammad N EIBsat

Siddharth Goyal

Juliet A Pagliaro Herman

Serdar Suindykov

Mark L Ziolkowski

Victor Zavala Tejeda

Dominic B Ticali

Bin Chen

Jeffry M Papendorf

Joseph C Jones

Robert R Freimuth, Ii

Bernard P Clement

Mark W Tellier

A method for controlling building equipment includes providing a user interface comprising a graphical representation of a relationship between a carbon emissions control objective and a second control objective that competes with the carbon emissions control objective over a range of control strategies for the building equipment, and assigning a weight to the carbon emissions control objective or the second control objective in an objective function. The weight is associated with a control strategy that corresponds to a user selection based on the graphical representation. The method also includes generating control decisions for the building equipment using the objective function with the weight assigned to the carbon emissions control objective or the second control objective and operating the building equipment in accordance with the control decisions.

Building control system with multi-objective control of carbon emissions and occupant comfort

A building system operates to receive air quality measurements of a plurality of spaces of the building from a mobile air quality sensor, the mobile air quality sensor configured to collect the air quality measurements of the plurality of spaces while the mobile air quality sensor moves throughout the plurality of spaces of the building and provide the collected air quality measurements to the one or more processors. The air quality measurements include data identifying locations and times at which the air quality measurements were collected The building system operates to cause the one or more processors to store information, or a link to the information, in a database based on the collected air quality measurements, the database including a contextual representation of the plurality of spaces of the building and perform at least one operation using the information based on the air quality measurements.

Building data platform with air quality analysis based on mobile air quality sensors

A controller for heating, ventilation, or air conditioning (HVAC) equipment operable to affect an environmental condition of a building is configured to obtain predictive models that predict values of an energy control objective and an air quality control objective as a function of control decision variables for the HVAC equipment. The controller executes a multi-objective optimization process using the predictive models to produce multiple sets of optimization results corresponding to different values of the control decision variables, the energy control objective, and the air quality control objective. The controller selects one or more of the sets of optimization results based on the values of the energy control objective and the air quality control objective. The controller operates the HVAC equipment to affect the environmental condition of the building in accordance with the values of the control decision variables corresponding to a selected set of the optimization results.

Building HVAC system with multi-objective optimization control

A frequency response optimization system includes a battery, a power inverter, and a frequency response controller. The battery is configured to store and discharge electric power. The power inverter is configured to control an amount of the electric power stored or discharged from the battery. The frequency response controller includes a high level controller configured to determine values of clipping parameters and a low level controller configured to use the values of the clipping parameters to modify battery power setpoints. The power inverter is configured to use the modified battery power setpoints to control the amount of the electric power stored or discharged from the battery.

Frequency response control system with clipping parameter determination

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 management system (BMS) operates a plurality of HVAC devices to affect a physical state or condition and detects a fault condition at a second HVAC device affected by the physical state or condition and having causal relationships with the plurality of HVAC devices such that faulty operation of one or more of the plurality of HVAC devices causes a detectable effect at the second HVAC device. The BMS identifies, based on the fault condition, a predetermined set of system parameters corresponding to the fault condition and comprising a plurality of system parameters of the plurality of HVAC devices that are potential causes of the fault condition. The BMS retrieves operating data for the predetermined set of system parameters and transmits a signal to display a user interface comprising the operating data on a display screen.

HVAC system with data driven user interface for equipment commissioning and operation

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.

Air quality control and disinfection system

A building system that operates to receive a plurality of data samples from building equipment of the building and identity whether one or more data samples of the plurality of data samples are anomalous indicating that one or more pieces of the building equipment are possibly experiencing a fault. The building system operates to generate one or more data health scores for the building equipment based on whether the one or more data samples are anomalous, the one or more data health scores indicating quality levels of the plurality of data samples and generate user interface data configured to cause a user device to display a user interface providing indications of the one or more pieces of building equipment that are possibly experiencing the fault and the one or more data health scores.

Building system for building equipment with fault based data health operations

A heating, ventilation, or air conditioning system (HVAC) design and operational tool includes 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 including obtaining a dynamic temperature model and a dynamic infectious quanta model for one or more building zones, determining an infection probability, and performing a plurality of simulations for a plurality of different equipment configurations using the dynamic temperature model, the dynamic infectious quanta model, and the infection probability to generate results. The operations include generating, using the results of the plurality of simulations, at least one of design including one or more recommended design parameters data or operational data including one or more recommended operational parameters for the HVAC system and initiating an automated action using at least one of the design data or the operational data.

HVAC system design and operational tool for building infection control

A controller for equipment that operate to provide heating or cooling to a building or campus includes a processing circuit configured to obtain utility rate data indicating a price of resources consumed by the equipment to serve energy loads of the building or campus, obtain an objective function that expresses a total monetary cost of operating the equipment over an optimization period as a function of the utility rate data and an amount of the resources consumed by the equipment, determine a relationship between resource consumption and load production of the equipment, optimize the objective function over the optimization subject to a constraint based on the relationship between the resource consumption and the load production of the equipment to determine a distribution of the load production across the equipment, and operate the equipment to achieve the distribution.

High level central plant optimization

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.

Building energy storage system with planning tool

A building system of a building including one or more memory devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive water usage data from one or more network connected water valves, the water usage data indicating water usage by one or more occupants within the building. The instructions cause the one or more processors to derive one or more health metrics indicating physical health of the one or more occupants based on the water usage data and cause one or more pieces of building equipment to perform one or more operations based on values of the one or more health metrics, the one or more operations improving the physical health of the one or more occupants.

Building system with occupant health analysis based on water usage

A building system operates to receive building data from one or more building data sources associated with the building, wherein at least a portion of the building data is associated with control of the one or more environmental conditions of the building and generate, based on the building data, one or more data quality indicators for the building data received from the one or more building data sources, the one or more data quality indicators indicating quality levels of the building data. The building system operates to generate user interface data configured to cause a user device to display a user interface providing indications of the one or more data quality indicators.

Building system for building equipment with data health operations

A system includes a processing circuit configured to provide an energy use setpoint based on energy data including an energy characteristic and subject to a constraint based on a variable condition of a building. The processing circuit is configured to estimate a value for the energy use setpoint that will result in the variable condition of the building satisfying the constraint and provide a control signal for equipment based on a difference between the energy use setpoint and a measured energy use.

Cascaded systems and methods for controlling energy use during a demand limiting period

A system that modifies an environmental condition of a building zone is provided. The system includes an airside processing circuit and a waterside processing circuit. The airside processing circuit drives a damper actuator to a first setpoint based on an air flow rate setpoint and a first pressure measurement, receives an air flow error signal based on the air flow rate setpoint and a second pressure measurement, determines a setpoint based on the air flow error signal, and drives the damper actuator to the second setpoint. The waterside processing circuit drives a valve actuator to a first setpoint based on a fluid flow rate setpoint and a first flow rate measurement, receives a fluid flow error signal based on the fluid flow rate setpoint and a second flow rate measurement, determines a second setpoint based on the fluid flow error signal, and drives the valve actuator to the second setpoint.

HVAC system with waterside and airside disturbance rejection

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Cedarburg, WI, United States of America

Kirk H Drees