Johnson Controls Technology Company

Johnson Controls Tyco IP Holdings Llp

Tyco Fire & Security Gmbh

Peter A Craig

Youngchoon Park

Gerald A Asp

Vijaya S Chennupati

Vivek Narain

James P Kummer

Carol T Tumey

Michael J Wenzel

Mohammad N ElBsat

Matthew J Asmus

Steven R Vitullo

Andrew J Boettcher

Collin W Eggert

Tricia J Valentine

Robert D Turney

Nicole Ann Madison

Barkha Shah

Michael F Jaeger

Vipul Devre

Nicole A Madison

An energy plant includes a plurality of subplants, a high level optimizer, a low level optimizer, and a controller. The plurality of subplants include a cogeneration subplant configured to generate steam and electricity and a chiller subplant electrically coupled to the cogeneration subplant and configured to consume the electricity generated by the cogeneration subplant. The high level optimizer is configured to determine recommended subplant loads for each of the plurality of subplants. The recommended subplant loads include a rate of steam production and a rate of electricity production of the cogeneration subplant and a rate of electricity consumption of the chiller subplant. The low level optimizer is configured to determine recommended equipment setpoints for equipment of the plurality of subplants based on the recommended subplant loads. The controller is configured to operate the equipment of the plurality of subplants based on the recommended equipment setpoints.

Systems and methods for monitoring and controlling an energy plant

A building energy management system includes building equipment, a data collector, an analytics service, a timeseries database, and an energy management application. The building equipment monitor and control one or more variables in the building energy management system and provide data samples of the one or more variables. The data collector collects the data samples from the building equipment and generates a data timeseries including a plurality of the data samples. The analytics service performs one or more analytics using the data timeseries and generates a results timeseries including a plurality of result samples indicating results of the analytics. The timeseries database stores the data timeseries and the results timeseries. The energy management application retrieves the data timeseries and the results timeseries from the timeseries database in response to a request for timeseries data associated with the one or more variables.

Building energy management system with energy analytics

A method for monitoring or controlling equipment of a building includes receiving a first timeseries comprising first data samples of a first variable monitored or controlled by a system and a second timeseries comprising second data samples of a second variable monitored or controlled by the system. The first data samples are at least partially asynchronous with the second data samples. The method includes synchronizing the first timeseries with the second timeseries by aggregating both the first timeseries and the second timeseries using equivalent aggregation intervals. Aggregating the first timeseries generates a third timeseries comprising aggregated values of the first variable and aggregating the second timeseries generates a fourth timeseries comprising aggregated values of the second variable. The method includes performing an automated operation to monitor or control the equipment of the building using the synchronized data samples of the third timeseries and the fourth timeseries.

Building system with timeseries synchronization

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

A building management system (BMS) includes building equipment, a data collector, a sample aggregator, and an application. The building equipment is operable to monitor and control a variable in the BMS and to provide raw data samples of the variable. The data collector is configured to collect the raw data samples from the building equipment and generate a raw data timeseries including a plurality of the raw data samples. The sample aggregator is configured to automatically generate a data rollup timeseries including a plurality of aggregated data samples. The aggregated data samples are generated by aggregating the raw data samples as the raw data samples are collected from the building equipment. Both timeseries are stored in a timeseries database. The application is configured to retrieve the raw data timeseries and the data rollup timeseries from the timeseries database in response to a request for timeseries data associated with the variable.

Building management system with virtual points and optimized data integration

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

A building energy management includes building equipment, one or more data platform services, a timeseries database, and an energy management application. The building equipment operate to monitor and control a variable and provide raw data samples of a data point associated with the variable. The timeseries database stores a plurality of timeseries associated with the data point. The plurality of timeseries include a timeseries of the raw data samples and the one or more optimized data timeseries generated by the data platform services based on the raw data timeseries. The energy management application generates an ad hoc dashboard including a widget and associates the widget with the data point. The widget displays a graphical visualization of the plurality of timeseries associated with the data point and includes interactive user interface options for switching between the plurality of timeseries associated with the data point.

Building energy management system with ad hoc dashboard

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 building management system (BMS) includes building equipment configured to provide raw data samples of a data point and a data collector configured to collect the raw data samples from the building equipment and generate a raw data timeseries including a plurality of the raw data samples. The BMS includes a timeseries service configured to generate one or more optimized data timeseries from the raw data timeseries and a timeseries database configured to store the raw data timeseries and the one or more optimized data timeseries. The BMS includes a dashboard layout generator configured to identify each timeseries associated with the data point and to generate a framework-agnostic dashboard layout description capable of being rendered by multiple different rendering frameworks to visualize each of the identified timeseries.

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Pewaukee, WI, United States of America

Peter A Craig