Tyco Fire + Security Gmbh

Johnson Controls Tyco IP Holdings Llp

Con Edison Battery Storage, LLC

Ryan A Baumgartner

Michael J Wenzel

Matthew J Asmus

Homero L Noboa

Ryan C Beaty

Shawn A Schlagenhaft

Kirk H Drees

Mohammad N ElBsat

Robert D Turney

Matthew J Ellis

Andrew J Przybylski

Graeme Willmott

John H Burroughs

Steven R Vitullo

Anas W I Alanqar

Zachary J Sienkiewicz

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 method of selecting building equipment for serving a building including determining one or more hard constraints and one or more soft constraints for the building equipment, determining a plurality of possible combinations of building equipment to serve the building, determining a first set of possible combinations that meet all of the hard constraints and all of the soft constraints, determining a second set of possible combinations that meet all of the hard constraints and do not meet all of the soft constraints, selecting a combination of building equipment to serve the building from the first set of possible combinations if the first set contains a possible combination, or selecting a combination of building equipment to serve the building from the second set of possible combinations if the first set contains no possible combinations, and serving the building using the selected combination of building equipment.

Building equipment selection using soft constraints

A method includes providing a control algorithm that may include a constraint constraining production of the equipment below maximum values for a plurality of time steps, and dynamically adjusting the constraint by updating the maximum values as a function of predicted values of a dynamic variable for the plurality of time step. The dynamic variable affects an actual maximum production of the equipment. The method includes determining control decisions for the plurality of time steps by executing the control algorithm and controlling the equipment in accordance with the control decisions.

Control system for building equipment with dynamic capacity constraints

A system for controlling building equipment devices includes a processing circuit comprising a processor and memory storing instructions executed by the processor. The system is configured to generate a first combination profile indicating a number of active devices within each of one or more device groups according to a first combination of the building equipment devices, and generate a second combination profile indicating a number of active devices within each of the one or more device groups according to a second combination of the building equipment devices. The system is also configured to compare the first combination profile against the second combination profile to determine whether the first combination is redundant with the second combination, generate control decisions for the building equipment devices based on whether the first combination is redundant with the second combination, and operate the building equipment devices in accordance with the control decisions.

Control system for building equipment with optimization search reduction based on equipment models and parameters

A system for controlling building equipment determines a degradation factor for a first asset of the building equipment by comparing a design curve for the first asset and operational data for the first asset. The design curve includes a plurality of data points that define an operation of the first asset. The system generates an operational curve for the first asset by derating the design curve based on the degradation factor and operates the building equipment based on the operational curve.

Control system for building equipment with equipment model adaptation

A system for controlling a subplant comprising one or more assets includes one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations including generating a design curve for a first asset included in the subplant based on an asset model, the design curve comprising a plurality of data points that define an operation of the first asset, obtaining operational data for the first asset, determining a degradation factor for the first asset by comparing the design curve and the operational data, generating an operational curve for the first asset by derating the design curve based on the degradation factor, and operating the subplant based on the operational curve.

Central plant optimization system with equipment model adaptation

An electrical energy storage system includes a battery configured to store electrical energy and discharge the stored electrical energy to an external system, a switch electrically connected to the battery and operable to connect the battery to the external system and disconnect the battery from the external system, a sensor configured to measure an open circuit voltage of the battery while the battery is disconnected from the external system, and a controller. The controller is configured to predict usage of the battery at a plurality of future times, schedule a time to disconnect the battery from the external system based on the predicted usage of the battery at the plurality of future times, operate the switch to disconnect the battery at the scheduled time, and obtain a measurement of the open circuit voltage of the battery while the battery is disconnected.

Electrical energy storage system with battery state-of-charge estimation

A control system for a central energy facility with distributed energy storage includes a high level coordinator, a low level airside controller, a central plant controller, and a battery controller. The high level coordinator is configured to perform a high level optimization to generate an airside load profile for an airside system, a subplant load profile for a central plant, and a battery power profile for a battery. The low level airside controller is configured to use the airside load profile to operate airside HVAC equipment of the airside subsystem. The central plant controller is configured to use the subplant load profile to operate central plant equipment of the central plant. The battery controller is configured to use the battery power profile to control an amount of electric energy stored in the battery or discharged from the battery at each of a plurality of time steps in an optimization period.

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Milwaukee, WI, United States of America

Ryan A Baumgartner