Johnson Controls Tyco IP Holdings Llp

Tyco Fire + Security Gmbh

Johnson Controls Technology Company

Jared W Fread

Graeme Willmott

Ryan C Beaty

Shawn A Schlagenhaft

Matthew J Asmus

Michael J Wenzel

Matthew J Ellis

A controller is provided for building equipment including a plurality of devices that operate in parallel to affect an environmental condition of a building. The controller includes one or more processing circuits including 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. The operations include lowering an upper bound or raising a lower bound of one or more constraints based on a minimum off schedule or a minimum on schedule for the building equipment, performing an optimization of an objective function subject to the one or more constraints to generate control decisions for the building equipment, and operating the building equipment in accordance with the control decisions to affect the environmental condition of the building.

Control systems and methods for building equipment with optimization modification

Disclosed herein are a system, method, and non-transitory computer readable medium for operating an energy plant. In one aspect, a system determines a ratio of flow rates between devices of the energy plant connected in parallel with each other in a branch. The system generates a candidate set of operating parameters of the devices according to the ratio of flow rates. The system predicts thermodynamic states of the devices operating according to the candidate set of operating parameters. The system determines whether the predicted thermodynamic states satisfy constraints of the devices. The system determines whether the predicted thermodynamic states satisfy a target thermal energy load of the branch based on the ratio of the flow rates. The system operates the energy plant according to the candidate set of operating parameters, in response to determining that the predicted thermodynamic states satisfy the constraints and the target thermal energy load.

Central plant control system with setpoints modification based on physical constraints

A central plant includes a plurality of subplants including a chiller configured to output supply water at a supply water temperature, a sensor configured obtain a measurement of the supply water temperature, and a control system. The control system is configured to calculate an additional load factor based on the measurement of the supply water temperature and a supply water temperature setpoint, obtain an actual load for the chiller, calculate an effective load based on the additional load factor and the actual load, generate load allocations for the plurality of subplants based on the effective load, and control the plurality of subplants to operate in accordance with the load allocations.

Central plant with secondary strong prevention

A controller for a central plant having subplants operating to produce resources consumed by a building. The controller includes a processing circuit including a processor and memory storing instructions executed by the processor. The memory includes an offline rank generator that receives historical subplant allocation data and generates subplant ranks based on the historical subplant allocation data, each of the subplant ranks is associated with one of the subplants and defines a priority of each subplant with respect to production of a resource relative to other subplants that produce the resource. The memory also includes a high level optimizer that uses the subplant ranks associated with each of the subplants to determine resource allocation of the subplants according to the subplant ranks. The processing circuit is operates the subplants according to the resource allocation.

Central plant control system with subplant rank generator

A control system for a central plant having devices serving energy loads of a building. The control system includes a central plant optimizer wizard generator that receives user input and generates a central plant model for the control system. The central plant optimizer wizard generator includes an equipment model generator that receives user input and generates equipment models for the devices in the central plant, a device layer generator that generates device layers, an asset layer generator that generates asset layers, and a scaled load profile generator that generates a scaled building load profile of the building using the asset layers and the user data. The central plant optimizer wizard generator generates the central plant model using the asset layers and the scaled building load profile. A demand response optimizer uses the central plant model to determine control decisions for the devices included in the central plant.

Building control system with central plant model generation

A control system for a central plant having subplants including devices operating to serve energy loads of a building. The system includes a high level optimization module that performs high level optimization of thermal loads subject to constraints to generate subplant load allocations. The control system includes a low level optimization module that performs low level optimization of the subplant load allocations to determine operating states for the devices. The control system includes a constraint modifier that modifies the constraints for the high level optimization module based on equipment schedules. The control system also includes a binary optimization modifier including a pruner module that receives the minimum off schedule to determine adjusted branches and a seeder module that receives the minimum on schedule to determine a starting node for use in binary optimization performed by the low optimization module.

Central plant optimization with optimization modification

Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for operating an energy plant having a plurality of subplants that operate to produce one or more resources consumed by a building based on ranks. In one aspect, the system obtains rank identifiers indicating ranks of the plurality of subplants. In one aspect, the ranks indicate a priority of each subplant with respect to production of a resource relative to other subplants that produce the resource. In one aspect, the system determines resource allocation of the plurality of subplants according to the ranks of the plurality of subplants. The system may operate the plurality of subplants according to the resource allocation.

Central plant control system with rank-based asset allocator

Disclosed herein are related to a method, a system, and a non-transitory computer readable medium storing instructions for operating a group of central plant equipment to serve thermal energy loads of a building or building system. In one approach, a base capacity of one or more devices of the group of central plant equipment is identified. A change in requested load allocated to the one or more devices crossing the base capacity at a crossover time may be detected. In one approach, an adjusted capacity of the one or more devices is set such that the adjusted capacity is offset from the base capacity before the crossover time and decays toward the base capacity during a decay period after the crossover time. The requested load allocated may be compared with the adjusted capacity after the crossover time. The group of central plant equipment may be operated according to the comparison.

Central plant control system with decaying capacity adjustment

Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for operating an energy plant. In one aspect, a system determines schematic relationships of a plurality of heat, ventilation, and air conditioning (HVAC) devices of the energy plant based on connections of the plurality of HVAC devices. Each HVAC device is configured to operate according to a corresponding operating parameter. The system determines, from a plurality of HVAC devices, a reduced subset of the HVAC devices based on the schematic relationships. The system predicts thermodynamic states of the reduced subset. The system determines a set of operating parameters of the plurality of HVAC devices based on the thermodynamic states. The system operates the plurality of HVAC devices according to the set of operating parameters.

Central plant control system with computation reduction based on stranded node analysis

Systems and methods for distributing load of an energy plant are disclosed herein. A target load of at least a first device and a second device of the energy plant is obtained. A first power consumption of the first device and the second device predicted to result from operating the first device and the second device according to a first combination of set points to satisfy the target load is predicted. A second power consumption of the first device and the second device predicted to result from operating the first device and the second device according to a second combination of set points to satisfy the target load is predicted. The first power consumption and the second power consumption are compared, and a combination of set points rendering lower power consumption is selected to operate the energy plant.

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Milwaukee, WI, United States of America

Jared W Fread