Trane International Inc.

Brian A Kirkman

Lee R Cline

Susanna Staubly Hanson

Udhaya Kumar Dayalan

James Kenneth McKeever

Anthony Wayne Bruno

Brian Meyers

Robert Jahn

Mayra R Reyes Elizondo

Kathylynn Hanggi Sedro

A method and apparatus for controlling a load facility in response to a demand event. The method includes defining a plurality of resources of the load facility based on user input, establishing a response strategy for the demand event, and organizing the resources into the response strategy that specifies the resources and times during the demand event at which the resources are called to execute the one or more measures to reduce power consumption of one or more of the electrical devices, different ones of the resources called at different times during the demand event, and at least one of the resources called to execute the one or more measures, and further including executing the response strategy to reduce demand on the power grid from the load facility during the demand event.

Control of a load facility in response to a demand event

Multi-compressor chiller systems can be efficiently operated by determining real time efficiency curves for the compressors currently in operation, along with any compressors that may be added to address demand, and using these efficiency curves to determine changes to compressor operation to improve efficiency in meeting chiller demand. The efficiency curves can be parabolic curves. The data used to determine the efficiency curves can be obtained through operation at a variety of lift points and a variety of load points within those lift points. The efficiency curves can be solved to find intersections where there may be staging points for adding or subtracting compressors from operation to efficiently meet demand. This operation can be automated through a controller of a control system for the multi-compressor chiller system.

Systems and methods for modeling of chiller efficiency and determination of efficiency-based staging

Method and systems for dynamically generating or editing a graphical dashboard via a graphical user interface (GUI) setup are provided. The method includes determining a type of a plant through the GUI setup, determining a configuration of the plant through the GUI setup, determining at least one component of the plant through the GUI setup, and configuring parameters of the at least one component and/or the plant through the GUI setup. The method also includes generating the dashboard including a plant control logic of the plant based on the type, the configuration, the at least one component, and the parameters of the at least one component and/or the plant. The method further includes controlling the plant based on the plant control logic.

Dynamic creation of plant control graphical user interface and plant control logic

Chiller control systems and methods for chiller control use iterative modeling of cooling towers, heat exchangers, and pumps to determine the feasibility of integrated free cooling and the ability to take advantage of free cooling. The control systems and control methods can further include selecting the parameters for operating in the free cooling or integrated free cooling mode to improve efficiency and/or reduce energy consumption when operating in these modes. The models can have inputs and outputs that feed into one another, and converge at a solution over multiple iterations. The feasibility of integrated free cooling can be based on providing cooling to a cooling load process fluid at a heat exchanger. The availability of free cooling can be based on the cooling provided at the heat exchanger achieving a target temperature for the cooling load process fluid.

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Shoreview, MN, United States of America

Brian A Kirkman