High level central plant optimization

    公开(公告)号:US12216452B2

    公开(公告)日:2025-02-04

    申请号:US18468118

    申请日:2023-09-15

    Abstract: 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.

    Model predictive maintenance system with budgetary constraints

    公开(公告)号:US11900287B2

    公开(公告)日:2024-02-13

    申请号:US16457314

    申请日:2019-06-28

    CPC classification number: G06Q10/06315 G06N5/02 G06Q10/20

    Abstract: A model predictive maintenance (MPM) system for building equipment. The MPM system includes an equipment controller configured to operate the building equipment to affect a variable state or condition in a building. The MPM system includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period. The MPM system includes a budget manager configured to generate one or more budget constraints. The MPM system includes an objective function optimizer configured to optimize an objective function subject to the one or more budget constraints to determine a maintenance and replacement schedule for the building equipment. The objective function includes maintenance and replacement costs of the building equipment and the predicted cost of operating the building equipment.

    Building control system with smart edge devices having embedded model predictive control

    公开(公告)号:US11445024B2

    公开(公告)日:2022-09-13

    申请号:US16695519

    申请日:2019-11-26

    Abstract: A smart edge controller for building equipment that operates to affect a variable state or condition within a building. The controller includes processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including obtaining sensor data indicating environmental conditions of the building and include determining an amount of available processing resources at the smart edge controller or at the building equipment. The operations include automatically scaling a level of complexity of an optimization of a cost function based on the available processing resources and include performing the optimization of the cost function at the automatically scaled level of complexity to generate a first setpoint trajectory. The first setpoint trajectory includes operating setpoints for the building equipment at time steps within an optimization period. The operations include operating the building equipment based on the first setpoint trajectory.

    Model predictive maintenance system with incentive incorporation

    公开(公告)号:US11120411B2

    公开(公告)日:2021-09-14

    申请号:US16449198

    申请日:2019-06-21

    Abstract: A model predictive maintenance system for building equipment including an equipment controller to operate the building equipment to affect a variable state or condition in a building. The system includes an operational cost predictor to predict a cost of operating the building equipment over a duration of an optimization period, a maintenance cost predictor to predict a cost of performing maintenance on the building equipment, and a cost incentive manager to determine whether any cost incentives are available and, in response to a determination that cost incentives are available, identify the cost incentives. The system includes an objective function optimizer to optimize an objective function to predict a total cost associated with the building equipment over the duration of the optimization period. The objective function includes the predicted cost of operating the building equipment, the predicted cost of performing maintenance on the building equipment, and, if available, the cost incentives.

    BUILDING CONTROL SYSTEM WITH CONSTRAINT GENERATION USING ARTIFICIAL INTELLIGENCE MODEL

    公开(公告)号:US20210055016A1

    公开(公告)日:2021-02-25

    申请号:US17091006

    申请日:2020-11-06

    Inventor: Robert D. Turney

    Abstract: A building control system includes one or more processors and one or more non-transitory computer-readable media storing instructions. When executed by the one or more processors, the instructions cause the one or more processors to perform operations including using an artificial intelligence model to adjust a threshold value of a constraint based on user input provided via one or more user devices during a first time period. The user input indicates user satisfaction with an environmental condition of a building space during the first time period. The operations include using the threshold value of the constraint to operate equipment that affect the environmental condition of the building space during a second time period subsequent to the first time period.

    HVAC controller with integrated airside and waterside cost optimization

    公开(公告)号:US10761547B2

    公开(公告)日:2020-09-01

    申请号:US14694633

    申请日:2015-04-23

    Abstract: A building HVAC system includes a waterside system and an airside system. The waterside system consumes one or more resources from utility providers to generate a heated and/or chilled fluid. The airside system uses the heated and/or chilled fluid to heat and/or cool a supply airflow provided to the building. A HVAC controller performs an integrated airside/waterside optimization process to simultaneously determine control outputs for both the waterside system and the airside system. The optimization process includes optimizing a predictive cost model that predicts the cost of the resources consumed by the HVAC system, subject to a set of optimization constraints including temperature constraints for the building. The HVAC controller uses the determined control outputs to control the HVAC equipment of the waterside system and the airside system.

    VARIABLE REFRIGERANT FLOW SYSTEM WITH CAPACITY LIMITS

    公开(公告)号:US20200072543A1

    公开(公告)日:2020-03-05

    申请号:US16122399

    申请日:2018-09-05

    Abstract: A variable refrigerant flow system includes one or more outdoor units and a first indoor unit of a plurality of indoor units configured to receive refrigerant from the one or more outdoor units. The first indoor unit is configured to serve a first building zone. The variable refrigerant flow system also includes a user input device configured to receive a user command requesting heating or cooling of the first building zone by the first indoor unit. The variable refrigerant flow system also includes a controller configured to receive the command from the user input device, receive an indication of a current price of energy, in response to receiving the command generate a constraint on a capacity of the one or more outdoor units based on the current price of energy, and control the one or more outdoor units to operate in accordance with the constraint.

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