BUILDING ENERGY STORAGE SYSTEM WITH PEAK LOAD CONTRIBUTION AND STOCHASTIC COST OPTIMIZATION

    公开(公告)号:US20190324487A1

    公开(公告)日:2019-10-24

    申请号:US16457302

    申请日:2019-06-28

    Abstract: A central plant includes storage devices configured to store resources purchased from a utility or generated by the central plant and to discharge the one or more resources. The central plant includes a controller configured to obtain a cost function comprising a peak load contribution (PLC) term representing a cost based on an amount of the one or more resources purchased during coincidental peak (CP) subperiods. The controller is configured to modify the cost function by applying a peak subperiods mask to the PLC term, wherein, for each subperiod, the peak subperiods mask modifies a portion of the PLC term corresponding to the subperiod based on a probability that the subperiod will be one of the CP subperiods. The controller is also configured to perform an optimization of the modified cost function.

    CENTRAL PLANT CONTROL SYSTEM BASED ON LOAD PREDICTION THROUGH MASS STORAGE MODEL

    公开(公告)号:US20210055701A1

    公开(公告)日:2021-02-25

    申请号:US17071633

    申请日:2020-10-15

    Abstract: Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for operating an energy plant. In one aspect, the system generates a regression model of a produced thermal energy load produced by a supply device of the plurality of devices. The system predicts the produced thermal energy load produced by the supply device for a first time period based on the regression model. The system determines a heat capacity of gas or liquid in the loop based on the predicted produced thermal energy load. The system generates a model of mass storage based on the heat capacity. The system predicts an induced thermal energy load during a second time period at a consuming device of the plurality of devices based on the model of the mass storage. The system operates the energy plant according to the predicted induced thermal energy load.

    BUILDING CONTROL SYSTEM WITH HEAT DISTURBANCE ESTIMATION AND PREDICTION

    公开(公告)号:US20200370771A1

    公开(公告)日:2020-11-26

    申请号:US16590783

    申请日:2019-10-02

    Abstract: An environmental control system for a building including heating, ventilation, or air conditioning (HVAC) equipment that operates to affect a zone of the building and a controller including a processing circuit. The processing circuit is configured to estimate a thermal resistance between air of the zone and of an external space using values of a temperature of the zone air, a temperature of the external space air, and a heat transfer rate of the HVAC equipment, each value corresponding to a different time step within a time period. The processing circuit is configured to use the thermal resistance, time step specific values of the temperatures, and time step specific values of the heat transfer rate to estimate corresponding values of a heat disturbance. The processing circuit is configured to operate the HVAC equipment using a model-based control technique based on the heat disturbance values.

    CENTRAL PLANT CONTROL SYSTEM WITH ASSET ALLOCATION OVERRIDE

    公开(公告)号:US20210152388A1

    公开(公告)日:2021-05-20

    申请号:US16684371

    申请日:2019-11-14

    Abstract: A controller for building equipment that operate to provide heating or cooling for a building or campus. The controller includes a processing circuit configured to perform an optimization of an objective function subject to an override constraint to determine amounts of one or more resources to be produced by the building equipment and control the building equipment to produce the amounts of the one or more resources determined by performing the optimization subject to the override constraint. The override constraint overrides an output of the optimization by specifying an override amount of a first resource of the one or more resources to be produced by a first subset of the building equipment.

    MODEL PREDICTIVE MAINTENANCE SYSTEM WITH INCENTIVE INCORPORATION

    公开(公告)号:US20190311332A1

    公开(公告)日:2019-10-10

    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 SMART EDGE DEVICES HAVING EMBEDDED MODEL PREDICTIVE CONTROL

    公开(公告)号:US20210158975A1

    公开(公告)日:2021-05-27

    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.

    BUILDING CONTROL SYSTEM WITH FEATURES FOR OPERATING UNDER INTERMITTENT CONNECTIVITY TO A CLOUD COMPUTATION SYSTEM

    公开(公告)号:US20210141346A1

    公开(公告)日:2021-05-13

    申请号:US16680881

    申请日:2019-11-12

    Abstract: A controller for operating building equipment of a building including processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including obtaining a first setpoint trajectory from a cloud computation system. The first setpoint trajectory includes setpoints for the building equipment or for a space of the building. The setpoints correspond to time steps of an optimization period. The operations include determining whether a connection between the controller and the cloud computation system is active or inactive at a time step of the optimization period and determining an active setpoint for the time step of the optimization period using either the first or second setpoint trajectory based on whether the connection between the controller and the cloud computation system is active or inactive at the time step. The operations include operating the building equipment based on the active setpoint.

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