CENTRAL PLANT CONTROL SYSTEM WITH ASSET ALLOCATION OVERRIDE

    公开(公告)号:US20230291202A1

    公开(公告)日:2023-09-14

    申请号:US18198091

    申请日:2023-05-16

    Abstract: A controller for building equipment that operate to produce or consume resources for a building or campus. The controller performs an optimization of an objective function subject to an override constraint to determine values for a plurality of decision variables indicating amounts of resources to be produced or consumed by the building equipment. The override constraint defines one or more of the values for a subset of the plurality of decision variables by specifying an override amount of a first resource of the resources to be produced or consumed by a first subset of the building equipment and the optimization determines a remainder of the values for a remainder of the plurality of decision variables. The controller controls the building equipment to produce or consume the amounts of the resources determined by performing the optimization subject to the override constraint.

    VARIABLE REFRIGERANT FLOW SYSTEM WITH ZONE GROUPING

    公开(公告)号:US20230312174A1

    公开(公告)日:2023-10-05

    申请号:US18206992

    申请日:2023-06-07

    CPC classification number: B65D23/0871

    Abstract: A controller for a building control system includes processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations including identifying zones within a building, analyzing data associated with the zones, and generating zone groupings based on the data associated with the zones. Each of the zone groupings define zone groups and specify which of the zones are grouped together to form each of the zone groups. The operations also include identifying a particular zone grouping from zone groupings based on the data associated with zones and using the particular zone grouping to generate control signals to operate equipment of the building control system to provide heating or cooling to the zones.

    BUILDING ENERGY SYSTEM WITH LOAD-FOLLOWING-BLOCK RESOURCE ALLOCATION

    公开(公告)号:US20230281534A1

    公开(公告)日:2023-09-07

    申请号:US18196188

    申请日:2023-05-11

    CPC classification number: G06Q10/06315 G06Q50/06 G06Q10/04 G06Q10/06313

    Abstract: A controller for equipment that operate to store, discharge, generate, or consume one or more resources is configured to provide an objective function indicating a total value of obtaining a resource from a utility provider over a plurality of time steps subject to a load-following-block rate structure. The objective function includes a first term representing a load-following-block of the resource as being sourced from the utility provider at a fixed rate and a second term representing a remainder of the resource as being sourced from the utility provider at a variable rate. The controller is configured to use the objective function to generate values for decision variables and control the equipment to store, discharge, generate, or consume amounts of the resources indicated by the values of the decision variables at the plurality of time steps.

    BUILDING ENERGY SYSTEM WITH LOAD-FOLLOWING-BLOCK RESOURCE ALLOCATION

    公开(公告)号:US20210365861A1

    公开(公告)日:2021-11-25

    申请号:US17395672

    申请日:2021-08-06

    Abstract: A building energy system includes equipment operable to consume, store, or generate one or more resources, a utility connection configured to obtain, from a utility provider, a first resource subject to a load-following-block rate structure and provide the first resource to the equipment, and a controller. The controller provides an objective function indicating a total value of purchasing the first resource from the utility provider over a plurality of time steps. The objective function includes a first term representing a load-following-block of the first resource from the utility provider as being sourced from a first supplier at a fixed rate and a second term representing a remainder of the first resource from the utility provider as being sourced from a second supplier at a variable rate. The controller controls the equipment based on a result of an optimization of the objective function.

    CENTRAL PLANT CONTROL SYSTEM WITH ASSET ALLOCATION OVERRIDE

    公开(公告)号:US20220191057A1

    公开(公告)日:2022-06-16

    申请号:US17688192

    申请日:2022-03-07

    Abstract: A controller for building equipment that operate to produce or consume resources for a building or campus. The controller performs an optimization of an objective function subject to an override constraint to determine values for a plurality of decision variables indicating amounts of resources to be produced or consumed by the building equipment. The override constraint defines one or more of the values for a subset of the plurality of decision variables by specifying an override amount of a first resource of the resources to be produced or consumed by a first subset of the building equipment and the optimization determines a remainder of the values for a remainder of the plurality of decision variables. The controller controls the building equipment to produce or consume the amounts of the resources determined by performing the optimization subject to the override constraint.

    BUILDING HVAC SYTEM WITH FAULT-ADAPTIVE MODEL PREDICTIVE CONTROL

    公开(公告)号:US20220034543A1

    公开(公告)日:2022-02-03

    申请号:US17388776

    申请日:2021-07-29

    Abstract: A method for automatically adapting a predictive model used to control a heating, ventilation, or air conditioning (HVAC) system in a building to compensate for a detected fault in the HVAC system is shown. The method includes obtaining an indication of the detected fault in the HVAC system or a zone in the building. The method further includes determining a predicted impact of the detected fault on an operational performance of the HVAC system. The method further includes adjusting one or more parameters of the predictive model based on the predicted impact of the detected fault to generate a fault-adapted predictive model. The method further includes operating the HVAC system to control an environmental condition of the building using the fault-adapted predictive model.

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