BUILDING CONTROL SYSTEM WITH ADAPTIVE ONLINE SYSTEM IDENTIFICATION

    公开(公告)号:US20210018198A1

    公开(公告)日:2021-01-21

    申请号:US16738878

    申请日:2020-01-09

    Abstract: A controller for equipment that operates to affect a variable state or condition of a building including one or more processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include generating a new predictive model using training data associated with one or more durations selected from a time period and selected to satisfy a set of criteria. The predictive model models system dynamics of the building during the time period. The operations include storing the new predictive model in a database including predictive models that model the system dynamics of the building and include comparing performance of the new predictive model and the predictive models stored by the database to select a particular predictive model for controlling the equipment. The operations include using the particular predictive model to generate and provide control signals to the equipment.

    MODEL PREDICTIVE MAINTENANCE SYSTEM WITH DEGRADATION IMPACT MODEL

    公开(公告)号:US20200301408A1

    公开(公告)日:2020-09-24

    申请号:US16899220

    申请日:2020-06-11

    Abstract: A model predictive maintenance (MPM) system for building equipment includes one or more processing circuits having 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 including estimating a degradation state of the building equipment, using a degradation impact model to predict an amount of one or more input resources consumed by the building equipment to produce one or more output resources based on the degradation state of the building equipment, generating a maintenance schedule for the building equipment based on the amount of the one or more input resources predicted by the degradation impact model, and initiating a maintenance activity for the building equipment in accordance with the maintenance schedule.

    BUILDING ENERGY COST OPTIMIZATION SYSTEM WITH ASSET SIZING

    公开(公告)号:US20190340709A1

    公开(公告)日:2019-11-07

    申请号:US16518314

    申请日:2019-07-22

    Abstract: A controller is configured to obtain a cost function defining a cost of operating building equipment over a time period. The cost function includes a revenue term defining revenue to be obtained by operating the equipment to participate in an incentive program over the time period. The controller is configured to modify the cost function to account for an initial purchase cost of a new asset to be added to the equipment and an effect of the new asset on the cost of operating the equipment. The initial purchase cost of the new asset and the effect of the new asset on the cost of operating the equipment are functions of asset size variables. The controller is also configured to perform an optimization of the modified cost function to determine values for energy load setpoints, the asset size variables, and participation in the incentive program over the time period.

    BUILDING ENERGY OPTIMIZATION SYSTEM WITH CAPACITY MARKET PROGRAM (CMP) PLANNING

    公开(公告)号:US20190303830A1

    公开(公告)日:2019-10-03

    申请号:US16294475

    申请日:2019-03-06

    Abstract: A method for generating an optimal nominated capacity value for participation in a capacity market program (CMP) includes generating, by a processing circuit, an objective function comprising a nominated capacity term, wherein the nominated capacity term indicates a nominated capacity value, wherein the nominated capacity value is a curtailment value that a facility is on standby to reduce its load by in response to receiving a dispatch from a utility. The method includes optimizing, by the processing circuit, the objective function to determine the optimal nominated capacity value for a program operating period and transmitting, by the processing circuit, the optimal nominated capacity value to one or more systems associated with the CMP to participate in the CMP.

    SYSTEMS AND METHODS FOR MAINTAINING OCCUPANT COMFORT FOR VARIOUS ENVIRONMENTAL CONDITIONS

    公开(公告)号:US20210173366A1

    公开(公告)日:2021-06-10

    申请号:US16703514

    申请日:2019-12-04

    Abstract: An environmental control system of a building including a first building device operable to affect environmental conditions of a zone of the building by providing a first input to the zone. The system includes a second building device operable to independently affect a subset of the environmental conditions by providing a second input to the zone and further includes a controller including a processing circuit. The processing circuit is configured to perform an optimization to generate control decisions for the building devices. The optimization is performed subject to constraints for the environmental conditions and uses a predictive model that predicts an effect of the control decisions on the environmental conditions. The processing circuit is configured to operate the building devices in accordance with the control decisions.

    MODEL PREDICTIVE MAINTENANCE SYSTEM WITH INTEGRATED MEASUREMENT AND VERIFICATION FUNCTIONALITY

    公开(公告)号:US20200090289A1

    公开(公告)日:2020-03-19

    申请号:US16687571

    申请日:2019-11-18

    Abstract: A model predictive maintenance system for building equipment including one or more processing circuits including processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include obtaining an objective function that defines a cost of operating the building equipment and performing maintenance on the building equipment as a function of operating decisions and maintenance decisions for the building equipment for time steps within a time period. The operations include performing an optimization of the objective function to generate a maintenance and replacement strategy for the building equipment over a duration of an optimization period. The operations include estimating a savings loss predicted to result from a deviation from the maintenance and replacement strategy. The operations include adjusting an amount of savings expected to be achieved by energy conservation measures for the building equipment based on the savings loss.

    BUILDING ENERGY OPTIMIZATION SYSTEM WITH CAPACITY MARKET PROGRAM (CMP) PARTICIPATION

    公开(公告)号:US20190302716A1

    公开(公告)日:2019-10-03

    申请号:US16294490

    申请日:2019-03-06

    Abstract: An energy optimization system for participating in a capacity market program (CMP) includes one or more memory devices storing instructions, that, when executed on one or more processors, cause the one or more processors to receive a nominated capacity value, generate an objective function and one or more CMP constraints, wherein the one or more CMP constraints cause an optimization of the objective function with the CMP constraints to generate a resource allocation that reduces the load of the facility by the nominated capacity value in response to receiving the dispatch from the utility, receive the dispatch from the utility, optimize the objective function based on the nominated capacity value, the dispatch, and the one or more CMP constraints to determine the resource allocation, and control one or more pieces of building equipment based on the determined resource allocation.

    BUILDING ENERGY SYSTEM WITH STOCHASTIC MODEL PREDICTIVE CONTROL AND DEMAND CHARGE INCORPORATION

    公开(公告)号:US20190079473A1

    公开(公告)日:2019-03-14

    申请号:US16115290

    申请日:2018-08-28

    Abstract: A building energy system includes equipment configured to consume, store, or discharge one or more energy resources purchased from a utility supplier. At least one of the energy resources is subject to a demand charge. The system further includes a controller configured to determine an optimal allocation of the energy resources across the equipment over a demand charge period. The controller includes a stochastic optimizer configured to obtain representative loads and rates for the building or campus for each of a plurality of scenarios, generate a first objective function comprising a cost of purchasing the energy resources over a portion of the demand charge period, and perform a first optimization to determine a peak demand target for the optimal allocation of the energy resources. The peak demand target minimizes a risk attribute of the first objective function over the plurality of the scenarios. The controller is configured to control the equipment to achieve the optimal allocation of energy resources.

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