Abstract: A method includes providing a net consumption trajectory comprising net consumption targets for one or more subperiods of a time period. Each net consumption target indicates a target difference from a beginning of a time period to an end of the subperiod between total consumption and total production or offset. The method also includes generating, for a subperiod of the plurality of subperiods, a set of curtailment actions predicted to achieve the net consumption target for the subperiod and implementing the set of curtailment actions.

Abstract: A building system of a building, the building system including one or more memory devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to update a building condition of an HVAC system of a space in a building at a time t1, wherein the building condition is updated from a default building condition. The instructions when executed by the one or more processors, cause the one or more processors to update the building condition of the space at a time t2 and receive an occupant response of an occupant from the space. The instructions when executed by the one or more processors, cause the one or more processors to update an artificial intelligence (AI) model based on the occupant response and generate, using the AI model, one or more actions for the HVAC system of a plurality of spaces.

Abstract: A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

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.

Abstract: A method includes providing a control algorithm that may include a constraint constraining production of the equipment below maximum values for a plurality of time steps, and dynamically adjusting the constraint by updating the maximum values as a function of predicted values of a dynamic variable for the plurality of time step. The dynamic variable affects an actual maximum production of the equipment. The method includes determining control decisions for the plurality of time steps by executing the control algorithm and controlling the equipment in accordance with the control decisions.

Abstract: A controller for performing automated system identification. 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 generating a predictive model to predict system dynamics of a space of a building based on environmental condition inputs and including performing an optimization of a cost function of operating building equipment over a time duration to determine a setpoint for the building equipment. The optimization is performed based on the predictive model. The operations include operating the building equipment based on the setpoint to affect a variable state or condition of the space and include monitoring prediction error metrics over time. The operations include, in response to detecting one of the prediction error metrics exceeds a threshold value, updating the predictive model.

Abstract: A controller for one or more pumps in a central plant is configured to obtain first values of flow rate of a fluid provided by the one or more pumps to a building or campus and corresponding first values of a pressure differential across the building or campus during a first time period, generate a system curve for the building or campus that defines a relationship between the flow rate and the pressure differential using the first values of flow rate and pressure differential during the first time period, predict a second value of the pressure differential across the building or campus during a second time period using the system curve and a second value of the flow rate during the second time period, and operate the one or more pumps to achieve the second value of the pressure differential across the building or campus during the second time period.

Abstract: An HVAC controller includes one or more processors and one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising determining a filtration efficiency of an air filter located within an air handling unit and positioned to filter a pollutant from an airstream provided to a building zone by the air handling unit, determining an internal generation rate of the pollutant within the building zone, and initiating an automated action based on the filtration efficiency of the air filter within the air handling unit and the internal generation rate of the pollutant within the building zone.

Abstract: A controller for HVAC equipment uses a predictive model for the HVAC equipment to calculate a plurality of values of a model-predicted heating or cooling load of the HVAC equipment at a plurality of time steps within a time period, obtains a plurality of values of an actual heating or cooling load of the HVAC equipment at the plurality of time steps within the time period, generates a calibration model that relates the model-predicted heating or cooling load to the actual heating or cooling load using the plurality of values of the model-predicted heating or cooling load and the plurality of values of the actual heating or cooling load, uses the calibration model to calculate calibrated values of the model-predicted heating or cooling load of the HVAC equipment, and operates the HVAC equipment using the calibrated values of the model-predicted heating or cooling load.

Abstract: Systems and methods for reducing health risks with respect to an infectious disease in buildings. Health data for an infectious diseases is used to determine a health risk level for building spaces and individuals in the building. An air handling action or a disinfection action is performed based on the health risk level.

Abstract: A system includes a first subsystem configured to produce a resource by consuming electricity, a second subsystem configured to produce the resource by consuming a fuel, and a controller. The controller is configured to determine an allocation of a predicted demand for the resource over a future time period between the first subsystem and the second subsystem based on a first carbon emissions rate associated with off-site production of the electricity and a second carbon emissions rate associated with on-site consumption of the fuel. The controller is also configured to control the first subsystem and the second subsystem to produce the resource in accordance with the allocation during the future time period.

Abstract: A building system that operates to receive a plurality of data samples from building equipment of the building and identity whether one or more data samples of the plurality of data samples are anomalous indicating that one or more pieces of the building equipment are possibly experiencing a fault. The building system operates to generate one or more data health scores for the building equipment based on whether the one or more data samples are anomalous, the one or more data health scores indicating quality levels of the plurality of data samples and generate user interface data configured to cause a user device to display a user interface providing indications of the one or more pieces of building equipment that are possibly experiencing the fault and the one or more data health scores.

Abstract: A model predictive maintenance (MPM) system for building equipment includes one or more processing circuits including one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include obtaining one or more performance indicators for the building equipment and determining whether a trigger condition has been satisfied based on the one or more performance indicators. The operations include triggering a model predictive maintenance process to generate a maintenance schedule for the building equipment in response to determining that the trigger condition has been satisfied. The operations include initiating a maintenance activity for the building equipment in accordance with the maintenance schedule.

Abstract: A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

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.

Abstract: A method includes finding, in equipment performance data points defined by values of an independent variable and values of a dependent variable, a first point for which a convexity metric of the dependent variable with respect to the independent variable satisfies a convexity criterion, creating an equipment curve by providing a first convex region on a first side of the first point and a second convex region on a second side of the first point, and controlling the building equipment based on the equipment curve.

Abstract: A method includes performing a plurality of assessments of different characteristics of data for a segment of the training period, including the data for the segment in a set of training data or excluding the data from the set of training data based on results of the plurality of assessments for the segment, repeating the plurality of assessments for additional data of a plurality of additional segments of the training period, including the additional data in the set of training data or excluding the additional data from the set of training data based on results of the plurality of assessments for the plurality of additional segments, training a system model for a system using the set of training data, controlling the system using the system model.

Abstract: An energy storage system for a building includes a battery asset configured to store electricity and discharge the stored electricity for use in satisfying a building electric load. The system includes a planning tool configured to identify one or more selected functionalities of the energy storage system and generate a cost function defining a cost of operating the energy storage system over an optimization period. The cost function includes a term for each of the selected functionalities. The planning tool is configured to generate optimization constraints based on the selected functionalities, attributes of the battery asset, and the electric energy load to be satisfied. The planning tool is configured to optimize the cost function to determine optimal power setpoints for the battery asset at each of a plurality of time steps of the optimization period.

Abstract: Methods, systems, and machine-readable storage media for building standard compliance. One system includes a controller including one or more processors configured to receive an activation signal corresponding to an infection control mode (ICM). The one or more processors are further configured to initiate the ICM including activating one or more interventions, wherein the one or more interventions include operating HVAC equipment of the building to meet ICM requirements maintaining an environment corresponding to one or more infection control standards. The one or more processors are further configured to determine an infection risk score based on a performance of the HVAC equipment of the building based on the one or more infection control standards, wherein the infection risk score corresponds to an analysis of an environmental condition of the building and a target environmental condition based on the one or more infection control standards.

Abstract: A predictive controller for building equipment associated with a building includes one or more processing circuits configured to control electric energy used by the building equipment. The building equipment includes an electric energy using component. The one or more processing circuits are configured to utilize a predictive cost function to determine a first amount of the electric energy supplied from an energy grid source and a second amount of the electric energy supplied from a second energy source to the electric energy using component.