Abstract: A system controlling equipment to serve energy loads of a building includes a cost function generator configured to obtain a cost function of decision variables representing an amount of resources consumed or produced by the equipment, an optimizer configured to perform a first optimization of the cost function subject to a first set of constraints defining first values of constraint variables to generate a first result defining first values of decision variables, a constraint modifier configured determine a cost gradient, recommend changes to constraint variables, and modify constraint variables to modified values in response to changes. The optimizer is configured to perform an optimization of the cost function subject to a second set of constraints to generate a second optimization result defining second values of the decision variables. The system includes a controller that operates equipment to consume or produce resources defined by second values of the decision variables.

Abstract: A method for generating and updating a live dashboard of a building management system for a building includes generating a dashboard designer interface and causing the dashboard designer interface to be displayed on a user device of a user, receiving a graphic element from the user, wherein the graphic file supports animation and user interaction, generating a widget by binding the graphic element received from the user to a widget of the live dashboard, binding a data point to the widget based on a user selection via the dashboard designer interface, wherein the data point being a data point of building equipment of the building, receiving a value for the data point from the building equipment, and displaying the widget in the live dashboard, the widget including an indication of the value for the data point.

Abstract: A control system for a central energy facility with distributed energy storage includes a high level coordinator, a low level airside controller, a central plant controller, and a battery controller. The high level coordinator is configured to perform a high level optimization to generate an airside load profile for an airside system, a subplant load profile for a central plant, and a battery power profile for a battery. The low level airside controller is configured to use the airside load profile to operate airside HVAC equipment of the airside subsystem. The central plant controller is configured to use the subplant load profile to operate central plant equipment of the central plant. The battery controller is configured to use the battery power profile to control an amount of electric energy stored in the battery or discharged from the battery at each of a plurality of time steps in an optimization period.

Abstract: A method for controlling an energy production and distribution system includes identifying sources that supply input resources, subplants that produce output resources using the input resources, and sinks that consume the output resources. The method includes obtaining a cost function including a cost of producing the output resources and generating a transit time constraint that requires the input resources be sent from the sources to the subplants at a first departure time that occurs before a first arrival time at which the input resources are predicted to be used by the subplants. The method includes solving an optimization problem to determine an amount of the output resources to produce at each of multiple time steps within a time period. Solving the optimization problem includes performing an optimization of the cost function subject to the transit time constraint.

Abstract: A method for operating equipment according to sequence of operation using geometric models including obtaining a first geometric model for a first set of equipment and a second geometric model for a second set of equipment, the first set of equipment and the second set of equipment defined by the sequence of operation for the equipment, locating, on the first geometric model, a first nearest operating point based on a desired operating point, generating a first modified geometric model by removing one or more operating points that do not satisfy the first nearest operating point, generating a merged geometric model by merging the first modified geometric model with the second geometric model, locating a second nearest operating point based on a modified desired operating point, and operating the equipment in accordance with the first nearest operating point and the second nearest operating point.

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.

Abstract: A method for operating a subplant included in a central plant includes obtaining instruction-based equipment models associated with devices included in the subplant and comprises operating points that define an operation of the devices, generating, for each instruction-based equipment models, a geometric equipment model using the operating points from a particular instruction-based equipment model, the geometric equipment model defining at least one operating domain associated with the particular device, merging geometric equipment models to form a geometric subplant model, the geometric subplant model defining an operation of the subplant comprising devices associated with the geometric equipment models, receiving a desired operating point comprising a load value, determining, relative to the desired operating point, a nearest operating point on the geometric subplant model, setting the nearest operating point on the geometric subplant model as an actual operating point, and operating the subplant at the act

Abstract: A method for controlling equipment includes grouping a plurality of granular assets to form one or more general assets and generating models of the general assets based on the granular assets that form the general assets. Each model corresponds to a general asset and defines a relationship between resources produced by the general asset and resources consumed by the general asset. The method includes performing a first control process using the models of the general assets to determine a first allocation of resources among the general assets. The first allocation defines amounts of the resources to be consumed, produced, or stored by each of the general assets. The method includes operating the equipment to consume, produce, or store the resources in accordance with the first allocation.

Abstract: A controller for operating building equipment of a building. The controller includes one or more processors. The controller includes 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. The operations include comparing one or more model parameters of predictive models describing zones of the building to determine one or more zone groups for the building. The operations include generating one or more zone group models corresponding to the one or more zone groups. The operations include operating the building equipment using the one or more zone group models to affect a variable state or condition of the building.

Abstract: A method for managing failures in multiple nodes of a building management system includes selecting a second building management system node from the building management system nodes to perform a computing job to determine one or more values for the building management system. The method includes sending the computing job to the second building management system node for the second building management system node to determine the one or more values for the building management system, receiving progress messages from the second building management system node, wherein the progress messages indicate the status of the second building management system node for determining the one or more values, and selecting a third building management system node from the plurality of building management system nodes to perform the computing job in response to the progress messages indicating that the second node has failed to determine the one or more values.

Abstract: A method for reducing the memory usage of a memory device of a building management system of a building includes receiving a request for a property of a data model stored in the memory device, wherein the data model includes relationships, wherein each relationship links one of multiple properties to serialized building data stored within the memory device, receiving, by the building management system, a request for a property of the data model, and generating, by the building management system, de-serialized data for the requested property in response to receiving the request by retrieving the serialized data from the memory device based on the relationships of the data model and de-serializing the retrieved serialized data.

Abstract: A fiber optic flow sensor includes a fiber optic cable, a light emitter, an optical power meter, and a processing circuit. The fiber optic cable allows light to enter a first end of the fiber optic cable, reflect off a second end of the fiber optic cable and exit the fiber optic cable through the first end. The fiber optic cable is at least partially exposed to fluid flow at the second end. The light emitter emits light at an input power into the first end of the fiber optic cable. The optical power meter measures an output power of the light exiting the fiber optic cable at the first end. The processing circuit calculates a flow rate of the flow of fluid based on the input power of light entering the fiber optic cable and the output power of light exiting the first end of the fiber optic cable.

Abstract: An optimization controller for a battery includes a high level controller configured to receive a regulation signal from an incentive provider cat a data fusion module, determine statistics of the regulation signal, and use the statistics of the regulation signal to generate a frequency response midpoint. The optimization controller further includes a low level controller configured to use the frequency response midpoint to determine optimal battery power setpoints and use the optimal battery power setpoints to control an amount of electric power stored or discharged from the battery during a frequency response period.

Abstract: Granular assets of a building are identified. Each granular asset represents one or more devices of that operate to produce, consume, or store resources in the building. General assets are defined by grouping the granular assets into groups. A non-granular optimization is performed to determine a non-granular allocation of the resources among the general assets. Non-granular allocation defines an amount of each of the resources consumed, produced, or stored by each of the general assets at each time step in a time period. A granular optimization is performed for each general asset to determine a granular allocation of the resources among the granular assets. The granular allocation defines an amount of each resource consumed, produced, or stored by the granular assets at each time step in the time period. The equipment of the building are operated to consume, produce, or store the amount of each resource defined by granular allocation.

Abstract: A system controlling equipment to serve energy loads of a building includes a cost function generator configured to obtain a cost function of decision variables representing an amount of resources consumed or produced by the equipment, an optimizer configured to perform a first optimization of the cost function subject to a first set of constraints defining first values of constraint variables to generate a first result defining first values of decision variables, a constraint modifier configured determine a cost gradient, recommend changes to constraint variables, and modify constraint variables to modified values in response to changes. The optimizer is configured to perform an optimization of the cost function subject to a second set of constraints to generate a second optimization result defining second values of the decision variables. The system includes a controller that operates equipment to consume or produce resources defined by second values of the decision variables.

Abstract: A method for operating a subplant included in a central plant includes obtaining instruction-based equipment models associated with devices included in the subplant and comprises operating points that define an operation of the devices, generating, for each instruction-based equipment models, a geometric equipment model using the operating points from a particular instruction-based equipment model, the geometric equipment model defining at least one operating domain associated with the particular device, merging geometric equipment models to form a geometric subplant model, the geometric subplant model defining an operation of the subplant comprising devices associated with the geometric equipment models, receiving a desired operating point comprising a load value, determining, relative to the desired operating point, a nearest operating point on the geometric subplant model, setting the nearest operating point on the geometric subplant model as an actual operating point, and operating the subplant at the act

Abstract: A method for operating equipment according to sequence of operation using geometric models including obtaining a first geometric model for a first set of equipment and a second geometric model for a second set of equipment, the first set of equipment and the second set of equipment defined by the sequence of operation for the equipment, locating, on the first geometric model, a first nearest operating point based on a desired operating point, generating a first modified geometric model by removing one or more operating points that do not satisfy the first nearest operating point, generating a merged geometric model by merging the first modified geometric model with the second geometric model, locating a second nearest operating point based on a modified desired operating point, and operating the equipment in accordance with the first nearest operating point and the second nearest operating point.

Abstract: A control system configured to serve one or more energy loads in a building comprises equipment configured to consume, produce, or store one or more resources including electricity, water, natural gas, steam, hot thermal energy, cold thermal energy, or electrical energy. The control system includes an asset allocator configured to receive an input model that describes a physical layout of the equipment and create a net list that defines connections between the equipment using the input model. The asset allocator is configured to discover one or more systems of interconnected equipment and one or more groups of equipment using the net list, formulate an optimization problem using the systems and groups of equipment, and operate the equipment according to the optimization problem.

Abstract: One implementation of the present disclosure is a controller for a variable refrigerant flow system. The controller includes processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations including identifying zones within a structure, generating zone groupings defining zone groups and specifying which of the zones are grouped together to form each of the zone groups, generating metric of success values corresponding to the zone groupings and indicating a control feasibility of a corresponding zone grouping, selecting a zone grouping based on the metric of success values, and using the selected zone grouping to operate equipment of the variable refrigerant flow system to provide heating or cooling to the zones.

Abstract: A building management system for generating a building model for a building and operating building equipment of the building based on the building model. The system includes a processing circuit configured to receive a context, wherein the context includes metadata defining the building model for the building and generate a building model editor interface for viewing and editing the received context, wherein the building model interface includes building elements for the building model, wherein the building elements are based on the received context and represent the building equipment. The processing circuit is configured to receive user edits of the context via the building model interface, wherein the user edits include edits to the building elements, generate an updated context based on the user edits of the context, and deploy the updated context to control environmental conditions of the building with the building equipment based on the updated context.