Abstract: A thermostat for a building space can include a processing circuit. The processing circuit can cause building equipment to heat or cool the building space via one or more heating outputs or one or more cooling outputs. The processing circuit can record the length of time that the processing circuit causes the building equipment to heat or cool the building space. The processing circuit can simulate a thermal plant model to determine a simulated runtime, wherein the thermal plant model is a thermal plant model of the building space and the building equipment. The processing circuit can determine a number of hours saved based on the simulated runtime and the recorded length of time.

Abstract: A heating, ventilation, and/or air conditioning (HVAC) system includes an enclosure that is divided by a partition extending between a first panel and a second panel of the enclosure such that the partition defines an outdoor air flow path and a return air flow path through the enclosure. The partition includes an opening extending between the outdoor airflow path and the return airflow path. The HVAC system also includes an energy recovery wheel that translatably extends through the opening and is positioned within the outdoor air flow path and the return air flow path. The energy recovery wheel is disposed within the enclosure at an oblique angle relative to the outdoor air flow path and the return air flow path.

Abstract: A building management system including building equipment operable to affect a variable state or condition of a building. The building management system includes a controller including a processing circuit. The processing circuit is configured to obtain a vibration data set related to vibrations of the building equipment. The processing circuit is configured to analyze the vibration data set by one or more machine learning models to generate a set of probabilities. The set of probabilities is related to a probability that the vibration data set is abnormal. The processing circuit is configured to identify the vibration data set as normal or abnormal based on the set of probabilities. The processing circuit is configured to initiate a corrective action responsive to identifying the vibration data set as abnormal.

Abstract: A building management system including building equipment operable to affect a variable state or condition of a building. The building management system includes a controller including a processing circuit. The processing circuit is configured to obtain an energy prediction model (EPM) for predicting energy requirements over time. The processing circuit is configured to monitor one or more triggering events to determine if the EPM should be retrained. The processing circuit is configured to, in response to detecting that a triggering event has occurred, identify updated values of one or more hyper-parameters of the EPM. The processing circuit is configured to operate the building equipment based on the EPM.

Abstract: A computerized method of assigning a building automation system point type to a plurality of unclassified data points is provided. The method includes receiving unclassified data points and attributes for each data point. The method includes receiving classifications for a first subset of the unclassified data points. Each classification associates a data point with a building automation system point type. The method includes generating a term set containing substrings that appear in the attributes. The method includes generating a first matrix describing a frequency that the substrings appear in the attributes. The method includes calculating an indicator of a probability that the presence of the selected substring results in the data point belonging to the selected point type. The method includes assigning a point type to a second subset by finding the substring and potential point type pair having the greatest indication of probability.

Abstract: A building management system includes building equipment configured to operate in accordance with an input to alter a variable state or condition of a building as a process function of the input while incurring a cost of operating the equipment as a cost function of the input. The building management system also includes a controller configured to calculate a value of a self-optimizing control variable as a function of a measured state of the building equipment and drive the value of the self-optimizing control variable towards a setpoint value by generating the input based on the self-optimizing control variable and providing the input to the building equipment. The function comprises multiplying the measured state by a matrix and adding an offset vector. Values of elements of the matrix and the offset vector are determined using a non-optimal reference.

Abstract: Systems and methods for locating building equipment in a building management system (BMS) are provided. An HVAC system includes an HVAC controller and an HVAC device. The HVAC device includes processing circuit including a memory and a processor. The processing circuit automatically determining a location of the HVAC device reporting the location of the HVAC device to the HVAC controller.

Abstract: A network system for interconnecting an operational technology (OT) network and an information technology (IT) network in a building. The network system includes an OT network, an IT network, and a network tool. The network tool is configured to obtain a current network configuration of a plurality of OT network switches in an OT network. The current network configuration includes at least one of the network addresses of the plurality of OT network switches and a routing table associated with the plurality of OT network switches. The network tool is further configured to update the routing table to route network traffic between the OT network and an IT network. The network tool is further configured to update the network addresses of the plurality of OT network switches to have network addresses within at least one subnet of the IT network.

Abstract: A falling-film evaporator includes an evaporator cylinder, a mist eliminator disposed in the evaporator cylinder, a dispenser disposed in the evaporator cylinder, a liquid baffle disposed in the evaporator cylinder, a first chamber formed at least partially by the mist eliminator and the liquid baffle on a first side of the evaporator cylinder below the mist eliminator, a gas returning chamber formed at least partially by the mist eliminator and the liquid baffle on a second side of the evaporator cylinder above the mist eliminator, a gas-liquid separation chamber formed at least partially by the dispenser at an upper portion of the first chamber, and an evaporation chamber formed at least partially by the dispenser at a lower portion of the first chamber, and where the gas returning chamber is in fluid communication with the evaporation chamber.

Abstract: The present disclosure describes techniques concerning a fan assembly. The fan assembly may include a fan, having multiple blades to rotate about an axis, and a housing in which the fan is disposed. Additionally, the fan assembly may include an air inlet formed in a wall of the housing that is transverse to the axis. The air inlet may define an orifice and includes multiple air guides that each extend into the housing from a perimeter of the air inlet.

Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.

Abstract: A method for applying semantic information to data in a building management system (BMS). The method includes receiving unrecognized data from equipment associated with the BMS, the unrecognized data comprising a first value and an associated device identifier; providing the unrecognized data as input to a first learning model to generate a first output, the first output indicative of semantic information corresponding to the first value evaluated individually; providing the unrecognized data as input to a second learning model to generate a second output, the second output indicative of semantic information corresponding to the first value evaluated in context of a second value associated with the device identifier; and applying semantic information to the unrecognized data based on the first output and the second output. The method allows for users to configure building management systems with automatically generated semantic data tags.

Abstract: Electrolyte solutions including additives or combinations of additives that provide low temperature performance and high temperature stability in lithium ion battery cells.

Abstract: A device for illumination and fire safety in a room includes a housing, one or more light emitting devices, one or more fire safety components, and a controller. The one or more light emitting devices are coupled to the housing and configured to provide ambient lighting for the room during a normal mode of operation. The one or more fire safety components are coupled to the housing and configured to notify occupants of the room of a fire during an alarm mode of operation. The controller is configured to transition from the normal mode of operation into the alarm mode of operation in response to detecting the fire. The device may include facilities for remote self-testing which may include one or more of a light detector, a sound detector, and a smoke emission system. The device may perform the self-test in a test mode.

Abstract: An actuator system includes a shaft hub having a shaft and one or more rotation arms coupled to the shaft, one or more shape memory alloy springs coupled to the one or more rotation arms, and as a voltage source configured to apply a voltage to the one or more shape memory alloy springs. The voltage causes the one or more shape memory alloy springs to change in size or shape, thereby applying a force to the one or more rotation arms and causing the shaft hub to rotate. The actuator system also includes a processing circuit configured to receive an indication of a desired incremental rotation for the shaft hub and apply a voltage corresponding to the desired incremental rotation to the one or more shape memory alloy springs, causing the shaft and the shaft hub to rotate about a central axis.

Abstract: One or more non-transitory computer readable media contain program instructions that, when executed, cause one or more processors to: receive first raw data including one or more first data points generated by a first object of a plurality of objects associated with one or more buildings; generate first input timeseries according to the one or more data points; access a database of interconnected smart entities, the smart entities including object entities representing each of the plurality of objects and data entities representing stored data, the smart entities being interconnected by relational objects indicating relationships between the smart entities; identify a first object entity representing the first object from a first identifier in the first input timeseries; identify a first data entity from a first relational object indicating a relationship between the first object entity and the first data entity; and store the first input timeseries in the first data entity.

Abstract: One or more non-transitory computer readable media contain program instructions that, when executed, cause one or more processors to: receive first raw data including one or more first data points generated by a first object of a plurality of objects associated with one or more buildings; generate first input timeseries according to the one or more data points; access a database of interconnected smart entities, the smart entities including object entities representing each of the plurality of objects and data entities representing stored data, the smart entities being interconnected by relational objects indicating relationships between the smart entities; identify a first object entity representing the first object from a first identifier in the first input timeseries; identify a first data entity from a first relational object indicating a relationship between the first object entity and the first data entity; and store the first input timeseries in the first data entity.

Abstract: One or more non-transitory computer readable media contain program instructions that, when executed, cause one or more processors to: receive first raw data including one or more first data points generated by a first object of a plurality of objects associated with one or more buildings; generate first input timeseries according to the one or more data points; access a database of interconnected smart entities, the smart entities including object entities representing each of the plurality of objects and data entities representing stored data, the smart entities being interconnected by relational objects indicating relationships between the smart entities; identify a first object entity representing the first object from a first identifier in the first input timeseries; identify a first data entity from a first relational object indicating a relationship between the first object entity and the first data entity; and store the first input timeseries in the first data entity.

Abstract: Disclosed herein are related to a system, a method, and a non-transitory computer readable storing instructions for operating an energy plant comprised of heating, ventilation and air conditioning (HVAC) devices. In one aspect, the system generates gradient data indicating a gradient of operating performance of the energy plant with respect to values of a plurality of control variables of HVAC devices. The system determines, from the plurality of control variables, a reduced group of control variables of the HVAC devices based on the gradient data. The system determines a set of values of the reduced group of control variables. The system operates the energy plant according to the determined set of values of the reduced group of control variables.

Abstract: The present disclosure is directed to an adjustable mounting assembly for a fan motor, having a frame defining a space configured to receive the fan motor, a fixed nut coupled to the frame, and a bolt extending through the fixed nut and into the space. The frame is configured to mount to a heating, ventilation, and/or air conditioning (HVAC) unit, and the bolt is adjustable relative to the fixed nut to adjust a position of the fan motor within the space.