Abstract: Disclosed techniques include controlled liquefaction and energy management. A gas within a first pressure containment vessel is pressurized using a column of liquid. The gas that is being pressurized is cooled using a liquid spray, wherein the liquid spray is introduced into the first pressure containment vessel in a region occupied by the gas. The liquid spray keeps the pressurizing to be isothermal. The gas that was pressurized is metered into a second pressure containment vessel, wherein the metering enables liquefaction of the gas. The gas that was pressurized is stored in a gas capacitor prior to the metering. The gas that was liquefied in the second pressure containment vessel is pushed into a holding tank, wherein the holding tank stores a liquefied state of the gas, and wherein the pushing is accomplished by the pressure of the gas that was metered into the second pressure containment vessel.

Abstract: Systems, methods, and apparatus for smart electric power grid communication are disclosed in the present invention. At least one grid element is constructed and configured in network-based communication with a server via at least one coordinator. The at least one grid element is transformed into at least one active grid element automatically and/or autonomously after initial connection with the server. The at least one active grid element sends and receives messages to and from the server via at least one coordinator. The at least one coordinator matches and prioritizes the at least one active grid element. The at least one coordinator provides a priority flag on the messages. The at least one coordinator tracks an actual amount of power introduced to and available for an electric power grid or a curtailment power available from the at least one active grid element.

Abstract: Systems, methods and apparatus for electric power grid management and communications are disclosed. At least one active grid element is constructed and configured in network-based communication with a server via at least one coordinator. The at least one active grid element communicates Internet Protocol (IP)-based messages with the server via the at least one coordinator in real time or less than 15 minutes interval. The at least one active grid element participates actively in an electric power grid. The at least one active grid element has an energy consumption pattern or an energy supply pattern. The IP-based messages comprise at least one IP packet including a content, a priority, a security, and a transport route. The content comprises an amount of power available for the electric power grid or an amount of curtailment power available at an attachment point of the at least one grid element.

Abstract: A robot is configured to assist an end-user with creative tasks. While the end-user modifies the work piece, the robot observes the modifications made by the end-user and determines one or more objectives that the end-user may endeavor to accomplish. The robot then determines a set of actions to perform that assist the end-user with accomplishing the objectives.

Abstract: The present invention relates to a method for power balancing a power grid (10) having multiple phases (12:1,2 3) and a common ground (0). The power grid (10) is connected to at least one load (13, 17) causing a non-uniform power consumption between the multiple phases (12: 1, 2, 3) of the power grid (10). The method comprises: monitoring power provided to the power grid (10) in controller (18), storing available energy in the power grid (10) in an energy storage (16) using multiple inverters (I1, I2, I3), each inverter (I1, I2, I3) is connected between the energy storage (16) and each phase (12: 1, 2, 3) of the power grid (10), and redistributing power between phases (12: 1, 2, 3) based on power available in the energy storage (16) by controlling power flow through the inverters (I1, I2, I3) by the controller (18) based on the non-uniform power consumption.

Abstract: In a power control system a server maintains asset models that represent asset behaviour, each asset model being in real-time communication with its asset to dynamically inform the model of the status of the asset. A test is performed at the server by issuing a command to an asset requesting the asset to perform a function. Sensors at the asset measure physical parameters at the asset and report these to the server. The server determines whether the asset responded to the command and, if the asset responded, how it responded over time. The server establishes a model for the asset in terms of an energy capacitance and a time constant based on the measured response. An optimizer determines which assets are to participate in which service models. The server sends instructions to the selected assets to attempt to fulfill the services.

Abstract: A system for allocating resources across equipment that operate to serve one or more loads of a building. The system includes one or more memory devices storing instructions that cause one or more processors to receive operational data defining at least one of planned loads to be served by the equipment or utility rates for one or more time steps within a simulation period, determine whether the operational data define the planned loads or the utility rates for each time step within the simulation period, and in response to a determination that the operational data do not define the planned loads or the utility rates for each time step within the simulation period, identify one or more time steps for which the planned loads or the utility rates are not defined and initiate an action to define the planned loads or the utility rates for the identified time steps.

Abstract: A system and method for optimizing utilization of a plurality of energy sources of a power site are provided. The optimization can involve receiving a weather forecast and expected power output for a predefined time duration, and a power source for one or more time intervals to provide output power for the power site. The determination can be based on a future weather forecast and expected power output. The optimization can involve minimizing an amount of time that generator(s) are the power source and maximizing an amount of time that solar panel(s) are the power source.

Abstract: Embodiments implement non-intrusive load monitoring using ensemble machine learning techniques. A first trained machine learning model configured to disaggregate target device energy usage from source location energy usage and a second trained machine learning model configured to detect device energy usage from source location energy usage can be stored, where the first trained machine learning model is trained to predict an amount of energy usage for the target device and the second trained machine learning model is trained to predict when a target device has used energy. Source location energy usage over a period of time can be received, where the source location energy usage includes energy consumed by the target device. An amount of disaggregated target device energy usage over the period of time can be predicted, using the first and second trained machine learning models, based on the received source location energy usage.

Abstract: An intelligent impedance injection module is for use with transmission lines in a power grid. The intelligent impedance injection module has a plurality of transformer-less impedance injector units and a controller. The controller changes injector gain of the impedance injector units to compensate for current swings in a transmission line.

Abstract: A power supply control system includes a power generator for providing a signal to a load. The power generator includes a power controller controlling a power amplifier. The power generator includes an adaptive controller for varying the output signal controlling the power amplifier. The adaptive controller compares an error between a measured output and a predicted output to determine adaptive values applied to the power controller. The power generator also includes a sensor that generates an output signal that is digitized and processed. The sensor signal is mixed with a constant K. The constant K is varied to vary the processing of the sensor output signal. The value K may be commutated based on the phase, frequency, or both phase and frequency, and the bandwidth of K is determined by coupled power in the sensor output signal.

Abstract: This invention provides an energy storage device manager, a system comprising the energy storage device manager, computer-readable media configured for providing the energy storage device manager, and methods of using the energy storage device manager. The energy storage device manager can optionally control charge buses and/or load buses to modulate the state of charge of an energy storage device. The energy storage device manager can optionally be configured with a plurality of modes that target different states of charge. The plurality of modes can optionally comprise a maintain mode which targets a nominal (e.g. 50%) charge state and a high-charge mode that targets a state of charge greater than the maintain mode. The plurality of modes can optionally further include an in-use mode which targets a state of charge greater than the maintain mode, and turns on a load bus that is turned off in the preparation mode.

Abstract: Disclosed are various embodiments for optimizing energy management. A quantity of renewable power that will be generated by renewable energy generation sources can be forecasted. The energy demand for a building or a cluster of buildings can be forecasted. A pricing model for buying energy from a grid can be determined. A quantity of energy to import from the grid or export to the grid can be scheduled based on the quantity of renewable energy forecasted and the state of charge or health of battery energy storage system, current and future operations of building HVAC, lighting and plug loads system, the forecasted energy demand for the building, and the pricing of the energy from the grid.

Abstract: There is provided a load controller for a system, the system comprising a first sub-system arranged to deliver a first load, the load controller being operable to: acquire a first target load profile, being the load initially desired for delivery by the first sub-system over an operational period; measure in real time during an update window within the operational period: a first parameter of the first sub-system, to obtain a first measured Load Controller monitor signal; and the first load, to obtain a first measured load signal; develop in real time a model of the first sub-system, using the first measured monitor signal and the first measured load signal, the model relating the first load to the first parameter; given the first target load profile, and the model of the first sub-system, generate for a future period a first predicted monitor signal, the future period being ahead of the update window; and determine whether the first predicted monitor signal satisfies at least one predetermined criterion.

Abstract: Systems and methods to test an electric power delivery system include a communication subsystem to transmit test signals to one or more merging units, a test subsystem to transmit a test data stream to the one or more merging units via the communication subsystem, and a processor subsystem to receive looped back data from the one or more merging unit in response to the transmitted test data stream and to determine an operating condition based on the looped back data.

Abstract: A system for autonomously validating the topology information of an electrical power distribution system is provided. For example, the system includes a group of meters previously determined to be connected to the same transformer of an electrical power distribution system. The group of meters is configured to perform family check periodically or upon request and to identify orphan meters in the group. The identified orphan meter can contact a community device communicatively connected to meters in more than one group to request a community check. The community device performs the community check by contacting meters in other groups of meters and obtain their family signature data. The community device further determines whether the orphan meter belongs to a new family based on the voltage data of the orphan meter and the family signature data of other groups. The orphan meter can report the community check results to a headend system.

Abstract: A variable air volume controller includes a communications interface and a processing circuit. The communications interface is configured to facilitate communication with an external device and building equipment. The processing circuit is configured to store a plurality of predefined, selectable-applications; receive a selection of one of the plurality of predefined, selectable-applications; and implement the selected application such that the building equipment is controlled according to the selected application.

Abstract: A method may comprise receiving, at a central controller, a command, from a remote control, to adjust a feature of a first component of an air mattress framework; relaying, from the central controller, the command to the first component; receiving from the first component at the central controller, an indication of the success of the command; and relaying the indication from the central controller to the remote control.

Abstract: The present disclosure relates to a power management method and apparatus, a computing device, a medium, and a product. The power management method includes a monitoring step, a prediction step, an error calculation step and an adjustment step including adjusting power supply plan or a power demand of a user when at least one of a first error is greater than a first predetermined threshold or a second error is greater than a second predetermined threshold.

Abstract: A system for controlling a turbine is disclosed. The system includes a turbine control fuel governor that has a plurality of VCPIDs operating in parallel with one another. Each VCPID is associated with a respective turbine parameter and one or more external parameters. Each VCPID incorporates feedback from the parallel operating VCPIDs to feed an integral term of a current VCPID in the following manner: a previous derivative gain and a previous proportional gain are summed and subtracted from a selected output for the turbine to yield a result, and the result is input to an integral gain portion of the current VCPID.