Abstract: Disclosed techniques include liquid purification with pressure vessels. Access to a set of at least two pressure vessels is obtained. The pressure vessels are interconnected using piping and computer-controlled switching valves. A first pressure vessel of the set is filled with a liquid. A second pressure vessel of the set is filled with a pressurized gas. The pressurized gas is sharp interface immiscible with the liquid. Switching valves are controlled to enable the pressurized gas in the second pressure vessel to force the liquid from the first pressure vessel into a purification chamber. Additional switching valves are controlled to enable a third pressure vessel to fill with liquid while a fourth pressure vessel is filled with purification chamber retentate. The liquid is prepurified prior to filling the first pressure vessel. The prepurifying is enabled by compressed air. The purification chamber includes a reverse osmosis chamber.

Abstract: A system for determining power flows in a power plant comprising an energy storage system (ESS) and a power generation system includes at least one memory storing a power plant model of the power plant and at least one processor. The power plant model includes an ESS model including a battery model, a power generation system model, a power price schedule for first and second loads configured to receive power from the power plant, and system relationships between the models. The at least one processor is configured to receive a power demand schedule representing expected power demands from the first load and the second load and determine, based on the power demand schedule, the power price schedule, and the system relationships, a power flow rate forecast for at least one point in the power plant.

Abstract: A system for optimizing a network of power plants includes at least one memory storing a network model of a network of power plants and at least one processor. The network model includes a first power plant model of a first power plant including equipment models of power plant equipment of the first power plant, a second power plant model of a second power plant including equipment models of power plant equipment of the second power plant, and a plant relationship between the first power plant and the second power plant. The at least one processor is configured to receive a first input including an augmentation and replacement schedule for the second power plant, receive a second input modifying an attribute of a first equipment model of the first power plant model, and modify the schedule for the second power plant based on the second input and the plant relationship.

Abstract: Disclosed techniques include energy transfer using high-pressure vessels. Liquid is pumped into a high-pressure vessel to pressurize a gas. The gas can include air. Liquid is sprayed into the high-pressure vessel to cool the gas. Heat exchange is performed to cool the liquid before spraying the liquid into the high-pressure vessel. The spraying liquid into the top and the bottom of the high-pressure vessel is accomplished using nozzles in a top portion and nozzles in a bottom portion of the high-pressure vessel. The pressurized gas is transferred into a storage reservoir. The storage reservoir can include an underground cavern or aquifer. Gas from the storage reservoir is delivered to drive a turbine to recover stored energy. The extracting gas from the storage reservoir is accomplished using an additional high-pressure vessel. Heat exchange is performed to warm the liquid before spraying the liquid into the additional high-pressure vessel.

Abstract: Disclosed herein are techniques for efficiently providing controller data as part of a maintenance or update process. Techniques include receiving, from a first remote computing device, a message associated with at least one controller extracting, based on the received message, an image of software associated with the at least one controller; accessing, based on the extracted image, a delta file; and transmitting the accessed delta file to a second remote computing device.

Abstract: An energy management system (EMS) and corresponding EMS manager are provided that provide improved extensibility and dynamic updating of models for predicting and optimizing power system management. In one aspect, an EMS predicts generation and consumption of a power system and optimizes operation of the power system using various forecasting and optimization models. The models may be managed and updated by the EMS manager based on data received from the EMS and other EMSs in communication with the EMS manager. The EMS manager may be configured to dynamically update and promulgate updates to models used by the EMS and other aspects of the EMS. The EMS may have an architecture including an application layer configured for the specific management system and a collection of updatable and expandable modules to facilitate forecasting, optimization, communication, and data management for the managed system.

Abstract: A device, a method for determining relative positions of power consumers based on a high-frequency signal, and a computer-readable storage medium are provided. The device is applied to a distribution transformer supply zone. The device includes a resonance or signal generator and a direction detector, the resonance or signal generator is disposed in a user electricity meter, the direction detector is disposed on a power line, the resonance or signal generator is configured to transmit a high-frequency signal or generate resonance in response to the high-frequency signal; the direction detector is configured to monitor a voltage and a current of the high-frequency signal flowing into the user electricity meter, and determine, based on a phase difference between the voltage and the current, a relative position relationship of two adjacent user electricity meters on the power line.

Abstract: To reduce a load on a client terminal that uses a device under control. A first control unit operates the device in response to a device use request from the client terminal. A detection unit detects a failure of the device. A transfer unit transfers, when a failure is detected in an operating device under control of the first control unit, the device use request from the client terminal to another device control apparatus connected via the network. A second control unit operates, when the device use request is received from the other device control apparatus via the communication interface, the device in response to the request.

Abstract: A blockchain-based new energy power data transmission method for a photovoltaic module, comprising the following steps: S1, acquiring photovoltaic new energy power data; S2, converting the photovoltaic new energy power data acquired in S1 into photovoltaic new energy power image data; S3, processing the photovoltaic new energy power image data to obtain processed photovoltaic new energy power image data; and S4, transmitting the processed photovoltaic new energy power image data to a photovoltaic new energy power management platform. The invention can guarantee the security of acquired photovoltaic new energy power data and prevent the data from being tampered.

Abstract: A machine tool including a fixed cover and a movable cover for covering at least part of a machining region includes a cover control device that includes a driving circuit for driving the movable cover, an abnormality detection device that detects an abnormality while the movable cover is driven, a self-diagnosis device that performs evaluation on whether the abnormality detection device is normal, and an output device that outputs a result of the evaluation by the self-diagnosis device. The self-diagnosis device is configured to perform the evaluation on whether the abnormality detection device is normal based on an operating state of the abnormality detection device at a time when a pseudo abnormality is generated on the movable cover by driving the movable cover via the driving circuit.

Abstract: A system for monitoring and optimizing fuel consumption by a genset at an oil rig is described. Gensets require large amounts of fuel to initiate and to maintain in a standby, idling position. The system accesses data in a drill plan to determine the present and future power requirements and initiates gensets if needed; otherwise gensets can be shut down. Excess power can be stored in a power storage unit such as a capacitor, battery, or a liquid air energy storage unit.

Abstract: Certain aspects of the present disclosure relate to a local energy management system (LEMS) at local mixed power generating sites for providing grid services and grid service applications. The LEMS generally serves as a local power control agent for facilitating energy management at the local site level by controlling and leveraging a plurality of local assets deployed at the local site, and combining a plurality of generated power from each site which acts as its own virtual power plant for delivering grid services to the grid. In addition, the LEMS has the ability to effectively handle and fulfill energy and electrical objectives of the grid services, including regulation or demand response objectives from the grid, by conveying operational set points that control the power charge and discharge at each local asset in order to meet those objectives.

Abstract: A load control system may comprise an electrical load control device and/or a computing device. The electrical load control device may control, for example, motorized window treatments (e.g., shades), lighting controls, and/or sensors (e.g., occupancy, radio window, daylight, etc.). For example, a load control device comprising a motorized window treatment may control the position of a covering material in the window treatment. The computing device may comprise a processor and/or a graphical user interface (GUI). The computing device may be a server and/or a user device, such as a wireless user device (e.g., a cellular phone, tablet, or laptop computer). The computing device may be configured to provide graphical representations that may be displayed on a GUI based on load control information.

Abstract: A method for generating an inductive reactive power for a public grid by an electrical load apparatus, in which, in a first operating mode of the electrical load apparatus, an alternating current of the public grid is transformed by a transformer device and the transformed alternating current is provided for an electrical load of the electrical load apparatus. In a second operating mode of the electrical load apparatus that is different from the first operating mode, the transformer device is short-circuited in a phase-controlled manner by a switching device of the electrical load apparatus, wherein the switching device is phase-controlled such that, depending on a phase angle of the phase control of the switching device by the transformed alternating current, the inductive reactive power for the public grid is generated by the switching device.

Abstract: An environment history acquired from the environment in a container during transport of an article, ascertain a transport status including a transport route and the article, and execute quality control of the article in real time. An article management server memorized location data and a device code received from a GPS receiver in a second memory unit in association with each other, memorizes temperature data received from a delivery unit regularly and/or irregularly in a third memory unit associated with a unit number respectively, and memorizes a unit number and a serial number of an article in a fourth memory unit in association with each other. A transport-status-data generation unit uses a set of a certain unit number and a device code as a key, to generate transport status data representing a serial number, location data, and temperature data of the article during transport, based on the location data acquired from the second memory unit corresponding to the device code.

Abstract: Techniques for forecasting solar power generation include a computing device determining a clear-sky solar power generation level for a photovoltaic installation; receiving, from a first measurement device, measurement data indicating an amount of cloud cover at a first location of the first measurement device, wherein the first measurement device and the photovoltaic installation are located in a same geographical area; and generating a solar power generation forecast for the photovoltaic installation based on the clear-sky solar power generation level and the measurement data.

Abstract: A method and a device for forecasting an electric load, an electronic device, and a computer-readable storage medium are provided. The method includes: acquiring historical load data prior to a forecast date; generating a load sequence based on the historical load data; performing variational mode decomposition on the load sequence, to obtain multiple intrinsic mode components and a residual that are corresponding to the load sequence; and inputting the multiple intrinsic mode components and the residual into respective forecasting models, and determining a load value on the forecast date based on forecasting results of all the forecasting models.

Abstract: A platform and components for an automated consumer retail utility marketplace are provided, including components for machine learning, components for gamification, and components for supporting a related consumer mobile application that enables improved visibility and control by a consumer over its interaction with energy markets.

Abstract: A power control system performs power control such that a target power set for a group including a plurality of units of power consumption is not exceeded. The system includes a limit value setting unit that sets, for each of the units of power consumption, a limit value of power usage for a predetermined time period based on the target power, and an adjustment unit that adjusts, within the predetermined time period, the limit value of each of the units of power consumption based on an actual result of power usage within the predetermined time period.

Abstract: The present disclosure is directed to machine learning of electrical power system behavior, and related systems, apparatuses, and methods. A controller of an electrical power system includes a data storage device configured to store model data indicating a model load power consumed by loads of the electrical power system. The controller also includes a processor configured to determine current data including current load power consumed by the loads, modify the model data by aggregating the model data with the current data, and determine a set of control values for a set of control variables to effectuate a change to operation of the electrical power system based, at least in part, on the model data.