9 results about "Energy rate" patented technology

The invention discloses a comprehensive energy low-carbon optimization scheduling method and system based on a master-slave game. The method comprises the following steps: constructing a hydrogen-containing comprehensive energy system model, and inputting data of an external energy supply side, energy conversion and energy storage equipment and a load side to obtain initialized system operation parameters; building a user side model based on the model, generating an initial electricity / heat load demand, calculating a user alternative energy consumption rate and dynamically adjusting an electricity / heat energy conversion ratio in combination with a price difference of real-time electricity and heat prices and user energy consumption behavior characteristics, and forming a new electricity / heat load distribution scheme; the integrated energy operator generates an electricity / heat price signal and formulates a dual excitation strategy, the user aggregator adjusts the user energy load and response strategy according to the signal and the strategy and feeds back the strategy to the integrated energy operator, and the user aggregator and the integrated energy operator adjust bidirectional feedback iteration to solve Stackelberg balance through the electricity / heat price signal and the load to obtain an optimal scheduling scheme. According to the invention, economic low-carbon operation and benefit win-win between subjects can be realized.

The invention provides a hybrid preemptive real-time operating system and method, and belongs to the technical field of artificial intelligence. The hybrid preemptive real-time operating system comprises a photovoltaic circuit, an energy storage unit, a voltage detection circuit, an energy rate calculator, an energy predictor and a self-adaptive task scheduler which are connected in sequence; the adaptive task scheduler is used for adaptive scheduling of different tasks in the system; according to the system, tasks are divided into calculation tasks and peripheral tasks, hybrid preemptive scheduling is introduced, the calculation tasks are scheduled preferentially and can be suspended and recovered at any execution point, and preemptive scheduling is adopted for the calculation tasks; performing non-preemptive scheduling on peripheral tasks; on the premise that the efficiency is improved, priority calling of high-priority tasks is achieved, and it is guaranteed that the equipment can still keep reliable real-time performance in the power interruption period.

The present invention discloses a method for calculating the energy dissipation rate of an energy dissipation well, and relates to the technical field of water conservancy data processing. The method comprises: obtaining water inlet parameters, well parameters and water outlet parameters of the energy dissipation well; establishing an energy equation according to the water inlet parameters, the well parameters and the water outlet parameters; calculating the head loss according to the energy equation; calculating the energy dissipation rate according to the head loss; wherein the head loss comprises: water inlet head loss, well head loss and water outlet head loss. The present invention obtains the water inlet parameters, well parameters and water outlet parameters of the energy dissipation well, calculates the water inlet head loss, the well head loss and the water outlet head loss, calculates the energy dissipation rate through the three head losses, and improves the accuracy of calculating the energy dissipation rate of the energy dissipation well.

Aspects of the invention relate to phase change materials which may be used for the cooling of air. In particular, the compositions are phase change materials comprising dimethyl sulfoxide, and a salt selected from the group consisting of: sodium nitrate, potassium nitrate, and lithium bromide. The phase change materials are designed for the efficient storage and release of thermal energy, by using them, heat and cold can be conserved during low-demand, night-time hours, taking advantage of lower energy rates. This stored energy is then released during peak demand times, reducing the strain on power grids and aligning with energy-saving strategies that capitalize on off-peak pricing.

An electronic device, according to one embodiment, may comprise: an input interface for receiving an operation mode from a user; a communication interface for performing communication with an external device, including a server device or a user device, so as to acquire, from the external device, time series data, including at least one among energy rate data or carbon intensity data per time period, and user-set energy consumption data; and a processor for obtaining processed time series data on the basis of a value derived by adding a correction value to the time series data, and determining a recommended operation time period on the basis of the processed time series data and the user-set energy consumption data.

The application discloses a rock damage strength identification and instability discrimination method based on energy rate response difference, obtains rock elastic strain energy and dissipation strain energy through axial stress-strain curve data, calculates rock sample elastic energy rate and dissipation energy rate data through differential calculation of energy parameters on strain, and determines the damage strength value of the rock sample through the peak value of the energy rate response difference curve of the elastic energy rate and the dissipation energy rate difference, so that the instability state of the rock material can be judged. The method does not need to monitor additional data, is simple to operate, has a unique identification point, is good in objectivity, and is relatively accurate and reliable in identification result.

The present application discloses a molten salt energy storage data analysis and management system and method. The method includes: acquiring and processing the internal temperature information and molten salt liquid level information during the operation of the molten salt energy storage system, obtaining heat exchange rate information and charge / discharge energy rate information and conducting comprehensive analysis to obtain working efficiency parameters, determining whether there are faulty devices in the molten salt energy storage system, and dealing with the faulty devices; acquiring and processing the internal pressure information and molten salt flow information during the operation of the molten salt energy storage system, obtaining the pressure variation coefficient and flow rate change coefficient of the molten salt energy storage system and conducting comprehensive evaluation to obtain the working safety parameters of the molten salt energy storage system, determining whether there are abnormal devices in the molten salt energy storage system, and dealing with the abnormal devices; thereby comprehensively evaluating the working efficiency and working safety of the molten salt energy storage system to ensure the safe and stable operation of the system.

The invention relates to the technical field of power transmission and transformation equipment monitoring, in particular to a weak traveling wave capturing method based on energy change rate kurtosis and phase spectrum order degree, and the method comprises the steps: collecting and processing a traveling wave signal of a line, and obtaining a preprocessing signal; screening based on sliding window kurtosis to obtain an energy mutation event; and judging whether a fault occurs based on the cross-scale phase gradient entropy. In order to solve the problem that online detection and extraction of traveling wave signals are relatively difficult in the prior art, two screening processes of sliding window kurtosis and cross-scale phase gradient entropy based on the energy change rate are introduced, extremely weak signal mutation can be reliably captured from strong noise by detecting the kurtosis of the energy change rate instead of the energy amplitude value, and the signal detection accuracy is improved. The problem of report failure caused by low signal-to-noise ratio of a traditional method is solved. According to the cross-scale phase gradient entropy criterion, fault traveling waves and random noise with physical rules can be effectively distinguished from the internal structure order of the signals, and the false alarm rate is greatly reduced.

Aspects of the invention relate to phase change materials that can be used to cool air. In particular, the phase change material is a composition comprising dimethyl sulfoxide and a salt selected from the group consisting of sodium nitrate, potassium nitrate and lithium bromide. The phase change materials are designed for efficient storage and release of thermal energy, by use of which heat and cold can be preserved at low demand, nighttime periods with lower energy rates. Then, the stored energy is released during a peak demand period, so that the pressure on the power grid is reduced, and the energy-saving strategy is kept consistent with an energy-saving strategy using off-peak pricing.