23 results about "Energy mix" patented technology

A system and method for integrated optimization of autonomous electric vehicle fleets across transportation and electricity networks which employs artificial intelligence to dynamically allocate autonomous electric vehicles between mobility services and electricity grid services based on real-time conditions. The platform acquires data including energy mix forecasts, earth observation measurements, vehicle owner schedules, and emission-based route penalties to generate coordinated allocation decisions. Vehicle owners specify availability through a scheduling interface. The system optimizes vehicle utilization through a hierarchical optimization approach implementing mobility demand-side flexibility and electricity demand-side flexibility simultaneously. Multi-objective genetic algorithm optimization balances revenue generation, energy costs, emissions reduction, and battery health. The integrated approach maximizes value creation across both transportation and energy domains, reducing urban emissions while enhancing grid stability through coordinated management of distributed energy resources in autonomous electric vehicle fleets.

Sustainable enterprise-wide energy balancing is presented herein, which describes a series of processes to make choices in favor of a sustainably sourced energy mix, grid reliability, and / or to prioritize critical systems in times of a catastrophe. An example method comprises receiving a group of input data representing a standardized phrase, wherein the group of input data is received from first equipment associated with an electric power generation and transmission operator entity; parsing the standardized phrase to identify an initiating event; in response to identifying the initiating event, determining that an initiating threshold value associated with the initiating event has fallen below a defined risk threshold value; and executing, on remote second equipment, a flow of customer defined processes representing a group of runbooks.

The invention belongs to the technical field of sodium-ion battery materials, and mainly relates to a low-cost high-specific-energy mixed positive electrode material and a preparation method and application thereof. The mixed positive electrode material is prepared from 90 to 100 parts of P2 type layered oxide and 1 to 10 parts of polyanionic sodium ferric sulfate; the chemical formula of the P2 type layered oxide is Na2 / 3Ni2 / 3-xMn2 / 3-yTiMgZnO2, x is more than or equal to 0, and y is less than or equal to 1 / 3; the chemical formula of the polyanionic sodium ferric sulfate is Na < 2 + 2 > z Fe < 2-z > (SO4) 2, wherein z is more than or equal to 0 and less than or equal to 0.3. According to the mixed positive electrode material, through the synergistic effect of the crystal structures, the two materials are embedded or wrapped, so that the porosity is reduced, the compaction density is increased, and the specific discharge capacity is improved.

The invention relates to the technical field of multi-energy complementary energy systems, in particular to a method suitable for multi-energy complementary linkage economy evaluation, which comprises the following steps: S1, constructing a three-dimensional dynamic index system, and designing a time sequence weight matrix based on the peak-flat-valley period operation difference of an energy system; s2, according to the time sequence weight matrix, weight pre-judgment adjustment is conducted on the three-dimensional dynamic index system through LSTM, and a real-time dynamic index system is output. Through the combined design of the three-dimensional dynamic index and the time sequence weight, the total cost and total income of multi-energy linkage are comprehensively covered; the problem that a traditional static index cannot adapt to a dynamic linkage scene is effectively solved, and the scene adaptability is improved; a real-time feedback correction mechanism is introduced through a double-stage evaluation algorithm, the evaluation error rate is reduced conveniently, multi-energy complementary systems of different scales and different energy combinations can be flexibly adapted, only basic cost parameters and a weight matrix need to be adjusted, and the application range is widened.

The invention relates to a combined two-way auction-based integrated energy microgrid group transaction optimization method, which comprises the following steps: S1, establishing a one-time combined two-way auction model: a seller packs electric energy and heat energy into various energy units according to different proportions according to own operation characteristics, and sets that both the buyer and the seller participate in bidding, solving a one-time combined two-way auction bid winning and bidding problem according to the bidding information; s2, performing iterative comprehensive energy combination two-way auction: disassembling a one-time combination two-way auction bidding problem into sub-problems of a buyer and a seller, making an auction sequence according to a first-round auction result obtained by solving, increasing the price to the buyer round by round and decreasing the price to the seller round by round in a subsequent round, and obtaining latest supply and demand information by participants in each round, and sequentially solving the sub-problems according to an auction sequence, adjusting an energy purchasing and selling scheme, and iteratively converging to an optimal transaction strategy through multiple rounds of information interaction and calculation. Compared with the prior art, the system has the advantages of high transaction efficiency, high reliability, low transaction cost and the like.

Aspects of the disclosure relate to energy optimization. A computing platform may receive a cryptocurrency request indicating a gas price and KPIs of the cryptocurrency request. The computing platform may input the gas price and the KPIs into a mining optimization model, which may cause the mining optimization model to output an energy mix for use in processing the cryptocurrency request. The energy mix may indicate energy sources, capable of providing an amount of energy needed to process the cryptocurrency request and used to support operation of a data center configured to process cryptocurrency requests, and a cost of the amount of energy from the energy mix may be less than a cost of the amount of energy from other available energy sources. The computing platform may send commands directing the data center to process the cryptocurrency request using the energy mix, which may cause it to do so.

The invention discloses a fan energy efficiency optimization method and system, and relates to the technical field of energy efficiency optimization, and the method comprises the steps: building a standardized data set, setting a multi-dimensional optimization target according to a preset qualitative constraint condition, building an energy storage capacity configuration model based on the multi-dimensional optimization target, and outputting an optimal energy storage capacity configuration scheme. Multiple types of operation scenes are divided, and the dynamic response process of the fan and the energy storage system in various operation scenes is simulated by obtaining an optimal control decision, so that corresponding control strategies are generated; and constructing a multi-energy combination optimization model according to the control strategy and the energy composition condition of the wind power plant, solving the multi-energy combination optimization model, designing a multi-energy hierarchical collaborative architecture based on a solving result, and generating a multi-energy collaborative scheduling execution strategy. The dynamic coupling and cooperation capability of the fan and the energy storage system is enhanced, and a solid foundation is laid for improving the energy efficiency of the fan while the investment cost is reduced.

The application relates to a piston motion waste energy mixed collection device and method based on a magneto-rheological fluid, which comprises a cylinder and an energy storage circuit, the cylinder comprises a magneto-rheological fluid cavity and a piston cavity located in the magneto-rheological fluid cavity, a shiftable magneto-rheological fluid body is arranged in the magneto-rheological fluid cavity, the energy storage circuit comprises a coil wound outside the magneto-rheological fluid cavity and an energy storage element electrically connected with the coil, a piston capable of moving through the coil and having magnetism is arranged in the piston cavity, the method comprises the following steps: based on the above device, when the piston moves in the piston cavity and / or the cylinder vibrates, the magneto-rheological fluid is magnetized and / or periodically shaken in the magneto-rheological fluid cavity to cause the magnetic flux of the coil to change, an electric current is generated in the coil and energy is stored to the energy storage element, the device can be used for supplying power for micro-electric equipment, is beneficial to reducing energy consumption, improving resource utilization and mechanical energy-electric energy conversion efficiency, and can effectively solve the waste of two kinds of independent waste energies including piston reciprocating motion and vibration generated in equipment operation.

The invention relates to a port equipment cluster multi-energy control method based on quantum deep reinforcement learning, and the method comprises the steps: obtaining the energy related data and equipment state data of a port, and carrying out the data preprocessing; converting the preprocessed energy related data and equipment state data into quantum state data according to a quantum coding rule; according to the quantum state data, generating probability distribution for selecting an energy combination by using a quantum strategy network, and selecting an optimal energy combination according to a greedy strategy; an optimal energy combination is optimized by utilizing a reward function, value network updating and quantum back propagation optimization; and controlling energy equipment of the port according to the optimized optimal energy combination. Compared with the prior art, the method can comprehensively consider the cost, the energy utilization rate, carbon emission and other factors according to the actual operation condition of the port, accurately selects the most suitable energy, effectively improves the energy utilization efficiency, and reduces the energy waste.

The invention provides an offshore wind power multi-energy complementary cooperative power generation system and a control method, and belongs to the technical field of offshore wind power. The system comprises an offshore wind power plant, an energy storage system, a solar photovoltaic power generation system, a tidal energy power generation device and an intelligent control system, and a core framework of'quaternary energy combination + intelligent central management and control 'is formed. According to the control method, real-time monitoring, accurate prediction, dynamic scheduling and optimal distribution are taken as core logic, accurate prediction of generated power and power grid load is realized by adopting an LSTM neural network algorithm, and multi-energy cooperation is realized through surplus / gap scheduling and time period optimization. According to the invention, the wind and light abandoning rate can be reduced to below 5%, the comprehensive utilization efficiency of energy is improved by 18%-22%, the frequency deviation of the power grid is controlled within + / -0.2 Hz, the voltage qualification rate is greater than or equal to 99.8%, the problems of poor energy collaboration and incomplete control strategy of the existing system are effectively solved, and the system is adaptive to the operation requirements of large-scale offshore wind power projects.

The invention relates to a method (S1 - S8) for determining the effectiveness of indications of a proportion (X) of environmentally friendly energy types in an energy mix during future charging processes of electric vehicles (EV1, EV2) on a changed charging behavior, wherein the method determines the proportion (X) of environmentally friendly energy types in a total charging energy quantity during respective charging processes of electric vehicles (EV1) of both a first group and electric vehicles (EV2) of a second group, wherein users of the electric vehicles (EV1) of the first group are offered information (INF) about an expected proportion (X) of environmentally friendly energy types for a specific forecast period and furthermore are provided with the option of variably defining future charging windows (LF) within the forecast period, displaying the expected proportion (X) of environmentally friendly energy types.and users of the electric vehicles (EV2) of the second group are denied this information (INF). The invention also relates to a method (S1-S8) for defining a charging window (LF) at a user interface. The invention further relates to a computer program product and a data processing device.

The invention discloses an on-line monitoring method for carbon emission data, which comprises the following steps: deploying an NDIR infrared sensor, a TDLAS laser spectrometer and a thermal infrared imager at an emission port, and synchronously acquiring the concentration of carbon dioxide; calculating a real-time concentration difference value between the NDIR and the TDLAS, and if the difference value exceeds a threshold value, triggering the thermal imager to scan the temperature field; calculating a temperature standard deviation through a temperature distribution diagram scanned by the thermal imager, calculating a concentration measurement error according to the temperature standard deviation, and compensating the measurement error to obtain a real concentration; identifying a fuel characteristic peak through the pre-trained CNN; calculating the carbon emission contribution of each fuel according to the characteristic peak intensity proportion; and according to the carbon emission contribution amount of each fuel and in combination with a carbon emission threshold value, the input oxygen concentration, the fuel type and the feeding amount are automatically adjusted. The flow field interference is eliminated through the triangular array layout, and the carbon emission monitoring error under the high-temperature working condition is greatly reduced in combination with secondary calibration; based on CNN spectrum fingerprint identification and a weight coefficient calibration method, various energy co-combustion contribution degrees are accurately separated, and traceability errors are reduced.

A green energy combo cleaning machine including: a housing (10) having a water inlet (12) and a gas outlet (11), wherein a cover (13) is arranged at the opening of the water inlet (12); a filter module (20) provided in the housing (10), the filter module (20) comprising a first filter assembly (21) and a second filter assembly (22); an electrolysis unit (40) provided in the housing (10); and a separating seat (30) provided in the housing (10) between the filter module (20) and the electrolysis unit (40), the separating seat (30) having a tubular body (31) and being provided with at least one hole (32), the hole (32) being provided at the bottom of the separating seat (30); wherein, when water is filled into the water inlet (12), the water flows through the hole (32) of the separation seat (30) and into the electrolysis unit (40), wherein the water is heated to steam by the electrolysis unit (40), wherein the water vapor is passed sequentially through the tube body (31), the first filter assembly (21) and the second filter assembly (22), whereby the water is separated from the gas and the gas is expelled from the housing (10) via the gas outlet (11), wherein the second filter assembly (22) has a first part and a second part which are separated from each other by a partition plate (225),wherein the first part includes inclined plates (224) having at least a first and a second slope directed upwards in opposite directions to form a first passage between the first and second slopes extending in a serpentine upward and downward direction, wherein the second part has a second passage extending in a serpentine upward and downward direction, wherein the first passage has a larger serpentine pattern than the second passage and the first passage and the second passage are separated from each other by a separating plate, and , wherein the first filter assembly (21) comprises a base plate (211) and a plurality of filter elements (212), wherein the plurality of filter elements (212) are stacked one after the other laterally on the base plate (211), wherein a plurality of first blocking plates (213) are arranged one after the other at a distance on one side of the respective filter element, wherein the respective first blocking plates (213) each have an opening (214), wherein the base plate (211) and all filter elements (212) are each provided with a through-hole (215), and wherein the through-holes (215) are arranged offset.

The invention discloses an intelligent adjusting method for cooling and heating of a water ground source heat pump-electric condensing boiler, and relates to the technical field of water source heat pumps. The method comprises the following steps: firstly, constructing an environment-building-user-equipment four-dimensional database, and collecting full-dimensional data through multiple types of sensors and performing standardization processing; on the basis of building thermal inertia, a load curve is pre-judged through an LSTM model, a pre-adjusting instruction is generated to start a heat pump for heat storage in advance, and starting and stopping of equipment are reduced; when the temperature is extremely low, a heat pump-boiler-phase change heat storage triple generation mode is started, a dynamically updated fuzzy rule base and a gravity center method are combined for ambiguity resolution, heat pump parameters are accurately adjusted, and boiler energy supplementation is dynamically controlled according to heat storage saturation and heat pump COP; and finally, calculating a load coefficient according to user behaviors, dividing regional load levels, and matching differentiated energy combinations to form closed-loop regulation and control. Through cooperation of multiple technologies, the extreme environment adaptability and energy supply precision of the system are improved, energy consumption is reduced, and the system is suitable for various building cooling and heating scenes.

The application discloses a method and device for determining an energy combination form of a multi-energy coupling heat supply system. The method comprises the following steps: determining, for each time point in a preset heating period, a time point available load proportion combination of a plurality of energies used in the multi-energy coupling heat supply system, wherein, for any time point in the preset heating period, the time point available load proportion combination is a load proportion combination of the plurality of energies that can be used at the time point, the load proportion combination comprises a load proportion of each energy in the plurality of energies, and the plurality of energies at least comprises a renewable energy; and determining, based on the time point available load proportion combination corresponding to each time point, an optimal load proportion combination of the plurality of energies in the preset heating period, so as to determine the energy combination form of the multi-energy coupling heat supply system, with the lowest operation cost of the multi-energy coupling heat supply system as the target. In this way, the economic efficiency of the multi-energy coupling heat supply system is improved.

The utility model discloses a high-energy mixed tantalum capacitor mounting and fixing structure, which comprises a flange plate, a polygonal digging hole is arranged in the middle of the flange plate, a bolt hole with a groove is arranged on the flange plate close to the edge, and a bolt is matched with the bolt hole. The installation size is not increased, the fixing effect is good, and the sealing performance and vibration performance of the capacitor are not damaged. Compared with an existing flange plate and an existing mounting frame, more space is saved, and meanwhile better mounting and fixing effects are achieved compared with capacitor tantalum cover welding screws.

The invention discloses an AI-based low-carbon power grid space-time big data anomaly diagnosis system and method, and relates to the technical field of low-carbon power grids, and the system comprises an energy combination classification module, an abnormal power supply event analysis module, an environment fluctuation response model construction module, a conventional fluctuation judgment module, and an optimal response early warning moment analysis module. The energy combination classification module is used for classifying energy combinations of different switching modes based on historical abnormal power supply events; the environment fluctuation response model construction module is used for constructing an environment fluctuation response model corresponding to the energy combination type; the conventional fluctuation judgment module is used for substituting the stored environment objective factor values into the environment fluctuation response model in real time to judge whether the fluctuation is conventional fluctuation or not; and the optimal response early warning moment analysis module is used for outputting a judgment result based on the model and analyzing the optimal response early warning moment when a conventional abnormal event is monitored in real time.

The invention belongs to the technical field of new energy power generation, and discloses a new energy output space complementation method and a related device, and the method comprises the steps: obtaining the output data and target average output of each new energy; by taking the average output of the new energy combination as a target average output and taking the minimum fluctuation of the new energy combination as an optimization target, optimizing the combination weight of each new energy in the new energy combination to obtain the optimal combination weight of each new energy; and according to the optimal combination weight of each new energy, generating an optimal new energy complementation scheme. By introducing an effective frontier analysis method, average output and fluctuation can be comprehensively evaluated according to the proportion of different new energy resource combinations, output and fluctuation characteristics of new energy under different combination proportions can be comprehensively considered, optimization analysis of multiple new energy resource combinations is supported, and the method is suitable for large-scale popularization and application. A user is helped to realize balance between average output and fluctuation in diversified new energy combination, and optimization of a new energy combination scheme is realized, so that support is provided for configuration decision-making of new energy output complementation.

The invention provides a hydropower station water inlet stoplog gate layered water taking effect evaluation method, and the method comprises the steps: obtaining the real-time water temperature of different water level elevations through a vertical water temperature monitoring temperature chain disposed in front of a hydropower station water inlet stoplog gate, and combining the water inlet water taking influence elevation range under the stoplog gate state / non-stoplog gate state; the energy hybrid model is adopted to calculate the real-time energy difference under the stoplog gate state and / or the stoplog gate state, the equivalent mixed water temperature is used for characterization, the layered water taking effect under the stoplog gate state and / or the stoplog gate state can be directly compared and evaluated, meanwhile, the water taking effects under the operation working conditions of different stoplog gate layer numbers at different time can be directly simulated and calculated, and dispatching operation of the stoplog gate is effectively guided. The method also considers the influence of different operation stages of the stoplog gate, dynamically adjusts the water intake influence elevation range, draws a whole-process improvement effect curve, provides a basis for optimizing the dispatching operation of the stoplog gate, and effectively improves the water temperature regulation and control capability of a hydropower station.

Aspects of the disclosure relate to energy optimization. A computing platform may receive an event processing request. The computing platform may identify parameters of the event processing request. The computing platform may input the parameters into a global energy optimization model, to identify an edge computing system at which to process the event processing request. The computing platform may route the event processing request to the edge computing system along with commands to process the event processing request using an energy mix identified by a local energy optimization model, corresponding to the edge computing system, which may cause the edge computing system to: input the parameters of the event processing request into the local energy optimization model to identify the energy mix, and process, using the energy mix, the event processing request.

The application provides a multifunctional shelter power supply method and system suitable for field operation. Through the deployment of environmental sensors, external environmental parameters are collected, combined with real-time power consumption data inside the shelter, and an operating condition report is generated. Based on the operating condition report, a differential evolution algorithm is used for multi-objective optimization analysis, a life cycle cost analysis technique is introduced, resource utilization is maximized, and an optimal energy combination is generated. Based on the optimal energy combination, a sliding mode variable structure control algorithm is used to dynamically adjust the working parameters, and through power demand side management technology, an energy conversion and distribution log is generated. Based on the energy conversion and distribution log, the operating state is continuously monitored, normal fault diagnosis is performed, operating data is recorded, and an optimized power supply scheme is generated. The technical scheme provided by the application can improve energy utilization efficiency and system stability, and ensure long-term reliable operation of the power supply system.

Sustainable enterprise-wide energy balancing is presented herein, which describes a series of processes to make choices in favor of a sustainably sourced energy mix, grid reliability, and / or to prioritize critical systems in times of a catastrophe. An example method comprises receiving a group of input data representing a standardized phrase, wherein the group of input data is received from first equipment associated with an electric power generation and transmission operator entity; parsing the standardized phrase to identify an initiating event; in response to identifying the initiating event, determining that an initiating threshold value associated with the initiating event has fallen below a defined risk threshold value; and executing, on remote second equipment, a flow of customer defined processes representing a group of runbooks.

The invention is suitable for the field of communication base station power supply, and provides a communication base station multi-energy complementary power supply method and system, a communication base station direct current busbar is connected with a power transmission line of wind power generation, photovoltaic power generation, a hydrogen fuel cell, an energy storage battery and commercial power through a standardized interconnection interface, and according to a real-time monitoring result and based on a preset scheduling strategy, the communication base station multi-energy complementary power supply is realized. And dynamically controlling at least one of wind power generation, photovoltaic power generation, a hydrogen fuel cell, an energy storage battery and commercial power to output electric energy to the DC busbar so as to match the load power demand of the communication base station. According to the invention, by introducing the standardized interconnection interface, when the base station needs to be expanded, the expansion can be quickly completed only by adding the corresponding standardized module, the universality and expandability of the system are improved, and the preset scheduling strategy is executed through the monitoring module, so that the scheduling efficiency is improved. It is ensured that only the needed energy combination outputs electric energy to the direct-current busbar in a controlled mode under any working condition, and the problem that the busbar voltage is too high due to the fact that multiple voltage steps are arranged is solved.