The invention provides a multi-parameter collaborative optimization battery charging and discharging management system integrated with a thermal management technology, and aims to improve the charging and discharging efficiency and safety of a battery and prolong the service life of the battery. The system monitors key parameters such as the temperature, the voltage, the current and the internal resistance of the battery in real time through a high-precision sensor, and the parameters are comprehensively analyzed through the data fusion technology. A core optimization algorithm adopts a genetic algorithm or deep learning, a charging and discharging strategy is dynamically adjusted, and battery performance maximization is achieved. The thermal management module effectively controls the temperature of the battery through a cooling fin, a liquid cooling system or a phase change material, overheating and supercooling are prevented, and the safety and stability of the battery are improved. The user interface is friendly, the battery state is convenient to monitor and adjust, and the system has wide application prospects in the fields of electric automobiles, renewable energy storage and the like.
The invention discloses a compressed airenergy storagesystem utilizing a wound gas cylinder gas storage array and a control method, the system comprises a compression unit, an expansion unit, a heat exchange unit, a wound gas cylinder gas storage array unit and a control unit of the wound gas cylinder gas storage array unit, and air is compressed and stored in a plurality of high-pressure wound gas cylinders through multi-stage compression and heat energyrecovery. When energy is needed, the expansion machine is driven to release energy for power generation after heat energy compensation. And the gas storage array adopts a multi-layer winding gas cylinder modular structure, and has high pressure, high density, low cost and expandability. The control method covers system initialization and state detection, pressure setting in the sequential gas storage and energy release process, real-time monitoring and abnormal response and a safe shutdown mechanism, and has efficient heat energy management, distributed pressure regulation and dynamic control capabilities. According to the invention, the gas storage cost can be effectively reduced, the flexibility, maintainability and environmental friendliness of the system are improved, and the system is suitable for energy storage and peak regulation application of large-scale renewable energy sources.
The invention relates to the technical field of gravity energy storage multi-machinesystem power distribution, in particular to a multi-machinesystem power distribution method, system and device and a medium. Calculating the total efficiency of each stand-alone system based on an efficiency model; constructing a power distribution optimization model based on the total efficiency of each single-machine system; and distributing the power of each unit according to the power distribution optimization model. The method has the beneficial effects that an intelligent power scheduling strategy can be provided for the renewable energy storage system, the energy loss and the equipment overload risk are reduced, and the peak regulation capability and the economic benefit of the power grid are improved.
The invention discloses a novel ship comprehensive energy system and method integrating organic Rankine cyclewaste heatrecovery, and belongs to the field of ship comprehensive energy design. The system comprises a dual-fuel engine, a dual-fuel generator set, a fuel cell, a waste heat boiler, a shaft-driven motor, a lithium battery, an electric refrigerator, a heat pump, an organic Rankine cycle, carbon capture equipment, a carbon trading mechanism, mechanical, electric, heat and cold load requirements in the ship operation process and other accessories. According to the system, by optimizing an energy structure (such as renewable energy storage) and a carbon capture means, the economical efficiency is improved, the double-control target of carbon emission is achieved, the compliance requirements of international maritime affair environmental protection laws and regulations are effectively supported, and green and sustainable development of ships is assisted.
The present application relates to the technical field of renewable energy storage, in particular to a method for estimating the volume of an underground artificial cavern of a compressed airenergy storagepower station, which comprises: inputting a determined initial volume of the artificial cavern into a pre-constructed energy storage capacity model to obtain a first power generation of an expander in the compressed airenergy storagepower station; if the absolute value of the difference between the first power generation and a preset power generation is less than a preset threshold, taking the initial volume as a target volume of the artificial cavern; otherwise, correcting the initial volume and inputting the corrected initial volume into the energy storage capacity model until the absolute value of the new difference is less than the preset threshold. Thus, the problem that the operation efficiency of the compressed air energy storage power station is affected due to the unsuitable volume of the artificial cavern is solved, and the target volume of the artificial cavern is determined through the energy storage capacity model of the compressed air energy storage power station and the pre-set rated power generation capacity, so as to improve the accuracy of the volume of the artificial cavern and ensure the operation efficiency of the compressed air energy storage power station.
The invention discloses a multi-structure coupled long-period soil heat storage device, and belongs to the technical field of renewable energy storage. The device comprises a cylindrical soil heat storage body, a short-term heat storage water tank, a high-temperature water distribution and collection system and a low-temperature water distribution and collection system. The soil heat storage body is divided into a central area, a middle ring area and a peripheral area in the radial direction, shallow-layer heat storage wells of a U-shaped pipe structure are arranged in the central area and the middle ring area, middle-deep-layer heat storage wells of a coaxial sleeve pipe structure are arranged in the peripheral area, and the layout with the dense inside and the sparse outside is formed. The high-temperature water distribution and collection system preferentially guides a high-temperature working medium into the heat storage wells in the central area and the peripheral area, and the low-temperature water distribution and collection system guides a low-temperature working medium into the heat storage wells in the middle annular area, so that a high-low-high temperature field gradient is actively constructed underground. According to the structure, the heat shielding effect is formed through the peripheral low-temperature area, the top face heat preservation plate is combined, radial and upward heat losses are effectively restrained, and the cross-seasonal heat storage efficiency is remarkably improved.
This invention discloses a high-hydrogen-density liquid organic hydrogen carrier and its applications, belonging to the field of hydrogenenergy storage and utilization technology. The liquid organic hydrogen carrier is a composite system of a functionalized nitrogen-containing heterocyclic compound and a metal-organic framework material supported on a non-precious metal catalyst. The nitrogen-containing heterocyclic framework is connected with electron-donating and electron-withdrawing groups, constructing an intramolecular electron push-pull system. The non-precious metal catalyst is supported inside the pores or on the surface of the metal-organic framework material. Through molecular structure design and catalyst system optimization, this invention achieves a hydrogen storage density of not less than 7.0 wt%, a dehydrogenation onset temperature of not more than 150℃, and a dehydrogenated hydrogen purity of not less than 99.99%, with excellent cycle stability and low catalyst cost. This liquid organic hydrogen carrier can be widely used in renewable energy storage, long-distance hydrogen transportation, vehicle-mounted hydrogen sources, and distributed energy supply systems.
The invention relates to the field of energy storage, in particular to a railway comprehensive energy storagesystem planning regulation and control method and system, and the method comprises the steps: predicting first electric energy characteristic data of all renewable energy storage nodes of a railway network based on weather data along the railway network, and constructing a global energy storage state map; correcting the global energy storage state map based on the second electric energy characteristic data of all hydrogen-electricitycoupling nodes of the railway network; power supply fluctuation characteristics of the traction network are obtained based on trainelectric energy supply data of a track line in the railway network, and the electric energy regulation and control state of the traction network by the renewable energy storage nodes and / or the hydrogen-electricitycoupling nodes is adjusted in combination with the global energy storage state map; on the basis of train running data of the track lines, the operation busy and idle characteristics of the traction network are determined, and electric energy regulation and control between hydrogen-electricitycoupling nodes of different track lines are carried out in combination with the global energy storage state map. Diversity of power supply modes of the high-speed railway is achieved through the energy storage system, and the degree of dependence on power supply of a single power grid is reduced.
To provide a method for alkalizing or re-alkalizing an electrode active material. [Solution] A method for direct or indirect electrochemical alkalization of an alkali metal-deficient electrochemical active material is described. This method includes either an electrolytic step during the alkalization of the alkali metal-deficient electrochemical active material on an electrodecurrent collector (direct), or during the regeneration of the reducing agent used for alkalization of the electrochemical active material (indirect). In another embodiment, the electrochemical cell or battery as defined herein is for use in portable devices such as mobile phones, cameras, tablets or laptops, electric or hybrid vehicles, or renewable energy storage.
A reservoir status data of an energy storage device is received, including a state of charge and a quantity or proportion of charge from renewable energy sources. A load data associated with a load is received. A carbon data associated with energy supplied to a load is received. The reservoir status data, load data, and carbon data are used to determine based at least in part on a carbon goal associated with the energy storage device an amount of energy to be discharged from the energy storage device to service the load. The determined amount of energy is dispatched from the energy storage device to service the load. The reservoir status data of the energy storage device is updated based on the amount of energy discharged from the storage device to service the load and the carbon goal.
The utility model discloses an energy storage battery monitoring device, an energy storage battery and a renewable energy storage system. The energy storage battery monitoring device comprises a data acquisition module, a processing module, a control module, a protection circuit and a storage module, the energy storage battery monitoring device acquires energy storage battery information such as carbon monoxide concentration, temperature, voltage and electrolyte concentration of a battery through a sensor in the data acquisition module, stores the information through the storage module, and processes the battery information through the processing module to obtain a safety strategy. And operation feedback is performed on safety suggestions through the control module and the protection circuit, so that omnibearing monitoring and anomaly detection of the running state of the battery are realized, and reliable guarantee is provided for long-life and high-efficiency application of the battery.
The invention discloses a data center multi-energy flow optimization control method, system, equipment and medium, and belongs to the technical field of power systemenergy storage equipment, and the method comprises the steps: collecting solar energy through a photoelectric thermal integrated module, and converting the solar energy into electric energy and heat energy; the electrolytic hydrogen production module is used for receiving electric energy of the photoelectric-thermal integrated module and converting the electric energy into hydrogen energy to be stored; when the electric energy of the photoelectric-thermal integrated module is insufficient, the fuel cell module consumes the stored hydrogen energy to generate power to supplement the load demand, and meanwhile, waste heat is generated; energy flow and power distribution among the photoelectric-thermal integrated module, the electrolytic hydrogen production module, the fuel cell module and the waste heatrecovery module are controlled through the central control module. The system has the beneficial effects that a complete renewable energy storage and conversion chain is constructed by integrating the photoelectric-thermal integrated module, the electrolytic hydrogen production module and the fuel cell module, and the problem that the photovoltaic power generation volatility is not matched with the stable load requirement of the data center is effectively solved.
The invention discloses a power resource allocation method executed by a power utilization control system based on a block chain, and the method comprises the steps: obtaining a dynamic value of renewable energy storage and related data of user power utilization through a block chain module, and constructing a four-dimensional user power utilization data matrix according to the related data of user power utilization through a NumPy library, dimensionality reductionprocessing is carried out on the basis of the four-dimensional user power consumptiondata matrix, each dimension is visualized, grey correlation analysis is carried out, the first-level correlation degree and the second-level correlation degree of each sub-sequence and the user power consumptionevent data are further divided, the influence of each factor on the user power consumption condition is analyzed, and the user power consumption condition is determined. And performing visual analysis on the plurality of one-dimensional user power consumption data matrixes to obtain a user power consumption behavior analysis result, and allocating the power resources according to the user power consumption behavior analysis result, thereby improving the accuracy and stability of balanced allocation of the power resources.
A reservoir status data of an energy storage device is received, including a state of charge and a quantity or proportion of charge from renewable energy sources. A load data associated with a load is received. A carbon data associated with energy supplied to a load is received. The reservoir status data, load data, and carbon data are used to determine based at least in part on a carbon goal associated with the energy storage device an amount of energy to be discharged from the energy storage device to service the load. The determined amount of energy is dispatched from the energy storage device to service the load. The reservoir status data of the energy storage device is updated based on the amount of energy discharged from the storage device to service the load and the carbon goal.
The invention provides a new energy heavy truck charging device and method for energy storage and peak regulation of road area renewable energy, and the device comprises a power transmission module which is used for providing power for a charging module; the energy storage module is used for storing the surplus power generated by the power transmission module and carrying out staggered power peak regulation; the charging module is used for providing a power battery charging service for the new energy heavy truck; the heat management module is used for dissipating heat for the power transmission module, the energy storage module and the charging module, recovering heat and transmitting the heat to the energy storage module for energy storage; and the device controller is used for receiving signals of the power transmission module, the energy storage module, the charging module and the heat management module and feeding back instructions to control the work of each module, so that the device works normally. According to the invention, the new energy heavy truck charging device meets the charging requirement, the load of the grid power direct supply infrastructure is reduced, the dependence on the grid power and the emission are reduced through the energy storage peak regulation of the road area renewable energy, and the system efficiency is improved.
The invention relates to a renewable energy source energy storage technology, and particularly discloses an underwatercompressed airenergy storagesystemsite selection evaluation method, which comprises the steps of S1, establishing a multi-level dynamic couplingsite selection evaluation framework; s2, carrying out candidate region preliminary screening and data acquisition quantification, obtaining candidate regions, and establishing an evaluation matrix for indexes of the candidate regions to obtain a standardized evaluation matrix; s3, performing dynamic simulation and trend analysis; obtaining an offshore wind power-UWCAES couplingefficiency factor of each point in the candidate area; and S4, an entropy weight method is adopted to automatically distribute objective weights of the indexes according to the data dispersion degree, then the importance order of the indexes of all levels is calculated according to an improved fuzzy analytic hierarchy process, subjective weights are obtained, finally, comprehensive weights are calculated according to a dynamic weight distribution rule, and all site selection schemes are scored. The method has the advantages that the comprehensive evaluation of dimensions and the dynamic evaluation of time scales are realized, and the evaluation result is more scientific, foresight and high in decision support value.