5124 results about "Electrolytic cell" patented technology

The invention provides an electrolytic bath three-dimensional temperature field reconstruction method and system based on multi-physics field coupling, and belongs to the technical field of energy equipment thermal management, and the reconstruction method is applied to a reconstruction system comprising an acquisition module, a first processing module, a second processing module, a third processing module, a fourth processing module and a rendering module. The method specifically comprises the following steps: layering a three-dimensional model of the electrolytic cell according to a Z-axis direction, establishing a hierarchical database and setting a reference layer; generating initial temperature field distribution of the reference layer based on an anisotropic radial basis function interpolation algorithm; and establishing an electric-thermal-flow coupling equation, solving according to the hierarchical database, obtaining temperature field distribution of a reference layer, mapping the temperature field distribution to a three-dimensional space, correcting the temperature field distribution by combining interlayer temperature attenuation and a transverse thermal diffusion effect, obtaining target temperature field distribution, and carrying out visualization processing on the target temperature field distribution. Nonlinear temperature distribution of the electrolytic cell can be completely reproduced, and the accuracy of three-dimensional temperature field reconstruction of the electrolytic cell is guaranteed.

The invention relates to a multi-cell control method for hydrogen production alkaline electrolytic cells based on nonlinear model predictive control, which belongs to the technical field of hydrogen production and comprises the following steps of: performing data acquisition on key positions of a hydrogen production alkaline electrolytic cell system in real time; based on the dynamically determined priority of each electrolytic cell, dynamic load distribution of each electrolytic cell is carried out, and a multi-dimensional cooperative regulation strategy is implemented to obtain a hydrogen yield target value of each electrolytic cell; constructing a nonlinear model comprising an electrolytic reaction model, a heat transfer model and an inter-tank coupling model, and performing parameter identification and verification; and designing a nonlinear model predictive control algorithm, performing discretization processing on the nonlinear model, introducing Kalman filtering to process the uncertainty of the model, taking a corresponding hydrogen yield target value reached by each electrolytic cell on the premise of meeting the constraint as a final control target, constructing an optimized target function, and performing solving to obtain an optimal control scheme. Compared with the prior art, the control precision and the system stability can be effectively improved.

The invention relates to the technical field of renewable energy hydrogen production and intelligent control, discloses a multi-target prediction control method and system based on an ALK-PEM hybrid electrolytic cell array, and solves the problems that in the prior art, wind and light power generation fluctuation cannot be deeply adapted, and hydrogen production economy, response speed and long-term reliability of equipment are difficult to consider. According to the scheme, the method comprises the following steps: obtaining wind-solar power generation power prediction data, and operating parameters and health state indexes of each ALK and PEM in a hybrid array to form a time sequence data set; a hybrid array prediction model based on data driving is constructed, a multi-target cost function is constructed by taking maximization of wind and light absorption, stable hydrogen production and minimization of equipment life loss as targets, rolling optimization is performed on the model, and an optimal power set point sequence of each electrolytic cell in a future preset time domain is solved; and in combination with the operating characteristic difference of the ALK and the PEM, a differential control instruction is generated and executed, and meanwhile, dynamic grouping management is performed on the hybrid array according to the wind-solar power prediction data and the health state of the electrolytic cell.

The invention relates to the technical field of industrial process control, and discloses an intelligent optimization control method of an alkaline water hydrogen production system, which comprises the following steps: a controller synchronously acquires real-time voltage, current and temperature data of an electrolytic bath; theoretical reversible voltage is calculated according to a Nernst equation, ohm voltage drop is eliminated, and a bubble additional impedance value representing the bubble coverage degree is analyzed; performing differential processing on the change rate of the bubble additional impedance value to generate a flow feed-forward control instruction, combining a feedback control instruction based on temperature deviation to synthesize a target rotating speed instruction, and driving an alkali liquor circulating pump to adjust the flow speed; according to the method, the bubble impedance observation model is constructed, so that zero-delay sensing and decoupling control over the state of bubbles in the electrolytic cell are achieved, hysteresis of single temperature feedback is eliminated, and the problems of actuator saturation and model aging drifting are solved.

The invention provides an optimization scheduling method and system for power distribution of an electrolytic cell group under a wind power fluctuation condition, and relates to the technical field of wind power grid-connected power generation control, and the method comprises the steps: collecting wind power plant power data and electrolytic cell operation parameters, carrying out the adaptive segmentation processing of the power data, constructing a fluctuation feature space, predicting the fluctuation risk, and carrying out the optimization scheduling of the power distribution of the electrolytic cell group. And an electrolytic cell regulation capability evaluation system is established and dynamically grouped, and a power regulation matrix is constructed to calculate an optimal power distribution proportion, so that coordinated regulation of wind power fluctuation by the electrolytic cell group is realized, and the system operation stability and the energy utilization efficiency are improved.

The invention discloses an adaptive evaluation method for the health degree of an electrolytic cell, and the method comprises the following steps: collecting the multi-dimensional operation parameters of the electrolytic cell in real time, and carrying out the preprocessing of the collected time series data, so as to construct a training sample with a time window; extracting a multi-scale time sequence feature from the training sample to form a feature vector; inputting the feature vector into a weight adjustment network, and outputting a dynamic weight vector; weighting the feature vector by using the dynamic weight vector to generate a weighted feature vector; inputting the weighted feature vector into a performance prediction model, and outputting a short-term performance prediction value of the electrolytic cell at a future moment; after the corresponding real performance value is obtained, calculating a prediction error of the short-term performance prediction value, and constructing a reinforcement learning reward signal based on the prediction error; updating a strategy of the weight adjustment network through a reinforcement learning algorithm by utilizing a reward signal, thereby optimizing dynamic weight vector generation at a subsequent moment; based on the dynamic weight vector and the feature vector at the current moment, a comprehensive health degree index of the electrolytic bath is obtained through calculation; according to the method, main factors influencing the equipment health degree in different stages are intuitively revealed, and a basis is provided for operation and maintenance decision making.

The invention discloses a water electrolysis hydrogen production control method and device based on wind and light power generation and electronic equipment. The method comprises the following steps: acquiring the operation cost, the electrolytic cell efficiency and the power grid interaction power variation of the wind-solar hybrid power generation hydrogen production system in a first sampling interval; constructing a target function based on the operation cost, the electrolytic cell efficiency and the power grid interaction power variation; determining the wind power generation predicted power of a wind power generation system in the wind-solar hybrid power generation hydrogen production system in the prediction time period and the photovoltaic power generation predicted power of a photovoltaic power generation system in the prediction time period according to a second sampling interval; and based on the wind power generation predicted power and the photovoltaic power generation predicted power, determining a water electrolysis hydrogen production control strategy (including an electrolytic cell power instruction value and an energy storage compensation power instruction value) by taking the minimum function value of the target function as a target. According to the invention, the technical problems of unbalanced power supply and demand and unstable power grid interaction in the wind-solar hybrid power generation hydrogen production system in the prior art are solved.

The invention relates to an offshore wind power-energy storage-hydrogen production system cooperative control method and device and a medium, and the method comprises the steps: collecting wind power plant operation data, energy storage system data and hydrogen production system data in real time, and obtaining a state vector; the state vector is input into a strategy network, a current action vector is calculated, the strategy network is obtained through training of a double-evaluator reinforcement learning framework, a first evaluator evaluates an economical efficiency target value function, and a second evaluator evaluates a safety target value function; the strategy network outputs a control instruction corresponding to the current action vector, and issues the control instruction to each execution device for adjustment, including adjusting fan operation parameters according to the axial induction factor and the yaw angle; adjusting the electrolytic cell input power according to the electrolytic load power; and controlling the charging and discharging operation of the energy storage system according to the energy storage power. Compared with the prior art, the method has the advantages of high collaboration, high adaptability, safety and the like.

The present disclosure relates to the technical field of new energy power generation, and provides an operation control method for an electric-hydrogen coupling system, and an electric-hydrogen coupling system. According to the present disclosure, prediction related parameters corresponding to power station power and power station power instruction related parameters are acquired, and in order to achieve optimal economic efficiency while meeting grid power exchange limitation requirements, a power station power adjustment instruction and an electrolytic cell power adjustment instruction corresponding to each moment are acquired.

The invention relates to the technical field of model construction, in particular to a construction method and system of an electrolysis energy consumption model and a storage medium. The method comprises the following steps: collecting electrolysis process parameters by using a multi-mode sensor system, wherein the electrolysis process parameters comprise a current value, a voltage value, an electrolyte temperature and electrolysis time; constructing an electrolysis energy consumption initial model based on the electrolysis process parameters, and inputting the electrolysis process parameters into the electrolysis energy consumption initial model to output a unit product energy consumption value and a current-voltage efficiency curve; electrolytic bubble acoustic monitoring is conducted on the side wall of the electrolytic cell to obtain bubble breakage acoustic wave signals; and analyzing the sound intensity and the rupture frequency of the bubble rupture sound wave signal. According to the method, through the multi-modal sensor, multi-dimensional signal analysis and dynamic parameter correction, the defects of single data and static state of a traditional electrolysis energy consumption model are broken through, and high-precision dynamic modeling and optimization of energy consumption in the electrolysis process are achieved.

The invention discloses a method for preparing antioxidant MXene through electrochemical stripping, and belongs to the technical field of two-dimensional nano materials. Comprising the following steps: (1) centrifuging a Ti < 3 > C < 2 > T < x > MXene dispersion liquid to obtain a MXene wet solid, and coating the MXene wet solid on two sides of a copper foil; (2) the copper foil coated with the MXene wet solid serves as a cathode, and the cathode and the anode are placed in an electrolytic tank together; and (3) applying a constant voltage for electrolysis, collecting sediments in an electrolytic tank, centrifuging, washing, carrying out suction filtration, and drying to obtain the e-MXene film. The e-MXene prepared by the invention has excellent oxidation resistance and adjustable infrared emissivity, and can adapt to infrared camouflage application under damp and hot conditions.

The utility model relates to the technical field of electrolytic cells, and discloses a diaphragm electrolytic cell which comprises four supporting legs, the electrolytic bath main body is fixedly connected to the top ends of the four supporting legs, a cavity is formed in the upper end face of the electrolytic bath main body, a plurality of first inserting grooves are formed in the inner walls of the two opposite sides of the cavity in an array mode, and second inserting grooves are formed in the positions, corresponding to the positions between every two adjacent first inserting grooves, of the inner side of the cavity; due to the inclined design of one end of the clamping block, the installation base can be temporarily contracted inwards in the process of being inserted into the installation groove, when the clamping block contracts inwards, the spring is compressed, at the moment, the clamping block can move to the clamping groove position in the process of being inserted into the installation base, and when the clamping block moves to the clamping groove position, the spring releases compression force. The elastic force of the spring enables the clamping block to be completely clamped into the clamping groove, and the clamping block is clamped into the clamping groove so that the isolation assembly can be limited in the second inserting groove.

The invention discloses an automatic electrochemical experiment platform, and relates to the technical field of electrochemical experiments. The powder cylinder frame is suitable for placing a powder cylinder; the sample bottle box is suitable for placing a sample bottle; a solid sample adding device; the liquid sample adding device is communicated with the liquid reagent bottle; a dissolving assisting device; a sampling device; the micro-channel flowing electrolytic tank is communicated with the sampling device; the electrochemical measuring device is electrically connected with the micro-channel flow electrolytic tank; the mechanical arm is suitable for moving the sample bottle among the sample bottle box, the solid sample adding device, the liquid sample adding device, the dissolving assisting device and the sampling device and is suitable for moving the powder barrel between the powder barrel frame and the solid sample adding device. The automatic electrochemical experiment platform provided by the embodiment of the invention has the advantages of high automation degree, high experiment efficiency, convenience for realizing high-throughput and standardized experiment requirements and the like.

The invention discloses an off-grid new energy hydrogen production start control method, system, device and medium, and relates to the technical field of new energy hydrogen production control and micro-grid operation management, and the method comprises the steps: employing energy storage zero-to-boost control and anti-interference communication to establish a bus voltage based on an off-grid system architecture; the output power of the wind turbine generator is adjusted through a variable pitch power following strategy based on short-term wind speed prediction, the power distribution proportion of the wind turbine generator and the energy storage device is dynamically adjusted by adopting an improved NSGA-II multi-target optimization algorithm in combination with the equipment health state factor, and the power output path and the response rate of the equipment are optimized; electrolytic hydrogen production is carried out by adopting electrolytic tank pre-starting condition inspection, stepped power rising and stepped starting of grid-connected transition in cooperation with closed-loop temperature flow regulation and a PID pressure management strategy, and black-start rollback and self-healing control are executed. According to the method, the stable construction of the bus voltage is realized through the boost control from zero energy storage, and the current impact in the starting process is effectively inhibited.

The invention relates to a preparation method and application of an electrode, in particular to a preparation method and application of an anti-reverse current self-supporting electrode for anion exchange membrane water electrolysis hydrogen production. The self-supporting (NiCoFe) 9S8 electrode is constructed by adopting a directional solid-phase synthesis strategy to overcome the challenge of performance degradation of the electrolytic cell. The preparation method comprises the following steps: firstly, depositing a precursor solution of FeS2 and CoCl2 on a nickel felt substrate, and then carrying out annealing treatment to obtain uniformly grown (NiCoFe) 9S8; the method not only ensures uniform distribution of multiple metal components, but also constructs firm chemical bonding and efficient charge transfer between the catalyst layer and the conductive substrate through solid-phase interface reaction, and effectively avoids interface impedance caused by introduction of an additional binder. Therefore, high-current-density water electrolysis hydrogen production under intermittent fluctuation power supply is realized. In 1M KOH, the cell voltage is almost not attenuated when the electrode stably operates for 2000h at 500mAcm <-2 >.

The invention provides a preparation method of a porous copper foil with a regular polygonal hole array, which comprises the following steps of: grinding and polishing a titanium plate until the titanium plate is matte, punching holes with the regular polygonal hole array in the titanium plate by laser, finely trimming vertex angles of the regular polygonal holes by laser, and polishing and grinding the titanium plate to obtain the porous copper foil with the regular polygonal hole array. The method comprises the following steps: preparing a titanium plate, cleaning with pure water and alcohol to obtain a clean titanium plate, preparing a copper sulfate electrolyte, adding a proper amount of a brightener, a wetting agent and a high resistance agent into the electrolyte, mixing, pouring the mixed solution into an electrolytic bath, putting the clean titanium plate and a carbon plate into the electrolytic bath, and carrying out electrolytic foil generation by taking the titanium plate as a cathode and the carbon plate as an anode; and after foil generation is finished, the copper foil is stripped from the surface of the titanium plate, and the porous copper foil with the regular polygon holes is obtained. According to the method, the holes of the titanium plate are the regular polygon holes, and the vertex angles of the regular polygon holes are finely trimmed, so that the copper foil of the electrolytic raw foil is not easy to adhere to the titanium plate during stripping, and the production yield of the copper foil is further improved.

The invention relates to the technical field of rare earth metal hydrometallurgy, in particular to a rare earth molten salt electrolysis truss type multifunctional metal output system and a control method.The system comprises a main body supporting and moving frame, an integrated function execution module set, a bottom cleaning function module, an electrolytic bath station unit and an intelligent control system; wherein the integrated function execution module group, the bottom cleaning function module, the electrolytic tank station unit and the intelligent control system are respectively arranged in the main body support and motion frame, and the main body support and motion frame is arranged in a gantry truss structure; the four functions of pot lifting, casting, cooling and bottom cleaning in rare earth electrolysis are integrated on the integrated bearing platform of the same gantry truss type rack, and through multi-sensing information fusion and intelligent control, the system can automatically complete the whole process operation of crucible extraction, molten metal casting, cooling forming and electrolytic bath bottom cleaning; and the exposure of workers in high-temperature and high-risk environments is obviously reduced, and the production safety and efficiency are improved.

The invention provides an off-grid synthetic ammonia park electrolytic bath column level-energy storage-hydrogen storage collaborative optimization method based on rolling optimization, and relates to the technical field of energy storage and hydrogen storage collaboration. The method comprises the following steps: constructing an off-grid system architecture comprising wind-solar power generation, a plurality of rows of electrolytic cells, energy and hydrogen storage equipment and a synthesis ammonia device; a multi-device collaborative optimization strategy based on an eight-hour rolling time domain is designed, the system operation state is divided into high, medium and low working conditions through a working condition recognition mechanism, a current device operation scheme is actively adjusted according to wind and light power information of a next scheduling period, and collaborative regulation and control of energy storage and hydrogen storage are achieved. Compared with a traditional scheduling strategy, the collaborative optimization strategy provided by the invention improves the consumption rate of renewable energy sources of the system, reduces abandoned wind and light, improves the yield of synthetic ammonia, and verifies the effectiveness of the strategy.

The invention relates to the technical field of new energy hydrogen production, and discloses a method for measuring and calculating new energy consumption in a hydrogen production process by combining real-time data. The method comprises the steps that hydrogen production system operation parameters and new energy power generation data are obtained, the hydrogen production system operation parameters comprise an electrolytic cell voltage fluctuation curve and a hydrogen purity detection value, and the new energy power generation data comprise a wind power prediction deviation rate and a photovoltaic actual output curve; establishing a new energy consumption evaluation model, performing time sequence alignment on the voltage fluctuation curve of the electrolytic cell and the wind power prediction deviation rate, and generating a dynamic matching degree index set; based on the set, a multi-scale feature extraction network is called to analyze a photovoltaic actual output curve, and a fusion analysis result containing output stability and absorption potential features is obtained; and inputting a result into the absorption amount optimization model for adaptive weight distribution, outputting a new energy absorption amount measurement value containing a time dimension absorption efficiency sequence and a hydrogen production equipment response parameter, and adapting to new energy absorption evaluation and scheduling requirements in hydrogen production.

The invention discloses an off-grid ALK-PEM green energy coupling hydrogen production system parameter configuration method. The method comprises the steps that S1, wind and light fluctuation characteristic parameters are collected; s2, calculating the capacity ratio of the electrolytic cell; s3, performing control parameter mapping; and S4, parameters of the cooling system are designed. The invention further discloses a corresponding configuration system, a configuration device, electronic equipment and a computer readable storage medium, and aims at a parameter collaborative configuration method of an alkaline electrolytic cell (ALK) and proton exchange membrane electrolytic cell (PEM) mixed hydrogen production system in a wind and light off-grid power supply scene, so that the core problems of low hydrogen production efficiency, short equipment service life, system instability and the like under a fluctuating power supply are solved.

The invention relates to the technical field of PEM electrolytic bath assembly, and particularly discloses a fastening device in a PEM electrolytic bath assembly process, which comprises a processing table, two fixing plates are mounted at the top of the processing table, a transverse plate is mounted at the tops of the two fixing plates together, a fastening mechanism is arranged on the transverse plate, and a plurality of placing seats are arranged at the top of the processing table. A spraying mechanism is mounted in the middle of the top of the machining table, four moving plates are slidably mounted at the top of the machining table, and limiting mechanisms used for guiding and limiting related parts of the electrolytic cell are arranged at the tops of the four moving plates correspondingly. According to the invention, when a plurality of connecting screw rods and nuts of the electrolytic cell need to be fastened, the fastening mechanism can replace manual work to automatically fasten the connecting screw rods and the nuts, so that various defects caused by manual fastening are avoided, the pretightening force of each connecting screw rod can be ensured to be consistent, and the assembling efficiency of the electrolytic cell is improved.

The invention provides an alkaline electrolytic cell temperature compound control method and system, a medium and equipment. The method comprises the steps that a full-process dynamic simulation model containing key process equipment meeting preset requirements in an electrolytic hydrogen production system is established; a feed-forward controller with current as input and feed-forward compensation amount as output is obtained through analysis of a full-process dynamic simulation model; based on the feed-forward compensation amount, the temperature of the electrolytic bath is stabilized at a set value under the change of the current I; a feedforward-cascade composite control system is constructed; and closed-loop control over the temperature of the electrolytic cell is completed based on a feedforward-cascade composite control system. According to the method, the feed-forward controller based on full-process dynamic simulation design is combined with cascade control, so that accurate lead compensation of wide-width current fluctuation is realized, the problem of response lag of single cascade control is effectively solved, and the dynamic response speed and the anti-interference capability of electrolytic bath temperature control are remarkably improved.

The invention relates to the technical field of rare earth electrolytic metallurgy, and discloses a praseodymium-neodymium alloy low-temperature electrolysis cell voltage optimization method and system.The method comprises the steps that multi-parameter coupling analysis is conducted on an electrolytic cell low-temperature electrolysis initial parameter set, and key influence factors are obtained; carrying out correlation analysis on the key influence factors by combining fluctuation characteristics of the cell voltage to obtain an influence weight sequence; determining a collaborative adjustment scheme of the polar distance and the current density according to the weight sequence; the cell voltage is synchronously adjusted based on the collaborative adjustment scheme, and accurate control over the two is achieved; the operation parameters of the electrolytic cell are collected and integrated to obtain a feedback parameter set, the feedback parameter set is fed back to a correlation analysis link to optimize the key influence factor identification precision, and finally a cell voltage optimization scheme is obtained. The technology can accurately identify the key influence factors, dynamically adapt to the operation change of the electrolytic cell, improve the stability of the cell voltage, reduce energy consumption and cost, and improve the efficiency of cell voltage optimization. The production efficiency and the product quality are ensured.

The invention discloses an electrolytic aluminum tank temperature prediction model construction method, system, equipment and medium based on federated learning, and belongs to the technical field of electrolytic aluminum tank temperature prediction.The method comprises the steps that production operation parameters are collected in multiple electrolytic aluminum factories respectively, and local sample data sets are constructed; a neural network model used for temperature prediction is constructed and trained locally, and before training, a whale optimization algorithm is adopted to search and determine training control parameters of the neural network model; the neural network model parameters are encrypted and uploaded to a central server; decrypting the uploaded encrypted neural network model parameters, and executing neural network model parameter aggregation to obtain global model parameters; issuing the aggregated global model parameters to a plurality of electrolytic aluminum factories to update a local neural network model; and repeating the operation until the neural network model converges. According to the method, the accuracy and practicability of temperature prediction of the aluminum electrolysis cell are remarkably improved on the premise that industrial data privacy is guaranteed.

The invention relates to a membrane electrode and application thereof in deuterium-enriched water, and belongs to the field of clean energy development and utilization. The membrane electrode comprises a proton exchange membrane, an anode catalyst and a cathode catalyst, the anode catalyst is an iridium / iridium oxide catalyst with a three-dimensional porous network structure, and the cathode catalyst is a platinum-ruthenium alloy catalyst. The preparation method comprises the following steps: coating one side of the N117 proton exchange membrane with the anode catalyst, coating the other side of the N117 proton exchange membrane with the cathode catalyst, and then performing hot pressing to prepare the membrane electrode. The method comprises the following steps: assembling a membrane electrode into an electrolytic cell, and electrolyzing water by using the electrolytic cell to realize deuterium enrichment. The membrane electrode and the electrolytic cell are reasonable in design, the preparation process is simple and controllable, and the obtained product is high in efficiency and long in service life when used for enriching deuterium and facilitates industrial application.

The invention provides a hydrogen production rate-based dynamic adjustment method for an alkaline electrolytic cell, which comprises the following steps of: constructing a function model of electric power and hydrogen production rate of the alkaline electrolytic cell, optimizing the array configuration of the electrolytic cell in combination with historical wind and light data, dividing the operating state of a single electrolytic cell, and dynamically distributing the operating state in a value rotation mode. And the matching between the wind-solar power and the hydrogen production requirement is realized. The method comprises the following specific steps: constructing a power-hydrogen production rate mapping model to predict power consumption demands; determining the capacity of the electrolytic cell array based on the wind-solar power peak; distributing the number of the electrolytic cells in each state through a circular queue rotation strategy; and adjusting the operation power instruction according to the hydrogen production rate working condition. The system does not need an energy storage device, the wind and light fluctuation is absorbed through the self-state combination of the electrolytic cell array, and the problems of high cost, non-uniform equipment loss, high electrolytic cell monomer loss difference and the like caused by energy storage dependence in the traditional technology are solved.

The invention discloses a high-power alternating-current impedance excitation circuit, a control method thereof and an electrolysis test system, and belongs to the technical field of power supplies and power electronics, the circuit is used as an alternating-current power supply in a high-capacity electrolysis test power supply, and the circuit is controlled by a controller to output an alternating-current signal so as to carry out an impedance test on an electrolytic bath. Compared with a full-bridge circuit, the alternating-current impedance excitation circuit adopts the multi-level converter, so that the output current harmonic content is low, the electrolysis efficiency is improved, the equipment loss is reduced, the economical efficiency of an electrolysis system is improved, stable operation of an electrolytic bath is ensured, and electrolysis interruption or faults caused by voltage fluctuation are reduced.

The invention provides a method for recycling valuable substances and cyanide in cyanide-containing wastewater, and belongs to the technical field of cyanide-containing wastewater treatment. The method comprises the following steps: firstly, carrying out replacement reaction on a physicochemical material (reducing substance zinc) and a copper-cyanogen complex in the cyanogen-containing wastewater to displace copper, and filtering to obtain filter residues containing zinc and copper, so as to realize copper recovery; in the replacement reaction, the copper-cyanogen complex in the filtrate is converted into a zinc-cyanogen complex with a lower stability constant, and then the zinc in the filtrate is recycled by diaphragm electrolysis. The method specifically comprises the following steps: dividing an electrolytic cell into a cathode region and an anode region by utilizing a membrane material, and enabling electrode reactions to be independently carried out, so that cyanide is prevented from entering the anode region to generate electrochemical oxidation and the decomposition of the cyanide is inhibited, and the cyanide is recycled in a solution for cyclic utilization; and then an alkali-resistant titanium-based coating electrode is used as an anode plate, a porous material is used as a cathode plate, recovery of zinc on the cathode plate is promoted, and recovery of valuable metal zinc and copper and cyclic utilization of cyanide are achieved.

The invention relates to a hydrogen production PEM electrolytic cell array power distribution method and system. The method comprises the following steps: establishing a photovoltaic power generation power and wind power model; establishing an initial database according to historical and real-time natural condition data; preprocessing the data in the initial database, and dividing the data into a training set, a test set and a verification set in proportion; training a random forest algorithm by using the training set to obtain final prediction power; performing differential accumulation according to the fluctuation change of the final predicted power to calculate a rolling period; defining a control state of the electrolytic cell; calculating the electrolytic cell health degree of each electrolytic cell; establishing a power-health degree adaptability function; solving the adaptability function by using a particle swarm algorithm to obtain a control state and preset power; and in the current rolling period, operating the electrolytic cell system according to the control state and the preset power of each electrolytic cell calculated by the adaptability function in the previous rolling period. The invention optimizes the system efficiency and the life of the PEM electrolytic cell.

The invention discloses an electrothermal hydrogen comprehensive energy multi-target collaborative planning operation method, which comprises the following steps: obtaining a photovoltaic and electrical load typical day by using a contour coefficient method and an ordered clustering algorithm, generating a wind power and thermal load typical day by using an ISODATA algorithm improved by a local density formula, and constructing an electrolytic cell and hydrogen fuel cell equipment refined dynamic efficiency model; the method comprises the following steps: constructing a multi-target collaborative bilevel planning operation model, solving the multi-target collaborative bilevel planning operation model by adopting an NSGA-II algorithm and a Gurobi solver to obtain a target capacity Pareto frontier solution set, selecting an optimal solution by utilizing a TOPSIS method, and outputting a capacity configuration scheme. According to the method, the economical efficiency, the low-carbon property and the hydrogen production reliability of the system are considered, meanwhile, the hydrogen energy utilization rate is increased, more accurate optimal configuration of the capacity of the wind-solar-hydrogen energy equipment is achieved, and reference is provided for actual planning operation.