14627results about "Cells" patented technology

The invention relates to the technical field of hydrogen production, in particular to a micro-grid hydrogen production system based on dynamic optimization control and a multi-mode energy scheduling method. Comprising a renewable energy power generation unit which comprises at least two distributed power supplies with different power generation characteristics; the multi-stage hydrogen production device is configured to receive the electric energy output of the renewable energy power generation unit and perform proton exchange membrane water electrolysis hydrogen production; the hybrid energy storage system comprises a super capacitor bank and a lithium ion battery pack which are connected in parallel to the direct current bus through a bidirectional DC / DC converter; the dynamic optimization controller is internally provided with a multi-time-scale coordination algorithm and is used for acquiring meteorological prediction data, load demand data and an energy storage SOC state in real time; the multi-mode scheduling module comprises three working modes including an island operation mode, a grid-connected operation mode and an emergency standby mode; according to the scheme, hydrogen production economy, equipment durability and power supply reliability can be considered at the same time.

The invention provides a coordination control method for a photovoltaic off-grid hydrogen production system, which comprises the following steps of: acquiring voltage and current time domain signals of a photovoltaic array, constructing an impedance frequency characteristic mapping model through tensor decomposition and a radial basis function network, and calculating converter control parameters; based on converter control parameters and environment data, temperature-sensing-free self-correction photovoltaic characteristic prediction is achieved through electrical parameter indirect temperature estimation, and an MPPT reference track and a power prediction track are generated; multi-time-scale data coordination processing of millisecond-level electrical control, second-level pressure regulation and minute-level temperature optimization is executed, potential conflicts are solved, and an execution instruction set is generated; and generating and issuing a system comprehensive control instruction by adopting a double-layer deep reinforcement learning network. According to the method, the system efficiency and stability are improved, and the performance is excellent especially under the illumination fluctuation working condition.

The invention provides a flexible preparation system and method for sustainable aviation fuel, and the system comprises a green power supply module which is used for outputting fluctuating green electric energy; the process execution device is connected with the green power supply module and comprises five process modules, namely an air carbon capture module, a co-electrolysis module, a Fischer-Tropsch synthesis module, a hydrogen production module and a hydrogenation refining module; the data acquisition module is used for acquiring the temperature, the pressure, the liquid level, the raw material input flow and / or the product output flow of each process module in the process execution device; and the decision control module is used for predicting the future power supply condition of the green electricity based on the historical weather data of the green electricity location, adjusting the distribution of the power in each process module according to the future power supply condition, and adjusting the temperature, pressure and / or raw material input flow in each process module. According to the invention, the cost, the reliability, the operation and maintenance performance, the product quality and the green power utilization rate can be substantially improved at the same time, and the flexible and stable operation of the system under the green power condition is realized.

The invention relates to the technical field of integrated circuit manufacturing, in particular to a precise electroplating control system and method for an electroplated layer of a double-layer circuit board, and the method comprises the steps: building a multi-physical field coupling simulation model, and simulating the internal current density and ion concentration distribution of a via hole; constructing a mapping relation between the current density and the side wall electroplating thickness based on a simulation result, and predicting the electroplating thickness; through thickness prediction feedback, a time sequence adjustable pulse current control strategy is designed, the pulse amplitude, the duty ratio and the on-off period are dynamically adjusted, and current distribution optimization is guided; the state of the electroplating process is sensed in combination with real-time monitoring and analysis of multi-source parameters of electrode potential, conductivity and fluid velocity; and based on the prediction model and the real-time parameters, adjusting the pulse waveform and the time sequence through closed-loop compensation. According to the method, the uniformity and controllability of the thickness of the electroplated layer on the side wall of the via hole can be remarkably improved.

The invention discloses a high aspect ratio micropore pulse abrupt change current copper filling method and system, and belongs to the technical field of printed circuit board manufacturing, and the method comprises the steps: obtaining micropore structure parameters, and generating a gradient pulse abrupt change current waveform; monitoring a deposition thickness parameter of the orifice of the micropore in real time, and when the deposition thickness parameter exceeds a preset thickness threshold value, activating the reverse peak clipping pulse group; generating a resonant composite sound field in the electroplating bath; detecting the concentration distribution of the additive in the micropores in real time, and generating a dynamic adjusting instruction according to the concentration distribution of the additive; the independent injection rate of the accelerator and the inhibitor is controlled according to the dynamic adjusting instruction; and based on the gradient pulse abrupt change current waveform, the resonant type composite sound field and the dynamic adjusting instruction, the copper filling process is executed till the target deposition parameters are achieved. According to the method, a multi-field coupling mechanism of gradient pulse dynamic peak clipping, composite sound field synergistic mass transfer and additive concentration real-time regulation and control is adopted, and defect-free high-reliability copper filling can be achieved.

The invention belongs to the crossing field of artificial intelligence and process control, particularly relates to an intelligent coupling control strategy for chlorine production through seawater electrolysis based on digital twinning, and aims to solve the problems of response lag, weak disturbance suppression and lack of electrode aging early warning in a traditional control method. According to the strategy, a high-fidelity digital twin fusing electrochemistry, fluid and thermodynamics is constructed, characteristics of current, temperature, impedance spectroscopy and the like are collected and fused at high frequency through a multi-source sensor, a state space model driven by a deep recurrent neural network is established, and current efficiency and electrode aging coupling evolution recognition is achieved; when salinization or flow mutation is detected, the twinborn body predicts and dynamically calibrates the current density and the voltage set value in advance, and the safety process window is synchronously scaled. According to the strategy, the chlorine gas yield fluctuation is reduced by 60%, the energy consumption standard deviation is reduced by 45%, the fault early warning is advanced by 2-5 hours, the fault-free operation time of the system is prolonged by 50%, and high-precision, self-adaptive and preventive intelligent control of the electrolysis process is realized.

The invention discloses a photovoltaic hydrogen production power supply topological structure based on MPPT and a control method, and relates to the technical field of renewable energy electrolysis hydrogen production, and the photovoltaic hydrogen production power supply topological structure mainly comprises a photovoltaic power module, a direct current bus, a water electrolysis hydrogen production unit, an energy storage unit and a control unit. The photovoltaic power modules are connected in parallel to the direct current bus through the independent DC / DC converter, and are matched with the automatic identification and scheduling functions of the control unit, the system operation strategy is automatically adjusted when the modules are newly added or faults exit, and plug-and-play, fault isolation and power reconstruction of the photovoltaic power modules can be supported; the duty ratio change step length of the DC / DC converter is limited when the current rapidly fluctuates due to the change of the photovoltaic output power, the current change rate of the electrolytic cell stack is effectively controlled, the service life protection of the electrolytic cell can be considered, the high modular access capability is achieved, multi-source collaborative scheduling is supported, and bus voltage stabilization and system current sharing optimization can be achieved.

The invention relates to the field of information automation management, and particularly discloses a water electrolysis efficiency dynamic scheduling method and system based on reinforcement learning. According to the method, a state space is constructed through multi-parameter dynamic perception, an improved depth deterministic strategy gradient (DDPG) algorithm is used for learning, a strategy is optimized by means of a self-adaptive exploration strategy and a multi-time scale learning mechanism, model migration and rapid starting are achieved, real-time feedback and closed-loop control are constructed, the water electrolysis efficiency is improved, and energy consumption is reduced. The method comprises a reward function and an exploration rate adjustment formula, so that the strategy optimization direction is accurate, and the exploration process is reasonable. The system comprises a data acquisition module, a processing module, a reinforcement learning module, a control execution module and a feedback monitoring module, and all the modules work cooperatively to improve the system performance.

The invention discloses a fuel cell coupled flow battery energy supply system and an operation control method thereof. The energy supply system comprises a basic energy supply unit, an energy storage peak regulation unit, a renewable energy power generation unit, an electrolytic hydrogen production unit, a hydrogen storage unit, a first-stage waste heat recycling unit, a second-stage waste heat recycling unit and a heat storage unit. The basic energy supply unit is used for providing a basic power load of the target building group; the energy storage peak regulation unit is used for providing fluctuation power load of the target building group; the first-stage waste heat recycling unit receives first-stage waste heat generated by power generation of the fuel cell and is used for indoor heating or indoor refrigeration. And the second-stage waste heat recycling unit directly receives the first-stage waste heat or second-stage waste heat from the first-stage waste heat recycling unit and is used for preheating the electrolyzed water and / or the hydrogen storage unit. By arranging the first-stage waste heat recycling unit and the second-stage waste heat recycling unit, waste heat is utilized in a multi-stage mode according to requirements, and the waste heat utilization rate is high.

The embodiment of the invention relates to the technical field of new energy, and provides a multi-physics field coupling optimization method of a co-electrolysis system and a related product, and the method comprises the following steps: obtaining a coupling mathematical model and a fractal porous medium permeability model in the operation process of the co-electrolysis system; based on physical field parameters output by the electrochemical kinetics calculation model, the non-Darcy seepage simulation model and the thermal stress field calculation model, corrected control parameters of the co-electrolysis system are obtained; the optimized permeability is obtained by adjusting fractal parameters of the fractal porous medium permeability model; the optimized permeability is provided for a non-Darcy seepage simulation model to update flow field pressure distribution; based on the physical field parameters updated in real time by the electrochemical kinetics calculation model, the non-Darcy seepage simulation model and the thermal stress field calculation model, performing multi-objective optimization on the coupling mathematical model to obtain an optimized coupling mathematical model. According to the embodiment of the invention, multi-physical field coupling of the co-electrolysis system can be optimized, and the method is suitable for complex working condition regulation.

The invention relates to the technical field of hydrogen production, in particular to an alkali supplementing system linkage control system based on a magnetic turning plate liquid level meter and a fault diagnosis method. Comprising a magnetic turning plate liquid level detection module installed on an alkali liquor storage tank and used for monitoring the liquid level of alkali liquor in real time and outputting a liquid level signal; the multi-mode signal processing unit is connected with the magnetic turning plate liquid level detection module and is used for carrying out feature extraction and noise suppression on the liquid level signal; the dynamic compensation control module is used for receiving the processed liquid level signal and generating a compensation control instruction according to the liquid level change rate and the alkali liquor temperature; the alkali supplementing valve linkage executing mechanism responds to the compensation control instruction and adjusts the flow output of an alkali supplementing pump; the anti-misjudgment core processor is integrated with three-level check logic, comprises time window trend analysis, multi-sensor data fusion and dynamic threshold self-adaptive adjustment, and is used for eliminating misjudgment interference of the liquid level signal; according to the scheme, the problem of signal distortion of an existing magnetic flap liquid level meter in a complex dynamic environment can be fundamentally solved.

The invention relates to the technical field of micro-grid energy optimization, in particular to a distributed federal reinforcement learning-based hydrogen-containing micro-grid energy scheduling method, which comprises the steps of constructing a multi-region hydrogen-containing micro-grid system model, designing a state space, an action space and a reward function of an intelligent agent, constructing an Actor-Critic network and an experience pool, and completing environment initialization. The intelligent agent inputs the operation state of the equipment into the Actor network, updates the state of the equipment according to the output action, verifies the constraint and outputs a reward value; tuples are extracted from the experience pool to update local network parameters, and the exploration rate is updated regularly; when a federation interaction period is reached, exchanging Critic network parameters and updating federation parameters; and when the training round arrives, outputting an equipment operation plan, deploying the model to the local hydrogen-containing micro-grid in the island mode, and outputting an equipment output value. According to the scheme, strategy sharing and learning collaboration are realized through neighborhood collaboration and local communication among the regional intelligent agents, so that dependence on a central node is avoided.

The utility model discloses an electrolytic bath bipolar plate with micropore flow channels and an electrolytic bath, a micropore flow channel network is arranged on the side surface of an anode of a plate body, and the micropore flow channel network comprises a plurality of groups of micropore flow channel units which are arranged at intervals along the width direction of the plate body; each micropore flow channel unit comprises a main flow channel arranged in the length direction of the plate body and a plurality of first-stage branch flow channels arranged in the length direction of the main flow channel at intervals, a plurality of short branch flow channels are arranged on the two sides of each first-stage branch flow channel at intervals, and a jet hole is formed in the top of each short branch flow channel. The jet flow holes are formed in the direction perpendicular to the side surface of the anode, the length of the short branch runner is smaller than that of the first-stage branch runner, and the short branch runner is perpendicular to the first-stage branch runner. And the microporous flow channel network adopts a structure of combining tree fractal and T-shaped nodes, so that the mass transfer uniformity of water flow in the microporous flow channels can be improved, and the water-membrane contact efficiency is improved, thereby ensuring the hydrogen production efficiency of the bipolar plate.

The present application relates to the technical field of catalysts and relates to a non-noble metal cathode hydrogen evolution catalyst for PEM water electrolysis and a use thereof. The present application provides a method for preparing a cathode hydrogen evolution catalyst. A nickel-molybdenum heteropoly acid having a specific structure is generated in situ on the surface of a porous carbon material carrier, and is used as a hydrogen evolution catalyst active component precursor, and an in-situ generated nickel-containing molybdenum sulfide active component is subjected to sulfidation treatment to prepare a non-noble-metal-supported cathode hydrogen evolution catalyst, wherein the in-situ generated nickel-containing molybdenum sulfide active component has a hydrogen adsorption free energy similar to that of Pt and catalytic hydrogen evolution activity, the dispersity is good, and the number of active sites is large, thereby reducing the costs of the catalyst; in addition, during the sulfidation treatment of the nickel-molybdenum heteropoly acid, nitrogen or phosphorus atoms in the carrier can be doped into the lattice of molybdenum disulfide, thereby reducing the hydrogen evolution Gibbs free energy of sulfur atoms on an MoS2 crystal basal surface, and more active sites are formed on a sulfur edge and a molybdenum edge, facilitating a hydrogen evolution reaction.

The invention relates to the technical field of iron wire electrogalvanizing passivation monitoring, and discloses an iron wire electrogalvanizing passivation intelligent monitoring system with self-adaptive coating thickness control, and the system comprises a coating parameter analysis module which can analyze the matching degree of the coating thickness and the passivation effect according to the equipment operation state information, and generates a parameter analysis parameter set; based on the parameter set, the passivation feature extraction module extracts a space feature value and a distribution variable quantity of a passivation film on the surface of the iron wire to generate an optimized parameter set; the thickness correlation modeling module analyzes the correlation between the coating thickness and the passivation characteristics and generates a dynamic regulation and control result; the abnormal intervention adjustment module extracts a real-time feature matching rate and the like to generate an intervention adjustment data set; and the dynamic feedback regulation and control module analyzes the linkage demand and generates a feedback data table. The system can monitor the iron wire electrogalvanizing passivation process in a self-adaptive mode, the coating thickness is accurately regulated and controlled, and the passivation effect stability and the production efficiency are improved.

The invention provides a novel polynorbornene anion exchange ionomer containing a polar functional group as well as a preparation method and application of the novel polynorbornene anion exchange ionomer. The polynorbornene has excellent thermal stability and chemical stability. Meanwhile, the AEI main chain of the polynorbornene has no aryl group, so that the adsorption influence caused by the aryl group is avoided. The synthesized addition polynorbornene AEI in the form of quaternary ammonium salt can be dissolved in a low-boiling-point solvent, and it is ensured that a membrane electrode can be prepared through a solvent casting method. Besides the solubility of the AEI, the addition polynorbornene-based AEI in the form of quaternary ammonium salt is modified by utilizing a thiol-ene click reaction, an anion exchange ionomer containing a polar functional group can be prepared, the interaction between the AEI and an electrolytic catalyst is improved, the reaction is simple and easy to operate, the universality is high, and the method is suitable for industrial production. And the current density in the AEMWE system containing the AEI can be effectively improved.

The invention relates to an iridium dioxide catalyst and a preparation method and application thereof, the iridium dioxide catalyst is a material with a three-dimensional porous structure, and the three-dimensional porous structure comprises mesopores and macropores; the characteristic peak of rutile type iridium dioxide exists in the XRD spectrogram of the iridium dioxide catalyst. When the catalyst disclosed by the invention is used as an anode catalyst in water electrolysis hydrogen production, the loading capacity of the catalyst can be effectively reduced, the dispersity is improved, and meanwhile, the catalyst has better mass transfer effect and conductivity, higher catalytic activity and excellent stability.

The invention discloses an intelligent detection and dynamic supplement regulation and control system for electroplating bath solution components, and belongs to the technical field of electroplating. The system comprises an electroplating bath body, a detection module, a data processing and control module and a regulation and control module. The detection module is used for detecting the metal ion concentration, the pH value, the temperature and the additive concentration of the bath solution on line in real time through a spectrum sensor, an electrochemical sensor and a physical parameter sensor; the data processing and control module adopts a PID and machine learning fused intelligent regulation and control model, predicts the component change trend according to the detection data and the process parameters, and generates a dynamic regulation and control instruction; the regulation and control module quantitatively supplements target components through a high-precision metering pump, and the closed-loop feedback correction module is combined to ensure that the components of the bath solution are stabilized within a preset threshold range. Multi-parameter synchronous detection and accurate regulation and control are achieved, the quality stability of the plating layer is improved, raw material consumption and labor cost are reduced, and the method can be widely applied to industrial scenes such as metal surface treatment.

The invention belongs to the technical field of electroplating process optimization, and particularly discloses a titanium alloy surface electroplating control method which comprises the following steps: dynamically generating a hanger posture configuration scheme based on workpiece three-dimensional contour data acquired in real time; a bubble distribution image and electroplating liquid flow field data are synchronously collected, and a bubble-flow field coupling feature set is generated through multi-modal fusion; performing real-time linkage adjustment on the rotation speed and the swing amplitude of the workpiece according to the coupling feature set; after electroplating is completed, plating thickness, edge integrity and surface defect data are collected, and a multi-source plating data set is formed by combining workpiece position information; historical data and real-time data are integrated to carry out hanger layout adjustment judgment, and hanger spacing dynamic reconstruction optimization is started when adjustment is needed. According to the method, multi-parameter cooperative control and closed-loop quality optimization in the electroplating process are achieved, the uniformity and integrity of a titanium alloy workpiece coating are remarkably improved, and generation of bubble related defects is effectively restrained.

The invention belongs to the technical field of electrochemistry, and discloses a multi-physical field coupling analysis method for a common electrolysis cell stack and a related device thereof, and the method comprises the following steps: fusing a velocity field, a potential field and a temperature field to obtain a physical field tensor; mapping the physical field tensor into an initial state of the Hamiltonian system, and obtaining a physical field state prediction value through prediction of a physical field prediction model; taking the statistical characteristics of the physical field state predicted value as macroscale parameters, and inputting a velocity field and the macroscale parameters in the physical field state predicted value into a graph attention network to obtain mesoscale parameters; carrying out sampling and expected value calculation on mesoscopic bubble transportation data to obtain microscopic scale parameters; and inputting the macroscopic, mesoscopic and microscopic scale parameters, the physical field state predicted values and the corresponding physical field measured values into the correction model to obtain correction values of the multiple physical fields, and correcting the physical field state predicted values through the correction values of the multiple physical fields. According to the invention, the accuracy of multi-physical field state prediction is improved.

To provide: a solid polymer electrolyte membrane for alkaline water electrolysis excellent in omnidirectional large pressure resistance generated on a diaphragm partitioning an anode chamber and a cathode chamber of a water electrolysis apparatus and having a gas blocking property stably suppressing mixing of an oxygen gas and a hydrogen gas; and an alkaline water electrolysis apparatus.SOLUTION: There is provided a solid polymer electrolyte membrane which contains a nonwoven fabric comprising a fluorine-containing polymer having an ion exchange group and a polymer having a hydrogen permeability coefficient within a predetermined range, in which the weight of the fluorine-containing polymer per unit area of the solid polymer electrolyte membrane is within a predetermined range.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of electrocatalyst material preparation, and discloses a long-range disordered localized CoOOH ultrathin nanosheet electrocatalyst as well as a preparation method and application thereof, fluorine-doped cobalt selenide nanobelts prepared by a low-temperature annealing method are used as a base material, and the CoOOH ultrathin nanosheet electrocatalyst is prepared by in-situ reconstruction under an alkaline electrolyzed water anode oxygen evolution reaction condition. In the preparation process of the CoOOH ultrathin nanosheet provided by the invention, lattice cobalt is stabilized in the water electrolysis anode reconstruction process through fluorine ions with strong bonding action with cobalt ions, so that the long-range disordered structure of amorphous CoOOH generated after reconstruction is limited by localization, and the alkaline water electrolysis anode reaction performance is improved. The catalyst has activity and durability obviously superior to those of a commercial ruthenium oxide catalyst in industrial application of anion exchange membrane water electrolysis hydrogen production.

The invention relates to an anion exchange membrane based on isopropyl piperidone and biphenyl and a preparation method of a membrane electrode, the preparation method comprises the following steps: respectively dissolving an aromatic monomer and IPD in a first solvent, and mixing to obtain a mixed solution, the aromatic monomer being BP or TP; dropwise adding an acidic initiator into the mixed solution for reaction at the reaction temperature of-5 DEG C to 0 DEG C to obtain a nitrogen heterocyclic ring polymer intermediate; adding a quaternization reagent into the nitrogen-containing heterocyclic ring polymer intermediate to realize quaternization modification of nitrogen atoms to obtain a quaternization ionomer; and forming a film to obtain the AEM film. The preparation method of the membrane electrode comprises the following steps: respectively forming a cathode catalyst layer and an anode catalyst layer on two opposite sides of an AEM membrane through ultrasonic spraying to obtain the MEA. The AEM membrane and the MEA obtained according to the invention have the characteristics of excellent stability and high water electrolysis performance, can significantly improve the efficiency and durability of AEMWE, and are suitable for the fields of hydrogen production by water electrolysis and the like.

The invention belongs to the technical field of water electrolysis hydrogen production diaphragms, and relates to coating slurry for a composite diaphragm in an alkaline electrolytic cell and a preparation method of the coating slurry. The coating slurry comprises a high-molecular polymer, an inorganic hydrophilic oxide, a polymer electrolyte, a pore-foaming agent and an organic solvent. The high-molecular polymer is polysulfone, and the inorganic hydrophilic oxide is titanium dioxide; and the polymer electrolyte is acacia gum. And the pore-foaming agent is polyvinylpyrrolidone. Titanium dioxide is used as a filler, so that the hydrophilicity of the hydrophobic polysulfone membrane can be improved, and the transfer of hydroxyl ions is facilitated. Hydroxyl, amino and other hydrophilic groups of the acacia gum are migrated to a membrane-water interface, and the groups and a membrane matrix are combined to form a hydrogen bond network, so that the stability and the water adsorption capacity of the membrane are enhanced, and the composite membrane with low surface resistance, smooth surface, compact coating and good mechanical capacity is obtained. The nylon and the acacia gum are adopted, cost is low, and large-scale production is facilitated.

The invention discloses a photovoltaic photo-thermal coupling hydrogen production system control method for a hydrogen-burning heavy truck traffic network. The method comprises the following steps: S01, collecting operation data of a photovoltaic array, an electrolytic cell and a hydrogen storage tank; s02, based on a model prediction control algorithm, establishing a multi-objective optimization model containing an objective function and constraint conditions; s03, merging the sub-objective functions into a comprehensive objective function through a linear weighting method; s04, applying constraint conditions; S05, performing rolling optimization calculation by adopting a model prediction control algorithm; s06, outputting an optimal control variable; s07, adjusting corresponding parameters in the system; s08, monitoring the running state of the system; s09, whether the system meets constraint conditions is judged, according to the control method, through multi-target collaborative optimization and precise constraint control, the performance, efficiency, economical efficiency and safety of the photovoltaic photo-thermal coupling hydrogen production system can be remarkably improved, and clean, efficient and stable hydrogen energy supply is provided for a hydrogen combustion heavy truck traffic network.

The invention relates to the technical field of electric energy storage systems, in particular to an offshore wind-solar hydrogen storage ammonia-alcohol-based constructed network control system and a broadband oscillation prevention and control method. Comprising an offshore hydrogen-ammonia-alcohol base, an offshore wind power base, an offshore photovoltaic base, an inverter station, an offshore wind-light base energy storage power station, a booster station, a network-forming type energy storage phase modulation power station and a broadband oscillation control and prevention device, so that the network-forming type energy storage control research of the offshore wind-light hydrogen-ammonia-alcohol multi-energy complementary base can be carried out under low-short-circuit-ratio access and isolated network operation. Voltage, frequency and short-circuit capacity adjustment and inertia supporting are achieved, oscillation prevention and control can be carried out, and the purposes of power grid supporting optimization adjustment and oscillation treatment are achieved; meanwhile, multi-energy complementation is achieved, the energy utilization rate is increased, hydrogen ammonia alcohol can be prepared through green energy, and carbon emission is reduced. Therefore, the problems of poor frequency stability, weak voltage supporting capability, serious weak power grid oscillation and the like in the prior art are solved.

The invention relates to an electrode and a membrane electrode assembly for a zero-gap electrolyzer, a zero-gap electrolyzer, the use of a metal phthalocyanine, and a method for producing an electrode. An electrode (1, 1a, 1b) for a zero-gap electrolyzer (11) comprises a metal phthalocyanine (4). In this way, a particularly effective and cost-efficient catalyst can be provided.

The invention discloses a pulse electroplating detection method, a pulse electroplating device and equipment, and the method comprises the steps: synchronously collecting transient current density data of a three-pole assembly in a pulse switching time window, and calculating a time derivative of a current density ratio to obtain electrochemical stress gradient data; performing space-time correlation analysis on the stress gradient data of the continuous pulse period, and tracking a spatial propagation trajectory of stress anomaly; a key monitoring area is determined according to the propagation trajectory, and ion migration impedance sensitivity distribution is detected through micro-amplitude current modulation; performing multi-dimensional coupling analysis on the stress gradient, the propagation trajectory and the impedance sensitivity data, and identifying time sequence correlation characteristics of stress evolution and ion anomaly; and performing quantitative evaluation and grade division on the electrochemical state of the avoidance area based on the coupling correlation characteristics. According to the scheme, early recognition and predictive evaluation of the ion migration abnormity of the boundary layer of the avoidance area can be realized in the pulse electroplating process, and the electroplating quality control precision and the process stability are remarkably improved.

The invention discloses a frequency regulation and control method and device for a water electrolysis hydrogen production system based on multi-energy cooperation, and relates to the technical field of automation of water electrolysis hydrogen production systems. The method aims to solve the problems that traditional regulation depends on a fixed threshold value or artificial experience, is difficult to adapt to multi-energy power grid frequency change, lacks system comprehensive monitoring and multi-index collaborative optimization and is difficult to regulate under renewable energy fluctuation. On the basis of multi-source data real-time monitoring and frequency characteristic analysis, the water electrolysis hydrogen production system can dynamically respond to power grid frequency fluctuation, equipment operation parameters are optimized through a self-adaptive regulation and control strategy, the influence of frequency disturbance on the hydrogen production process is effectively restrained, the cooperative compatibility of the water electrolysis hydrogen production system and a power grid is enhanced, and the hydrogen production efficiency is improved. Multi-index evaluation is carried out on the regulation and control strategy by means of a simulation model, so that efficient consumption of renewable energy sources and optimal control of energy consumption cost are realized; in combination with an edge calculation and prediction model, data acquisition frequency dynamic adjustment, abnormity early warning and strategy autonomous optimization are realized.

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.