1191 results about "Hydrogen system" patented technology

The invention discloses an acoustic emission intelligent detection method and system for hydrogen-induced damage of a high-pressure hydrogen system, and the method comprises the steps: collecting a system operation signal through an acoustic emission sensor, carrying out the combined preprocessing of variational mode decomposition and adaptive wavelet threshold noise reduction, restraining noise, constructing a lightweight MobileNet-TCN network, carrying out the deep feature extraction, and carrying out the detection of the hydrogen-induced damage of the high-pressure hydrogen system. GRU and a three-dimensional point cloud technology are fused to realize submillimeter-level positioning of an acoustic emission source, a big data damage case library is associated based on an acoustic emission parameter accumulation model, dynamic assessment and early warning of damage risks are realized, multi-physics field monitoring data are combined, damage classification is optimized through a GCNs (Graph Convolutional Networks), and the above processes are systematically integrated. And full-chain intelligent processing from signal acquisition to risk early warning is completed. The scheme has the advantages of strong anti-interference capability, submillimeter positioning precision, high edge end reasoning efficiency, high damage classification accuracy and dynamic early warning capability, and is suitable for safety monitoring of hydrogen energy storage and transportation equipment.

The invention provides a fault diagnosis method and system for a water electrolysis hydrogen production system based on a graph neural network, and belongs to the technical field of water electrolysis hydrogen production, and the method comprises the steps: obtaining key operation parameters of the water electrolysis hydrogen production system; constructing a time-varying dynamic adjacency matrix based on the key operation parameters, wherein the time-varying dynamic adjacency matrix is obtained by weighting and fusing physical topological structure data and multivariate time sequence data through arbitration parameters; inputting the multivariate time sequence data into a time feature extraction module, and extracting time dependent features; inputting the dynamic adjacency matrix into spatial feature extraction module spatial dependency features based on the time dependency features; fusing the time dependency feature and the spatial dependency feature by adopting a time-space gating fusion mechanism to obtain a fused spatial-temporal feature; and a fault classification module is adopted to identify whether the water electrolysis hydrogen production system has a fault and a fault type based on the fusion features. The diagnosis method is high in accuracy and fast in response.

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 invention relates, in general, to systems and methods for generating hydrogen from ammonia on-board vehicles, where the produced hydrogen is used as fuel source for an internal combustion engine. The present invention utilizes an electric catalyst unit operating in series with a plate-type heat exchange catalyst unit. The electric catalyst unit is used to initiate an ammonia cracking process on-board during a cold start or low load operating condition of the internal combustion engine, where the ammonia cracking process occurs in the heat exchange catalyst unit once exhaust gas from the internal combustion engine has been heated to a threshold temperature suitable to perform the ammonia cracking process.

The invention belongs to the technical field of wind and light hydrogen storage resource allocation, and discloses a wind and light hydrogen storage scheduling method based on a sparrow search algorithm and related equipment. The wind-solar hydrogen storage scheduling method based on the sparrow search algorithm comprises the steps of constructing a wind-solar hydrogen storage operation day-ahead profit model according to a scheduling target of a wind-solar hydrogen storage system, obtaining a profit maximization objective function through the wind-solar hydrogen storage operation day-ahead profit model, and solving the profit maximization objective function by adopting the sparrow search algorithm. Obtaining a globally optimal solution, and scheduling the wind and light hydrogen storage system according to the globally optimal solution; the method can overcome the defects that in the prior art, the optimization speed is reduced during optimization scheduling, the randomness of an optimization scheduling result is high, and local optimum is likely to happen.

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 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.

This invention provides a hydrogen-heated solid-state hydrogen storage device and a solid-state hydrogen storage system. The solid-state hydrogen storage device includes a hydrogen inlet, a hydrogen diffusion section, several reaction tubes, a hydrogen collection section, and a hydrogen outlet. The first end of each reaction tube is connected to the hydrogen diffusion section, and the second end of each reaction tube is connected to the hydrogen collection section. A vent pipe is installed inside each reaction tube, and hydrogen storage material is filled between them. The increased volume due to the expansion of the hydrogen storage material can be absorbed by the deformation of the vent pipe. The solid-state hydrogen storage system consists of the aforementioned hydrogen storage device, a heater, a cooler, a circulating fan, and circulating pipelines. In the solid-state hydrogen storage device provided by this invention, hydrogen directly exchanges heat with the hydrogen storage material, improving the mass and heat transfer process and increasing the system's heat exchange efficiency.

The invention belongs to the technical field of hydrogen energy, and particularly relates to a solid hydrogen storage system with two charging and discharging ends and a working method.The solid hydrogen storage system comprises at least two independent solid hydrogen storage units, and each solid hydrogen storage unit independently communicates with an upstream hydrogen supply pipeline through a first valve set and independently communicates with a downstream hydrogen using pipeline through a second valve set; each solid hydrogen storage unit is selectively communicated with the thermal circulation loop or the cold circulation loop through a third valve group; the first valve group, the second valve group and the third valve group are controlled, so that when the upstream hydrogen supply pipeline has a hydrogen supply demand and the downstream hydrogen use pipeline has a hydrogen use demand, the first solid hydrogen storage unit is configured to be in a hydrogen charging mode, and meanwhile, the second solid hydrogen storage unit is configured to be in a hydrogen discharging mode; the solid hydrogen storage unit in the hydrogen charging mode is communicated with the upstream hydrogen supply pipeline and the cold circulation loop for charging hydrogen, and the solid hydrogen storage unit in the hydrogen discharging mode is communicated with the downstream hydrogen supply pipeline and the hot circulation loop for discharging hydrogen.

The invention discloses a test method for multi-parameter synchronous excitation of a water electrolysis hydrogen production system, and belongs to the technical field of water electrolysis hydrogen production, and the test method comprises the following steps: obtaining key operation parameters of the water electrolysis hydrogen production system to construct a dynamic coupling response model, and generating a multi-parameter synchronous excitation signal sequence; the multi-parameter synchronous excitation signal sequence is applied to the water electrolysis hydrogen production system, system response data are synchronously collected, and a system response data set with a time sequence mark is generated; generating an adaptive test path planning instruction based on the system response data set with the time sequence mark and the dynamic coupling response model; and updating the multi-parameter synchronous excitation signal sequence according to the self-adaptive test path planning instruction, and executing an iterative test. According to the method, the dynamic coupling response model is constructed, multi-parameter synchronous excitation is generated and applied, and a closed-loop strategy based on response data adaptive iterative testing is adopted, so that the dynamic characteristics and the performance boundary of the system can be efficiently and accurately identified, and a comprehensive global performance map is constructed.

The invention relates to an electrolytic hydrogen production system operation strategy adjusting method and device, equipment and a storage medium. The method comprises the steps of predicting a node electricity price of a power system based on obtained load prediction data, renewable energy output prediction data, unit operation parameters, power grid topology data and a constructed electricity price prediction model, and obtaining an electricity price prediction result; based on the electricity price prediction result, the obtained hydrogen demand data and operation data of the electrolytic hydrogen production system, the constructed electrolytic hydrogen production system model and a preset electric energy balance constraint condition, a preset optimization objective function is solved with the goal of minimizing the hydrogen production cost, and the optimal hydrogen production cost is obtained. Obtaining a target start-stop plan and a target operation power plan of the electrolytic hydrogen production system, wherein the optimization target function is constructed based on the operation cost of the power system and the operation cost of the electrolytic hydrogen production system; and adjusting the operation strategy of the electrolytic hydrogen production system based on the target start-stop plan and the target operation power plan. The method is beneficial to reducing the consumption of hydrogen production resources.

The invention discloses a capacity configuration method and system for an off-grid wind and light storage combined hydrogen production system, and belongs to the technical field of renewable energy and hydrogen energy utilization. The method comprises the steps that a multi-time-scale coupling mathematical model including a wind power generation system, a photovoltaic power generation system, an energy storage system and an alkaline electrolytic cell is constructed, and a multi-target optimization model is constructed with the minimization of the annual wind and light abandoning rate, the minimization of the leveling hydrogen production cost and the minimization of the cold start proportion of the electrolytic cell as targets; and solving the multi-objective optimization model by adopting a multi-objective marine predator algorithm to obtain a Pareto solution set, determining an objective function entropy weight of the multi-objective optimization model by utilizing an improved entropy weight method, and selecting an optimal compromise solution as a system capacity configuration scheme. According to the method, the problem that the influence of wind and light output multi-time scale coupling, energy storage, dynamic response characteristics of the electrolytic cell and cold start of the electrolytic cell is ignored in the existing technical scheme is solved, and the purposes of efficiently absorbing wind and light resource fluctuation by the off-grid hydrogen production system, enhancing the operation reliability and optimizing the economic performance are achieved.

The invention provides a multi-target random capacity configuration method for a wind-solar complementary multi-tank cooperative hydrogen production system, and relates to the technical field of renewable energy hydrogen production. According to the method, under the uncertain condition, multi-dimensional key system indexes are considered, the single-cell power and number of PEM electrolytic cells and ALK electrolytic cells are finely matched, and a reasonable collaborative operation strategy is designed. On the basis of capacity configuration scheme design and multi-tank collaborative operation strategy optimization of the wind-solar complementary electrolytic hydrogen production system, a multi-target stochastic programming model considering wind-solar fluctuation output is developed, and collaborative optimization of continuous variables of rated capacity and operation power of each device and discrete variables of types, number and start-stop strategies of electrolytic tanks is realized. Aiming at the current situation that the current capacity configuration research mostly stays at the overall capacity ratio level and is lack of discussion on coupling optimization of the capacity, the number and the operation strategy of a single tank, the economic-energy efficiency-hydrogen production triple indexes of the system are effectively improved, and the global optimization of the capacity configuration of the all-off-grid wind-solar electrolytic hydrogen production system is realized.

The invention provides a method, a system and equipment for optimizing and regulating operating parameters of a hydrogen production system and a medium. The method comprises the following steps: acquiring current, operating pressure, temperature and alkali liquor flow of the hydrogen production system under various different working conditions; based on the current, the operation pressure and the temperature under various working conditions, the electrolysis efficiency of the hydrogen production system under the corresponding working conditions is determined; based on the operation pressure and the alkali liquor flow under various working conditions, determining the hydrogen content in oxygen of the hydrogen production system under the corresponding working conditions; and aiming at the temperature and the corresponding current under each working condition, maximizing the electrolytic efficiency as an optimization target, and carrying out constraint optimization on the operating pressure and the alkali liquor flow under the constraint condition that the hydrogen content in oxygen is smaller than or equal to a preset safety threshold value, so as to obtain the target operating pressure and the target alkali liquor flow under the corresponding current and temperature conditions. According to the method, the electrolysis efficiency can be maximized under the condition of ensuring that the hydrogen content in oxygen meets the safety threshold value.

The invention relates to the technical field of new energy system fault diagnosis, in particular to a solar cell coupling hydrogen production system fault diagnosis method based on big data, and the method comprises the steps: collecting photovoltaic, electrolytic cell and control unit multi-source heterogeneous data, and detecting the abnormality through an abnormality detection core model; matching and repairing by combining historical similar sections to obtain operation re-repairing data; a multi-scale expansion convolutional neural network is adopted to extract time sequence fault features, a backbone network is adopted to extract infrared image high-order features, and heterogeneous aggregation features are obtained through fusion of a spiking neuron model and virtual dendritic branches; constructing dynamic graph nodes and attributes according to features and components, and integrating multiple indexes to fit a causal association strength weight; and multi-link diagnosis: obtaining a fault type through a quantum annealing algorithm, positioning a fault through causal discovery and a virtual dry prediction algorithm, integrating and reporting to a server. The method can improve the fault diagnosis accuracy and real-time performance, and is suitable for fault monitoring of the solar hydrogen production system.

The utility model discloses an alkali liquor mixing and conveying integrated device of a seawater hydrogen production system. The alkali liquor mixing and conveying integrated device comprises an alkali liquor metering and supplementing unit, an alkali liquor input temporary storage unit, an alkali liquor mixing unit and an alkali liquor output temporary storage unit which are matched with one another to work, according to the utility model, the alkali liquor metering and supplementing unit, the alkali liquor input temporary storage unit, the alkali liquor mixing unit and the alkali liquor output temporary storage unit are matched to work, so that the mass transfer module in the seawater electrolysis hydrogen production system is connected with an alkali liquor system in the electrolysis module, and the safety of the alkali liquor flowing circularly among the systems is ensured; and the concentration and the flow of the input alkali liquor of each system are accurately controlled, and the long-time and high-efficiency operation of the electrolytic hydrogen production system device is guaranteed.

The invention relates to an energy management method and system for a green electricity hydrogen production and hydrogenation all-in-one machine, and relates to the technical field of hydrogen energy application, the system comprises an upper layer control system and a communication interface module, collaborative optimization scheduling is executed in the day-ahead stage, the rolling stage and the real-time stage; the communication interface module supports IEC104, private UDP and other industrial protocols, and realizes real-time data interaction with a green electricity prediction system and a hydrogen production DCS system. The method comprises the following steps: making an electrolytic cell start-stop and power plan in a day-ahead stage; periodically correcting prediction and demand errors in a rolling stage; the power of the electrolytic cell is dynamically adjusted to fluctuate along with green electricity in the real-time stage. According to the invention, cross-section and multi-time scale coordination control is realized, and the green power consumption rate, the system operation economy and the hydrogen energy supply reliability are improved.

The invention discloses a gas-liquid treatment method and device of an alkaline electrolytic water hydrogen production system, a processor and a medium, and relates to the technical field of electrolytic hydrogen production. The method comprises the following steps: acquiring an actual value of the concentration of dissolved-state oxyhydrogen in the oxyhydrogen catalytic reaction unit through a dissolved-state oxyhydrogen monitor; the concentration of dissolved-state hydrogen and oxygen in the hydrogen and oxygen catalytic reaction unit is predicted, and a predicted value is generated; a preset concentration threshold value is obtained, and a closed-loop regulation and control instruction for the electrolyte circulating pump is generated based on the actual value, the predicted value and the preset concentration threshold value; and controlling the electrolyte circulating pump to execute corresponding control operation based on the closed-loop regulation and control instruction. Dissolved hydrogen and oxygen are treated through the hydrogen and oxygen catalytic reaction unit, an actual value is obtained in real time in combination with the dissolved hydrogen and oxygen monitor, then the electrolyte circulating pump is regulated and controlled according to the actual value, a predicted value and a preset concentration threshold value, potential safety hazards are reduced, meanwhile, working condition fluctuation is adapted, and stable gas-liquid treatment is guaranteed.

The invention discloses a photovoltaic off-grid hydrogen production system operation mode switching instant DC bus voltage stability control method, which comprises the steps of collecting a DC bus voltage signal, and reconstructing a high-dimensional phase space trajectory; calculating real geometric features such as phase space curvature and torsion of the trajectory; searching a historical similar trajectory segment in a historical trajectory database, and generating a final prediction trajectory at a future moment according to a known evolution path of the historical similar trajectory segment; and generating a feedforward control signal according to the deviation between the final prediction track and the reference voltage, and combining the feedforward control signal with traditional feedback control to form a final control instruction. The method does not depend on an accurate system mathematical model, and realizes rapid, smooth and stable control of voltage under mode switching by deeply excavating dynamic geometric information of voltage signals.

The invention relates to the technical field of renewable energy source and process industrial intelligent control, and discloses a full-process optimization method and system for synthesizing ammonia through wind-solar hydrogen production, which can realize full-process collaboration and self-adaption to wind-solar fluctuation, and can guarantee system safety and economy in long-term operation. According to the scheme, the method comprises the steps that running state data of a wind-solar power generation system, a hydrogen production system, a hydrogen storage system and a synthetic ammonia system are collected in real time, and the collected data are preprocessed; establishing a device-level adaptive boundary model, and calculating a dynamic safe operation boundary of the key device; inputting wind-solar power prediction of a future time domain, performing rolling optimization based on the multi-objective optimization model according to constraint conditions, and generating load setting instructions of each system; and executing the load setting instruction, collecting real response data of the system, comparing a deviation between a real response and a predicted response, calculating a multi-dimensional deviation index, and when the deviation exceeds a set threshold value, performing feedback calibration on the equipment-level adaptive boundary model.

The invention relates to the technical field of hydrogen energy storage, in particular to an underground hydrogen storage system, which is characterized in that a hydrogen storage sensing module and a processing module are integrated in the system, a multi-input multi-output monitoring channel is constructed by using array type electrode nodes, and the processing module constructs a dual-drive prediction model through superposition of a physical state space and a neural network to obtain reference hybrid prediction output; generating a virtual sample set by using random sampling to construct a dynamic random tolerance envelope band; and finally, leakage is judged according to the permeability of the envelope band according to the actually measured signal. According to the invention, the problem of high false alarm rate of the system due to the fact that in-pipe nonlinear background triboelectric charge noise covers tiny leakage characteristics under a fluctuating power supply charging working condition is effectively solved; millisecond-level self-adaptive accurate diagnosis of the air tightness of the pipeline in a complex dynamic environment is realized, and the detection capability of weak leakage signals is remarkably improved while electromagnetic interference is filtered out.

The invention discloses an intelligent cooperative control method and system for an extra-heavy hydrogen energy special vehicle, and belongs to the technical field of new energy vehicles. The method comprises the steps of collecting vehicle state data through a sensor network; based on the state data, adopting a model predictive control (MPC) algorithm to solve an optimal torque and distributing the optimal torque to the distributed driving system; according to the part temperature data, a thermal system is regulated and controlled through a thermal management algorithm TMS; and preprocessing the hydrogen system data, inputting the hydrogen system data into the LSTM model, and outputting leakage probability and positioning to execute multi-stage early warning. The system comprises a central controller, a sensor network and a combined driving system. Through multi-core domain control deep fusion of MPC, TMS and LSTM, global optimization collaboration of multiple groups of high-power hydrogen fuel cells, a high-density high-power energy storage battery pack, a liquid hydrogen storage and safety module, multiple groups of axial flux motor driving systems, a sensing network and central control extra-heavy vehicle parts is realized; and the endurance mileage of the vehicle and the intelligent control heavy load performance in a mine field and a special scene are effectively improved.

The utility model relates to a liquid hydrogen storage system which comprises an integrated hydrogen storage device and a hydrogen storage medium, the integrated hydrogen storage device comprises a liquid storage tank for storing a hydrogen storage medium, a gas storage tank for storing hydrogen, a reactor connected with the output ends of the liquid storage tank and the gas storage tank, a condenser connected with the reactor, a gas-liquid separator connected with the output end of the condenser, a gas compressor and a gas buffer tank, and one or more unsaturated aromatic hydrocarbons or heterocyclic unsaturated compounds with a saturated vapor pressure of more than 1 kPa and a temperature of 20 DEG C. The gas-phase storage medium of the liquid hydrogen storage system sequentially passes through the condenser, the gas-liquid separator, the gas compressor and the gas buffer tank, so that a hydrogen pressurizing, cooling and refluxing process is realized, a liquid hydrogen storage material can be effectively recycled, and the purity of hydrogen can be ensured.

The invention relates to a control method and device of a hydrogen production system, the hydrogen production system, a medium and a program product, and the method comprises the steps: determining fluctuation power data of a bus of the hydrogen production system; calculating an electric power deviation value between the fluctuation electric power data and target electric power data, wherein the target electric power data is the electric power data on the bus during normal operation of the hydrogen production system; according to the electric power deviation value and the fluctuation electric power data, the output power of a hydrogen production electrolytic cell in the hydrogen production system is controlled, so that the input power of the hydrogen production electrolytic cell is equal to the output power of the hydrogen production electrolytic cell. Therefore, the output power of the hydrogen production electrolytic cell is adjusted according to the electric power deviation value and the fluctuation electric power data, the output power of the hydrogen production electrolytic cell in the hydrogen production system can be rapidly adjusted, then instantaneous unbalanced power caused by faults in the hydrogen production system can be restrained, the hydrogen production system does not need to be shut down for operation, and the energy consumption is reduced. And the stability and safety of continuous operation of the hydrogen production system can be ensured.

The application discloses a cold plasma microbubble and biomass supercritical water gasification hydrogen production system and method, and belongs to the field of biomass hydrogen production. The system comprises a raw material processing unit, a cold plasma pre-activation unit, a high-pressure subcritical pretreatment unit, a supercritical gasification reaction unit, a gas-liquid separation unit, a hydrogen gas purification unit, a waste heat recovery unit and a circulating water treatment unit. After being pulped, the raw material is modified by the cold plasma pre-activation unit to improve the activity, and then enters the supercritical reactor with a built-in catalytic bed through the high-pressure subcritical pretreatment unit containing plasma microbubble generated active species to complete the gasification. After the product gas-liquid separation, the hydrogen-containing gas is purified to obtain high-purity hydrogen gas, the liquid phase water is purified and reused, the waste heat is recovered to supply system energy consumption, and the circulating water is treated to discharge crystalline salt to prevent salt analysis. The application realizes the deep cooperation of cold plasma and supercritical water gasification, improves the gasification efficiency and hydrogen production selectivity, reduces the energy consumption, tar and carbon deposition, guarantees the stable operation of the system, reduces the comprehensive cost, and is suitable for the industrialization of biomass hydrogen production.

The invention relates to the technical field of off-grid renewable energy hydrogen production, and discloses an off-grid alkaline hydrogen production system and a power adaptive distribution and safety control method thereof, the off-grid alkaline hydrogen production system comprises a renewable energy power supply unit, a parallel electrolytic cell module, a gas-liquid treatment system and a main controller; in the Faraday hydrogen production mode, the bubble volume is compressed by adjusting the operation pressure so as to modulate the impedance characteristic of the electrolytic cell, and the energy efficiency is improved in cooperation with current control; and in the non-Faraday polarization hot standby mode, the voltage of the rectifier cabinet is controlled to be clamped to a non-gassing polarization interval, and liquid level plugging is constructed in the U-shaped communicating pipeline according to the fluid statics principle. The system is further provided with a transient buffering strategy based on the pneumatic capacity, and pressure attenuation is delayed through the gas dead zone volume when power is suddenly reduced. The problems of hydrogen production efficiency optimization, low-power safe hot standby and mechanical protection under wide power fluctuation are effectively solved.

The invention discloses a system and a method for hydrogen production by cascade regulation and control of wastewater, and belongs to the field of electrochemistry, the system comprises a self-driven separator, a wastewater liquid inlet, a self-capture unit, a self-driven liquid upper layer, a self-driven liquid lower layer, an electrolytic bath and a component detector. By utilizing the self-driven liquid and cascade regulation, organic matters in the wastewater are subjected to phase splitting to the upper layer of the self-driven liquid, inorganic matters in the wastewater are subjected to phase splitting to the lower layer, and water molecules in the lower layer solution are migrated to an electrolyte in the self-capture unit, so that the organic matters and the inorganic matters in the wastewater can be completely isolated outside and are prevented from influencing the electrolyte; therefore, high-purity hydrogen can be obtained, and no corrosion or toxicity is caused to an electrolysis system.

The invention relates to a multi-target control method for a fuel cell hydrogen supply system based on switching type model prediction. The method comprises the following steps: S1, constructing a high-order nonlinear model of the fuel cell hydrogen supply system; s2, obtaining a high-load linear sub-model and a low-load linear sub-model; s3, converting the high-load linear sub-model and the low-load linear sub-model into a high-load model prediction controller and a low-load model prediction controller respectively; and S4, acquiring the actual load current of the electric pile, judging the adopted model prediction controller based on a switching strategy judged by a load current threshold, outputting a control variable by the adopted model prediction controller, controlling the fuel cell hydrogen supply system based on the control variable, and repeating the step S4 until the control is finished. Compared with the prior art, the hydrogen supply system has the advantages that the combined precise adjustment of the anode pressure and the hydrogen passing ratio is realized, so that the dynamic response performance of the hydrogen supply system and the overall operation stability of the system are improved, and the like.

The application provides a seawater hydrogen production electrode, which comprises a substrate and a catalytic layer combined on the surface of the substrate, wherein the catalytic layer is obtained through metal corrosion and in-situ deposition reaction of the substrate in a solution containing chloride ions; the application also provides a preparation method and application of the electrode. The catalyst layer of the application forms in chloride ions, forms a reaction equilibrium with chloride ions in seawater, can stably exist in chloride ions, avoids the adverse effects of seawater chlor-oxidation, has high stability in seawater electrolysis hydrogen production, and can simultaneously catalyze hydrogen production and oxygen production reactions and has selectivity. The electrode provided by the application can be applied to an electrolytic hydrogen production system and can directly electrolyze seawater, avoids the limitation of electrolytic hydrogen production application caused by lack of fresh water resources, reduces electrolytic hydrogen production cost, and expands the application range of electrolytic hydrogen production.