7220results about "Electrolysis components" patented technology

The invention discloses an operation state monitoring method and system for AEM water electrolysis hydrogen production equipment, particularly relates to the technical field of electrolytic bath operation monitoring control, and aims to solve the problem of efficiency nonlinear fluctuation caused by polarization mode alternating dominance and microstructure degradation under a low current density working condition in the prior art. Extracting polarization fluctuation characteristics by generating a dynamic response sequence and calculating a dynamic coupling degree to identify a polarization alternating dominant mode; analyzing a local blocking probability based on frequency characteristics, positioning an active site sparse region in combination with temperature gradient spatial distribution characteristics, and generating an efficiency fluctuation evaluation coefficient; an active site sparse region and a dynamic compensation factor matrix of a cathode flow field pressure gradient are constructed to cooperatively adjust an anode current density distribution weight and a cathode pressure gradient parameter, so that an adjusting variable is accurately matched with a local blocking probability and a dynamic coupling degree; the multi-scale correlation analysis of the microcosmic degradation state and the macroscopic efficiency fluctuation of the electrolytic cell is realized, and the operation stability under the low current density is remarkably improved.

The invention discloses a one-key starting system and method for an alkaline water electrolysis hydrogen production device, the system comprises a control system and a one-key starting control unit, and the control system is connected with the one-key starting control unit; the one-key start control unit comprises a standby panel soft button, a start panel soft button, a make-up pump selection soft button and a drainage panel soft button; therefore, the whole starting process of the alkaline water electrolysis hydrogen production device is subjected to sequential control integration, a safe and efficient one-key starting scheme with high automation degree is formed, safety risks in the manual starting process are avoided, manpower is saved, the labor cost is reduced, meanwhile, the starting time is shortened, unnecessary energy waste in the starting process is reduced, and the starting efficiency is improved. Therefore, the problems that the starting speed of the cluster electrolytic cell is low and the starting operation difficulty of the cluster electrolytic cell is high due to human factors in a large-scale electrolytic hydrogen production project are solved.

The invention provides a water electrolysis hydrogen production monitoring and control method with dynamic fluctuation adaptability, and relates to the technical field of hydrogen production. Comprising the steps that a multi-dimensional operation parameter set of an electrolytic cell is collected in real time through a multi-source sensor array, an electrolysis process prediction model is established based on the LSTM and the CNN neural network, and therefore the prediction result of the electrolysis state is determined. And according to the prediction result, a dynamic parameter adjustment matrix is constructed, and the electrolytic current density, the electrolyte concentration and other key parameters of the electrolytic cell are adjusted for the first time through fuzzy PID control. After adjustment, the multi-dimensional operation parameter set is updated, the health degree index of the electrolytic cell is calculated, and the relation between the index and a preset health index threshold value is monitored in real time. And second-time adjustment is carried out according to the monitoring result, so that safe and efficient operation of the electrolytic cell under the dynamic fluctuation condition is ensured. The problems that in the prior art, an electrolytic cell is slow in response to load change, insufficient in monitoring capacity, dependent on manual maintenance and the like are effectively solved.

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 temperature control, in particular to a temperature control management method and system for an electrolytic water tank and a medium. The method comprises the following steps: performing micro-channel structure processing on a main body shell of the electrolytic water tank, and embedding a modular micro-channel cooling plate to obtain geometric parameters of a cooling channel; identifying a key thermosensitive area of the electrolytic water tank; deploying a flexible micro temperature sensor array in the key thermosensitive area, and constructing a multi-point temperature monitoring network; collecting data in real time based on a multi-point temperature monitoring network to obtain real-time temperature data; and designing a micro-channel cooling liquid flow path based on cooling channel geometric parameter topological optimization to obtain a cooling liquid flow field structure. By integrating the micro-channel cooling structure and the high-density temperature monitoring network, efficient heat exchange and dynamic intelligent regulation and control of the electrolytic water tank cooling system are achieved, and the heat stability, safety and energy utilization efficiency are remarkably improved.

The invention discloses a Coanda effect-based sand-proof and dust-proof device for an electrolytic bath, which is characterized in that a surrounding dust cover structure which is in flexible contact with the electrolytic bath or keeps a non-contact gap with the electrolytic bath is formed at the periphery of a full-load-bearing movable bracket, and the dust cover structure forms a semi-closed protection structure between a foundation and the electrolytic bath; dustproof cover structures composed of fences are arranged on the two sides of a foundation with profile steel as the foundation, each dustproof cover structure at least comprises a vertical fence wall arranged on the side portion of the full-bearing type movable bracket, the bottom of each vertical fence wall is connected with the foundation, and the top of each vertical fence wall makes flexible contact with the electrolytic cell or forms a non-contact gap with the electrolytic cell. A continuous variable-curvature Coanda curved surface is adopted, the airflow speed is increased through the wall attachment effect, a laminar flow air curtain is formed, and curvature-flow velocity coupling optimization is formed. Compressed air is injected through the narrow slit nozzle, ambient air is pried to form a large-flow air curtain, the actually measured air curtain coverage area is 3.2 times that of a traditional flow guide plate, and the unit energy consumption is reduced by 57%.

The invention relates to an electrode preparation method, an electrode prepared by the method, an energy storage device comprising the electrode and an electrode production system for carrying out the method. The preparation method comprises the following steps: (a) providing a self-supporting electrode film which comprises a first side and a second side opposite to the first side, and the second side comprises a to-be-deposited area on which metal is deposited when the self-supporting electrode film is in contact with an electrolyte for an electrodeposition reaction; (b) providing an electrolyte containing a salt of a metal to be deposited; and (c) contacting at least the region to be deposited of the second side of the self-supporting electrode film with the electrolyte, and performing an electrodeposition reaction in the region to be deposited, thereby depositing a current collector of the metal to be deposited on the second side, where the electrodeposition temperature is 0 to 70 DEG C. According to the electrode prepared by the method disclosed by the invention, the active substance in the electrode has excellent first discharge specific capacity, first coulombic efficiency and cycle performance.

The invention discloses a water electrolysis hydrogen production intelligent control system and method based on artificial intelligence. The system and method are suitable for a large-scale water electrolysis hydrogen production scene under the power supply condition of fluctuating renewable energy sources such as wind power and photovoltaic. The system comprises a data acquisition layer, an edge calculation layer, an intelligent control layer and an execution layer. Dynamic modeling of the running state of the hydrogen production system is achieved through multi-parameter real-time monitoring and feature extraction. The intelligent control layer fuses an LSTM prediction module and a reinforcement learning controller, the LSTM prediction module is used for predicting future renewable energy input and hydrogen demand trends, and the reinforcement learning controller calculates an optimal current density set value based on a prediction result so as to maximize hydrogen production efficiency per unit energy consumption. And meanwhile, a digital twinning technology and a safety protection mechanism are combined, thermoelectric dual regulation and control of the electrolysis process are achieved, and the control response speed and the system stability are improved. According to the invention, energy consumption can be effectively reduced, the service life of the stack is prolonged, and the operation efficiency and reliability of the hydrogen production system under complex load are 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 discloses a production method and a production device of an energy-saving sustainable aviation fuel, and the production method comprises the following steps: S1, adsorbing carbon dioxide in air by using an adsorbent, desorbing through high-temperature carrier gas, and cooling and compressing the desorbed carbon dioxide; s2, carbon dioxide and deionized water are preheated and then electrolyzed, and synthesis gas and oxygen are generated; s3, after the synthesis gas is compressed, performing Fischer-Tropsch reaction to generate a mixture of Fischer-Tropsch oil wax, light hydrocarbon and water, cooling and separating, and returning the Fischer-Tropsch reaction heat to preheat the synthesis gas; s4, pressurizing the Fischer-Tropsch oil wax, mixing the Fischer-Tropsch oil wax with hydrogen, carrying out hydrofining reaction to generate a gas-liquid isomerous oil-gas mixture, cooling and separating, and recycling heat energy of a product to And S5, after gas-liquid separation, preheating a liquid phase, carrying out rectification operation, separating and cooling to obtain a sustainable aviation fuel product. By recovering the heat in each link, the heat is efficiently utilized, and the energy-saving performance of production is improved.

A method and apparatus for the electrochemical polishing of metallic workpieces are proposed, wherein an electrolyte medium containing solid granular particles and a liquid electrolyte is placed in a container and conductively connected to a first electrode, wherein the metallic workpiece is conductively connected to a second electrode and immersed in the electrolyte medium in the container, wherein the electrodes are subjected to an electrical voltage such that the first electrode in contact with the electrolyte medium has a negative voltage and the second electrode in contact with the workpiece has a positive voltage, and wherein the workpiece is moved relative to the majority of solid granular particles of the electrolyte medium in order to polish it electrochemically.The invention provides that the polarity of the electrical voltage applied to the electrodes is temporarily reversed at least once, in particular periodically, during the electrochemical polishing of the workpiece, so that the first electrode in contact with the electrolyte medium temporarily has a positive voltage and the second electrode in contact with the workpiece temporarily has a negative voltage.

An atmospheric CO2 capture system includes a compartment housing a solid CO2 sorbent, an exchange fluid including a chemical component with selectivity towards CO2, and an electrochemical cell or mineralization reactor in fluid communication with the compartment, the system having a cycle including a first state of sorbing CO2 from incoming air onto the solid CO2 sorbent until a saturation point is reached; a second state of regenerating the sorbent by flooding the compartment with the exchange fluid to detach CO2 from the saturated sorbent and bind the detached CO2 to the chemical component; and a third state of regenerating the chemical component and utilizing the CO2 in the electrochemical cell or mineralization reactor.

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 present invention relates to a system, apparatus, and method for the dual-purpose functionality of capturing carbon dioxide (CO2) from atmospheric and flue gas sources and concurrently generating electrical energy. More specifically, this patent application focuses exclusively on the non-ionized hydrogen gas turbine variant of the apparatuses and methods for capturing carbon dioxide and electrical energy generating system invention. The invention embodies an integrated system designed for the efficient capture of CO2 and simultaneous production of clean electricity. To simultaneously generate electric power at maximum efficiency and capture carbon dioxide, the present invention comprises different integrated processes, integrated systems, and techniques. The present system comprises; a non-ionized hydrogen gas turbine system unit, a carbon dioxide capturing system unit, a hybrid solar Hydrogen-Oxygen gas generator system system unit and waste heat recovery system unit. Moreover, the system comprises waste-heat-based carbon dioxide absorption and waste-heat-based regeneration sub-units to power carbon dioxide capturing parts by waste heat. All the systems of units are developed, integrated, hybrid, and co-functionally working to simultaneously enhance both CO2 capture efficiency and electricity generation. Through these integrated processes, systems, and techniques, the invention aims to generate and maximize clean electrical power output while effectively capture CO2 and reducing CO2 emission impacts on the environment with a dual solution approach. The invention further includes various alternative embodiments, and invention versions for versatile application in CO2 capture and energy production fields.

The invention discloses a wind and light off-grid hydrogen production two-stage power optimization method considering reserved energy of energy storage, and belongs to the technical field of wind and light off-grid hydrogen production system power optimization, and the technical scheme is that the method comprises the following steps: S1, establishing a wind and light off-grid hydrogen production system mathematical model; s2, inputting minute-level wind and light historical data; s3, formulating a power distribution rule considering deep coupling of an electrolytic bath operation condition and energy storage preparation energy in a first operation stage, and determining hydrogen production power and hybrid energy storage initial distribution power; and S4, in the second operation stage, with the minimum unit hydrogen production cost and the minimum average charge and discharge depth of the storage battery as targets, the hybrid energy storage power is optimized by adopting an improved multi-target particle swarm algorithm. The method has the beneficial effects that the hydrogen production stability and the energy storage and power supply capacity can be improved, and the wind and light abandoning rate and the unit hydrogen production cost can be reduced.

The present disclosure provides systems and methods for generating and storing hydrogen and electricity. The systems generally include an electrolyzer stack, a fuel cell stack operably connected to the electrolyzer stack, and a hydrogen recirculation stack operably connected to the electrolyzer stack and to the fuel cell stack.

An integrated energy system comprising a power plant including at least one nuclear reactor and electrical power generation system, the at least one nuclear reactor being configured to generate steam, and the electrical power generation system being configured to generate electricity, a desalination system configured to receive at least a portion of the electricity and steam to produce brine, an electrolysis process configured to process the brine into Sodium Hydroxide (NaOH), a Sodium Formate (HCOONa) production process configured to receive the Sodium Hydroxide (NaOH) to produce Sodium Formate (HCOONa), a Hydrogen (H2) extraction reactor configured to receive the Sodium Formate (HCOONa) and produce Hydrogen (H2), and a fuel cell configured to receive the Hydrogen (H2).

The invention relates to the technical field of hydrogen production, in particular to an electrolyte flow accurate regulation and control system and method based on a variable-frequency circulating pump. Comprising a frequency conversion circulating pump set with a dual-redundancy structure, and a main pump and a standby pump of the frequency conversion circulating pump set adopt coaxial linkage design and form a bidirectional pressure balance loop with an electrolyte circulating pipeline; the multi-parameter fusion detection module is integrated with a high-frequency sampling flowmeter, an anion concentration sensor with a temperature compensation function and a three-channel pressure transmitter, and signals of all the sensors are subjected to time synchronization processing to generate a joint detection data packet; the dynamic compensation controller is internally provided with an anion migration characteristic database and an electrolyte rheology model, and generates a control instruction with an advanced compensation function according to the real-time anion concentration variable quantity; the multi-physical-field parameter change of the electrolyte can be sensed in real time, the control instruction is dynamically corrected, and the anti-interference capability is high.

A simulation system and method for hydrogen production by water electrolysis. The simulation system for hydrogen production by water electrolysis includes: a first simulation unit used for simulating a hydrogen production power system to obtain hydrogen production electrical parameters; a controller unit used for outputting a control instruction to control hydrogen production process parameters in a hydrogen production chemical system; a second simulation unit used for simulating the hydrogen production chemical system according to the hydrogen production electrical parameters and the control instruction so as to obtain a hydrogen production result; and a data interaction unit, the first simulation unit, the controller unit, and the second simulation unit being capable of performing data interaction by means of the data interaction unit. Joint simulation of complete chemical and electrical processes for hydrogen production by water electrolysis can be realized.

A non-intrusive sensing system for monitoring an electrochemical device and a method of operating the non-intrusive sensing system can include multi-static ultrasonic sensors for detecting data indicative of a property of electrolytic media in an electrochemical device, an acoustic sensor for detecting and measuring a signature of electrodes associated with a health condition of the electrochemical device. A temperature sensor can be used to detect surface temperature data and correlate the surface temperature data with the signature identified and extracted by the acoustic sensor and the data indicative of the property of the electrolytic media. The data detected by the multi-static ultrasonic sensors, the signature detected by the acoustic sensor, and the surface temperature data identified can be subject to feature extraction and processing by a detection and prediction model to produce information pertaining to the safety, reliability and operating efficiency of the electrochemical device.

The invention discloses a process for synthesizing ammonia by coupling low-temperature plasma with electro-catalysis in the field of clean energy and green chemical industry, which comprises the following specific steps: mixing air and water vapor, feeding the mixture into a dielectric barrier discharge reactor, filling the reactor with a multi-stage heterojunction gradient doped carbon coated catalyst, generating active gas containing NOx under pulse high voltage, and condensing and then entering an electrocatalytic reduction unit. And an electro-catalysis product enters a photo-thermal separation module integrated with a Janus type photo-thermal electrode, the temperature of the electrode is locally increased under visible light irradiation, NH3 desorption is promoted, and finally high-purity ammonia is obtained through polyimide membrane separation. The multistage heterojunction gradient-doped carbon-coated catalyst adopted in the process is prepared through multiple steps and contains gradient-doped boron, sulfur and Au nanoparticles on the surface, NOx adsorption, electron transport and sintering resistance are synergistically improved, and efficient ammonia synthesis under mild conditions is achieved.

The invention discloses an optimized operation method of a grid-connected wind power hydrogen production system considering operation characteristics of an electrolytic cell. Firstly, whether a wind power plant meets grid-connected fluctuation requirements is obtained and judged; extracting a wind power output power grid-connected component and a fluctuation component from the original wind power which does not meet the requirement by adopting a wavelet packet decomposition method; an electrolytic cell array and other flexible resources are introduced to stabilize wind power fluctuation, and a PEMEL electrolytic cell start-stop operation strategy is formulated; and finally, constructing an operation constraint model of the wind power hydrogen production system, and realizing optimized operation of the wind power hydrogen production system based on the formulated electrolytic cell start-stop operation strategy. Based on the energy efficiency characteristics of the electrolytic cell, the method can effectively improve the hydrogen production efficiency of the electrolytic cell, thereby improving the overall benefit of the system. The adopted electrolytic cell starting and stopping strategy can be suitable for electrolytic cell array hydrogen production in multiple scenes, and under the condition that the requirement for stabilizing wind power fluctuation is met, the system operation hydrogen production income and the system overall hydrogen production efficiency serve as evaluation indexes of strategy effectiveness.

The invention relates to an electrolytic hydrogen production and fuel cell waste heat gradient utilization system and method based on an organic Rankine cycle, and belongs to the field of new energy. The system comprises a wind power generation unit, a photovoltaic power generation unit, a storage battery energy storage system, an electrolytic hydrogen production device, a hydrogen storage system, a fuel cell power generation unit, a waste heat utilization unit and an organic Rankine cycle device, and can be used for realizing multi-element consumption and gradient utilization of renewable energy sources. The method specifically comprises the following steps: establishing equipment models in a system, wherein an electrolytic bath considers five states of shutdown, cold start, standby, hot start and standby; on the basis of a mixed integer linear programming method, operation constraints of all equipment, renewable energy output prediction and electricity, heat and hydrogen load requirements are integrated, an optimization scheduling model meeting the electricity, heat and hydrogen load requirements and economical efficiency of the system is constructed, output of all the equipment is coordinated, and finally the optimization targets of maximizing the economical efficiency of the system and meeting the electricity, heat and hydrogen load requirements of the system are achieved.

The invention provides an impurity removal and recovery method of electrodeposited nickel anolyte, which comprises the following steps: (1) mixing the electrodeposited nickel anolyte with liquid caustic soda, carrying out solid-liquid separation to obtain nickel hydroxide and filtrate, and evaporating the filtrate to obtain sodium sulfate; mixing the electrodeposited nickel anolyte with a nickel source to obtain a mixed solution; (2) mixing the mixed solution with barium salt, and carrying out lead removal treatment; (3) adjusting the pH value of a material obtained after lead removal treatment by using nickel hydroxide to obtain a solution to be subjected to arsenic removal, and mixing the solution to be subjected to arsenic removal with polyferric sulfate for arsenic removal treatment; and (4) a material obtained after arsenic removal treatment is mixed with an oxidizing agent, a solution to be subjected to iron removal is obtained, solid-liquid separation treatment is conducted on the solution to be subjected to iron removal, catholyte with lead, arsenic and iron removed and iron-containing slag are obtained, sodium sulfate is supplemented into the catholyte with lead, arsenic and iron removed, and the catholyte is reused in the nickel electrodeposition process. According to the method, lead, arsenic and iron in the electrodeposited nickel anolyte can be efficiently and rapidly removed and recycled.

The invention belongs to the technical field of green hydrogen preparation, discloses an intelligent monitoring method for hydrogen impurities in oxygen in an electrolytic cell system, and solves the problems of response lag, high false alarm rate, incapability of dynamically adjusting working conditions and lack of prediction capability in the prior art. According to the method, the hydrogen concentration in oxygen and key operation parameters of an electrolytic cell are preprocessed, then multi-dimensional correlation analysis is carried out, a dynamic characteristic matrix is constructed, then a hydrogen concentration prediction model is trained based on the constructed dynamic characteristic matrix, and an SVM classifier is adopted to carry out abnormal mode recognition; in the monitoring process, if the predicted hydrogen concentration exceeds a threshold value or an abnormal mode is recognized, grading response is triggered, operation of the electrolytic cells is controlled by adopting a closed-loop control strategy according to real-time detection values of key operation parameters of the electrolytic cells, and finally transverse data comparison of the multi-electrolytic-cell system is achieved through a cloud collaborative optimization technology. And identifying common problems and providing maintenance suggestions.

The invention discloses an ultraviolet laser enhanced plasma electrolytic polishing method for an aluminum-based silicon carbide composite material, which is characterized in that the conductive performance of a reinforced phase SiC material is locally improved by utilizing the synergistic effect of the local thermal effect and the photoelectric effect of ultraviolet laser, and meanwhile, uniform-speed polishing of a metal aluminum matrix and the reinforced phase SiC material is achieved by virtue of plasma discharge. And the machining efficiency is obviously improved, a machined surface with higher quality compared with traditional machining and single plasma electrolytic polishing is obtained, and further application and popularization of the aluminum-based silicon carbide composite material are facilitated.

The invention relates to the technical field of water electrolysis hydrogen production, and discloses an electrolytic bath outlet temperature control method and system, a medium and a program product, a flow control valve is arranged at an inlet of an electrolytic bath, the electrolyte input flow is converted into a core regulation variable directly influencing the outlet temperature, and active control over the outlet temperature is achieved. Furthermore, the flow control valve is directly connected with the control device, the opening degree signal can be received in real time, the flow can be adjusted, it is ensured that the temperature control instruction can be rapidly converted into the actual flow change, and the response speed to power fluctuation is increased. Furthermore, through a real-time operation state parameter set and a real-time temperature monitoring parameter set, it is ensured that a control signal is generated based on a real working condition, and the temperature control stability under fluctuating power is improved. Furthermore, through the synergistic effect of an electrolyte flow feedforward control signal and an electrolyte flow rear-end control signal, frequent current change caused by wind-solar power fluctuation can be effectively handled, and the fluctuation amplitude of the outlet temperature is reduced.

The invention discloses a water electrolysis hydrogen production electric pile performance evaluation method, and relates to the field of electric pile performance evaluation, and the method comprises the steps: S1, collecting operation parameters through a sensor system, carrying out preprocessing and time sequence alignment, and constructing a real-time data set; s2, according to the real-time data set and historical data, a stack health index is calculated through multi-layer feature hierarchical fusion and a machine learning model; s3, on the basis of the real-time data set, calculating a composite evaluation index parameter containing a safety margin factor and a performance degradation rate; s4, on the basis of the stack health index, analyzing in combination with the composite evaluation index parameters, and determining the stack performance state grade; and S5, extracting a maintenance suggestion in a preset level and maintenance strategy mapping relation based on the pile performance state level, and transmitting the maintenance suggestion to a visual interface for display through the cloud platform. Through multi-layer feature fusion and machine learning, the method achieves the precise evaluation of the health index of the galvanic pile, dynamically monitors the fault early warning, automatically generates an intelligent maintenance strategy, optimizes the performance, and prolongs the service life of equipment.

The invention discloses a life prediction and optimization method for a cooling system of an electrolytic hydrogen production machine based on digital twinning, and the method comprises the steps: configuring a self-adaptive cooling execution mechanism for the electrolytic hydrogen production machine, and arranging a distributed multi-mode sensor array in the cooling system of the electrolytic hydrogen production machine, comprising the following steps: establishing a digital twinborn layer: deploying a three-dimensional thermodynamics-aging coupling model of an edge calculation unit; synchronously operating data in real time through an edge calculation unit, obtaining the service life attenuation characteristics of the electrolytic cell, and calculating through a digital twin model to obtain a service life prediction result; and the execution control layer is a multi-target optimization controller with the minimum life entropy as the target, adopts staged cooling strategy dynamic switching, and controls a self-adaptive cooling execution mechanism to complete optimization. According to the method, dynamic cooling optimization regulation and control are achieved by predicting the service life.

The invention provides a multi-target collaborative optimization scheduling method for a hydrogen-containing comprehensive energy system, and the method comprises the steps: building a hydrogen energy diversified utilization model containing electrolytic hydrogen production, hydrogen-to-methane production, hydrogen-to-electricity conversion, carbon capture, hydrogen storage and thermoelectric hydrogen doping, and fully absorbing surplus wind power new energy; on the basis, economy and low-carbon property are taken into consideration, a hydrogen-containing comprehensive energy system multi-target optimization scheduling model with minimum total operation cost and minimum carbon emission as targets is established, the model is solved in combination with an epsilon-constraint method and a TOPSIS decision-making method, and quantity-quality cooperative operation of the comprehensive energy system is promoted. Under the condition that the hydrogen doping ratio of fuel gas is fixed, the total cost and the carbon emission amount are reduced along with the increase of the hydrogen doping ratio of the CHP unit, and when the hydrogen doping ratio reaches up to 20%, the economic benefit and the environmental benefit of the IES are the best. Compared with a traditional IES optimization scheduling problem, multi-objective optimization can better promote quantity-quality cooperative operation of the IES, the overall performance of the comprehensive energy system is improved, and the method can be widely applied and popularized.