83 results about "Renewable energy technology" patented technology

The invention relates to the field of ocean renewable energy technology utilization, and provides an oscillating water column type wave energy power generation device based on a superstructure, which comprises an oscillating water column main body, a superstructure assembly, a top shell and a power generation unit, and is characterized in that the interior of the oscillating water column main body is provided with the superstructure assembly formed by a plurality of guide plates which are arranged along the radial direction and extend in a horn shape; the oscillating water column body is internally divided into a plurality of independent oscillating water column cavities with gradually-changed sizes by combining with the partition plate assembly, an air chamber is defined by the top shell and the oscillating water column body, and airflow energy generated by water column oscillation driving is converted into electric energy through the power generation unit. The power generation unit can adopt a plurality of split type air turbines to generate power or a general type air turbine to generate power. The special fluctuation performance of the superstructure is fully exerted, efficient broadband capture and wave absorption are achieved, meanwhile, wave loads are effectively reduced, diversified integration of wave energy power generation devices is developed, sea area resources and operation and maintenance cost are saved, and negative environmental influences are reduced.

The invention relates to the technical field of renewable energy sources, and discloses a renewable energy source-oriented water electrolysis hydrogen production control system and a power distribution method.The system comprises a monitoring unit, a hydrogen pressure monitor, a processing center, an execution terminal and a communication network; renewable energy consumption rate and electrolytic cell power change rate are improved, minute-level fluctuation is adapted, power distribution errors are stably controlled, hydrogen production efficiency loss is avoided, the utilization rate of the electrolytic cell is increased by improving a dynamic priority model, the overall energy efficiency of a cluster is improved, starting and stopping frequency of a basic load group is reduced by a grouping control strategy, and the service life of the electrolytic cell is prolonged. Standby energy consumption is reduced through a sleep wake-up mechanism, the standby power consumption of the system is reduced to rated power, the hydrogen pressure overrun accident rate is reduced through a safety constraint mechanism, and thermal stress damage of the electrolytic cell is reduced and the fault shutdown rate is reduced through temperature deviation protection.

The invention discloses a solar spectrum frequency division combined heat and power generation system and an operation method, and relates to the technical field of renewable energy sources, and the method comprises the following steps: S001, building a coupling analysis baseline among irradiation parameters, heat distribution and optical characteristics, collecting the real-time temperature data and light beam wavefront information of a spectrum frequency divider under the condition of sun illumination, and calculating the real-time temperature data and light beam wavefront information of the spectrum frequency divider; and generating an estimated atlas of refractive index gradient distribution based on a thermally induced refractive index change rule. Through heat, light and force coupling control, accurate prediction, real-time identification and dynamic correction of the thermal lens effect are achieved, a closed-loop feedback mechanism is established, stable alignment of photoelectric and photo-thermal paths is guaranteed, the system energy efficiency and operation reliability are effectively improved, and the problems of deviation, energy efficiency reduction and part damage caused by a thermal lens in the prior art are solved.

The invention relates to the technical field of renewable energy sources, in particular to a capacity configuration optimization method and device for an off-grid wind-solar-storage coupled hydrogen production energy system. The method comprises the following steps: constructing a mathematical model of each subunit of the off-grid wind-solar-storage coupled hydrogen production energy system; establishing an operation strategy of the system; calculating system performance indexes in the scheduling period based on the operation strategy and the mathematical model, wherein the system performance indexes comprise the leveling hydrogen production cost and the power supply missing rate; and constructing an objective function by using a minimum system performance index, and optimizing the capacity configuration of the system by using a third-generation non-dominated sorting genetic algorithm under an operation constraint condition. According to the invention, two performance indexes for evaluating the off-grid renewable energy hydrogen production system are provided, so that the off-grid wind-solar-storage coupled hydrogen production energy system can be comprehensively evaluated from the economic efficiency and technical stability of a project. Meanwhile, the method adopts a third-generation non-dominated sorting genetic algorithm to carry out capacity optimization configuration, so that the problem of insufficient double-target solution is avoided.

The invention discloses a method for improving methane production through low-temperature anaerobic digestion of sewage sludge, and relates to the technical field of solid waste resource utilization and renewable energy sources. The invention aims to solve the problem of low methane yield in the anaerobic digestion process of sewage sludge under a low-temperature condition. The method comprises the following steps: adding an inoculum and a culture medium into a reaction device, and fully stirring and mixing to obtain a mixed matrix; the inoculum is anaerobic digestion sludge, and the culture medium is sewage sludge which is subjected to heat treatment at 90-100 DEG C for 0.5-1 hour; and adding the biochar into the mixed matrix, and carrying out low-temperature anaerobic digestion to complete the improvement of the low-temperature anaerobic digestion methane production of the sewage sludge. The method for improving methane production through low-temperature anaerobic digestion of sewage sludge can be obtained.

The invention relates to the technical field of new energy and renewable energy sources, and discloses a wind-light-hydrogen-ammonia source network load storage integrated park synthetic ammonia flexible control method, which comprises the following steps of: performing multistable load setting optimization by taking the maximum daily net income as a target through wind-light prediction, time-of-use electricity price, hydrogen storage capacity and ammonia market demand; obtaining a plurality of discrete steady-state loads and operation durations thereof; a rare earth doped catalyst and a synthesis tower are adopted for cooperative control, the low-load activity interval is widened, and operation parameters are optimized; executing ultra-short-term, short-term and medium-and-long-term source network load storage cooperative scheduling, and cooperating with security boundary adaptive control; and constructing an electricity-hydrogen-ammonia integrated digital twinborn model, realizing control parameters, and realizing whole-process closed-loop rolling optimization. According to the method, through multi-steady-state load setting optimization, the operation condition of the ammonia synthesis device is dispersed into a plurality of steady-state load grades, the operation duration is reasonably arranged, park source network load storage multi-element collaboration is achieved, and the overall ammonia production cost is reduced.

The invention discloses an array type wave energy flow battery energy storage system and a power prediction method in the technical field of ocean renewable energy sources. The flow battery energy storage system of the array type wave energy comprises a double-ring array ocean wave energy acquisition module, a deep learning prediction module MMD-CNN-BiLSTM-Attention, an all-vanadium flow battery energy storage module and a comprehensive system control module. The four modules realize information interaction and cooperative regulation and control through a high-speed data network. According to the array type flow battery energy storage system for wave energy, the input voltage and power are greatly improved, the energy consumption of power electronic conversion is reduced, the problems of power fluctuation and energy storage regulation and control in wave energy power generation are effectively solved through the energy storage system with accurate prediction and quick response, and obvious technical advantages and application prospects are shown.

The utility model discloses a fuel cell module for demonstration teaching and toys, which belongs to the technical field of fuel cells and comprises an anode end plate and a cathode end plate. A first silica gel sealing ring, a first collector plate, a first sealing ring, a membrane electrode assembly, a second sealing ring, a second collector plate and a second silica gel sealing ring are sequentially arranged between the anode end plate and the cathode end plate, the membrane electrode assembly comprises two gas diffusion layers and a membrane electrode piece, and the membrane electrode piece comprises a frame and a CCM arranged in the middle of the frame. The CCM is arranged between the two gas diffusion layers, the anode end plate and the cathode end plate are fixedly connected through bolts, the fuel cell module is simple in structure, air cooling is used for replacing liquid cooling, the heat dissipation structure is simplified, the product cost is reduced, meanwhile, the detachable modular structure is beneficial to cultivating the operational ability of students, and the practical value of the students is improved. And the interest in the renewable energy technology is improved.

The application discloses an off-grid renewable energy hydrogen storage and target compound synthesis system, method and electronic device, relates to the technical field of renewable energy, and comprises a renewable energy power generation unit, a water electrolysis hydrogen production unit, a fuel cell unit, a hydrogen storage unit, a target compound synthesis unit and a comprehensive energy scheduling unit which are connected with each other. When the corresponding relationship between power generation power and time is less than or equal to the rated power, the fuel cell unit is controlled to be in a starting state, the water electrolysis hydrogen production unit is controlled to produce hydrogen by being turned on, and the target compound synthesis unit is controlled to synthesize target compounds. When the stability of the comprehensive energy scheduling unit does not satisfy a preset stability condition, the fuel cell unit is controlled to be in the starting state, and the corresponding device in the comprehensive energy scheduling unit which does not satisfy the preset stability condition is in a closed state.

The invention relates to the technical field of renewable energy sources, and discloses a wind-light-gas storage system power prediction and dynamic scheduling decision-making system, which comprises a data acquisition module for acquiring wind-light power generation data, meteorological data, energy storage state data and load demand data of a wind-light-gas storage system; the power prediction module is used for outputting a power prediction result through an integrated learning model based on the historical power data, the wind-solar power generation data, the meteorological data and the load demand data; the dynamic scheduling decision module is used for generating a scheduling instruction through a multi-objective optimization model based on the power prediction result, the real-time operation data, the energy storage state data and the load demand data; and the control execution module is used for feeding back and updating the adjusted energy storage state data according to the scheduling instruction. According to the method, the power prediction precision of the wind-light-gas storage system can be improved, the scheduling decision is flexibly optimized, the intermittency and volatility of renewable energy sources are effectively handled, stable power supply is ensured, and efficient operation and cost control of the wind-light-gas storage system are realized.

The invention discloses an oil field sewage pollution control and hydrogen production device and method based on a multi-stage gradient electrolytic cell, and belongs to the technical field of oil field sewage treatment and renewable energy sources. The device comprises a pretreatment unit, a multi-stage gradient electrolytic cell and a gas collection unit which are connected in sequence, wherein the multi-stage gradient electrolytic tank comprises a first-stage electrolytic tank, a second-stage electrolytic tank and a third-stage electrolytic tank which are sequentially connected in series, anodes are a Ti / RuO2 mesh electrode, a Ti / SnO2-Sb2O5 sheet electrode and a Ti / PbO2 columnar electrode in sequence, and cathodes are porous MoS2-Ni composite electrodes; the method specifically comprises the following steps: (1) pretreatment; (2) staged treatment; and (3) discharging the water after reaching the standard, collecting and purifying hydrogen, and feeding into a hydrogen storage tank. Through gradient electrode design, multi-stage partition electrolysis and an efficient cathode hydrogen production process, efficient removal of pollutants and high yield of hydrogen are achieved.

The invention discloses a polar region temperature difference phase change power generation device and method, and belongs to the technical field of renewable energy sources. The device comprises a vertical shaft wind generating set, an energy storage tank, a heat convection circulation pipeline system and a floating body device, the energy storage tank is filled with a low-boiling-point refrigerant medium, and the surface of the heat convection circulation pipeline system is covered with a thermoelectric power generation piece. When temperature difference exists between the environment temperature and the energy storage tank, the high-temperature end medium is vaporized to form pressure difference to drive steam to push the turbine to generate electricity; after acting, the steam is condensed and releases heat at the low-temperature end, and waste heat secondarily generates power through the thermoelectric power generation sheet; by adapting to media with different boiling points, the device can adapt to polar region seasons and day and night temperature difference changes, and continuous and stable power generation is achieved; the device is simple in structure, free of pollution and suitable for polar regions and other large-temperature-difference environments.

The invention discloses a flexible photovoltaic support multi-objective optimization method and device for a mountain environment, and belongs to the technical field of structural engineering and renewable energy sources. A parameterized finite element model of the flexible photovoltaic support is established, and key design variable correlation material libraries such as the main cable sectional area and the stable cable sectional area are dynamically updated; generating dynamic wind load time-history data based on the mountain meteorological data, and applying the dynamic wind load time-history data to the model for time-history analysis after wind tunnel test verification to obtain structural response; performing normalized sensitivity analysis on the response data, and screening out key optimization variables which significantly influence the structural performance and cost; and adopting a genetic algorithm to perform multi-objective optimization search by taking the lowest total material cost as an objective in a solution space meeting the strength constraint, the rigidity constraint and the frequency constraint, outputting an optimal parameter combination, and verifying the safety and the standard conformity of the optimal parameter combination. The design optimization efficiency, the safety reliability and the economical efficiency of the support structure are improved.

The invention relates to the technical field of renewable energy sources, and discloses a biomass catalytic pyrolysis coupling online upgrading liquid fuel preparation reaction device which comprises a base, the upper surface of the base is fixedly connected with a discharging mechanism, the upper surface of the base is provided with a feeding assembly, and the feeding assembly is located at the bottom end of the discharging mechanism; a first pyrolysis mechanism is fixedly connected to the lower surface of the first fixing shell, the bottom end of the first pyrolysis mechanism is fixedly connected to the upper surface of the base, a reaction mechanism is arranged at one end of the connecting pipe, an auxiliary assembly is fixedly connected to the upper surface of the reaction mechanism, and a storage tank is arranged at the bottom end of the reaction mechanism. And a filtering mechanism is mounted in the base. When a material distributing plate of the feeding assembly rotates to a connecting frame, a sliding plate is driven to compress a spring and press an injection pipe button, after the material distributing plate leaves, the spring pushes a component to reset, injection pauses, medium injection is matched with raw material conveying rhythm, and it is ensured that pyrolysis oil gas and media are fully mixed and reacted.

The invention relates to a renewable energy technology, and discloses a green hydrogen system capacity configuration method and device, a platform and a storage medium, and the method comprises the steps: obtaining renewable energy output data, system module parameters and business demand information of a target project; configuring a coupling system model based on the renewable energy output data, the system module parameters and the service demand information; wherein the coupling system model takes electricity-hydrogen power balance as a basic physical constraint, and integrates at least one system operation constraint; in response to at least one optimization target configured by the user based on the business demand information, constructing a combined optimization target function; and solving the coupling system model through a hybrid optimization algorithm to obtain a target capacity configuration scheme which meets basic physical constraints and system operation constraints and enables the combinatorial optimization target function to be optimal. According to the method, global optimization of green hydrogen system capacity configuration and operation simulation data can be realized, and the comprehensive hydrogen production cost can be reduced.

The present disclosure relates to the technical field of renewable energy, and provides a self-networking method for a module controller, and a related apparatus, to improve the self-networking efficiency for the module controller. The method includes: controlling a power converter to search for multiple initial module controllers; determining multiple candidate module controllers from the multiple initial module controllers, where the multiple candidate module controllers are obtained by filtering the multiple initial module controllers based on a communication link quality between the power converter and each of the multiple initial module controllers and a minimum quality requirement threshold; and networking the multiple candidate module controllers to obtain multiple networked module controllers.

This invention belongs to the field of new energy and renewable energy technology, and specifically relates to a hydrogen production method based on electricity price fluctuations and hydrogen storage optimization. The method includes the following steps: constructing a relationship between hydrogen production per unit time and instantaneous total unit hydrogen production cost based on actual production test data of the electrolyzer; establishing a hydrogen production cost and electricity consumption model; determining relevant hydrogen production parameters, including hydrogen production start time, hydrogen storage tank capacity, instantaneous hydrogen delivery volume, and electricity price curves for different time periods; determining the minimum instantaneous unit hydrogen production cost optimization objective function based on the hydrogen production per unit time of water electrolysis; determining the optimization constraints of the objective function; and using a genetic algorithm to determine the operating mode of the electrolyzer's output and the minimum total hydrogen production cost for different time periods. This invention comprehensively considers the electrolyzer's output, electricity consumption cost, and overall hydrogen production cost to determine the optimal operating mode for hydrogen generation, effectively reducing the electricity consumption cost of hydrogen production from water electrolysis and improving the economics of hydrogen energy.

The invention relates to the technical field of intelligent power grids and renewable energy sources, in particular to an intelligent evaluation method and system for distributed photovoltaic resources. Comprising the following steps: S1, on the basis of acquired static topological data and dynamic operation data of a power distribution network, calculating physical absorption capacity of a grid-connected point by coupling thermal stability constraint and voltage stability constraint; s2, in combination with the physical consumption capacity and expected photovoltaic output predicted based on weather forecast data, calculating to obtain a light abandoning risk index; s3, in combination with the light abandoning risk index, the expected photovoltaic output and the predicted market on-grid electricity price, calculating to obtain a total income after risk adjustment; s4, generating a photovoltaic investment value index through normalization processing based on the total income after risk adjustment and a preset reference total income; and S5, according to the photovoltaic investment value index and a preset value grading threshold value, outputting an investment decision support strategy. The method overcomes the defect that in the prior art, static and fixed limit values are adopted for evaluation, so that the evaluation result is disjointed with the actual operation condition of the power grid.

The present disclosure relates to the technical field of renewable energy, and provides a self-networking method for a module controller, and a related apparatus, to improve the self-networking efficiency for the module controller. The method includes: controlling a power converter to search for multiple initial module controllers and obtaining a PLC link quality value between each initial module controller and the power converter, to obtain multiple PLC link quality values; filtering the multiple initial module controllers based on the multiple PLC link quality values and a minimum quality requirement threshold to obtain multiple candidate module controllers; and networking the multiple candidate module controllers to obtain multiple networked module controllers.

The utility model discloses novel photovoltaic power generation equipment, which belongs to the technical field of photovoltaic power generation and is characterized in that the outer end of a support frame is connected with a folding rod through a connecting frame, the rod head of the folding rod is connected with an additionally-mounted photovoltaic panel through a connector, the folding rod extends out of the additionally-mounted photovoltaic panel, and the angle of the additionally-mounted photovoltaic panel is adjusted through the connector. The area of the photovoltaic panel is increased through the additionally-installed photovoltaic panel, and the gravity center of the frame is adjusted through the additionally-installed photovoltaic panel to prevent the frame from overturning. The additionally-installed photovoltaic panel effectively enlarges the area of the whole photovoltaic panel, enhances the solar energy capturing capability, and improves the power generation efficiency. And by adjusting the folding rod and the connector, the gravity center of the frame can be optimized, and the stability and safety of equipment are enhanced. In addition, the additionally-installed photovoltaic panel can be adjusted according to different environments and illumination conditions, so that the optimal illumination effect is achieved, and the power generation efficiency is further improved. The use of the added photovoltaic panel is beneficial to reducing fossil fuel dependence and environmental pollution, and popularizing a clean renewable energy technology.

The invention discloses a distributed energy aggregation state evaluation and optimization control method and system based on a graph neural network, and relates to the technical field of smart power grids and renewable energy sources, and the method comprises the steps: representing a distributed energy aggregation system through a dynamic graph structure; based on the dynamic graph structure, establishing a state evaluation model based on a graph convolutional network, and estimating the operation state of the distributed energy aggregation system to obtain system state information; based on the system state information, constructing a distributed energy intelligent coordination control model, and generating a system optimal control strategy; a control instruction contained in the optimal control strategy is issued to each distributed energy unit; according to the invention, the operation state of the distributed energy system is accurately evaluated, and reliable state information is provided; intelligent coordination control is realized, and real-time decision is made according to changes; data processing and interpretability are enhanced, and operation and maintenance are assisted; and incremental learning online optimization is supported, and it is ensured that the control strategy is always optimal.

The invention discloses an AI-enhanced floating turbine six-degree-of-freedom motion actuation line calculation method, and belongs to the crossing field of computational fluid mechanics and ocean renewable energy technologies. Comprising the following steps: S1, constructing a basic actuating line model, taking a discrete blade as a blade element, and calculating an initial flow field and hydrodynamic parameters; s2, a three-level coordinate transformation system is established, and speed and attack angle correction of six-degree-of-freedom motion is completed; s3, predicting a dynamic lift-drag coefficient based on the time sequence features through a pre-trained deep learning agent model; s4, smoothly mapping the blade element hydrodynamic force into a flow field momentum source item, and solving a transient flow field in combination with CFD; and S5, constructing a'motion-flow field-hydrodynamic force 'iterative closed loop to realize dynamic coupling simulation. According to the method, the advantages of physical modeling and data driving are fused, the dynamic load prediction deviation is reduced, the calculation efficiency is improved compared with that of a full-geometric LES, and the method can be widely applied to optimization design and performance evaluation of the floating water turbine.

The invention discloses a closed refraction-reflection composite high-power eye-shaped solar concentrator, and relates to the technical field of renewable energy sources. Comprising a Fresnel lens and a reflector, the Fresnel lens and the reflector are symmetrically arranged to form an eye socket structure, rectangular frames are clamped to the edges of the Fresnel lens and the reflector, the rectangular frames are connected with movable end plates, rotating shafts are arranged in the movable end plates, and the inner sides of the rotating shafts are connected with tubular light receivers through steel wire corrugated pipes. The outer side of the movable end plate is connected with a fixed support, one side of the fixed support is provided with a motor module, the motor module is electrically connected with the movable end plate, and the motor module is externally connected with a controller; by the adoption of the closed refraction-reflection composite high-power eye-shaped solar concentrator, various influences of solar motion on the reflection concentrator can be avoided, energy loss caused by optical deviation is reduced, more solar energy is effectively collected, and higher photo-thermal conversion efficiency is achieved.

The invention relates to the technical field of new energy and renewable energy sources, and discloses a four-purpose solid waste or biomass reactor system, an application method and a material feeding device, the four-purpose solid waste or biomass reactor system is of a gas locking type structure and is used for feeding solid waste or biomass materials into the system; the material state adjusting section is connected with the material feeding device, a smoke heating area I and an electromagnetic induction heating area I are sequentially arranged on the outer side of the material state adjusting section, a gas outlet is formed in the upper surface of the material state adjusting section and used for drying materials or adjusting mechanical properties, and a grinding device is arranged at the outlet end; the pyrolysis section and the upgrading section are used for realizing the pyrolysis of materials and the adjustment of pyrolysis products as required. Product output can be flexibly arranged according to environment and surrounding condition change, equipment replacement is not needed, investment is saved, and changes of market requirements are quickly responded; and meanwhile, upgrading of different products into high-quality products mainly depends on the output of the system and does not depend on an external expensive catalyst.

The invention relates to the technical field of ocean engineering and renewable energy sources, and discloses a back wave water inlet type oscillating water column structure based on long wave reduction and energy extraction, which comprises a wave absorption main body, a support, a pile foundation and a turbine generator set with an air turbine, and further comprises an arc-shaped moving door, the two arc-shaped moving doors are connected into an interlayer of the wave absorbing body in a sliding mode, and a back water inlet matched with the two arc-shaped moving doors is formed in one side of the wave absorbing body. Water level modulation caused by the phase difference between the liquid level fluctuation of the cavity and the liquid level fluctuation outside the cavity is formed to reduce waves. According to the technical scheme, wave response optimization under different wave periods can be achieved by synchronously adjusting the size of the water inlet, the energy extraction efficiency is improved, the wave transmissivity is reduced, and the device is suitable for various layout forms of offshore and open sea areas and has the good wave adaptability and the integration characteristic of wave reduction and energy extraction.

The application relates to a porous carbon-coated cobalt sulfide nanosheet catalyst and a preparation method and application thereof, and belongs to the field of electrocatalytic materials and renewable energy technologies. The application constructs a composite nanosheet structure of Co9S8 nanoparticles embedded in a porous carbon matrix, so as to solve the problems of insufficient activity and stability of a bifunctional oxygen catalyst. The preparation method comprises the following steps: 1, preparing hexagonal alpha-Co(OH)2 nanosheets; 2, preparing a uniformly dispersed alpha-Co(OH)2 nanosheet loaded surfactant micelle template solution; 3, preparing a mesoporous melamine resin coated alpha-Co(OH)2 nanosheet composite; and 4, placing the mesoporous melamine resin coated alpha-Co(OH)2 nanosheet composite obtained in the step 3 and a sulfur source in a tube furnace respectively, and carrying out two-step high-temperature treatment under a protective atmosphere, so that the catalyst is obtained. The catalyst shows excellent bifunctional oxygen catalytic activity in an alkaline medium: the overpotential of an oxygen evolution reaction is as low as 324 mV (10 mA cm ‑2 ), and the starting potential of an oxygen reduction reaction reaches 0.92 V.

The application discloses a solar spectrum frequency division combined heat and power system and an operation method, and relates to the technical field of renewable energy sources, and comprises the following steps: S001, a coupling analysis baseline between irradiation parameters, heat distribution and optical characteristics is established, real-time temperature data and beam wavefront information of a spectrum frequency divider under sunlight conditions are collected, and an estimated atlas of refractive index gradient distribution is generated based on a thermal refractive index variation law. Through thermal, optical and force coupling control, the application realizes accurate prediction, real-time identification and dynamic correction of thermal lens effect, establishes a closed-loop feedback mechanism, guarantees stable alignment of photoelectric and photothermal paths, effectively improves system energy efficiency and operation reliability, and overcomes the problems of deviation, energy efficiency reduction and component damage caused by thermal lens in the prior art.

The invention discloses a device and a method for preparing green ammonia by synchronously coupling gliding arc discharge and electro-catalysis, and belongs to the technical field of green chemical industry and renewable energy sources. The device comprises an integrated reactor, a gas distribution system, a high-voltage alternating-current power supply and a constant-voltage direct-current power supply, the integrated reactor comprises a gliding arc discharge unit, a cathode pool and an anode pool, and can perform electrocatalytic reduction reaction to synthesize ammonia in situ while realizing that gliding arc discharge oxidizes air to generate nitrogen oxide; and a gas-liquid-electrode interface stable structure is arranged in the cathode tank, so that the interference of bubbles on an electrode interface can be effectively blocked. According to the method, discharge parameters and catalyst performance are optimized, and the area and electrochemical potential of a working electrode are regulated and controlled, so that the plasma oxidation rate is matched with the electrocatalytic reduction rate, and continuous and stable operation is realized. According to the invention, the short-life active particles generated by the plasma directly participate in or promote the electro-catalytic reaction, a remarkable synergistic effect is generated, and efficient, green and continuous synthesis of ammonia from air and water is realized.

This invention belongs to the field of marine renewable energy technology, specifically relating to an adaptive sea state multi-degree-of-freedom combined marine energy power generation device and control method. A wave energy input mechanism and a reversing mechanism are mounted on the drive shaft, while an energy conversion mechanism is mounted on the driven shaft. The wave energy input mechanism, under the action of the reversing mechanism, inputs unidirectional rotation to the energy conversion mechanism. A self-adjusting gear ratio system is placed inside the float base, with different gear ratios between each gear set. The drive wheel is mounted on the drive shaft via bearings and has an internal groove, while the driven wheel is fixedly mounted on the driven shaft. A controllable pin device is fixedly mounted inside the drive shaft, controlling the pin to extend into or retract from the internal groove, switching gear sets to adapt to different sea states. This invention changes the gear ratio to alter the resistance during pendulum motion, enabling resonance between the pendulum motion and the float motion, thus more effectively utilizing wave energy under different sea states and significantly improving wave energy utilization efficiency.

The present invention relates to a thermoelectric concrete façade system designed for harvesting, storing, and utilizing solar thermal energy within building components. The proposed system comprises a concrete panel containing dark pigments to enhance solar heat absorption and one or more embedded thermoelectric modules that convert temperature differences between the outer and inner surfaces of the façade into electrical energy through the Seebeck effect. The generated electricity is directed to an integrated energy management circuit, which regulates charging of a rechargeable battery and subsequently supplies low-power electrical loads—such as LED lighting, environmental sensors, or monitoring devices—during periods of low solar radiation. By integrating renewable energy technologies directly into structural materials, this invention provides an innovative solution for creating energy self-sufficient building façades. The system reduces grid electricity consumption, enhances structural durability, and contributes to sustainable architecture for both urban and industrial applications.