518 results about "Zero carbon" patented technology

The invention provides a new class of transportation with a partially aerostatically supported ram air cushion ship (PASRACS) that can provide safe, fast, efficient global transport services with extraordinary comfort, luxury and amenities. The PASRACS employs inventive synergistic combinations of lift from aerostatic, aerodynamic, hydrostatic and hydrodynamic forces for different modes of operation ranging from a stationary floating configuration on a water surface, to flight in ground effect at high speed. A propulsion system can utilize hydrogen as an energy source driving fluid-dynamic thrusters, to enable zero carbon emissions operations. A transition method is provided for a PASRACS to transition from a floating mode to a takeoff mode to a flight in ground-effect mode in an inventive optimized manner. A transport method for multimodally transporting payload is provided with PASRACS vehicles and systems, with quick turn time operations enabled by the use of payload transfer transport modules and transfer vehicles.

The present invention relates to the technical field of carbon emission monitoring. Disclosed is a method for constructing a carbon assessment classification indicator system of a zero-carbon power supply station taking carbon flow analysis into consideration. The method comprises: acquiring an output result of a power network steady-state carbon flow model of a zero-carbon power supply station; on the basis of the output result and a goal of the zero-carbon power supply station, obtaining carbon assessment classification indicators of zero-carbon power supply; assigning weights to the carbon assessment classification indicators by means of a frequency statistics method; and integrating weighted carbon assessment classification indicators, so as to obtain a carbon assessment classification indicator system of the zero-carbon power supply station. In the present invention, multidimensional comprehensive evaluation is performed taking into account carbon flow analysis, thereby assessing the zero-carbon level of a power supply station more comprehensively and more accurately. Moreover, by means of carbon flow analysis, carbon flow and transformation processes within the power supply station can be precisely tracked, so as to assess the carbon emissions of the power supply station more accurately, and thus an assessment result is more comparable and operable.

The invention relates to the technical field of electric digital data processing, in particular to an AI-driven highway engineering full-cycle carbon emission optimization method and system, and the method comprises the steps: constructing a highway engineering full-cycle carbon emission digital twinborn model, integrating multi-source heterogeneous data, and constructing a highway engineering full-cycle carbon emission digital twinborn model; and real-time monitoring, accurate accounting, intelligent prediction and early warning and collaborative optimization of construction carbon emission are realized by applying an artificial intelligence technology, and a multi-dimensional carbon reduction path is generated. According to the method, the accounting boundary can be comprehensively defined, real-time monitoring and accurate accounting are realized, system-level intelligent collaborative optimization is provided, the carbon emission management level of highway engineering is remarkably improved, and near-zero carbon construction is promoted.

The invention discloses a zero-carbon park energy supply optimization method and system based on big data analysis. The method comprises the following steps: S1, constructing a unified park energy operation data set; s2, performing feature extraction and data fusion on the park energy operation data set by using a big data processing technology to generate an energy supply and demand prediction result at a future moment; s3, constructing a distributed energy storage regulation and control optimization model of the zero-carbon park; s4, solving the distributed energy storage regulation and control optimization model of the zero-carbon park by using an improved hybrid optimization algorithm, and generating a plurality of distributed energy storage regulation and control strategy candidate solutions; and S5, evaluating the distributed energy storage regulation and control strategy candidate solution, selecting an optimal distributed energy storage regulation and control strategy which is most matched with the current park energy supply and demand state according to a preset fitness evaluation index, and taking the optimal strategy as a regulation and control scheme. According to the method, the energy utilization efficiency can be effectively improved in a complex dynamic environment, the energy storage loss and carbon emission are reduced, and the intelligent energy supply optimization target of the zero-carbon park is achieved.

The invention provides a marine ranch breeding and zero-carbon comprehensive energy system based on marine energy. The marine ranch breeding and zero-carbon comprehensive energy system specifically comprises a floating platform module, a marine ranch module, a marine renewable energy power module, a wind power-hydrogen ammonia conversion module, an intelligent control module, a marine transportation system and a consumption terminal. Functional fusion of offshore energy and marine ranching is achieved, the sea area intensive utilization rate, the sea area resource development efficiency and the marine resource development technology level are effectively improved through the wind-fishery-hydrogen-ammonia fusion development mode, the marine resource development cost is effectively reduced, advantage complementation is formed, commercial state fusion is achieved, and the development cost is reduced. And the intelligent control module can realize energy collaboration of the offshore energy, so that the utilization rate of the power generation output power of the offshore renewable energy power module is improved while the operation of the power grid is stabilized, and the wind power-hydrogen ammonia conversion efficiency is improved.

The invention discloses a zero-carbon park environment monitoring method and device based on edge calculation and a medium, and the method comprises the steps: collecting the environment parameter data of a zero-carbon park in real time based on a multi-type sensor network deployed in the zero-carbon park; preprocessing the environmental parameter data through an edge computing node, and analyzing the preprocessed environmental parameter data; a control instruction of the zero-carbon park is generated according to the analysis result, and the control instruction is transmitted to the environment regulation and control equipment, so that the environment regulation and control equipment executes the control instruction; monitoring the execution state of the environment regulation and control equipment in real time, collecting equipment feedback data, and updating the equipment feedback data to the edge computing node; and based on the historical data and the real-time feedback data, utilizing a pre-trained prediction model to optimize an environment regulation and control strategy so as to dynamically adjust the generation logic of the control instruction.

The invention provides a renewable energy driven iron-based zero-carbon-emission energy storage power generation system based on iron-oxygen circulation, and belongs to the technical field of renewable energy utilization and power generation, and the renewable energy driven iron-based zero-carbon-emission energy storage power generation system comprises a renewable energy consumption module, an alkaline water electrolysis hydrogen production module, a hydrogen reduction reaction module, a combustion energy supply module and a steam Rankine cycle module; the renewable energy consumption module is used for acquiring and converting renewable energy into electric energy; the alkaline water electrolysis hydrogen production module is used for producing hydrogen by using electric energy; the hydrogen reduction reaction module utilizes hydrogen to carry out reduction reaction to store energy; and the steam Rankine cycle module is used for converting energy released by combustion into electric energy. Based on iron-oxygen circulation and through cooperative operation of the renewable energy consumption module, the alkaline water electrolysis hydrogen production module, the hydrogen reduction reaction module, the combustion energy supply module and the steam Rankine cycle module, efficient consumption of renewable energy, effective storage and conversion of energy and zero-carbon-emission green electricity production are achieved.

The invention relates to the field of new energy, and discloses a regional multi-energy complementary zero-carbon energy supply system coupling a reversible solid oxide battery technology and a closed CO2 network, which comprises an RSOC heat-mass-electricity reversible converter, a closed CO2 circulating network, renewable energy power, an external heat source, a chemical energy storage, a natural cold and heat source and a terminal energy consumption module. According to the invention, the RSOC bidirectionally operates in a power generation mode and an electrolysis mode, the coupling chemical energy storage module realizes regional multi-time scale energy balance, photovoltaic power generation supplies power to RSOC electrolysis and terminal users at the same time, and light condensation and heat collection and industrial waste heat in the external heat source module can be integrated with the RSOC module to reduce electrolysis power consumption. The closed CO2 network adopts pressurized low-temperature CO2 as a circulating working medium of the regional heating and cooling network, and RSOC waste heat and natural cold and heat resources can be fully utilized on the source side; the network heating and cooling capacity is greatly improved at the terminal through phase change heat transfer, passive cooling of a user is achieved, meanwhile, the water source heat pump is coupled to meet the heating power requirements of different grades, and net zero carbon emission is achieved in the whole process.

The invention discloses a park carbon emission management method, equipment and a medium, and relates to the technical field of carbon emission intelligent monitoring, accounting and management. The method comprises the following steps: acquiring multi-source data related to carbon emission of a park; according to the multi-source data, calibrating a carbon emission factor corresponding to the park to obtain a dynamic calibration factor; performing carbon flow simulation on the carbon emission of the park based on the twins of the park and the dynamic calibration factor to obtain a simulation result of at least one emission reduction scheme; according to a simulation result, generating a zero-carbon path plan corresponding to the park; and under the framework of zero carbon path planning, based on a reinforcement learning algorithm, generating a carbon emission strategy corresponding to the park, and executing the carbon emission strategy. Therefore, precise park carbon emission management can be realized.

The invention discloses a park zero carbon detection management planning method, which belongs to the technical field of carbon emission management and comprises the steps of park data implementation and acquisition, park total carbon emission analysis, carbon reduction measure formulation and implementation, carbon reduction measure adjustment and equipment maintenance, park carbon reduction measure evaluation, park carbon reduction efficiency scoring and the like. The real-time data acquisition unit covers key information of carbon emission, carbon reduction equipment use cost, renewable energy quantity and abnormal carbon emission condition processing duration, direct and indirect carbon emission source emission data are acquired, the carbon emission intensity of each source is calculated, and accurate total carbon emission analysis is realized; a constraint and scoring mechanism for the implementation effect of the carbon reduction measures is provided, whether the carbon reduction measures meet requirements can be accurately judged according to preset parameters, the optimal carbon reduction strategy is selected, and the efficiency and effect of carbon reduction measure selection are remarkably improved; by continuously optimizing and adjusting carbon reduction measures and regularly maintaining related equipment, the overall energy efficiency of the park is improved, and carbon emission is reduced.

The invention discloses a zero-carbon park multi-energy collaborative optimization system based on electricity-carbon-hydrogen-alcohol coupling, and the system comprises a multi-energy flow coupling architecture which constructs a closed-loop system formed by connecting a renewable energy power generation module, a green hydrogen preparation module, a methanol synthesis module and a carbon capture module; the intelligent optimization model is deployed in a system control layer and comprises a multi-target collaborative optimization algorithm execution unit; the self-adaptive regulation and control system comprises a weather prediction module, a load demand analysis module and an equipment parameter regulation module; the system comprises a digital management platform, three-dimensional visualization, an integrated server and block chain nodes. Therefore, according to the system, a multi-energy-flow closed-loop architecture is constructed, energy flow efficient cooperation is achieved through intelligent optimization and self-adaptive regulation and control, the resource configuration precision is improved in combination with digital management, the utilization rate of renewable energy sources can be effectively increased, and the system flexibility is enhanced.

The invention relates to the technical field of zero-carbon equipment fault early warning, and discloses a zero-carbon equipment fault early warning method and system based on ESG scheduling, and the method comprises the steps: collecting multi-source ESG parameter data, such as carbon footprint intensity, clean energy consumption and energy storage system charging and discharging efficiency, extracting equipment state features through employing a graph convolution network in combination with a gating circulation unit, and carrying out the early warning of the zero-carbon equipment fault; and calculating an ESG correlation degree and an inter-time-segment cross-correlation matrix, and generating a fault early warning weight through a ReLU activation function after principal component analysis dimension reduction. And dynamically adjusting the reference threshold based on the weight, correcting the deviation by means of an extended Kalman filter, and generating an early warning parameter to trigger an early warning process. Meanwhile, a multi-dimensional equipment state space is constructed to judge a fault state, a joint optimization model of ESG parameters and an early warning threshold value is solved through a non-dominated sorting genetic algorithm, collaborative optimization of ESG benefits and fault early warning is achieved, and early warning accuracy and dynamic adaptability are improved.

The invention discloses a carbon emission prediction and novel power system planning method and system in the urban power field. The method comprises the following steps: calculating the energy demand quantity of each department according to the urban total production value GDP, population, industrial structure and energy consumption characteristic data; calculating the total carbon emission amount of the electric power department based on the energy demand in combination with the carbon emission factor; on the basis of the total carbon emission amount of an electric power department, urban energy endowment, emission reduction tasks, emission reduction policies and power generation technology improvement are considered, and on the basis of economy, population and electricity consumption parameters of an electric power demand end, various development situations of low carbon, zero carbon and negative carbon of an electric power system are designed; predicting carbon emission and carbon emission reduction corresponding to the demand end in each scene, and obtaining an emission reduction path from the demand end; and establishing a power system multi-scene optimization planning model by taking the lowest net present value of the total cost of the system as an objective function and taking urban power related constraints as constraint conditions, and calculating a power generation installed capacity development path meeting the system cost and the related constraints.

The invention discloses a hydrogen-light-electricity-heat coordinated integrated comprehensive energy system and an operation method, the system adopts a power controller to carry out energy management on the system, when the load demand fluctuates, according to the set priority principle of system operation, the operation mode of the system is converted in real time, and coordination control of energy balance is carried out, so that the load demand is optimized. The reasonable distribution of the power can reduce the problem of light abandoning, the maximum utilization of energy is realized, the overall efficiency of the system is improved, and the system can better cope with the change of the load demand and stably operate for a long time. The system integrates photovoltaic power generation, fuel cell power generation, water electrolysis hydrogen production, energy storage, hydrogen storage and heat storage, complementation and supply and demand collaboration of various energy sources are achieved, the comprehensive energy efficiency of the system is improved, and various load requirements of electricity, hydrogen and heat can be met at the same time. Wherein the hydrogen is prepared by utilizing electric energy generated by photovoltaics, and in the process of producing green hydrogen by utilizing renewable energy sources, zero carbon emission is realized, and the utilization of clean energy sources is realized.

The invention discloses a marine LNG solid oxide fuel cell energy gradient utilization zero-carbon emission system and an operation method thereof. According to the technical scheme, the energy utilization rate can be effectively increased, gradient utilization of cold-heat-electricity composite energy can be achieved, and the technical advantages of pure electric power, low noise, no pollution, zero carbon emission and high energy efficiency of a ship system are reflected. The marine fuel cell zero carbon emission system comprises a solid oxide fuel cell-HCCI internal combustion engine module, an exhaust gas carbon capture module, an ORC cycle module, an air supply module, an external reforming module and an energy distribution module. The waste gas carbon capture module is used for capturing waste gas generated by the system and is used for being linked with the ORC circulation module. And the ORC cycle module is linked with the solid oxide fuel cell-HCCI internal combustion engine module. The air supply module is used for exchanging heat with the HCCI internal combustion engine through external air. The external reforming module is used for providing heat and water vapor to the reformer.

The invention discloses a zero-carbon park double-layer collaborative planning system oriented to multi-industry symbiosis, which is characterized in that a park-level shared carbon capture system is deployed on the aspect of technical symbiosis, multiple emission sources of energy and industry are converged, unified and purified, and the investment cost of emission reduction facilities is remarkably reduced; on the energy symbiosis level, an electricity-heat-hydrogen flexible network and a source-network-charge-storage integrated system are constructed, and gradient utilization and efficient interaction of multiple energy flows are achieved; on the aspect of material symbiosis, a deep closed-loop circulation system of industrial byproducts, waste and waste gas is established by optimizing the industrial symbiosis network topology, and the purposes of waste minimization and park net zero carbon emission are achieved. According to the method, the problem of comprehensive zero-carbon planning of the high-energy-consumption park is effectively solved, and the overall energy and resource utilization efficiency is remarkably improved while stable operation of the system is guaranteed.

The application discloses a kind of zero carbon scheduling method of virtual power plant with photothermal power station considering and multi-element resource game, first, according to the different division of resource, the park controlled by the virtual power plant with photothermal power station is divided into park 1, park 2, park 3;Establish the game architecture of virtual power plant with photothermal power station and its internal multi-element resource;Establish the output model of photothermal power station containing organic rankine cycle ORC, heat collection mirror field HF, heat storage tank TES;Establish the output model of combined heat and power unit CHP, combined cooling heating and power unit CCHP, and establish actual carbon emission model based on it;Carbon responsibility on power supply side is apportioned to park 1, park 2 by position fair apportionment rule;Establish carbon capture-electricity to gas coupling model;Establish carbon trading model and green certificate income model after responsibility apportionment;According to photothermal power station output model, carbon capture-electricity to gas coupling model, carbon trading model and green certificate income model after responsibility apportionment, construct the master-slave game model of one master and multiple slaves with power balance as constraint condition, leader with realizing zero carbon operation and total income maximum as target, follower with income maximum as target;And solve the maximum income of leader and follower in master-slave game, obtain scheduling scheme.

The invention belongs to the technical field of zero-carbon buildings, and particularly relates to a zero-carbon building design method based on AI optimization. According to the AI optimization-based zero-carbon building design method provided by the invention, meteorological data of a region where a target building is located is systematically collected and analyzed, a detailed building model and environment model database is constructed, real-time monitoring data of internal and external environments of the building is collected, and key energy consumption indexes of the building during operation are recorded; and a machine learning model is trained by using the comprehensive data, so that the energy efficiency is improved and the carbon emission is reduced in the building design process. According to the method, not only are the characteristics of the building considered, but also the influence of the external environment and the actual operation condition is fully considered, a more scientific reference basis is provided for the building design stage, and environment protection and energy conservation of the building are improved.

An electric hot plate lifting type iron ore sintering zero-carbon ignition heat preservation device comprises a sintering trolley and an ignition device located above the sintering trolley on the upstream of a sintering machine. The ignition device comprises an ignition heat preservation furnace and a lifting type electric heating plate device arranged on the ignition heat preservation furnace. And the ignition holding furnace is arranged above the sintering pallet. The lifting type electric hot plate device comprises a lifter, a power transmission bearing rod, a resistance hot plate and a lifting motor. The lifter is installed on the upper portion of the furnace top of the ignition holding furnace. And the power transmission bearing rod is arranged on the lifter and penetrates through the lifter and the furnace top of the ignition holding furnace. And the resistance hot plate is arranged above the sintering pallet and is connected with the lower end of the power transmission bearing rod. The lifting motor is connected with the lifter and drives the electricity transmission force bearing rod through the lifter to drive the resistance hot plate to move up and down. According to the utility model, electric heating ignition is adopted, clean and green zero-carbon ignition is realized, the carbon emission is obviously reduced compared with the prior art, the ignition is uniform, and the service life of the furnace lining of the ignition furnace is effectively prolonged.

The invention discloses a zero-carbon glass kiln process. A system required by the process comprises a photovoltaic power generation device, an air separation device, a water electrolysis hydrogen production device, a mixer, a methanation device, a waste heat boiler I, a reforming device, a glass kiln, a waste heat boiler II and a dust removal and desulfurization device. Green oxygen, green nitrogen and green hydrogen are produced through green electricity driving; the flue gas of the glass kiln is cyclically enriched into high-concentration carbon dioxide (95.0 v% or above), the high-concentration carbon dioxide and green hydrogen are subjected to a methanation reaction to produce methane, and the methane, the carbon dioxide and water vapor are subjected to a reforming reaction to produce carbon monoxide and hydrogen; carbon monoxide and hydrogen are used as fuel of the glass kiln, green oxygen and carbon dioxide are mixed to form carbon-based oxygen-enriched combustion which is used as a combustion improver of the glass kiln, carbon-based oxygen-enriched combustion of the glass kiln is carried out, and redundant carbon dioxide is sold. According to the invention, the purposes of greenness, energy conservation, almost no nitrogen oxide and zero carbon are realized.

The invention provides an AI-based zero-carbon park energy management method and system, and a medium, and aims at achieving the purposes of efficient utilization and zero-carbon emission of energy in a park through an intelligent scheduling strategy. According to the method, energy consumption demand estimation, carbon emission optimization, multi-energy system management and other technologies are utilized to carry out real-time monitoring and optimal scheduling on various energy use conditions of the park. Specifically, the system collects the power use condition in the park, and performs energy consumption demand estimation and carbon emission calculation through an AI model. And then, according to a demand estimation result and a carbon emission optimization model, an optimal energy scheduling strategy is selected, real-time feedback is obtained after scheduling execution, and a decision model is further optimized. And finally, realizing collaborative optimization of an environmental protection target and economic benefits by adaptively adjusting a discount factor and a weight balance mechanism.

The invention relates to a zero-carbon park carbon reduction path planning method based on an HJ-PSO hybrid optimization algorithm, and the method comprises the following steps: S1, constructing a master-slave game framework, and defining a multi-level decision logic; s2, constructing an upper leader decision-making layer of the subordinate game framework; s3, constructing a lower response layer of the master-slave game framework; s4, determining a strategy set of a master-slave game and a Nash equilibrium condition; s5, an HJ-PSO hybrid optimization algorithm is adopted to solve the upper-layer robust optimization model; and S6, inputting the dynamic electricity price and load data obtained in the step S5 into the lower follower model in the step S3, and obtaining an optimal response strategy of an energy storage operator ESO and a load aggregator LA through the efficient solving capability of CPLEX. According to the invention, collaborative optimization scheduling of economic, low-carbon and stable operation of the system is realized.

The invention provides a zero-carbon ventilation temperature control and zero-carbon energy system. According to the system, generation of zero-carbon ventilation temperature control and zero-carbon energy is achieved mainly through the chimney effect, wind power generation and energy storage technology principles. The system mainly comprises a wind power pipeline, a wind power generator and an energy storage device, the wind power pipeline generates wind power which pushes the wind power generator to generate electricity, and the electricity is stored by the energy storage equipment for standby application. In summer, various buildings and greenhouses utilize the system to realize zero-carbon ventilation, cooling and energy storage, and the stored green energy can be used for heating in winter.

The invention relates to a zero-carbon intelligent agricultural development and utilization system and method based on gradient utilization of energy. The system comprises a geothermal well selection and arrangement module, a geothermal water collection and pretreatment module, a heat exchange module, a gradient utilization system construction module, a hot water circulation and reuse module, a working condition flexible adjustment module, an intelligent regulation and control module, a hot spring utilization and recharge system and a system energy storage module. The problems of energy waste, high carbon emission and insufficient agricultural suitability in the traditional technology are solved, and low carbonization and high efficiency of agricultural production are realized.

The invention discloses a cement enterprise carbon management system and method, and particularly relates to the technical field of cement carbon management, and the system comprises an intelligent carbon closed-loop management module which is used for achieving the whole-process monitoring, management and closed-loop control of enterprise carbon emission through the advanced data tracking and optimization technology. According to the invention, end-to-end carbon footprint tracing is carried out by using the block chain and the Internet of Things equipment, production parameters are dynamically adjusted through real-time data acquisition and an AI algorithm, dynamic balance of carbon emission is maintained, meanwhile, a digital twinborn model and multi-dimensional carbon accounting analysis help an enterprise to accurately make a carbon treatment decision, and the carbon treatment efficiency is improved. The intelligent carbon compensation module ensures the realization of a zero carbon emission target, the leading edge low-carbon technology integration module promotes green transformation of a production process through carbon capture conversion, green material research and development and renewable energy source integration, and the intelligent operation optimization module promotes the green transformation of the production process through optimization of production scheduling, predictive maintenance and supply chain carbon management. And the energy consumption and the carbon emission are obviously reduced.

The invention belongs to the technical field of micro-grids, and discloses a zero-carbon park distributed energy management system based on a micro-grid technology, and the system comprises a distributed renewable energy power generation unit, a multi-type energy storage unit, a flexible adjustable load unit, and an energy management master control system. According to the invention, by integrating renewable energy power generation, multi-type energy storage and flexible load, an efficient and collaborative energy system is constructed; the system adopts an advanced model prediction control algorithm to realize source-network-load-storage optimal scheduling, so that the utilization rate of renewable energy sources is remarkably improved, and the carbon emission intensity is effectively reduced; a multi-time-scale energy storage architecture ensures the stability and reliability of system operation, and can be quickly switched to an island mode when a power grid has a fault; the intelligent digital twin platform provides accurate fault diagnosis and operation and maintenance support, and the modular design endows the system with good expansibility.

The invention relates to the technical field of comprehensive energy system carbon evaluation, and particularly discloses a zero-carbon park carbon evaluation model construction method based on multi-energy collaborative optimization, and the method comprises the steps: obtaining the overall layout of a zero-carbon park, dividing a carbon emission region according to the overall layout of the zero-carbon park, and building a carbon emission topological graph according to the carbon emission region; determining an evaluation function of each carbon emission area according to the carbon emission topological graph, and establishing a carbon evaluation model according to the evaluation function of each carbon emission area; and screening out a to-be-optimized carbon emission region according to the carbon evaluation model, and optimizing the to-be-optimized carbon emission region based on an optimization algorithm to obtain a system optimization strategy combination of the to-be-optimized carbon emission region. According to the method, the carbon evaluation model of the multi-energy collaborative comprehensive energy system is established by establishing the carbon emission topological graph of the zero-carbon park, so that the carbon emission of the zero-carbon park can be accurately evaluated, and the energy utilization efficiency of the comprehensive energy system is improved.

The invention relates to a zero-carbon park optimal scheduling method considering variable working condition characteristics of a hydrogen energy storage system. The method comprises the following steps: step 1, collecting renewable energy and load data of a zero-carbon park; 2, constructing a zero-carbon park system optimization scheduling model, and establishing a zero-carbon park optimization scheduling objective function and constraint conditions; step 3, considering variable working condition operation characteristics of the hydrogen energy storage system, respectively formulating an efficient hydrogen production strategy of an electrolytic cell, an efficient power generation strategy of a fuel cell and an efficient heating strategy of the electrolytic cell and the fuel cell, and further constructing a multi-module mixed operation model of the hydrogen energy storage system; and step 4, completing optimal scheduling of the zero-carbon park system containing hydrogen energy storage. According to the method, the operation power-efficiency change of the hydrogen energy storage system and the input power and thermoelectric load supply power change of the system at different moments can be fully considered, and the optimal dispatching operation method of the electrolytic bath and the fuel cell equipment in the hydrogen energy storage system is determined.

The invention provides a hydrogen fuel cell power ship. The hydrogen fuel cell power ship comprises a liquid cargo storage unit, a cracking unit, a separation unit and a fuel cell unit. The liquid cargo is adopted as the basis of the fuel cell, the ship is powered through the fuel cell, and the endurance problem of the hydrogen fuel cell ship is solved. The liquid cargo on the ship is used as a raw material for power generation, raw material supply of the fuel cell can be ensured, and meanwhile zero carbon emission is achieved. Power is supplied to the ship through the fuel cell, equipment such as a main engine and an auxiliary engine of a fuel ship is replaced, the weight of the fuel cell equipment is lower than that of original fuel power system equipment such as the main engine and the auxiliary engine, the weight of an empty ship is reduced, the cabin capacity is increased, and the stability performance of the ship is optimized.

A hydrogen-powered refrigeration system 900 and related intelligent and predictive control methods, comprises various subsystems integrated to create synergies and interdependencies providing high efficiency, mission anticipation and recommendations to minimize fuel consumption and increase the durability of the system while refrigerating a cargo volume during transportation at low or no carbon emissions; wherein the intelligent and predictive controls are achieved by the use of a control system based on deep neural networks that optimizes operation by anticipating the future state of the system and adjusting its configuration based on models to operate under an optimal control policy that considers external information obtained from calls to APIs linked to external information providers while ensuring cargo is maintained under conditions required or regulated as a part of the cold chain. The invention has particular application to the vehicular and multi-modal transportation of items requiring refrigeration.