431 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 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 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 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.

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 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 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.

The invention discloses a system and method for producing low-carbon cement through photovoltaic power generation hydrogen production. The system comprises a photovoltaic power generation system, a water electrolysis hydrogen production system, a raw material grinding system, a rotary kiln calcination system, a cement grinding system and a carbon resource utilization device. The photovoltaic system provides a clean power supply for the electrolysis device, and a solid oxide electrolytic tank is adopted to efficiently prepare hydrogen at high temperature; hydrogen is input into the rotary kiln through a multi-point injection and oxygen combustion-supporting structure to serve as unique fuel, and zero carbon emission in the cement calcination process is achieved; carbon dioxide in tail gas of the system is purified and then synthesized into methanol together with hydrogen, and an energy-carbon cycle closed-loop path is constructed; linkage optimization of photovoltaic output, electrolytic load, calcination heat intensity and carbon conversion efficiency is realized through a multi-stage waste heat recovery and intelligent control system; the method has the remarkable advantages in the aspects of improving the energy utilization efficiency, reducing carbon emission and promoting resource collaboration and intelligent control, and is suitable for construction of a novel green cement industrial platform.

The invention discloses a zero-carbon method for strengthening coal seam gas recovery and CO2 storage by using flue gas residual heat in the technical field of residual heat utilization, gas extraction and carbon emission reduction. The zero-carbon method comprises the following steps: step 1, collecting high-temperature flue gas in a power plant; step 2, performing high-temperature CO2 concentration-compression; step 3, reservoir evaluation and area selection; 4, designing and constructing a horizontal well; 5, high-temperature CO2 injection and joint control energy increasing are conducted, specifically, high-temperature CO2 is injected into a preset section through a pump, the injection pressure and the injection speed are adjusted through the joint control energy increasing technology, and the diffusion range and the diffusion speed of CO2 are controlled; 4, gas recovery and CO2 storage: high-temperature CO2 is used for providing energy to promote gas desorption on one hand, and the high-temperature CO2 and CH4 in the adsorption state are subjected to competitive adsorption on the other hand. The method is simple and easy to operate, the coal seam gas partial pressure is reduced through CO2 injection, the recovery efficiency is improved, CO2 can be adsorbed by a coal seam and stored in a reservoir, and geological storage of CO2 is achieved.

The invention discloses a zero-carbon park carbon accounting method and system based on Transform, and the method comprises the steps: collecting multi-source heterogeneous carbon data of a zero-carbon park, completing the preprocessing, and generating a fusion input tensor and a corresponding data quality identifier; inputting the fusion input tensor into a multi-scale time sequence fusion coding model, and generating a time sequence feature intermediate representation through multi-branch coding processing adaptive to different data sources and sampling granularities; emission source contribution degree decomposition information is obtained through a category-constrained carbon flow tracking attention module, uncertainty analysis is completed to obtain a target carbon accounting result and confidence interval data, and a compliant carbon integral scheme and an auditable evidence packet are generated through a carbon integral generation optimization module; therefore, the problems of difficulty in aligning multi-source heterogeneous data of the zero-carbon park, insufficient consideration of period and mutation features and poor traceability of accounting results are effectively solved, the precision and compliance of carbon accounting are greatly improved, and a complete closed loop from carbon accounting to incentive management is realized.

The invention relates to a zero-carbon / negative-carbon energy supply system based on carbon flow and energy flow coordinated regulation and a design method, and belongs to the technical field of carbon comprehensive energy power generation. An upper capacity design layer of the system adopts a genetic algorithm to obtain an equipment capacity design scheme of each unit, and outputs the equipment capacity design scheme to a lower operation strategy optimization module; the lower-layer operation design optimization layer obtains an optimal operation strategy of the equipment capacity design scheme by adopting a sequential solution algorithm guided by knowledge rules, takes the leveled kilowatt-hour cost under the optimal operation strategy as the operation cost and feeds back the leveled kilowatt-hour cost to the upper-layer capacity design layer, and the upper-layer capacity design layer evaluates the leveled kilowatt-hour cost based on the fed-back operation cost. According to the system, combined optimization of capacity configuration and an operation strategy is realized, the solving efficiency is greatly improved, and feasibility is provided for solving of a large-scale complex system.

A zero-carbon flash reduction ironmaking device comprises a reaction tower, the reaction tower is arranged upside down, a flash reduction area, an iron powder waste heat boiler and a green oxygen preheater are sequentially arranged in an inner cavity of the tower from top to bottom, oxyhydrogen powder entering the tower is subjected to oxyhydrogen combustion, mineral powder green hydrogen absorbs heat and is heated to the high temperature, and all hydrogen reduction reaction is completed before the mineral powder flows out of the flash reduction area. Iron powder is cooled through an iron powder waste heat boiler and a green oxygen preheater, hydrogen steam is cooled through a hydrogen steam waste heat boiler and a mineral powder preheater, and hydrogen water is separated through a cyclone dehydrator and a drying filter. The iron ore concentrate powder with the particle size smaller than 200 meshes falls into a powder bin, the reduction temperature ranges from 1100 DEG C to 1200 DEG C, the time for the ore powder to flow through a flash reduction area ranges from 2 s to 3 s, and the temperature for the ore powder to leave an iron powder waste heat boiler and the temperature for hydrogen steam to leave a hydrogen steam waste heat boiler range from 125 DEG C to 175 DEG C. The invention can be used for flash smelting of iron ore concentrate powder. The invention has the advantages of high waste heat recovery rate, long service life of the furnace lining, low energy consumption and zero carbon emission, and can avoid using the key management object coke ironmaking blast furnace device of the national two-high project.

The invention discloses a low-power laser-assisted hydrogen reduction ironmaking method, which comprises the following steps: irradiating an iron-containing ore sample at an angle of 10-90 degrees by using low-power 200W laser or solar focusing light beams under a vacuum condition, and carrying out thermal reduction to generate elemental Fe and other compounds. 4-6 red copper blocks are placed above the sample table to collect volatile matters, and a circulating water cooling device is placed below the sample table to cool and collect smelted samples. And finally, metal Fe is obtained through magnetic separation, and the green metallurgy purpose of zero carbon emission in the whole ironmaking process is achieved. The zero-carbon-emission low-power laser ironmaking method under the atmosphere condition is simple, easy to operate and environmentally friendly, has the potential of large-scale continuous production, and is expected to be applied to the technical field of intelligent, clean and efficient ironmaking in the future.

The invention provides a high-efficiency electric energy storage and zero-carbon emission technology for producing, storing and transporting dimethyl ether based on coupling of green hydrogen and a coal gasification process. Green hydrogen is prepared from renewable energy electrolyzed water and coupled with the coal gasification process to generate synthesis gas, then methanol is synthesized, and dimethyl ether is generated through dehydration. Dimethyl ether is stored in a liquid form and transported in a long distance, and is transported in a gas form during short-distance transportation. Efficient electric energy storage and zero carbon emission are achieved, and high economic and environmental benefits are achieved.

The invention discloses a production process of zero-carbon blended yarn and fabric, and belongs to the technical field of zero-carbon fabric production, the zero-carbon blended yarn comprises the following raw materials by weight: 60% of regenerated polyester fiber; 40% of organic cotton fiber; the regenerated polyester fibers and the organic cotton fibers are mixed according to the proportion of 60: 40, biological enzyme degreasing treatment is adopted, and water consumption is reduced by 50%; s2, low-carbon spinning; s3, carbon footprint tracking; s4, no dyeing and finishing process; s5, closed-loop water treatment. According to the production technology of the zero-carbon blended yarn and the fabric, the zero-carbon blended yarn fabric produced through the production technology can be widely applied to the high-end fields of sportswear, outdoor equipment and the like, large-scale production of the zero-carbon blended yarn fabric is achieved through combination of raw material innovation, technology optimization and carbon management, environmental benefits are remarkably improved, and the production technology is suitable for popularization and application. The production process is energy-saving and consumption-reducing, and full-life-cycle carbon management is realized.

The invention relates to a zero-carbon park source network load storage coordination control method based on a deep reinforcement learning algorithm, and the method comprises the following steps: S1, collecting data in a park in real time, carrying out the standardization, denoising and feature extraction of the collected data, and forming a data set; s2, modeling the environment state space to comprehensively reflect the current state of the system; s3, defining an action space for adjusting the operation state of the system, realizing real-time regulation and control and forming the action space; s4, designing a reward function to realize dynamic balance among different targets; s5, training a strategy network and a value network by adopting an entropy regularization SAC algorithm, and optimizing a control strategy; and S6, in the system operation process, continuously collecting new operation data, updating the strategy network and the value network in real time by using the online learning capability of the SAC algorithm, and dynamically adjusting the control strategy to adapt to environmental changes. According to the invention, efficient utilization of new energy, low-carbon power purchase optimization and dynamic load regulation and control are realized, and the overall operation efficiency of the park is improved.