213 results about "Zero carbon" patented technology

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 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 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 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 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.

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.

The invention relates to a cooperative control method and system for lean-burn emission of a marine low-zero carbon fuel engine. The method comprises the steps that real-time in-cylinder pressure and temperature data are collected, and an in-cylinder pressure curve and an in-cylinder temperature curve are obtained through time sequence alignment, filtering denoising and interpolation fitting processing; extracting time sequence data based on the curve, calculating average effective pressure and peak temperature in a cylinder to determine a current load interval, and marking a risk tag sequence; calculating the generation rate of the nitrogen oxides and the particulate matters by matching with reaction condition parameters, and extracting reverse variation characteristics to obtain strong mutual exclusion correlation of the nitrogen oxides and the particulate matters; and based on the associated starting model, predicting and controlling the output oil injection quantity and the air inflow adjusting quantity, calculating the transient time sequence lag quantity through a dynamic lag model, and after superposition, calibrating through a combustion phase matching algorithm to generate an oil injection timing and air inlet valve opening control instruction after transient adjustment. The method is adaptive to the combustion characteristics of low-zero-carbon fuel, emission contradictions are accurately captured, transient emission peak values are avoided, and multi-pollutant collaborative control is achieved.

The invention relates to an electricity-hydrogen-ammonia coupling multi-energy collaborative optimization system, and belongs to the technical field of comprehensive energy systems and clean energy conversion. According to the invention, links of renewable energy power generation (photovoltaic and wind power), electrolytic hydrogen production, hydrogen storage and transportation, hydrogen energy power generation, hydrogen-based chemical production and the like are deeply coupled to construct an electricity-hydrogen-ammonia coupled multi-energy collaborative optimization system, and a'source-storage-use 'integrated zero-carbon energy supply system is formed; therefore, the function boundary and the application scene of the existing electro-hydrogen coupling system are expanded. According to the invention, multi-module operation of wind-solar power generation, power grid interaction, electrolytic hydrogen production / hydrogen fuel cell power generation, green ammonia synthesis and the like is coordinated through an intelligent scheduling mechanism, so that the system is ensured to participate in multi-dimensional transaction of the power market and the hydrogen energy / chemical product market at the same time; the comprehensive benefits of full consumption of renewable energy sources, peak regulation income maximization of the power grid, zero carbonization of chemical production and value-added utilization of by-products are achieved.

The invention discloses a hydrogen fuel cell heat and power cogeneration system for zero-carbon energy supply of a building, and the system comprises a fuel cell power generation module which is used for receiving high-purity hydrogen as a fuel and generating direct current through electrochemical reaction so as to supply power to an electric load of the building. And the heat recovery and heat supply module is used for recovering heat generated in the operation process of the fuel cell power generation module so as to supply heat to a building heat load. And the hydrogen supply module is connected with the fuel cell power generation module and is used for providing hydrogen required by the fuel cell power generation module. And the intelligent energy management module is used for monitoring electric / thermal load requirements in real time and dynamically adjusting the output power of the fuel cell power generation module. The method has the advantages that zero carbon emission can be realized; the energy is efficiently utilized; the modular design supports flexible expansion from kW level to hundred kW level, and adapts to different building scales; the system has the capabilities of automatic start and stop, load following and grid-connected / off-grid switching; the environment adaptability is high; and the technology maturity is high, and a large-scale deployment basis is provided.

The utility model provides a zero-carbon park circulating heat supply system, which belongs to the technical field of park heating, and is characterized in that high-temperature cooling water generated by equipment in a park is received by utilizing a confluence pipe network and a high-temperature buffer water tank, high-temperature cooling water circulation is carried out through a first circulating pump, and high-temperature steam generated by the equipment in the park is received through a steam pipeline; high-temperature cooling water discharged by the high-temperature buffer water tank is further heated through the second heat exchanger, heat energy is provided for the heating side through the first heat exchanger, and the high-temperature cooling water and high-temperature steam generated by equipment in the park are effectively utilized for heating office buildings in the park; the technical problems that in the prior art, a water floor heating system in a park office building only uses a gas / coal-fired boiler for heating, high-temperature cooling water and high-temperature steam generated by equipment in a park cannot be effectively utilized, energy is wasted, and carbon emission is increased are solved.

The utility model relates to a titanium dioxide zero-carbon suspension rapid crystal transformation system which comprises a desulfurizing tower, an induced draft fan, a bag collector, a scattering dryer, a high-temperature fan, a first cyclone cylinder, a suspension calcining furnace and a second cyclone cylinder. According to the utility model, titanium dioxide is produced by adopting a suspension calcination technology, green electricity is adopted as electric energy, and a byproduct carbon dioxide is recycled, so that zero-carbon production of products is facilitated, and carbon neutralization in the titanium dioxide industry is promoted.

This invention relates to the field of clean energy power generation technology, and proposes a three-source coupled synergistic power generation device based on hydropower, gravity, and kinetic energy. The device includes a water storage tank, a wheel, an upper water tank, an upper water baffle, a closed-loop water tank pump system, a main shaft, counterweight grooves, counterweight blocks, high-pressure spherical bearings, buffer springs, and a dual-start transmission power generation assembly. The wheel diameter is unlimited and can be arbitrarily enlarged according to actual power demand. The wheel size is directly proportional to the output torque and power generation. The upper water tank is circularly arranged on the wheel. The closed-loop water tank pump system is installed on the upper side of the water storage tank. Multiple counterweight grooves are arranged in a circular array on both sides of the top water tank of the wheel. Multiple high-pressure spherical bearings are respectively installed at the bottom of each counterweight block. Multiple buffer springs are symmetrically installed on the upper and lower sides of each counterweight groove. This technical solution solves the problems of limited power output, single starting method, low energy conversion efficiency, and inability to operate with zero carbon emissions in traditional power generation equipment.

The invention discloses a zero-carbon building weekly power consumption optimization method considering meteorological factors and power consumption events, and the method comprises the steps: predicting the photovoltaic power generation power and building foundation load per hour in a future week based on a photovoltaic power generation multiple linear regression model and a building foundation load multiple linear regression model; establishing a zero-carbon building power utilization optimization model based on different weather types according to the environment and internal power utilization equipment data in the zero-carbon building and the predicted photovoltaic power generation power and building basic load; the building weekly power consumption optimization method under different meteorological factors is established by considering the influence of the change of the meteorological factors in the next week on building photovoltaic power generation and the influence of the power consumption events arranged by the building in the next week on building load, the operation of main power consumption equipment in the building is optimized, and the building power consumption is met while the building power consumption is met. The method can achieve the optimal economic benefit and guarantee the zero-carbon operation of the building, is used for the weekly operation energy optimization of the zero-carbon building, and improves the energy utilization efficiency.

The utility model relates to the technical field of wharfs, in particular to a novel zero-carbon wharf which comprises a wind driven generator, an energy storage device, a wave energy power generation device, a distributed photovoltaic panel and production and living electric equipment. The wind driven generator, the wave energy power generation device and the distributed photovoltaic panel convert wind energy, wave energy and solar energy into electric energy and store the electric energy in the energy storage device. The energy storage device supplies power to wharf production and living electric equipment; according to the zero-carbon wharf, renewable power generation facilities are adopted for collecting clean energy and converting the clean energy into electric energy to be supplied to the wharf, the clean energy is efficiently utilized, dependence on traditional energy is reduced, and self-sufficient and self-use of the wharf energy is achieved; power equipment such as wharf loading and unloading equipment and transportation machinery is adopted, energy is supplied to ships berthing to the harbor through the shore power system, the problem of tail gas emission is solved, meanwhile, the environmental noise of the wharf is reduced, and zero carbon emission of the wharf in the operation process is achieved.

The present application relates to a kind of methods for catalytically converting methane to olefins, aromatics and hydrogen in joule heat coupled metal catalytic reactor.The methane feed gas heated by hot joule heat is passed into metal catalytic reactor for catalytic conversion reaction to prepare olefins, aromatics and hydrogen using joule heat as heat source.The conversion rate of methane is 35-85%;The selectivity of olefins is 65-90%;The selectivity of aromatics is 13-40%;Zero carbon deposition.The present application has the characteristics of electric heating conversion efficiency > 90%, long catalyst life, high methane conversion rate and product selectivity, zero carbon deposition, catalyst does not need to be enlarged, small industrialization difficulty, good process repeatability, safe and reliable operation, etc., and has broad industrial application prospect.

The invention relates to the technical field of lighting devices, in particular to a zero-carbon lighting device and method suitable for a subway station, and the lighting device comprises an air duct pipe, fan blades, a transmission assembly, a power generation assembly and a lighting lamp; a left linear rail-mounted area air inlet is formed in one end of the air duct pipe, and a right linear rail-mounted area air inlet is formed in the other end; the left linear rail-mounted area air inlet and the right linear rail-mounted area air inlet are both inclined notches, the inclined notch of the left linear rail-mounted area air inlet is inclined towards the right side, and the inclined notch of the right linear rail-mounted area air inlet is inclined towards the left side; the fan blades are arranged in the air duct pipe and connected with the power generation assembly through the transmission assembly, and the power generation assembly is connected with the lighting lamp. The condition that the two rail-mounted areas of the subway station are communicated is fully utilized, the air duct pipe capable of being communicated with the two rail-mounted areas is arranged, the air duct pipe is obliquely arranged and inclines towards the train coming direction so that the air inlet of the air duct pipe can be located on the windward side, and air generated in a tunnel when a train enters and exits the station can drive fan blades in the air duct pipe to rotate; and electric energy is generated to be used by the illuminating lamp.

The invention relates to the technical field of zero-carbon buildings, in particular to a zero-carbon building digital twinborn model iteration method based on a dynamic knowledge graph, comprising the following steps: S1, collecting multi-source heterogeneous data in the running process of a zero-carbon building; s2, constructing a dynamic knowledge graph based on the multi-source heterogeneous data; s3, constructing a digital twinborn model based on the dynamic knowledge graph; s4, presetting a distribution control strategy in the digital twin model; s5, iterating the digital twin model in the S3 by using the operation data and the event log; a local controller autonomously executes ordered coordination and charge and discharge mutual exclusion control through a preset distributed control strategy, so that scheduling errors caused by misalignment of a central model are avoided, instruction competition of multiple controllers is eliminated, and high-frequency charge and discharge of energy storage equipment are fundamentally prevented to protect the service life of the energy storage equipment; and after the communication is recovered, the emergency operation data is further utilized to iterate the digital twin model.

The application discloses a multi-energy complementary zero-carbon campus AC / DC microgrid configuration method and system, relates to the technical field of communication network energy management, and comprises a photovoltaic power generation unit, a wind power generation unit, an energy storage unit and a communication base station load, specifically comprises the following steps: collecting system state data of the microgrid, wherein the system state data comprises real-time wind and light power generation power, an energy storage unit state of charge, base station load power demand and real-time carbon intensity information; based on the system state data, a base station microgrid multi-time scale optimization scheduling model is constructed by fusing dynamic carbon perception; by establishing a carbon flow tracking model and embedding it as an endogenous variable and a constraint condition into the optimization scheduling model, the operation optimization logic of the microgrid is fundamentally changed, carbon emission is changed from a post-event statistical index into a pre-event control target and a process constraint, and synchronous optimization and minimization of energy flow and carbon flow are realized.

The invention discloses a catalytic reaction system for zero-carbon fuel pretreatment and straw co-pyrolysis. The catalytic reaction system comprises a co-pyrolysis reaction furnace, a zero-carbon fuel pretreatment device, a straw treatment device, a condensation collection device and a heat energy recovery device, the co-pyrolysis reaction furnace is provided with a microwave generator, and the zero-carbon fuel pretreatment device and the straw treatment device are respectively communicated with the co-pyrolysis reaction furnace; the condensation collection device comprises a condensation box communicated with the co-pyrolysis reaction furnace through a smoke exhaust pipe, a condensation pipe arranged in the condensation box, an oil collection tank communicated with the condensation pipe and a gas collection tank communicated with the condensation box, and the heat energy recovery device comprises a water tank forming a circulation loop with the condensation pipe and one or more preheating water pipes led out of the circulation loop. And the heat exchange section of the preheating water pipe is arranged in the interior or the shell of the pretreatment device and the straw treatment device. Heat energy of oil gas is recycled, zero-carbon fuel and straw are preheated, the pyrolysis efficiency is improved, and meanwhile resource waste can be reduced.

The utility model discloses a zero carbon constant temperature's high pressure oxygen cabin system belongs to the plateau air conditioning technical field. The system includes photovoltaic power generation unit (1), power conversion unit (2), water electrolysis oxygen production unit (3), waste heat recovery unit (4), air source heat pump unit (5), low temperature heat storage unit (6), constant temperature regulation unit (7), oxygen purification unit (8), oxygen storage unit (9), high pressure oxygen cabin (10) etc. Zero carbon constant temperature's high pressure oxygen cabin system in the utility model is coupled with photovoltaic power generation, water electrolysis oxygen production, low temperature heat storage, solid state oxygen storage and other technologies, has the remarkable advantage of high energy utilization efficiency, whole process zero carbon emission, still configures the intelligent comprehensive energy management strategy, can realize the accurate, nimble control of hydrogen, heating in high pressure oxygen cabin, guarantees the in-cabin environment is suitable, improves the effect of high pressure oxygen therapy.

The application provides a kind of multi-element solid energy resource and the virtual power plant electric-carbon collaborative scheduling method, device and system of CCUS park, method includes: the construction of heterogeneous resource unified aggregation model library for virtual power plant;Based on each type of model in model library, the electric-carbon collaborative multi-time scale optimization scheduling model is constructed with the total running net income maximization of park virtual power plant in scheduling period as objective function, and with carbon emission budget as core constraint;Using distributed robust optimization method, the multiple uncertainty of scheduling model is improved;Based on the alternate direction multiplier method, the improved scheduling model is distributedly solved, the optimal scheduling instruction of each resource is generated, and the instruction is issued through the virtual power plant intelligent control platform.The application can realize the optimal scheduling of the deep cooperation of virtual power plant electric power flow, heat flow and carbon flow, significantly improve the economy, flexibility and robustness of system operation under the premise of guaranteeing the park net zero carbon target.

The application provides a SOFC-Allam coupled zero-carbon emission power cycle system, and belongs to the technical field of power cycle systems. The application at least partially solves the problems that the existing SOFC tail gas often contains incompletely utilized fuel, and the tail gas still contains a large amount of residual heat due to the high working temperature of the SOFC, which leads to low overall energy utilization rate of the SOFC and great influence of tail gas emission on the environment. The application comprises a working medium pretreatment unit, a fuel reforming unit, a solid oxide fuel cell and a tail gas energy recovery unit. The fuel reforming unit is connected with the working medium pretreatment unit. The tail gas energy recovery unit comprises a combustion device, a turbine and a turbine exhaust unit. The application uses turbine exhaust to heat the working medium through a preheater, improves the working medium temperature, and further improves the system efficiency. The heat energy of the turbine exhaust is recycled in multiple stages. The incompletely consumed fuel in the anode of the fuel cell is completely combusted in the burner, thereby avoiding fuel waste.

The utility model relates to a control device, in particular to a zero-carbon tower crane trolley control device for building construction based on a UWB (Ultra Wideband) technology. Comprising a connecting table, a supporting frame and a tower crane trolley, the supporting frame is connected to the upper portion of the right end of the connecting table, the tower crane trolley is slidably connected to the supporting frame, and the tower crane trolley comprises a moving frame, wheels, a retractable wheel, a connecting frame, a connecting plate and a positioning label; the left side and the right side of the middle of the movable frame are rotationally connected with the retractable wheels, positioning labels are arranged at the positions, close to the retractable wheels, of the front end of the movable frame, connecting frames are arranged on the front side and the rear side of the movable frame, connecting plates are slidably connected into the connecting frames, and the upper portions of the connecting plates abut against the supporting frame. According to the tower crane trolley, the connecting frame and other parts are designed on the movable frame, when wheels of the tower crane trolley break down, the connecting plate can be in direct contact with the supporting frame and bear the weight, and the trolley is prevented from falling off from the supporting frame.

The present application aims to provide a kind of ecological sensitive area near zero carbon road construction period carbon emission optimization method and system, it is related to carbon emission management technical field.The method includes: according to unit engineering demand, first position, construction position, first carbon emission factor, second carbon emission factor, required station, third carbon emission factor and clean energy supply information, determine optimization basic carbon emission amount;Get construction measure carbon emission and special carbon emission, and determine total carbon emission, further determine the type of target carbon fixation plant and the planting area of each target carbon fixation plant.According to the present application, the automation degree of calculation can be improved, the calculation efficiency and accuracy can be improved, and various carbon emission projects can be automatically optimized.When there are many carbon emission projects, the optimal scheme can be automatically screened, the carbon emission amount can be reduced, and the planting scheme of carbon fixation plant can be designed to effectively compensate for carbon emission, thereby effectively reducing carbon emission and achieving the goal of near zero carbon.

The present application relates to a kind of superfine industrial gypsum filler zero carbon flash production system, including steam system, crushing system, collection system;The steam system includes electric steam boiler, water softener, grinding system includes crushing chamber, Laval nozzle, grading device, auxiliary heater, collection system includes cyclone dust collector, bag dust collector, induced draft fan.The present application has the characteristics of high production efficiency, less site use, low production cost.

The present application relates to the field of water resource management, and particularly relates to a zero-carbon water resource comprehensive management system for agricultural irrigation areas, comprising: an irrigation area basic data calculation module which calculates soil latent heat flux and crop basic evapotranspiration of the irrigation area respectively according to detected air temperature, air pressure, solar radiation and wind speed; an irrigation area data prediction module which generates predicted water storage and utilization amount of the irrigation area through an irrigation area prediction model based on a ConvLSTM architecture; a water demand fusion prediction module which generates comprehensive predicted water demand of the irrigation area through a fusion mapping model based on a gating mechanism and multi-scale convolution; and a zero-carbon water resource management module which calculates predicted net irrigation amount of the irrigation area based on the comprehensive predicted water demand to perform irrigation management on photovoltaic water pumps and photovoltaic valves of the irrigation area. The present application improves the precision of water resource management of the irrigation area, optimizes the scheduling energy consumption of the zero-carbon photovoltaic water pumps and photovoltaic valves, and realizes the optimization of the zero-carbon transformation of the agricultural irrigation area from the head of irrigation energy consumption.

The primary energy sources for low / zero carbon intensity (green) hydrogen production, such as sunlight and wind, are inherently intermittent in duration and variable in strength. An integrated, dynamically controlled production process is needed for the optimization of continuous green hydrogen production. The process needs to manage this dynamic state on a frequent basis within a green hydrogen production process to assess impacts from incoming renewable energy through to the outgoing continuous (e.g., 24 hours per day and up to 365 days per year) production of both gaseous and liquid hydrogen. The process needs to manage operational performance and metrics continuously using the production facility configuration, renewable energy supply profiles and operational safety requirements together with the capability to adapt to a variety of external constraints, including weather variation, water supply variation and offtake requirements.