22results about How to "Lower emission levels" patented technology

The invention provides an energy-saving, carbon-reducing and synergistic technical path optimization method for a steel production system. The method comprises the following steps: establishing a steel production process mechanism and data driving hybrid model; accounting heat, energy, # imgabs0 # quantity and pollutants on the basis of a steel production process mechanism and a data driving hybrid model, and performing process connection to form a steel production system simulation model; on the basis of the steel production system simulation model, a value flow analysis model is embedded, and steel production system value flow accounting is carried out; on the basis of the steel production system simulation model, embedding low-carbon, zero-carbon and negative-carbon technologies in a substance or energy connection mode, and establishing a steel production system coupling carbon reduction technology simulation model; setting an optimization target of the coupling carbon reduction technology simulation model of the steel production system; and optimizing the material energy input parameter variable, the process operation parameter variable and the technical application parameter variable by adopting a U-NSGA-III method to obtain a technical optimization path of the steel production system.

The present invention relates to the technical field of fluidized bed combustion furnaces, and in particular provides an intelligent and clean biomass fluidized bed combustion furnace. The intelligent and clean biomass fluidized bed combustion furnace includes an installation component, a mixed flow component, a feed component, a combustion furnace and an exhaust gas circulation component. The present invention can provide a uniform and continuous gas supply flow and biomass fuel to the combustion furnace, ensure the uniformity of the temperature of the combustion process in the combustion furnace, and use the gas supply flow to preheat and dry the biomass fuel, improve the combustion efficiency, reduce the influence of moisture on the combustion process, reduce fuel consumption and flue gas emissions, and improve the removal efficiency of sulfur dioxide in the flue gas, reduce the emission level of sulfur dioxide, and effectively control the generation of nitrogen oxides, improve energy efficiency, reduce energy waste, ensure that the combustion process is environmentally friendly and meets emission standards, and separate particulate matter from the initial combustion smoke generated by combustion, significantly reducing the pollution concentration of particulate matter in combustion emissions, meeting environmental protection requirements.

The invention provides a multi-level cooperative regulation and control method and system based on a data center dynamic load, and relates to the technical field of IT infrastructure low-carbon. In the method provided by the invention, non-real-time tasks matched with power consumption are obtained according to the generated power of renewable energy sources accessed by a user layer data center; the matched non-real-time task is operated by using the electric energy generated by the renewable energy source, so that the low-carbon requirement in the operation process of the user layer data center is met; meanwhile, unmatched non-real-time tasks are suspended to a waiting queue, and the non-real-time tasks reaching a waiting time threshold in the waiting queue are migrated to a user layer data center of a regional level or an overall level by utilizing a task space scale; the electric energy of the renewable energy accessed by the user layer data center of the regional level or the overall level is used for power supply and operation, so that the electric energy generated by the renewable energy is timely consumed, and the electric energy generated by the renewable energy is prevented from being wasted.

The invention relates to a fishing-light-storage complementary system operation double-layer optimization method, which comprises the steps of collecting parameter data of photovoltaic equipment and energy storage equipment, selecting bait casting equipment, an aerator and irrigation and drainage equipment as loads, and constructing a fishing-light-storage complementary system model; constructing a fishing light storage complementary system net load upper-layer objective function considering the light abandoning rate, and carrying out optimization solving to obtain the net load and the energy storage charging and discharging power of the system in each time period; performing grid-connected risk safety judgment on the photovoltaic system, and if the grid-connected risk safety is not met, increasing the light abandoning rate to perform optimization solution again; and if yes, constructing a fishery, photovoltaic and energy storage complementary system low-carbon economic operation lower-layer objective function which considers the lowest carbon emission and comprehensive operation cost, and performing optimization solution to obtain the output power of each photovoltaic device and energy storage device. Compared with the prior art, the photovoltaic absorption rate, the system operation economy and the energy utilization efficiency can be effectively improved and the carbon emission can be reduced on the premise of meeting constraints such as system load requirements and safe operation.

The invention discloses a low-temperature low-nitrogen double-air-regulation green ammonia fire coal composite combustion device which comprises an ammonia output assembly, a primary air powder conveying assembly, a secondary air conveying assembly and a tertiary air conveying assembly. The primary air powder conveying assembly, the secondary air conveying assembly and the tertiary air conveying assembly are arranged on the periphery of the ammonia output assembly from inside to outside. One end of the ammonia pipe is communicated with the output end of the green ammonia synthesis device, the other end of the ammonia pipe is communicated with the ammonia speed reducing and pressurizing device through an ammonia introduction pipeline, and a green ammonia introduction valve is arranged on the ammonia pipe; an ammonia combustion-supporting air supply outlet is formed in a shell of the combustion device; the ammonia speed reducing and pressurizing device is a cylinder with a through hole formed in the axis, and the through hole serves as a hot air channel for outputting combustion-supporting air from the center to the backflow area; the ammonia speed-reducing supercharging device is of a box body structure, and the end face of the output end of the ammonia speed-reducing supercharging device is fixedly connected with an ammonia combustion nozzle; and the ammonia venturi tube and the primary air powder inner tube are sequentially and coaxially arranged on the periphery of the ammonia speed reducing and pressurizing device from inside to outside. According to the multi-stage air distribution device, multi-stage air distribution can be achieved, fire coal consumption and carbon emission are reduced, low-temperature, low-nitrogen and homogeneous-like combustion can be achieved, and NOx emission is reduced.

The invention discloses a construction method of a power grid carbon emission distribution network model. The construction method comprises the steps of obtaining node load data, generating capacity data and branch data of a power grid; forming an original data set and a load flow calculation result according to the data, and establishing a network topology model according to the original data set and the load flow calculation result; equivalently transplanting the loss power of each branch in the network topology model to a corresponding upstream node, keeping the size and direction of the power flow of each branch unchanged, and updating the network topology model; and based on the updated network topology model, constructing a carbon emission distribution network model in combination with a proportion sharing principle. According to the method, through real-time data acquisition, network topology modeling, carbon emission flow calculation and optimization solution, the carbon emission in the power system can be accurately quantified, and a scientific basis is provided for low-carbon scheduling and policy making of the power industry.

The invention discloses a fire grate, a combustor and a water heater, and relates to the technical field of water heaters, and the fire grate comprises a fire grate body and a spoiler. The fire grate body is provided with an air inlet runner and a mixing cavity, the mixing cavity is provided with an air outlet and communicates with the exhaust end of the air inlet runner, and an air inlet is formed in the air inlet end of the air inlet runner; the flow disturbing piece is arranged in the air inlet flow channel and comprises a flow disturbing body and a flow guiding part, the flow disturbing body is provided with a flow disturbing groove formed in a penetrating mode, the flow guiding part corresponds to the flow disturbing groove, the flow disturbing groove is used for dispersing and disturbing air flow flowing through the flow disturbing body, and the flow guiding part is used for guiding the air flow to flow from the flow disturbing groove to the mixing cavity. According to the technical scheme, the mixing uniformity of fuel gas and air in the fire grate can be enhanced, the stoichiometric ratio of the fuel gas at the fire grate outlet is reduced, the local high temperature phenomenon is avoided, and then flue gas emission of pollutants such as CO and NOx is reduced.

This disclosure provides a method, apparatus, device, storage medium, and program product for selecting a last-mile delivery station, which can be applied in the field of computer technology. The method includes: acquiring first travel characteristic data of the pickup party from a first starting point to multiple candidate stations; acquiring second travel characteristic data of the sender from a second starting point to multiple candidate stations; determining the influence coefficients corresponding to multiple sets of travel distance data and multiple sets of delivery distance data; and determining a target last-mile delivery station from multiple candidate stations based on the influence coefficients, the multiple sets of travel distance data, and the multiple sets of delivery distance data, wherein the influence coefficients are determined by a pre-trained prediction model.

The invention discloses a large LNG storage tank pearlife field expansion filling construction method which comprises the steps that an expansion furnace, a dust remover, a pneumatic conveying device and other equipment are installed on a construction field, perlite raw ore sand is transported to the construction field to be subjected to expansion treatment, and a cold insulation layer of a storage tank is filled with expanded pearlife through the pneumatic conveying device; and a good effect can be achieved. The on-site expansion filling method achieves synchronous operation from machining to filling, and the construction period is greatly shortened. Loss and damp risks of materials in the transportation and storage process are reduced, and the overall construction cost is reduced. The pneumatic conveying device is adopted for filling, the situation that gaps or uneven accumulation occurs in the pearlife filling process is effectively prevented, it can be guaranteed that the pearlife is evenly distributed in a cold insulation layer of the storage tank, the cold insulation effect is improved, dust pollution to the environment is reduced, and construction safety is improved.

This invention discloses a demand response scheduling method and system that considers the fairness of nodal carbon potential location, belonging to the field of low-carbon optimization scheduling technology. The demand response scheduling method considering the fairness of nodal carbon potential location includes: establishing a comprehensive energy system equipment model and a distribution network carbon emission flow model; establishing a hybrid index model considering the fairness of nodal carbon potential location; establishing a load-side dynamic demand response model based on the hybrid index model to generate carbon price signals; constructing a two-stage low-carbon optimization scheduling model considering the uncertainty of renewable energy output, with system operating costs, nodal carbon potential location fairness index, and carbon emission costs as optimization objectives. The optimal scheduling scheme is obtained through iterative solutions by determining unit output plans in the pre-scheduling stage and adjusting load distribution in the subsequent scheduling stage. This invention reduces system operating costs, achieves refined allocation and fair control of carbon emission responsibility in the comprehensive energy system, and improves the overall low-carbon operation level and the degree of reasonable carbon responsibility sharing of the system.

This disclosure provides a method, apparatus, device, storage medium, and program product for selecting a last-mile delivery station, which can be applied in the field of computer technology. The method includes: acquiring first travel characteristic data of the pickup party from a first starting point to multiple candidate stations; acquiring second travel characteristic data of the sender from a second starting point to multiple candidate stations; determining the influence coefficients corresponding to multiple sets of travel distance data and multiple sets of delivery distance data; and determining a target last-mile delivery station from multiple candidate stations based on the influence coefficients, the multiple sets of travel distance data, and the multiple sets of delivery distance data, wherein the influence coefficients are determined by a pre-trained prediction model.

The invention relates to the technical field of satellite control systems, provides a miniature electromagnetic valve propulsion system, and solves the problem that normal operation of a propeller control system is affected by inaccurate data processing due to influence of factors such as noise and temperature in a signal conversion process. According to the method, historical data of an electromagnetic valve are processed in different periods, a control model with a specific period is constructed, prediction of a real-time flight control command and engine performance simulation are achieved, and through comparison of real-time data and prediction data, the performance of a propeller is influenced, and driving power cannot be provided for a satellite. And the system can find and process abnormal data in time, so that the engine control system can operate normally. According to the invention, the accuracy of data processing is improved, the real-time monitoring and optimization of the performance of the propeller are realized, and the stability of satellite flight is improved.

The invention discloses a heavy duty gas turbine low-nitrogen combustion system and a control method, and relates to the technical field of gas turbine combustion, the system comprises a gradient aperture fuel nozzle, a self-adaptive premixing section, a dual-mode on-duty combustor and a steam dilution system; inlets of the gradient aperture fuel nozzles and the dual-mode on-duty burner are connected with the fuel distributor, the gradient aperture fuel nozzles are distributed in the circumferential direction of the head of the combustion chamber, outlets of the gradient aperture fuel nozzles are connected with the self-adaptive premixing section, the self-adaptive premixing section is connected with the combustion chamber, and the dual-mode on-duty burner is arranged in the center of the combustion chamber. A plurality of spray holes are formed in the wall surface of the gradient aperture fuel nozzle blade, and the apertures are gradually reduced along the fuel flowing direction; the self-adaptive premixing section comprises a front fuel section and a rear mixing section, the front fuel section is provided with guide vanes, and turbulent flow ribs are arranged on the inner wall of the rear mixing section. According to the control method, efficient and clean operation is achieved by obtaining operation data, digital twin model analysis and reinforcement learning optimization parameters.

A regional integrated energy system economic dispatch method for carbon capture equipment and solar thermal power stations considering comprehensive demand response, establishing an electric and thermal integrated demand response model, solving the electric and thermal load data after the response; establishing a combined heat and power solar thermal power station equipment operation model, analyzing the light-electricity-heat multi-energy conversion characteristics of the model; establishing a power-to-gas-carbon capture gas power plant coordinated operation model, analyzing the model's wind abandonment, carbon recycling and complementary utilization of raw materials process; establishing a fuzzy membership model of wind and solar uncertainty, analyzing the deterministic conversion process of fuzzy opportunity constraints; with the goal of minimizing the total operating cost considering wind abandonment cost and carbon benefit, establishing an economic dispatch model for a regional integrated energy system containing fuzzy opportunity constraints, and optimizing the solution to obtain the most economic dispatch method. The method of the present invention realizes the coordinated operation of P2G-CCGPP and CHPCSP, and can effectively improve the operating economy of RIES while achieving a high level of wind power consumption and system energy conservation and emission reduction.

This invention discloses a combined cooling, heating, and power (CCHP) system, relating to the field of solar energy utilization technology. It includes an energy storage medium, a heat collection subsystem, a supercritical organic Rankine cycle (SOCCR) subsystem, and a refrigeration subsystem. The SOCCR subsystem can output electricity and heat load; the refrigeration subsystem can output cooling load. The energy storage medium can be heated in the heat collection subsystem. Energy storage medium leaving the heat collection subsystem can enter the SOCCR subsystem, providing a first driving heat energy for the SOCCR subsystem's output of electricity and heat load. Energy storage medium leaving the SOCCR subsystem can enter the refrigeration subsystem, providing a second driving heat energy for the refrigeration subsystem's output of cooling load. This invention can improve energy conversion efficiency.

The invention relates to the technical field of combustion chambers, and provides a dual-fuel center staged multi-flame combustion chamber which comprises a combustion chamber body, a pre-combustion stage device, a first main combustion stage device and a second main combustion stage device, and the pre-combustion stage device, the first main combustion stage device and the second main combustion stage device are arranged at the front end of the combustion chamber body; the pre-combustion stage device comprises a pre-combustion stage assembly and a pre-combustion mixing chamber, the pre-combustion mixing chamber communicates with the combustion chamber body, a first channel and a second channel are arranged in the pre-combustion stage assembly, the first channel communicates with the pre-combustion mixing chamber, the first channel, the pre-combustion mixing chamber and the combustion chamber body are coaxially arranged, and first fuel enters the pre-combustion mixing chamber through the first channel; the pre-combustion mixing chamber is arranged on the periphery of the second channel, the second channel communicates with the pre-combustion mixing chamber, and second fuel enters the pre-combustion mixing chamber through the second channel; a third channel is arranged in the first main combustion stage device, a fourth channel is arranged in the second main combustion stage device, the fourth channel is communicated with the third channel, and the third channel is communicated with the combustion chamber body.

The application discloses a park heat energy grade layering matching and full privacy protection multi-agent energy-carbon collaborative scheduling method, relates to the technical field of comprehensive energy system operation and control, and comprises the following steps: S1: according to the temperature range, heat energy is divided into multiple grade levels, and actual heat of different grades is converted into equivalent work for representing the quality value; S2: a multi-agent energy-carbon collaborative optimization scheduling model is constructed, which comprises a local optimization objective function of each agent, a local constraint condition and a multi-agent global coupling constraint; S3: an alternating direction multiplier method is adopted, and only coupling variables are exchanged between each agent and a park collaborative layer for iterative solving, so that the multi-agent energy-carbon collaborative optimization scheduling model is solved under the premise of protecting the internal data privacy of each agent, and an optimal collaborative scheduling strategy is obtained. Therefore, the overall heat energy utilization efficiency of the park is significantly improved, and the collaborative optimization of energy efficiency and carbon emission reduction is realized.

The present invention discloses a megawatt-class hydrogen-mixed combustion engine control system and control method, which relates to the field of hydrogen combustion engine control technology, including a fuel management unit and an intelligent control unit, wherein the fuel management unit includes a fuel component detection and adjustment module and a hydrogen premixing control module; the intelligent control unit includes an intelligent ignition control module, a piston displacement tracking injection control module, an in-cylinder pressure feedback control module, and an emission monitoring and control module. The present invention realizes comprehensive monitoring and control of the engine operating state, improves combustion efficiency and power output, and reduces the emission level of emissions, thereby achieving the purpose of energy saving and environmental protection.

The invention relates to the technical field of glass fiber melting processing, in particular to a glass fiber tank furnace hydrogenation burner which comprises a heating frame, the front end and the rear end of the heating frame are each provided with a plurality of burners evenly arranged in the left-right direction, a blocking plate is fixedly installed in the heating frame, and a square plate is jointly and fixedly installed between the right side of the upper end of the blocking plate and the heating frame. The left inner wall of the heating frame and the opposite side of the square plate are jointly provided with a shifting unit, the shifting unit is provided with two pushing units which are symmetrically arranged front and back, and the right inner wall of the heating frame and the opposite side of the square plate are jointly provided with an impurity removal unit; the hydrogenation burner is adopted to heat and melt the glass raw material, so that the energy efficiency is improved, the production cost of the glass fiber is reduced, the environmental pollution is reduced, and meanwhile, when most of the glass raw material is melted into molten glass, the unmelted glass raw material can be pushed to the position close to the burner to be quickly melted, so that the production efficiency is improved. And the melting efficiency of glass raw materials is improved.

This invention discloses a low-carbon control method for the linkage of waste heat recovery and air conditioning system in data centers, relating to the field of energy-saving and low-carbon control technology for data centers. The specific steps of this method are as follows: S1, collecting real-time and historical operating data of server racks, central cold and heat sources, pipe networks, outdoor environment, and power grid, standardizing and cleaning them to form a full-chain thermal state dataset; S2, using the full-chain thermal state dataset from step S1 to build a time-series neural network for prediction. The prediction model input layer receives the time-series sequence of server rack computing power load, the time-series sequence of server rack waste heat medium temperature and flow rate, and the time-series sequence of outdoor temperature and humidity as input features to predict future operating parameters. This invention constructs a complete thermal state dataset through full-chain multi-dimensional data collection and standardized processing, combined with a rolling time-series prediction model to predict the changing trends of server room heat, heat exchange, and outdoor environment in advance, and dynamically divides the waste heat value time period based on the waste heat value quantification model to form a global cold and heat resource prediction system.

The invention discloses a photo-thermal coupling power generation and energy storage system and method, and the system comprises a photo-thermal circulation unit which comprises a heat collector, a photo-thermal circulation pump, a high-temperature heater and a medium-temperature heater; the steam power circulating unit comprises a high-temperature heater, a steam turbine, a condenser and a circulating water pump; the energy storage branch comprises an air compressor, a cooler and an air storage; the power generation branch comprises an air turbine, a medium-temperature heater and a gas storage, and a cooler, a condenser, a steam turbine and an air compressor are sequentially connected to form a closed loop. The system has a photo-thermal coupling power generation mode, a photo-thermal coupling power generation energy storage mode, a photo-thermal coupling power generation-energy storage-adjustment mode, an energy storage adjustment mode, an enhanced photo-thermal coupling power generation mode and a power generation adjustment mode. Meanwhile, the working mode of the system can be adjusted according to power demand changes, and high flexibility is achieved.

The invention discloses a multi-layer multi-swirl combustion system, an engine and a vehicle, the multi-layer multi-swirl combustion system comprises a combustion chamber and a hot EGR assembly, the combustion chamber comprises combustion sub-chambers which are arranged in a mirror image mode, each combustion sub-chamber is provided with a plurality of swirl areas and a plurality of collision areas, every two adjacent swirl areas are connected through the corresponding collision area, and each collision area is connected with the corresponding combustion sub-chamber. The surface of the collision area is higher than the surface of the entrainment area; the hot EGR assembly comprises an EGR pipeline, and the EGR pipeline is connected with the exhaust end of the combustion chamber so that part of waste gas generated by the combustion chamber can be fed into an intake manifold. The technical problems that in the prior art, due to the fact that a cold EGR system is adopted, the cost is high, and the heat efficiency of an engine is possibly affected are solved through the multiple rolling flow areas, the multiple collision areas and the hot EGR assembly. And the technical problems of high particle emission and high engine oil dilution risk caused by the fact that an existing combustion chamber cannot guarantee the top oil-gas mixing quality are solved.