18results about How to "Improve emission reduction effect" patented technology

The invention discloses a knowledge graph-based prefabricated building construction period carbon emission quantification and prediction method, which specifically comprises the steps of S1, prefabricated building construction period carbon emission knowledge graph visualization research, S2, prefabricated building construction period carbon emission quantification research, S3, prefabricated building construction period carbon emission quantification case analysis, and S4, prefabricated building construction period carbon emission quantification prediction. S4, carbon emission prediction and research in the construction period of the fabricated building. According to the method, an influence factor system and an influence mechanism of the carbon emission in the construction period of the fabricated building are defined, and the source and proportion of the carbon emission of the construction module in each stage of the construction period of the fabricated building are defined; the carbon emission in the construction period of the fabricated building is predicted and researched based on four machine learning algorithms, the optimal prediction model is determined, the model refinement degree is high, the model boundary condition, the space-time process and the quantitative statistics module have small deviation from the actual situation of the fabricated building, the model parameters have the optimization iteration process, the stability is good, and the prediction accuracy is high.

The invention discloses a carbon quota constraint-based energy transformation optimization method and system. The method comprises the following steps of: firstly, acquiring energy data in a region; determining the total carbon quota and the overall optimization constraint condition of the region, determining an optimal carbon quota distribution mode by using a genetic algorithm by taking the minimum total pollutant emission reduction prediction cost in the region as an overall objective function, and constructing a path emission reduction cost prediction model; and finally, on the basis of the optimal carbon quota distribution mode, determining the carbon quota of each energy consumption type, predicting the emission reduction cost of each emission reduction path in each energy consumption type by using a path emission reduction cost prediction model, and sorting the predicted emission reduction cost of each emission reduction path from large to small. And selecting the emission reduction path corresponding to the lowest emission reduction cost as an energy transformation optimization scheme in the corresponding energy consumption types. According to the method, the emission reduction efficiency can be improved, and the maximum emission reduction effect can be achieved under the condition of limited carbon quota.

The invention discloses a key control and emission industry carbon quota optimal distribution method considering terminal bearing capacity, and relates to the technical field of carbon quota optimal distribution, and the method comprises the following steps: dynamically adjusting a distribution strategy according to different energy consumption characteristics under the terminal bearing capacity of each industry, so as to carry out the differentiated management and control according to the industry, and obtaining a fairness index; constructing a decision allocation model based on a multi-index method based on the fairness index to obtain an initial carbon quota amount; on the basis of a fairness principle, the effectiveness of a carbon quota allocation efficiency principle is considered, a ZSG-DEA method is introduced to obtain a key control and emission industry carbon quota allocation model based on the ZSG-DEA method, and key control and emission industry allocation efficiency evaluation is performed on an initial carbon quota quantity, so that optimized carbon quota of each industry is obtained. And policy reference is provided for the carbon quota allocation method of each industry in China.

The utility model discloses a hot air circulating device of a smelting furnace, which relates to the technical field of hot air circulating devices of smelting furnaces and comprises a furnace body, an emission reduction unit for filtering nitrogen oxides, an air blowing unit for improving the filtering effect and a circulating unit, a reaction box is installed on one side of the furnace body, a temperature control assembly is arranged at the lower end of the reaction box, a stirring unit used for evenly mixing hot air is arranged at the upper end in the furnace body, and a circulation unit is installed on the furnace body. The emission reduction unit comprises a box inlet air pipe mounted at the upper end in the reaction box, the air outlet end of the box inlet air pipe is connected with a transverse pipe, and air outlet holes are formed in the upper end of the transverse pipe at equal intervals; according to the utility model, by utilizing the Karman vortex street effect, flue gas is ejected upwards in a swinging manner, so that the contact area with ammonia, a catalyst and the like can be increased, and the comprehensiveness of catalytic reduction of nitrogen oxides is improved; ammonia is discharged from the ammonia outlet hole, and can enter the elliptic cylinder again from the ammonia collecting hole to circulate by utilizing the Bernoulli principle, so that the utilization rate of the ammonia is improved, and more cost is saved.

The invention relates to a volume bomb model for analyzing the ignition process of low-activity fuel, and the model comprises a volume bomb which is a cylinder or a semi-cylinder and is internally provided with a spraying hole assembly, and the axis of the spraying hole assembly is perpendicular to the axis of the volume bomb; the spraying hole assembly comprises an ignition spraying hole and at least one fuel spraying hole, the ignition spraying hole is formed in the eccentric position of the containing bomb, the fuel spraying hole is formed in the axis position of the containing bomb, and the spraying range of the ignition spraying hole at least partially coincides with the spraying range of the adjacent fuel spraying hole. According to the volume bomb model, the multiple fuel spraying holes are formed in the axis position of the volume bomb, the ignition spraying holes are formed in the eccentric position, and the axes of the ignition spraying holes intersect with the axes of the adjacent fuel spraying holes, so that first fuel beams sprayed out of the adjacent fuel spraying holes are directly ignited by the ignition fuel beams sprayed out of the ignition spraying holes; meanwhile, the second fuel beams sprayed out of the other fuel spraying holes are indirectly ignited, and direct ignition and indirect ignition can be studied at the same time; and the combustion problem of premixed dual fuels can be solved.

This invention relates to the field of flue gas pollution control technology in coal-fired power plants, and discloses a method for total pollutant emission reduction in an environmental protection island based on morphological transformation and residual compensation. The method includes: acquiring real-time operating data of a smart environmental protection island in a coal-fired power plant, generating a time-series feature vector, and setting inlet boundary conditions; constructing a pollutant morphological transformation mechanism model for each environmental protection subsystem, inputting relevant data and inlet boundary conditions, and calculating the theoretical baseline concentration of pollutants; using an LSTM as an error-compensated prediction model, after training with historical data, inputting the current operating condition time-series feature vector to obtain the concentration prediction residual value, obtaining the deviation between the historical training conditions and the current operating conditions, calculating the confidence factor, and generating a mixed pollutant prediction concentration; finally, using ammonia injection flow rate and other factors as optimization variables, setting constraints, and constructing an objective function with the lowest total cost to obtain the optimal control parameter set, thereby achieving optimized control and pollutant emission reduction of the environmental protection subsystem. This invention significantly improves the pollutant emission reduction effect.

This invention relates to the field of intelligent emission reduction technology, and discloses an intelligent generation method and system for emission reduction optimization strategies based on artificial intelligence. The method monitors actual carbon emission data and actual energy use data of a target area within a preset time period; based on the actual energy use data, corresponding predicted carbon emission data is obtained through a preset carbon emission prediction model; the difference index between the actual carbon emission data and the predicted carbon emission data is calculated to determine whether the target area meets preset carbon emission anomaly warning conditions; if so, the abnormal carbon emission factors of the target area are analyzed based on the difference index and the actual energy use data; and an emission reduction optimization strategy for the target area, including carbon emission optimization strategies and energy use optimization strategies, is generated based on the abnormal carbon emission factors, the actual carbon emission data, and the predicted carbon emission data. Therefore, implementing this invention can improve the timeliness and adaptability of the emission reduction optimization strategy generation while ensuring the accuracy of the generated strategy.

The invention discloses a carbon point management method, an uploading method, electronic equipment, energy storage equipment and a system, which are applied to the technical field of energy storage equipment. The method comprises the following steps: acquiring carbon neutralization information uploaded to a block chain node by energy storage equipment, wherein the carbon neutralization information comprises charging information of power generation equipment accessed by the energy storage equipment; and calculating a carbon integral corresponding to the energy storage equipment based on the carbon neutralization information, and storing the carbon integral to the block chain node. According to the carbon neutralization information uploaded by the energy storage devices to the block chain nodes, the carbon points of the energy storage devices are calculated, and the carbon points are stored to the block chain nodes, so that the reliability and traceability of the carbon points of the energy storage devices can be ensured, and the carbon points can obtain earnings on a carbon transaction platform, and therefore, when each user uses electricity, the user can obtain the carbon points of the energy storage devices. The electricity generated by the power generation equipment and stored in the energy storage equipment is used as much as possible, so that a user is stimulated to perform carbon neutralization behavior as much as possible, and the emission reduction effect generated by the carbon neutralization behavior of the energy storage equipment is improved.

The invention relates to a dynamic optimization method for industrial park carbon assets, and the method comprises the following steps: data collection and preprocessing: carrying out the data collection of various carbon emission sources in an industrial park, carrying out the preprocessing of the collected data, and eliminating the noise and abnormal values in the data; constructing a virtual mapping system: constructing the virtual mapping system of the industrial park by using a digital twinborn technology based on the preprocessed data; real-time simulation of a carbon emission scene: in the virtual mapping system, simulating the carbon emission scene in real time according to the operation state and the energy consumption data of the equipment; dynamic simulation of emission reduction schemes: presetting a plurality of emission reduction schemes, performing dynamic simulation on the plurality of emission reduction schemes in the virtual mapping system, and evaluating the emission reduction effect; and dynamic optimization of the carbon assets: according to the simulation result of the emission reduction scheme, carrying out dynamic optimization on the carbon assets of the industrial park, and selecting an optimal emission reduction scheme by comparing the emission reduction amount and cost of different emission reduction schemes so as to realize maximization of the carbon assets.

The invention discloses a low-carbon optimization control method, which comprises the following steps: acquiring related data of energy equipment and inputting the related data into an integrated energy system, constructing an IES model based on a carbon energy collaborative hub, and constructing a low-carbon optimization control model according to the IES model based on the carbon energy collaborative hub in combination with a preset objective function and constraint conditions, solving the low-carbon optimization control model by adopting an NSGA-II algorithm of an improved elite strategy to obtain an optimization control scheme; according to the method, the carbon reduction potential of each side of the source-load storage of the comprehensive energy system can be mined, carbon-energy collaborative optimization is realized, and the emission reduction effect of carbon emission is improved.

The invention discloses a method for preparing high-quality hydrogen by vacuum degree induced methane cracking, which comprises the following steps: 1) in a module methane decomposition reactor, performing methane cracking on a transition metal-carrier catalyst under carrier gas containing CH4 to generate H2 and a carbon-transition metal carrier mixture; 2) decarbonizing the carbon-transition metal carrier mixture in the presence of a gasifying agent to obtain a transition metal-carrier and CO decarbonized gas; high-temperature CO at an outlet is used for preheating CO2 at an inlet through a heat exchanger, so that heat can be utilized for many times; and circulating the decarbonized transition metal-carrier to the step (1), and circulating the steps to realize large-scale continuous cracking of methane to produce hydrogen. According to the invention, redundant CO2 is converted into valuable CO or a mixture of CO2 and CO. When pure CO2 is used as a raw material, carbon elements in the CO2 can be stored in the form of high-concentration CO through a reduction process; and efficient separation of the catalyst and carbon is realized through carbon gasification.

This invention discloses a method and electronic device for determining a carbon emission allocation strategy for a distribution network. The method includes: acquiring current operating data of the distribution network; determining the initial carbon emission factors of multiple load nodes in the distribution network for the current time period based on the current operating data, wherein the initial carbon emission factor represents the carbon emission amount corresponding to a unit of electricity used by the corresponding load node; determining an objective function based on the initial carbon emission factors of the multiple load nodes for the current time period; optimizing the initial carbon emission allocation strategy of the distribution network for the current time period with the minimum function value of the objective function as the optimization objective, to obtain the target carbon emission allocation strategy of the distribution network for the current time period. This invention solves the technical problems of insufficient feasibility of carbon emission allocation strategies and poor carbon reduction capacity of distribution networks caused by insufficient consideration of factors in carbon emission assessment of distribution networks in related technologies.

The application provides a method, system, device and medium for electric-thermal-hydrogen low-carbon operation balance, relates to the field of comprehensive energy system optimization and low-carbon scheduling, and comprises the following steps: obtaining comprehensive energy parameters of a park, inputting the comprehensive energy parameters into a preset upper economic operation model, calculating a minimum operation cost scheme, inputting the minimum cost scheme into a preset carbon emission factor composite model, calculating a carbon emission factor corresponding to the comprehensive energy, inputting the carbon emission factor into a preset lower carbon emission optimization model, and calculating a load corresponding to the minimum carbon emission; updating the upper economic operation model based on the load, generating a new minimum operation cost scheme, repeating the step of inputting the minimum operation cost scheme into the preset carbon emission factor composite model for iteration until a preset iteration condition is reached, obtaining a device output scheme corresponding to the minimum cost and minimum carbon emission balance, and obtaining a carbon emission mapping from a power source to a terminal.

The utility model relates to the field of building construction equipment, in particular to a building environmental protection and emission reduction device which comprises a machine box and a spraying machine rotationally connected to the top end of the machine box, an adjusting box is fixedly connected to the top of the machine box, a gear is rotationally connected to the top end in the machine box, and the top of the gear penetrates through the machine box to be fixedly connected with the spraying machine. An electric telescopic rod is fixedly connected to the inner side of the case in a penetrating mode, a sliding block is fixedly connected to the output end of the electric telescopic rod, a rack meshed with the gear is slidably connected to the top end in the case, the sliding block is fixedly connected to the middle of the side wall of the rack, a plurality of sets of travel switches are arranged in the case, and a connecting rod is fixedly connected between each set of travel switches; according to the dust reduction device, the dust reduction range of the emission reduction device can be adjusted in a multi-stage mode according to the size of a construction site, the phenomenon of waste of dust reduction water can be reduced, and the emission reduction effect of the device can be effectively improved.

The invention provides an enterprise-level carbon popularity behavior quantitative excitation and management system, and relates to the field of enterprise-level carbon popularity behaviors. The enterprise-level carbon popularity behavior quantitative excitation and management system comprises a system overall architecture, a low-carbon scene recognition module, a behavior quantification module, a carbon point management module, an excitation measure module and a data statistics and report module, and the system overall architecture adopts a cloud-based service architecture. The low-carbon scene recognition module defines and recognizes low-carbon behaviors through user behavior data. The data processing efficiency of the whole system is improved through automatic data acquisition of the Internet of Things technology, so that resource allocation and strategy making are optimized, a user can immediately see a direct result of a low-carbon behavior of the user, and instant feedback is a key factor for stimulating continuous participation and behavior change, so that a single behavior is awarded, and the user experience is improved. And continuous environmental protection behaviors are encouraged, and long-term environmental responsibility is promoted.

The invention belongs to the field of microorganisms and discloses a greenhouse gas emission reduction inhibitor and its application in livestock and poultry breeding bedding. The greenhouse gas emission reduction inhibitor provided by the invention couples a methane oxidizing strain with a nitrous oxide inhibitor. The strain G-5 with methane oxidizing activity is Bacillus velezinoffe. Bacillus from Velez , G-5 can grow with methane as the only carbon source and oxidize methane; the chemical reagents with nitrous oxide inhibition are superphosphate, n-butylthiophosphoric triamide, and dicyandiamide, which can effectively reduce the loss of N in the breeding litter. The greenhouse gas emission reduction inhibitor of the present invention has a methane emission reduction rate of 34.18% and a nitrous oxide emission reduction rate of 37.26%, which can effectively reduce greenhouse gas emissions.

The present invention relates to the technical field of power optimization and dispatching, and in particular to a multi-microgrid transaction optimization method, system, device and medium; the method firstly establishes a ladder-type carbon transaction cost calculation model in a free allocation manner; secondly, a low-carbon economic dispatching model is established based on the ladder-type carbon transaction cost calculation model to calculate the surplus and shortage after dispatching; then, a clearing price model is established based on the surplus and shortage, a new surplus and shortage is calculated, and the surplus and shortage of the microgrid is updated based on the new surplus and shortage; finally, the low-carbon economic dispatching model is solved based on a distributed algorithm to obtain an optimized transaction strategy; there is no need to transmit a large amount of data, which improves the reliability of system operation and ensures the privacy of each microgrid.

The invention provides an after-treatment system and a vehicle with the same, and relates to the technical field of tail gas treatment. The post-treatment system comprises a urea tank, the urea tank is connected with the frame, the urea tank is provided with a containing cavity, and urea liquid is stored in the containing cavity; one end of the preceding-stage urea nozzle communicates with the containing cavity through a urea pipeline, the preceding-stage urea nozzle is provided with a preceding-stage nozzle, and the preceding-stage nozzle is arranged in an exhaust pipeline of the engine; one end of the rear-stage urea nozzle is communicated with the containing cavity through a urea pipeline, the rear-stage urea nozzle is provided with a rear-stage nozzle, and the rear-stage nozzle is arranged in an exhaust pipeline of the postprocessor; wherein the front-stage urea nozzle and the rear-stage urea nozzle are connected in parallel through a urea pipeline, the front-stage urea nozzle and the containing cavity are connected through a gas path pipeline, and the urea spraying operation and the gas path reverse blowing operation of the front-stage urea nozzle and the rear-stage urea nozzle are independently controlled. The problems that an after-treatment system is complex in structure, low in conversion efficiency and high in cost are solved.