6results about How to "Improve emission reduction effect" patented technology

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 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.

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 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.