4results about How to "Raise emission levels" patented technology

The invention provides a college campus planning and design multi-objective optimization method based on cGAN and NSGA-II, and the method specifically comprises the steps: obtaining a large number of existing different campus planning and design related data, and carrying out the correlation of the data with corresponding carbon emission and incremental cost data, and forming a model data set; inputting the model data set into a pre-constructed cGAN model for training, and optimizing an initial campus planning and design scheme output by the cGAN model through an NSGA-II algorithm; and performing optimization adjustment and scheme visual display on the cGAN model based on the target campus planning design. The college campus carbon emission level and incremental cost collaborative optimization model constructed by the invention provides scientific decision support for an architect to fully consider the balance between the carbon emission reduction performance and the economic benefit in a scheme stage, and is helpful to further realize a campus carbon neutralization construction plan.

The utility model belongs to the field of waste incineration power generation, and relates to a dust reduction and synergy device for a waste incineration boiler, which comprises two dust reduction and synergy device bodies respectively arranged on two sides of a flue outlet of a waste heat boiler, and a coal economizer communicated with the two dust reduction and synergy device bodies, the waste heat boiler flue comprises a first flue, a second flue and a third flue which are sequentially communicated with the waste heat boiler, and air inlets of the two dust reduction and efficiency improvement device bodies are respectively communicated with the third flue through a fourth flue; the economizer is communicated with the two dust reduction and efficiency improvement device bodies through connecting pipelines, and the tail end is connected with a flue gas purification system. According to the utility model, the dust content of the flue gas at the outlet of the waste incineration boiler is reduced, the fly ash yield is reduced from the source, the fly ash disposal cost is further reduced, and the land landfill pressure is relieved; the economizer heat exchange efficiency is improved; the deacidification efficiency and the service life of a cloth bag are improved, and the resistance of a flue gas purification system is reduced; and the flue gas pollutant emission level of the waste incineration plant is improved.

This utility model discloses an engine cylinder head and its electronic fuel injection system, including a cylinder head body. The cylinder head body has an intake manifold, an exhaust manifold, and a connecting surface for connection and mating with the engine block. The cylinder head body has a fuel jet channel communicating with the intake manifold. A cylinder head fuel jet clearance groove is provided on the inner wall of the intake manifold near the inner end of the fuel jet channel. An intake valve is installed on the cylinder head body, with its valve head installed in an intake valve seat hole. An intake pipe is installed on the cylinder head body on one side of the intake manifold. An injector seat is provided on the intake pipe, and an injector mounting hole communicating with the fuel jet channel is provided on the injector seat. An injector is installed in the injector mounting hole, and the linear distance between the injector nozzle and the center of the valve head is 70mm to 110mm. By precisely defining the position and mating relationship between the components, the overall performance of the engine is maximized.

The application discloses a kind of coal-fired boiler biomass blending combustion feeding system and collaborative control method using existing coal storage facilities, it is related to the automatic control technical field of coal-fired boiler biomass coupling blending combustion, the system includes: acquisition and analysis module acquires the time series data of multiple devices, analyzes fuel stratification information and receives adjustment parameter;Stratification proportioning calculation module accounts for blending ratio, generates basic feeding instruction;Disturbance complex correction module quantifies disturbance and corrects instruction;Variable load collaborative decision module issues fuel feeding instruction in combination with load and storage material;Closed-loop feedback optimization module iteratively updates various parameters according to boiler data and feeds back each module;The application adopts disturbance correction, variable load decision and closed-loop iteration multilayer regulation and control, quantifies various discharging disturbances and corrects feeding instruction, adjusts variable load feeding under working condition, relies on operating data to update parameters autonomously, adapts to working condition dynamic change, reduces manual setting, stabilizes combustion and controls pollutant emission.