1819 results about "Combustion system" patented technology

The invention relates to the field of power equipment control data processing, in particular to a boiler combustion optimization control method based on data driving, which comprises the following steps of: acquiring multi-source data such as temperature field distribution, air and smoke pressure, smoke components and coal quality characteristics, and eliminating noise interference by adopting sliding window mean filtering; generating a standardized feature matrix in combination with principal component analysis and a dynamic time warping algorithm; constructing a dynamic coupling model fusing a gradient boosting decision tree and a long short-term memory network, analyzing a nonlinear relationship between pulverized coal particle size distribution and a wind-coal ratio, and predicting combustion efficiency, pollutant concentration and temperature field uniformity; and model parameter self-correction and weight dynamic adjustment are triggered through actual combustion data feedback, and a closed-loop control link is formed. According to the method, accurate modeling of the multi-physical field coupling characteristic of the combustion system is achieved, the time sequence generalization ability under the dynamic working condition is improved, and the purposes of heat efficiency improvement and pollutant emission reduction are effectively balanced.

The invention discloses a boiler combustion optimization method and device based on CFD numerical simulation and a medium, and belongs to the technical field of boiler combustion simulation. The method comprises the steps of obtaining operation parameters and historical operation data of a boiler combustion system; processing the data based on a three-dimensional modeling algorithm to generate a three-dimensional combustion model of the combustion area of the boiler; the three-dimensional combustion model is processed based on a CFD numerical simulation algorithm, and multi-physical field coupling data of the combustion process is generated; processing the multi-physical field coupling data and the historical operation data based on a multi-objective optimization algorithm to establish a combustion parameter optimization model; adjusting the ratio of the air speed at the inlet of the combustor to the fuel flow to update the model and optimize combustion parameters; verifying whether the optimized combustion parameters meet constraint conditions or not; and when the constraint conditions are met, finally optimized combustion parameters are output. By means of the method, multi-physical-field dynamic coupling optimization in the boiler combustion process is achieved, and the purposes of synchronously improving the combustion efficiency and the pollutant control effect are achieved.

The invention discloses a thermal power generating unit frequency modulation and peak regulation performance optimization method, system and device and a storage medium, and relates to the technical field of thermal power generation control, and the method comprises the steps: obtaining historical working condition data of a thermal power generating unit, building a target prediction model based on the historical working condition data, inputting real-time working condition data to the target prediction model, the method comprises the following steps: determining prediction signals of future coal as fired quantity and pulverized coal flow velocity and load variation of a thermal power generating unit, determining delay information between a coal as fired quantity signal and a pulverized coal flow velocity signal according to the prediction signals and corresponding actual signals, compensating system response lag time difference based on the delay information, and determining the coal as fired quantity according to the load variation. Determining adjustment values of the coal as fired and the air volume, and adjusting the coal as fired and the air volume in real time based on the adjustment values; and on the basis of a cascade control strategy, the air powder flow speed and the air powder temperature of the boiler are adjusted in real time, rapid response to dynamic changes of a combustion system is achieved, and the adjusting capacity of a thermal power generating unit under frequent load fluctuation is improved.

The invention relates to the technical field of combustion system optimization, and discloses a gas turbine combustion chamber outlet temperature distribution rapid prediction method and related equipment. The method comprises the following steps: collecting combustion chamber outlet temperature distribution data obtained through a CFD experiment mode; performing main mode extraction on the combustion chamber outlet temperature distribution data based on intrinsic orthogonal decomposition to obtain a POD coefficient matrix and a POD mode matrix; performing statistical fitting on the POD coefficient matrix by using a deep neural network, and establishing a POD coefficient prediction model; constructing an outlet temperature prediction model based on a parameterized reduced-order model based on the POD coefficient prediction model and the POD modal matrix; and utilizing the outlet temperature prediction model to perform rapid simulation prediction on the outlet temperature distribution of the combustion chamber under the combustion parameters to be optimized. According to the method, the calculation cost and time consumption of engine combustion chamber simulation can be effectively reduced, meanwhile, high simulation precision is kept, and powerful support is provided for optimization design of an advanced combustion chamber.

Combustion systems and associated methods are disclosed herein. In some embodiments, a combustion system comprises a first combustion zone, a second combustion zone downstream of the first combustion zone, and a heat module thermally coupled to the first combustion zone and / or second combustion zone. The first combustion zone is configured to (i) receive and combust preheated air and a first fuel and (ii) generate a first exhaust gas, and the second combustion zone is configured to (i) receive and combust the first exhaust gas and a second fuel and (ii) generate a second exhaust gas. The first exhaust gas can have a first excess air and the second exhaust gas can have a second excess air less than the first excess air. The heat module can comprise a thermionic converter or another heat-to-electricity converter able to generate a power output.

Disclosed is a mixed combustion system fueled with ammonia, hydrogen and natural gas, which comprises a furnace chamber, a combustor, a heat exchanger, a mixer and a storage tank, the combustor and a conical combustion cavity are installed in the furnace chamber, the storage tank is provided with a first branch pipeline through a conveying pipe to be connected with the heat exchanger, the heat exchanger is connected with an inlet of the mixer, and an outlet of the mixer is connected with a fuel inlet of the combustor; and the conveying pipe is provided with a second branch pipeline connected with an ejector port of a first ejector, the first ejector is installed on a flue gas recirculating pipe connected with a furnace chamber flue gas exhaust pipeline, and the other end of the flue gas recirculating pipe is connected with an auxiliary fuel inlet of the combustor.

The invention relates to the technical field of industrial intelligent control, in particular to a combustion system fault correlation analysis and diagnosis method and system based on a knowledge graph. The method comprises the following steps: constructing a mechanism topological graph of a combustion system, obtaining real-time load data of the combustion system, calculating dynamic conduction lag time of a parent node influencing a child node in the mechanism topological graph based on a fluid mechanics load correction mechanism in combination with a flow resistance correction factor and reference transmission time, performing time sequence alignment based on dynamic conduction delay time, calculating causal association strength of a father node pointing to a child node and performing confidence attenuation processing, performing reverse search on a mechanism topological graph when an abnormal trigger point is monitored, calculating accumulated abnormal energy of each father node based on the causal association strength, and determining the abnormal trigger point according to the accumulated abnormal energy. And determining the father node with the highest accumulated abnormal energy as a fault root cause. According to the scheme of the invention, accurate time sequence alignment under working condition fluctuation can be realized, diagnosis failure can be prevented, and fault root causes can be accurately positioned.

The invention discloses an automatic straw bale feeding device which can be used for smoke dust removal and straw drying at the same time. The device enables straw bales (8) to be continuously dried in a straw bale dust removal and drying feeding bin (4) using hot air or waste heat smoke from a combustion system (1) or other sources, and the waste heat smoke is simultaneously dust removed and purified by the straw bales (8). Straw bales are put into and transported from a straw bale transport device A (13) at the front to a straw bale transport device B (14) at the rear, and dried and smoke dust removed at an air blowing opening (28). The dried straw bales enter a straw bale push bin (2) through a straw bale locking bin (3) and are finally sent to a combustion system (1). New straw bales are reloaded through a straw bale dust removal and drying feeding bin (4) which is provided with two pivot doors (9, 11), connected to the straw bale locking bin (3) and includes two straw bale transport devices.

The embodiment of the invention provides an aerosol product, a heat-not-burn system and a mold. The heat-not-burn system comprises the aerosol product and a heat-not-burn device. The aerosol product comprises a protective layer, the protective layer comprises vertical fiber structures arranged in the circumferential direction, the vertical fiber structures extend in the length direction of the aerosol product, and a piercing position allowing a heating tooth of a heating non-combustion device to pierce is formed between every two vertical fiber structures; the aerosol base material and the protective layer enclose an accommodating space, and the accommodating space is filled with the aerosol base material. By adopting the embodiment of the invention, the outer layer of the aerosol product is provided with the piercing position, so that the heating teeth easily penetrate through the aerosol product from the side surface and pierce into the aerosol product, the aerosol base material can be uniformly heated, and the heating efficiency can be improved.

The invention discloses a multi-stage collaborative boiler combustion optimization control method and device and a storage medium. The method comprises the steps that multiple types of control parameters related to the operation process of a boiler combustion system are collected; through collaborative optimization of fuel deviation coarse adjustment, key index fine adjustment and wall temperature deviation fine adjustment, the operation state of the combustion system is sensed in real time, various control parameters are analyzed and adjusted, and therefore the operation effect of the boiler combustion system is optimized. Through collaborative optimization of fuel deviation coarse adjustment, key index fine adjustment and wall temperature deviation fine adjustment, the operation state of the combustion system is sensed in real time, various control parameters are rapidly analyzed and accurately adjusted, the problem that in the prior art, a single optimization method is insufficient is solved, multi-stage accurate regulation and control under the complex control environment are achieved, and the control efficiency is improved. And the overall operation effect of the combustion system is optimized.

The invention relates to a time-sharing measurement device for carbon content in flue fly ash. The device mainly comprises a sampler, a detection part and a control module, the sampler is provided with a plurality of sampling pipes, each sampling pipe is provided with an adjusting valve, time-sharing sampling is achieved through PLC logic control, and full-time-period fine coverage is ensured. The separation component separates fly ash from gas and collects a fly ash sample, and the detection component integrates a spectral analysis unit and a data processing unit, performs spectral analysis on the fly ash sample and calculates the carbon content. According to the method, multiple objective functions such as the fly ash carbon content, the combustion efficiency and the system stability are optimized at the same time by selecting multi-dimensional equipment process parameters and fly ash measurement data and adopting an evolutionary optimization algorithm, global optimization is achieved, the dependency relationship among the process parameters is fully considered, falling into a local optimal solution is avoided, the optimization efficiency is improved, and the method is suitable for popularization and application. The method can systematically coordinate the contradictory relation among all targets, achieves the maximization of the operation efficiency of the system while detecting the fly ash, and enables the combustion system to operate stably.

The invention discloses a flue gas compensation type pulverized coal wide-load stable combustion system based on staged combustion and intelligent regulation and control and a control method, and belongs to the technical field of coal-fired power generation. The system is composed of a combustor, an intelligent control module and a flue gas backflow module, the combustor adopts a double-ring fuel channel design, an inner ring injects high-concentration pulverized coal and is provided with an adjustable swirler, and pulverized coal-flue gas mixed airflow is introduced into an outer ring; the intelligent control module predicts a load through an LSTM neural network, and realizes accurate matching of air and coal in combination with PID adjustment; and the flue gas backflow module adopts an oxygen concentration adjustable technology to maintain the combustion intensity. Under the working condition of 30%-40% low load, the system achieves the stable combustion effect that the flame center temperature is stabilized at 920 + / -20 DEG C by means of optimizing the proportion of inner ring pulverized coal to 75%-85%, increasing the primary air temperature to 145-170 DEG C, compressing the proportion of secondary air to 20%-30%, strengthening a swirling flow field to 45 degrees and the like in cooperation with flue gas backflow with the oxygen concentration of 23%-25%, and has the advantages of efficient combustion and low emission.

The invention discloses a thermal power generating unit self-adaptive blending combustion method based on coal quality parameters. The thermal power generating unit self-adaptive blending combustion method comprises the following steps that S1, the coal quality parameters are obtained in real time; s2, digitizing the detected coal quality parameters, and inputting the digitized coal quality parameters into a system database; updating the digital twin model in real time based on the latest data; s3, dynamic characteristic analysis is carried out through a digital twinborn model, and the response of coal combustion is predicted; s4, generating a three-dimensional control matrix, and generating an optimal blending combustion proportion; performing dynamic compensation correction according to the real-time operation data; s5, issuing the optimized blending combustion instruction to a combustion system for execution; s6, the emission index and the combustion efficiency after combustion are monitored in real time; s7, carrying out deviation analysis on the collected operation data and an expected target; and S8, carrying out machine learning training on the actual blending combustion data and the theoretical model deviation. According to the method, the blending combustion proportion is dynamically optimized by generating the three-dimensional control matrix; the combustion boundary is predicted based on a transfer learning engine, rolling horizon optimization responds to deviation within 3 minutes, and it is ensured that pollutants do not exceed the limit.

The invention provides a combustion control method and system suitable for Zhundong coal anti-coking, and relates to the technical field of combustion control, and the combustion control method comprises the following steps: determining combustion characteristic parameters of Zhundong coal; based on the combustion characteristic parameters of the Zhundong coal, establishing a combustion mathematical model of the Zhundong coal combustion process; the optimal combustion parameters of the Zhundong coal under different combustion working conditions are obtained through the combustion mathematical model, the three-dimensional numerical solution of the Zhundong coal in the combustion and coking process in the hearth is obtained through numerical simulation on the basis of the optimal combustion parameters, all the combustion parameters are optimized, and the optimal matching scheme for preventing coking combustion is obtained; the operation parameters of the combustion system and the coal pulverizing system are automatically adjusted, the opening degree of electric adjusting valves on a primary air pipe and a secondary air pipe is adjusted, the rotating speed of an air blower is adjusted through a frequency converter, the coal feeding amount and the primary air temperature of the coal pulverizing system are adjusted, and precise control and anti-coking optimization of the east Junggar coal combustion process are achieved.

The invention discloses a combustion oscillation on-line monitoring method and device based on recursive quantitative analysis. The method comprises the steps that dynamic signals near a combustion chamber are obtained; performing recursive analysis on the dynamic signals in a period of time window, reconstructing a phase space, calculating time delay and embedding dimensions, and constructing a recursive matrix to obtain a recursive plot; extracting features from the recursion plot to obtain recursion quantization features; taking the recursive quantization features as input variables of the neural network, and inputting the recursive quantization features into the trained neural network; and the neural network gives a judgment result of the combustion oscillation state, and triggers an early warning mechanism when an abnormality is detected. According to the method, recursive quantitative analysis and deep learning are combined, online real-time monitoring of the combustion oscillation state is achieved, the precision and real-time performance of combustion oscillation monitoring are improved, efficient recognition and early warning of combustion oscillation are achieved, operation of a combustion system is optimized, combustion stability and safety are improved, the operation and maintenance cost of equipment is reduced, and the working efficiency is improved. And the method has wide engineering application value.

The invention provides a coal mine ventilation air methane synergistic enrichment and fluidized heat storage combustion system and method. The system comprises an air shaft diffusion tower and a ventilation air methane collecting device, the method comprises the following steps: collection and compression of ventilation air methane, cooling and boosting adsorption of an adsorption tower, pressure drop equalization of the adsorption tower, temperature rise, pressure reduction and desorption of the adsorption tower, pressure rise equalization of the adsorption tower, periodic cycle work of the adsorption tower, preheating of a packed bed of a heat storage furnace, fluidized heat storage oxidation of coal gangue and gas, and waste heat recovery and utilization. According to the invention, safe and efficient enrichment of ventilation air methane can be realized, and fluidized heat storage oxidation coupling utilization of concentrated gas and coal gangue particles can be realized; the oxidation waste heat is used as a generator heat source; the carbon reduction scheme of large-scale separation and concentration-synergistic oxidation-efficient utilization of the oversize coal mine ventilation air methane is formed, the coal industry is assisted to achieve the goal of'two wastes' and sustainable development, and large-flow, low-cost, safe and efficient treatment and utilization of the ventilation air methane discharged by an oversize low-gas mine can be achieved.

The invention discloses a combustible liquid limit oxygen concentration testing device and method, and the device comprises an electrolyte supply system which comprises a height-adjustable placement platform and a constant-pressure liquid supply module; the combustion system comprises a base and a combustion tube, a partition plate is fixedly connected to the middle position in the combustion tube, an ignition module is detachably connected to the center position of the top face of the partition plate, a lampwick tube is arranged in the ignition module, a lampwick is arranged at the top end of the lampwick tube, and rectification modules are arranged on the top face of the partition plate and the inner bottom of the combustion tube correspondingly; an experimental darkroom is mounted on the top surface of the base; a gas inlet pipe is mounted at the bottom of the combustion pipe; the gas distribution system is connected with the control system; the optical measurement and analysis system is mounted in the experimental darkroom; a waste liquid recovery module is installed at the bottom of the base. A discharge pipe is installed at the bottom of the combustion pipe. The constant-pressure liquid supply module can ensure that electrolyte with stable pressure is provided for the lampwick tube, and the accuracy and repeatability of a test result are ensured.

The coal-fired boiler low-load ammonia-doped cracking hydrogen stable combustion system comprises a coal-fired boiler, an ammonia gas generating device, an air premixer and an ammonia gun, the output end of the ammonia gas generating device is connected with the air premixer, the output end of the air premixer is connected with the ammonia gun, and a plurality of ammonia-doped cracking hydrogen modules are sequentially arranged in the middle of the coal-fired boiler. The ammonia-doped hydrogen cracking modules sequentially comprise secondary fans, combustors, ammonia guns and combustors from bottom to top, and the secondary fans are arranged at the upper parts of the ammonia-doped hydrogen cracking modules; the coal-fired boiler is provided with an online oxygen concentration analyzer, a thermocouple temperature sensor, an online hydrogen concentration analyzer, a pressure sensor and a flue gas analyzer which are connected with a controller. According to the invention, the structure of the coal-fired boiler is optimized, the addition amount of ammonia gas is adjusted through the low-load ammonia-doped cracking hydrogen stable combustion method for the coal-fired boiler, and the local oxygen concentration is accurately controlled, so that the overall combustion efficiency and stability are improved, and the emission of nitrogen oxides is reduced.

The invention discloses a boiler combustion energy efficiency improving method and system based on digital twinning and a medium, and relates to the technical field of boilers, and the method comprises the steps that design information and historical data of a target boiler combustion system are obtained, digital twinning modeling is carried out, and a digital twinning model is built; key parts are identified based on design information, sensors are deployed, a combustion system sensing assembly is constructed, and real-time combustion state data are collected; constructing a boiler combustion energy efficiency evaluation system, performing multi-dimensional evaluation on real-time data, and determining a current energy efficiency coefficient; and performing energy efficiency improvement control on the target boiler combustion system based on the energy efficiency coefficient through a digital twin model. The technical problems of low combustion efficiency and high energy consumption caused by difficulty in real-time monitoring and optimization of energy efficiency in the boiler combustion process are solved, and accurate evaluation and intelligent optimization control of the boiler combustion state are realized through digital twin modeling and real-time sensing. The combustion energy efficiency of the boiler is improved, the energy consumption is reduced, and the operation stability is ensured.

The invention provides a combustion stability evaluation method based on image confrontation self-coding, a medium and equipment, and the method comprises the steps: firstly collecting flame images under different combustion conditions, and carrying out the preprocessing of the flame images; secondly, building an adversarial self-coding to extract deep features of the flame image, and training by adopting an improved loss function; designing an empirical formula to extract statistical features of the flame image, and performing weighted fusion on the statistical features and the deep features to form comprehensive features; an improved mini-batch K-means method is adopted to carry out clustering analysis on the comprehensive features, and statistical parameters are utilized to distinguish the stability category of a clustering cluster; finally, a combustion stability quantitative evaluation index is established, and combustion stability estimation of a single flame image is achieved. According to the method, computer vision and deep learning technologies are utilized, and the flame image is subjected to feature extraction and analysis, so that quantitative characterization of the combustion stability is realized. Compared with a traditional method, the method has the advantages of objectiveness, high efficiency and the like, and an important guidance basis can be provided for optimization control of a combustion system.

To provide a combustion system and a combustion method capable of regulating a main steam temperature.SOLUTION: A combustion system 100 includes: a combustion furnace 2 for burning objects to be treated; a boiler 3 for guiding combustion gas that has passed through the combustion furnace 2; a superheater 4 provided in the boiler 3 and superheating main steam; a discharge path 5 for discharging the combustion gas that has passed through the boiler 3; and a return path 6 for returning the combustion gas in the discharge path 5 as recirculation gas. The return path 6 has: a first path 62 for sending part of the recirculation gas to the combustion furnace 2; and a second path 63 for sending the other part of the recirculation gas to an upstream side of the superheater 4 in the boiler 3.SELECTED DRAWING: Figure 1

The invention discloses a device and method for preparing biochar from corncobs, and belongs to the technical field of biochar preparation, the device comprises a machine base, a frame is fixed outside the machine base, an outer cylinder is horizontally fixed on one side of the machine base, and the outer cylinder is fixedly connected with the frame; the crushing seat is arranged above the outer cylinder; the combustion system is arranged on one side of the outer barrel, and the combustion system is externally connected with a hot gas booster fan; the sealing end cover is fixed in the outer cylinder body; the carbonization cylinder is rotationally mounted on the machine base, and one end of the carbonization cylinder is coaxially and rotationally connected with the sealing end cover; the heat control unit is arranged in the annular cavity of the carbonization cylinder; the material guide channel is arranged on the sealing end cover; the filter material unit is fixed in the carbonization cylinder; according to the device, a scrap mixture can be graded according to the particle size, primary carbonization of the scrap mixture is achieved, then the scrap mixture is remixed and then subjected to high-temperature pyrolysis carbonization, and the purity and quality of biochar preparation are improved.

The invention belongs to the technical field of heating furnaces, and particularly relates to an oxygen-enriched combustion system and method for a coal gas single heat storage type heating furnace. Comprising an oxygen pressure regulating branch, a first heating section oxygen lance oxygen injection branch and a main pipe oxygen enrichment branch, the oxygen pressure regulating branch is provided with a pressure transmitter and a temperature transmitter, an oxygen source is communicated with the pressure transmitter and the temperature transmitter through a pipeline, and oxygen flows into the first heating section oxygen lance oxygen injection branch and the main pipe oxygen enrichment branch after being subjected to pressure regulation through a pressure valve. A flow control valve is arranged on the first heating section oxygen lance oxygen injection branch, oxygen is fed into the heating furnace, and the main pipe oxygen enrichment branch feeds enriched oxygen into the main pipe through an enriched oxygen distributor. Flexible switching of different oxygen enrichment modes of the heating furnace is achieved, the burner in the oxygen lance oxygen injection branch of the first heating section is not reversed, total-oxygen combustion of the burner is achieved, under the oxygen enrichment branch of the main pipe, oxygen is conveyed to the main pipe through the oxygen enrichment distributor through the other branch to be mixed with combustion air, and total-furnace oxygen enrichment combustion is achieved.

The invention provides a fuel oil atomization characteristic analysis method based on PLIF-Mie dual-spectrum optical measurement, and relates to the technical field of fuel oil atomization characteristics. After fuel oil is sprayed into the atomization characteristic visual measurement system through a centrifugal nozzle, laser is adjusted by using the PLIF-Mie dual-spectrum optical measurement system, and the two-dimensional distribution condition of the average particle size value is obtained at the same time through a method of measuring an LIF signal and a Mie scattering signal at the same time. The PLIF-Mie dual-spectrum optical measurement technology is adopted to comprehensively analyze the fuel oil atomization process of the combustion chamber in the limited space, the high-speed camera shooting and synchronous triggering system can capture the fuel oil atomization process and transient flow field characteristics which change rapidly, the high-precision measurement requirement is met, and the device is suitable for an aero-engine combustion chamber and also suitable for a combustion chamber of an aero-engine. And the method can also be applied to research and optimization of other combustion systems and industrial combustion equipment, and has wide application prospects and remarkable technical advantages in the aspects of improving the combustion efficiency and reducing pollutant emission.

The invention discloses a method for predicting and controlling emissions from a thermal power plant, which relates to the field of electric power technology, and comprises the following steps: obtaining and preprocessing the combustion process data of a thermal power plant boiler; inputting the preprocessed combustion process data of the thermal power plant boiler into a pre-trained NO x The emission concentration prediction model predicts NO x Emission concentration data; the predicted NO x The emission concentration data and the pre-processed thermal power plant boiler combustion process data are input into the pre-trained control strategy optimization model based on reinforcement learning to output the optimal control parameters; the optimal control parameters are sent to the boiler's combustion system and SCR denitrification system through the PLC system to implement automatic adjustment control. This invention integrates advanced data processing and machine learning technologies to optimize NO in thermal power plants. x The prediction and control of emissions provides an efficient and accurate solution that helps achieve the dual goals of environmental protection and economic benefits of thermal power plants.

The invention provides an energy system for synthesizing green methanol based on biomass gasification and oxygen-enriched combustion, and belongs to the technical field of new energy. The energy system comprises an electrolysis system, an oxygen-enriched combustion system, a methanol synthesis system, a biomass gasification system and an ammonia-process carbon capture unit, an oxygen outlet of the electrolysis system is communicated with the oxygen-enriched combustion system, and a hydrogen outlet of the electrolysis system is communicated with the methanol synthesis system; oxygen generated by the electrolysis system is supplied to the biomass oxygen-enriched combustion system for supporting combustion, and hydrogen is supplied to the methanol synthesis system; a hydrogen outlet of the biomass gasification system is communicated with the methanol synthesis system; a carbon dioxide outlet of the oxygen-enriched combustion system is communicated with the methanol synthesis system through the ammonia-process carbon capture unit; the material energy flow of the energy system is adjusted through hydrogen generated by the biomass gasification system, and the adjusting flexibility of the energy system is improved; the concentration of carbon dioxide output by the oxygen-enriched combustion system is concentrated through the ammonia-process carbon capture unit, and the pretreatment requirement of methanol synthesis is met.

The invention relates to a water heater control method and device, a water heater, a computer readable storage medium and a computer program product. The method comprises the steps that the target output power of the combustion system is obtained; determining a target driving signal of the fan assembly according to the target output power; in the process of controlling the fan assembly to operate based on the target driving signal, the current rotating speed of the fan assembly is obtained; and the opening degree of the fuel gas inlet assembly is adjusted according to the current rotating speed, so that the proportion of air entering the mixing cavity through the fan assembly to fuel gas entering the mixing cavity through the fuel gas inlet assembly is within a preset proportion range. By means of the method, the amount of fuel gas entering the mixing cavity can be matched with the amount of air, and then the proportion of the air and the fuel gas in the mixing cavity is kept within the preset proportion range. When the mixed gas in the mixing cavity is supplied to the combustion system, the combustion efficiency of the gas system can be improved, the situations of flame separation, backfire and the like possibly occurring in the combustion process are improved, and the operation safety of the water heater is improved.

The invention belongs to the field of coupling power generation, and provides a coupling pulverized coal fired boiler low-load stable combustion and blending combustion system and a control method. According to the system, cold air from a boiler primary air fan is divided into two paths, one path is directly conveyed to a cold air main pipe, and the other path is conveyed to a hot air main pipe after being preheated by a preheater; the coal mill correspondingly takes cold air and hot air from the cold air mother pipe and the hot air mother pipe, the cold air and the hot air are mixed to a set temperature and then enter the coal mill for pulverized coal drying, and the dried pulverized coal is conveyed to the pulverized coal boiler to enter a hearth for combustion; the biomass gasification furnace takes cold air and hot air from the cold air mother pipe and the hot air mother pipe correspondingly, and the cold air and the hot air enter the biomass gasification furnace after being mixed to a set temperature; the biomass material is gasified in the biomass gasification furnace to generate carbonized products, namely biomass charcoal and biogas; the carbonized product biomass charcoal is conveyed to a coal mill to be milled together with the raw coal, and then is blown to a pulverized coal boiler to enter a hearth for combustion; biogas directly enters the pulverized coal boiler and enters a hearth for combustion.

The invention discloses a low-calorific-value associated gas ultralow-nitrogen flameless combustion system, which relates to the technical field of combustion control and comprises a gas acquisition module, a premixing control module, a low-calorific-value gas pre-mixing module, a low-calorific-value gas pre-mixing module and a low-calorific-value gas pre-mixing module, multivariable cooperative control is adopted to adjust the mixing proportion of the low-heating-value gas with the stable pressure and the air, and premixed gas with the stable flow is obtained; according to the ultralow-nitrogen flameless combustion system for the low-heating-value associated gas, the combustion process is adjusted through a recirculation channel and dynamic power distribution, combustion state data are collected through a flame probe and a temperature sensor, airflow distribution of the porous ceramic combustor is adjusted according to the data, and finally stable combustion output is achieved. The method can effectively improve the combustion efficiency and stability of the low-heating-value gas and reduce emission, and is suitable for efficient and clean utilization of the low-heating-value gas such as industrial waste gas.

The invention discloses process equipment and method for high-temperature nitrogen-free sintered magnesia, and belongs to the technical field of high-temperature combustion of industrial kilns, and the process equipment is composed of a calcining kiln, a bag-type dust collector, an induced draft fan, a gas cooler, a gas mixer, a liquid oxygen storage tank, a gasifier, PLC control equipment and a high-pressure fan. The oxygen content in the mixed gas is controlled to be 21-25%, artificial nitrogen-free combustion-supporting air is obtained to replace air to complete sintering of magnesia, air is not used, 79% of nitrogen components in the air are prevented from entering a combustion system, discharged tail gas is reduced by more than 2 / 3, heat loss in smoke is reduced, nitrogen oxide is not generated, catalytic reduction denitration is not needed, and the production cost is reduced. As the flue gas does not need to be heated, the energy consumption cost is saved. The concentration of carbon dioxide in discharged flue gas can reach more than 90%, liquid carbon dioxide is prepared through pressurization, and waste is turned into wealth.