7135 results about "Combustion" patented technology

A method for reacting one or more hydrocarbons by steam cracking including conducting one or more input streams containing the one or more hydrocarbons, obtaining one or more product streams, through one or more radiation zones of one or more cracker furnaces, in which the one or more radiation zones are heated by firing heating gas with combustion air, in which at least a portion of the combustion air is subjected to combustion air preheating in which steam is produced from feed water, and in which the feed water is subjected to feed water preheating in one or more convection zones of the one or more cracker furnaces. The combustion air preheating is carried out at least in part and / or at least temporarily using heat withdrawn from at least part of the feed water upstream of the feed water preheating.

A method for methane extraction and closed-loop carbon fixation in stacked coal seams using hot flue gas displacement. First, a CH4 combustion explosion fracturing technique is used to perform in-situ coordinated combustion explosion reactions in coal seam sections to generate gases to impact and fracture the coal seam sections, so as to form a fracture network; then, hot flue gases injected into the coal seam sections can promote desorption of CH4 gases from coal due to a relatively high temperature of the hot flue gases, and due to competitive adsorption advantages, CO2, SO2 and NO2 in the hot flue gases can displace a large amount of CH4 gases adsorbed in stacked coal seams for closed-loop utilization, such that the hot flue gases are stored, and the efficiency of methane extraction in the coal seams is also improved. According to the current changes in physical property parameters of different coal seam sections, an established multi-source monitoring data inversion and intelligent regulation system can design optimal combustion explosion gas injection parameters and optimal hot flue gas injection parameters which meet the coal seams, so as to perform layered, dynamic and precise regulation on gas injection parameters of the coal seam sections, thereby maximally improving the methane combustion explosion fracturing, hot flue gas storage and CH4 extraction efficiency of the coal seam sections of the stacked coal seams.

The invention discloses a thin mutual coal seam fracturing, gasification and carbon sequestration integrated method. The method comprises the steps of geological exploration and coal seam refined evaluation; a middle horizontal well is drilled downwards from the ground; top and bottom horizontal wells are planned and drilled in the uppermost and lower sandstone stratums of the thin mutual coal seam; a plurality of top and bottom fishbone wells are drilled obliquely downwards and upwards in the top and bottom horizontal wells; oxygen-enriched water vapor is injected into the middle horizontal well through a continuous oil pipe, the oxygen-enriched water vapor is squeezed into the reservoir under the action of high pressure, and fracturing operation is conducted; initiating an underground gasification process of the coal seam, and synchronously performing extraction operation of the coal seam gas; supercritical CO2 fracturing operation is conducted on the top horizontal well and the bottom horizontal well; injecting water-based fracturing fluid into the top horizontal well and the bottom horizontal well; gasified materials generated by coal seam combustion gasification and desorbed methane gas are extracted through the middle horizontal well, and supercritical carbon dioxide injected before is sealed for a long time. According to the method, the limitation of a traditional hydraulic fracturing technology can be solved, and the transformation effect of the reservoir can be improved.

The invention relates to the field of power equipment data processing, in particular to a biomass power generation efficiency optimization method based on data driving, which comprises the following steps: collecting fuel multi-source heterogeneous data through a laser-induced breakdown spectroscopy and a temperature sensor, and carrying out space-time alignment processing by adopting a redundancy sensing fusion and dynamic time warping algorithm; and generating a fuel characteristic tensor for representing the fuel heat value, the water content and the ash content. A combustion digital twin dynamic model is constructed based on the tensor, the weight of the model is dynamically updated through cross validation of the CO / CO concentration ratio and the volatilization analysis rate, the combustion efficiency and the control stability are improved, and the problems of insufficient model adaptation and reduced heat transfer efficiency caused by fuel heterogeneity are solved.

The invention discloses a boiler combustion strategy optimization method, system, equipment and medium, and relates to the technical field of combustion strategy optimization, and the method comprises the steps: employing a width-adaptive triangular convolutional neural network to establish a prediction model of boiler thermal efficiency, NOx emission and superheated steam temperature; constructing a boiler multi-target combustion optimization intelligent agent, and introducing a maximum entropy parameter to obtain all boiler combustion optimal strategies as a target, and obtaining any strategy of which the value is higher than a threshold value; and based on the combustion strategy, outputting a next state through the trained prediction model, obtaining a reward corresponding to the current state, and performing iterative optimization on the boiler multi-target combustion optimization agent according to the current state, the combustion strategy, the next state and the reward corresponding to the current state. And taking the combustion strategy until the optimal reward is obtained as the optimal boiler combustion strategy. On the premise of guaranteeing the stability of the hot steam temperature, the effects of reducing the emission concentration and guaranteeing the stability of the heat efficiency of the boiler are achieved.

The invention provides a thermal power plant coal blending combustion proportion analysis method, system equipment and a medium. According to the embodiment of the invention, physical and chemical parameters of to-be-blended-combusted fuel are collected; fuel characteristic data are determined according to the basic coal type, the standard combustion parameters corresponding to the coal types and the physical and chemical parameters of the fuel to be subjected to blending combustion; preliminarily setting a blending combustion proportion range by adopting a multi-objective optimization algorithm according to the fuel characteristic data; performing a small-scale blending combustion test based on the blending combustion proportion range, and collecting test data; and analyzing test data and adjusting a blending combustion ratio to optimize a preset combustion model so as to analyze the coal blending combustion ratio, so that through accurate blending combustion ratio control, the utilization of fuel energy is maximized, the power generation efficiency is improved, the emission of harmful gases such as NOx and SOx is reduced, the stricter environmental protection standard is met, the fuel cost and the combustion benefit are balanced, and the total operation cost is reduced. The market competitiveness of the thermal power plant is enhanced.

The invention relates to the technical field of combustion monitoring, and discloses a combustion instability boundary prediction system based on complex environment condition analysis, and the system comprises a multi-source sensing module, a data fusion module, an anti-interference processing module, an instability feature library, an intelligent decision engine and a digital twinborn body. A dynamic environment interference compensation mechanism is constructed, spectrum correction parameters are configured according to different environment working conditions during real-time prediction of a combustion instability boundary, the problem of spectrum distortion caused by environment disturbance on combustion dynamic parameters is eliminated in real time, spectrum interference deviation of a combustion measurement position can be automatically sensed and corrected, and real-time prediction of the combustion instability boundary is realized. The accuracy of combustion instability sensitive feature extraction is guaranteed, the instability early warning error is reduced, a flame pose real-time tracking system is deployed, fuel control parameter self-adaptive adjustment is triggered immediately when it is detected that the pose is abnormal, autonomous correction of the combustion instability feature recognition position is achieved, and it is guaranteed that the feature capture space is accurately positioned.

The preparation method comprises the following steps: treating sepiolite serving as a raw material with 3-aminopropyltriethoxysilane to prepare aminated sepiolite, ultrasonically blending the aminated sepiolite and a modified filler, then treating with phytic acid to prepare a flame-retardant filler, melting bisphenol A polycarbonate, blending with the flame-retardant filler, and carrying out extrusion molding to obtain the flame-retardant fireproof plastic. When the flame-retardant fireproof plastic is combusted, the flame-retardant filler is subjected to evaporation of hot water molecules to cause structural expansion and form an isolation layer, meanwhile, evaporation of the water molecules can take away heat, released ammonia gas can reduce the content of smoke so as to achieve the flame-retardant effect, and generated inorganic acid and phosphate ester are dehydrated and carbonized, so that the flame-retardant fireproof plastic has a good flame-retardant effect. The carbon layer with large interlayer spacing is formed through cooperation with the isolation layer, an organic silicon structure is contained, Si-C can be formed, then the density of the carbon layer is increased, aluminum oxide and magnesium oxide can be formed after internal aluminum ions and magnesium ions are combusted at high temperature, then the flame retardance of the carbon layer is improved, and the flame-retardant and fireproof effects of the plastic are improved.

The invention discloses a thermal field coupling dynamically-adjustable ammonia cracker and a control method, the thermal field coupling dynamically-adjustable ammonia cracker comprises an ammonia preheating device and an ammonia cracking reaction device, the ammonia preheating device comprises a combustion preheating chamber and a controllable pure ammonia burner, the combustion preheating chamber comprises a combustion cavity and an ammonia preheating cavity, the ammonia preheating cavity surrounds the periphery of the combustion cavity, and the controllable pure ammonia burner is arranged in the combustion cavity. The controllable pure ammonia burner comprises an ammonia fuel spray head and an air rotational flow assembly, the air rotational flow assembly comprises a plurality of rotational flow fan blades, the distances between the rotational flow fan blades in the circumferential direction are adjustable, the ammonia cracking reaction device comprises a tail gas inlet pipe, a mixed gas heat exchange cavity and an ammonia cracking reaction pipe, and the ammonia cracking reaction pipe is arranged in the mixed gas heat exchange cavity; an inlet of the mixed gas heat exchange cavity is communicated with the tail gas inlet pipe and the combustion cavity at the same time, the ammonia cracking reaction pipe is communicated with the ammonia preheating cavity, and an ammonia cracking catalyst is arranged in the ammonia cracking reaction pipe. The requirements for the high ammonia cracking rate and the high energy utilization efficiency are met, and meanwhile the hydrogen production amount can be dynamically adjusted according to the hydrogen requirement amount of the ammonia internal combustion engine.

The invention discloses an intelligent control method and device for the urban solid waste incineration process, a medium and a product, and relates to the technical field of urban solid waste incineration. The method comprises the steps that the pusher speed, the fire grate speed, the primary air flow, the secondary air flow, the combustion time, the main steam flow and the furnace oxygen amount of the urban solid waste incineration process at the current moment are obtained; according to the pusher speed, the fire grate speed, the combustion time and the main steam flow at the current moment, the main steam flow at the next moment is determined through a main steam flow prediction model; according to the primary air flow, the secondary air flow and the furnace oxygen amount at the current moment, the furnace oxygen amount at the next moment is determined through a furnace oxygen amount prediction model; and in combination with a switching rule based on expert knowledge, a main steam flow controller and a furnace oxygen amount controller are solved by utilizing a gradient descent algorithm, and the optimal control rate is determined so as to control the urban solid waste incineration process. The solid waste treatment efficiency is improved, and rapid and stable control over the main steam flow and the furnace oxygen amount is achieved.

The invention relates to the field of hydrogen leakage and combustion detection, and discloses a hydrogen leakage and combustion identification method, which comprises the following steps: S1, collecting multiple types of detection signals from acoustic, electrochemical and infrared thermal image sensors; s2, preprocessing the collected signals to generate a multi-dimensional feature space; s3, constructing a topological structure in the multi-dimensional feature space, extracting topological features, and generating topological descriptors; s4, analyzing the time dynamic change of the topology descriptor based on a Markov chain model; s5, calculating the topological similarity between the real-time signal and the known mode, and carrying out mode matching; and S6, calculating a signal state through a comprehensive decision function, judging whether a hydrogen leakage or combustion event exists, and triggering a corresponding alarm. According to the invention, through multi-sensor cooperative monitoring, signal preprocessing, topological structure analysis and dynamic modeling, high-precision real-time monitoring and reliable alarm of hydrogen leakage and combustion are realized, and the system has the advantages of high sensitivity, low missing report rate and rapid response.

The invention discloses a tail gas self-treatment low-emission zero-carbon ammonia hydrogen engine system and a control method, and the tail gas self-treatment low-emission zero-carbon ammonia hydrogen engine system comprises a pure ammonia flameless combustion ammonia decomposition system, a NOx decomposition system, an ammonia hydrogen engine, an air source and an ammonia gas source. The NOx decomposition system utilizes a thermal decomposition technology of nitrogen oxide to realize the reutilization of waste heat of combustion tail gas of the pure ammonia hedging type flameless combustion furnace and decompose the nitrogen oxide in the engine tail gas into nitric oxide, and the ammonia-hydrogen engine utilizes the combustion of the engine to do work, so that the tail gas of the pure ammonia hedging type flameless combustion furnace can be recycled, and the nitrogen oxide in the tail gas of the pure ammonia hedging type flameless combustion furnace can be recycled. Heat utilization of ammonia gas is achieved, and combustion-supporting tail gas needed by the pure ammonia opposite-flushing type flameless combustion furnace is generated.

This disclosure includes systems and methods of operating a convection section of an furnace in a chemical production process with simulated combustion gas (SCG) that is heated by an electric or thermal energy source instead of by combustion. Some such systems and methods utilize a thermal mass that is configured to store thermal energy such that the thermal mass can be used to heat a working fluid. The thermal mass can be coupled to a heater that receives electrical energy from a renewable source, and converts the electrical energy into thermal energy to heat the thermal mass and thereby store the thermal energy. In some aspects, a furnace is in fluid communication with the thermal mass such that the furnace receives the working fluid from the thermal mass to provide thermal energy to process for chemical production that would otherwise typically be provided by flue gas from a hydrocarbon-fired radiant section in conventional systems. In some configurations, the working fluid is or comprises one or more radiatively participating gases heated to exceed a threshold above which the working fluid transfers heat through radiation.

The invention discloses an optimal control method for a straw pyrolysis carbonization process. The method comprises: performing multipoint temperature real-time acquisition and data processing on a carbonization zone of a carbonization furnace, obtaining temperature information and calculating a deviation from a preset ideal temperature curve (S01); dynamically adjusting an operating parameter of the combustion zone using a control algorithm based on the temperature deviation (S02); performing on-line monitoring on the flue gas components (S03); and regulating and controlling the return air flow and the secondary air supply amount of the combustion area in a linkage manner according to the flue gas monitoring result so as to optimize combustion and energy recovery (S04). Through accurate and intelligent process control, efficient, environment-friendly and high-valued utilization of the straw carbonization process is realized.

The invention discloses a flame retardant property detection device for environment-friendly high-weather-resistance flame-retardant ABS (Acrylonitrile Butadiene Styrene) plastic, which is applied to the technical field of plastic flame retardant property detection and comprises a detection box, the detection mechanism is arranged in the detection box; the flue gas filtering assembly is arranged at the top of the detection box; the control assembly is arranged at the side part of the detection box; the detection mechanism comprises a clamping assembly, a combustion assembly, a detection assembly and a temperature pneumatic control assembly, the temperature pneumatic control assembly is arranged in a box body of the detection box, the clamping assembly comprises a support I, a connecting rod and a chuck, the support I is fixed at the bottom in the detection box, the bottom of the detection box is fixedly connected with a fixed seat III, and the fixed seat III is fixedly connected with the combustion assembly. According to the invention, the distance between to-be-tested samples of different sizes and the flame projector can be conveniently clamped and adjusted, it is ensured that the distance between the to-be-tested samples and flames is accurate and constant, and the subjective influence of workers during testing is reduced.

The invention relates to the technical field of underground coal gasification, in particular to a coal underground gasification process stability monitoring and evaluating method which comprises the following steps: determining a space mapping relation between a gasifier temperature field and an acoustic emission event according to the temperature gradient and the acoustic emission event of a gasifier; carrying out three-dimensional inversion on a combustion cavity of the gasification furnace, and determining attenuation trends of the coal seam under different temperature gradients; according to the attenuation trend of the coal seam under different temperature gradients, the propelling direction of the boundary of the combustion cavity is determined by utilizing the spatial distribution density and the relative position of each acoustic emission event; according to the propelling direction of the fuel cavity boundary, boundary moving paths are formed, and the propelling area proportion of each position in the propelling direction is calculated according to the distance difference of the boundary moving paths; and according to the propulsion area proportion of each position in the propulsion direction and the expansion rate of the combustion cavity, determining the space stability classification of each part of the combustion cavity. The accuracy and the efficiency of monitoring underground gasification of the coal seam are realized.

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.

An ammonia cracking reactor comprising: one or more reaction tubes containing ammonia cracking catalyst; one or more fuel combustion elements for combusting fuel in a fuel combustion zone surrounding the one or more reaction tubes to provide heat energy to support the cracking of ammonia in the one or more reaction tubes; and one or more electrically powered heating elements to provide heat energy to support the cracking of ammonia in the one or more reaction tubes, wherein the one or more fuel combustion elements and the one or more electrically powered heating elements are provided in the same reactor for supporting the cracking of ammonia in the same reaction tubes and together form an electrically assisted fuel burning ammonia cracking reactor.

The present invention relates to the technical field of signal processing and fault diagnosis. The method of the present invention comprises: collecting a flame chemiluminescence signal, and performing adaptive filtering noise reduction processing; using an improved proper orthogonal decomposition method and a high-order mode to obtain comprehensive combustion feature information; developing a real-time synchrosqueezing transform algorithm to perform time-frequency analysis on data, and updating energy distribution in real time; taking into account sensor data to perform multi-parameter joint analysis to obtain a combustion state evaluation, using a plurality of high-speed cameras to acquire flame images from different angles, reconstructing three-dimensional flame morphology by means of a computer vision technology, and providing fault detection information; and constructing a fault prediction model to give an early warning of a combustion fault. The present method implements nondestructive and rapid detection of oscillating combustion faults, keeps rich information of flame images, reflects overall flame pulsation characteristics, increases the speed and accuracy of detection, and compensates for the defect of low frequency resolution of conventional time-frequency analysis methods.

The invention provides an RTO method and device based on waste gas treatment efficiency optimization, and the method comprises the steps: carrying out the chemical characteristic analysis and physical characteristic analysis of waste gas to be treated, and obtaining the parameter information corresponding to the waste gas; acquiring process information corresponding to a preset RTO method, and generating flow information and chemical reaction information corresponding to the RTO method according to the process information and the parameter information; constructing a waste gas treatment mathematical model according to the flow information, the chemical reaction information and the parameter information; obtaining physical property parameters and kinetic parameters corresponding to the waste gas according to the organic matter information; acquiring a physical structure of RTO equipment corresponding to the RTO method, and setting fluid dynamic simulation information corresponding to the physical structure according to the waste gas treatment mathematical model, the physical property parameters and the dynamic parameters; and according to a preset optimization algorithm, the initial waste gas flow and the initial combustion temperature, fluid dynamic simulation is conducted on the physical structure, and according to the obtained target waste gas flow and target combustion temperature, waste gas treatment is completed in the RTO equipment.

The invention discloses a method for realizing carbon dioxide emission reduction in a catalyst regeneration process, regenerated flue gas is subjected to dust removal and pressure reduction to obtain low-pressure flue gas, the low-pressure flue gas is divided into a first flue gas material flow and a second flue gas material flow, the first flue gas material flow is subjected to heat exchange, denitration and desulfurization dust removal treatment to obtain desulfurized flue gas, and the desulfurized flue gas is subjected to heat exchange, denitration and desulfurization dust removal treatment to obtain a second flue gas material flow; water vapor in the desulfurized flue gas is removed to obtain low-humidity flue gas, part of the low-humidity flue gas serves as circulating flue gas to participate in catalyst regeneration, part of the low-humidity flue gas and hydrogen are subjected to a combustion reaction, deoxidized flue gas is obtained, and high-concentration carbon dioxide is obtained after the deoxidized flue gas is dehydrated; the second flue gas material flow is subjected to heat exchange with the circulating flue gas or is returned together with the circulating flue gas to participate in catalyst regeneration or is mixed with the first flue gas material flow in the denitration process, and heat exchange, desulfurization and dust removal are continued to obtain desulfurized flue gas. The method solves the problems of large total carbon dioxide emission, low carbon dioxide concentration and high trapping cost of a hydrocarbon processing device in the prior art.

The embodiment of the invention relates to the technical field of image processing, in particular to a garbage incinerator flame combustion situation recognition method based on unsupervised learning. According to the method, the problem of lack of labeling data in flame combustion situation recognition of the garbage incinerator is effectively solved through an unsupervised learning framework; a mutual information maximization objective function driving model is utilized to autonomously excavate essential feature association in a flame image, and a corresponding relation between a combustion state and a visual feature can be established without depending on manual labeling; and hierarchical description of the combustion state is realized through dual-label output of main clustering and super clustering, so that the macroscopic working condition classification capability is reserved, and the microscopic dynamic change characteristics are captured. Visibly, according to the embodiment of the invention, the adaptability of the model to a complex combustion scene is enhanced while the data annotation cost is reduced, and refined monitoring and recognition of the combustion state of the incinerator can be realized.

The invention provides a double-curved-surface hole wall rotational flow umbrella oil nozzle for low-carbon fuel and a machining method, and relates to the technical field of gas turbine fuel injection. The nozzle comprises a needle valve, a needle valve seat, a spraying hole and a rotational flow groove; the needle valve and the needle valve seat form a sealing conical surface, the inner wall face of a spraying hole of the curved-surface rotational flow umbrella spraying nozzle is a double curved surface, the double curved surface and the sealing conical surface form a ruled surface, the rotational flow groove is formed in the inner wall face of the spraying hole, and the direction of the rotational flow groove is the generatrix of the ruled surface. The inner wall face of the spraying hole is designed to be the curved face, fuel is better guided to flow in the oil nozzle, the area of a low-pressure area is reduced due to sudden change of the direction in the fuel flowing process, and therefore cavitation is restrained from occurring and developing, and the phenomena that the spraying hole is blocked and mist spraying is unstable due to cavitation are improved; the rotational flow grooves in the curved surface can be achieved through the electric spark machining technology, the machining difficulty is reduced, meanwhile, the turbulent kinetic energy and the radial momentum of fuel can be effectively improved, spray distribution is more uniform, and the atomization quality is improved.

The invention relates to the technical field of coal gas molten salt heat storage, and discloses a steel mill coal gas molten salt heat storage system and a heat storage operation method and device.According to the coal gas molten salt heat storage system, a coal gas combustion unit adjusts heat power to output flue gas; the high-temperature heat exchange unit and the combustion unit are integrated, and fused salt is heated to the target temperature; the flue gas waste heat exchange unit uses waste heat flue gas flowing out of the high-temperature heat exchange unit as a heat source to heat low-temperature fused salt to medium temperature; the molten salt flow mixing unit realizes high-temperature molten salt flow division backflow and closed-loop circulation; the closed-loop control system dynamically adjusts the backflow proportion and the combustion power based on real-time data to ensure stable and efficient operation of the system, the problems that a blast furnace gas heat source is unstable, temperature rise of molten salt is limited and an existing system lacks dynamic control are solved, safe operation of the system is guaranteed, the service life of equipment is prolonged, and the energy utilization efficiency is further improved. And stable fused salt temperature output and energy efficiency optimization are realized.

The invention is applicable to the technical field of thermal equipment performance monitoring, and provides a quantitative calculation method for peak regulation unit output by combustion heat value change, which comprises the steps of deriving a main steam flow calculation equation, deriving a unit output calculation method and solving unit output change. According to the method, the variable quantity of the main steam flow before and after the coal low calorific value is changed is obtained according to the mass and energy conservation principle of a unit after the coal low calorific value is changed, and then a quantitative calculation equation of the influence of the main steam flow change on the unit power generation power is obtained through derivation according to thermodynamics and the water vapor acting conversion principle; the calculation iteration thought is combined with a water vapor state equation and a variable working condition equation of steam turbine flow change to check the accuracy of main steam flow calculation, and then the purpose of quantitatively calculating the main steam flow of the peak shaving unit and the unit generation power after the coal heat value changes is achieved. The technical problem that the current boiler cannot quantitatively calculate the output power of the peak regulation unit according to the change of the fuel heat value is solved.

The present invention relates, in general, to systems and methods for generating hydrogen from ammonia on-board vehicles, where the produced hydrogen is used as fuel source for an internal combustion engine. The present invention utilizes an electric catalyst unit operating in series with a heat exchange catalyst unit. The electric catalyst unit is used to initiate an ammonia cracking process on-board during a cold start or low load operating condition of the internal combustion engine, where the ammonia cracking process occurs in the heat exchange catalyst unit once exhaust gas from the internal combustion engine has been heated to a threshold temperature suitable to perform the ammonia cracking process.

The invention relates to a prediction method and device for a flowing combustion behavior of a tunnel flowing fire, equipment and a medium, and the method comprises the steps: obtaining a prediction task, and determining a target tunnel feature and a target parameter; inputting the target parameter into a rate prediction model for calculation to obtain a target leakage rate in a second time period; determining a target combustion area in a future time period based on a preset first equation set and the target leakage rate in the second time period; based on the target tunnel characteristics, the target combustion area and the target leakage rate in the future time period, the tunnel flow fire parameter evolution data set and the target wind speed in the first time period, the target flame dragging length and the target flame inclination angle in the future time period are obtained through prediction. According to the method, the flame dragging length and the flame inclination angle of the tunnel flow fire in the future time period can be quickly predicted, so that the future evolution trend of the flame form is obtained, and a scientific basis is provided for emergency response of the tunnel flow fire.

A method includes combusting a fuel stream in a combustion unit in the presence of a first oxygen enriched carbon dioxide stream received from an anode of an electrolyzer to generate a hot flue gas stream comprising carbon dioxide, steam, unconsumed oxygen, NOx and SOx, cooling the hot flue gas stream in a heat exchanger by supplying a water stream to the heat exchanger as a heat transfer medium to generate a cooled flue gas stream effluent, processing the cooled flue gas stream effluent in one or more separation units to generate a carbon dioxide rich gas stream and a carbon dioxide lean gas stream, and passing the carbon dioxide rich gas stream to the anode of the electrolyzer to generate a second oxygen enriched carbon dioxide stream for sending to the combustion unit.

The invention relates to an inter-stage thermal separation equivalent simulation test method based on explosion impact, and belongs to the technical field of tests. According to a mass and energy conservation equation, an initial corresponding relation between # imgabs0 # and flow parameters is established; the advanced corresponding relation between the # imgabs1 # and the flow parameters is obtained; establishing a calculation formula of the # imgabs2 # and the # imgabs3 #; establishing a relation equation for equivalently replacing combustion of the rocket engine with explosion of the explosion shock tube; solving unknown parameters in the relation equation according to the relation equation of equivalently replacing combustion of the rocket engine with explosion of the explosion shock tube, and adjusting the parameters according to a solving result to realize a jet flow effect generated by equivalently replacing combustion of the rocket engine with explosion of the explosion shock tube; according to the invention, by modulating the initial parameters of the explosion shock tube, equivalence of pulsating pressure effects at different positions in the interstage section is realized in the process of simulating the work of the engine.

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.