5851 results about "Carbon dioxide" patented technology

The invention discloses a carbon dioxide mineralization storage dynamic intelligent regulation and control and permeation enhancement optimization method and system. The optimization method comprises the following steps: collecting field monitoring injection parameters and related data of reaction products in a mineralization storage process in real time; according to injection parameters monitored on site and related data of reaction products, two optimization objective functions of mineralization rate and free CO2 volume are formed; constructing a mineralization sequestration multi-objective optimization model, and screening out an optimal injection parameter set value from the Pareto solution set to obtain an optimal condition parameter; optimal injection parameters in the Pareto optimal solution set are input into the constructed field enhancement regulation and control module, and control variables are adjusted in real time according to real-time changes of reservoir response, mineralization reaction process and injection working conditions; and fracturing transformation is conducted on the target storage rock mass, the seepage enhancement effect of the target storage rock mass is quantitatively evaluated, an injection scheme is dynamically updated based on the transformed reservoir parameters, and the mineralization regulation and control system is enhanced.

A gas-liquid contactor for capturing carbon dioxide (CO2) from atmospheric air includes an inlet; an outlet; a gas-sorbent interface disposed between the inlet and the outlet; a liquid distribution system configured to flow a CO2 capture solution along the gas-sorbent interface; a fan configured to flow the atmospheric air along a flow path from: the inlet, along the gas-sorbent interface, and to the outlet, to contact the atmospheric air with the CO2 capture solution and absorb CO2 from the atmospheric air into the CO2 capture solution to form a CO2-lean gas stream; and an electrostatic drift eliminator within the flow path downstream of the gas-sorbent interface and upstream of the outlet. The CO2-lean gas stream includes aerosols of the CO2 capture solution. The electrostatic drift eliminator is configured to ionize at least some of the aerosols of the CO2 capture solution to form ionized aerosols and collect the ionized aerosols.

The invention provides a heteroatom-doped porous carbon material for carbon dioxide adsorption as well as a preparation method and application thereof. The preparation method comprises the following steps: S1, drying and crushing waste biomass to obtain raw material powder; s2, mixing the raw material powder with an activating agent, and fully grinding to obtain a mixture of the raw material powder and the activating agent powder; s3, dissolving one or more heteroatom sources in hot deionized water to obtain a hot solution, pouring the mixture of the raw materials and the activator powder in the step S2 into the hot solution, and heating and stirring until water is evaporated; s4, performing high-temperature carbonization on the mixture finally obtained in the step S3 in an anoxic environment; and S5, cleaning and drying the product in the step S4 to obtain the heteroatom-doped porous carbon material. The heteroatom-doped porous carbon material disclosed by the invention has a highly developed pore structure, and the porous carbon prepared by taking the waste biomass as a precursor is used as a carbon dioxide adsorbent, so that high-value utilization of waste biomass resources is realized.

The invention provides methods and compositions for treating wash water from concrete production with carbon dioxide. The treated wash water can be reused as mix water in fresh batches of concrete.

The present disclosure provides a carbon dioxide absorption composition, which includes a solution of an amino compound in a solvent comprising water and a glycol, as well as a method of using such composition to capture CO2. The present composition can be particularly advantageous for indoor use, with additional benefit for managing total volatile organic compounds and humidity to enhance overall indoor air quality.

A direct air capture (DAC) system for capturing carbon dioxide (CO2) from a dilute gas source includes a gas-liquid contactor subsystem and a wash water regeneration subsystem. The gas-liquid contactor subsystem includes a capture section, a wash section, and at least one fan to produce a CO2-rich capture solution in the capture section and a used wash water stream in the wash section. The wash water regeneration subsystem is in fluid communication with the at least one gas-liquid contactor subsystem. The wash water regeneration subsystem receives at least a portion of the used wash water stream, regenerates the wash water stream, and flows the regenerated wash water stream to the wash section. The DAC system can include a capture solution regeneration subsystem receiving at least a portion of the CO2-rich capture solution, regenerate the CO2-rich capture solution, and flow the regenerated CO2 capture solution to the capture section.

Provided herein are methods and compositions for determining and reporting carbon dioxide sequestered and / or carbon dioxide avoided in operations involving concrete, including concrete raw material transport, concrete production, and concrete use.

A direct air capture (DAC) of CO2 system includes a reaction reactor having a solid, amine-functionalized sorbent configured to sequester CO2 from air; an in-situ dual-function device configured as a CO2 conversion reactor and an exchange fluid regeneration device; and the exchange fluid, recirculating between the reaction reactor and the dual-function device, configured to capture the sequestered CO2 from the solid sorbent in the reaction reactor and release the captured CO2 in the conversion reactor, the exchange fluid including one or more amino acids.

The invention provides a CO2 sequestration simulation method based on transfer learning and a physical information neural network, which aims at a geological carbon dioxide sequestration process by combining the transfer learning and the physical information neural network, and comprises the following steps of: simulating and generating data by using a Matlab oil reservoir simulation tool box, and constructing a neural network basic model; the physical law of carbon dioxide migration in the porous medium is trained and learned through coarse resolution, then fine tuning is performed on the generated actual geological model data by adopting a migration learning strategy to adapt to different geological structures and injection conditions, and a neural network loss function is embedded in combination with a Darwest equation and a mass conservation equation to obtain a carbon dioxide migration model. Compared with a traditional numerical simulation method, the method has the advantages that the calculation efficiency is remarkably improved while the prediction precision is kept, and the method is suitable for carbon dioxide sequestration optimization and environmental risk assessment under complex geological conditions and has good industrial popularization value and environmental benefits.

An atmospheric CO2 capture system includes a compartment housing a solid CO2 sorbent, an exchange fluid including a chemical component with selectivity towards CO2, and an electrochemical cell or mineralization reactor in fluid communication with the compartment, the system having a cycle including a first state of sorbing CO2 from incoming air onto the solid CO2 sorbent until a saturation point is reached; a second state of regenerating the sorbent by flooding the compartment with the exchange fluid to detach CO2 from the saturated sorbent and bind the detached CO2 to the chemical component; and a third state of regenerating the chemical component and utilizing the CO2 in the electrochemical cell or mineralization reactor.

The invention relates to the technical field of pepper breeding regulation and control, and discloses a pepper breeding isolation shed control system based on the Internet of Things. The system comprises an environment data acquisition module, a user behavior analysis module, an isolation shed partition module, a dynamic baseline generation module, an abnormal interaction detection module, a root node decision module and a recommendation chain construction module. The environment data acquisition module acquires temperature, humidity, illumination intensity and carbon dioxide concentration data in the greenhouse in real time; the user behavior analysis module analyzes a user historical regulation and control instruction; the isolation shed partition module divides regulation and control sub-regions according to environmental differences; a dynamic baseline generation module generates a dynamic environment parameter baseline for each sub-region; the abnormal interaction detection module identifies abnormal environment fluctuation and instructions; a root node decision module screens a root node area with most significant fluctuation; the recommendation chain construction module constructs a multi-level regulation and control recommendation chain. According to the system, the accuracy and intelligence of environment regulation and control of the isolation shed are improved, and the pepper breeding requirement is met.

A method and a system for optimization of development by carbon dioxide injection based on incomplete miscibility characteristics are provided, where the method includes following steps: building a three-dimensional reservoir model based on laboratory experiments and reservoir values, where the three-dimensional reservoir model includes: a fluid model and a reservoir model; based on the three-dimensional reservoir model, obtaining incomplete miscibility characteristics of reservoir development by carbon dioxide injection; and completing whole life cycle optimization development of carbon dioxide injection based on the incomplete miscibility characteristics.

The invention relates to a method for constructing a high-resolution atmosphere carbon dioxide concentration data set based on XGBoost-BO, and belongs to the technical field of environment monitoring and artificial intelligence modeling. The method comprises the following steps: preprocessing OCO-2 satellite data and multi-source auxiliary data, and fusing the preprocessed OCO-2 satellite data and multi-source auxiliary data to obtain a new data set; a Bayesian optimization method is adopted to search for an optimal hyper-parameter, a target function is optimized through second-order Taylor expansion, a regular term is introduced to control the complexity of the model, and ten-fold cross validation is used to evaluate the performance of the model; quantizing the contribution degree of each feature to model prediction through a tree SHAP method, and analyzing global feature importance ranking and feature contribution distribution of individual samples; and performing model verification by using the test set and the site actual measurement data. According to the method, the problems that an existing model-based reconstruction method is insufficient in interpretation and prone to falling into local optimum are solved, and the temporal-spatial resolution of CO2 concentration monitoring can be improved.

The invention provides a mosquito detection and cooperative killing system and method.The mosquito detection and cooperative killing system comprises a bionic multi-mode sensor array and a dynamic feedback killing device, and the bionic multi-mode sensor array comprises an infrared sensing module used for simulating human skin radiation characteristics; the CO2 concentration gradient sensor is used for detecting the change of the concentration of carbon dioxide and activating the directional scanning of the infrared sensing module; the odor molecule release device is used for triggering a mosquito approaching behavior; the dynamic feedback killing device is used for starting the laser mosquito killing module and killing mosquitoes through infrared positioning coordinates. According to the technical scheme, the mosquito killing effect is improved.

A carbon dioxide (CO2) stream reacts with an amine-modified magnetic nanoparticle in solution to form an amine-CO2 adduct. The solution that includes the amine-modified magnetic nanoparticle is heated by an external alternating magnetic field. The heat provided by the external alternating magnetic field is localized such that only the amine-CO2 adduct is heated to release the CO2, without heating the entire solution. This process helps with the capture and release of CO2 with a significantly reduced energy during the CO2 release step.

The invention discloses an oil reservoir carbon dioxide geological sequestration process parameter multi-objective optimization method, and relates to the technical field of oil exploitation, and the method comprises the steps: employing an oil reservoir carbon dioxide geological sequestration effect prediction data set to train a variational automatic coding-deep belief neural network model, a reservoir carbon dioxide geological sequestration effect prediction agent model is obtained; constructing an oil reservoir carbon dioxide geological sequestration effect optimization model according to the safety risk coefficient, the effective sequestration coefficient and the benefit optimization coefficient; the reservoir carbon dioxide geological sequestration effect prediction agent model is combined, a non-dominated sorting genetic algorithm is utilized, and a reservoir carbon dioxide geological sequestration process parameter multi-objective optimization mathematical model is solved. The constructed reservoir carbon dioxide geological sequestration process parameter multi-objective optimization mathematical model aims at sequestration safety, potential and economy; and the optimization precision and efficiency of the oil reservoir carbon dioxide geological sequestration process parameters are improved.

The invention relates to the technical field of safety and environmental protection, in particular to a negative-pressure circulating explosion-control dust removal method suitable for combustible dust places, which comprises the following steps: firstly, sealing a bin body and injecting carbon dioxide-nitrogen inert gas to generate a low-oxygen environment; then, a flow guide angle-adjustable cyclone separator, a dielectric barrier discharge plasma reactor and a waste heat thermo-acoustic transducer are driven to cooperatively capture dust, and sound node amplitude synthesis capture data are obtained through compressed sensing of a microphone; inputting the environment data and the capture data into a reinforcement learning process containing a micro-thermochemistry model, and outputting instructions for adjusting negative pressure pulse, inert flow, sound field intensity and cyclone geometry; in combination with distributed radio frequency imaging data, an adversarial digital twinborn model is generated to predict explosion free energy, and automatic rollback or shutdown is carried out when the explosion free energy exceeds a threshold, so that a safe, efficient and low-energy-consumption closed loop is formed.

Systems and methods of the present disclosure includes a mixer configured to mix air and hydrocarbons and a burner configured to receive the mixed air and hydrocarbons and to generate syngas. The system also includes a cooling system configured to receive the syngas and to cool the syngas to form cooled syngas. The system further includes a collector configured to collect carbon from the cooled syngas as soot. Moreover, the system includes a flare stack configured to receive the cooled syngas and to burn off at least part of the cooled syngas.

The invention discloses a carbon dioxide sequestration prediction method and device based on mechanism and data fusion driving. The method comprises the steps that reservoir parameters, well parameters and fluid parameters of a shale reservoir are obtained; establishing a multi-scale seepage control model according to the reservoir parameters, the well parameters and the fluid parameters; embedding the multi-scale seepage control model into a pre-trained carbon dioxide sequestration deep learning model to obtain a shale reservoir carbon dioxide sequestration prediction model; and carrying out sealing prediction on the reservoir parameters, the well parameters and the fluid parameters through the shale reservoir carbon dioxide sealing prediction model to obtain a prediction result.

The invention provides a mineralization grouting method for reinforcing sequestration of carbon dioxide, and belongs to the technical field of underground goaf grouting filling, the working process comprises the steps that supercritical CO2, micro-nano filler and calcium-containing solid waste are jointly mixed and mixed into slurry, the slurry is injected into a goaf, part of CO2 is turned into a gaseous state to escape in the state of being lower than the supercritical pressure of CO2, and then the CO2 is discharged; bubble cores are formed on the surface of the micro-nano filler, and uniformly distributed micropores are formed in a stone body after the slurry is solidified. Due to the fact that the micropores can seal gaseous CO2, the carbon sequestration amount of the slurry per cubic meter can reach 150-350 kg, and the carbon sequestration capacity of the slurry is higher than the carbon sequestration capacity of a common grouting material. The technological method is easy to operate, supercritical CO2 reacts with the slurry, a large amount of CO2 in the shallow goaf is stored, the solid waste material is used for grouting, meanwhile, the carbon sequestration amount of the slurry is increased, and the grouting cost is saved.

An atmospheric CO2 capture system includes a compartment housing a solid CO2 sorbent, an exchange fluid including a chemical component with selectivity towards CO2, and an electrochemical cell or mineralization reactor in fluid communication with the compartment, the system having a cycle including a first state of sorbing CO2 from incoming air onto the solid CO2 sorbent until a saturation point is reached; a second state of regenerating the sorbent by flooding the compartment with the exchange fluid to detach CO2 from the saturated sorbent and bind the detached CO2 to the chemical component; and a third state of regenerating the chemical component and utilizing the CO2 in the electrochemical cell or mineralization reactor.

The invention discloses a method for adjusting carbon dioxide in a mushroom house based on multi-modal growth stage recognition. The method comprises the following steps: S1, obtaining pre-processed mushroom house environment data and pre-processed mushroom house multi-modal image data; s2, outputting a mushroom growth stage classification label and a mushroom growth stage confidence vector; s3, constructing a multi-target fitness function according to a stage sensing result and generating a stage weight group; s4, obtaining an optimal gas regulation control strategy; s5, adjusting the carbon dioxide concentration of the mushroom house according to the optimal gas adjusting control strategy; and S6, calculating an environmental stability index, triggering the whale optimization algorithm to re-execute the steps S4 to S6 when the environmental stability index exceeds a limit or the confidence vector in the mushroom growth stage is lower than a threshold value, and circularly executing the steps S1 to S6 in the whole mushroom house production period. According to the method, the problems of premature convergence and local optimization are effectively avoided, and the environmental adaptability and the energy consumption optimization effect of a gas regulation strategy are improved.

The utility model provides a cyclically-operated carbon dioxide trapping device. A shell of the cyclically-operated carbon dioxide trapping device is connected with an air inlet pipeline, an air outlet pipeline and an exhaust pipeline; the shell is internally provided with a reaction box body, the reaction box body is provided with two reaction cabins, and each reaction cabin is internally provided with a fan, a heater and a carbon dioxide adsorption structure; the air inlet pipeline is connected to the air inlets of the two reaction cabins and is close to the draught fan, the draught fan is used for sucking indoor air into the corresponding reaction box bodies and enabling the indoor air to flow through the heater and the carbon dioxide adsorption structure, and the carbon dioxide adsorption structure is used for adsorbing carbon dioxide in the flowing air; the heater is used for heating flowing air and desorbing carbon dioxide adsorbed in the carbon dioxide adsorption structure; and the two reaction cabins alternately perform adsorption and desorption of carbon dioxide. The device is convenient to operate and can continuously and efficiently control the concentration of indoor carbon dioxide.

The present invention discloses a multi-channel comprehensive monitoring method for carbon emissions. The method includes: obtaining global-scale atmospheric carbon dioxide concentration and distribution, gas column concentration, and concentration data at preset fixed points; inputting them into the software platform of the carbon emissions monitoring system for visual monitoring; determining whether they are within their respective preset ranges, adding additional fixed points in areas exceeding the preset range, arranging carbon dioxide emission detectors, and using electric drones to fly to obtain atmospheric carbon dioxide concentration and total emissions data; the software platform of the carbon emissions monitoring system conducts real-time monitoring to realize the monitoring of the distribution and change trend of atmospheric carbon dioxide in a three-dimensional environment. The present invention improves the defects of low accuracy and low spatio-temporal resolution of existing carbon emissions monitoring means, realizes a multi-channel carbon emissions data assimilation scheme, provides an effective means for accurately estimating regional and point-source carbon emissions, and improves the reliability of greenhouse gas emission accounting.

The invention provides methods and compositions for treating wash water from concrete production with carbon dioxide. The treated wash water can be reused as mix water in fresh batches of concrete.

The invention relates to the technical field of environmental monitoring, and discloses a method for reconstructing carbon dioxide concentration enhancement based on multi-source satellite data, which comprises the following operation steps: collecting environmental information such as carbon dioxide dry air column concentration, nitrogen dioxide total column concentration, population density, land utilization, weather and the like to construct an environmental database; pre-processing the collected multi-source data to ensure time-space consistency; according to the population density of the region, the total column concentration of nitrogen dioxide and the land utilization type, setting a threshold value, and dividing the target region into a discharge region and a background region; constructing a background concentration reconstruction model, inverting the carbon dioxide background concentration, and calculating a residual error with actually measured carbon dioxide to obtain a carbon dioxide concentration enhanced sample; based on the carbon dioxide concentration enhanced sample, a concentration enhanced reconstruction model is constructed, and high-resolution carbon dioxide concentration enhanced spatial-temporal distribution is obtained. According to the method, high-frequency monitoring of the carbon source in the region can be realized spatially, and powerful support is provided for dynamic tracking of carbon emission.

The invention relates to a non-linear seepage experiment method for gas breaking through a cover layer based on dark field imaging. The method comprises the following steps: placing a microfluidic rock chip on an objective table of a dark field scattering microscope; the injection end of the microfluidic rock chip is connected with a fluid injection module, and the outlet end of the microfluidic rock chip is connected with a downstream outflow pipeline; injecting the formation water solution into the micro-fluidic rock chip until the micro-fluidic rock chip is filled with the formation water solution; opening a gas injection system, and adjusting the dark field scattering microscope until a clear image of a micro-fluidic rock chip pore structure and carbon dioxide displacement formation water is obtained; injecting carbon dioxide with different pressures into the micro-fluidic rock chip, and observing nonlinear seepage migration images of carbon dioxide and formation water in the micro-fluidic rock chip; when it is observed that carbon dioxide migrates to the outlet end of the rock chip, the breakthrough moment is obtained, and the upstream and downstream pressure difference value of the microfluidic rock chip is the breakthrough pressure. According to the method, the nonlinear seepage of the carbon dioxide displacement formation water in the nanopores can be accurately observed, and the breakthrough pressure can be determined.

The invention relates to the technical field of mine solid waste treatment and carbon dioxide sealing and storage, and particularly discloses a system and a method for sealing and storing carbon dioxide by utilizing coal-based solid waste and mine water to prepare slurry. The system comprises a cement bin, a gangue bin, a coal ash bin, a gasified slag bin, a mine water storage tank, a stirring reaction kettle, a carbon dioxide storage tank, a slurry temporary storage tank, a vacuum pump and a slurry pump, and the stability and adsorption efficiency of carbon dioxide fixation are improved in the mode that coal-based solid waste, mine water and carbon dioxide are subjected to chemical reaction and physical adsorption; meanwhile, the prepared backfill slurry has high-strength anti-pressure ability, the stability of the backfilled underground goaf is better improved, further, coal-based solid waste and mine water are utilized for waste recycling, and the carbon dioxide storage cost is reduced.

The invention discloses an early warning method and device for carbon dioxide leakage, an electronic device and a computer program product, and relates to the technical field of early warning, the early warning method for carbon dioxide leakage comprises the following steps: obtaining monitoring data obtained by monitoring parameters in a target geological layer by a plurality of sensors, the parameters at least comprising gas concentration and pressure, and the parameters at least comprising gas concentration and pressure; the temperatures, the pH values and the types of the plurality of sensors are different, and the target geological strata represents the geological strata for sequestration of carbon dioxide; the monitoring data are input into a carbon dioxide sequestration leakage model, an output result of the carbon dioxide sequestration leakage model is obtained, and the carbon dioxide sequestration leakage model is used for detecting whether carbon dioxide leakage occurs or not; and when it is determined that the output result indicates that the carbon dioxide leakage occurs in the target geological layer, performing early warning on the target object. By adopting the technical scheme, the problem of how to perform early warning in time under the condition of carbon dioxide leakage is solved.

A gas-liquid contactor for capturing carbon dioxide from atmospheric air includes at least one inlet; at least one outlet spaced apart from the at least one inlet; a gas-sorbent interface disposed between the at least one inlet and the at least one outlet; a liquid distribution system configured to flow a CO2 capture solution along the gas-sorbent interface; at least one gas-circulating device configured to flow atmospheric air along a flow path to contact the atmospheric air with the CO2 capture solution and absorb CO2 from the atmospheric air into the CO2 capture solution to form a CO2-lean gas stream flowable through the at least one outlet, wherein the CO2-lean gas stream is deflected from a downward direction to an upward direction causing at least a portion of aerosolized particles in the CO2-lean gas stream to exit said CO2-lean gas stream upstream of the at least one outlet.