9391 results about "Carbon dioxide" patented technology

The invention discloses a carbon emission intensity inversion and traceability method and system based on numerical simulation and a reduced-order model. The method comprises the following steps: constructing a full-size three-dimensional map; numerical simulation of pollutant diffusion is carried out according to map information and known environment conditions; reducing the order of the analog data through an intrinsic orthogonal decomposition method; establishing a carbon emission simulation database under the multi-working-condition variable environment based on the reduced-order model; the carbon dioxide concentration and meteorological data are measured in real time and on site, a simulation database is used as a supplement, and the intensity of a known emission source and the intensity and position of an unknown emission source are calculated by adopting a source item estimation method, a particle swarm algorithm and the like. According to the invention, full-size reduction of a limited area and high-precision small-scale carbon emission monitoring can be realized, and effective emission source tracing, intensity analysis, potential emission source prediction and the like can be carried out according to a small amount of field actual measurement data.

The invention discloses a monitoring point distribution method and device based on industrial park gas monitoring and a medium, and relates to the technical field of carbon monitoring, triangular mesh division is carried out based on DT triangular mesh division, and according to the difference of monitored areas, the DT triangular mesh division method is used for setting point distribution of the monitored areas, so that the monitoring point distribution accuracy is improved. At least one monitoring point is selected in each grid for carbon dioxide concentration monitoring, point distribution setting can be carried out in different area ranges of prevailing wind directions in different states, the optimal monitoring result can be obtained through the least carbon dioxide gas monitoring points, the accuracy and credibility of the final data result are improved, and the method is suitable for popularization and application. The problems that the current industrial park monitoring coverage range is not wide, the device cost is high, and improvement of the carbon monitoring device distribution position affects the accuracy of the carbon ground monitoring technology are solved.

Carbon Capture, Utilization, and Storage (CCUS) is a relatively new technology directed to mitigating climate change by reducing greenhouse gas emissions. Current and new government requirements require proof that carbon dioxide (CO2) is either sequestered in a stable form or safely stored for long periods of time. In instances when the CO2 is sequestered through mineral formation, the need for long-term monitoring can be reduced, as the stability of the sequestered CO2 is inherent based on a chemical change in subterranean rocks. The reactions between CO2 and rock formations are influenced by numerous factors, including temperature, pressure, fluid composition, and the mineralogy of the formation. Furthermore, these reactions occur over large spatial areas and long timescales, making them difficult to monitor directly. Methods and systems of the present disclosure, therefore, may use a combination of laboratory experiments, field monitoring, and modeling to provide convincing evidence of CO2 mineral sequestration.

The invention relates to the technical field of chemical engineering and machine learning, and provides a method for predicting the solubility of carbon dioxide in a deep-eutectic solvent based on a machine learning model, and the method comprises the steps: collecting CO2 solubility data, carrying out the coding and feature descriptor conversion of a deep-eutectic solvent molecular structure through an open-source chemoinformatics software package RDKit, and constructing a data set. Four algorithms of XGBoost, random forest, a deep neural network and a convolutional neural network are adopted to construct a model, and hyper-parameters are optimized through grid search and k-fold cross validation. After the model is trained, the prediction performance is evaluated, and the optimal model is selected for CO2 solubility prediction. The method improves prediction efficiency and accuracy, has strong adaptability and generalization ability, and provides an effective tool for formula optimization of the eutectic solvent and improvement of CO2 capture efficiency.

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.

Provided herein are systems and methods for use of carbon dioxide, such as carbon dioxide containing one or more contaminants, e.g., produced in processes where the carbon dioxide comes directly or indirectly from the atmosphere, in one or more systems to perform one or more processes that binds the carbon dioxide or one or more carbon dioxide reaction products with one or more reactants to produce one or more carbon dioxide sequestration products, for example, products that permanently sequester the carbon dioxide.

Disclosed herein are methods and systems for producing a liquefied methane product from a methane- and carbon dioxide-containing feed stream, in which a plurality of membrane stages comprising gas separation membranes that are more permeable to carbon dioxide than methane are used to remove carbon dioxide from the feed and form a retentate stream that is enriched in methane, said retentate stream being then cooled and liquefied to provide the liquefied methane product. In particular, the disclosed methods and systems may be used for producing liquefied biomethane from a biogas feed.

The invention discloses a carbon capture and energy storage and thermal power generation coupled energy comprehensive utilization system, which comprises a thermal power generation system, an energy storage system and a carbon capture system, and is characterized in that a compression energy storage unit of the energy storage system is coupled to a feed water heat regeneration unit of the thermal power generation system; an expansion energy release unit of the energy storage system is coupled to a steam turbine generator set of the thermal power generation system, and a steam-water cycle working medium in the thermal power generation system serves as a heat storage and cold storage medium of the carbon dioxide energy storage system. The carbon capture system is coupled between the thermal power generation system and the carbon dioxide energy storage system, captures carbon dioxide gas in the flue gas, inputs the carbon dioxide gas into the carbon dioxide energy storage system to serve as a circulating working medium, and heats the circulating working medium in the expansion energy release unit through waste heat of the flue gas. According to the scheme, the operation efficiency of the thermal power generation system and the operation efficiency of the carbon dioxide energy storage system can be improved, the overall energy utilization efficiency of the system can be improved, and meanwhile the emission amount of gas pollutants is reduced.

The invention relates to a purification device system and method for oxygen, nitrogen and crude neon and helium, based on a non-low-temperature gas purification technology, hydrogen removal of crude neon and helium is coupled with regeneration of a nitrogen deoxidizing adsorbent, purification of nitrogen is coupled with a regeneration process of removing carbon dioxide and water from oxygen, and linkage purification and impurity removal of oxygen, nitrogen and crude neon and helium can be carried out. Therefore, efficient purification of nitrogen, oxygen and crude neon and helium is achieved.

The invention belongs to the technical field of oil exploitation, and particularly relates to a method for determining the application limit of conglomerate oil reservoir carbon dioxide huff and puff and carbon dioxide-water displacement. The method solves the problem of low crude oil extraction efficiency caused by unreasonable application boundaries of carbon dioxide huff and puff and carbon dioxide-water displacement of conglomerate oil reservoirs at present. According to the technical scheme, the method comprises the steps that a conglomerate oil reservoir standard matrix and fractured cores are obtained, the cores are arranged according to a harmonic average method, the cores are sequentially loaded into a long core displacement device according to the arrangement sequence, and the initial state of the oil reservoir is established; respectively carrying out carbon dioxide huff and puff and carbon dioxide-water displacement experiments to obtain the crude oil exploitation efficiency of each experiment, establishing a fracture ratio and crude oil exploitation efficiency plate, and determining the application limit of the conglomerate oil reservoir carbon dioxide huff and puff and carbon dioxide-water displacement through the plate; according to the new method, an oil reservoir development scheme can be optimized, and higher economic benefits and operation flexibility are achieved.

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 belongs to the technical field of oil and gas field development engineering, and particularly relates to an experimental method and device for evaluating energy-increasing and permeation-increasing effects of thermal-assisted carbon dioxide huff and puff after shale oil reservoir fracturing. The experimental method comprises the following steps: S1, preparing a shale core sample: selecting two shale cores from the same geological reservoir, taking one as a fractured core and taking the other as a matrix core; s2, carrying out heat-assisted CO2 huff and puff simulation experiment test on the matrix rock core sample; carrying out a heat-assisted CO2 huff and puff simulation experiment test on the fractured rock core sample; and evaluating the energy increasing efficiency of the heat-assisted CO2 huff and puff and the permeation increasing effect on the artificial fracture. According to the experimental method, the limitation of evaluating the energy-increasing and permeability-increasing effect of the heat-assisted supercritical CO2 on the shale reservoir in the prior art is overcome, and the energy-increasing and permeability-increasing effect of the CO2 on the shale reservoir in the heat-assisted extraction process can be comprehensively and systematically evaluated.

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.

The invention discloses a waveguide array gas sensing system for high-sensitivity multi-gas detection. The waveguide array gas sensing system comprises a waveguide substrate, and a waveguide Bragg grating, a phase shift Bragg grating, a micro-ring resonator, a Mach-Zehnder interferometer, a waveguide array, an electric field regulation and control module and a signal processing unit which are arranged on the waveguide substrate. Through the waveguide array structure, topological optical protection adsorption and other technologies, the sensitivity and selectivity of methane, carbon dioxide and other gases are effectively improved, and accurate detection can be achieved in a complex environment; according to the invention, a topological optical principle is adopted, signal loss caused by environmental noise or surface defects is reduced, and the stability of the sensor is improved; according to the invention, automatic calibration and temperature and humidity compensation of the system are realized, and autonomy and operation convenience of the system are enhanced; the system has high environment adaptability and can stably work under different temperature and humidity conditions.

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 belongs to the technical field of carbon sequestration, and particularly relates to a fluidization reaction device and method for efficiently mineralizing carbon dioxide by solid waste, and the method comprises the following steps: pretreating the solid waste to obtain solid waste powder; the method comprises the following steps: atomizing an alkaline solvent into water mist, inputting CO2 gas and the water mist into a fluidized bed reactor by utilizing a fan, and adding solid waste powder into the fluidized bed reactor; the mass ratio of the water mist and the solid waste powder entering the fluidized bed reactor and the gas flow speed of the CO2 gas and the water mist are adjusted, gas-liquid-solid three-phase fluidization is conducted on the solid waste powder in the fluidized bed reactor under driving of the gas phase of the CO2 gas, and mineralization reaction is conducted; after full reaction, discharging solid waste powder by using a rotary discharging device, and drying the solid waste powder to constant weight by using a constant-temperature drying box to obtain an auxiliary cementing material; according to the method, the contact efficiency and the mass transfer rate of the solid waste and CO2 can be improved, the solid waste can quickly react with CO2 gas in the fluidized bed reactor, the reaction time is remarkably shortened, and the low cost and the high efficiency of the CO2 mineralization reaction of the solid waste powder are realized.

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 discloses a low-cost, large-quantity and efficient carbon dioxide curing method for a tailing filling body, which adopts a two-step carbon sequestration method and comprises the following steps of: firstly, grinding and screening a tailing raw material, and chemically exciting and activating; secondly, the activated tailings are subjected to first-step carbon sequestration through cooperation of a wet method and ultrasonic, and carbon sequestration tailings are prepared; then preparing a mine filling body by using the carbon sequestration tailings and cementing materials such as cement; and finally, through second-step carbon sequestration maintenance, the carbon sequestration filling body with the high carbon sequestration amount is obtained. The carbon sequestration in the first step can stimulate the carbonization and gelation activity of the tailings and increase the carbon sequestration amount on one hand, and nano calcium carbonate and silica gel formed in the prepared carbon sequestration tailings optimize the structural compactness of the filling body and improve various properties on the other hand. According to the carbon sequestration filling body prepared through the second step of carbon sequestration, the compressive strength of 3 days can reach 3 MPa or above, the compressive strength of 28 days can reach 5 MPa or above, the carbon sequestration amount can reach 13 wt.% or above, and the carbon sequestration filling body has the advantages of being simple in process, good in performance and low in cost.

The embodiment of the invention provides a method for directly trapping carbon dioxide from air. The method comprises the following steps: capturing carbon dioxide in air through an adsorber; after the carbon dioxide is captured, the interior of the adsorber is vacuumized for the first time; introducing water vapor into the adsorber to increase the pressure in the adsorber and increase the temperature of an adsorbent in the adsorber so as to desorb the carbon dioxide; the adsorber is vacuumized for the second time, and mixed gas formed by water vapor and carbon dioxide is obtained; and carrying out gas-liquid separation on the mixed gas to obtain carbon dioxide. The regeneration energy consumption of the adsorbent is reduced, and the concentration of the carbon dioxide product gas is improved.

A fracturing effect determination method for phase transition fracturing deep rock, comprising: obtaining initial data of a true triaxial rock of a fracture hole; fracturing true triaxial rock and obtaining acoustic emission information in the fracturing process; obtaining test data of the true triaxial rock after fracturing; inputting initial data and test data into a preset formula to generate test data; determining quantitative data of fracturing according to acoustic emission information and test data and determining the fracturing effect of true triaxial rock according to the quantitative data of fracturing. The method is implemented using a device comprising a carbon dioxide fracturing device, a true triaxial loading device, a fracturing starter, a storage tank, and a liquid filling device. The device is configured to achieve the quantitative optimization effect of the technical parameters required for the prevention and control measures of energy release in deep engineering rock mass

The invention relates to a carbon dioxide salt water layer geological storage site selection method and system, and belongs to the technical field of carbon dioxide energy conservation and emission reduction. The site selection method comprises the following steps: acquiring logging data and a geological data set of a target area, and identifying a potential salt water interval based on a preset rule; grading quantitative evaluation is carried out according to the identified potential salt water interval, and a corresponding evaluation index system is established; wherein the evaluation index system comprises a plurality of first-level evaluation indexes and a plurality of second-level evaluation indexes corresponding to each first-level evaluation index, and the first-level evaluation indexes comprise geological sequestration condition evaluation, sequestration capability condition evaluation and social environment condition evaluation; carrying out weight assignment on the evaluation indexes in the evaluation index system based on an index weight assignment method, and carrying out comprehensive quantitative evaluation to obtain a comprehensive evaluation score of each candidate target region; and taking the candidate target region with the highest comprehensive evaluation score as a storage site for geological storage of the carbon dioxide saline water layer. According to the invention, the scientificity and reliability of storage site selection can be improved.

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.