438 results about "Gas composition" patented technology

The invention discloses an intelligent gas micro-differential pressure monitoring system based on multi-sensor fusion, and relates to the technical field of gas micro-differential pressure monitoring, a sensor network arranged at a pipeline collects and verifies process state data, a component fluctuation index is established to quantify the fluctuation degree of gas components, and if the component fluctuation index is abnormal, the component fluctuation index is determined to be abnormal. Calling a dynamic physical property compensation function to output a correction coefficient and a differential pressure reference value; if the accumulative deviation between the actually measured differential pressure and the theoretical differential pressure reference value exceeds a set threshold value, locally adjusting and optimizing or globally re-calibrating and updating the model; outputting a real-time correction value and deviation measurement through a fusion algorithm, and when an error continuously exceeds the standard, dynamically adjusting a fusion weight or triggering model calibration; if the obtained value exceeds the preset threshold value, early warning or alarming is sent out and fed back to the previous step.

The invention discloses a toxic and harmful substance leakage reinspection method, device and equipment based on an unmanned aerial vehicle, and a storage medium, relates to the technical field of Internet of Things and intelligent factories, and aims to solve the problem that the detection accuracy and efficiency of toxic and harmful substances are low. The method comprises the following steps: dividing a target area into a plurality of grids, and acquiring initial gas concentration data of each grid in real time through a fixed foundation sensing array; the grids with the initial gas concentration data larger than the preset concentration are determined as abnormal grids, and a reinspection flight path is dynamically generated according to the unmanned aerial vehicle parking position, the abnormal grid position and the environment parameters; the unmanned aerial vehicle is controlled to fly to the abnormal grid according to the reinspection flight path, and multi-dimensional data including visible light images, infrared thermal imaging data, gas component spectrums and space coordinate data of the abnormal grid are collected; and fusing the initial gas concentration data and the multi-dimensional data of the abnormal grid, constructing a three-dimensional dynamic concentration field model, and outputting leakage source position information and a diffusion trend.

The invention belongs to the technical field of metallurgical process control, and discloses a multi-sensor fused intelligent control system and method for the titanium reduction process of fine iron powder. The method aims at solving the problem that local carbon deposition is difficult to monitor and inhibit in real time in a traditional process. The method comprises the following steps of: constructing an in-furnace reaction thermodynamic constraint diagram by acquiring in-furnace temperature distribution, gas component distribution, a furnace wall vibration signal and a local pressure signal, and dividing an in-furnace region into a plurality of reaction front subregions according to the in-furnace reaction thermodynamic constraint diagram; in each partition, the system constructs a carbon deposition triggering network based on vibration-pressure coupling, the carbon deposition triggering probability is accurately calculated, and then a targeted self-adaptive gas injection strategy is generated. By globally optimizing gas injection parameters, real-time inhibition of local carbon deposition and effective separation of titanium in the titanium reduction process of the fine iron powder are achieved. According to the invention, the agglomeration phenomenon of the fine iron powder is reduced, the smoothness of a gas channel is kept, and the titanium recovery rate and the product quality are improved.

The invention discloses a multi-component gas detection device and method based on a metasurface quasi-continuous domain bound state. The advanced nanometer manufacturing technology and the deep learning algorithm are adopted, and high-precision, high-sensitivity and high-selectivity gas detection is achieved. According to the invention, the metasurface array with specific design is utilized, and the quasi-continuous domain bound state in the middle-infrared band is realized by accurately regulating and controlling the geometric parameters and material characteristics of the microstructure, so that excellent optical response is obtained. In combination with a deep learning algorithm, complex spectral information is converted into accurate gas composition and concentration information, and a reliable solution is provided for the fields of environmental monitoring, industrial production, safety monitoring and the like.

The invention provides a methane recovery and purification system in intelligent cleaning equipment, which relates to the technical field of environmental protection, and is characterized in that methane-containing gas is collected from the cleaning equipment, moisture and small particles in the gas are removed to obtain preliminarily purified gas, and then methane is separated and recovered by using a separation technology to obtain purified gas. And the purified methanol is obtained through multi-stage purification treatment. According to the methane recovery technology, a time sequence of gas components, a time sequence of physical properties and a time sequence of process parameters need to be obtained, and local time sequence coding and causal context time sequence aggregation are carried out, so that a separation technology recommendation result is recommended, and operation parameters are dynamically adjusted. Therefore, subjective experience can be abandoned, gas characteristics and process requirements are monitored in real time and accurately matched, the accuracy and objectivity of separation technology selection are improved, and it is ensured that the separation process is always in the optimal state.

The invention provides an intelligent laboratory deodorization gas purification system. The intelligent laboratory deodorization gas purification system comprises a data collection module, a data analysis module, a purification control module, a risk assessment module and a hazardous gas database, the data collection module collects gas data, particulate matter data and gas component data in an experimental environment through a laser gas detection sensor, a gas particle detection sensor and a gas component detection sensor, and feeds back the collected data to the data analysis module; the data analysis module judges the gas content in the experimental environment according to the gas data, the particulate matter data and the gas component data; if it is monitored that the concentration of the hazardous gas is lower than a set threshold value, a first purification control signal is generated and transmitted to the purification control module; and if the dangerous gas concentration is monitored to be higher than the set threshold value, generating a second purification control signal, and transmitting the second purification control signal to the risk assessment module.

The invention discloses a gas purification real-time monitoring method, system and device and a medium, and belongs to the technical field of gas purification. The method comprises the following steps: a data acquisition stage: acquiring inlet gas flow and outlet component data; in the adsorbent state monitoring stage, the adsorbent state is monitored in real time through the monitoring point position in the adsorption barrel; in the adsorption capacity calculation stage, the residual adsorption capacity is predicted through an impurity penetration curve model on the basis of inlet flow and outlet component data, and bidirectional verification and correction are carried out on the residual adsorption capacity and an internal monitoring state; in the regeneration time prediction stage, the optimal regeneration time is dynamically predicted according to discharged gas component analysis and residual adsorption capacity; in the real-time regulation and control stage, parameters of the purifier and the regenerative heater are adjusted in real time according to the prediction result. Accurate evaluation of the state of the adsorption cylinder and intelligent optimization of the regeneration process are achieved, the utilization rate of the adsorption cylinder is remarkably increased, and the total energy consumption of regeneration is reduced.

A control system for controlling extraction of landfill gas from a landfill via a gas extraction system comprising well piping, the landfill gas having a first temperature when extracted, the control system comprising: a gas composition chamber coupled to the well piping and comprising at least one sensor configured to measure one or more characteristics of a landfill gas sample in the gas composition chamber; a temperature control mechanism configured to heat the landfill gas sample in the gas composition chamber to a second temperature at least a threshold amount greater than the first temperature; and a controller configured to control the at least one sensor to measure the one or more characteristics of the landfill gas sample in the gas composition chamber when a temperature of the landfill gas sample in the gas composition chamber is at least the threshold amount greater than the first temperature.

A panoramic scanning coal fire detection and disaster early-warning, prevention and control apparatus for a mining area, the apparatus comprising a detection apparatus, a laser scanning apparatus, a satellite remote-sensing monitoring apparatus, a data processing and analysis system, and an early-warning, prevention and control apparatus. High-precision thermistor temperature sensors (1) are arranged inside, on the surface and in surrounding areas of coal piles, such that subtle changes in the temperature of the coal piles can be accurately captured, and early-stage potential coal fire hazards can be effectively detected; gas sensors (2) installed at vents of a mining area can simultaneously measure the concentrations of gases such as carbon monoxide, carbon dioxide, methane and sulfur dioxide, so as to promptly identify anomalies in gas composition that are caused by coal fire combustion; an infrared thermal imager (3), which is located at a high position to acquire a panoramic view of the mining area, can clearly display high-temperature regions; and cameras (4) provide high-definition, wide-angle and low-illumination visual monitoring, and various sensors comprehensively collect data from different dimensions, thereby greatly improving the accuracy and comprehensiveness of monitoring.

The invention belongs to the technical field of coal mine fire prevention and extinguishing, and particularly provides a coal mine goaf fire simulation experiment device and method. Comprising an experiment table groove body, a working face channel, an air inlet way, an air return way, a ventilation system, a goaf groove body, a water bath heating and heat preservation system, a goaf temperature simulation system, a distributed temperature acquisition system, a goaf gas environment simulation system and a gas acquisition system. According to the invention, the inclination pitching angle, the coal rock porosity, the goaf ignition position, the internal gas components and the like of the goaf can be simulated according to the actual conditions of different working surfaces of each coal mine, and the evolutionary process of the spontaneous ignition accident of the goaf is realized. According to experimental data, development and change states of internal temperature, gas components and the like of the goaf of each coal mine can be determined, key fire prevention and control areas of the goaf in each period of coal mining are found out, early warning is performed in advance, and life and property safety of underground personnel is guaranteed.

The invention belongs to the technical field of industrial combustion safety control, and provides a double-channel industrial furnace gas combustion safety interlocking control system which comprises a gas / air flow ratio dynamic monitoring module, a flue CO concentration online detection module, a double-channel data conflict arbitration processor and a visual human-computer interface. Aiming at the prominent problems of incomplete combustion of coal gas, carbon deposition, detonation risk and the like which are easy to occur under the working condition of accelerated temperature rise, the system integrates visual double-insurance safety control of dynamic calculation of a flow ratio and real-time analysis of tail gas components, and all-directional safety protection in the combustion process is realized through a multi-parameter cooperative monitoring and intelligent interlocking mechanism; the detonation risk is obviously reduced; meanwhile, the air-fuel ratio fluctuation is accurately controlled within the range of + / -5%, and the carbon deposition phenomenon is effectively reduced; and remarkable economic benefits are created while reliable operation of equipment is guaranteed.

A gas measuring device (100) for analyzing a gas mixture (310) and monitoring an environment (300) has a housing (110) for delimiting a measurement interior volume (120) and / or for separating the measurement interior volume (120) from the environment (300) containing the gas mixture (310). The housing has a gas inlet (111) and a gas outlet (112) for respective fluid-conducting connection between the measurement interior volume (120) and the environment (300), and an electrochemical gas sensor unit, which is arranged within the measurement interior volume (120), and which serves for determining a concentration of a gas fraction, in particular an oxygen fraction, contained in the gas mixture (310).The gas measuring device (100) has a heating element (220) and with an open-loop and / or closed-loop control system (230) to increase or maintain an interior temperature (TI) of the measurement interior volume (120) and settable by means of the control system (230).

The invention relates to a sensor arrangement and a measuring method for measuring the respective concentrations of three gas components in a gas sample (Gp). One gas component is a paramagnetic gas. The gas sample (Gp) is passed through a measuring chamber (2). A magnetic field with an oscillating magnetic field strength is applied to the measuring chamber (2). The thermal conductivity of the gas sample (Gp) and the magnetically modulated thermal conductivity of the gas sample in the measuring chamber (2) are measured. The three concentrations of the three gas components are determined using predetermined densities of the three gas components, as well as the measured thermal conductivity, the measured magnetically modulated thermal conductivity, and the measured density.

The invention relates to the technical field of risk management and control, in particular to a laboratory dangerous chemical whole-process risk management and control method and system based on an AI large model. Under the condition that the gas concentration does not exceed the standard, the potential chemical reaction risk is predicted by depending on the gas component proportion, the reaction triggering condition and the environmental data, the potential safety hazard problem caused by the potential reaction is solved, the gas diffusion speed and the toxicity grade of the reaction product are combined through real-time monitoring and analysis of each control sub-region, and the safety of the reaction product is improved. According to the method, the reaction risk probability and the delay risk probability can be accurately calculated, an effective early warning signal and a management and control instruction are generated before the risk occurs, and the real-time performance and accuracy of laboratory safety management are remarkably improved, so that the pre-judgment and response capability of a laboratory to dangerous chemical leakage and reaction risk is effectively improved, and the safety of the laboratory is improved. Preventive measures can be taken when potential dangers do not appear, so that safety accidents are avoided.

The invention discloses a gas-steam boiler energy supply efficiency optimization method and system, and relates to the technical field of boiler control, and the method comprises the steps: collecting gas component data in real time, synchronously obtaining boiler operation parameters, and carrying out the data preprocessing of the gas component data and the boiler operation parameters to generate a standardized input matrix; real-time operation data flow of the boiler is obtained and input into the trained neural differential equation prediction model, and a state prediction sequence in a future time domain is obtained through calculation and transmitted to the dynamic optimization controller; in the dynamic optimization controller, a rolling horizon optimization problem is constructed based on a state prediction sequence, a control instruction set is converted into a physical operation quantity, a regulation gas flow, a combustion-supporting air quantity and a water supply flow through an execution mechanism, and after the boiler operation state is updated, actual operation data is fed back to a constraint updating process. Through dynamic coupling physical constraint and data driving, the real-time performance, adaptability and physical consistency of boiler energy efficiency optimization are remarkably improved.

The invention relates to a stratum gas sampling method, belongs to the technical field of drilling equipment, and solves one of the problems that in a drilling rescue gas production method in the prior art, decision-making and rescue efficiency is influenced, the matching precision of gas production and drilling depth is low, gas purity is poor, detection data is distorted, and gas transmission efficiency is influenced by an unsmooth gas path along with vibration of a drill bit. The method comprises the steps that 1, a drilling point position is selected, and a drilling unit is controlled to drill downwards to the designated depth of the stratum; 2, a sampling unit extends into the designated depth along with the drilling unit, and the sampling unit is started to collect formation gas; 3, conveying the collected gas to a detection unit, and analyzing gas components through the detection unit; and 4, displaying an analysis result on a display unit, and making a decision by an operator. Drilling and gas production are integrated, the matching precision of gas production and drilling depth is improved, gas transmission is smooth, and the detection precision is high.

The invention discloses a water mist nozzle adjusting method, computer equipment and water mist fire extinguishing equipment. The method comprises the steps that environment information of a target fire area is collected, and the environment information comprises at least one of gas components, temperature distribution and a flame profile; processing the environment information based on a preset deep learning algorithm, and determining fire features; determining a target angle of a water mist nozzle based on the fire features; and adjusting the water mist nozzle based on the target angle. The technical problem that at present, a fixed spray head is usually adopted for fire extinguishing in limited spaces such as underground tunnels, hidden areas such as cable interlayers cannot be covered due to the fixed angle, and fire reignition is caused is solved.

The invention belongs to the technical field of exhaled gas analysis, and particularly relates to an exhaled gas composition for identifying taste sensitivity and a screening method and application thereof. The taste sensitivities of individuals of different age groups are collected by adopting a sensory evaluation method, volatile compound components in exhaled gas are analyzed by adopting high-resolution mass spectrometry, and characteristic exhaled gas markers remarkably related to the taste sensitivities are screened by adopting difference analysis and correlation analysis. Therefore, the exhaled gas marker combination obtained through screening is used for identifying the individual taste sensitivity, and the method has the advantages of being convenient to sample, non-invasive, high in subject acceptability and wide in application range.

The invention relates to the technical field of underground hydrogen storage, and discloses an underground hydrogen storage prediction method coupled with a chemical reaction. The method comprises the following steps: determining the hydrogen leakage flux of the underground hydrogen storage according to reservoir information of the underground hydrogen storage based on the Darcy law; according to three-phase substances including mineral composition, solution composition and gas composition of the underground hydrogen storage, a physical model containing a mineral-fluid-gas storage three-phase substance equilibrium relation of the underground hydrogen storage is established by utilizing the law of conservation of substances; according to the dissolution trends of different minerals in the underground hydrogen storage under the hydrogen-fluid-rock chemical reaction system, a dissolution kinetic model of the different minerals is established; and according to the hydrogen leakage flux, the coupling physical model and the dissolution kinetic model, obtaining the change conditions of mineral composition, solution composition and gas composition in the underground hydrogen storage library caused by hydrogen-fluid-rock chemical reaction under the hydrogen leakage flux, so as to predict the hydrogen storage condition of the underground hydrogen storage library.

Thermogravimetric Reactor (TGR) and process to study weight change behavior of carbonaceous solids / catalysts during thermo-chemical reactions in gaseous environment up to the maximum operating temperature of 1000° C. and at atmospheric pressure are disclosed. The device includes a vertical tube reactor, digital weighing balance, gas feeding system equipped with volumetric flow controllers, rotameters, isolation valves and non-return valves to introduce inert and reactive gases and their mixtures to the reactor. It also has a movable electrical furnace heater for sudden heating / cooling of sample as per requirement. It also has sample feeding / loading system comprising containers of different sizes and shapes with a hanging arrangement There is arrangement to test the product gas composition with on line gas analyzer in the exit line or collecting the outgoing gas from the sampling port for off line gas analysis. The system also has control panel to store and display data including process parameters.

A calorific value derivation system is provided with a gas supply facility having a first transmission control unit for transmitting gas component information to a center server, a center server having: an information calculation unit for calculating the gas component information of the gas supply facility, and a gas meter for calculating the gas component information of the gas supply facility; a calculation unit that calculates fuel gas heat relationship information indicating a relationship between a characteristic of the fuel gas and a heat generation amount on the basis of the fuel gas component information, and recalculates the fuel gas heat relationship information in accordance with a change in the fuel gas component information; and a second transmission control unit that transmits the gas heat relationship information to a gas meter, the gas meter having: a flow rate measurement unit that measures the flow rate of the gas on the basis of the characteristics of the gas; a heat coefficient calculation unit that calculates a heat coefficient on the basis of the gas heat relationship information; a calorific value acquisition unit that acquires instantaneous calorific values on the basis of the flow rate of the fuel gas and the calorific value coefficient, and that acquires the calorific value of the fuel gas by integrating the instantaneous calorific values at predetermined time intervals; and a third transmission control unit that transmits the flow rate and the heat generation amount to the center server.

The present invention provides a method and device for evaluating the extraction capacity of water-soluble helium from a natural gas layer. This method, which belongs to the field of oil and gas resource evaluation technology, addresses the existing problems of being unable to simulate the extraction of helium from natural gas under real geological conditions and the inability to quantitatively evaluate the extraction capacity. The method comprises a natural gas preparation area, a helium solution preparation area, a blending box, and a test cylinder. The blending box is provided with at least two blending tanks, one of which is connected to the natural gas preparation area and the other to the helium solution preparation area. The test cylinder is provided with a piston having an inlet and an outlet. The outlet is connected to a gas composition detection device, and the piston is connected to a pressing device. The present invention is used to study the mechanism by which groundwater-soluble helium resources enter natural gas layers. It can simulate the extraction process of natural gas from water-soluble helium under different temperature, pressure, and salinity conditions in natural gas layers and quantitatively evaluate the extraction capacity of natural gas for water-soluble helium.

The present invention provides a method for monitoring the equipment of a gas mixing station based on intelligent gas and an Internet of Things system. This method is executed by the gas company management platform of the Internet of Things system for monitoring the equipment of the gas mixing station based on intelligent gas. The method includes: determining gas mixing parameters based on the state data and mixing ratio of the gas to be mixed; obtaining gas composition data; in response to the gas composition data not meeting the preset conditions, performing at least one round of iterative update on the gas mixing parameters based on the gas composition data to determine the updated gas mixing parameters; determining gas transportation parameters based on the output composition data of the output gas and the downstream pipeline data; updating the gas database based on the gas mixing parameters and / or the updated gas mixing parameters, the gas transportation parameters, the downstream pipeline data, the output composition data, and the received composition data of the mixed gas received by the downstream gas pipeline. This method can timely monitor the uniformity of the mixed gas and ensure that the mixed gas remains uniform during the mixing process and the transportation process.

The invention discloses a gas exchange device in front of a sample introduction cone of an inductively coupled plasma mass spectrometer, the gas exchange device in front of the sample introduction cone is arranged outside an ICP torch tube in a sleeving manner, and the gas exchange device in front of the sample introduction cone is mounted on a partition plate around the sample introduction cone; the sample injection cone front gas exchange device comprises a porous breathable layer and a shell; an argon inlet is formed in one end, close to the sample introduction cone, of the shell; one end, far away from the sample introduction cone, of a space between the porous breathable layer and the ICP torch tube is opened and is communicated with the atmosphere. According to the invention, the environmental gas components in the space between the ICP torch tube and the mass spectrum interface device are exchanged into the preset clean gas, so that the sample ionization process is not interfered by the environmental air components, a lower noise baseline is obtained, and meanwhile, the generation of environmental component ions such as nitrogen oxide ions which possibly interfere mass spectrum analysis is reduced; the sensitivity of mass spectrometry detection and the environment anti-interference capability are improved.

A system for trapping a target condensable gas may include a supersonic condensation nozzle configured to receive a gas stream containing a target condensable gas component and accelerate the gas into a supersonic gas stream; at least one particle injector in the supersonic nozzle for injecting particles such that the particles are in the supersonic gas stream, whereby a target gas condensate is formed on a portion of the particles; an expansion device defining a channel having a lobe, causing the flow of particles containing the target gas condensate to generate an expansion wave to separate the flow into a first flow path in which a concentration of particles containing the target gas condensate increases and a second flow path in which a target condensable gas content of the gas decreases; and a diverter having at least a first channel, the diverter configured to collect the first flow path.

The invention discloses a high-voltage cable buffer layer ablation degree evaluation method and device, and belongs to the technical field of high-voltage cable detection. Aiming at the problems of high false detection rate and low positioning precision of the existing detection technology, the method provides three steps of detection processes: firstly, drilling holes along preset intervals of a cable to take gas, analyzing gas components by using a gas chromatograph, and screening sections containing ablative characteristic gas; secondly, an infrared thermal imager is adopted to accurately position temperature abnormal points, and gas is remeasured; and finally, determining a gas weight in combination with an optimal and worst method, constructing a quantitative model through a multi-criterion compromise solution sorting method, calculating an abnormal point comprehensive score and dividing risk grades. According to the method, through a cooperative detection mechanism of gas primary screening, infrared positioning and retest evaluation, the detection efficiency and accuracy are remarkably improved, early ablation symptoms can be recognized, and the omission ratio is reduced.

The application provides a kind of for coal mine stoping working face goaf gas detection communication device, including side sealing block and plugging wall, detection communication pipe, it is arranged in the through hole inside the plugging wall;And pipe plug, detachably arranged in one end of the detection communication pipe, when needing to determine the gas in stoping working face goaf, pull out pipe plug, connect detection communication pipe with gas detector and carry out gas detection, pipeline support assembly, including lateral support assembly and horizontal support assembly, pipeline support assembly is arranged at the junction of the communication pipe both sides and plugging wall.The application passes through the through hole of the plugging wall of detection communication pipe, when needing to determine the gas in stoping working face goaf, pull out pipe plug, connect detection communication pipe with gas detector, can determine the gas composition in this area, greatly improves the gas detection efficiency in stoping working face goaf, and has important significance for improving the management level of mine fire prevention.

The invention provides a carbon emission accounting method in an agricultural waste gas-carbon co-production process, and belongs to the technical field of agricultural waste gas-carbon co-production. Establishing a carbon mass conservation mechanism equation based on the feeding carbon content, the gas production carbon content, the tar carbon content and the residue carbon content to describe a carbon element distribution rule, and intelligently predicting the tar generation amount and the methane conversion rate by utilizing a prediction model integrated temperature calibration mechanism; a tar pyrolysis kinetic equation is adopted to calculate the generation amount of carbon dioxide and light alkane in the tar secondary pyrolysis process, a carbon emission factor database covering different raw material types and operation conditions is established, and finally the total carbon emission is calculated through a carbon emission accounting comprehensive algorithm integration mechanism calculation, kinetic modeling and an intelligent prediction result. The technical problem of insufficient carbon emission accounting precision in the agricultural waste gasification process is solved.

To provide a method of combusting hydrogen gas in an industrial furnace.SOLUTION: The method of combusting hydrogen gas in an industrial furnace using a multiple nozzle burner accompanying a controllable flow of a hydrogen fuel composition and an additional gas composition flowing through a cavity to the industrial furnace, whereby the hydrogen fuel composition is introduced into the cavity from a multiple nozzle burner by a center flow of gas from at least one center gas nozzle, accompanying a concurrent feed of at least a further independent flow of an additional gas composition coming from at least one coaxial nozzle, with the center flow of the gas of the hydrogen fuel gas composition being surrounded by a coaxial flow of the gas of the additional gas composition, is characterized in that the gas momentum per one second of the center flow of the hydrogen fuel gas composition at the outlet of the center gas nozzle is in a range of 0.001 to 1.2 [kg H2 m / s2], and the gas momentum per one second of the coaxial flow of the additional gas composition at the outlet of the coaxial nozzle is in a range of 0.01 to 10.4 [kg O2 m / s2], and the ratio of the heating burner output (WCHEM [W]) relative to the kinetic force (WKIN [W]) of the hydrogen fuel gas composition, i.e., WRATIO is in a range of 100.000 to 4000.000 [1].SELECTED DRAWING: Figure 1

A process for separating 1-butene from a C4 raffinate gas composition includes introducing the C4 raffinate gas composition to a reactor containing an adsorbent material and passing the C4 raffinate gas composition through the adsorbent material; adsorbing the 1-butene from the C4 raffinate gas composition onto the adsorbent material to separate the 1-butene from the C4 raffinate gas composition and form a residue gas composition; and desorbing the 1-butene by heating the adsorbent material after the adsorbing to form the 1-butene and regenerate the adsorbent material. The adsorbent material is at least one of a zeolite adsorbent and an alkali-modified zeolite adsorbent having at least 99% by weight selective towards 1-butene for adsorption in comparison to iso-butene and iso-butane.