CO2 capture system

Abstract

To provide a CO2 recovery system that can recover and use CO2 near by a demander without performing long-distance transportation.SOLUTION: A CO2 recovery system comprises: a CO2 recovery mechanism having CO2 recovery means that recovers CO2 generated from CO2 generating means by a small-size power generator, which performs recovery operation; a CO2 demander terminal which has an input part to which demand information about CO2 is inputted by a CO2 demander and a transmitting part that transmits the demand information; and a demand information processing terminal that has a receiving part that receives the demand information, a calculating part that calculates recovery amounts of CO2 that are recovered by the CO2 recovery mechanism, on the basis of the demand information, and a transmitting part that transmits information on the calculated recovery amounts of CO2 to the CO2 recovery mechanism, where the CO2 recovery mechanism has a receiving part that receives the information on the recovery amounts of CO2 transmitted from the transmitting part of the demand information processing terminal, and performs CO2 recovery operation on the basis of the information on the recovery amounts of CO2 received by the receiving part.SELECTED DRAWING: Figure 1

Description

Technical Field

[0005]

[0001] The present invention relates to a CO2 recovery system.

Background Art

[0002] It is widely known that the concentration of carbon dioxide (CO2) shows a strong correlation with global warming, where the opportunities for natural disasters such as rising atmospheric temperatures, typhoons, and floods increase. In industries such as power plants, oil refineries, cement factories, and steel production processes, a large amount of CO2 is emitted from each plant, and how to reduce such CO2 emissions has become a major problem.

[0003] As a method for reducing CO2 emissions, several techniques for recovering CO2 in exhaust gas have been proposed. Patent Document 1 discloses a calculation system for calculating the amount of CO2 recovered based on the cost of recovering CO2 in exhaust gas and the amount of CO2 emissions trading in the CO2 emissions rights market. Further, Patent Document 2 discloses an operation control system for a CO2 recovery device for a power generation facility that maximizes an evaluation index obtained by subtracting the expenditure price generated according to the operation of the power generation facility including the CO2 recovery device from the revenue price generated according to the operation of the power generation facility including the CO2 recovery device. ​​​​​​​​​​​​​​​​​​​​​​​​​While CO2 emissions are a target for reduction, it has numerous uses, including as carbon dioxide for manufacturing carbonated beverages and bath salts, as dry ice, as shielding gas for arc welding, and as CO2 lasers. Furthermore, there are many consumers throughout Japan who require CO2 for these various applications.

[0006] CO2 as an industrial product is obtained by refining by-product carbon dioxide emitted from steel mills and oil refineries. Currently, there are only a few CO2 production plants in Japan, but on the other hand, there are many consumers throughout the country who require CO2, necessitating long-distance transportation of CO2. In addition, CO2 is sometimes imported from foreign countries, but this also requires the long-distance transportation of CO2.

[0007] In a situation where reducing CO2 emissions is required, the need for long-distance transportation of CO2 is undesirable. Therefore, it is necessary to shorten the distance between the source of CO2 supply and the consumer that needs CO2, so that long-distance transportation of CO2 is not necessary.

[0008] While the aforementioned Patent Documents 1 and 2 describe the recovery of CO2, they do not describe how the recovered CO2 should be handled.

[0009] Instead of large-scale facilities like CO2-producing plants, if we can utilize small-scale CO2 emission sources as CO2 supply sources, recover the CO2 emitted from those sources, and supply the recovered CO2 to CO2 consumers, then the need for long-distance transportation of CO2 will be eliminated.

[0010] This invention is based on the above-mentioned background and aims to provide a CO2 capture system that can capture CO2 near the user without transporting CO2 over long distances, and allows the user to use the captured CO2. [Means for solving the problem]

[0011] To achieve the above objective, the present invention provides a CO2 recovery system comprising a CO2 generation means for generating CO2 using a small power generation device installed at a business site, and a CO2 recovery means for recovering the generated CO2, wherein the CO2 recovery means recovers CO2 by performing a CO2 recovery operation, and a CO2 recovery mechanism. A CO2 consumer terminal having an input unit into which CO2 demand information is entered by a CO2 consumer, and a transmission unit that transmits the demand information entered from the input unit, The demand information processing terminal comprises a receiving unit that receives the demand information transmitted from the transmitting unit of the above-mentioned CO2 consumer terminal, a calculation unit that calculates the amount of CO2 to be recovered by the CO2 recovery mechanism based on the demand information received by the receiving unit, and a transmitting unit that transmits the CO2 recovery amount information calculated by the calculation unit to the CO2 recovery mechanism. The CO2 recovery mechanism described above has a receiving unit that receives the CO2 recovery amount information transmitted from the transmitting unit of the demand information processing terminal, and is characterized in that it performs CO2 recovery operation based on the CO2 recovery amount information received by the receiving unit.

[0012] In the CO2 capture system of the present invention, a small-scale power generation device installed at a business premises is used as a means of generating CO2. Since the small-scale power generation device is installed at a business premises located in the area where the CO2 capture system is established, using the small-scale power generation device as a means of generating CO2 is equivalent to installing a means of generating CO2 in each region. Furthermore, each small-scale power generation device installed at the business site is equipped with a CO2 capture mechanism. Therefore, the CO2 generated by the small-scale power generation device is captured by the CO2 capture mechanism. The captured CO2 can be transported in the form of cylinders, and by delivering these cylinders to CO2 consumers in the same area, it is possible to connect (match) CO2 sources with CO2 consumers without the need for long-distance transportation of CO2.

[0013] It is preferable to generate and capture CO2 when CO2 is needed by consumers. Conversely, it is preferable not to generate or capture CO2 when CO2 is not needed by consumers. Given this background, the process of connecting CO2 demand with CO2 generation and CO2 capture is carried out by a demand information processing terminal.

[0014] CO2 demand information is entered into the input section of the CO2 demander terminal by the CO2 demander, and this demand information is transmitted to the demand information processing terminal. The demand information processing terminal has a calculation unit that calculates the amount of CO2 to be recovered by the CO2 recovery mechanism based on the demand information. It then transmits the calculated CO2 recovery amount information to the CO2 recovery mechanism. The CO2 capture mechanism performs CO2 capture operations based on the received CO2 capture amount information. By doing so, optimal CO2 capture can be performed according to CO2 demand information. In other words, according to the CO2 capture system of the present invention, CO2 can be captured near the consumer, and the consumer can use the captured CO2.

[0015] In the CO2 capture system of the present invention, the calculation unit further calculates a CO2 delivery route for delivering the CO2 captured by the CO2 capture mechanism to CO2 consumers. It is preferable that the transmission unit of the demand information processing terminal transmits the CO2 delivery route information calculated in the calculation unit to the delivery terminal owned by the delivery person. In the calculation unit, in addition to calculating the amount of CO2 recovered, the calculation of the CO2 distribution route can be performed, thereby connecting CO2 sources and CO2 consumers more efficiently. For example, in cases where there are multiple CO2 consumers, the CO2 emissions associated with delivery can be reduced by optimizing the CO2 delivery routes.

[0016] In the CO₂ recovery system of the present invention, it is preferable that the demand information is at least one piece of information selected from the group consisting of the form of CO₂ delivery, the required amount of CO₂, the delivery location, the desired delivery time, and the desired purchase price. According to these demand information, the calculation unit can determine when, in what form, and how much CO₂ recovery should be performed. Also, when the desired purchase price of CO₂ is low and the profitability is not achieved when CO₂ is recovered, it is possible to make a judgment not to perform CO₂ recovery.

[0017] The CO₂ recovery system of the present invention preferably further includes a CO₂ storage mechanism for storing the CO₂ recovered by the above CO₂ recovery mechanism. By storing the recovered CO₂ in a form such as a cylinder in the CO₂ storage mechanism, it is possible to respond to an increase in the demand for CO₂ without wasting CO₂ recovery when the demand for CO₂ suddenly increases. Also, when calculating the CO₂ delivery route, the CO₂ storage mechanism may be added as a CO₂ replenishment point in the delivery route.

[0018] In the CO₂ recovery system of the present invention, the above CO₂ storage mechanism has a CO₂ storage amount storage unit for storing the CO₂ storage amount stored in the above CO₂ storage mechanism, and a transmission unit for transmitting the CO₂ storage amount information stored in the above CO₂ storage amount storage unit to the above demand information processing terminal. The above demand information processing terminal receives the above CO₂ storage amount information transmitted from the above transmission unit of the above CO₂ storage mechanism in the above receiving unit, and in the above calculation unit, it is preferable to further use the received above CO₂ storage amount information to calculate the amount of CO₂ recovery to be recovered by the above CO₂ recovery mechanism.

[0019] When calculating the amount of CO₂ recovered, by using information on the storage amount of CO₂ in addition to the demand information of CO₂, the amount of CO₂ recovered by the CO₂ recovery mechanism can be calculated as an optimal value. When assuming the case where there is the same demand for CO₂, it is considered that it is better not to perform CO₂ recovery when the CO₂ storage amount is large, and it is better to perform CO₂ recovery when the CO₂ storage amount is small. Therefore, it is useful to use information on the CO₂ storage amount.

[0020] In the CO₂ recovery system of the present invention, it is preferable that the CO₂ generation means is a cogeneration system installed in a business establishment. In recent years, due to the increasing environmental awareness, the number of examples where cogeneration systems are installed in business establishments has been increasing. By using a cogeneration system as the CO₂ generation means and installing a CO₂ recovery means in the cogeneration system, the number of installed CO₂ recovery mechanisms can be increased.

[0021] In the CO₂ recovery system of the present invention, in the calculation unit, when the demand amount of CO₂ is small or the price of CO₂ is low, as a result of the calculation based on the demand information, information on the amount of CO₂ recovered indicating that the CO₂ recovery operation is not performed is obtained, and the information on the amount of CO₂ recovered is transmitted from the transmission unit of the demand information processing terminal to the CO₂ recovery mechanism. It is preferable that the CO₂ recovery mechanism does not perform the CO₂ recovery operation.

[0022] Even if the CO₂ recovery operation is performed to recover CO₂, if there is no demand for the recovered CO₂ or if the profitability is not achieved when CO₂ is recovered, the CO₂ recovery operation should not be performed. By doing so, it is possible to avoid the operation of the CO₂ recovery system from being in the red and to continuously operate the CO₂ recovery system in a profitable manner.

[0023] In the CO2 recovery system of the present invention, the CO2 recovery means comprises a CO2 recovery structure in which a reaction layer for adsorbing and desorbing CO2 and a heating layer for heating the reaction layer are alternately stacked, and the reaction layer preferably consists of a substrate, a support, and an adsorbent for adsorbing and desorbing CO2 supported on the support. In the above CO2 recovery means, a reaction layer for adsorption and desorption of CO2 and a heating layer for heating the reaction layer are alternately stacked. Since the reaction layer has a large contact area with the heating layer, the reaction layer can be efficiently heated by the heating layer. Furthermore, since the heating layer is provided separately from the reaction layer for deadsorption of CO2, the heat source and the adsorbent in the reaction layer do not come into direct contact. Inexpensive water vapor can be used as the heat source for the heating layer, and there is no need to evaporate the water adsorbed on the reaction layer, allowing for efficient and low-cost adsorption and desorption of CO2. In this specification, adsorption and desorption are used to include not only adsorption and desorption, but also absorption and release. Furthermore, an adsorbent refers to a substance that adsorbs and absorbs CO2, and then desorbs and releases it at a predetermined temperature.

[0024] In the CO2 capture system of the present invention, it is preferable that the range in which the CO2 capture system is operated includes CO2 consumers within 50 km of one of the CO2 capture mechanisms. The CO2 capture system of the present invention allows for the CO2 capture and CO2 use cycle to be carried out within a narrow area such as the range described above.

[0025] In the CO2 capture system of the present invention, the input unit is preferably an application provided to the CO2 consumer terminal. If CO2 consumers can input their own CO2 demand information using their own CO2 consumer terminals, it becomes possible to connect (match) CO2 suppliers and CO2 consumers on a network.

[0026] In the CO2 capture system of the present invention, the calculation unit includes a trained artificial intelligence model that learns the relationship between the weather conditions and the demand information based on training data in which weather conditions in the area where the CO2 capture system is operated are input and CO2 demand information is output. Preferably, the calculation unit inputs the weather conditions in the area where the CO2 capture system is operated into the trained artificial intelligence model to estimate CO2 demand information, and calculates the amount of CO2 to be captured by the CO2 capture mechanism based on both the demand information input to the input means and received by the receiving unit, and the demand information estimated by the artificial intelligence model.

[0027] Weather conditions are one factor that influences the demand for CO2. For example, when temperatures are high, the demand for carbon dioxide for carbonated beverages and dry ice for refrigeration increases, which can lead to an increase in the demand for CO2. By using an artificial intelligence model that has learned the relationship between factors influencing CO2 demand, such as weather conditions, and CO2 demand information, and then using the results of estimating CO2 demand information to calculate the amount of CO2 to be recovered by the CO2 capture mechanism, it becomes possible to predict increases in CO2 demand in advance and take measures such as increasing the amount of CO2 to be recovered beforehand. Therefore, it is possible to create a CO2 capture system that can respond to increases and decreases in CO2 demand.

[0028] In the CO2 capture system of the present invention, the calculation unit includes a trained artificial intelligence model that learns the relationship between past demand information from a specific CO2 consumer and demand information received from a CO2 consumer, based on training data which inputs the history of past demand information from a specific CO2 consumer within the range in which the CO2 capture system is operated and outputs the demand information received from the CO2 consumer. In the calculation unit described above, it is preferable to input the history of past demand information from the CO2 consumer into the trained artificial intelligence model to estimate the CO2 demand information from the CO2 consumer, and then calculate the amount of CO2 to be recovered by the CO2 recovery mechanism based on both the demand information input to the input means and received by the receiving unit, and the demand information estimated by the artificial intelligence model.

[0029] By using an artificial intelligence model that has learned the relationship between past demand information from CO2 consumers and current CO2 demand information to estimate CO2 demand, and then using the results to calculate the amount of CO2 to be captured by the CO2 capture mechanism, it becomes possible to predict increases in CO2 demand from those consumers in advance and take measures such as increasing the amount of CO2 to be captured beforehand. Therefore, it is possible to create a CO2 capture system that can respond to increases and decreases in CO2 demand. [Brief explanation of the drawing]

[0030] [Figure 1] Figure 1 is a block diagram schematically showing the configuration of the CO2 capture system of the present invention and an example of the flow of information in the CO2 capture system. [Figure 2] Figure 2 is a schematic perspective view showing an example of a structure for CO2 capture. [Figure 3] Figure 3 is a schematic block diagram showing an example of the flow of CO2 being exchanged in the CO2 capture system of the present invention.

[0031] (Detailed description of the invention) [CO2 capture system] The present invention comprises a CO2 recovery mechanism that includes a CO2 generation means for generating CO2 using a small power generation device installed at a business site, and a CO2 recovery means for recovering the generated CO2, wherein the CO2 recovery means recovers CO2 by performing a CO2 recovery operation. A CO2 consumer terminal having an input unit into which CO2 demand information is entered by a CO2 consumer, and a transmission unit that transmits the demand information entered from the input unit, The demand information processing terminal comprises a receiving unit that receives the demand information transmitted from the transmitting unit of the above-mentioned CO2 consumer terminal, a calculation unit that calculates the amount of CO2 to be recovered by the CO2 recovery mechanism based on the demand information received by the receiving unit, and a transmitting unit that transmits the CO2 recovery amount information calculated by the calculation unit to the CO2 recovery mechanism. The CO2 recovery mechanism described above has a receiving unit that receives the CO2 recovery amount information transmitted from the transmitting unit of the demand information processing terminal, and is characterized in that it performs CO2 recovery operation based on the CO2 recovery amount information received by the receiving unit.

[0032] Figure 1 is a block diagram schematically showing the configuration of the CO2 capture system of the present invention and an example of the flow of information in the CO2 capture system. The arrows in Figure 1 indicate the direction in which information flows between each element. Figure 1 shows the components of the CO2 capture system 1, including a CO2 capture mechanism 10, a CO2 demander terminal 20, a demand information processing terminal 30, a CO2 storage mechanism 40, and a delivery terminal 50. The following will explain each of these components, along with the flow of information between them.

[0033] [CO2 Capture Mechanism] The CO2 recovery mechanism 10 includes a CO2 generating means 11, a CO2 recovery means 12, and a receiving unit 13 (the receiving unit of the CO2 recovery mechanism).

[0034] The CO2 generating means 11 is a small-scale power generation device installed at the business premises. Since it is a power generation device that generates CO2 during power generation, a thermal power generation device can be used. Furthermore, it is preferable that the CO2 generating means is a cogeneration system installed at the business premises. Since cogeneration systems are often installed at business sites, by using the cogeneration system as a means of generating CO2 and integrating a CO2 capture mechanism with it, the number of CO2 capture mechanisms that can be installed can be increased. The CO2 generation means 11 discharges CO2 from an outlet, and the CO2 recovery means 12 is connected by a pipeline or the like, and the CO2 generated in the CO2 generation means 11 is sent to the CO2 recovery means 12.

[0035] The CO2-containing gas generated from the CO2 generation means is introduced into the CO2 recovery means 12. In the CO2 recovery means 12, CO2 is adsorbed and recovered. The CO2-containing gas that has passed through the CO2 recovery means 12 is then discharged as exhaust gas through a chimney or the like.

[0036] The CO2 recovery means 12 preferably comprises a CO2 recovery structure in which a reaction layer for adsorbing and desorbing CO2 and a heating layer for heating the reaction layer are alternately stacked. The reaction layer preferably consists of a substrate, a support, and an adsorbent for adsorbing and desorbing CO2 supported on the support.

[0037] The substrate is the basic component that constitutes the reaction layer. The portion of the substrate that comes into contact with the CO2-containing gas is covered with a carrier, and the adsorbent is supported on this carrier. Alternatively, the substrate may also serve as the carrier, and the adsorbent may be supported on this carrier-containing substrate. The material constituting the above substrate is not particularly limited, but examples include at least one selected from the group consisting of carbon, metal, and high thermal conductivity ceramics.

[0038] Examples of support materials include Al2O3, TiO2, SiO2, ZrO2, zeolite, and carbon. In practice, these can be used to create a support material by using a suspension in which the above oxides are dispersed in a dispersion medium such as an inorganic sol, an organic binder, or a mixture thereof, attaching the suspension to the surface of a substrate, and then drying and firing it.

[0039] Examples of adsorbents include amine compounds, and specific amine compounds include polyethyleneimine, monoethanolamine, diethanolamine, triethanolamine, tetraethyleneaminepentamine, methyldiethanolamine, dibutylamine, ethylenediamine, diethylenetriamine, triethylenetetramine, hexaethylenediamine, benzylamine, metaxylenediamine, polyethyleneimine, ethylenediamine, diethylenetriamine, triethylenetetramine, tetraethylenepentamine, pentaethylenehexamine, and the like.

[0040] Methods for supporting the above-mentioned amine compound on a support include, for example, passing an aqueous solution of the amine compound through the through-holes of the honeycomb structure, or immersing the honeycomb structure in an aqueous solution of the amine compound. Alternatively, aqueous solutions or alcohol solutions of these amine compounds may be mixed with particles constituting the support, allowed to thoroughly impregnate the particles, and then the internal septa of the reaction layer may be covered with the amine compound-containing support to remove water and alcohol. The loading process, which involves impregnating the above-mentioned partition wall with an amine compound, results in a CO2 adsorbent having residues derived from the amine compound on the surface of the partition wall.

[0041] The heating layer consists of a plate-shaped heat transfer element or heating element, or a heat transfer element having one or more through holes that serve as flow passages for the heating fluid, and is bonded to the reaction layer. The heating layer is preferably composed of at least one material selected from the group consisting of carbon, metal, and ceramic.

[0042] Figure 2 is a schematic perspective view showing an example of a structure for CO2 capture. As shown in Figure 2, the structure 200 consists of a honeycomb structure 220, which is a ceramic reaction layer with numerous through-holes 221 that serve as passages for gas containing CO2, arranged longitudinally across partition walls 222, and a heat transfer element 210, which is a heating layer with multiple through-holes 211 that serve as passages for a heat source such as water vapor, arranged in the direction in which the through-holes 211 extend, across partition walls 212. These structures are stacked so that the passages (through-holes 221) of the honeycomb structure 220 and the passages (through-holes 211) of the heat transfer element 210 intersect.

[0043] Furthermore, an adhesive layer 230 is formed between the honeycomb structure 220 and the heat transfer element 210, and this adhesive layer 230 adheres the honeycomb structure 220 and the heat transfer element 210 together.

[0044] In the structure 200 shown in Figure 2, through holes 221 are exposed on the front left and rear right sides of the honeycomb structure 220, and through holes 211 are exposed on the front right and rear left sides of the heat transfer element 210. Therefore, in the honeycomb structure 220, gas containing CO2 flows from the front left to the back right or in the opposite direction, and in the heat transfer element 210, gas containing water vapor etc. flows from the front right to the back left or in the opposite direction. Since the two flow paths intersect at a right angle, it is easy to circulate two types of fluids (gases), and heat from the heat transfer element 210 can be efficiently transferred to the honeycomb structure 220.

[0045] In structure 200, the honeycomb structure 220 that constitutes structure 200 is made up of one honeycomb structure 220, but it may also be made by combining and bonding multiple small honeycomb structures together to form a honeycomb structure, and the heat transfer element 210 may also be made by combining and bonding multiple small heat transfer elements together to form a heat transfer element.

[0046] When operating the structure 200 as a CO2 capture means, first, CO2-containing gas is introduced into the honeycomb structure 220 (reaction layer), and after the CO2 is adsorbed and absorbed, it is discharged through the chimney. Water vapor gas is introduced into the heat transfer element 210 (heating layer) of the structure 200, which has sufficiently adsorbed and absorbed CO2. CO2 is then desorbed and released from the honeycomb structure 220 of the structure 200, which is heated by the heat transfer element 210. The desorbed and released CO2, along with the CO2 recovery gas, is introduced into a pump. After exiting the pump, it is stored as CO2, and the CO2 generated by the CO2 generation means is recovered.

[0047] The receiving unit 13 of the CO2 capture mechanism receives CO2 capture amount information transmitted from the demand information processing terminal 30, which will be described later. Based on the CO2 capture amount information received by the receiving unit 13, the CO2 generation means 11 and the CO2 capture means 12 are activated to perform CO2 capture operation.

[0048] [CO2 consumer terminal] The CO2 consumer terminal 20 has an input unit 21 and a transmission unit 22 (transmission unit of the CO2 consumer terminal). The CO2 consumer terminal 20 is a terminal owned by the CO2 consumer and can use a personal computer, tablet, smartphone, or other information terminal.

[0049] The input unit 21 is an input device provided by the CO2 consumer terminal 20, and can use input devices such as a keyboard, mouse, touch panel, or voice input device (including smart speakers, etc.). In the input unit 21, CO2 demand information is input by CO2 consumers. The CO2 demand information preferably consists of at least one piece of information selected from the group consisting of the CO2 delivery method, the required amount of CO2, the delivery location, the desired delivery time, and the desired purchase price. The delivery methods for CO2 include forms such as cylinders, dry ice, and gas. The required amount of CO2 refers to the required quantity of cylinders, dry ice, gas, etc. The delivery location and preferred delivery time are information regarding the location and time that the CO2 consumer wishes to have delivered. The desired purchase price refers to the price per unit of CO2 purchase (price per cylinder, per kg of dry ice, per kg of gas, etc.). Of this information, the necessary information is input to the input unit 21 by the CO2 consumer.

[0050] Furthermore, the input section is preferably an application provided to a CO2 consumer terminal. By pre-installing an application on CO2-consuming terminals that allows CO2 consumers to easily input their CO2 demand information, CO2 consumers can input their CO2 demand information themselves. This enables the connection (matching) of CO2 supply sources and CO2 consumers over the network. In this specification, "network" refers to a network via telecommunications lines or the Internet.

[0051] The application may also include a function that allows CO2 consumers to check information about CO2 sources on the network. This information about CO2 sources includes information about the price of CO2, information about delivery times when CO2 is ordered, information about the operating status of CO2 capture mechanisms, and information about the amount of CO2 stored in CO2 storage mechanisms. To use such a function, the CO2 consumer terminal should be equipped with a receiving unit that can receive information from the network.

[0052] The transmission unit 22 transmits the demand information input to the input unit 21 to the demand information processing terminal 30, which will be described later, via the network.

[0053] [Demand Information Processing Terminal] The demand information processing terminal 30 has a receiving unit 31, a calculation unit 32, and a transmitting unit 33.

[0054] The demand information processing terminal 30 is a terminal that can be managed by the operator that manages the entire CO2 capture system 1. The demand information processing terminal 30 can be a personal computer, tablet, smartphone, or other information processing terminal owned by the aforementioned operator.

[0055] The receiving unit 31 receives demand information transmitted from the transmitting unit 22 of the CO2 consumer terminal 20. The calculation unit 32 calculates the amount of CO2 to be recovered by the CO2 recovery mechanism 10 based on the demand information received by the receiving unit 31. The calculation unit 32 is equipped with a control unit 34. The control unit 34 includes, for example, a CPU (Central Processing Unit), ROM (Read-Only Memory), RAM (Random Access Memory), etc. The ROM in the control unit 34 stores a computer program for calculating the amount of CO2 to be recovered based on demand information in the calculation unit 32. The CPU in the control unit 34 executes the computer program stored in the ROM or the storage unit 35 (described later) to realize the process of calculating the amount of CO2 to be recovered based on demand information. The RAM provided by the control unit 34 temporarily stores data used during the execution of calculations. The configuration of the control unit 34 is not limited to the above configuration, and may be one or more arithmetic circuits equipped with other volatile or non-volatile memory, etc.

[0056] The memory unit 35 stores computer programs used by the control unit. The memory unit 35 stores a trained artificial intelligence model 36, and the calculation unit 32 can use the artificial intelligence model to calculate the amount of CO2 to be recovered. The calculation of CO2 capture amounts using artificial intelligence models will be described later. Furthermore, specific examples of calculations that can be performed by the calculation unit 32 will be explained later.

[0057] The transmitting unit 33 transmits the CO2 recovery amount information calculated by the calculation unit 32 to the CO2 recovery mechanism 10. The receiving unit 13 of the CO2 recovery mechanism 10 receives the CO2 recovery amount information transmitted from the demand information processing terminal 30. Based on the CO2 recovery amount information received by the receiving unit 13, the CO2 generation means 11 and the CO2 recovery means 12 are activated to perform CO2 recovery operation.

[0058] The CO2 capture system of the present invention comprises at least a CO2 capture mechanism, a CO2 demand terminal, and a demand information processing terminal. CO2 demand information is entered into the input section of the CO2 demander terminal by the CO2 demander, and this demand information is transmitted to the demand information processing terminal. The demand information processing terminal has a calculation unit that calculates the amount of CO2 to be recovered by the CO2 recovery mechanism based on the demand information. It then transmits the calculated CO2 recovery amount information to the CO2 recovery mechanism. The CO2 capture mechanism performs CO2 capture operations based on the received CO2 capture amount information. By doing so, optimal CO2 capture can be performed according to CO2 demand information. In other words, according to the CO2 capture system of the present invention, CO2 can be captured near the consumer, and the consumer can use the captured CO2.

[0059] [CO2 capture system using a CO2 storage mechanism] The CO2 recovery system of the present invention may further include a CO2 storage mechanism for storing the CO2 recovered by the CO2 recovery mechanism. The CO2 capture system 1 shown in Figure 1 is equipped with a CO2 storage mechanism 40. The CO2 storage mechanism 40 stores the CO2 recovered by the CO2 recovery mechanism 10. An example of the CO2 storage mechanism 40 is a warehouse for storing CO2 cylinders 41. The form of CO2 stored in the CO2 storage mechanism 40 is not limited to the form of a CO2 cylinder, but may be stored in other forms such as dry ice. The CO2 storage facility may be located on the same site as the CO2 capture facility, or on a different site. However, it is preferable that it be located not too far from the CO2 capture facility that constitutes the CO2 capture system and the consumers who use the CO2 capture system.

[0060] The CO2 storage mechanism 40 includes a CO2 storage amount storage unit 42 that stores the amount of CO2 stored in the CO2 storage mechanism 40, and a transmission unit 43 that transmits the CO2 storage amount information stored in the CO2 storage amount storage unit 42 to the demand information processing terminal 30.

[0061] The demand information processing terminal 30 receives CO2 storage amount information transmitted from the transmission unit 43 of the CO2 storage mechanism in its receiving unit 31. The calculation unit 32 can use the received CO2 storage amount information in addition to the CO2 demand information to calculate the amount of CO2 to be recovered by the CO2 recovery mechanism 10. In a CO2 capture system designed to calculate the amount of CO2 to be captured using CO2 storage information, a computer program for calculating the amount of CO2 to be captured using CO2 demand information and CO2 storage information is stored in a control unit 34 or storage unit 35 located in the calculation unit 32.

[0062] When calculating the amount of CO2 to be captured, using information on CO2 storage levels in addition to CO2 demand information allows for a more optimal calculation of the amount of CO2 to be captured by the CO2 capture mechanism. Assuming the same amount of CO2 demand, it may be better not to perform CO2 capture if CO2 storage levels are high, and better to perform CO2 capture if CO2 storage levels are low. Therefore, using information on CO2 storage levels is useful.

[0063] [CO2 capture system using delivery terminals] The CO2 capture system of the present invention may further include a delivery terminal as one of its components. If the CO2 capture system includes a delivery terminal, it is preferable that the calculation unit of the demand information processing terminal further calculates a CO2 delivery route for delivering the CO2 captured by the CO2 capture mechanism to the CO2 consumer, and transmits the CO2 delivery route information calculated by the calculation unit to the delivery terminal owned by the delivery person from the transmission unit of the demand information processing terminal.

[0064] The CO2 capture system 1 shown in Figure 1 is equipped with a delivery terminal 50. The delivery terminal 50 is a terminal used by delivery personnel who deliver CO2 recovered by the CO2 capture mechanism to CO2 consumers to receive CO2 delivery route information from the transmission unit 33 of the demand information processing terminal 30. In this specification, a delivery person is typically a delivery company, whether a natural person or a legal entity, that owns delivery equipment (such as trucks). However, the delivery person may not be a natural person or legal entity, but rather the delivery equipment itself, such as an autonomous vehicle or drone. If the delivery person is a delivery company, they may use a personal computer, tablet, smartphone, or other information processing terminal owned by the delivery company as the delivery terminal. When the delivery person is the transportation equipment itself, the delivery terminal is integrated with the transportation equipment, and an information processing device located inside the transportation equipment functions as the delivery terminal. In this specification, even a delivery terminal integrated with the transportation equipment that is the delivery person is considered a delivery terminal "owned" by the delivery person.

[0065] In a CO2 capture system equipped with a delivery terminal, the delivery information, which is the information necessary to deliver CO2 to the consumer, is used from the demand information entered at the CO2 consumer terminal. Delivery information includes information such as the delivery location for each CO2 consumer, the desired delivery time, the delivery method of CO2, and the required amount of CO2. In addition, it may also include individual agreements made between the delivery person and the consumer.

[0066] The calculation unit 32 of the demand information processing terminal 30 performs calculations using delivery information and calculates the CO2 delivery route for delivering the CO2 recovered by the CO2 capture mechanism to CO2 consumers. In a CO2 capture system designed to calculate CO2 delivery routes using delivery information, a computer program for calculating CO2 delivery routes using delivery information is stored in the control unit 34 or storage unit 35 located in the calculation unit 32. Furthermore, the control unit 34 or storage unit 35 provided in the calculation unit 32 may have information such as the location of the delivery person, the location of the CO2 recovery mechanism, the location of the CO2 storage mechanism, the location of each consumer, and road information between each point stored in advance.

[0067] The delivery person delivers CO2 to multiple CO2 consumers using the same CO2 capture system. Therefore, when calculating the CO2 delivery route, the delivery person calculates the optimal delivery route (optimization in terms of the shortest delivery time, the shortest delivery route, etc.) based on delivery information such as delivery location and desired delivery time for multiple consumers.

[0068] The CO2 delivery route information calculated by the calculation unit 32 is transmitted from the transmission unit 33 of the demand information processing terminal to the delivery terminal 50. If the delivery person is a delivery company, the delivery company will refer to the CO2 delivery route information transmitted to the delivery terminal 50 and deliver CO2 to each CO2 consumer according to said CO2 delivery route information. If the transporter is the transport equipment itself, the CO2 delivery route information transmitted to the transport equipment becomes the command signal that operates the transport equipment. The transport equipment then delivers CO2 to CO2 consumers according to the received CO2 delivery route information.

[0069] [CO2 flow in a CO2 capture system] Figure 3 is a schematic block diagram showing an example of the flow of CO2 being exchanged in the CO2 capture system of the present invention. The arrows in Figure 3 indicate the direction in which CO2 is exchanged between each element. Figure 3 shows an example of CO2 being exchanged between a CO2 capture mechanism 10, a CO2 storage mechanism 40, a distributor 60, and a CO2 consumer 70. In the CO2 capture system, the CO2 exchanged is generated by the CO2 generation means 11 of the CO2 capture mechanism 10 and captured by the CO2 capture means 12. The CO2 recovered by the CO2 recovery mechanism 10 is either handed over to the delivery person 60 or temporarily stored in the CO2 storage mechanism 40 in the form of a CO2 cylinder 41. Whether the CO2 recovered by the CO2 recovery mechanism 10 is handed over to the delivery person 60 or stored in the CO2 storage mechanism 40 is determined based on the amount of CO2 recovered by the CO2 recovery mechanism 10 received from the demand information processing terminal, and the CO2 delivery route information received by the delivery person 60 from the demand information processing terminal.

[0070] The delivery person 60 receives CO2 from the CO2 capture mechanism 10 or the CO2 storage mechanism 40 based on the CO2 delivery route information received from the demand information processing terminal. When the delivery person 60 receives CO2 from the CO2 recovery mechanism 10, the delivery person 60 receives the CO2 in a transportable form such as a CO2 cylinder, but the CO2 cylinder between the CO2 recovery mechanism 10 and the delivery person 60 is not shown in Figure 3.

[0071] The delivery person 60 then delivers CO2 to multiple CO2 consumers 70 who use the same CO2 capture system. The delivery person 60 delivers CO2 to each CO2 consumer 70 according to the CO2 delivery route information received from the demand information processing terminal.

[0072] [Calculations that take into account the demand for CO2 or the price of CO2] In the CO2 capture system of the present invention, if the demand for CO2 is low or the price of CO2 is low, the system may obtain CO2 capture amount information that indicates that CO2 capture operation will not be performed as a result of calculations based on the demand information, and transmit the CO2 capture amount information from the transmission unit of the demand information processing terminal to the CO2 capture mechanism, thereby preventing the CO2 capture mechanism from performing CO2 capture operation. A CO2 capture system that performs calculations considering the demand for CO2 will be referred to as a demand-based CO2 capture system in the following explanation. Similarly, a CO2 capture system that performs calculations considering the price of CO2 will be referred to as a price-based CO2 capture system in the following explanation.

[0073] In a demand-based CO2 capture system, the amount of CO2 demand included in the demand information entered at the CO2 consumer terminal is used for calculations. In this case, it is preferable to use demand information, including the amount of CO2 demanded, and CO2 storage information transmitted from the CO2 storage mechanism in the calculation. If the calculation results show that the amount of CO2 stored is greater than the amount of CO2 demanded, and that the CO2 stored in the CO2 storage facility can meet the demand, then the CO2 capture facility is informed that the amount of CO2 captured is zero, and the facility does not perform CO2 capture operations. Furthermore, even if the amount of CO2 stored is greater than the amount of CO2 demanded, if the amount of CO2 stored is small after subtracting the amount of CO2 demanded from the amount of CO2 stored, CO2 capture operations may be performed.

[0074] Furthermore, when the demand for CO2 is low, performing CO2 capture operations to recover small amounts of CO2 can be costly, potentially resulting in losses. In such cases, it is preferable to avoid performing CO2 capture operations.

[0075] In a price-sensitive CO2 capture system, the price of CO2 included in the demand information entered at the CO2 consumer terminal is used in the calculations. The system calculates the cost of capturing CO2 by comparing the price of CO2 paid by consumers (the revenue earned by the CO2 capture system operator from the supply of CO2) with the cost required to capture that CO2 at the CO2 capture mechanism. If the calculation results in a decision that it is better not to capture the CO2, it sends information indicating a zero CO2 capture amount to the CO2 capture mechanism, and the mechanism refrains from performing CO2 capture operations.

[0076] The CO2 capture mechanism includes a CO2 generating device, which is a small-scale power generation device installed at the business site. Power generation using the small-scale power generation device may be carried out whenever electricity is needed, regardless of the CO2 demand or price. Although CO2 is generated when power is generated using the small-scale power generation device, if the calculation results in the above calculation that it is better not to capture the CO2, the CO2 capture operation may be discontinued. In this case, the CO2 generated by power generation will be released into the atmosphere without being captured.

[0077] [CO2 capture system using artificial intelligence model] The CO2 capture system of the present invention may also be configured such that the calculation unit of the demand information processing terminal estimates demand information using a trained artificial intelligence model, and calculates the amount of CO2 to be captured by the CO2 capture mechanism based on both the demand information received by the receiving unit of the demand information processing terminal and the demand information estimated by the artificial intelligence model. Artificial intelligence models are machine learning models, including deep learning, and are composed of neural networks, for example.

[0078] The trained artificial intelligence model can be stored as a computer program in the storage unit 35 of the calculation unit 32 of the demand information processing terminal 30 in the CO2 capture system 1 shown in Figure 1. Alternatively, the computer program may be stored on a storage medium such as a CD-ROM, DVD-ROM, or HDD.

[0079] As an artificial intelligence model, a pre-trained AI model that has learned the relationship between weather conditions and demand information can be used. In the following explanation, this will be referred to as the weather condition-trained AI model. Furthermore, as an artificial intelligence model, a pre-trained AI model that has learned the relationship between past demand information from CO2 consumers and the demand information received from CO2 consumers can be used. In the following explanation, this will be referred to as the past demand-trained AI model.

[0080] (CO2 capture system using an artificial intelligence model trained on weather conditions) In the CO2 capture system of the present invention, the calculation unit includes a trained artificial intelligence model that has learned the relationship between weather conditions and the demand information based on training data in which weather conditions in the area where the CO2 capture system is operated are input and CO2 demand information is output. The calculation unit inputs the weather conditions in the area where the CO2 capture system is operated into the trained artificial intelligence model to estimate the CO2 demand information, and calculates the amount of CO2 to be captured by the CO2 capture mechanism based on both the demand information received by the receiving unit and the demand information estimated by the artificial intelligence model.

[0081] In creating an artificial intelligence model trained on weather conditions, training data is prepared that takes weather conditions within the operating range of the CO2 capture system as input and CO2 demand information as output. Weather conditions that influence CO2 demand include weather, temperature (maximum and / or minimum temperature), humidity, and discomfort index within the area where the CO2 capture system is operated. By inputting the prepared training data into the artificial intelligence model, an artificial intelligence model trained on weather conditions can be obtained.

[0082] When operating the CO2 capture system of the present invention, the weather conditions in the area where the CO2 capture system is operated are input into an artificial intelligence model that has been trained on weather conditions. The "weather conditions within the area where the CO2 capture system operates" input into the AI ​​model trained on weather conditions refers to the weather conditions at the time the CO2 capture system is put into operation, not the weather conditions used as training data. "Weather conditions at the time of operation of the CO2 capture system" does not strictly mean the weather conditions at that specific moment. For example, when using the highest temperature as a weather condition, it is acceptable to use the highest temperature of that day, or to use the average of the highest temperatures over the past few days, including that day.

[0083] The input of weather conditions into the artificial intelligence model may be done by the operator of the CO2 capture system via an input unit (not shown) separately provided on the demand information processing terminal, or by the CO2 consumer via a consumer terminal. Alternatively, a program can be set up to receive necessary weather conditions via a network and automatically input those conditions into an artificial intelligence model that has been trained on weather conditions, so that weather conditions are periodically input into the AI ​​model.

[0084] The calculation unit of the demand information processing terminal inputs weather conditions in the area where the CO2 capture system operates into a trained artificial intelligence model to estimate CO2 demand information. The demand information processing terminal also receives demand information from CO2 consumer terminals, and calculates the amount of CO2 to be captured by the CO2 capture mechanism based on both the demand information received from the CO2 consumer terminals and the demand information estimated by the artificial intelligence model. The CO2 recovery amount information calculated in the calculation unit is transmitted to the CO2 recovery mechanism. In the CO2 capture mechanism, CO2 capture operation is performed by activating the CO2 generation means and the CO2 capture means based on the CO2 capture amount information.

[0085] By using an artificial intelligence model trained on the relationship between factors influencing CO2 demand, such as weather conditions, and CO2 demand information, and then using the results of this estimation to calculate the amount of CO2 to be captured by the CO2 capture mechanism, it becomes possible to predict increases in CO2 demand in advance and take measures such as increasing the amount of CO2 captured beforehand. Therefore, it is possible to create a CO2 capture system that can respond to increases and decreases in CO2 demand.

[0086] (CO2 capture system using an AI model trained on past demand) In the CO2 capture system of the present invention, the calculation unit includes a trained artificial intelligence model that has learned the relationship between past demand information from a CO2 consumer and demand information received from a CO2 consumer, based on training data which inputs the history of past demand information from a specific CO2 consumer within the range in which the CO2 capture system is operated and outputs the demand information received from the CO2 consumer. The calculation unit inputs the history of past demand information from the CO2 consumer into the trained artificial intelligence model to estimate the CO2 demand information from the CO2 consumer, and calculates the amount of CO2 to be captured by the CO2 capture mechanism based on both the demand information received by the receiving unit and the demand information estimated by the artificial intelligence model.

[0087] In creating an AI model trained on past demand, training data is prepared by inputting the history of past demand information from specific CO2 consumers within the area where the CO2 capture system is operated, and outputting the demand information received from those CO2 consumers. The history of past demand information refers to information such as the delivery method of CO2, the required amount of CO2, the delivery location, the desired delivery time, and the desired purchase price, which is included in the history of demand information entered by a specific CO2 consumer into the CO2 consumer terminal in the past. It is preferable to determine the frequency (order interval) at which a CO2 user needs CO2 from past demand information, and further determine the amount of CO2 required when CO2 is needed. From this information, it is preferable to determine the amount of CO2 the user needs within a specific period (for example, one month) and use this as training data. By using historical demand information from specific CO2 consumers as training data, it is believed that it will be possible to predict increases in CO2 demand from those consumers in advance. By inputting the prepared training data into the artificial intelligence model, a pre-trained artificial intelligence model based on past demands can be obtained.

[0088] When operating the CO2 capture system of the present invention, the history of past demand information from a specific CO2 consumer is input into an artificial intelligence model that has been trained on past demand. The "history of past demand information from a specific CO2 consumer" input into the AI ​​model trained on past demand refers not to the history of past demand information used as training data, but rather to the history of demand information for a specific period preceding the point in time when the CO2 capture system was put into operation. For example, when using the frequency at which a CO2 consumer needs CO2 (order interval) as past demand information, it is preferable to use a history of demand information from a period longer than the period over which the average value of the above order interval is estimated.

[0089] While the input of demand information history for the period preceding the specified period may be performed by the CO2 capture system operator from an input unit (not shown) separately provided on the demand information processing terminal, it is preferable that the demand information processing terminal stores past demand information received from specific CO2 consumers in a storage unit, and then uses the demand information history for the required period from the storage unit to input the demand information history.

[0090] The historical demand information for that long period is input into an AI model trained on past demand to estimate CO2 demand. The demand information processing terminal also receives demand information from CO2 consumer terminals, and the amount of CO2 to be captured by the CO2 capture mechanism is calculated based on both the demand information received from CO2 consumer terminals and the demand information estimated by the AI ​​model. The CO2 recovery amount information calculated in the calculation unit is transmitted to the CO2 recovery mechanism. In the CO2 capture mechanism, CO2 capture operation is performed by activating the CO2 generation means and the CO2 capture means based on the CO2 capture amount information.

[0091] By using an artificial intelligence model that has learned the relationship between past demand information from CO2 consumers and current CO2 demand information to estimate CO2 demand, and then using the results to calculate the amount of CO2 to be captured by the CO2 capture mechanism, it becomes possible to predict increases in CO2 demand from those consumers in advance and take measures such as increasing the amount of CO2 to be captured beforehand. Therefore, it is possible to create a CO2 capture system that can respond to increases and decreases in CO2 demand.

[0092] [Scope of operation of the CO2 capture system] In the CO2 capture system of the present invention, the range in which the CO2 capture system is operated is not particularly limited, but it is preferable that it includes CO2 consumers within 50 km of one CO2 capture mechanism. The CO2 capture system of the present invention captures CO2 near the user without transporting CO2 over long distances, and the user can then use the captured CO2. Therefore, the cycle of CO2 capture and CO2 use can be carried out within a narrow area of ​​50 km from the CO2 capture mechanism. [Explanation of Symbols]

[0093] 1. CO2 Capture System 10 CO2 Capture Mechanism 11 CO2 generation means 12 CO2 Capture Methods 13 CO2 capture mechanism receiving unit 20 CO2 consumer terminals 21 Input section 22. Transmission section of CO2 consumer terminal 30 Demand Information Processing Terminal 31 Receiver of demand information processing terminal 32 Arithmetic section 33. Transmission unit of demand information processing terminal 34 Control Unit 35 Storage section 36 Artificial Intelligence Models 40 CO2 storage mechanisms 41 CO2 cylinders 42 CO2 storage memory unit 43. Transmission section of the CO2 storage mechanism 50 Delivery Terminals 60 Deliverer 70 CO2 consumers 200 structures 210 Heat transfer element (heating layer) 211 Through hole 212 Bulkhead 220 Honeycomb structure (reaction layer) 221 Through hole 222 Bulkhead 230 Adhesive layer

Claims

【Request Item 1】 CO installed at the business site ２ means of generation, and generated CO ２ CO2 recovery ２ It has a means for recovery, and the CO ２ The means of recovery is CO ２ CO ２ To recover CO ２ Recovery mechanism, CO ２ An input unit into which demand information of CO is input by a requester, and ２ a transmission unit that transmits the demand information input from the input unit. A CO ２ requester terminal, and The aforementioned CO ２ A receiving unit that receives the demand information transmitted from the transmitting unit of the customer terminal, and the CO based on the demand information received by the receiving unit. ２ CO2 recovered by the recovery mechanism ２ A calculation unit that calculates the amount of CO2 recovered, and the CO2 calculated by the calculation unit. ２ The amount of CO2 recovered is ２ It includes a demand information processing terminal having a transmission unit that transmits to the collection mechanism, The aforementioned CO ２ The recovery mechanism receives the CO2 transmitted from the transmission unit of the demand information processing terminal. ２ It has a receiving unit that receives the amount of CO2 recovered, and the CO2 received by the receiving unit ２ CO2 based on recovery amount information ２ We will perform a recovery operation. The aforementioned calculation unit further performs the CO ２ CO2 recovered by the recovery mechanism ２ CO ２ CO for delivery to consumers ２ Calculate the delivery route, From the transmission unit of the demand information processing terminal, the CO calculated in the calculation unit ２ A CO is characterized by transmitting delivery route information to a delivery terminal owned by the delivery person. ２ Collection system. 【Request Item 2】 CO installed at the business site ２ means of generation, and generated CO ２ CO2 recovery ２ It has a means for recovery, and the CO ２ The means of recovery is CO ２ CO ２ To recover CO ２ Recovery mechanism, CO ２ CO ２ A CO2 has an input unit into which demand information is input, and a transmission unit into which the demand information input from the input unit is transmitted. ２ Customer terminal and The aforementioned CO ２ A receiving unit that receives the demand information transmitted from the transmitting unit of the customer terminal, and the CO based on the demand information received by the receiving unit. ２ CO2 recovered by the recovery mechanism ２ A calculation unit that calculates the amount of CO2 recovered, and the CO2 calculated by the calculation unit. ２ The amount of CO2 recovered is ２ A demand information processing terminal having a transmission unit that transmits to a collection mechanism, The aforementioned CO ２ CO2 recovered by the recovery mechanism ２ CO2 storage ２ It is equipped with a storage mechanism, The aforementioned CO ２ The recovery mechanism receives the CO2 transmitted from the transmission unit of the demand information processing terminal. ２ It has a receiving unit that receives the amount of CO2 recovered, and the CO2 received by the receiving unit ２ CO2 based on recovery amount information ２ We will perform a recovery operation. The aforementioned CO ２ The storage mechanism is the CO ２ CO stored in the storage mechanism ２ CO2 stores the amount of CO2 stored. ２ Storage amount memory unit, and the CO ２ CO stored in the storage amount memory unit ２ It has a transmission unit that transmits storage quantity information to the demand information processing terminal, The demand information processing terminal, in the receiving unit, the CO ２ The CO transmitted from the transmission unit of the storage mechanism ２ Upon receiving the storage amount information, the calculation unit receives the CO ２ Using the storage amount information, the CO ２ CO2 recovered by the recovery mechanism ２ CO2, characterized by calculating the amount to be recovered. ２ Collection system. 【Request Item 3】 The aforementioned demand information is CO ２ Delivery method, CO ２ The CO according to claim 1 or 2, which is at least one piece of information selected from the group consisting of the required quantity, delivery location, desired delivery time, and desired purchase price. ２ Collection system. 【Request Item 4】 The aforementioned CO ２ CO2 according to any one of claims 1 to 3, wherein the means of generation is a cogeneration system installed at the business premises. ２ Collection system. 【Request Item 5】 In the aforementioned calculation unit, CO ２ If the demand is low or CO ２ If the price is low, the result of the calculation based on the demand information is CO ２ CO2 recovery operations will not be performed. ２ Upon obtaining the amount of recovery information, the CO2 is transmitted from the transmission unit of the demand information processing terminal. ２ The amount of CO2 recovered is ２ Transmit to the retrieval mechanism, The aforementioned CO ２ CO ２ CO2 recovery operation is not performed, as described in any one of claims 1 to 4. ２ Collection system. 【Request Item 6】 The aforementioned CO ２ The recovery method is CO ２ CO2 is a reaction layer that performs adsorption and desorption and a heating layer for heating the reaction layer, which are alternately stacked. ２ The structure for recovery is provided, and the reaction layer comprises a substrate, a support, and CO supported on the support. ２ CO according to any one of claims 1 to 5, comprising an adsorbent that adsorbs and desorbs CO ２ Collection system. 【Request Item 7】 CO ２ The area in which the recovery system is operated is one of the aforementioned CO ２ CO2 within 50 km of the recovery facility ２ The CO2 in any of claims 1 to 6, which includes consumers. ２ Collection system. 【Request Item 8】 The input unit is the CO ２ The CO according to any one of claims 1 to 7, which is an application provided to the consumer terminal. ２ Collection system. 【Request Item 9】 The aforementioned calculation unit is CO ２ Enter the weather conditions for the area where the recovery system will be operated, CO ２ The system includes a trained artificial intelligence model that learns the relationship between the weather conditions and the demand information based on training data that outputs demand information. In the calculation unit, the meteorological conditions within the range where the CO ２ recovery system operates are input into the learned artificial intelligence model, and the demand information of CO ２ is estimated. Based on both the demand information received by the receiving unit and the demand information estimated by the artificial intelligence model, the CO ２ recovery amount recovered by the recovery mechanism is calculated for the CO ２ recovery system according to any one of claims 1 to 8. ２ ​ 【Request Item 10】 The aforementioned calculation unit is CO ２ Specific CO2 in the area where the recovery system is in operation ２ Enter the history of past demand information from the consumer, and the CO ２ Based on training data that uses demand information received from consumers as output, the CO ２ Past demand information from consumers and CO ２ Equipped with a pre-trained artificial intelligence model that has learned the relationships of demand information received from consumers, In the calculation unit, the CO ２ Input the history of past demand information from the consumer into the learned artificial intelligence model, and the CO ２ CO from the consumer ２ Estimate the demand information, and based on both the demand information received by the receiving unit and the demand information estimated by the artificial intelligence model, the CO ２ The CO collected by the collection mechanism ２ Calculate the collection amount according to any one of claims 1 to 9 of the CO ２ Recovery system.

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