Information processing device, carbon dioxide processing device, system, and information processing method

Abstract

To provide an information processing device etc. that makes a contribution to efficient treatment of carbon dioxide emitted from a plant.SOLUTION: A processing circuit of an information processing device calculates a third power amount which is a difference between a first power amount of a carbon dioxide treatment apparatus required to treat carbon dioxide to be treated, which includes carbon dioxide emitted from a plant, and a second power amount which is a part of the first power amount supplied from the plant to the carbon dioxide treatment apparatus, and calculates a third treatment amount of carbon dioxide that is substantially treated by the carbon dioxide treatment apparatus, on the basis of a first treatment amount of the carbon dioxide to be treated by the carbon dioxide treatment apparatus and a second treatment amount of carbon dioxide calculated from the third power amount.SELECTED DRAWING: Figure 4

Description

Technical Field

[0001] The present disclosure relates to an information processing apparatus, a carbon dioxide processing apparatus, a system, and an information processing method.

Background Art

[0002] Some power plants include a device for recovering carbon dioxide in exhaust gas. For example, Patent Document 1 discloses an operation control system for a CO2 recovery device for power generation facilities. The system performs operation control in a mode in which an evaluation index obtained by subtracting the expenditure price generated according to the operation of the power generation facility from the revenue price generated according to the operation of the CO2 recovery device included in the power generation facility is maximized.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In recent years, reduction of the amount of carbon dioxide generated has attracted attention. The system of Patent Document 1 aims to reduce the operation cost of a power generation facility, but does not aim to reduce the amount of carbon dioxide generated related to the operation of the power generation facility.

[0005] The present disclosure provides an information processing apparatus, a carbon dioxide processing apparatus, a system, and a method that contribute to efficient processing of carbon dioxide discharged from a plant.

Means for Solving the Problems

[0006] An information processing device according to one aspect of the present disclosure includes a processing circuit that performs calculations relating to the processing of carbon dioxide in a carbon dioxide processing device with respect to carbon dioxide emitted from a plant including a power generation device. The processing circuit performs the following actions: obtains a first amount of energy for the carbon dioxide processing device required to process carbon dioxide to be processed, including carbon dioxide emitted from the plant, and a second amount of energy from the first amount that the carbon dioxide processing device receives from the plant; calculates a third amount of energy, which is the difference between the first amount of energy and the second amount of energy; and calculates the actual third amount of carbon dioxide processed by the carbon dioxide processing device based on the first amount of carbon dioxide to be processed by the carbon dioxide processing device and the second amount of carbon dioxide processed calculated from the third amount of energy. [Effects of the Invention]

[0007] The technology disclosed herein can contribute to the efficient treatment of carbon dioxide emitted from plants. [Brief explanation of the drawing]

[0008] [Figure 1] Figure 1 shows an example of the configuration of a processing system according to an embodiment. [Figure 2] Figure 2 is a block diagram showing an example of the configuration of an information processing device according to an embodiment. [Figure 3] Figure 3 shows an example of predicted values ​​for the daily surplus electricity and electricity selling price of the processing plant, and predicted values ​​for the daily electricity requirements of the carbon dioxide treatment device. [Figure 4] Figure 4 is a flowchart showing an example of the calculation operation of the carbon dioxide processing efficiency of the information processing device according to the embodiment. [Figure 5] Figure 5 is a flowchart showing an example of the first optimization calculation operation of the information processing device according to the embodiment. [Figure 6] Figure 6 is a flowchart showing an example of the second optimization calculation operation of the information processing device according to the embodiment. [Figure 7]Figure 7 is a flowchart showing an example of the third optimization operation of the information processing device according to the embodiment. [Modes for carrying out the invention]

[0009] Illustrative embodiments of the present disclosure will be described below with reference to the drawings. The embodiments described below are all comprehensive or specific examples. Among the components in the embodiments below, those components that are not described in the independent claim indicating the highest-level concept will be described as optional components. The figures in the accompanying drawings are schematic and not necessarily strictly illustrative. In each figure, substantially identical components are denoted by the same reference numeral, and redundant descriptions may be omitted or simplified. In this specification and in the claims, “apparatus” may mean not only a single apparatus but also a system consisting of multiple apparatuses. “Apparatus” may also include “equipment.”

[0010] [Processing System Configuration] Referring to Figure 1, the configuration of the processing system 1 according to the embodiment will be described. Figure 1 is a diagram showing an example of the configuration of the processing system 1 according to the embodiment. The processing system 1 includes a processing plant 10, a carbon dioxide processing device 20, and an information processing device 30. The processing plant 10 may be any plant that has a power generation function and generates carbon dioxide. Examples of the processing plant 10 include power plants, incineration plants, petrochemical plants, and refining plants. Examples of power plants include thermal power plants and biomass power plants. An example of an incineration plant is a waste incineration plant. In this embodiment, the processing plant 10 is a biomass power plant or a waste incineration plant that generates combustion gas as exhaust gas.

[0011] The processing plant 10 includes a power generator 11, an incinerator 12, a boiler 13, and a control device 15. In this embodiment, the processing plant 10 further includes a storage battery 14, but it does not have to include the storage battery 14. The incinerator 12 accepts and burns fuel or waste containing biomass. The exhaust gas, which is the combustion gas generated in the incinerator 12, is sent to the boiler 13. In the boiler 13, the water flowing inside the boiler 13 is evaporated by the waste heat of the exhaust gas. The steam is sent to the power generator 11 and rotates the turbine 11a inside the power generator 11. As a result, the power generator 11 generates electricity. The storage battery 14 stores the electricity generated by the power generator 11 and may also store other electricity. The storage battery 14 is a battery that can charge and discharge electricity. The storage battery 14 may include a circuit for charging and discharging. Examples of the storage battery 14 include lead-acid batteries, lithium-ion secondary batteries, all-solid-state batteries, nickel-metal hydride batteries, nickel-cadmium batteries, etc. The exhaust gas that has passed through the boiler 13 is sent to the carbon dioxide treatment device 20. The treatment plant 10 may further include a storage tank for storing fuel or waste, and a transfer device such as a crane for transferring the fuel or waste in the storage tank to the incinerator 12.

[0012] The electricity generated by the power generator 11 is used to operate the processing plant 10. Any remaining surplus electricity is used to operate the carbon dioxide treatment device 20 and for sale. The electricity used to operate the processing plant 10 and the surplus electricity may be stored in the battery 14 before being used. Examples of buyers include power companies, as well as businesses and households in the area where the processing plant 10 is located. The electricity selling price fluctuates depending on the season and time of day. Furthermore, the fluctuation in the electricity selling price differs depending on who the electricity is sold to. For example, the electricity selling price tends to be higher during the summer season (July to September) and the winter season (December to February) compared to other seasons. For example, the daily fluctuation in the electricity selling price tends to be higher during the daytime than at night when selling to power companies and businesses, and higher in the morning and at night than at night when selling to households.

[0013] The control device 15 manages and controls the operation of the power generator 11, the incinerator 12, the boiler 13, the storage battery 14, and other equipment in the processing plant 10. The control device 15 manages and controls the equipment within the processing plant 10, the destinations of the electricity, and the supply of electricity to the carbon dioxide treatment device 20. The control device 15 includes processing circuits and circuits, i.e., includes a computer. Furthermore, the control device 15 is communicably connected to the carbon dioxide treatment device 20 and the information processing device 30 via wired communication, wireless communication, or a combination thereof. The control device 15 sends and receives information, data, and commands to and from the carbon dioxide treatment device 20 and the information processing device 30. Any wired and wireless communication may be used.

[0014] The carbon dioxide treatment device 20 may be located in a facility or equipment separate from the treatment plant 10, or it may be located within the treatment plant 10 as part of the treatment plant 10. The carbon dioxide treatment device 20 may be located in a carbon dioxide treatment plant.

[0015] The carbon dioxide treatment device 20 has the function of separating carbon dioxide from gas, or the function of separating and recovering carbon dioxide from gas. The carbon dioxide treatment device 20 includes a carbon dioxide recovery device 21 and a control device 22. The carbon dioxide recovery device 21 has the function of separating carbon dioxide from gas containing exhaust gas, or the function of separating and recovering carbon dioxide from gas containing exhaust gas. In this embodiment, the carbon dioxide recovery device 21 has the function of separating and recovering carbon dioxide, and may be any known carbon dioxide recovery device.

[0016] The carbon dioxide recovery device 21 has a function of separating and recovering carbon dioxide from the exhaust gas from the boiler 13, and may further have a function of collecting the indoor air of either or both of the processing plant 10 and the carbon dioxide processing device 20 and separating and recovering carbon dioxide from the collected air. The carbon dioxide recovery device 21 may further have a function of collecting the outdoor air of either or both of the processing plant 10 and the carbon dioxide processing device 20 and separating and recovering carbon dioxide from the collected air. In this specification and the claims, "recovering carbon dioxide" includes both "separating and recovering carbon dioxide" and "merely recovering carbon dioxide".

[0017] The carbon dioxide recovery device 21 may further have a function of processing carbon dioxide according to the required use of carbon dioxide. Examples of the use of carbon dioxide include chemical uses as chemical raw materials for the production of urea, methanol, etc., general uses for the production of dry ice, etc., and oil enhancement recovery uses for enhancing the recovery of crude oil in oil fields. The multiple functions of the carbon dioxide recovery device 21 may be realized by one carbon dioxide recovery device or by multiple carbon dioxide recovery devices.

[0018] The carbon dioxide processing device 20 operates using the electric power supplied from the processing plant 10. The processing plant 10 supplies the surplus electric power after use for the operation of the processing plant 10 to the carbon dioxide processing device 20. When the carbon dioxide processing device 20 requires electric power exceeding that supplied from the processing plant 10, it may receive electric power supply from a power source other than the processing plant 10. Among the surplus electric power of the processing plant 10, the electric power remaining after supply to the carbon dioxide processing device 20 is sold.

[0019] The management device 22 manages and controls the operation of the carbon dioxide recovery device 21. The management device 22 manages and controls the power supplied to the carbon dioxide recovery device 21 and the power source of the power. The management device 22 includes a processing circuit and a circuit, that is, it includes a computer. Further, the management device 22 is communicably connected to the management device 15 and the information processing device 30 of the processing plant 10 via wired communication, wireless communication, or a combination thereof. The management device 22 transmits and receives information, data, commands, etc. to and from the management device 15 and the information processing device 30. Any wired communication and wireless communication may be used.

[0020] The information processing device 30 includes a processing circuit and a circuit, that is, it includes a computer. The information processing device 30 may be an electronic circuit board, an electronic control unit, a microcomputer, a personal computer, a workstation, a smart device such as a smartphone and a tablet, and other electronic devices, etc. The information processing device 30 may form a single device alone or may be incorporated into other devices. For example, the information processing device 30 may be incorporated into the management device 15 of the processing plant 10 or the management device 22 of the carbon dioxide processing device 20. The information processing device 30 is communicably connected to the management devices 15 and 22 via wired communication, wireless communication, or a combination thereof. The information processing device 30 transmits and receives information, data, commands, etc. to and from the management devices 15 and 22. Any wired communication and wireless communication may be used.

[0021] The information processing device 30 includes a processor P and a memory M. For example, the processing circuit of the information processing device 30 may include the processor P. The information processing device 30 may include storage. The processor P and the memory M transmit and receive commands, information, data, etc. to and from other devices, and input signals from various devices and output control signals to each control target.

[0022] Memory M stores programs executed by processor P, as well as various data. Memory M may include storage devices such as semiconductor memory, including volatile memory and non-volatile memory. In this embodiment, memory M includes RAM (Random Access Memory), which is volatile memory, and ROM (Read-Only Memory), which is non-volatile memory. Storage stores various data. Storage may include storage devices such as semiconductor memory, hard disk drives (HDD), and solid-state drives (SSD).

[0023] The processor P, together with RAM and ROM, forms a computer system. The computer system may realize the functions of the information processing device 30 by having the processor P use RAM as a work area to execute a program recorded in ROM.

[0024] Some or all of the functions of the information processing device 30 may be implemented by the computer system described above, by dedicated hardware circuits such as electronic circuits or integrated circuits, or by a combination of the computer system and hardware circuits. The information processing device 30 may be configured to execute each process by centralized control by a single device, or it may be configured to execute each process by distributed control through the cooperation of multiple devices.

[0025] While not limited to these, processor P may include, for example, a CPU (Central Processing Unit), MPU (Micro Processing Unit), GPU (Graphics Processing Unit), microprocessor, processor core, multiprocessor, ASIC (Application-Specific Integrated Circuit), FPGA (Field Programmable Gate Array), etc., and each process may be realized by logic circuits or dedicated circuits formed on an IC (integrated circuit) chip, LSI (Large Scale Integration), etc. Multiple processes may be realized by one or more integrated circuits, or by a single integrated circuit.

[0026] The management devices 15 and 22, like the information processing device 30, include processing circuits and circuits, and also include a computer. The management devices 15 and 22 include a processor P and memory M, and may further include storage. The functions of the processor P and memory M, etc., are the same as those described for the information processing device 30.

[0027] Figure 2 is a block diagram showing an example of the configuration of an information processing device 30 according to an embodiment. As shown in Figure 2, the information processing device 30 includes a processing unit 30A and input / output interfaces 30B and 30C. Input / output interface 30B is connected to the control device 15 of the processing plant 10 in a communicative manner, enabling input and output of information, commands, and data between the information processing device 30 and the control device 15. Input / output interface 30C is connected to the control device 22 of the carbon dioxide processing device 20 in a communicative manner, enabling input and output of information, commands, and data between the information processing device 30 and the control device 22.

[0028] The processing unit 30A is a functional component of the information processing device 30. The processing unit 30A includes a first input processing unit 301, a second input processing unit 302, a first output processing unit 303, a second output processing unit 304, an arithmetic unit 305, and a storage unit 306 as functional components. The function of the storage unit 306 is realized by either memory M, storage, or both. The functions of the functional components other than the storage unit 306 are realized by a processor P, etc.

[0029] The storage unit 306 stores various information and data, and allows reading of the stored information and data. For example, the storage unit 306 stores programs executed by the functional components of the processing unit 30A, as well as information and data used by those functional components. The storage unit 306 stores information and data input from the first input processing unit 301 and the second input processing unit 302. The storage unit 306 stores information and data for the calculation unit 305 to perform calculations related to carbon dioxide, for example, information and data for the calculation unit 305 to calculate the carbon dioxide processing efficiency, as well as information and data for the calculation unit 305 to perform optimization calculations.

[0030] The first input processing unit 301 acquires information, commands, and data from the control device 15 of the processing plant 10. The first input processing unit 301 may store the acquired information in the storage unit 306 or output it to the calculation unit 305. For example, the first input processing unit 301 may acquire one or more of the following: a predicted value of the electricity selling price for a predetermined period, a predicted value of the amount of material to be incinerated for a predetermined period, a predicted value of the amount of heat generated by the combustion of material to be incinerated for a predetermined period, a predicted value of the amount of material to be brought in for a predetermined period, the remaining amount of material to be incinerated for a predetermined period, a predicted value of the amount of electricity generated for a predetermined period, a predicted value of the amount of electricity used by the processing plant 10 for a predetermined period, a predicted value of the surplus electricity of the processing plant 10 for a predetermined period, the power source of the processing plant 10, and the constraints for the optimization calculation.

[0031] The predicted value may be an actual value based on past performance, or it may be a calculated value obtained by a predetermined calculation such as a simulation. The predicted value of the electricity selling price may be a proposed or determined price for electricity purchased by the electricity selling entity, such as a power company. Examples of power sources include the power generation device 11, the storage battery 14 located in the processing plant 10, other power generation devices located in the processing plant 10, and the commercial power supply of the power company. The storage battery 14 may store the electricity generated by the power generation device 11, or it may store electricity from the commercial power supply. The other power generation devices may be power generation devices that do not use fuel from the combustible material, such as solar power generation devices, wind power generation devices, hydroelectric power generation devices, and geothermal power generation devices.

[0032] The specified period may be, for example, one day, one week, one month, one season, and one year. The above prices and quantities may also be the prices and quantities per segment obtained by dividing the specified period into multiple segments. The prices and quantities over the specified period can represent their temporal fluctuations.

[0033] The second input processing unit 302 acquires information, commands, and data from the control device 22 of the carbon dioxide treatment device 20. The second input processing unit 302 may store the acquired information in the storage unit 306 or output it to the calculation unit 305. For example, the second input processing unit 302 may acquire one or more of the following information: the upper and lower limits of the exhaust gas treatment amount of the carbon dioxide treatment device 20 for a predetermined period, the exhaust gas treatment rate of the carbon dioxide treatment device 20 for a predetermined period, the predicted value of the exhaust gas treatment amount for a predetermined period, the predicted value of the carbon dioxide recovery amount for a predetermined period, the predicted value of the power consumption required by the carbon dioxide treatment device 20 for a predetermined period, the power source of the carbon dioxide treatment device 20, and the constraint conditions for the optimization calculation. The predicted value may be an actual value based on past performance, or it may be a calculated value obtained by a predetermined calculation such as a simulation. The predetermined period is set in the same way as in the case of the treatment plant 10. Examples of power sources are the treatment plant 10 and the commercial power supply of the power company.

[0034] The upper limit of the exhaust gas processing capacity of the carbon dioxide treatment device 20 may be the upper limit of the exhaust gas processing capacity that the carbon dioxide recovery device 21 can process. The lower limit of the exhaust gas processing capacity of the carbon dioxide treatment device 20 may be the lower limit of the exhaust gas processing capacity when the carbon dioxide recovery device 21 is in operation, or it may be the processing capacity when the carbon dioxide recovery device 21 is stopped, i.e., 0. The exhaust gas processing rate of the carbon dioxide treatment device 20 may be the ratio of the exhaust gas processing capacity during operation to the upper limit of the exhaust gas processing capacity. Each value for a predetermined period may be a value for the entire predetermined period, or it may be a value for a time or period included in the predetermined period, such as an interval period formed by dividing the predetermined period.

[0035] The first output processing unit 303 outputs the processing results of the calculation unit 305 to the control device 15 of the processing plant 10. For example, the calculation unit 305 performs optimization calculations for the operation of the processing plant 10 and the carbon dioxide treatment device 20, and based on the calculation results, outputs either or both a command to increase or decrease the load, which is the incineration amount of the processing plant 10, and a command to increase or decrease the load, which is the processing amount of the carbon dioxide treatment device 20. The first output processing unit 303 outputs commands for the processing plant 10 to the control device 15.

[0036] The second output processing unit 304 outputs the processing results of the calculation unit 305 to the control device 22 of the carbon dioxide processing device 20. For example, the second output processing unit 304 outputs commands for the carbon dioxide processing device 20 output by the calculation unit 305 based on the optimization calculation to the control device 22. For example, the calculation unit 305 calculates the carbon dioxide processing efficiency in the carbon dioxide processing device 20. The second output processing unit 304 may also output the processing efficiency to the control device 22.

[0037] The calculation unit 305 includes a first calculation unit 305a and a second calculation unit 305b as functional components. The first calculation unit 305a calculates the carbon dioxide processing efficiency in the carbon dioxide processing device 20 within a predetermined period and outputs it to either or both of the second calculation unit 305b and the second output processing unit 304.

[0038] In this embodiment, the carbon dioxide treatment efficiency CC in the carbon dioxide treatment device 20 within a predetermined period TP is defined as the ratio of the total effective amount of carbon dioxide treated CST in the carbon dioxide treatment device 20 within a predetermined period TP to the total amount of carbon dioxide treated CT in the carbon dioxide treatment device 20 within a predetermined period TP. It may also be defined as (treatment efficiency CC) = (total effective amount CST) / (total amount CT). For example, the treatment efficiency CC can take a value of 0 or more and 1 or less.

[0039] For example, the total processing amount CT may be the total amount of carbon dioxide recovered by the carbon dioxide treatment device 20 within a predetermined period TP. The total effective processing amount CST may be the total amount of carbon dioxide recovered substantially by the carbon dioxide treatment device 20 within a predetermined period TP. The total effective processing amount CST may be the amount of carbon dioxide recovered that takes into account the total amount of carbon dioxide generated within a predetermined period TP, which results from the carbon dioxide treatment device 20 recovering carbon dioxide using electricity from a power source other than the treatment plant 10. (Total effective processing amount CST) may be defined as (Total processing amount CT) - (Total generation amount CAT).

[0040] For example, the first calculation unit 305a calculates the processing efficiency for a predetermined period TP of one day. One day is an example of the first period T1. The first calculation unit 305a uses information on the predicted value of the surplus power amount of the processing plant 10 for one day, information on the predicted value of the power required by the carbon dioxide processing device 20 for one day, and information on the power source of the carbon dioxide processing device 20 to calculate the processing efficiency. The first calculation unit 305a may obtain information on the predicted value of the surplus power amount from the storage unit 306 or the first input processing unit 301, or it may calculate the predicted value of the surplus power amount. For example, the first calculation unit 305a may calculate the predicted value of the surplus power amount by obtaining and using one or more pieces of information from the storage unit 306 or the first input processing unit 301, including the predicted value of the electricity selling price, the predicted value of the amount of incineration of the materials to be burned, the predicted value of the heat generated by the combustion of the materials to be burned, the predicted value of the amount of materials to be burned brought in, the remaining amount of materials to be burned, the predicted value of the amount of electricity generated, and the predicted value of the power required by the processing plant 10.

[0041] The first calculation unit 305a may obtain information on the predicted power consumption of the carbon dioxide treatment device 20 from the storage unit 306 or the second input processing unit 302, or it may calculate the predicted power consumption. For example, the first calculation unit 305a may calculate the predicted power consumption by obtaining and using one or more pieces of information from the storage unit 306 or the second input processing unit 302, such as the exhaust gas treatment rate of the carbon dioxide treatment device 20, the predicted amount of exhaust gas treatment, and the predicted amount of carbon dioxide recovered. The power consumption of the carbon dioxide treatment device 20 is the amount of power required to treat the carbon dioxide to be treated, including the carbon dioxide in the exhaust gas emitted from the treatment plant 10. The carbon dioxide to be treated may include one or more of the following: carbon dioxide in the indoor air of the treatment plant 10, carbon dioxide in the indoor air of the carbon dioxide treatment device 20, carbon dioxide in the outdoor air of the treatment plant 10, and carbon dioxide in the outdoor air of the carbon dioxide treatment device 20.

[0042] Figure 3 shows an example of the predicted daily surplus electricity and electricity selling price of the treatment plant 10 and the predicted daily electricity requirements of the carbon dioxide treatment device 20. In this example, since the exhaust gas treatment rate is constant throughout the day, the electricity requirements er of the carbon dioxide treatment device 20 are also constant, as shown by the dashed line. As shown by the solid line, the surplus electricity es of the treatment plant 10 is high at night but low during the day. During the day, the electricity requirements er of the carbon dioxide treatment device 20 are higher than the surplus electricity es of the treatment plant 10. During periods when the electricity requirements er of the carbon dioxide treatment device 20 are less than or equal to the surplus electricity es of the treatment plant 10, the carbon dioxide treatment device 20 receives all of its electricity requirements er from the treatment plant 10. During intervals when the power requirement er for the carbon dioxide treatment device 20 is greater than the surplus power requirement es for the treatment plant 10, the carbon dioxide treatment device 20 receives power from the treatment plant 10 to cover part of the required power requirement er and from the commercial power supply to cover the deficit. In this example, one interval is 1 hour, but is not limited to this. The first period T1 includes n intervals, and the first period T1, which is 1 day, includes 24 intervals of 1 hour each.

[0043] The first calculation unit 305a compares, for each interval within the first period T1, the surplus power of the processing plant 10 during the interval of the second time point with the power required by the carbon dioxide processing device 20 during the interval of the first time point. The first time point and the second time point are in a corresponding relationship; for example, surplus power during the interval of the second time point may be used for the power required during the interval of the first time point. The first time point and the second time point may be the same or different. For example, since surplus power is generated by the processing plant 10 and then used by the carbon dioxide processing device 20, the first time point may be later than the second time point.

[0044] Furthermore, the first calculation unit 305a calculates the first energy consumption amount e1 and the second energy consumption amount e2 for each corresponding interval period. The first energy consumption amount e1 is the amount of energy used by the carbon dioxide treatment device 20 from the surplus energy amount es. The second energy consumption amount e2 is the amount of energy used by the carbon dioxide treatment device 20 from the commercial power supply. In Figure 3, the first energy consumption amount e1 is represented by the area with solid hatching, and the second energy consumption amount e2 is represented by the area with dashed hatching.

[0045] The first energy consumption e1 is the amount of energy that the carbon dioxide treatment device 20 can receive from the surplus energy es of the required energy consumption er, and does not exceed the required energy consumption er. The sum of the first energy consumption e1 and the second energy consumption e2 is the required energy consumption er, and the difference between the required energy consumption er and the first energy consumption e1 is the second energy consumption e2. If the surplus energy es is greater than or equal to the required energy consumption er, the second energy consumption e2 is 0, and if the surplus energy es is less than the required energy consumption er, the second energy consumption e2 is greater than 0. The required energy consumption er is an example of the first energy consumption, the first energy consumption e1 is an example of the second energy consumption, and the second energy consumption e2 is an example of the third energy consumption.

[0046] The first calculation unit 305a calculates the amount of carbon dioxide recovered by the carbon dioxide treatment device 20 C1 for each interval period. Specifically, the first calculation unit 305a calculates the amount of carbon dioxide recovered C1 for each interval period by multiplying the exhaust gas treatment rate PR of the carbon dioxide treatment device 20 by the upper limit PMX of the exhaust gas treatment amount of the carbon dioxide treatment device 20. In this example, the upper and lower limits of the treatment amount are the upper and lower limits of the treatment amount per hour. The recovered amount C1 corresponds to the amount of carbon dioxide recovered by the carbon dioxide treatment device 20 at the required power consumption er. The recovered amount C1 is an example of the first treatment amount.

[0047] The first calculation unit 305a calculates the apparent amount of carbon dioxide recovered at the time of the second energy consumption e2 for each corresponding interval period, using the first energy consumption e1, the second energy consumption e2, and the amount of carbon dioxide recovered C1. The apparent amount of recovered C2 is calculated using the relationship C2 = C1 × e2 / er = C1 × e2 / (e1 + e2). The time of the interval period for the second energy consumption e2 and the time of the interval period for the apparent amount of recovered C2 correspond to each other, for example, they are the same.

[0048] The first calculation unit 305a calculates the first actual amount of carbon dioxide recovered CS1 by subtracting the apparent amount of carbon dioxide recovered C2 at the second power consumption amount e2 from the amount of carbon dioxide recovered C1. At power sources other than the processing plant 10, carbon dioxide may be generated during power generation, storage, and supply. Therefore, some or all of the carbon dioxide in the apparent amount recovered C2, recovered using power from power sources other than the processing plant 10, may be treated as carbon dioxide generated by the carbon dioxide treatment device 20. In the first actual amount recovered CS1, all of the carbon dioxide in the apparent amount recovered C2 is treated as carbon dioxide generated by the carbon dioxide treatment device 20. The first actual amount recovered CS1 is calculated using the relationship CS1 = C1 - C2. The apparent amount recovered C2 is an example of the second processing amount. The first actual amount recovered CS1 is an example of the actual processing amount and the third processing amount of carbon dioxide.

[0049] In this embodiment, the first calculation unit 305a calculates the second effective recovery amount CS2 obtained by converting the first effective recovery amount CS1. The first calculation unit 305a uses the converted recovery amount α1×C2, obtained by multiplying the carbon dioxide conversion coefficient α1 by the apparent recovery amount C2, in place of the apparent recovery amount C2. The first calculation unit 305a calculates the second effective recovery amount CS2 by subtracting the converted recovery amount α1×C2 from the recovery amount C1. The first calculation unit 305a converts and uses the apparent recovery amount C2. The second effective recovery amount CS2 is calculated by the relationship CS2 = C1 - α1×C2. The second effective recovery amount CS2 is an example of the actual processing amount and the third processing amount of carbon dioxide. The converted recovery amount α1×C2 is an example of the amount of carbon dioxide generated and the second processing amount.

[0050] The carbon dioxide conversion factor α1 is a coefficient related to the type of power source from which the carbon dioxide treatment device 20 receives power. The conversion factor α1 is set to a value corresponding to the amount of carbon dioxide generated during power generation, storage, and power supply of the power source, and is set to a larger value the more carbon dioxide is generated. In this embodiment, the conversion factor α1 is a value within the range of 0 to 1. The relationship between the conversion factor α1 and the power source is stored in advance in the storage unit 306.

[0051] When the power source is the processing plant 10, the conversion factor α1 is 0 because it uses its own energy. In this embodiment, when the power source is a commercial power source that generates electricity using natural energy such as solar power, wind power, and geothermal power, the conversion factor α1 is set to 0. When the power source is a commercial power source that generates electricity by hydroelectric power or biomass power, the conversion factor α1 is set to 0. When the power source is a commercial power source that generates electricity by thermal power, the conversion factor α1 is set to 1. When the power source is a storage battery that stores the electricity generated by the processing plant 10, the conversion factor α1 is set to 0. When the power source is a commercial power source of a power company that generates electricity using various power sources, the conversion factor α1 is set to 0.5.

[0052] The first calculation unit 305a integrates the amount of carbon dioxide recovered C1 over time for all interval periods included in a day to calculate the total amount of carbon dioxide recovered for the day C1T. The total amount recovered C1T is an example of the total processing amount CT and the first processing amount. The first calculation unit 305a integrates the second effective amount recovered CS2 over time for all interval periods included in a day to calculate the total second effective amount of carbon dioxide recovered for the day CS2T. The total second effective amount recovered CS2T is an example of the total effective processing amount CST and the third processing amount.

[0053] The first calculation unit 305a calculates the daily carbon dioxide treatment efficiency CC of the carbon dioxide treatment device 20 by dividing the total second effective recovery amount CS2T by the total recovery amount C1T. The treatment efficiency CC is calculated using the relationship CC = CS2T / C1T. In this example, the total recovery amount C1T is 100 tons, the total second effective recovery amount CS2T is 95 tons, and the treatment efficiency CC is 0.95. The total first effective recovery amount for all interval periods included in the day is 90 tons, the total amount of carbon dioxide recovered for the second electricity usage amount e2 for all interval periods included in the day is 10 tons, and the conversion factor α1 is 0.5. The total second effective recovery amount CS2T can also be calculated using the relationship 95 = 100 - 0.5 × 10. The first calculation unit 305a outputs the treatment efficiency CC information to one or more of the second calculation unit 305b, the storage unit 306, and the management device 22 of the carbon dioxide treatment device 20.

[0054] In this embodiment, the first calculation unit 305a calculates the carbon dioxide treatment efficiency CC for one day, but it may also calculate the carbon dioxide treatment efficiency for a different period. For example, the first calculation unit 305a may calculate the carbon dioxide treatment efficiency within a predetermined period such as one week, one month, one season, or one year.

[0055] For example, in the case of the carbon dioxide treatment efficiency over a week and over a month, the interval period used to compare the surplus electricity of the treatment plant 10 with the electricity required by the carbon dioxide treatment device 20 may be one hour or one day. In the case of the carbon dioxide treatment efficiency over a season and over a year, the interval period used to compare the surplus electricity of the treatment plant 10 with the electricity required by the carbon dioxide treatment device 20 may be one hour, one day, one week, or one month. In any case, the carbon dioxide treatment efficiency can be calculated in the same manner as described above.

[0056] The first calculation unit 305a may calculate the actual amount of carbon dioxide recovered and the processing efficiency using a different calculation method, as follows. The first calculation unit 305a uses an emission factor α2 associated with the type of power source from which the carbon dioxide processing device 20 receives power. The emission factor α2 represents the amount of carbon dioxide generated when the power source is generated. The emission factor α2 represents the amount of carbon dioxide generated per unit amount of power supplied by the power source. For example, the unit of the emission factor α2 is kg / kW. The relationship between the emission factor α2 and the power source is stored in advance in the storage unit 306.

[0057] If the power source is the processing plant 10, the emission factor α2 is 0 kg / kW because it uses its own energy. If the power source is a commercial power source that generates electricity using natural energy such as solar power, wind power, and geothermal power, the emission factor α2 is 0 kg / kW. If the power source is a commercial power source that generates electricity by hydropower or biomass power, the emission factor α2 is 0 kg / kW. If the power source is a commercial power source that generates electricity by thermal power, the emission factor α2 for coal-fired power generation is 0.8 kg / kW, and the emission factor for LNG (Liquefied Natural Gas) thermal power generation is 0.4 kg / kW. If the power source is a battery that stores the electricity generated by the processing plant 10, the emission factor α2 is 0 kg / kW. If the power source is a commercial power source of an electric power company, the emission factor α2 is 0.5 kg / kW.

[0058] The first calculation unit 305a calculates the amount of carbon dioxide generated C2A by multiplying the emission coefficient α2 by the second amount of electricity used e2 for each corresponding interval period. For example, the amount of carbon dioxide generated C2A is calculated using the relationship C2A = α2 × e2. The first calculation unit 305a calculates the third effective amount of carbon dioxide recovered CS3 by subtracting the amount of carbon dioxide generated C2A from the amount of carbon dioxide recovered C1. The amount of carbon dioxide generated C2A is an example of the second processing amount, and the third effective amount of carbon dioxide recovered CS3 is an example of the effective processing amount and the third processing amount.

[0059] The first calculation unit 305a integrates the amount of carbon dioxide recovered C1 over time for all interval periods included in a day to calculate the total recovered amount C1T. The first calculation unit 305a integrates the third effective recovered amount CS3 over time for all interval periods included in a day to calculate the total third effective recovered amount CS3T of carbon dioxide for one day. The total third effective recovered amount CS3T is an example of the total effective processing amount CST. The first calculation unit 305a divides the total third effective recovered amount CS3T by the total recovered amount C1T to calculate the daily carbon dioxide processing efficiency CC of the carbon dioxide processing device 20.

[0060] The second calculation unit 305b performs one or more of the first, second, and third optimization calculations. The first and second optimization calculations are calculations to bring the carbon dioxide treatment efficiency CC of the carbon dioxide treatment device 20 in the first period T1 closer to 1. The third optimization calculation is a calculation to maximize the electricity sales revenue of the treatment plant 10 in the first period T1.

[0061] In the first optimization operation, the second calculation unit 305b determines two or more of the required power amount er, the first power consumption amount e1, and the second power consumption amount e2 in order to maximize the processing efficiency CC while satisfying the constraints. For example, if the first period T1 is 1 day, the second calculation unit 305b uses the objective function shown in Equation 1 below in the first optimization operation. i is a natural number indicating the order of the interval periods. In this example, since the first period T1 is 1 day, i is a natural number of 1, 2, ..., 24. The element with "i" attached is an element of the i-th interval period or an element corresponding to the i-th interval period.

[0062]

number

[0063] The actual amount of carbon dioxide recovered by the carbon dioxide treatment device 20, CSi, is the first actual amount recovered CS1, the second actual amount recovered CS2, or the third actual amount recovered CS3 for the corresponding interval period. CS1 = C1i - C2i, CS2 = C1i - α1 × C2i, and CS3 = C1i - α2 × e2i. The apparent amount recovered C2i is the apparent amount of carbon dioxide recovered at the second electricity consumption amount e2i, and is correlated with the second electricity consumption amount e2i. Therefore, the actual amount recovered CSi satisfies the relationship CSi = C1i - β × e2i using the coefficient β.

[0064] The amount of carbon dioxide recovered by the carbon dioxide treatment device 20, C1i, corresponds to the amount of carbon dioxide recovered by the carbon dioxide treatment device 20 in terms of the required power consumption eri, and therefore correlates with the required power consumption eri. For this reason, the recovered amount C1i satisfies the relationship C1i = γ × eri, using the coefficient γ. Also, since the relationship eri = e1i + e2i holds, the first power consumption e1i may be used in Equation 1 instead of the required power consumption eri or the second power consumption e2i.

[0065] The second calculation unit 305b calculates the required power eri and second power consumption e2i for all interval periods such that the processing efficiency CC is maximized while satisfying the constraints. The second calculation unit 305b uses the constraints stored in the storage unit 306 or the constraints input to the information processing device 30. The constraints include the condition that the total amount of carbon dioxide recovered per day C1T is greater than or equal to a predetermined value, the condition that the total amount of surplus power es per day is a fixed value, the condition that the surplus power esi for each interval period of the day is a fixed value, and the condition that the processing efficiency CC is 1 or less.

[0066] In addition, if the first energy consumption e1i is used instead of the required energy consumption eri or the second energy consumption e2i in Equation 1, the second calculation unit 305b calculates the required energy consumption eri or the second energy consumption e2i and the first energy consumption e1i for all interval periods in order to maximize the processing efficiency CC while satisfying the constraints. The second calculation unit 305b can calculate two or more of the required energy consumption eri, the second energy consumption e2i, and the first energy consumption e1i.

[0067] The second calculation unit 305b may calculate the required energy eri and the second energy consumption e2i using any known optimization method. For example, the second calculation unit 305b may use an optimization method that employs linear programming. Linear programming is a solution method used when the objective function and constraints can be described in linear form. Solutions obtained using linear programming have advantages such as always being solutions that optimize the objective function and being able to perform calculations quickly. The second calculation unit 305b may obtain a solution close to the optimal solution by recursively performing calculations using linear programming and selecting the optimal result from among them.

[0068] In addition to linear programming, the second calculation unit 305b may perform calculations using metaheuristics. Metaheuristics is a solution method that aims to find a better solution in a realistic amount of time through heuristic methods. Metaheuristics has the advantage of being able to obtain some solution regardless of the calculation time. When it is difficult to describe the objective function and constraints in linear form, the second calculation unit 305b may calculate a solution close to the optimal solution by searching using metaheuristics.

[0069] Even when the first period T1 is one week, one month, one season, or one year, the second calculation unit 305b can perform the first optimization calculation in the same manner as described above. The constraints may be changed according to the first period T1.

[0070] The second calculation unit 305b may output a command to the control device 22 of the carbon dioxide treatment device 20 to execute control according to the required power amount eri and the second power consumption amount e2i for each interval period obtained by the first optimization calculation. This maximizes the carbon dioxide treatment efficiency of the carbon dioxide treatment device 20. The second calculation unit 305b may also perform the first optimization calculation by fixing two of the required power amount eri, the second power consumption amount e2i, and the first power consumption amount e1i.

[0071] In the second optimization calculation, the second calculation unit 305b determines the processing amount of the processing plant 10 and the amount of carbon dioxide processed by the carbon dioxide processing device 20, based on the processing efficiency CC calculated by the first calculation unit 305a, so as to maximize the processing efficiency CC while satisfying the constraints. For example, during a period when the first amount of electricity used by the carbon dioxide processing device 20 from the surplus electricity amount esi is less than the electricity required by the carbon dioxide processing device 20 eri, the processing efficiency CC is improved by either increasing the amount of electricity generated by the power generator 11 by increasing the processing amount of the processing plant 10, or by decreasing the amount of carbon dioxide processed by the carbon dioxide processing device 20, or both. During a period when the first amount of electricity used by the carbon dioxide processing device 20 e1i is greater than the electricity required by the carbon dioxide processing device 20 eri, the processing efficiency CC is improved by either decreasing the amount of electricity generated by the power generator 11 by decreasing the processing amount of the processing plant 10, or by increasing the amount of carbon dioxide processed by the carbon dioxide processing device 20, or both.

[0072] Therefore, for example, if the first period T1 is 1 day, the second calculation unit 305b uses the objective function shown in Equation 2 below for the second optimization calculation. The objective function in Equation 2 is obtained from the objective function in Equation 1. i is a natural number indicating the order of the interval periods. In this example, since the first period T1 is 1 day, i is a natural number of 1, 2, ..., 24.

[0073]

number

[0074]

number

[0075] C1i = PRi × PMX. PMX is the upper limit of the exhaust gas treatment capacity of the carbon dioxide treatment device 20, and PRi is the exhaust gas treatment rate of the carbon dioxide treatment device 20. esi is the surplus power of the treatment plant 10 during the interval period, and eri is the power required by the carbon dioxide treatment device 20 during the interval period. The power required by the carbon dioxide treatment device 20, eri, correlates with the exhaust gas treatment rate PRi and can be converted to the exhaust gas treatment rate PRi. The power required, eri, satisfies the relationship eri = s × PRi / β using the coefficient s. The exhaust gas treatment rate PRi correlates with the amount of carbon dioxide treated by the carbon dioxide treatment device 20 and can be converted to the amount of carbon dioxide treated. The surplus power esi correlates with the treatment amount Gi of the treatment plant 10 and can be converted to the treatment amount Gi. An example of the treatment amount Gi is the amount of incineration by the treatment plant 10. The surplus power esi satisfies the relationship esi = t × Gi / β using the coefficient t.

[0076] The second calculation unit 305b calculates the processing amount Gi and exhaust gas treatment rate PRi for all interval periods such that the processing efficiency CC is maximized while satisfying the constraints. In the calculation using the objective function of Equation 2, the second calculation unit 305b treats "PRi × (PMX - s) + t × Gi" as "PRi × PMX" if "PRi × (PMX - s) + t × Gi" exceeds "PRi × PMX". This is because in such cases, the apparent amount of carbon dioxide recovered C2i at the second power consumption e2i is 0.

[0077] The second calculation unit 305b uses constraints stored in the storage unit 306 or constraints input to the information processing device 30. The constraints include the condition that the total daily carbon dioxide recovery amount C1T is greater than or equal to a predetermined value, the condition that the total daily surplus electricity amount es is a fixed value, and the condition that the processing efficiency CC is 1 or less. The second calculation unit 305b may calculate the processing amount Gi and the exhaust gas treatment rate PRi using any known optimization method. For example, the second calculation unit 305b may use an optimization method that employs linear programming.

[0078] The processing amount Gi correlates with the amount of power generated by the power generator 11 of the processing plant 10, and the exhaust gas treatment rate PRi correlates with the amount of exhaust gas treated or carbon dioxide recovered by the carbon dioxide treatment device 20. The second calculation unit 305b may calculate the amount of power generated by the power generator 11 instead of the processing amount Gi for all interval periods, and may calculate the amount of exhaust gas treated or carbon dioxide recovered by the carbon dioxide treatment device 20 instead of the exhaust gas treatment rate PRi.

[0079] Even when the first period T1 is one week, one month, one season, or one year, the second calculation unit 305b can perform the second optimization calculation in the same manner as described above. The constraints may be changed according to the first period T1.

[0080] The second calculation unit 305b may output a command to the control device 22 of the carbon dioxide treatment device 20 to execute control according to the processing amount Gi of the treatment plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide treatment device 20 for each interval period obtained by the second optimization calculation. The control device 22 may then output a command to the control device 15 of the treatment plant 10 to execute control according to the processing amount Gi of the treatment plant 10 for each interval period. Alternatively, the second calculation unit 305b may output a command to the control device 15 of the treatment plant 10 to execute control according to the processing amount Gi of the treatment plant 10. This maximizes the carbon dioxide treatment efficiency of the carbon dioxide treatment device 20. The second calculation unit 305b may perform the second optimization calculation with one of the processing amount Gi of the treatment plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide treatment device 20 fixed.

[0081] The second arithmetic unit 305b performs the third optimization operation as follows. For example, if the first period T1 is 1 day, the second arithmetic unit 305b uses the objective function shown in Equation 3 below for the third optimization operation. i is a natural number indicating the order of the interval periods. In this example, since the first period T1 is 1 day, i is a natural number of 1, 2, ..., 24.

[0082]

number

[0083] Q represents the daily electricity sales revenue, qi represents the predicted electricity sales price, and Wi represents the amount of electricity sold. The unit of electricity sales revenue Q is "yen". The predicted electricity sales price qi is the price per kilowatt (kW) per hour, and the unit is "yen / kWh". The amount of electricity sold is the amount of electricity per hour, and the unit is "kWh". The amount of electricity sold is the amount of electricity obtained by subtracting the first electricity usage amount e1i of the carbon dioxide treatment device 20 from the surplus electricity amount esi of the treatment plant 10. Gi represents the processing amount of the treatment plant 10 per hour, ai and bi represent the performance indicators of the treatment plant 10 determined from the heat generation amount and temperature per hour. ci represents the performance indicator of the carbon dioxide treatment device 20 per hour.

[0084] The second calculation unit 305b calculates either or both the processing amount Gi of the processing plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide treatment device 20 for all interval periods, such that the electricity sales revenue Q is maximized while satisfying the constraints. The second calculation unit 305b uses the constraints stored in the storage unit 306 or the constraints input to the information processing device 30. The constraints include the condition that the total daily carbon dioxide recovery amount C1T is greater than or equal to a predetermined value, the condition that the total daily amount of surplus electricity es is a fixed value, and the condition that the processing efficiency CC is a value calculated by the first calculation unit 305a. In the constraints, the processing efficiency CC may be a value calculated by the first or second optimization calculation of the second calculation unit 305b. The second calculation unit 305b may calculate the processing amount Gi and the processing rate PRi using any known optimization method. For example, the second calculation unit 305b may use an optimization method that employs linear programming, similar to the first optimization calculation.

[0085] Even when the first period T1 is one week, one month, one season, or one year, the second calculation unit 305b can perform the third optimization calculation in the same manner as described above. The constraints may be changed according to the first period T1.

[0086] The second calculation unit 305b may output a command to the control device 15 of the processing plant 10 to execute control according to the processing amount Gi for each interval period obtained by the third optimization calculation, or it may output a command to the control device 22 of the carbon dioxide treatment device 20 to execute control according to the processing rate PRi for each interval period obtained by the third optimization calculation. This maximizes the electricity sales revenue of the processing plant 10. The second calculation unit 305b may also perform the third optimization calculation with one of the processing amount Gi of the processing plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide treatment device 20 fixed.

[0087] The second arithmetic unit 305b may maximize the processing efficiency CC by combining two or more of the first, second, and third optimization operations and sequentially performing the optimization operations within that combination. Furthermore, it may further maximize the processing efficiency CC by repeatedly performing two or more combinations of the first, second, and third optimization operations and sequentially performing the optimization operations within that combination. The combinations of optimization operations may be different or the same among the repeatedly performed combinations.

[0088] The processing amount Gi correlates with the amount of power generated by the power generator 11 of the processing plant 10. The exhaust gas treatment rate PRi correlates with the amount of exhaust gas treated or carbon dioxide recovered by the carbon dioxide treatment device 20, and correlates with the amount of electricity used by the carbon dioxide treatment device 20 for the above treatment or recovery. The second calculation unit 305b may calculate the amount of power generated by the power generator 11 instead of the processing amount Gi for all interval periods. The second calculation unit 305b may calculate the amount of exhaust gas treated or carbon dioxide recovered by the carbon dioxide treatment device 20, or the amount of electricity used by the carbon dioxide treatment device 20, instead of the exhaust gas treatment rate PRi for all interval periods.

[0089] The second calculation unit 305b may maximize electricity sales revenue by sequentially performing optimization calculations by combining one or more of the first and second optimization calculations with the third optimization calculation, and may further maximize electricity sales revenue by repeatedly performing optimization calculations by combining one or more of the first and second optimization calculations with the third optimization calculation. The combinations of optimization calculations may be different or the same among the repeatedly performed combinations.

[0090] The second calculation unit 305b may use the performance indicators ai and bi of the processing plant 10, and the performance indicator ci of the carbon dioxide treatment device 20, etc., in the first optimization calculation and the second optimization calculation.

[0091] An example of the operation of the information processing device 30 will be explained with reference to Figure 4. Figure 4 is a flowchart showing an example of the calculation operation of the carbon dioxide processing efficiency of the information processing device 30 according to the embodiment. In step S101, the information processing device 30 receives a command from the control device 22 of the carbon dioxide processing device 20 to request the carbon dioxide processing efficiency of the carbon dioxide processing device 20 for one day, which is an example of the first period T1.

[0092] In step S102, the information processing device 30 requests the management device 22 for information necessary to calculate the processing efficiency. For example, this information includes the predicted amount of electricity required by the carbon dioxide processing device 20 for one day, information on the power source of the carbon dioxide processing device 20 other than the processing plant 10, such as commercial power, the upper and lower limits of the exhaust gas processing amount of the carbon dioxide processing device 20 for one day, the exhaust gas processing rate of the carbon dioxide processing device 20 for one day, the conversion factor α1 and the emission factor α2, etc.

[0093] In step S103, the information processing device 30 requests information necessary for calculating the processing efficiency from the control device 15 of the processing plant 10. For example, this information includes information such as a predicted value of the surplus power amount of the processing plant 10 for one day.

[0094] In step S104, the information processing device 30 calculates, at intervals of one hour, which is an example of an interval period, the first amount of electricity used by the carbon dioxide processing device 20 from the surplus electricity esi of the processing plant 10, e1i, and the second amount of electricity used by the carbon dioxide processing device 20 from the commercial power supply, based on the amount of electricity eri required by the carbon dioxide processing device 20. i is a natural number between 1, 2, ..., 24, and indicates the temporal order.

[0095] In step S105, the information processing device 30 calculates the amount of carbon dioxide recovered C1i every hour by multiplying the exhaust gas treatment rate PRi of the carbon dioxide processing device 20 by the upper limit value PMX of the exhaust gas treatment amount of the carbon dioxide processing device 20.

[0096] In step S106, the information processing device 30 calculates the apparent amount of carbon dioxide recovered at the second energy consumption e2i every hour, using the first energy consumption e1i, the second energy consumption e2i, and the amount of carbon dioxide recovered C1i.

[0097] In step S107, the information processing device 30 calculates the effective amount of carbon dioxide recovered per hour, CSi. The effective amount of carbon dioxide recovered CSi is the first effective amount recovered CS1, the second effective amount recovered CS2, or the third effective amount recovered CS3.

[0098] In step S108, the information processing device 30 integrates the total amount of carbon dioxide recovered C1i over time to calculate the total amount of carbon dioxide recovered per day C1T. The information processing device 30 also integrates the total amount of actual recovered CSi over time to calculate the total amount of actual recovered carbon dioxide recovered per day CST. The total amount of actual recovered CST is an example of the total amount of actual processed.

[0099] In step S109, the information processing device 30 calculates the daily carbon dioxide treatment efficiency CC of the carbon dioxide processing device 20 by dividing the total effective recovery amount CST by the total recovery amount C1T.

[0100] In step S110, the information processing device 30 outputs information on the processing efficiency CC to the control device 22 of the carbon dioxide processing device 20.

[0101] Not all processes from steps S101 to S110 are essential for calculating and outputting processing efficiency. For example, if the information processing device 30 uses formula 1, it may omit the process in step S106. If the information processing device 30 uses formula 2, it may omit the processes in steps S104 and S106.

[0102] Referring to Figure 5, another example of the operation of the information processing device 30 will be described. Figure 5 is a flowchart of an example of the first optimization calculation operation of the information processing device 30 according to the embodiment. In step S201, the information processing device 30 receives a command from the control device 22 of the carbon dioxide processing device 20 requesting optimization of the carbon dioxide processing efficiency of the carbon dioxide processing device 20 for one day, which is an example of the first period T1.

[0103] In step S202, the information processing device 30 requests the management device 22 for information necessary for the first optimization calculation of processing efficiency. For example, this information includes information necessary for calculating processing efficiency and constraints related to the carbon dioxide processing device 20.

[0104] In step S203, the information processing device 30 requests the control device 15 of the processing plant 10 for the information necessary for the first optimization calculation of processing efficiency. For example, this information includes the information necessary for calculating processing efficiency and constraints related to the processing plant 10.

[0105] In steps S204 to S208, the information processing device 30 performs the same processing as in steps S104 to S108 when calculating the processing efficiency CC.

[0106] In step S209, the information processing device 30 applies the calculation results from steps S204 to S208 to the objective function shown in Equation 1 above.

[0107] In step S210, the information processing device 30 calculates the required power eri and second power consumption e2i for all interval periods in the objective function, such that the processing efficiency CC is maximized while satisfying the constraints. In other words, the information processing device 30 calculates the required power eri and second power consumption e2i that optimize the processing efficiency.

[0108] In step S211, the information processing device 30 outputs information to the control device 22 of the carbon dioxide processing device 20, including the required power amount eri and second power consumption e2i for all interval periods that maximize the processing efficiency CC, and the maximized processing efficiency CC.

[0109] Not all processes from steps S201 to S211 are essential for optimizing processing efficiency. For example, if the information processing device 30 uses the second energy consumption e2i calculated in step S204 to perform the objective function optimization calculation, the process in step S206 may be omitted. Alternatively, if the information processing device 30 performs the objective function optimization calculation without using the second energy consumption e2i calculated in step S204, the processes in steps S204 and S206 may be omitted.

[0110] Referring to Figure 6, another example of the operation of the information processing device 30 will be described. Figure 6 is a flowchart of an example of the second optimization calculation operation of the information processing device 30 according to the embodiment. In step S301, the information processing device 30 receives a command from the control device 22 of the carbon dioxide processing device 20 requesting the optimization of the carbon dioxide processing efficiency of the carbon dioxide processing device 20 for one day, which is an example of the first period T1.

[0111] In step S302, the information processing device 30 requests the management device 22 for information necessary for the third optimization calculation of processing efficiency. For example, this information includes information necessary for calculating processing efficiency and constraints related to the carbon dioxide processing device 20.

[0112] In step S303, the information processing device 30 requests information necessary for the third optimization calculation of processing efficiency from the control device 15 of the processing plant 10. For example, this information includes information necessary for calculating processing efficiency and constraints related to the processing plant 10.

[0113] In step S304, the information processing device 30 applies the information obtained in steps S302 and S303 to the objective function shown in Equation 2 above.

[0114] In step S305, the information processing device 30 calculates the processing amount Gi of the processing plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide processing device 20 for all interval periods in the objective function, such that the processing efficiency CC is maximized while satisfying the constraints. In other words, the information processing device 30 calculates the processing amount Gi and exhaust gas treatment rate PRi that optimize the processing efficiency.

[0115] In step S306, the information processing device 30 outputs information to the control device 22 of the carbon dioxide processing device 20, including the processing amount Gi of the processing plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide processing device 20 for all interval periods, which maximize the processing efficiency CC, and the maximized processing efficiency CC. The information processing device 30 may also output the processing amount Gi for all interval periods to the control device 15 of the processing plant 10.

[0116] Referring to Figure 7, another example of the operation of the information processing device 30 will be described. Figure 7 is a flowchart of an example of the third optimization calculation operation of the information processing device 30 according to the embodiment. In step S401, the information processing device 30 receives a command from the control device 15 of the processing plant 10 requesting the maximization of the electricity sales revenue of the processing plant 10 for one day, which is an example of the first period T1.

[0117] In step S402, the information processing device 30 requests the management device 15 for information necessary for the third optimization calculation of electricity sales revenue. For example, this information includes information necessary for calculating processing efficiency, as well as information and constraints related to the processing plant 10.

[0118] In step S403, the information processing device 30 requests information necessary for the third optimization calculation of electricity sales revenue from the management device 22 of the carbon dioxide processing device 20. For example, this information includes information necessary for calculating processing efficiency, as well as information and constraints related to the carbon dioxide processing device 20.

[0119] In steps S404 to S409, the information processing device 30 performs the same processing as in steps S104 to S109 when calculating the processing efficiency CC, and calculates the daily carbon dioxide processing efficiency CC of the carbon dioxide processing device 20.

[0120] In step S410, the information processing device 30 applies the information acquired in steps S402 and S403 to the objective function shown in Equation 3 above.

[0121] In step S411, the information processing device 30 calculates the processing amount Gi of the processing plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide processing device 20 in the objective function such that the electricity sales revenue Q is maximized while satisfying the constraints and processing efficiency CC.

[0122] In step S412, the information processing device 30 outputs information to the control device 15 of the processing plant 10, including the processing amount Gi of the processing plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide treatment device 20 for all interval periods, which maximize the electricity sales revenue Q, and the maximized electricity sales revenue Q. The information processing device 30 may also output the exhaust gas treatment rate PRi for all interval periods to the control device 22 of the carbon dioxide treatment device 20.

[0123] Not all processes from steps S401 to S412 are essential for maximizing electricity sales revenue. For example, if the information processing device 30 calculates processing efficiency using formula 1 above, it may omit the process in step S406. If the information processing device 30 calculates processing efficiency using formula 2 above, it may omit the processes in steps S404 and S406. The information processing device 30 may maximize electricity sales revenue without using processing efficiency. In this case, the information processing device 30 may omit the processes in steps S404 to S409.

[0124] The information processing device 30 uses the carbon dioxide processing efficiency CC of the carbon dioxide processing device 20, calculated by the processes in steps S404 to S409, in the third optimization calculation, but is not limited to this. The information processing device 30 may further perform a first or second optimization calculation on the carbon dioxide processing efficiency CC of the carbon dioxide processing device 20, calculated by the processes in steps S404 to S409, to calculate the maximized processing efficiency, and use the maximized processing efficiency in the third optimization calculation.

[0125] (Other embodiments) While embodiments of this disclosure have been described above, this disclosure is not limited to the embodiments described above. That is, various modifications and improvements are possible within the scope of this disclosure. For example, embodiments that have been modified in various ways, and forms constructed by combining components from different embodiments, are also included within the scope of this disclosure.

[0126] In this embodiment, the information processing device 30 calculates the required amount of electricity eri and the second amount of electricity used e2i to maximize the carbon dioxide processing efficiency of the carbon dioxide processing device 20, or the processing amount Gi of the processing plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide processing device 20 to maximize processing efficiency, but is not limited to this. The information processing device 30 also calculates the processing amount Gi of the processing plant 10 and the exhaust gas treatment rate PRi of the carbon dioxide processing device 20 to maximize the electricity sales price, but is not limited to this.

[0127] For example, the information processing device 30 may replace the elements included in Equations 1 to 3 with correlation elements that can be converted from those elements, and calculate the correlation elements that maximize processing efficiency. For example, the surplus power, heat output, amount of material to be burned, remaining amount of material to be burned, and power consumption of the processing plant 10 may be used as correlation elements, and if the electricity selling price correlates with the processing volume of the processing plant 10, the electricity selling price may be used as a correlation element. For example, the amount of carbon dioxide recovered by the carbon dioxide processing device 20 may be used as a correlation element.

[0128] In this embodiment, the information processing device 30 calculates, but is not limited to, the first and second power consumption amounts e1i and e2i that maximize the carbon dioxide processing efficiency of the carbon dioxide processing device 20, or the processing amount Gi of the processing plant 10 and the exhaust gas processing rate PRi of the carbon dioxide processing device 20 that maximize processing efficiency. For example, the information processing device 30 may replace the elements included in Equations 1 and 2 with correlation elements that can be converted from those elements, and calculate the correlation elements that maximize processing efficiency. For example, the surplus power of the processing plant 10 and the first power consumption amount of the carbon dioxide processing device 20 may be used as correlation elements, and if the electricity selling price correlates with the processing plant 10, the electricity selling price may be used as a correlation element.

[0129] Examples of each aspect of the technology of this disclosure are as follows. An information processing device according to the first aspect of this disclosure includes a processing circuit that performs calculations relating to the processing of carbon dioxide in a carbon dioxide processing device on carbon dioxide emitted from a plant including a power generation device. The processing circuit performs the following actions: obtains a first amount of energy for the carbon dioxide processing device required to process carbon dioxide to be processed, including carbon dioxide emitted from the plant, and a second amount of energy from the first amount that the carbon dioxide processing device receives from the plant; calculates a third amount of energy, which is the difference between the first amount of energy and the second amount of energy; and calculates the actual third amount of carbon dioxide processed by the carbon dioxide processing device based on a first amount of carbon dioxide to be processed by the carbon dioxide processing device and a second amount of carbon dioxide calculated from the third amount of energy.

[0130] According to the first embodiment, if the required first energy amount for the carbon dioxide treatment device exceeds the second energy amount, the third energy amount corresponds to the excess amount of energy. The carbon dioxide treatment by the carbon dioxide treatment device using the third energy amount uses electricity other than the power generated by the plant, and such electricity may generate carbon dioxide at least at one of the following stages: generation, storage, and transmission. Since the third treatment amount is a treatment amount that takes into account the second treatment amount based on the third energy amount which may generate carbon dioxide, it can represent the actual amount of carbon dioxide treated. It is possible to determine whether the carbon dioxide treatment is efficient or not based on the third treatment amount. Therefore, the information processing device can contribute to the efficient treatment of carbon dioxide emitted from the plant. The third energy amount may be supplied from outside the carbon dioxide treatment device. Such supply of the third energy amount may generate carbon dioxide, for example, during power generation, power storage, and power transmission.

[0131] "Acquiring information, etc." such as processing volume may include the processing circuit acquiring information, etc. from outside the information processing device, the processing circuit acquiring information, etc. through input to the input device of the information processing device, the processing circuit acquiring information, etc. from inside the information processing device, the processing circuit calculating information, etc., and the processing circuit detecting information, etc. The processing circuit acquiring information, etc. from outside the information processing device may include the processing circuit acquiring information, etc. from external devices such as devices and recording media connected to the information processing device, the processing circuit acquiring information, etc. via wired communication, wireless communication, or a combination thereof, and the processing circuit acquiring information, etc. via a communication network. The processing circuit acquiring information, etc. from outside the information processing device may include the processing circuit acquiring information, etc. from devices, storage devices, memory and storage included in the information processing device and processing circuit.

[0132] The processing circuit of the information processing device according to the second aspect of the present disclosure may further perform the calculation of the carbon dioxide processing efficiency in the carbon dioxide processing device using the first processing amount and the third processing amount, as in the first aspect.

[0133] According to the second embodiment, the carbon dioxide treatment efficiency calculated using the first treatment amount and the third treatment amount can represent the actual carbon dioxide treatment efficiency. By calculating such treatment efficiency, the information processing device can indicate the efficiency of carbon dioxide treatment emitted from the plant.

[0134] In the processing circuit of the information processing device according to the third aspect of the present disclosure, in the calculation of the third processing amount, if the second energy amount is smaller than the first energy amount, the processing circuit may use information of the first power source from which the carbon dioxide processing device receives power for the third energy amount to calculate the second processing amount such that the amount of carbon dioxide generated in the power supply of the first power source is larger, thereby reducing the third processing amount.

[0135] According to the third embodiment, the third amount of energy corresponds to the excess of the first amount of energy required by the carbon dioxide treatment device relative to the second amount of energy. The greater the amount of carbon dioxide generated during the power supply of the first power source, the greater the amount of carbon dioxide generated for the supply of the third amount of energy. The information processing device calculates the second amount of energy in such a way that the greater the amount of carbon dioxide generated during the power supply of the first power source, the smaller the third amount of energy is generated. Therefore, the third amount of energy can more accurately represent the actual amount of carbon dioxide processed by the carbon dioxide treatment device. The carbon dioxide generated during the power supply of the first power source may include carbon dioxide generated during at least one of the power generation, storage, and transmission processes at the first power source.

[0136] The processing circuit of the information processing device according to the fourth aspect of this disclosure may, in any of the first to third aspects, calculate the third amount of energy included in the first period based on the first and second amounts of energy included in the first period, and calculate the third amount of processing included in the first period based on the first and second amounts of processing included in the first period. According to the fourth aspect, the information processing device can calculate each amount of processing within the first period.

[0137] In the processing circuit of the information processing device according to the fifth aspect of this disclosure, in the calculation of the third energy amount, the difference between the first energy amount at the first time in the first period and the second energy amount at the second time in the first period corresponding to the first time may be used, and in the calculation of the third processing amount, the first processing amount at the first time may be used.

[0138] According to the fifth embodiment, the information processing device can improve the accuracy of the third energy quantity by calculating the third energy quantity using the first and second energy quantities at corresponding times. The information processing device can improve the accuracy of the third processing quantity by calculating the third processing quantity using the first processing quantity at times corresponding to the first and second energy quantities.

[0139] The processing circuit of the information processing device according to the sixth aspect of this disclosure may, in the fourth or fifth aspect, calculate the carbon dioxide processing efficiency of the carbon dioxide processing device using the first processing amount and the third processing amount, and under the constraints that the total amount of power generated by the power generation device during the first period is a fixed value and the total amount of processing by the carbon dioxide processing device during the first period is greater than or equal to a predetermined value, calculate and output two or more of the first energy quantity, the second energy quantity and the third energy quantity in order to maximize the processing efficiency. According to the sixth aspect, the information processing device can calculate the optimal processing efficiency by adjusting two or more of the first energy quantity, the second energy quantity and the third energy quantity within the constraints. Therefore, the information processing device can contribute to improving processing efficiency.

[0140] The processing circuit of the information processing device according to the seventh aspect of this disclosure may, in any of the fourth to sixth aspects, calculate the carbon dioxide processing efficiency of the carbon dioxide processing device using the first processing amount and the third processing amount, and under the constraints that the total amount of power generated by the power generation device during the first period is a fixed value and the total amount of processing by the carbon dioxide processing device during the first period is greater than or equal to a predetermined value, calculate and output the processing amount of the plant and the amount of carbon dioxide processed by the carbon dioxide processing device in order to maximize the processing efficiency. According to the seventh aspect, the information processing device can calculate the optimal processing efficiency by adjusting the processing amount of the plant and the processing amount of the carbon dioxide processing device within the constraints. Therefore, the information processing device can contribute to improving processing efficiency.

[0141] The processing circuit of the information processing device according to the eighth aspect of this disclosure may, in any of the fourth to seventh aspects, calculate the carbon dioxide processing efficiency of the carbon dioxide processing device using the first processing amount and the third processing amount, and based on the selling price of the generated electricity during the first period, the amount of electricity generated by the power generation device during the first period, the amount of electricity required by the carbon dioxide processing device during the first period, and the processing efficiency, calculate and output either or both of the amount of electricity generated by the power generation device and the amount of electricity used by the carbon dioxide processing device during the first period, so as to maximize the revenue from selling the generated electricity during the first period. According to the eighth aspect, the information processing device can calculate the optimal revenue from selling electricity. Therefore, the information processing device can contribute to improving both the revenue from selling electricity and the processing efficiency.

[0142] The carbon dioxide treatment apparatus according to the ninth aspect of this disclosure comprises an information processing apparatus according to any of the first to eighth aspects described above. According to the ninth aspect, the carbon dioxide treatment apparatus can achieve the same effects as the information processing apparatus according to the first to eighth aspects.

[0143] A system according to the tenth aspect of this disclosure includes an information processing device according to any of the first to eighth aspects, the carbon dioxide processing device, and the plant. According to the tenth aspect, the system can achieve the same effects as the information processing device according to the first to eighth aspects.

[0144] An information processing method relating to an eleventh aspect of this disclosure is an information processing method for performing calculations concerning the processing of carbon dioxide in a carbon dioxide processing device for carbon dioxide emitted from a plant including a power generation device. The information processing method includes calculating a third amount of energy, which is the difference between a first amount of energy required for the carbon dioxide processing device to process carbon dioxide to be processed, including carbon dioxide emitted from the plant, and a second amount of energy supplied to the carbon dioxide processing device from the plant from the first amount of energy; and calculating the actual third amount of carbon dioxide processed by the carbon dioxide processing device based on a first amount of carbon dioxide to be processed by the carbon dioxide processing device and a second amount of carbon dioxide processed calculated from the third amount of energy.

[0145] According to the 11th aspect, the information processing method can realize the same functions as the information processing device according to the 1st to 8th aspects.

[0146] The information processing method according to the twelfth aspect of this disclosure may further include, in the eleventh aspect described above, calculating the carbon dioxide processing efficiency in the carbon dioxide processing apparatus using the first processing amount and the third processing amount.

[0147] For example, the information processing method disclosed herein may be implemented by a processor, a processing circuit, a combination of processing circuits and circuits, an IC card, or a standalone module. The technology disclosed herein may be a program for executing the information processing method, or a non-temporary computer-readable recording medium on which the program is recorded. Needless to say, the program can be distributed via a transmission medium such as the Internet.

[0148] The functions of the elements disclosed herein can be performed using circuits or processing circuits, including general-purpose processors, dedicated processors, integrated circuits, ASICs, conventional circuits, and / or combinations thereof, configured or programmed to perform the disclosed functions. A processor is considered a processing circuit or circuit because it includes transistors and other circuits. In this disclosure, a circuit, unit, or means is hardware that performs the enumerated functions, or hardware programmed to perform the enumerated functions. The hardware may be hardware disclosed herein, or other known hardware that is programmed or configured to perform the enumerated functions. If the hardware is a processor, which is considered a type of circuit, then the circuit, means, or unit is a combination of hardware and software, and the software is used to configure the hardware and / or the processor.

[0149] The ordinal numbers, quantities, and other figures used above are all illustrative to specifically illustrate the technology of this disclosure, and this disclosure is not limited to these illustrative figures. Furthermore, the connection relationships between the components are illustrative to specifically illustrate the technology of this disclosure, and the connection relationships that realize the functions of this disclosure are not limited to these.

[0150] The division of blocks in the functional block diagram is just one example; multiple blocks may be implemented as a single block, one block may be divided into multiple parts, and / or some functions may be moved to other blocks. Furthermore, the functions of multiple blocks with similar functions may be processed in parallel or time-sharing by a single piece of hardware or software.

[0151] This disclosure is defined more by the appended claims than by the description in the specification, so that it can be implemented in various ways without departing from the spirit of its essential features. Therefore, the scope of this disclosure is defined more by the appended claims than by the description in the specification; thus, exemplary embodiments and variations are illustrative and not limiting. All modifications within the scope of the claims, or equivalents of the claims, are intended to be encompassed by the claims. [Explanation of symbols]

[0152] 1. Processing System 10 Processing Plants 11. Power generation equipment 20 Carbon dioxide treatment equipment 30 Information Processing Devices P Processor M Memory

Claims

1. An information processing device including a processing circuit that performs calculations related to the processing of carbon dioxide in a carbon dioxide treatment device for carbon dioxide emitted from a plant including a power generation device, The aforementioned processing circuit is To obtain the first amount of electricity required for the carbon dioxide treatment device to treat the carbon dioxide to be treated, including the carbon dioxide emitted from the plant, and the second amount of electricity from the first amount that the carbon dioxide treatment device receives from the plant, Calculating the third energy quantity, which is the difference between the first energy quantity and the second energy quantity, An information processing device that calculates the effective third amount of carbon dioxide processed by the carbon dioxide processing device based on the first amount of carbon dioxide to be processed by the carbon dioxide processing device and the second amount of carbon dioxide calculated from the third amount of electricity.

2. The processing circuit further calculates the carbon dioxide processing efficiency in the carbon dioxide processing apparatus using the first processing amount and the third processing amount. The information processing apparatus according to claim 1.

3. The aforementioned processing circuit is In the calculation of the third processing amount, If the second amount of energy is less than the first amount of energy, the carbon dioxide treatment device uses the information of the first power source from which it receives the third amount of energy, The amount of carbon dioxide generated during the power supply of the first power source is greater, and the second processing amount is calculated to reduce the third processing amount. The information processing apparatus according to claim 1.

4. The aforementioned processing circuit is Based on the first and second amounts of energy included in the first period, the third amount of energy included in the first period is calculated. Based on the first and second processing amounts included in the first period, the third processing amount included in the first period is calculated. The information processing apparatus according to claim 1.

5. The aforementioned processing circuit is In the calculation of the third energy quantity, the difference between the first energy quantity at the first time in the first period and the second energy quantity at the second time in the first period corresponding to the first time is used. The calculation of the third processing amount uses the first processing amount at the first time step. The information processing apparatus according to claim 4.

6. The aforementioned processing circuit is The carbon dioxide processing efficiency in the carbon dioxide processing apparatus is calculated using the first processing amount and the third processing amount. Under the constraints that the total amount of power generated by the power generation device during the first period is a fixed value, and the total amount of carbon dioxide processed by the carbon dioxide processing device during the first period is greater than or equal to a predetermined value, two or more of the first, second, and third energy values ​​are calculated and output in order to maximize the processing efficiency. The information processing apparatus according to claim 4 or 5.

7. The aforementioned processing circuit is The carbon dioxide processing efficiency in the carbon dioxide processing apparatus is calculated using the first processing amount and the third processing amount. Under the constraints that the total amount of power generated by the power generation device during the first period is a fixed value, and the total amount of carbon dioxide processed by the carbon dioxide processing device during the first period is greater than or equal to a predetermined value, the processing volume of the plant and the amount of carbon dioxide processed by the carbon dioxide processing device are calculated and output in order to maximize the processing efficiency. The information processing apparatus according to claim 4 or 5.

8. The aforementioned processing circuit is The carbon dioxide processing efficiency in the carbon dioxide processing apparatus is calculated using the first processing amount and the third processing amount. Based on the selling price of the generated electricity during the first period, the amount of electricity generated by the power generation device during the first period, the amount of electricity required by the carbon dioxide treatment device during the first period, and the processing efficiency, the system calculates and outputs either or both of the amount of electricity generated by the power generation device and the amount of electricity used by the carbon dioxide treatment device during the first period, so as to maximize the revenue from selling the generated electricity during the first period. The information processing apparatus according to claim 4 or 5.

9. A carbon dioxide processing apparatus comprising the information processing apparatus described in claim 1.

10. The information processing apparatus according to claim 1, The carbon dioxide treatment apparatus, A system including the aforementioned plant.

11. An information processing method for performing calculations related to the processing of carbon dioxide in a carbon dioxide treatment device for carbon dioxide emitted from a plant including a power generation device, The process involves calculating a third amount of energy, which is the difference between a first amount of energy required for the carbon dioxide treatment device to treat the carbon dioxide to be treated, including the carbon dioxide emitted from the plant, and a second amount of energy supplied to the carbon dioxide treatment device from the plant, from the first amount of energy. An information processing method comprising calculating the effective third amount of carbon dioxide processed by the carbon dioxide processing device based on the first amount of carbon dioxide to be processed by the carbon dioxide processing device and the second amount of carbon dioxide calculated from the third amount of electricity.

12. The process further includes calculating the carbon dioxide processing efficiency in the carbon dioxide processing apparatus using the first processing amount and the third processing amount. The information processing method according to claim 11.

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