Device, method, and computer-readable storage medium for estimating carbon dioxide reduction pathway, and device, method, and computer-readable storage medium for estimating physical quantity for carbon dioxide reduction

Abstract

According to an embodiment of the present invention, a device for estimating a carbon dioxide reduction pathway may comprise one or more processors, and a storage medium for storing computer-readable instructions, wherein the computer-readable instructions are configured to, when executed by the one or more processors, cause the one or more processors to: receive basic information and an expected event for each of a unit capture facility, a unit utilization facility, and a unit storage facility for carbon dioxide, the expected event including data regarding an operation rate of each predetermined period for each of the unit capture facility, the unit utilization facility, and the unit storage facility; generate a reduction pathway on the basis of the basic information and the expected event; construct master data including the generated reduction pathway; and output the reduction pathway included in the master data in a time-series manner, wherein the reduction pathway is a pathway formed by a combination of storage by the unit storage facility and utilization by the unit utilization facility with respect to carbon dioxide captured in the unit capture facility.

Description

Device, method, and computer-readable storage medium for estimating carbon dioxide reduction paths, device, method, and computer-readable storage medium for estimating physical quantities for carbon dioxide reduction

[0001] The present application relates to Carbon dioxide Capture, Utilization, and Storage (CCUS), and the present application relates to an apparatus, method, and computer-readable storage medium for estimating a carbon dioxide reduction path, an apparatus, method, and computer-readable storage medium for estimating a physical quantity for carbon dioxide reduction.

[0002] Countries around the world have submitted their 2030 Nationally Determined Contributions (NDCs) to the UN, an international organization, to realize greenhouse gas reductions. In addition, many countries have declared carbon neutrality by around 2050, but the basis for estimating detailed pathways for such greenhouse gas reduction or carbon neutrality is insufficient.

[0003] For example, South Korea’s 2030 NDC target, announced in March 2023, presents only the annual CO2 emissions or absorption amounts by sector (capture, storage, utilization), but lacks an explanation of the reduction pathways used to derive these figures, resulting in a problem of insufficient explanation for achieving the target. Here, reduction pathways refer to how much of the captured carbon dioxide is utilized and how much is stored.

[0004] Furthermore, the carbon dioxide processing volume required by the CCUS sector is not calculated separately for each sector. For example, since electricity and hydrogen are necessary to realize the carbon dioxide processing volume by the CCUS sector, linkages or cross-flows between various sectors (e.g., power generation, hydrogen, and industrial sectors) must be considered.

[0005] Furthermore, since target power production for the generation sector has conventionally been set by considering only the industrial sector, it is necessary to reflect the power generated by the newly added hydrogen or CCUS sectors in the target power production for carbon neutrality.

[0006] In addition, with the emergence of hydrogen, it is necessary to reflect the hydrogen consumption of the power generation and CCUS sectors in the target hydrogen production volume of the hydrogen sector.

[0007] The matters described above as background technology are intended only to enhance understanding of the background of the present invention and should not be construed as an acknowledgment that they constitute prior art already known to those skilled in the art.

[0008] (Patent Document 1) Published Patent KR10-2014-0025106 ("Method for Greenhouse Gas Reduction and Value Added through Capture, Fixation, and Conversion of Carbon Dioxide", Publication Date: March 4, 2014)

[0009] According to one embodiment of the present invention, a carbon dioxide reduction path estimation device, method, and computer-readable storage medium are provided, which can improve readability by visualizing the reduction path (utilization amount, storage amount) of captured carbon dioxide and can advance the methodology for estimating the carbon dioxide reduction path.

[0010] According to another embodiment of the present invention, there is provided an apparatus, method, and computer-readable storage medium for estimating physical quantities for carbon dioxide reduction, capable of determining the throughput of carbon dioxide by a CCUS sector introduced in accordance with carbon neutrality.

[0011] According to another embodiment of the present invention, a device, method, and computer-readable storage medium for estimating physical quantities for carbon dioxide reduction are provided, which can reflect the amount of electricity generated by a newly added hydrogen sector or CCUS sector for carbon neutrality in the target power production volume, and can reflect the amount of hydrogen consumed by power generation facilities and CCUS facilities in the target hydrogen production volume of hydrogen facilities.

[0012] According to one embodiment of the present invention, a carbon dioxide reduction path estimation device comprises: one or more processors; and a storage medium storing computer-readable instructions, wherein the computer-readable instructions, when executed by the one or more processors, cause the one or more processors to receive basic information and predicted events—the predicted events include data regarding the operating rate of each of the unit capture facility, the unit utilization facility, and the unit storage facility for a predetermined period—for each unit capture facility, unit utilization facility, and unit storage facility of carbon dioxide, generate a reduction path based on the basic information and the predicted events, construct master data including the generated reduction path, and output the reduction path included in the master data in a time-series manner, wherein the reduction path is a path formed by a combination of storage by the unit storage facility and utilization by the unit utilization facility for carbon dioxide captured by the unit capture facility.

[0013] According to one embodiment of the present invention, each of the unit capture facility, the unit utilization facility, and the unit storage facility comprises at least two, and the reduction path may be a path comprising a combination of utilization by at least two unit utilization facilities and storage by at least two unit storage facilities for carbon dioxide captured by at least two unit capture facilities.

[0014] According to one embodiment of the present invention, the reduction path may include at least two or more.

[0015] According to one embodiment of the present invention, at least two reduction paths may include a combination of the total amount of carbon dioxide stored by at least two unit storage facilities and the total amount of carbon dioxide utilized by at least two unit utilization facilities, with respect to the total amount of carbon dioxide captured by at least two unit capture facilities.

[0016] According to one embodiment of the present invention, basic information for the unit capture facility includes at least one of classification attributes, main raw materials, main products, power generation amount, carbon dioxide emission amount, capture rate, capture amount, final emission amount, start time, and end time; basic information for the unit utilization facility and the unit storage facility includes at least one of classification attributes, proposed throughput, required capture amount, reduction amount, reduction rate, input power amount, start time, and end time; and basic information for the unit utilization facility may further include at least one of the type of reducing agent, annual input amount of reducing agent, and product amount.

[0017] According to one embodiment of the present invention, the one or more processors may be configured to output at least two or more of the reduction paths at predetermined intervals.

[0018] According to one embodiment of the present invention, the one or more processors may be configured to output at least one of the total amount of carbon dioxide captured in at least two of the unit capture facilities, the total amount of carbon dioxide processed in at least two of the unit utilization facilities, and the amount of carbon dioxide processed in the unit storage facilities at predetermined intervals.

[0019] According to one embodiment of the present invention, the one or more processors may be configured to output a processing cost for each of at least two reduction paths.

[0020] According to one embodiment of the present invention, a method for estimating a carbon dioxide reduction path comprises: receiving basic information and predicted events—the predicted events include data regarding the operating rate of each of the unit capture facility, the unit utilization facility, and the unit storage facility for a predetermined period—for each unit capture facility, the unit utilization facility, and the unit storage facility; generating a reduction path based on the basic information and the predicted events and constructing master data including the generated reduction path; and outputting the reduction path included in the master data in a time series, wherein the reduction path may be a path formed by a combination of storage by the unit storage facility and utilization by the unit utilization facility for carbon dioxide captured by the unit capture facility.

[0021] According to one embodiment of the present invention, a computer-readable storage medium is provided that stores a program for executing the method on a computer.

[0022] According to another embodiment of the present invention, a physical quantity estimation device for carbon dioxide reduction comprises: one or more processors; and a storage medium storing computer-readable instructions, wherein the computer-readable instructions, when executed by the one or more processors, cause the one or more processors to: receive sector-specific data—the sectors include at least one of a hydrogen facility for producing hydrogen, a power generation facility for producing electricity, and an industrial facility for producing products—and, based on the input sector-specific data, estimate the sector-specific target throughput of a CCUS (Carbon dioxide Capture, Utilization, and Storage) facility for processing carbon dioxide produced by at least one of the hydrogen facility, the power generation facility, and the industrial facility, wherein the sector-specific data includes the target hydrogen production volume of the hydrogen facility, the target electricity production volume of the power generation facility, and the target product production volume of the industrial facility.

[0023] According to another embodiment of the present invention, the hydrogen facility is a facility that produces hydrogen based on electricity produced by the power generation facility and emits carbon dioxide in the process of producing the hydrogen; the power generation facility is a facility that produces electricity based on the hydrogen produced by the hydrogen facility and emits carbon dioxide in the process of producing the electricity; the industrial facility is a facility that produces a product based on the electricity produced by the power generation facility and the hydrogen produced by the hydrogen facility and emits carbon dioxide in the process of producing the product; and the CCUS facility may be a facility that processes carbon dioxide produced by at least one of the hydrogen facility, the power generation facility, and the industrial facility based on the electricity produced by the power generation facility and the hydrogen produced by the hydrogen facility.

[0024] According to another embodiment of the present invention, the one or more processors may be configured to calculate, for the hydrogen facility, a first throughput of carbon dioxide to be processed by the CCUS facility based on a first emission of carbon dioxide based on the target hydrogen production amount, for the power generation facility, a second throughput of carbon dioxide to be processed by the CCUS facility based on a second emission of carbon dioxide based on the target power production amount, for the industrial facility, a third throughput of carbon dioxide to be processed by the CCUS facility based on a third emission of carbon dioxide based on the target product production amount, and to estimate the first throughput, the second throughput, and the third throughput as the sector-specific target throughput.

[0025] According to another embodiment of the present invention, the method may be configured to calculate a first carbon dioxide emission amount by multiplying the target hydrogen production amount by a first carbon emission coefficient, calculate a first throughput amount by multiplying the first carbon dioxide emission amount by a preset processing weight, calculate a second carbon dioxide emission amount by multiplying the target power production amount by a second carbon emission coefficient, calculate a second throughput amount by multiplying the second carbon dioxide emission amount by the processing weight, calculate a third carbon dioxide emission amount by multiplying the target product production amount by a third carbon emission coefficient, and calculate a third throughput amount by multiplying the third carbon dioxide emission amount by the processing weight.

[0026] According to another embodiment of the present invention, the one or more processors can calculate the second throughput for each detailed industrial facility.

[0027] According to another embodiment of the present invention, the one or more processors may update the target power production amount based on the sectoral data or update the target hydrogen production amount based on the sectoral data.

[0028] According to another embodiment of the present invention, the one or more processors may be configured to calculate a first power consumption amount by multiplying the target hydrogen production amount by the power consumption amount per hydrogen production unit for the hydrogen facility, calculate a second power consumption amount by multiplying the target product production amount by the power consumption amount per product production unit for the industrial facility, calculate a third power consumption amount by multiplying the value obtained by adding the first throughput, the second throughput, and the third throughput by the power consumption amount per carbon dioxide treatment unit for the CCUS facility, and update the value obtained by adding the first power consumption amount, the second power consumption amount, and the third power consumption amount as the target power production amount.

[0029] According to another embodiment of the present invention, the one or more processors may be configured to calculate the second power consumption amount for each detailed industrial facility.

[0030] According to another embodiment of the present invention, the second power consumption amount may be a value already included in the target power production amount.

[0031] According to another embodiment of the present invention, the one or more processors may be configured to calculate a first hydrogen consumption amount by multiplying the hydrogen consumption amount per power production unit by the power production amount obtained by multiplying the target power production amount by the carbon-free power generation ratio for the power generation facility, calculate a second hydrogen consumption amount by multiplying the hydrogen consumption amount per product production unit by the target product production amount for the industrial facility, calculate a third hydrogen consumption amount by multiplying the hydrogen consumption amount per processing unit by the value obtained by adding the first throughput, the second throughput, and the third throughput for the CCUS facility, and update the value obtained by adding the first hydrogen consumption amount, the second hydrogen consumption amount, and the third hydrogen consumption amount as the target hydrogen production amount.

[0032] According to another embodiment of the present invention, the one or more processors can perform operations according to a predetermined period.

[0033] According to another embodiment of the present invention, a method for estimating physical quantities for carbon dioxide reduction comprises: a first step of receiving data by sector—the sector includes at least one of a hydrogen facility for producing hydrogen, a power generation facility for producing electricity, and an industrial facility for producing products—and a second step of estimating a target throughput by sector for a CCUS (Carbon dioxide Capture, Utilization, and Storage) facility for processing carbon dioxide produced by at least one of the hydrogen facility, the power generation facility, and the industrial facility, based on the input data by sector. The data by sector includes a target hydrogen production volume of the hydrogen facility, a target electricity production volume of the power generation facility, and a target product production volume of the industrial facility.

[0034] According to another embodiment of the present invention, a computer-readable storage medium is provided that stores a program for executing the method on a computer.

[0035] According to one embodiment of the present invention, master data including reduction paths based on basic information and expected events is constructed for each unit capture facility, unit utilization facility, and unit storage facility of carbon dioxide, and by outputting the reduction paths included in the master data in a time series, the reduction paths (utilization amount, storage amount) of the captured carbon dioxide can be visualized to improve readability.

[0036] In addition, according to one embodiment of the present invention, when master data is modified, the reduction path and reduction cost estimation can be automatically modified thereafter, thereby enhancing the methodology for estimating the carbon dioxide reduction path, and it can be applied equally to greenhouse gas reduction paths at the corporate level as well as to national-level greenhouse gas reduction paths with different system scales.

[0037] According to another embodiment of the present invention, by receiving sector-specific data and estimating the sector-specific target throughput of a CCUS facility for processing carbon dioxide produced by at least one of a hydrogen facility, a power generation facility, and an industrial facility based on the input sector-specific data, the throughput of carbon dioxide by the CCUS sector introduced in accordance with carbon neutrality can be obtained.

[0038] In addition, according to another embodiment of the present invention, by updating the target power production of the power generation facility based on sector-specific data, the amount of power generated by the newly added hydrogen sector or CCUS sector for carbon neutrality can be reflected in the target power production.

[0039] In addition, according to another embodiment of the present invention, by updating the target hydrogen production volume of the hydrogen facility based on sector-specific data, the hydrogen consumption of the power generation facility and the CCUS facility can be reflected in the target hydrogen production volume of the hydrogen facility.

[0040] FIG. 1 is a block diagram of a carbon dioxide reduction path estimation device according to one embodiment of the present invention.

[0041] FIGS. 2 and FIGS. 3 are drawings illustrating master data according to one embodiment of the present invention.

[0042] FIG. 4 is a diagram illustrating a reduction path output in a time series according to one embodiment of the present invention.

[0043] FIG. 5 is a flowchart illustrating a method for estimating a carbon dioxide reduction path according to one embodiment of the present invention.

[0044] FIG. 6 is a block diagram of a physical quantity estimation device for carbon dioxide reduction according to another embodiment of the present invention.

[0045] FIG. 7 is a diagram illustrating the flow of electricity, carbon dioxide, and hydrogen in each sector according to another embodiment of the present invention.

[0046] FIG. 8 is a diagram exemplarily illustrating the projected power consumption for each sector obtained according to another embodiment of the present invention.

[0047] FIG. 9 is a diagram exemplarily illustrating projected carbon dioxide emissions by detailed industry obtained according to another embodiment of the present invention.

[0048] FIG. 10 is a diagram illustrating, exemplarily, the projected hydrogen consumption for each sector according to one embodiment of the present invention.

[0049] FIG. 11 is a diagram exemplarily illustrating the annual target throughput of carbon dioxide by each sector by a CCUS facility according to one embodiment of the present invention.

[0050] FIG. 12 is a flowchart schematically illustrating a method for estimating physical quantities for carbon dioxide reduction according to one embodiment of the present invention.

[0051] FIGS. 13 and 14 are flowcharts specifically illustrating a method for estimating physical quantities for carbon dioxide reduction according to one embodiment of the present invention.

[0052] FIG. 15 is a block diagram of a computing device capable of wholly or partially implementing a carbon dioxide reduction path estimation device according to one embodiment of the present invention or a physical quantity estimation device for carbon dioxide reduction according to another embodiment of the present invention.

[0053] Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The following detailed description is provided to facilitate a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, this is merely illustrative and the present invention is not limited thereto.

[0054] In describing the embodiments of the present invention, detailed descriptions of known technologies related to the present invention are omitted if it is determined that such descriptions would unnecessarily obscure the essence of the invention. Furthermore, the terms described below are defined in consideration of their functions within the present invention, and these definitions may vary depending on the intentions or practices of the user or operator. Therefore, such definitions should be based on the content throughout this specification. Terms used in the detailed description are intended merely to describe the embodiments of the present invention and should not be limiting. Unless explicitly stated otherwise, expressions in the singular form include the meaning of the plural form. In this description, expressions such as "include" or "comprise" are intended to refer to certain characteristics, numbers, steps, actions, elements, parts thereof, or combinations thereof, and should not be interpreted to exclude the existence or possibility of one or more other characteristics, numbers, steps, actions, elements, parts thereof, or combinations thereof other than those described.

[0055] FIG. 1 is a block diagram of a carbon dioxide reduction path estimation device according to one embodiment of the present invention. As shown in FIG. 1, a carbon dioxide reduction path estimation device (100) according to one embodiment of the present invention may include an input unit (110), a control unit (120), and a storage unit (130).

[0056] First, the input unit (110) receives basic information and predicted events for each unit capture facility, unit utilization facility, and unit storage facility of carbon dioxide, and transmits them to the control unit (120). Here, the predicted events may include data regarding the operating rate of each unit capture facility, unit utilization facility, and unit storage facility for a predetermined period. In the following, the predetermined period is described using a year as an example, but it is not necessarily limited thereto, and it is obvious to those skilled in the art that it may be, for example, a quarter.

[0057] For example, in the case of a unit capture facility, a 50% operating rate can be entered in the first year of operation (2028) and a 100% operating rate from the second year onwards, after design, etc. Also, for example, in the case of a unit storage facility, a 50% operating rate can be entered in the first year of operation (2029) and a 100% operating rate from the second year onwards, after design, etc.

[0058] Meanwhile, the control unit (120) can output a reduction path in a time series based on basic information and expected events. This control unit (120) may include one or more processors.

[0059] Specifically, the control unit (120) can generate a reduction path based on basic information and expected events, and build master data including the generated reduction path.

[0060] In the present invention, a reduction path may refer to a path consisting of a combination of storage by a unit storage facility and utilization by a unit utilization facility for carbon dioxide captured by a unit capture facility.

[0061] Hereinafter, master data according to an embodiment of the present invention will be described in detail with reference to FIGS. 2 and FIGS. 3.

[0062] FIGS. 2 and FIGS. 3 are drawings illustrating master data according to an embodiment of the present invention, illustrating one unit capture facility, one unit storage facility, and one unit utilization facility as examples. FIG. 2 illustrates basic information and a path (210) for a unit capture facility of carbon dioxide, and FIG. 3 illustrates basic information and a path (320) for a unit utilization facility and a unit storage facility of carbon dioxide.

[0063] As illustrated in FIG. 2, basic information of a unit carbon dioxide capture facility may include at least one of classification attributes (Classification 1 to Classification 3), main raw materials, main products, power generation, carbon dioxide emissions, capture rate, captured amount, final emissions, a start time (e.g., a start year), and an end time (e.g., an end year). Here, power generation, carbon dioxide emissions, capture rate, captured amount, and final emissions are values ​​over a predetermined period, for example, annual power generation, annual capture rate, annual captured amount, and annual final emissions.

[0064] Additionally, as illustrated in FIG. 3, basic information regarding unit utilization facilities and unit storage facilities may include at least one of classification attributes, proposed throughput, required capture amount, reduction amount, reduction rate, input power amount, start time (e.g., start year), and end time (e.g., end year). In particular, basic information regarding unit utilization facilities may further include at least one of the type of reducing agent, input amount of reducing agent, and product amount. Similar to FIG. 3, the proposed throughput, required capture amount, throughput, reduction amount, input amount of reducing agent, and product amount may be values ​​for a predetermined period, for example, annual proposed throughput, annual required capture amount, annual throughput, annual reduction amount, annual input amount of reducing agent, and annual product amount.

[0065] Meanwhile, the master data may further include reduction paths (210, 320). For example, the reduction paths may be represented by binary numbers (0 or 1), where binary 0 indicates that the facility is not used in the reduction path, and binary 1 indicates that the facility is used in the reduction path.

[0066] For example, the reduction path (210, 320) may be path 1 (1, 1, 0), which means that the captured carbon dioxide can be processed by a unit storage facility alone.

[0067] For example, the reduction path (210, 320) may be path 2 to 4 (1, 1, 1), which means that the captured carbon dioxide can be processed by both the unit storage facility and the unit utilization facility.

[0068] In the above-described embodiment, binary numbers 1 and 0 are used to indicate the reduction path, but it can also be expressed as a decimal point such as 1.1 instead of 1, and in this case, the amount of capture or throughput can be expressed as a relative size.

[0069] Meanwhile, in the present invention, each of the unit capture facility, unit utilization facility, and unit storage facility may include at least two, and thus, FIG. 2 and FIG. 3 may each be composed of multiple rows. In this case, the reduction path may mean a path consisting of a combination of utilization by at least two unit utilization facilities and storage by at least two unit storage facilities for carbon dioxide captured by at least two unit capture facilities.

[0070] In this way, when each of the unit capture facility, unit utilization facility, and unit storage facility includes at least two, the reduction path may include at least two, and the at least two reduction paths may be paths that include a combination of the total amount of carbon dioxide captured by at least two unit capture facilities, the total amount of carbon dioxide utilized by at least two unit utilization facilities, and the total amount of carbon dioxide stored by at least two unit storage facilities. Here, the total amount of capture and the total amount of throughput are values ​​over a predetermined period, for example, the annual total amount of capture and the annual total amount of throughput.

[0071] The following section explains the process of calculating the capture volume for a unit capture facility using mathematical formulas as examples. It goes without saying that this process can be similarly applied when calculating the throughput of a unit utilization facility or the throughput of a unit storage facility.

[0072] First, physical quantities related to carbon dioxide capture can be expressed as shown in the following mathematical formula 1, taking into account the capture efficiency and annual operating rate.

[0073] [Mathematical Formula 1]

[0074]

[0075] Here, V cap Annual physical carbon dioxide capture (actual amount captured) per unit capture facility [t-CO2 / yr], V e is the maximum annual carbon dioxide emission [t-CO2 / hr] based on a unit capture facility, η cap silver Carbon dioxide capture efficiency of a unit capture facility [%], η op can mean the annual operating rate [%] of the unit collection facility.

[0076] The net capture amount, considering energy consumption or CO2 emissions during the capture process, is given by Equation 2 below.

[0077] [Mathematical Formula 2]

[0078]

[0079] Here, V cap,net ε = Annual net carbon dioxide capture [t-CO2 / yr] based on a unit capture facility cap can mean the efficiency [%] of the unit collection facility.

[0080] Next, it is explained by the step of transporting carbon dioxide. At this time, the physical quantity (V) transported is described. trans ) is the amount of physically captured carbon dioxide (V) as shown in Equation 3 below. cap )am.

[0081] [Mathematical Formula 3]

[0082]

[0083] If carbon dioxide leakage during the transfer process is ignored, this amount is the same as the injection amount for storage, but the net injection amount can account for energy consumption and carbon dioxide emissions for transfer. That is, the net amount of carbon dioxide transferred is given by Equation 4 below.

[0084] [Mathematical Formula 4]

[0085]

[0086] Here, V trans,net ε is the annual physical CO2 capture capacity [t-CO2 / yr] based on a unit facility. trans It can refer to the efficiency of a unit transfer facility.

[0087] Considering the steps of injecting and storing the transported carbon dioxide, the physical quantities associated with this process can be summarized by the following Equation 5. If there is no leakage, the injection volume is equal to the transport volume ( It can be assumed that...

[0088] [Mathematical Formula 5]

[0089]

[0090] Here, V stored,netAnnual net carbon dioxide storage [t-CO2 / yr] based on unit facility, V inj ε represents the annual physical carbon dioxide injection amount (actual injection amount) per unit facility [t-CO2 / yr]. inj It can refer to the efficiency of a unit injection facility.

[0091] Therefore, the net storage amount (V) considering the entire CCS process from capture to transport to injection to storage ccs,net ) is summarized by the following Equation 6 (excluding leakage amount).

[0092] [Mathematical Formula 6]

[0093]

[0094] When there are multiple unit facilities, the physical quantity can be calculated as the sum of them as shown in Equation 7 below. That is, it is the amount of collection that takes into account all collection facilities operating in a specific year j, and this is the amount of collection that takes into account the start year and end year of each facility.

[0095] [Mathematical Formula 7]

[0096]

[0097] Here, V cap,unit,J is the total carbon dioxide capture [t-CO2 / yr] of facilities operating in year J, V cap,i,J [t-CO2 / yr] may represent the amount of carbon dioxide captured when unit capture facility i is operating in year J.

[0098] In addition, the amount of carbon dioxide captured by a specific I capture facility during the entire project period can be expressed as shown in Equation 8 below.

[0099] [Mathematical Formula 8]

[0100]

[0101] Here, V cap,I,year is the total annual carbon dioxide capture amount of Facility I [Nm 3 It can mean / yr].

[0102] According to one embodiment of the present invention, the control unit (120) may further assign a path multiplier as follows to each reduction path.

[0103] For example, a path multiplier of 0 may be a case where the operation of the equipment is assumed, but the probability of operation is extremely low. For example, a path multiplier of 1 may be a case where the equipment is operating normally at 100% load. For example, a path multiplier of M may be a case where M units of equipment of the same capacity are operating normally at 100% load.

[0104] Meanwhile, the total annual carbon dioxide captured by specific facility I under specific path K (V cap,I,year,K ) and the amount of carbon dioxide captured in a specific year J (V cap,unit,J,K Each of these can be summarized as the following mathematical equation 9.

[0105] [Mathematical Formula 9]

[0106]

[0107]

[0108] Referring again to FIG. 1, the control unit (120) can output the reduction path included in the master data in a time series.

[0109] FIG. 4 is a diagram illustrating a reduction path output in a time series according to an embodiment of the present invention. FIG. 4 illustrates one reduction path (e.g., path 2), but it is obvious that other reduction paths can be illustrated together by using different colors.

[0110] As illustrated in FIG. 4, the control unit (120) can output the amount of carbon dioxide captured by the unit capture facility (410), the amount of carbon dioxide utilized by the unit utilization facility (420), and the amount of carbon dioxide stored by the unit storage facility (430) by year.

[0111] In addition, if each of the unit capture facility, unit utilization facility, and unit storage facility includes at least two, it is possible to output at least one of the total amount of carbon dioxide captured by at least two unit capture facilities, the total amount of carbon dioxide processed by at least two unit utilization facilities, and the amount of carbon dioxide processed by unit storage facilities on an annual basis.

[0112] In addition, according to one embodiment of the present invention, the control unit (120) may output additional processing costs for each of at least two reduction paths.

[0113] Finally, the storage unit (130) can store various programs and various data (e.g., the master data described above) for implementing the functions of the control unit (120) described above.

[0114] As described above, according to one embodiment of the present invention, master data is constructed for each unit capture facility, unit utilization facility, and unit storage facility of carbon dioxide, including reduction paths based on basic information and expected events, and by outputting the reduction paths included in the master data in a time series, the reduction paths (utilization amount, storage amount) of the captured carbon dioxide can be visualized to improve readability.

[0115] In addition, according to one embodiment of the present invention, when master data is modified, the reduction path and reduction cost estimation can be automatically modified thereafter, thereby enhancing the methodology for estimating the carbon dioxide reduction path, and it can be applied equally to greenhouse gas reduction paths at the corporate level as well as to national-level greenhouse gas reduction paths with different system scales.

[0116] Meanwhile, FIG. 5 is a flowchart illustrating a method for estimating a carbon dioxide reduction path according to one embodiment of the present invention.

[0117] Hereinafter, a method (S500) for estimating a carbon dioxide reduction path according to an embodiment of the present invention will be described with reference to FIGS. 1 to 5. However, for the sake of simplicity of the invention, descriptions that overlap with FIGS. 1 to 4 are omitted.

[0118] Referring to FIGS. 1 to 5, a method for estimating a carbon dioxide reduction path (S500) according to one embodiment of the present invention may be initiated by receiving basic information and expected events for each unit capture facility, unit utilization facility, and unit storage facility of carbon dioxide (S501). Here, as described above, the expected events may include data regarding the operating rate of each unit capture facility, unit utilization facility, and unit storage facility over a predetermined period.

[0119] The carbon dioxide reduction path estimation device (100) can generate a reduction path based on basic information and expected events, and build master data including the generated reduction path (S502).

[0120] As previously stated, in the present invention, the reduction path may refer to a path consisting of a combination of storage by a unit storage facility and utilization by a unit utilization facility for carbon dioxide captured by a unit capture facility.

[0121] Meanwhile, in the present invention, each of the unit capture facility, unit utilization facility, and unit storage facility may include at least two or more.

[0122] As described above, when each of the unit capture facility, unit utilization facility, and unit storage facility includes at least two, the reduction path may include at least two, and the at least two reduction paths may be a path that includes a combination of the total amount of carbon dioxide utilized by at least two unit utilization facilities and the total amount of carbon dioxide stored by at least two unit storage facilities with respect to the total amount of carbon dioxide captured by at least two unit capture facilities.

[0123] The carbon dioxide reduction path estimation device (100) can output the reduction path included in the master data in a time series (S503).

[0124] For example, the carbon dioxide reduction path estimation device (100) can output the amount of carbon dioxide captured by a unit capture facility (410), the amount of carbon dioxide utilized by a unit utilization facility (420), and the amount of carbon dioxide stored by a unit storage facility (430) by year.

[0125] In addition, if each of the unit capture facility, unit utilization facility, and unit storage facility includes at least two, the carbon dioxide reduction path estimation device (100) can output at least one of the total amount of carbon dioxide captured in at least two unit capture facilities, the total amount of carbon dioxide processed in at least two unit utilization facilities, and the amount of carbon dioxide processed in the unit storage facility on an annual basis.

[0126] In addition, according to one embodiment of the present invention, the carbon dioxide reduction path estimation device (100) may further output a processing cost for each of at least two reduction paths, as described above.

[0127] FIG. 6 is a block diagram of a physical quantity estimation device for carbon dioxide reduction according to another embodiment of the present invention. Meanwhile, FIG. 7 is a diagram illustrating the flow of electricity, carbon dioxide, and hydrogen by sector according to another embodiment of the present invention.

[0128] As illustrated in FIG. 6, a physical quantity estimation device (600) for carbon dioxide reduction according to another embodiment of the present invention may include an input unit (610), a control unit (620), a storage unit (630), and an output unit (640).

[0129] First, the input unit (610) can receive sector-specific data for carbon dioxide reduction and transmit it to the control unit (620).

[0130] In the present invention, the sector is a sector related to carbon dioxide emission and treatment, and may include hydrogen facilities, power generation facilities, industrial facilities, and CCUS (Carbon dioxide Capture, Utilization, and Storage) facilities.

[0131] In addition, sector-specific data may include target hydrogen production volume for hydrogen facilities, target power production volume for power generation facilities, and target product production volume for industrial facilities.

[0132] Specifically, the target hydrogen production volume is an assumed value that may change annually in accordance with carbon neutrality targets over a specified period (e.g., annually), and may be a value subject to future updates. This target hydrogen production volume may be the sum of hydrogen consumption in each sector, excluding hydrogen facilities. The target hydrogen production volume may be entered by a nationally accredited institution.

[0133] Meanwhile, in the present invention, hydrogen is a type of carbon-free energy source, and it goes without saying that various carbon-free energy sources other than hydrogen can be used.

[0134] The aforementioned target power production is an assumed value that may change annually over a specified period (e.g., by year) and may be subject to future updates. This target power production may be a value calculated by subtracting the power consumption of each sector, excluding power generation facilities. The target power production may be entered by a state-accredited institution.

[0135] The target product production volume may be a value that changes annually depending on the goals of the company producing the product.

[0136] Meanwhile, Figure 7 illustrates the flow of electricity, carbon dioxide, and hydrogen for each sector.

[0137] As illustrated in FIG. 7, the power generation sector (10) may include power generation facilities that produce electricity, and may produce electricity based on hydrogen (H2) produced in the hydrogen sector (20) and fossil fuels, and may emit carbon dioxide (CO2) in the process of producing electricity.

[0138] The hydrogen sector (20) may include a hydrogen facility that produces hydrogen, and produces hydrogen (H2) based on electricity produced in the power generation sector, and may emit carbon dioxide (CO2) in the process of producing hydrogen (H2).

[0139] The CCUS sector (30) may include facilities for capturing and processing carbon dioxide, and can capture, store, and utilize carbon dioxide (CO2) produced by at least one of the power generation sector (10), the hydrogen sector (20), and the industrial sector (40) based on electricity produced in the power generation sector (10) and hydrogen produced in the hydrogen sector (20).

[0140] The industrial sector (40) may include industrial facilities for producing products, such as steel facilities, chemical facilities, semiconductor facilities, etc. This industrial sector (40) produces products based on electricity produced in the power generation sector (10) and hydrogen (H2) produced by the hydrogen sector (20), and may emit carbon dioxide (CO2) during the process of producing products.

[0141] Meanwhile, although not shown in Fig. 7, a transportation sector may be included, but since the transportation sector has a very small proportion compared to other sectors, it is omitted in the present invention.

[0142] Referring again to FIG. 6, the control unit (620) may include one or more processors and may perform at least one of the following operations: a first operation of estimating the target throughput of each sector of a CCUS facility for processing carbon dioxide produced by at least one of a hydrogen facility, a power generation facility, and an industrial facility based on sector-specific data; a second operation of updating the target power production amount based on sector-specific data; and a third operation of updating the target hydrogen production amount based on sector-specific data. These operations may be performed at a predetermined period, for example, on an annual basis.

[0143] Below, each action is explained in detail by distinguishing between them.

[0144] 1. Estimation of Target Throughput for Each Sector of the CCUS Facility

[0145] First, the control unit (620) can calculate the first amount of carbon dioxide to be processed by the CCUS facility based on the first amount of carbon dioxide based on the target hydrogen production amount for the hydrogen facility.

[0146] Specifically, the control unit (620) can calculate a first carbon dioxide emission amount by multiplying the target hydrogen production amount by a first carbon emission factor (unit: t-CO2 / t-H2), and then calculate a first throughput amount by multiplying the first carbon dioxide emission amount by a preset processing ratio. Here, the processing ratio can be appropriately set according to the needs of a person skilled in the art, and the first carbon emission factor (unit: t-CO2 / t-H2) may be a value that decreases year by year according to the annual carbon neutrality target.

[0147] Afterwards, the control unit (620) can calculate the second amount of carbon dioxide to be processed by the CCUS facility based on the second amount of carbon dioxide emissions based on the target power production amount for the power generation facility.

[0148] Specifically, the control unit (620) can calculate a second carbon dioxide emission by multiplying the target power production amount by a second carbon emission factor (unit: t-CO2 / MWh), and then calculate a second throughput by multiplying the second carbon dioxide emission amount by a processing ratio. Here, the processing ratio can be appropriately set according to the needs of a person skilled in the art, and the second carbon emission factor (unit: t-CO2 / MWh) may be a value that decreases year by year according to the carbon neutrality goal.

[0149] Afterwards, the control unit (620) can calculate the third amount of carbon dioxide to be processed by the CCUS facility according to the third amount of carbon dioxide emissions based on the target product production volume for the industrial facility.

[0150] Specifically, the control unit (620) can calculate a third carbon dioxide emission by multiplying the target product production volume by a third carbon emission factor (unit: t-CO2 / t, t is ton), and then calculate a third throughput by multiplying the third carbon dioxide emission by a processing ratio. Here, the processing ratio can be appropriately set according to the needs of a person skilled in the art, and the third carbon emission factor (unit: t-CO2 / t, t is ton) may be a value that decreases year by year according to the carbon neutrality goal.

[0151] Here, the control unit (620) can calculate the second throughput for each detailed industrial facility. For example, this means that the third carbon dioxide emission amount for each detailed industry can be calculated by multiplying the target product production amount for each detailed industry by the third carbon emission factor.

[0152] Finally, the control unit (620) can estimate the first throughput, the second throughput, and the third throughput as the target throughput for each sector.

[0153] Meanwhile, FIG. 11 is a diagram exemplarily illustrating the annual target throughput of carbon dioxide by each sector by a CCUS facility according to another embodiment of the present invention. In FIG. 11, reference numeral 1101 may be the annual target throughput of the CCUS facility for carbon dioxide generated in the power generation sector, reference numeral 1102 may be the annual target throughput of the CCUS facility for carbon dioxide generated in the industrial sector, and reference numeral 1103 may be the annual target throughput of the CCUS facility for carbon dioxide generated in the hydrogen sector.

[0154] As shown in Figure 11, it can be seen that the target carbon dioxide throughput by the CCUS facility for each sector increases and then decreases over the years. This is because, as the proportion of carbon neutrality increases, the amount of hydrogen used increases year by year, while the carbon emission factor decreases year by year.

[0155] 2. Update Target Power Production

[0156] The control unit (620) can calculate the first power consumption for the hydrogen facility by multiplying the target hydrogen production amount by the power consumption per unit of hydrogen production (unit: MWh / t-H2).

[0157] Afterwards, the control unit (620) can calculate the second power consumption for the industrial facility by multiplying the target product production amount by the power consumption per product production unit (unit: MWh / t).

[0158] Here, the control unit (620) can calculate the second power consumption for each detailed industrial facility. For example, this means that the second power consumption for each detailed industry can be calculated by multiplying the target product production volume for each detailed industry by the power consumption per product production unit (unit: MWh / t).

[0159] Afterwards, the control unit (620) can calculate the third power consumption for the CCUS facility by multiplying the sum of the first throughput, the second throughput, and the third throughput by the power consumption per carbon dioxide treatment unit (unit: MWh / t-CO2).

[0160] Here, the power consumption per hydrogen production unit and the power consumption per product production unit can be appropriately set according to the carbon neutrality goal.

[0161] Subsequently, the control unit (620) can update the value obtained by adding the first power consumption amount, the second power consumption amount, and the third power consumption amount as the target power production amount. The second power consumption amount may be a value already included in the aforementioned target power production amount, in which case the control unit (620) can update the value obtained by adding the first power consumption amount and the third power consumption amount as the target power production amount.

[0162] 3. Update on Target Hydrogen Production Volume

[0163] The control unit (620) can calculate the first hydrogen consumption amount for a power generation facility by multiplying the power production amount obtained by multiplying the carbon-free power generation ratio of the target power production amount by the power production amount per power production unit (unit: t-H2 / MWh).

[0164] Afterwards, the control unit (620) can calculate the second amount of hydrogen consumed by multiplying the target amount of product produced by the amount of hydrogen consumed per unit of product production (unit: t-H2 / t) for the industrial facility.

[0165] Subsequently, the control unit (620) can calculate the third hydrogen consumption amount for the CCUS facility by multiplying the sum of the first throughput, the second throughput, and the third throughput by the hydrogen consumption amount per processing unit (unit: t-H2 / t). The aforementioned hydrogen consumption amount per power production unit, hydrogen consumption amount per product production unit, and hydrogen consumption amount per processing unit can be appropriately set according to the carbon neutrality goal.

[0166] Afterwards, the control unit (620) can update the value obtained by adding the first hydrogen consumption amount, the hydrogen consumption amount, and the third hydrogen consumption amount to the target hydrogen production amount.

[0167] Referring again to FIG. 6, the storage unit (630) can store various programs and various data (e.g., the master data described above) for implementing the functions of the control unit (620) described above.

[0168] The output unit (640) can output various data obtained from the control unit (620), etc., as shown in FIGS. 8 to 11.

[0169] FIG. 8 is a diagram exemplarily illustrating the projected power consumption for each sector obtained according to another embodiment of the present invention.

[0170] In FIG. 8, reference numeral 801 may be the projected power consumption in the conversion sector, reference numeral 802 may be the projected power consumption in the CCUS sector, and reference numeral 803 may be the projected power consumption in the hydrogen sector.

[0171] FIG. 9 is a diagram exemplarily illustrating projected carbon dioxide emissions by detailed industry obtained according to another embodiment of the present invention.

[0172] In FIG. 9, reference numeral 901 may be a projected carbon dioxide emission value in Industry 1, and reference numeral 902 may be a projected carbon dioxide emission value in Industry 2.

[0173] FIG. 10 is a diagram illustrating, exemplarily, the projected hydrogen consumption for each sector according to one embodiment of the present invention.

[0174] In FIG. 10, reference numeral 1001 may be a projected hydrogen consumption in the conversion sector, reference numeral 1002 may be a projected hydrogen consumption in the industrial sector, and reference numeral 1003 may be a projected hydrogen consumption in the transportation sector.

[0175] As described above, according to another embodiment of the present invention, by receiving sector-specific data and estimating the sector-specific target throughput of a CCUS facility for processing carbon dioxide produced by at least one of a hydrogen facility, a power generation facility, and an industrial facility based on the input sector-specific data, the throughput of carbon dioxide by the CCUS sector introduced in accordance with carbon neutrality can be obtained.

[0176] In addition, according to another embodiment of the present invention, by updating the target power production of the power generation facility based on sector-specific data, the amount of power generated by the newly added hydrogen sector or CCUS sector for carbon neutrality can be reflected in the target power production.

[0177] In addition, according to another embodiment of the present invention, by updating the target hydrogen production volume of the hydrogen facility based on sector-specific data, the hydrogen consumption of the power generation facility and the CCUS facility can be reflected in the target hydrogen production volume of the hydrogen facility.

[0178] Meanwhile, FIG. 12 is a flowchart schematically illustrating a method for estimating physical quantities for carbon dioxide reduction according to another embodiment of the present invention.

[0179] Referring to FIG. 12, a method for estimating physical quantities for carbon dioxide reduction (S1200) according to another embodiment of the present invention can be schematically described as follows: receiving sector-specific data for carbon dioxide reduction (S1201), estimating sector-specific target throughput of a CCUS facility based on sector-specific data (S1202), updating target power production based on sector-specific data (S1203), and updating target hydrogen production based on sector-specific data (S1204).

[0180] FIGS. 13 and 14 are flowcharts specifically illustrating a method for estimating physical quantities for carbon dioxide reduction according to another embodiment of the present invention.

[0181] Referring to FIGS. 13 and 14, a method for estimating physical quantities for carbon dioxide reduction (S1300) according to another embodiment of the present invention may be initiated by the step of receiving sector-specific data for carbon dioxide reduction (S1310).

[0182] In the present invention, the sector is a sector related to carbon dioxide emission and treatment, and may include hydrogen facilities, power generation facilities, industrial facilities, and CCUS (Carbon dioxide Capture, Utilization, and Storage) facilities.

[0183] In addition, sector-specific data may include target hydrogen production volume for hydrogen facilities, target power production volume for power generation facilities, and target product production volume for industrial facilities.

[0184] Specifically, the target hydrogen production volume is an assumed value that may change annually in accordance with carbon neutrality targets over a specified period (e.g., annually), and may be a value subject to future updates. This target hydrogen production volume may be the sum of hydrogen consumption in each sector, excluding hydrogen facilities. The target hydrogen production volume may be entered by a nationally accredited institution.

[0185] The target power production is an assumed value that may change annually over a specified period (e.g., by year) and may be subject to future updates. This target power production may be a value calculated by subtracting the power consumption of each sector, excluding power generation facilities. The target power production may be entered by a state-accredited institution.

[0186] As previously stated, the target product production volume may be a value that changes year by year depending on the goals of the company producing the product.

[0187] Subsequently, calculations for the hydrogen sector (S1320), calculations for the power generation sector (S1330), calculations for the industrial sector (S1340), and calculations for the CCUS sector (S1350) may be performed. Although FIGS. 13 and 14 illustrate that calculations for the power generation sector (S1330), calculations for the industrial sector (S1340), and calculations for the CCUS sector (S1350) are performed sequentially, it is understood that they may also be performed in parallel.

[0188] Hereinafter, this will be explained in detail with reference to FIGS. 13 and 14.

[0189] First, the physical quantity estimation device (600) for carbon dioxide reduction can perform calculations (S1320) for the hydrogen sector.

[0190] A physical quantity estimation device (600) for carbon dioxide reduction can calculate a first carbon dioxide emission amount based on a target hydrogen production amount for a hydrogen facility (S1321).

[0191] For example, the first carbon dioxide emission can be calculated by multiplying the target hydrogen production by the first carbon emission factor.

[0192] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can calculate the first throughput of carbon dioxide to be processed by the CCUS facility (S1322).

[0193] For example, the first amount of carbon dioxide to be processed by the CCUS facility can be calculated by multiplying the first amount of carbon dioxide emissions by a preset processing ratio.

[0194] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can calculate the first power consumption amount based on the target hydrogen production amount for the hydrogen facility (S1323).

[0195] For example, the first power consumption can be calculated by multiplying the target hydrogen production volume by the power consumption of the hydrogen production unit.

[0196] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can perform calculations (S1330) for the power generation sector.

[0197] Specifically, the physical quantity estimation device (600) for carbon dioxide reduction can calculate a second carbon dioxide emission amount based on the target power production amount for the power generation facility (S1331).

[0198] For example, the second carbon dioxide emission can be calculated by multiplying the target power production by a second carbon emission factor.

[0199] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can calculate the second throughput of carbon dioxide to be processed by the CCUS facility (S1332).

[0200] For example, the second throughput can be calculated by multiplying the second carbon dioxide emission by the processing proportion.

[0201] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can calculate the first hydrogen consumption amount by multiplying the hydrogen consumption amount per power production unit by the power production amount obtained by multiplying the target power production amount by the carbon-free power generation ratio (S1333).

[0202] Next, the physical quantity estimation device (600) for carbon dioxide reduction can perform calculations (S1340) for the industrial sector.

[0203] Specifically, the physical quantity estimation device (600) for carbon dioxide reduction can calculate a third carbon dioxide emission based on the target product production volume for industrial facilities (S1341).

[0204] For example, the third carbon dioxide emission can be calculated by multiplying the target product production volume by the third carbon emission factor.

[0205] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can calculate the third throughput of carbon dioxide to be processed by the CCUS facility (S1342).

[0206] For example, the third throughput can be calculated by multiplying the third carbon dioxide emissions by the processing proportion.

[0207] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can calculate a second amount of power consumption based on the target product production amount for industrial facilities (S1343).

[0208] For example, the second power consumption can be calculated by multiplying the target product production volume by the power consumption of the product production unit.

[0209] Afterwards, the second amount of hydrogen consumed can be calculated based on the target product production volume (S1344).

[0210] For example, the second amount of hydrogen consumed can be calculated by multiplying the target product production volume by the amount of hydrogen consumed per product production unit.

[0211] Meanwhile, the physical quantity estimation device (600) for carbon dioxide reduction can perform calculations (S1350) for the CCUS sector.

[0212] Specifically, the physical quantity estimation device (600) for carbon dioxide reduction can calculate the third power consumption amount based on the sum of the first throughput, the second throughput, and the third throughput (S1351).

[0213] For example, the third power consumption can be calculated by multiplying the sum of the first throughput, the second throughput, and the third throughput by the power consumption of the carbon dioxide treatment unit.

[0214] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can calculate the third hydrogen consumption amount based on the sum of the first throughput, the second throughput, and the third throughput (S1352).

[0215] For example, the third hydrogen consumption amount can be calculated by multiplying the sum of the first throughput, the second throughput, and the third throughput by the hydrogen consumption amount per processing unit.

[0216] Afterwards, the physical quantity estimation device (600) for carbon dioxide reduction can estimate the target throughput for each sector.

[0217] For example, the first throughput, second throughput, and third throughput can be estimated as target throughputs for each sector (S1360).

[0218] In addition, the physical quantity estimation device (100) for carbon dioxide reduction can update the target power production amount (S1370).

[0219] For example, the sum of the first power consumption, the second power consumption, and the third power consumption can be updated as the target power production.

[0220] In addition, the physical quantity estimation device (600) for carbon dioxide reduction can update the target hydrogen production amount (S1380).

[0221] For example, the sum of the first hydrogen consumption amount, the second hydrogen consumption amount, and the third hydrogen consumption amount can be updated as the target hydrogen production amount.

[0222] As described above, according to another embodiment of the present invention, by receiving sector-specific data and estimating the sector-specific target throughput of a CCUS facility for processing carbon dioxide produced by at least one of a hydrogen facility, a power generation facility, and an industrial facility based on the input sector-specific data, the throughput of carbon dioxide by the CCUS sector introduced in accordance with carbon neutrality can be obtained.

[0223] In addition, according to another embodiment of the present invention, by updating the target power production of the power generation facility based on sector-specific data, the amount of power generated by the newly added hydrogen sector or CCUS sector for carbon neutrality can be reflected in the target power production.

[0224] In addition, according to another embodiment of the present invention, by updating the target hydrogen production volume of the hydrogen facility based on sector-specific data, the hydrogen consumption of the power generation facility and the CCUS facility can be reflected in the target hydrogen production volume of the hydrogen facility.

[0225] Finally, FIG. 15 is a block diagram of a computing device (1500) capable of wholly or partially implementing a carbon dioxide reduction path estimation device according to one embodiment of the present invention or a physical quantity estimation device for carbon dioxide reduction according to another embodiment of the present invention.

[0226] As illustrated in FIG. 15, the computing device (1500) includes at least one processor (501), a computer-readable storage medium (1502), and a communication bus (1503).

[0227] The processor (1501) can cause the computing device (1500) to operate according to the exemplary embodiment described above. For example, the processor (1501) can execute one or more programs stored in a computer-readable storage medium (1502). The one or more programs may include one or more computer-executable instructions, and the computer-executable instructions may be configured to cause the computing device (1500) to perform operations according to the exemplary embodiment when executed by the processor (1501).

[0228] A computer-readable storage medium (1502) is configured to store computer-executable instructions or program code, program data and / or other suitable forms of information. A program (1502a) stored in the computer-readable storage medium (1502) includes a set of instructions executable by a processor (1501). In one embodiment, the computer-readable storage medium (1502) may be memory (volatile memory such as random access memory, non-volatile memory, or a suitable combination thereof), one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, other forms of storage media that are accessed by a computing device (1500) and capable of storing desired information, or a suitable combination thereof.

[0229] The communication bus (1503) interconnects various other components of the computing device (1500), including the processor (1501) and the computer-readable storage medium (1502).

[0230] The computing device (1500) may also include one or more input / output interfaces (1505) and one or more network communication interfaces (1506) that provide an interface for one or more input / output devices (1504). The input / output interfaces (1505) and network communication interfaces (1506) are connected to a communication bus (1503). The network may be any one of a cellular network, such as GSM (Global System for Mobile Communications), EDGE (Enhanced Data Rates for GSM Evolution), GPRS (General Packet Radio Service), CDMA (Code Division Multiple Access), Time Division-CDMA (TD-CDMA), UMTS (Universal Mobile Telecommunications System), LTE (Long Term Evolution), or other cellular networks. Additionally, the network communication interface (1506) may further include NFC (Near Field Communication), which is one of the wireless tag technologies.

[0231] An input / output device (1504) may be connected to other components of a computing device (1500) through an input / output interface (1505). An exemplary input / output device (1504) may include a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touchpad or touchscreen), a voice or sound input device, various types of sensor devices and / or input devices such as a camera, and / or output devices such as a display device, a printer, a speaker and / or a network card. An exemplary input / output device (1504) may be included inside the computing device (1500) as a component constituting the computing device (1500), or it may be connected to the computing device (500) as a separate device distinct from the computing device (1500).

[0232] Meanwhile, embodiments of the present invention may include a program for performing the methods described herein on a computer, and a computer-readable recording medium containing said program. The computer-readable recording medium may include program instructions, local data files, local data structures, etc., either alone or in combination. The medium may be one specifically designed and configured for the present invention, or one that is commonly available in the field of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of said programs may include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

[0233] Although representative embodiments of the present invention have been described in detail above, those skilled in the art will understand that various modifications can be made to the above-described embodiments without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the claims set forth below as well as equivalents thereof.

[0234] (Explanation of symbols)

[0235] 100: Carbon dioxide reduction path estimation device

[0236] 110: Input section

[0237] 120: Control unit

[0238] 130: Storage section

[0239] 210, 320: Reduction Path

[0240] 410: Amount of carbon dioxide captured by a unit capture facility

[0241] 420: Throughput of carbon dioxide utilized by unit utilization facilities

[0242] 430: Throughput of carbon dioxide stored by a unit storage facility

[0243] 600: Physical quantity estimation device for carbon dioxide reduction

[0244] 610: Input section

[0245] 620: Control unit

[0246] 630: Storage section

[0247] 640: Output section

[0248] 1500: A block diagram of a computing device capable of wholly or partially implementing a carbon dioxide reduction path estimation device or a physical quantity estimation device for carbon dioxide reduction according to one embodiment of the present invention.

[0249] 1501: Processor

[0250] 1502: Computer-readable storage media

[0251] 1502a: program

[0252] 1503: Communication bus

[0253] 1504: Input / Output Devices

[0254] 1505: Input / Output Interface

[0255] 1506: Network communication interface

Claims

1. In a carbon dioxide reduction path estimation device, One or more processors; and It includes a storage medium that stores computer-readable instructions, When the above computer-readable instruction is executed by the above one or more processors, the above one or more processors: For each unit capture facility, unit utilization facility, and unit storage facility of carbon dioxide, basic information and predicted events—the said predicted events include data regarding the operating rate of each of the said unit capture facility, said unit utilization facility, and said unit storage facility for a predetermined period—are received as input, and Based on the above basic information and the above expected events, a reduction path is generated, and master data including the generated reduction path is constructed, It is configured to output the reduction path included in the above master data in a time series, and A carbon dioxide reduction path estimation device, wherein the above reduction path is a path formed by a combination of storage by the unit storage facility and utilization by the unit utilization facility for carbon dioxide captured by the unit capture facility.

2. In Paragraph 1, Each of the above unit capture facility, the above unit utilization facility, and the above unit storage facility comprises at least two, A carbon dioxide reduction path estimation device, wherein the above reduction path is a path comprising a combination of utilization by at least two unit utilization facilities and storage by at least two unit storage facilities for carbon dioxide captured by at least two unit capture facilities.

3. In Paragraph 2, The above reduction path is, A carbon dioxide reduction path estimation device comprising at least 2.

4. In Paragraph 3, At least two of the above reduction paths are, A carbon dioxide reduction path estimation device comprising, for the total amount of carbon dioxide captured by at least two unit capture facilities, a combination of the total amount of carbon dioxide stored by at least two unit storage facilities and the total amount of carbon dioxide utilized by at least two unit utilization facilities.

5. In Paragraph 1, Basic information regarding the above-mentioned unit capture facility includes at least one of classification attributes, major raw materials, major products, power generation amount, carbon dioxide emission amount, capture rate, capture amount, final emission amount, start time, and end time, and Basic information regarding the above-mentioned unit utilization facility and the above-mentioned unit storage facility includes at least one of classification attributes, proposed throughput, required capture amount, reduction amount, reduction rate, input power amount, start time, and end time, and A carbon dioxide reduction path estimation device, wherein basic information regarding the above-mentioned unit utilization facility further includes at least one of the type of reducing agent, the amount of reducing agent input, and the amount of product.

6. In Paragraph 3, The above one or more processors, A carbon dioxide reduction path estimation device configured to output at least two of the above reduction paths at predetermined intervals.

7. In Paragraph 3, The above one or more processors, A carbon dioxide reduction path estimation device configured to output at least one of the total amount of carbon dioxide captured in at least two of the above-mentioned unit capture facilities, the total amount of carbon dioxide processed in at least two of the above-mentioned unit utilization facilities, and the amount of carbon dioxide processed in the above-mentioned unit storage facilities at predetermined intervals.

8. In Paragraph 3, The above one or more processors, A carbon dioxide reduction path estimation device configured to output processing costs for each of at least two of the above reduction paths.

9. In the method for estimating carbon dioxide reduction pathways, A step of receiving basic information and predicted events for each unit capture facility, unit utilization facility, and unit storage facility of carbon dioxide—wherein the predicted events include data regarding the operating rate of each of the unit capture facility, unit utilization facility, and unit storage facility for a predetermined period—; A step of generating a reduction path based on the above basic information and the above expected event, and constructing master data including the generated reduction path; and It includes a step of outputting the reduction path included in the above master data in a time series, A method for estimating a carbon dioxide reduction path, wherein the above reduction path is a path formed by a combination of storage by the unit storage facility and utilization by the unit utilization facility for carbon dioxide captured by the unit capture facility.

10. A computer-readable storage medium storing a program for executing the method described in paragraph 9 on a computer.

11. In a device for estimating physical quantities for carbon dioxide reduction, One or more processors; and It includes a storage medium that stores computer-readable instructions, When the above computer-readable instruction is executed by the above one or more processors, the above one or more processors: Sector - The above sector includes at least one of hydrogen facilities for producing hydrogen, power generation facilities for producing electricity, and industrial facilities for producing products - receiving star data, and Based on the input sector-specific data, it is configured to estimate the sector-specific target throughput of a CCUS (Carbon dioxide Capture, Utilization, and Storage) facility for processing carbon dioxide produced by at least one of the hydrogen facility, the power generation facility, and the industrial facility. A device for estimating physical quantities for carbon dioxide reduction, wherein the above sector-specific data includes the target hydrogen production volume of the hydrogen facility, the target power production volume of the power generation facility, and the target product production volume of the industrial facility.

12. In Paragraph 11, The above hydrogen facility is a facility that produces hydrogen based on electricity produced by the above power generation facility and emits carbon dioxide in the process of producing the hydrogen. The above-mentioned power generation facility is a facility that produces electricity based on hydrogen produced in the above-mentioned hydrogen facility and emits carbon dioxide in the process of producing said electricity. The above industrial facility is a facility that produces products based on electricity produced by the above power generation facility and hydrogen produced by the above hydrogen facility, and emits carbon dioxide in the process of producing said products. The above CCUS facility is a device for estimating physical quantities for carbon dioxide reduction, which is a facility for processing carbon dioxide produced by at least one of the hydrogen facility, the power generation facility, and the industrial facility, based on electricity produced by the power generation facility and hydrogen produced by the hydrogen facility.

13. In Paragraph 11, The above one or more processors, For the above hydrogen facility, the first throughput of carbon dioxide to be treated by the CCUS facility is calculated according to the first emission amount of carbon dioxide based on the above target hydrogen production amount, and With respect to the above power generation facility, the second amount of carbon dioxide to be processed by the CCUS facility is calculated according to the second amount of carbon dioxide emissions based on the above target power production amount, and For the above industrial facility, the third throughput of carbon dioxide to be treated by the CCUS facility is calculated according to the third emission amount of carbon dioxide based on the above target product production volume, and A physical quantity estimation device for carbon dioxide reduction configured to estimate the first throughput, the second throughput, and the third throughput as the sector-specific target throughput.

14. In Paragraph 13, The above one or more processors, Calculate the first carbon dioxide emission amount by multiplying the above target hydrogen production amount by the first carbon emission coefficient, and then calculate the first throughput amount by multiplying the above first carbon dioxide emission amount by a preset processing proportion. After calculating the second carbon dioxide emission amount by multiplying the above target power production amount by the second carbon emission coefficient, the second throughput amount is calculated by multiplying the above second carbon dioxide emission amount by the above processing proportion. A physical quantity estimation device for carbon dioxide reduction configured to calculate a third carbon dioxide emission amount by multiplying the target product production amount by a third carbon emission coefficient, and then calculate a third throughput amount by multiplying the third carbon dioxide emission amount by the processing specific weight.

15. In Paragraph 14, The above one or more processors, A physical quantity estimation device for carbon dioxide reduction configured to calculate the second throughput for each detailed industrial facility.

16. In Paragraph 13, The above one or more processors, Based on the above sector-specific data, update the above target power production amount, or A physical quantity estimation device for carbon dioxide reduction configured to update the target hydrogen production amount based on the above sector-specific data.

17. In Paragraph 16, The above one or more processors, For the above hydrogen facility, the first power consumption is calculated by multiplying the above target hydrogen production amount by the power consumption of the hydrogen production unit, and For the above industrial facility, the second power consumption is calculated by multiplying the above target product production volume by the power consumption per product production unit, and For the above CCUS facility, the third power consumption is calculated by multiplying the sum of the first throughput, the second throughput, and the third throughput by the power consumption of the carbon dioxide treatment unit, and A physical quantity estimation device for carbon dioxide reduction configured to update the value obtained by adding the first power consumption, the second power consumption, and the third power consumption to the target power production.

18. In Paragraph 17, The above one or more processors, A physical quantity estimation device for carbon dioxide reduction configured to calculate the second power consumption amount for each detailed industrial facility.

19. In Paragraph 17, The above second power consumption is, A device for estimating physical quantities for carbon dioxide reduction, which is a value already included in the above target power production.

20. In Paragraph 14, The above one or more processors, For the above power generation facility, the first hydrogen consumption amount is calculated by multiplying the power production amount, which is the result of multiplying the above target power production amount by the carbon-free power generation ratio, by the hydrogen consumption amount per power production unit, and For the above industrial facility, the second hydrogen consumption amount is calculated by multiplying the above target product production volume by the hydrogen consumption amount per product production unit, and For the above CCUS facility, the third hydrogen consumption amount is calculated by multiplying the sum of the first throughput, the second throughput, and the third throughput by the hydrogen consumption amount per processing unit. A physical quantity estimation device for carbon dioxide reduction configured to update the sum of the first hydrogen consumption amount, the second hydrogen consumption amount, and the third hydrogen consumption amount as the target hydrogen production amount.

21. In Paragraph 11, The above one or more processors, A device for estimating physical quantities for carbon dioxide reduction that performs calculations according to a predetermined period.

22. In a method for estimating physical quantities for carbon dioxide reduction, A first step of receiving star data - the above sector includes at least one of a hydrogen facility for producing hydrogen, a power generation facility for producing electricity, and an industrial facility for producing products; and Based on the input sector-specific data, the method includes a second step of estimating the sector-specific target throughput of a CCUS (Carbon dioxide Capture, Utilization, and Storage) facility for processing carbon dioxide produced by at least one of the hydrogen facility, the power generation facility, and the industrial facility. A method for estimating physical quantities for carbon dioxide reduction, wherein the above sector-specific data includes the target hydrogen production volume of the hydrogen facility, the target power production volume of the power generation facility, and the target product production volume of the industrial facility.

23. A computer-readable storage medium storing a program for executing the method described in paragraph 22 on a computer.

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