Source-sink matching method, system and storage medium for carbon capture and storage technology

Abstract

The present invention discloses a source-sink matching method, system and storage medium for carbon capture and storage technology, the method comprising: obtaining emission source data and storage sink data; taking maximizing the total amount of carbon dioxide storage and minimizing the carbon dioxide transport equivalent as the objective function of the source-sink matching model, and constructing the constraint conditions of the carbon dioxide transportation path of multiple emission sources to multiple storage sinks; generating a carbon dioxide transportation simulation scenario according to the emission source data and the storage sink data, and solving the source-sink matching model based on the carbon dioxide transportation simulation scenario to obtain the matching results of the emission source and the storage sink; visually displaying the matching results of the emission source and the storage sink. The present invention can efficiently connect the carbon dioxide emission point with the appropriate geological storage location through source-sink matching, thereby optimizing the layout of the entire CCS system and reducing transportation costs.

Description

Technical Field

[0001] The present invention relates to the field of carbon capture and storage technology, and in particular to a source-sink matching method, system and storage medium for carbon capture and storage technology. Background Art

[0002] CCS (Carbon Capture and Storage) is the only technical option for reducing carbon emissions from existing fossil fuel infrastructure. Given today's huge energy consumption and industrial production scale, CCS technology is crucial to achieving carbon neutrality goals. However, there is still a lack of practical experience in large-scale deployment of CCS technology, which limits the development of CCS technology and the improvement of its economic benefits. Summary of the invention

[0003] The embodiments of the present invention provide a source-sink matching method, system and storage medium for carbon capture and storage technology, which can efficiently connect carbon dioxide emission points with suitable geological storage locations through source-sink matching, thereby optimizing the layout of the entire CCS system and reducing transportation costs.

[0004] An embodiment of the present invention provides a source-sink matching method for carbon capture and storage technology, comprising:

[0005] Acquire emission source data and storage sink data, wherein the emission source data includes emission source location and emission source emission, and the storage sink data includes storage sink location, storage amount and storage sink injection capacity;

[0006] Maximizing the total amount of CO2 storage and minimizing the CO2 transport equivalent are used as the objective function of the source-sink matching model, and the constraints on the CO2 transport path of multiple emission sources to multiple storage sinks are constructed;

[0007] Generate a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solve the source-sink matching model based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink;

[0008] The matching results of the emission sources and storage sinks are visualized.

[0009] As an improvement of the above scheme, the objective function of the source-sink matching model is to maximize the total amount of CO2 storage and minimize the CO2 transport equivalent, including:

[0010] A first objective function that maximizes the total amount of carbon dioxide storage is set, wherein the first objective function includes the following formula:

[0011]

[0012] Where T1 is the total amount of carbon dioxide that can be stored by carbon capture and storage technology (Mt), ST ij is the storage capacity from emission source i to storage sink j (Mt); I and J are the collections of emission sources and storage sinks, respectively; X ij is a binary variable. When emission source i and storage sink j are matched successfully, X ij =1, otherwise X ij =0.

[0013] As an improvement of the above scheme, the objective function of the source-sink matching model is to maximize the total amount of CO2 storage and minimize the CO2 transport equivalent, including:

[0014] A second objective function of minimizing carbon dioxide transport equivalent is set, wherein the second objective function includes the following formula:

[0015]

[0016] Where T2 is the cumulative carbon dioxide transport equivalent (Mt km); TS ij is the amount of carbon dioxide transported from emission source i to storage sink j (Mt); X j * is the weight coefficient. If j is an onshore storage site, then X j * =1, if j is an offshore storage site, then X j * =1.55; D ij is the distance between emission source i and storage sink j (km).

[0017] As an improvement of the above scheme, the constraint conditions for constructing the carbon dioxide transportation path of multiple emission sources to multiple storage sinks include:

[0018]

[0019] Where, CAP i is the capture amount of emission source i; EM i is the emission of source i (Mt); CR is the CO2 capture rate of the emission source;

[0020]

[0021] Where D * is the maximum transport distance of CO2 (km); TS max is the upper limit of annual flow of carbon dioxide in a single pipeline (Mt);

[0022]

[0023] Where RT is the operational life of the carbon capture and storage project (y); SPj is the storage capacity of storage sink j (Mt); IC j is the maximum annual injection capacity of storage sink j (Mt / y).

[0024] As an improvement of the above solution, the constraint condition further includes a balance condition and a non-negativity constraint, wherein the balance condition includes:

[0025]

[0026] In the formula, ST j is the storage capacity of storage sink j (Mt); CAP ij is the amount of emission source i stored in storage sink j; TS ij is the amount of CO2 transported from emission source i to storage sink j (Mt); ST ij is the storage volume from emission source i to storage sink j (Mt);

[0027] The non-negativity constraints include:

[0028]

[0029] As an improvement of the above scheme, the generating of a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solving the source-sink matching model based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink, includes:

[0030] Taking at least one fixed value as the upper limit of the transportation distance from the emission source location to the storage sink location, to obtain the carbon dioxide transportation simulation scenario;

[0031] In the carbon dioxide transport simulation scenario, the weighted average carbon dioxide transport distance of each emission source is calculated by the following formula:

[0032]

[0033] Where D i is the CO2 transport distance for each emission source i.

[0034] As an improvement of the above scheme, the constraint conditions for constructing the carbon dioxide transportation path of multiple emission sources to multiple storage sinks include:

[0035] Marking the emission source location and the storage sink location in a map system;

[0036] Obtaining, through the map system, a feasible path between each of the emission sources and the storage sink, and a transportation mode corresponding to each of the feasible paths;

[0037] Calculate the transportation cost coefficient between each of the emission sources and the storage sink according to the feasible path and the transportation mode;

[0038] The carbon dioxide transportation distance in the constraint condition is weightedly calculated using the transportation cost coefficient.

[0039] Another embodiment of the present invention provides a source-sink matching system for carbon capture and storage technology, including:

[0040] A data acquisition module, used to acquire emission source data and storage sink data, wherein the emission source data includes emission source location and emission source emission, and the storage sink data includes storage sink location, storage amount and storage sink injection capacity;

[0041] Model building module, used to maximize the total amount of CO2 storage and minimize the CO2 transport equivalent as the objective function of the source-sink matching model, and to construct the constraints of the CO2 transport path from multiple emission sources to multiple storage sinks;

[0042] A model calculation module, used to generate a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solve the source-sink matching model based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink;

[0043] A visualization module is used to visualize the matching results of the emission sources and storage sinks.

[0044] Another embodiment of the present invention provides a source-sink matching system for carbon capture and storage technology, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the source-sink matching method for carbon capture and storage technology described in the above-mentioned embodiment of the invention is implemented.

[0045] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the source-sink matching method for carbon capture and storage technology as described in the above-mentioned embodiment of the invention.

[0046] Compared with the prior art, the present invention can help emission sources identify and match storage sinks suitable for carbon dioxide storage, which is helpful to formulate more reasonable CCS project planning and ensure the maximization of economic and environmental benefits; by collecting high-precision data on emission sources and storage sites, using data processing software and algorithms, the collected data is processed and analyzed to provide a visual display of the results; a multi-objective source-sink matching model with maximizing the total amount of carbon dioxide storage and minimizing the cumulative carbon dioxide transport equivalent as the optimization goals is established to solve the optimal CCS technology optimization deployment. This method can reduce the construction of carbon dioxide transportation pipelines while maximizing the emission reduction of target emission sources, and does not require the accurate local carbon dioxide transportation cost to be obtained, which can better achieve a balance between emission reduction, cost and environment to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of a source-sink matching method for carbon capture and storage technology provided by one embodiment of the present invention;

[0048] Figure 2 It is a structural schematic diagram of a source-sink matching system for carbon capture and storage technology provided by one embodiment of the present invention;

[0049] Figure 3 It is a schematic structural diagram of a source-sink matching system for carbon capture and storage technology provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 , is a flow chart of a source-sink matching method for carbon capture and storage technology provided by an embodiment of the present invention, including steps S101 to S104:

[0052] S101. Obtain emission source data and storage sink data, wherein the emission source data includes the emission source location and emission source emission amount, and the storage sink data includes the storage sink location, storage amount and storage sink injection capacity;

[0053] Specifically, in step S101, high-precision emission source data and storage sink data may be acquired in advance, the emission source location and storage sink location being detailed geographical location information, and the storage sink injection capacity including the annual maximum injection capacity of each storage sink.

[0054] S102. Maximizing the total amount of CO2 storage and minimizing the CO2 transport equivalent are used as the objective function of the source-sink matching model, and the constraints on the CO2 transport path of multiple emission sources to multiple storage sinks are constructed;

[0055] Specifically, the purpose of step S102 is to determine the model objectives and assumptions: with the goal of maximizing the total amount of CO2 storage and minimizing the carbon dioxide transport equivalent, a multi-source to multi-sink carbon dioxide transport path optimization method is adopted, that is, one source corresponds to multiple sinks, and one sink can match multiple sources according to its storage capacity, so as to systematically optimize the deployment of CCS.

[0056] S103, generating a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solving a source-sink matching model based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink;

[0057] Specifically, the source-sink matching model can be solved by a mixed integer linear programming method.

[0058] S104. Visually display the matching results of emission sources and storage sinks.

[0059] Specifically, the visual display method can be data reports, charts, etc., so as to make decisions and manage the deployment of CCS.

[0060] In this embodiment, preferably, maximizing the total amount of carbon dioxide storage and minimizing the carbon dioxide transport equivalent are used as the objective function of the source-sink matching model, including:

[0061] The first objective function of maximizing the total amount of carbon dioxide storage is set. The first objective function includes the following formula:

[0062]

[0063] Where T1 is the total amount of carbon dioxide that can be stored by carbon capture and storage technology (Mt), ST ij is the storage capacity from emission source i to storage sink j (Mt); I and J are the collections of emission sources and storage sinks, respectively; X ij is a binary variable. When emission source i and storage sink j are matched successfully, X ij =1, otherwise X ij =0.

[0064] Specifically, setting a clear objective function is an important step in CCS deployment. This objective function aims to minimize the amount of carbon dioxide in the atmosphere through source-sink matching results calculated by the model.

[0065] In this embodiment, preferably, maximizing the total amount of carbon dioxide storage and minimizing the carbon dioxide transport equivalent are used as the objective function of the source-sink matching model, including:

[0066] The second objective function of minimizing carbon dioxide transport equivalent is set, and the second objective function includes the following formula:

[0067]

[0068] Where T2 is the cumulative carbon dioxide transport equivalent (Mt km); TS ij is the amount of carbon dioxide transported from emission source i to storage sink j (Mt); X j * is the weight coefficient. If j is an onshore storage site, then X j * =1, if j is an offshore storage site, then X j * =1.55; D ij is the distance between emission source i and storage sink j (km).

[0069] Specifically, the cost of offshore carbon dioxide transportation pipelines is usually 40% to 70% higher than that of land. This embodiment takes the middle value, that is, X j * =1.55.

[0070] In a specific implementation, more accurate cost data can be obtained according to the emission source location and the storage sink location. Therefore, X can be set according to the actual cost ratio. j * The value of .

[0071] In this embodiment, preferably, the constraints on the carbon dioxide transportation paths of multiple emission sources to multiple storage sinks are constructed, including:

[0072]

[0073] Where, CAP i is the capture amount of emission source i; EM i is the emission of source i (Mt); CR is the CO2 capture rate of the emission source;

[0074]

[0075] Where D * is the maximum transport distance of CO2 (km); TS max is the upper limit of annual flow of carbon dioxide in a single pipeline (Mt);

[0076]

[0077] Where RT is the operational life of the carbon capture and storage project (y); SP j is the storage capacity of storage sink j (Mt); IC j is the maximum annual injection capacity of storage sink j (Mt / y).

[0078] Specifically, this project assumes that if an emission source undergoes a CCS project retrofit, all units of the emission source will be retrofitted with CCS projects, rather than just some of the units.

[0079] Specifically, the carbon dioxide capture rate CR of the emission source is taken as 90%.

[0080] Specifically, when the only mode of transportation is pipeline transportation, for the transportation of carbon dioxide, the longer the transportation distance of carbon dioxide, the higher its transportation cost will be. We consider the upper limit constraint of the transportation distance of carbon dioxide; in addition, considering the actual construction conditions, the carbon dioxide transportation pipeline has a maximum transportation volume limit, which means the maximum flow rate that the pipeline can carry. Therefore, the above maximum transportation distance of carbon dioxide D can be obtained. * and the annual upper limit of carbon dioxide flow in a single pipeline TS max related constraints.

[0081] Specifically, for the storage of carbon dioxide, the cumulative storage volume of the storage site is less than its storage capacity, the annual storage volume of the storage site is less than its injection capacity, and the excessive injection rate of carbon dioxide into the formation will cause formation damage, which will not only cause carbon dioxide leakage, but also induce disasters such as earthquakes. Therefore, the above-mentioned operational life RT of the carbon capture and storage project and the storage capacity SP of the storage site can be obtained. j 、The annual maximum injection capacity of the sealed exchange j IC j related constraints.

[0082] In this embodiment, preferably, the constraint conditions further include a balance condition and a non-negativity constraint, wherein the balance condition includes:

[0083]

[0084] In the formula, ST j is the storage capacity of storage sink j (Mt); CAP ij is the amount of emission source i stored in storage sink j; TS ij is the amount of CO2 transported from emission source i to storage sink j (Mt); ST ij is the storage volume from emission source i to storage sink j (Mt);

[0085] Non-negativity constraints include:

[0086]

[0087] Specifically, the above balance conditions are: equality constraints that ensure the operability of the source-sink matching model, including: 1. The capture amount of each emission source is equal to the transportation amount and storage amount of the emission source; 2. The storage amount of each sink is equal to the transportation amount and capture amount of all emission sources transported to the sink; 3. The flow at all nodes is balanced; three constraints corresponding to the above balance conditions respectively.

[0088] In this embodiment, preferably, a carbon dioxide transport simulation scenario is generated according to the emission source data and the storage sink data, and a source-sink matching model is solved based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink, including:

[0089] Taking at least one fixed value as the upper limit of the transport distance from the emission source location to the storage sink location, a simulation scenario of carbon dioxide transport is obtained;

[0090] In the CO2 transport simulation scenario, the weighted average CO2 transport distance for each emission source is calculated using the following formula:

[0091]

[0092] Where D i is the CO2 transport distance for each emission source i.

[0093] Specifically, in the pipeline transportation mode, the longer the carbon dioxide transportation distance is, the higher its transportation cost will be. Therefore, this embodiment sets 800, 500 and 250 kilometers as the upper limits of the transportation distance from the emission source location to the storage location, respectively.

[0094] Specifically, when the maximum transportation distances are 800, 500 and 250 kilometers respectively, the storage amount of the emission sources in each sink is calculated as the weight to obtain the corresponding weighted average transportation distances of 800, 500 and 250 kilometers.

[0095] In this embodiment, preferably, the constraints on the carbon dioxide transportation paths of multiple emission sources to multiple storage sinks are constructed, including:

[0096] Mark emission sources and storage sinks in the mapping system;

[0097] The feasible paths between each emission source and storage sink, as well as the transportation mode corresponding to each feasible path, are obtained through the map system;

[0098] Calculate the transportation cost coefficient between each emission source and storage sink based on feasible paths and transportation modes;

[0099] The CO2 transportation distance in the constraint condition is weighted by the transportation cost coefficient.

[0100] Specifically, when the mode of transportation is not only pipeline transportation, it is necessary to consider the combination and cost differences between different modes of transportation. The selection of a suitable transportation method usually depends on factors such as transportation distance, amount of carbon dioxide, geographical location, environmental impact, economic cost, and safety. In practical applications, these factors are often comprehensively considered according to specific circumstances, and the most suitable transportation method is selected to achieve safe and efficient transmission and storage of carbon dioxide. In a specific implementation method, in addition to pipeline transportation, it also includes shipping, road transportation, rail transportation, etc.

[0101] Specifically, the emission source locations and storage sink locations are marked in the GIS system; at this time, the terrain between each emission source location and each storage sink location, whether there are pipelines, etc. can be obtained, so as to obtain the feasible path between each emission source and storage sink.

[0102] Specifically, the transportation cost coefficient between each emission source and storage sink can be calculated according to the following formula:

[0103]

[0104] In the formula, C ij is the transportation cost coefficient between emission source i and storage sink j, K is the total number of transportation modes between emission source i and storage sink j, W ijk is the proportion of the total transport distance between emission source i and storage sink j by transport mode k, M ijk is the cost weight coefficient of transport mode k between emission source i and storage sink j.

[0105] Specifically, the carbon dioxide transportation distance in the second objective function is weighted by the transportation cost coefficient, which can be: Substitute TS in the above-mentioned constraints related to the carbon dioxide transportation equivalent T2 into ij X * j D ij X ij Replaced by TS ij X * j D ij X ij C ij Through the above constraints, the impact of different cost proportions of different transportation modes on the deployment of CCS projects can be reflected, so that the cost can be controlled to an appropriate value and a better balance between emission reduction, cost and environment can be achieved.

[0106] In summary, the embodiments of the present invention can help emission sources identify and match storage sink locations suitable for carbon dioxide storage, which is helpful to formulate more reasonable CCS project plans and ensure the maximization of economic and environmental benefits; by collecting data on high-precision emission sources and storage sites, using data processing software and algorithms, the collected data is processed and analyzed to provide a visual display of results; a multi-objective source-sink matching model with maximizing the total amount of carbon dioxide storage and minimizing the cumulative carbon dioxide transport equivalent as the optimization goals is established to solve the optimal CCS technology optimization deployment. This method can reduce the construction of carbon dioxide transportation pipelines while maximizing the emission reduction of target emission sources, and does not require the accurate local carbon dioxide transportation cost to be obtained, which can better achieve a balance between emission reduction, cost and environment to a certain extent.

[0107] See also Figure 2 , is a schematic diagram of a structure of a source-sink matching system for carbon capture and storage technology provided by an embodiment of the present invention, including:

[0108] The data acquisition module 201 is used to acquire emission source data and storage sink data, wherein the emission source data includes the emission source location and emission source emission amount, and the storage sink data includes the storage sink location, storage amount and storage sink injection capacity;

[0109] A model building module 202 is used to maximize the total amount of carbon dioxide storage and minimize the carbon dioxide transport equivalent as the objective function of the source-sink matching model, and to construct constraint conditions for the carbon dioxide transport path of multiple emission sources to multiple storage sinks;

[0110] The model calculation module 203 is used to generate a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solve the source-sink matching model based on the carbon dioxide transport simulation scenario to obtain the matching results of the emission source and the storage sink;

[0111] The visualization module 204 is used to visualize the matching results of emission sources and storage sinks.

[0112] Furthermore, maximizing the total amount of CO2 storage and minimizing the CO2 transport equivalent are taken as the objective functions of the source-sink matching model, including:

[0113] The first objective function of maximizing the total amount of carbon dioxide storage is set. The first objective function includes the following formula:

[0114]

[0115] Where T1 is the total amount of carbon dioxide that can be stored by carbon capture and storage technology (Mt), ST ij is the storage capacity from emission source i to storage sink j (Mt); I and J are the collections of emission sources and storage sinks, respectively; Xij is a binary variable. When emission source i and storage sink j are matched successfully, X ij =1, otherwise X ij =0.

[0116] Furthermore, maximizing the total amount of CO2 storage and minimizing the CO2 transport equivalent are taken as the objective functions of the source-sink matching model, including:

[0117] The second objective function of minimizing carbon dioxide transport equivalent is set, and the second objective function includes the following formula:

[0118]

[0119] Where T2 is the cumulative carbon dioxide transport equivalent (Mt km); TS ij is the amount of carbon dioxide transported from emission source i to storage sink j (Mt); X j * is the weight coefficient. If j is an onshore storage site, then X j * =1, if j is an offshore storage site, then X j * =1.55; D ij is the distance between emission source i and storage sink j (km).

[0120] Furthermore, the constraints of the CO2 transport path from multiple emission sources to multiple storage sinks are constructed, including:

[0121]

[0122] Where, CAP i is the capture amount of emission source i; EM i is the emission of source i (Mt); CR is the CO2 capture rate of the emission source;

[0123]

[0124] Where D * is the maximum transport distance of CO2 (km); TS max is the upper limit of annual flow of carbon dioxide in a single pipeline (Mt);

[0125]

[0126] Where RT is the operational life of the carbon capture and storage project (y); SP j is the storage capacity of storage sink j (Mt); IC j is the maximum annual injection capacity of storage sink j (Mt / y).

[0127] Furthermore, the constraints also include equilibrium conditions and non-negativity constraints, wherein the equilibrium conditions include:

[0128]

[0129] In the formula, ST j is the storage capacity of storage sink j (Mt); CAP ij is the amount of emission source i stored in storage sink j; TS ij is the amount of CO2 transported from emission source i to storage sink j (Mt); ST ij is the storage volume from emission source i to storage sink j (Mt);

[0130] Non-negativity constraints include:

[0131]

[0132] Furthermore, a carbon dioxide transport simulation scenario is generated based on the emission source data and the storage sink data, and the source-sink matching model is solved based on the carbon dioxide transport simulation scenario to obtain the matching results of the emission source and the storage sink, including:

[0133] Taking at least one fixed value as the upper limit of the transport distance from the emission source location to the storage sink location, a simulation scenario of carbon dioxide transport is obtained;

[0134] In the CO2 transport simulation scenario, the weighted average CO2 transport distance for each emission source is calculated using the following formula:

[0135]

[0136] Where D i is the CO2 transport distance for each emission source i.

[0137] Furthermore, the constraints of the CO2 transport path from multiple emission sources to multiple storage sinks are constructed, including:

[0138] Mark emission sources and storage sinks in the mapping system;

[0139] The feasible paths between each emission source and storage sink, as well as the transportation mode corresponding to each feasible path, are obtained through the map system;

[0140] Calculate the transportation cost coefficient between each emission source and storage sink based on feasible paths and transportation modes;

[0141] The CO2 transportation distance in the constraint condition is weighted by the transportation cost coefficient.

[0142] In summary, the embodiments of the present invention can help emission sources identify and match storage sink locations suitable for carbon dioxide storage, which is helpful to formulate more reasonable CCS project plans and ensure the maximization of economic and environmental benefits; by collecting data on high-precision emission sources and storage sites, using data processing software and algorithms, the collected data is processed and analyzed to provide a visual display of results; a multi-objective source-sink matching model with maximizing the total amount of carbon dioxide storage and minimizing the cumulative carbon dioxide transport equivalent as the optimization goals is established to solve the optimal CCS technology optimization deployment. This method can reduce the construction of carbon dioxide transportation pipelines while maximizing the emission reduction of target emission sources, and does not require the accurate local carbon dioxide transportation cost to be obtained, which can better achieve a balance between emission reduction, cost and environment to a certain extent.

[0143] See also Figure 3 , is a schematic diagram of a source-sink matching system for carbon capture and storage technology provided in an embodiment of the present invention. The source-sink matching system for carbon capture and storage technology in this embodiment includes: a processor 1, a memory 2, and a computer program stored in the memory 2 and executable on the processor, such as a source-sink matching program for carbon capture and storage technology. When the processor 1 executes the computer program, the steps in the above-mentioned source-sink matching method embodiments for carbon capture and storage technology are implemented. Alternatively, when the processor 1 executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0144] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the source-sink matching system for carbon capture and storage technology.

[0145] The source-sink matching system for carbon capture and storage technology may include, but is not limited to, a processor and a memory. Those skilled in the art may understand that the schematic diagram is only an example of the source-sink matching system for carbon capture and storage technology, and does not constitute a limitation on the source-sink matching system for carbon capture and storage technology, and may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, the source-sink matching system for carbon capture and storage technology may also include input and output devices, network access devices, CAN buses, etc.

[0146] An embodiment of the present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the source-sink matching method for carbon capture and storage technology as described in Embodiment 1 of the present invention.

[0147] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the source-sink matching system for carbon capture and storage technology, and uses various interfaces and lines to connect the various parts of the entire source-sink matching system for carbon capture and storage technology.

[0148] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the source-sink matching system for carbon capture and storage technology by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0149] Wherein, if the module / unit for the source-sink matching system integration of carbon capture and storage technology is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0150] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0151] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A source-sink matching method for carbon capture and storage technology, characterized in that: include: Acquire emission source data and storage sink data, wherein the emission source data includes emission source location and emission source emission, and the storage sink data includes storage sink location, storage amount and storage sink injection capacity; Maximizing the total amount of CO2 storage and minimizing the CO2 transport equivalent are used as the objective function of the source-sink matching model, and the constraints on the CO2 transport path of multiple emission sources to multiple storage sinks are constructed; Generate a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solve the source-sink matching model based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink; Visually display the matching results of the emission sources and storage sinks; The objective function of the source-sink matching model is to maximize the total amount of CO2 storage and minimize the CO2 transport equivalent, including: A first objective function that maximizes the total amount of carbon dioxide storage is set, wherein the first objective function includes the following formula: Where T1 is the total amount of carbon dioxide that can be stored through carbon capture and storage technology, ST ij is the storage volume from emission source i to storage sink j; I and J are the collections of emission sources and storage sinks, respectively; X ij is a binary variable. When emission source i and storage sink j are matched successfully, X ij =1, otherwise X ij =0; The objective function of the source-sink matching model is to maximize the total amount of CO2 storage and minimize the CO2 transport equivalent, including: A second objective function of minimizing carbon dioxide transport equivalent is set, wherein the second objective function includes the following formula: Where T2 is the cumulative carbon dioxide transport equivalent; TS ij is the amount of carbon dioxide transported from emission source i to storage sink j; X j * is the weight coefficient. If j is an onshore storage site, then X j * =1, if j is an offshore storage site, then X j * =1.55; D ij is the distance between emission source i and storage sink j; The constraint conditions for constructing a carbon dioxide transport path from multiple emission sources to multiple storage sinks include: In the formula, CAP i is the capture amount of emission source i; EM i is the emission of emission source i; CR is the CO2 capture rate of the emission source; Where D * is the maximum transport distance of carbon dioxide; TS max It is the upper limit of the annual flow rate of carbon dioxide in a single pipeline; Where RT is the operational life of the carbon capture and storage project; SP j is the storage capacity of storage sink j; IC j is the maximum annual injection capacity of the storage sink j; The constraint conditions also include balance conditions and non-negativity constraints, wherein the balance conditions include: In the formula, ST j is the storage capacity of storage sink j; CAP ij is the amount of emission source i stored in storage sink j; TS ij is the CO2 transport from emission source i to storage sink j; ST ij is the storage volume from emission source i to storage sink j; The non-negativity constraints include: The generating of a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solving the source-sink matching model based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink, includes: Taking at least one fixed value as the upper limit of the transportation distance from the emission source location to the storage sink location, to obtain the carbon dioxide transportation simulation scenario; In the carbon dioxide transport simulation scenario, the weighted average carbon dioxide transport distance of each emission source is calculated by the following formula: Where D i is the CO2 transport distance for each emission source i.

2. The source-sink matching method for carbon capture and storage technology according to claim 1, characterized in that: The constraint conditions for constructing a carbon dioxide transport path from multiple emission sources to multiple storage sinks include: Marking the emission source location and the storage sink location in a map system; Obtaining, through the map system, a feasible path between each of the emission sources and the storage sink, and a transportation mode corresponding to each of the feasible paths; Calculate the transportation cost coefficient between each of the emission sources and the storage sink according to the feasible path and the transportation mode; The carbon dioxide transportation distance in the constraint condition is weightedly calculated using the transportation cost coefficient.

3. A source-sink matching system for carbon capture and storage technology, characterized in that: include: A data acquisition module, used to acquire emission source data and storage sink data, wherein the emission source data includes emission source location and emission source emission, and the storage sink data includes storage sink location, storage amount and storage sink injection capacity; Model building module, used to maximize the total amount of CO2 storage and minimize the CO2 transport equivalent as the objective function of the source-sink matching model, and to construct the constraints of the CO2 transport path from multiple emission sources to multiple storage sinks; A model calculation module, used to generate a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solve the source-sink matching model based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink; A visualization module, used for visually displaying the matching results of the emission sources and storage sinks; The objective function of the source-sink matching model is to maximize the total amount of CO2 storage and minimize the CO2 transport equivalent, including: A first objective function that maximizes the total amount of carbon dioxide storage is set, wherein the first objective function includes the following formula: Where T1 is the total amount of carbon dioxide that can be stored through carbon capture and storage technology, ST ij is the storage volume from emission source i to storage sink j; I and J are the collections of emission sources and storage sinks, respectively; X ij is a binary variable. When emission source i and storage sink j are matched successfully, X ij =1, otherwise X ij =0; The objective function of the source-sink matching model is to maximize the total amount of CO2 storage and minimize the CO2 transport equivalent, including: A second objective function of minimizing carbon dioxide transport equivalent is set, wherein the second objective function includes the following formula: Where T2 is the cumulative carbon dioxide transport equivalent; TS ij is the amount of carbon dioxide transported from emission source i to storage sink j; X j * is the weight coefficient. If j is an onshore storage site, then X j * =1, if j is an offshore storage site, then X j * =1.55; D ij is the distance between emission source i and storage sink j; The constraint conditions for constructing a carbon dioxide transport path from multiple emission sources to multiple storage sinks include: In the formula, CAP i is the capture amount of emission source i; EM i is the emission of emission source i; CR is the CO2 capture rate of the emission source; Where D * is the maximum transport distance of carbon dioxide; TS max It is the upper limit of the annual flow rate of carbon dioxide in a single pipeline; Where RT is the operational life of the carbon capture and storage project; SP j is the storage capacity of storage sink j; IC j is the maximum annual injection capacity of the storage sink j; The constraint conditions also include balance conditions and non-negativity constraints, wherein the balance conditions include: In the formula, ST j is the storage capacity of storage sink j; CAP ij is the amount of emission source i stored in storage sink j; TS ij is the CO2 transport from emission source i to storage sink j; ST ij is the storage volume from emission source i to storage sink j; The non-negativity constraints include: The generating of a carbon dioxide transport simulation scenario according to the emission source data and the storage sink data, and solving the source-sink matching model based on the carbon dioxide transport simulation scenario to obtain a matching result of the emission source and the storage sink, includes: Taking at least one fixed value as the upper limit of the transportation distance from the emission source location to the storage sink location, to obtain the carbon dioxide transportation simulation scenario; In the carbon dioxide transport simulation scenario, the weighted average carbon dioxide transport distance of each emission source is calculated by the following formula: Where D i is the CO2 transport distance for each emission source i.

4. A source-sink matching system for carbon capture and storage technology, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a source-sink matching method for carbon capture and storage technology as claimed in any one of claims 1 to 2 is implemented.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the source-sink matching method for carbon capture and storage technology according to any one of claims 1 to 2.

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