CN116629445A - Method and system for optimizing industrial cluster of carbon capture and sequestration technology - Google Patents
Method and system for optimizing industrial cluster of carbon capture and sequestration technology Download PDFInfo
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- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 227
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000005516 engineering process Methods 0.000 title claims abstract description 21
- 230000009919 sequestration Effects 0.000 title claims abstract description 21
- 230000010354 integration Effects 0.000 claims abstract description 20
- XOFYZVNMUHMLCC-ZPOLXVRWSA-N prednisone Chemical compound O=C1C=C[C@]2(C)[C@H]3C(=O)C[C@](C)([C@@](CC4)(O)C(=O)CO)[C@@H]4[C@@H]3CCC2=C1 XOFYZVNMUHMLCC-ZPOLXVRWSA-N 0.000 claims abstract description 15
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- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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Abstract
The application relates to the technical field of carbon emission reduction optimization, in particular to a method and a system for optimizing a carbon capture and sequestration technology industrial cluster. Comprising the following steps: k carbon emission source enterprises are arbitrarily selected from N carbon emission source enterprises, and M selection schemes exist; determining a total effective carbon capture job capacity of the selected carbon emission source enterprise; the method comprises the steps that carbon trapping business integration is carried out on k selected carbon emission source enterprises, and the integrated enterprises are named as clusters; determining the total effective carbon capture operation capacity of the cluster; determining an increment ΔE of the total effective carbon capture operating capacity of the selected k carbon emission source enterprises; among the M schemes, the scheme with the maximum delta E and more than 0 is selected as the optimal carbon emission source enterprise cluster scheme, so that the technical problems that the environment deviation is not considered, the dissipation process is not considered, the cluster scale control is inflexible, and the optimal result is not ideal and has deviation in the prior art are solved.
Description
Technical Field
The application relates to the technical field of carbon emission reduction optimization, in particular to a method and a system for optimizing a carbon capture and sequestration technology industrial cluster.
Background
The carbon capture and sequestration technology is an important means for achieving the aim of carbon emission reduction, and most of the carbon capture and sequestration technology projects currently adopt a full-chain business mode, namely the full process is operated by one oil and gas company. The commercial mode of 'full chain' has the defects of high investment limit, large investment risk and difficult project starting. The future carbon capture and sequestration technology industry will move to a business model of specialized division cooperation, and carbon dioxide can be obtained from different carbon emission source enterprises by arranging a hub, and the carbon dioxide is transported and sequestered by uniformly utilizing the infrastructure of the hub. The construction hub can distribute the construction cost of the infrastructure to each carbon emission source enterprise, a certain scale economic effect is generated, the development of the carbon capture and sequestration technology industry is promoted, and the aim of coping with climate change is fulfilled.
In the process of constructing a carbon capture sequestration technology hub, how to prefer a carbon capture sequestration technology industry cluster is an important technical problem. The prior art has the defects of no consideration of environmental deviation, no consideration of dissipation process and inflexible cluster scale control, so that the preferable result is not ideal and has deviation. Therefore, it is necessary to combine the quantity and quality of the carbon emission reduction operation capability and construct a preferred method and system for the industrial cluster of carbon capture and sequestration technology.
Disclosure of Invention
The technical solution of the application is as follows: the method and the system for optimizing the industrial cluster of the carbon capture and sequestration technology are provided to solve the technical problems that environmental deviation is not considered, dissipation process is not considered, cluster scale control is not flexible, and optimization results are not ideal and have deviation.
In order to achieve the purpose, the application adopts the following technical scheme:
a preferred method for a carbon capture and sequestration technology industry cluster specifically comprises the following steps:
step 1, setting N carbon emission source enterprises in total, and arbitrarily selecting k carbon emission source enterprises from the N carbon emission source enterprises, wherein k is more than or equal to 2 and less than N, and M schemes of the k carbon emission source enterprises are arbitrarily selected from the N carbon emission source enterprises, and N is more than or equal to 3;
step 2, calculating the total effective carbon capturing operation capacity E of k carbon emission source enterprises selected in the step 1 before The calculation formula is as follows:
wherein i=1, 2, …, N, Q i Representing the carbon capture operation capability of the ith carbon emission source enterprise, C i Representing the unit cost of the carbon capture operation of the ith carbon emission source enterprise,representing environmental reference costs for a selected k carbon emissions source enterprise，/>
Step 3, integrating carbon capturing service on the k carbon emission source enterprises selected in the step 1, and naming the integrated enterprises as clusters;
step 4, calculating the total effective carbon capture operation capacity E of the clusters in the step 3 after The calculation formula is as follows:
where C represents the minimum value of unit cost of carbon capture operation for the selected k carbon emission source enterprises, c= { min|c i ,i∈[1,k]}，Environmental reference costs representing clusters, +.>Representing a carbon emission source enterprise that is not clustered;
step 5, calculating the effective carbon capturing operation capacity E of k carbon emission source enterprises according to the obtained step 2 before And the total effective carbon capture operation capacity E of the clusters obtained in the step 4 after The increment delta E of the total effective carbon capture operation capacity of the selected k carbon emission source enterprises is calculated, and the calculation formula is as follows:
ΔE＝E after -E before
selecting a scheme with the maximum delta E and more than 0 among the M schemes in the step 1 as an optimal carbon emission source enterprise cluster scheme; when ΔE is less than or equal to 0, the existing clustering scheme is abandoned.
The system comprises a selection module, a calculation module before integration based on carbon capture service, an integration module, a calculation module after integration based on the carbon capture service, an increment calculation module and a preference module;
the selection module is used for arbitrarily selecting k carbon emission source enterprises from N carbon emission source enterprises, and M schemes for arbitrarily selecting the k carbon emission source enterprises are provided; k is more than or equal to 2 and less than N, and N is more than or equal to 3;
the calculation module before the integration of the carbon capture service is used for calculating the total effective carbon capture operation capacity E of the k carbon emission source enterprises before The calculation formula is as follows:
wherein i=1, 2, …, N, Q i Representing the carbon capture operation capability of the ith carbon emission source enterprise, C i Representing the unit cost of the carbon capture operation of the ith carbon emission source enterprise,representing the environmental reference costs of the selected k carbon emissions source enterprises (i.e.)>)；
The integration module is used for integrating carbon capture business on k selected carbon emission source enterprises, and the integrated enterprises are named as clusters;
the calculation module based on the carbon capture service integration is used for calculating the total effective carbon capture operation capacity E of the cluster after The calculation formula is as follows:
where C represents the minimum value of unit cost of carbon capture operation for the selected k carbon emission source enterprises, c= { min|c i ,i∈[1,k]}，Environmental reference costs representing clusters, +.>Representing a carbon emission source enterprise that is not clustered;
the increment calculating module is used for calculating the increment delta E of the total effective carbon capturing operation capacity of the k selected carbon emission source enterprises, and the calculation formula is as follows:
ΔE＝E after -E before ；
the optimization module is used for selecting a scheme with the maximum delta E and more than 0 in the M schemes as an optimal carbon emission source enterprise cluster scheme; when ΔE is less than or equal to 0, the existing clustering scheme is abandoned.
An electronic device includes a memory and a processor;
the memory is used for storing program codes and data information and transmitting the program codes and the data information to the processor;
the processor is configured to execute a carbon capture sequestration technology industry cluster optimization method of claim 1 according to instructions in the program code.
Optionally, the data information includes a carbon emission source enterprise list, an effective carbon trapping operation capability of the carbon emission source enterprise before the carbon trapping operation is integrated, an effective carbon trapping operation capability of the carbon emission source enterprise after the carbon trapping operation is integrated, an increment of a total effective carbon trapping operation capability of the carbon emission source enterprise, and an optimal carbon emission source enterprise cluster scheme.
Optionally, the data information is stored in the memory in the form of key-value pairs, lists and documents for the subsequent preferred process.
Optionally, the program code is transmitted to the processor in the form of incremental backup, and the data information is transmitted to the processor in the form of batch transmission.
Compared with the prior art, the application has the beneficial effects that:
(1) The accuracy is improved, the environment deviation is considered in the optimization process, the dissipation process is considered, the quantity and quality of the carbon capture operation capacity of a carbon emission source enterprise are comprehensively examined, the optimization result is more reasonable, and the deviation is reduced.
(2) The preference flexibility is increased, corresponding preference results can be flexibly given according to the values of different k, and the cluster scale can be flexibly controlled.
(3) The calculation is simple and quick, repeated operation is reduced, the preferable results under different cluster scales can be given at one time, and the implementation efficiency of the technical scheme is improved.
(4) The application discloses a method and a system for optimizing a carbon capture and sequestration technology industrial cluster, wherein the method comprises the following steps: k carbon emission source enterprises are arbitrarily selected from N carbon emission source enterprises, and M selection schemes exist; determining a total effective carbon capture job capacity of the selected carbon emission source enterprise; the method comprises the steps that carbon trapping business integration is carried out on k selected carbon emission source enterprises, and the integrated enterprises are named as clusters; determining the total effective carbon capture operation capacity of the cluster; determining an increment ΔE of the total effective carbon capture operating capacity of the selected k carbon emission source enterprises; among the M schemes, the scheme with the maximum delta E and more than 0 is selected as the optimal carbon emission source enterprise cluster scheme, so that the technical problems that the environment deviation is not considered, the dissipation process is not considered, the cluster scale control is inflexible, and the optimal result is not ideal and has deviation in the prior art are solved.
Drawings
FIG. 1 is a schematic flow chart of the method of the present application.
Detailed Description
In order to make the present application better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, an embodiment of the present application provides a preferred method for industrial cluster of carbon capture and sequestration technologies, including:
step 1, setting N carbon emission source enterprises in total, and arbitrarily selecting k carbon emission source enterprises from the N carbon emission source enterprises, wherein k is more than or equal to 2 and less than N, and M schemes of the k carbon emission source enterprises are arbitrarily selected from the N carbon emission source enterprises, and N is more than or equal to 3;
step 2, calculating the total effective carbon capturing operation capacity E of k carbon emission source enterprises selected in the step 1 before The calculation formula is as follows:
wherein i=1, 2, …, N, Q i Representing the carbon capture operation capability of the ith carbon emission source enterprise, C i Representing the unit cost of the carbon capture operation of the ith carbon emission source enterprise,environmental reference costs representing the k carbon emissions source enterprises selected, +.>
Step 3, integrating carbon capturing service on the k carbon emission source enterprises selected in the step 1, and naming the integrated enterprises as clusters;
step 4, calculating the total effective carbon capture operation capacity E of the clusters in the step 3 after The calculation formula is as follows:
where C represents the minimum value of unit cost of carbon capture operation for the selected k carbon emission source enterprises, c= { min|c i ,i∈[1,k]}，Environmental reference costs representing clusters, +.>Representing a carbon emission source enterprise that is not clustered;
step 5, calculating the effective carbon capturing operation capacity E of k carbon emission source enterprises according to the obtained step 2 before And the total effective carbon capture operation capacity E of the clusters obtained in the step 4 after The increment delta E of the total effective carbon capture operation capacity of the selected k carbon emission source enterprises is calculated, and the calculation formula is as follows:
ΔE＝E after -E before
selecting a scheme with the maximum delta E and more than 0 among the M schemes in the step 1 as an optimal carbon emission source enterprise cluster scheme; when ΔE is less than or equal to 0, the existing clustering scheme is abandoned.
The system comprises a selection module, a calculation module before integration based on carbon capture service, an integration module, a calculation module after integration based on the carbon capture service, an increment calculation module and a preference module;
the selection module is used for arbitrarily selecting k carbon emission source enterprises from N carbon emission source enterprises, and M schemes for arbitrarily selecting the k carbon emission source enterprises are provided; k is more than or equal to 2 and less than N, and N is more than or equal to 3;
the calculation module before the integration of the carbon capture service is used for calculating the total effective carbon capture operation capacity E of the k carbon emission source enterprises before The calculation formula is as follows:
wherein i=1, 2, …, N, Q i Representing the carbon capture operation capability of the ith carbon emission source enterprise, C i Representing the unit cost of the carbon capture operation of the ith carbon emission source enterprise,representing the environmental reference costs of the selected k carbon emissions source enterprises (i.e.)>)；
The integration module is used for integrating carbon capture business on k selected carbon emission source enterprises, and the integrated enterprises are named as clusters;
the calculation module based on the carbon capture service integration is used for calculating the total effective carbon capture operation capacity E of the cluster after The calculation formula is as follows:
where C represents the minimum value of unit cost of carbon capture operation for the selected k carbon emission source enterprises, c= { min|c i ,i∈[1,k]}，Environmental reference costs representing clusters, +.>Representing a carbon emission source enterprise that is not clustered;
the increment calculating module is used for calculating the increment delta E of the total effective carbon capturing operation capacity of the k selected carbon emission source enterprises, and the calculation formula is as follows:
ΔE＝E after -E before ；
the optimization module is used for selecting a scheme with the maximum delta E and more than 0 in the M schemes as an optimal carbon emission source enterprise cluster scheme; when ΔE is less than or equal to 0, the existing clustering scheme is abandoned.
An electronic device includes a memory and a processor;
the memory is used for storing program codes and data information and transmitting the program codes and the data information to the processor;
the processor is configured to execute a carbon capture sequestration technology industry cluster optimization method of claim 1 according to instructions in the program code.
Optionally, the data information includes a carbon emission source enterprise list, an effective carbon trapping operation capability of the carbon emission source enterprise before the carbon trapping operation is integrated, an effective carbon trapping operation capability of the carbon emission source enterprise after the carbon trapping operation is integrated, an increment of a total effective carbon trapping operation capability of the carbon emission source enterprise, and an optimal carbon emission source enterprise cluster scheme.
Optionally, the data information is stored in the memory in the form of key-value pairs, lists and documents for the subsequent preferred process.
Optionally, the program code is transmitted to the processor in the form of incremental backup, and the data information is transmitted to the processor in the form of batch transmission.
In one specific embodiment, k carbon emission source enterprises are selected from 7 carbon emission source enterprises to integrate carbon trapping business to form 1 cluster. The carbon capture operation capacity of 7 carbon emission source enterprises is respectively 60 ten thousand tons, 20 ten thousand tons, 40 ten thousand tons, 30 ten thousand tons, 50 ten thousand tons, 100 ten thousand tons and 80 ten thousand tons, and the unit cost of the carbon capture operation of the corresponding carbon emission source enterprises is respectively 300 dollars/ton, 250 dollars/ton, 220 dollars/ton, 180 dollars/ton, 150 dollars/ton, 320 dollars/ton and 190 dollars/ton.
A preferred result of the preferred method for the industrial cluster of carbon capture and sequestration technology provided by the embodiment of the application is shown in table 1, wherein the scheme with scheme number of 116 and seven-six enterprises is the optimal scheme of '1, 2,3,5,6, 7', and the optimal result delta E is 34057.91.
Table 1 preferred results table
In summary, the above embodiments are only preferred embodiments of the present application, and are not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (6)
1. The preferred method for the carbon capture and sequestration technology industry cluster is characterized by comprising the following steps:
step 1, setting N carbon emission source enterprises in total, and arbitrarily selecting k carbon emission source enterprises from the N carbon emission source enterprises, wherein k is more than or equal to 2 and less than N, and M schemes of the k carbon emission source enterprises are arbitrarily selected from the N carbon emission source enterprises, and N is more than or equal to 3;
step 2, calculating the total effective carbon capturing operation capacity E of k carbon emission source enterprises selected in the step 1 before The calculation formula is as follows:
wherein i=1, 2, …, N, Q i Representing the carbon capture operation capability of the ith carbon emission source enterprise, C i Representing the unit cost of the carbon capture operation of the ith carbon emission source enterprise,representing environmental reference costs for a selected k carbon emissions source enterprise,
step 3, integrating carbon capturing service on the k carbon emission source enterprises selected in the step 1, and naming the integrated enterprises as clusters;
step 4, calculating the total effective carbon capture operation capacity E of the clusters in the step 3 after The calculation formula is as follows:
where C represents the minimum value of unit cost of carbon capture operation for the selected k carbon emission source enterprises, c= { min|c i ,i∈[1,k]}，Environmental reference costs representing clusters, +.>Representing a carbon emission source enterprise that is not clustered;
step 5, calculating the effective carbon capturing operation capacity E of k carbon emission source enterprises according to the obtained step 2 before And the total effective carbon capture operation capacity E of the clusters obtained in the step 4 after The increment delta E of the total effective carbon capture operation capacity of the selected k carbon emission source enterprises is calculated, and the calculation formula is as follows:
ΔE＝E after -E before
selecting a scheme with the maximum delta E and more than 0 among the M schemes in the step 1 as an optimal carbon emission source enterprise cluster scheme; when ΔE is less than or equal to 0, the existing clustering scheme is abandoned.
2. A preferred system for a carbon capture sequestration technology industry cluster, characterized by:
the system comprises a selection module, a calculation module before integration based on carbon capture service, an integration module, a calculation module after integration based on carbon capture service, an increment calculation module and a preference module;
the selection module is used for arbitrarily selecting k carbon emission source enterprises from N carbon emission source enterprises, and M schemes for arbitrarily selecting the k carbon emission source enterprises are provided; k is more than or equal to 2 and less than N, and N is more than or equal to 3;
the calculation module before the integration of the carbon capture service is used for calculating the k carbon emission sourcesTotal effective carbon capture job capacity E of enterprise before The calculation formula is as follows:
wherein i=1, 2, …, N, Q i Representing the carbon capture operation capability of the ith carbon emission source enterprise, C i Representing the unit cost of the carbon capture operation of the ith carbon emission source enterprise,representing the environmental reference costs of the selected k carbon emissions source enterprises (i.e.)>)；
The integration module is used for integrating carbon capture business on k selected carbon emission source enterprises, and the integrated enterprises are named as clusters;
the calculation module based on the carbon capture service integration is used for calculating the total effective carbon capture operation capacity E of the cluster after The calculation formula is as follows:
where C represents the minimum value of unit cost of carbon capture operation for the selected k carbon emission source enterprises, c= { min|c i ,i∈[1,k]}，Environmental reference costs representing clusters, +.>Representing a carbon emission source enterprise that is not clustered;
the increment calculating module is used for calculating the increment delta E of the total effective carbon capturing operation capacity of the k selected carbon emission source enterprises, and the calculation formula is as follows:
ΔE＝E after -E before ；
the optimization module is used for selecting a scheme with the maximum delta E and more than 0 in the M schemes as an optimal carbon emission source enterprise cluster scheme; when ΔE is less than or equal to 0, the existing clustering scheme is abandoned.
3. An electronic device, characterized in that:
comprises a memory and a processor;
the memory is used for storing program codes and data information and transmitting the program codes and the data information to the processor;
the processor is configured to execute a carbon capture sequestration technology industry cluster optimization method of claim 1 according to instructions in the program code.
4. An electronic device according to claim 3, characterized in that:
the data information comprises a carbon emission source enterprise list, the effective carbon capture operation capacity of the carbon emission source enterprise before the carbon capture operation is integrated, the effective carbon capture operation capacity of the carbon emission source enterprise after the carbon capture operation is integrated, the increment of the total effective carbon capture operation capacity of the carbon emission source enterprise and an optimal carbon emission source enterprise cluster scheme.
5. An electronic device according to claim 3, characterized in that:
the data information is stored in the memory in the form of key-value pairs, lists and documents for the subsequent preferred process.
6. An electronic device according to claim 3, characterized in that:
the program code is transmitted to the processor in the form of incremental backup, and the data information is transmitted to the processor in the form of batch transmission.
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