CN116596413A - Carbon emission source selection method based on carbon capture and sequestration technology of optimal business model - Google Patents
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Abstract
The application relates to a carbon emission source selection method based on a carbon capture and sequestration technology of an optimal commercial mode, and belongs to the technical field of carbon emission source installation point optimization evaluation of carbon capture devices. Determining an effective operating capacity of the carbon emissions source; establishing an objective function to maximize the sum of the effective operating capacities of the selected carbon emissions sources; establishing a constraint condition (1) so that the sum of carbon capturing amounts of the selected carbon emission sources is not smaller than the carbon emission reduction task amount; establishing a constraint condition (2) so that the sum of modification costs of the selected carbon emission sources does not exceed a capital budget; when the constraint condition (1) and the constraint condition (2) are met at the same time, an optimal carbon emission source selection scheme is determined according to an objective function, and the technical problems that the existing carbon emission source is not complete in the optimal index of adding the carbon capture device, the optimal method does not consider the dissipation process, and the optimal result is not ideal and has deviation are solved.
Description
Technical Field
The application relates to a carbon emission source selection method based on a carbon capture and sequestration technology of an optimal commercial mode, and belongs to the technical field of carbon emission source installation point optimization evaluation of carbon capture devices.
Background
In order to cope with climate change, it is necessary to drastically reduce the content of carbon dioxide in the atmosphere. Carbon capture sequestration technology is an important approach to achieve carbon emission reduction goals, and there is a need to explore commercial models suitable for carbon capture sequestration technology. In the commercial model of carbon capture sequestration technology, how to attach carbon capture devices to preferred carbon emission sources is an important step. The existing carbon emission source is provided with a carbon capture device, the preferred index is incomplete, and the preferred method does not consider the dissipation process, so that the preferred result is not ideal and has deviation. Therefore, the fairness of regional development and the quantity and quality of carbon emission reduction in optimization are required to be fully considered, and a method and a system for selecting the carbon emission source based on the carbon capture and sequestration technology of the optimal business model are constructed.
Disclosure of Invention
The technical solution of the application is as follows: the method for selecting the carbon emission source based on the carbon capture and sequestration technology in the optimal commercial mode is provided to solve the technical problems that the optimal result is not ideal and has deviation due to the fact that the optimal index of the existing carbon emission source and the carbon capture device are not complete and the optimal method does not consider the dissipation process.
In order to achieve the purpose, the application adopts the following technical scheme:
a method for selecting a carbon emission source based on a carbon capture sequestration technology of an optimal business model, the method comprising the steps of:
the first step, n carbon emission sources to be selected are provided, and the effective operation capacity E of each carbon emission source is determined according to the carbon capture amount and dissipation coefficient of the carbon emission source i The calculation formula is as follows:
E i ＝Q i [λ i -T 0 (a i +b i +c i +d i )]
wherein i=1, 2,3, …, n, Q i Lambda is the carbon capture amount of the ith carbon emission source i Carbon capture amount for the ith carbon emission source and average carbon capture amount for the candidate carbon emission sourceDeviation coefficient of (i.e->)，T 0 For the policy support dynamics coefficient (the greater the policy support dynamics, T 0 The smaller T 0 ∈(0,1))，a i Representing the dissipation factor of the transport path of the ith carbon emission source (i.e. transport path A of the ith carbon emission source i Average transport distance with carbon emission source to be selected +.>Deviation coefficient of>)，b i Dissipation factor representing the number of workers at the ith carbon emission source(i.e. the number of workers B of the ith carbon emission source) i Average employee count with the carbon emissions source to be selected>Deviation coefficient of>)，c i Dissipation factor indicative of cost per carbon capture retrofit (i.e., cost per carbon capture retrofit for ith carbon emission source C i Unit carbon capture retrofit costs averaged with a carbon emissions source to be selectedDeviation coefficient of>)，d i Dissipation factor representing energy consumption per unit carbon capture (i.e., energy consumption per unit carbon capture D of the ith carbon emission source) i Energy consumption per carbon capture averaged with the carbon emissions source to be selected +.>Deviation coefficient of>)；
Second, establishing an objective function to maximize the sum of the effective operating capacities of the selected carbon emission sources, the objective function being:
wherein x is i Representing a decision variable (x i Taking 1 to select the ith carbon emission source, x i Taking 0 indicates that the ith carbon emission source is not selected);
thirdly, establishing a constraint condition (1), wherein the sum of carbon capturing amounts of the selected carbon emission sources is not smaller than the carbon emission reduction task amount, and the constraint condition (1) is as follows:
wherein alpha is the carbon emission reduction task amount;
establishing a constraint (2) such that the sum of the retrofitting costs of the selected carbon emissions sources does not exceed the funding budget, the constraint (2) being:
wherein, beta is the fund budget;
when constraint (1) and constraint (2) are satisfied simultaneously, determining an optimal carbon emission source selection scheme { x } according to the objective function established in the second step i }。
And adding a carbon capture device at the selected carbon emission source.
The method for determining the transportation path of the ith carbon emission source comprises the following steps:
obtaining road communication information among n carbon emission sources to be selected, and obtaining road communication information among each carbon emission source to be selected and carbon sealing points, wherein 1 carbon sealing point is arranged;
finding the shortest path from the ith carbon emission source to the carbon sequestration point as the transport path A of the ith carbon emission source i ；
A carbon capture and sequestration technology carbon emission source selection system based on an optimal business model comprises an effective operation capacity calculation module, an objective function establishment module, a constraint condition establishment module and a preference module;
the effective working capacity calculation module is used for determining the effective working capacity E of each carbon emission source according to the carbon capture quantity and the dissipation coefficient of the carbon emission source i The calculation formula is as follows:
E i ＝Q i [λ i -T 0 (a i +b i +c i +d i )]
wherein i=1, 2,3, …, n, Q i Lambda is the carbon capture amount of the ith carbon emission source i Carbon capture amount for the ith carbon emission source and average carbon capture amount for the candidate carbon emission sourceDeviation coefficient of (i.e->)，T 0 For the policy support dynamics coefficient (the greater the policy support dynamics, T 0 The smaller T 0 ∈(0,1))，a i Representing the dissipation factor of the transport path of the ith carbon emission source (i.e. transport path A of the ith carbon emission source i Average transport distance with carbon emission source to be selected +.>Deviation coefficient of>)，b i Representing the dissipation factor of the employee of the ith carbon source (i.e., employee B of the ith carbon source i Average employee count with the carbon emissions source to be selected>Deviation coefficient of>)，c i Dissipation factor indicative of cost per carbon capture retrofit (i.e., cost per carbon capture retrofit for ith carbon emission source C i Unit carbon capture retrofit costs averaged with a carbon emissions source to be selectedDeviation coefficient of>)，d i Dissipation factor representing energy consumption per unit carbon capture (i.e., energy consumption per unit carbon capture D of the ith carbon emission source) i Energy consumption per carbon capture averaged with the carbon emissions source to be selected +.>Deviation coefficient of>)；
The objective function establishing module is used for establishing an objective function to maximize the sum of the effective operation capacities of the selected carbon emission sources, wherein the objective function is as follows:
wherein x is i Representing a decision variable (x i Taking 1 to select the ith carbon emission source, x i Taking 0 indicates that the ith carbon emission source is not selected);
the constraint condition establishment module is used for establishing a constraint condition (1), so that the sum of carbon capturing amounts of the selected carbon emission sources is not smaller than the carbon emission reduction task amount, and the constraint condition (1) is as follows:
wherein alpha is the carbon emission reduction task amount;
the constraint establishment module is further configured to establish a constraint (2) such that a sum of modification costs of the selected carbon emission sources does not exceed a capital budget, the constraint (2) being:
wherein, beta is the fund budget;
the optimization module is used for determining the optimal carbon emission source selection scheme { x ] according to the objective function established in the second step when the constraint condition (1) and the constraint condition (2) are simultaneously met i }；
An electronic device includes a processor and a memory;
the memory is used for storing program codes and data information and transmitting the program codes to the processor.
The processor is used for executing the method according to the instructions in the program code;
alternatively to this, the method may comprise,the data information comprises dissipation coefficient index values of the carbon emission sources and optimal selection schemes { x } of the carbon emission sources i }。
Optionally, the data information is stored in the memory in a constellation pattern for a subsequent multi-stage preferred process.
Compared with the prior art, the application has the beneficial effects that:
(1) The accuracy is improved, the optimization index of the carbon emission source additionally provided with the carbon capture device is perfected, the consumption and dissipation amount of the optimization process are considered, the fairness of regional development is fully considered, and the amount and quality of carbon emission reduction in optimization are considered.
(2) The method is simple and quick to calculate, and the overall efficiency of the business model system is improved based on the preference of the dissipation capacity.
(3) The application relates to a method for selecting a carbon emission source by a carbon capture and sequestration technology based on an optimal business model, which comprises the following steps: determining an effective operating capacity of the carbon emissions source; establishing an objective function to maximize the sum of the effective operating capacities of the selected carbon emissions sources; establishing a constraint condition (1) so that the sum of carbon capturing amounts of the selected carbon emission sources is not smaller than the carbon emission reduction task amount; establishing a constraint condition (2) so that the sum of modification costs of the selected carbon emission sources does not exceed a capital budget; when the constraint condition (1) and the constraint condition (2) are met at the same time, an optimal carbon emission source selection scheme is determined according to an objective function, and the technical problems that the existing carbon emission source is not complete in the optimal index of adding the carbon capture device, the optimal method does not consider the dissipation process, and the optimal result is not ideal and has deviation are solved.
Drawings
FIG. 1 is a schematic flow chart of the method of the present application;
fig. 2 is a schematic diagram of road communication information in the process of calculating the transportation path of the carbon emission source.
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, a method for selecting a carbon emission source based on a carbon capture sequestration technology in an optimal business model includes the steps of:
the first step, n carbon emission sources to be selected are provided, and the effective operation capacity E of each carbon emission source is determined according to the carbon capture amount and dissipation coefficient of the carbon emission source i The calculation formula is as follows:
E i ＝Q i [λ i -T 0 (a i +b i +c i +d i )]
wherein i=1, 2,3, …, n, Q i Lambda is the carbon capture amount of the ith carbon emission source i Carbon capture amount for the ith carbon emission source and average carbon capture amount for the candidate carbon emission sourceDeviation coefficient of (i.e->)，T 0 For the policy support dynamics coefficient (the greater the policy support dynamics, T 0 The smaller T 0 ∈(0,1))，a i Representing the dissipation factor of the transport path of the ith carbon emission source (i.e. transport path A of the ith carbon emission source i Average transport distance with carbon emission source to be selected +.>Deviation coefficient of>)，b i Representing the dissipation factor of the employee of the ith carbon source (i.e., employee B of the ith carbon source i Average employee count with the carbon emissions source to be selected>Deviation coefficient of>)，c i Dissipation factor indicative of cost per carbon capture retrofit (i.e., cost per carbon capture retrofit for ith carbon emission source C i Unit carbon capture retrofit costs averaged with a carbon emissions source to be selectedDeviation coefficient of>)，d i Dissipation factor representing energy consumption per unit carbon capture (i.e., energy consumption per unit carbon capture D of the ith carbon emission source) i Energy consumption per carbon capture averaged with the carbon emissions source to be selected +.>Deviation coefficient of>)；
Second, establishing an objective function to maximize the sum of the effective operating capacities of the selected carbon emission sources, the objective function being:
wherein x is i Representing a decision variable (x i Taking 1 to select the ith carbon emission source, x i Taking 0 indicates that the ith carbon emission source is not selected);
thirdly, establishing a constraint condition (1), wherein the sum of carbon capturing amounts of the selected carbon emission sources is not smaller than the carbon emission reduction task amount, and the constraint condition (1) is as follows:
wherein alpha is the carbon emission reduction task amount;
establishing a constraint (2) such that the sum of the retrofitting costs of the selected carbon emissions sources does not exceed the funding budget, the constraint (2) being:
wherein, beta is the fund budget;
when constraint (1) and constraint (2) are satisfied simultaneously, determining an optimal carbon emission source selection scheme { x } according to the objective function established in the second step i }；
And adding a carbon capture device at the selected carbon emission source.
The method for determining the transportation path of the ith carbon emission source comprises the following steps:
obtaining road communication information among n carbon emission sources to be selected, and obtaining road communication information among each carbon emission source to be selected and carbon sealing points, wherein 1 carbon sealing point is arranged;
finding the shortest path from the ith carbon emission source to the carbon sequestration point as the transport path A of the ith carbon emission source i ；
A carbon capture and sequestration technology carbon emission source selection system based on an optimal business model comprises an effective operation capacity calculation module, an objective function establishment module, a constraint condition establishment module and a preference module;
the effective working capacity calculation module is used for determining the effective working capacity E of each carbon emission source according to the carbon capture quantity and the dissipation coefficient of the carbon emission source i The calculation formula is as follows:
E i ＝Q i [λ i -T 0 (a i +b i +c i +d i )]
wherein i=1, 2,3, …, n, Q i Lambda is the carbon capture amount of the ith carbon emission source i Carbon capture amount for the ith carbon emission source and average carbon capture amount for the candidate carbon emission sourceDeviation coefficient of (i.e->)，T 0 For the policy support dynamics coefficient (the greater the policy support dynamics, T 0 The smaller T 0 ∈(0,1))，a i Representing the dissipation factor of the transport path of the ith carbon emission source (i.e. transport path A of the ith carbon emission source i Average transport distance with carbon emission source to be selected +.>Deviation coefficient of>)，b i Representing the dissipation factor of the employee of the ith carbon source (i.e., employee B of the ith carbon source i Average employee count with the carbon emissions source to be selected>Deviation coefficient of>)，c i Dissipation factor indicative of cost per carbon capture retrofit (i.e., cost per carbon capture retrofit for ith carbon emission source C i Unit carbon capture retrofit costs averaged with a carbon emissions source to be selectedDeviation coefficient of>)，d i Dissipation factor representing energy consumption per unit carbon capture (i.e., energy consumption per unit carbon capture D of the ith carbon emission source) i Energy consumption per carbon capture averaged with the carbon emissions source to be selected +.>Deviation coefficient of>)；
The objective function establishing module is used for establishing an objective function to maximize the sum of the effective operation capacities of the selected carbon emission sources, wherein the objective function is as follows:
wherein x is i Representing a decision variable (x i Taking 1 to select the ith carbon emission source, x i Taking 0 indicates that the ith carbon emission source is not selected);
the constraint condition establishment module is used for establishing a constraint condition (1), so that the sum of carbon capturing amounts of the selected carbon emission sources is not smaller than the carbon emission reduction task amount, and the constraint condition (1) is as follows:
wherein alpha is the carbon emission reduction task amount;
the constraint establishment module is further configured to establish a constraint (2) such that a sum of modification costs of the selected carbon emission sources does not exceed a capital budget, the constraint (2) being:
wherein, beta is the fund budget;
the optimization module is used for determining the optimal carbon emission source selection scheme { x ] according to the objective function established in the second step when the constraint condition (1) and the constraint condition (2) are simultaneously met i }；
An electronic device includes a processor and a memory;
the memory is used for storing program codes and data information and transmitting the program codes to the processor.
The processor is used for executing the method according to the instructions in the program code;
optionally, the data information includes dissipation factor index value of the carbon emission source and optimal carbon emission source selection scheme { x } i }。
Optionally, the data information is stored in the memory in a constellation pattern for a subsequent multi-stage preferred process.
In one embodiment, referring to FIG. 2, there are a total of 6 carbon emissions sources to be selected, 1 carbon sequestration site, the links between nodes in FIG. 2 represent connectivity information between nodes, and the numbers next to the links represent the distances between nodes. According to the road communication information between the 6 carbon emission sources to be selected, the road communication information between each carbon emission source to be selected and the carbon sequestration point is as shown in table 1:
TABLE 1 road connectivity information table for candidate carbon emissions sources and carbon sequestration points (unit: hundred kilometers)
And calculating the shortest path from each carbon emission source to the carbon sealing point to be used as the transportation path of the carbon emission source to be selected by using a Dijkstra method. Transportation path calculation results for 6 candidate carbon emission sources are shown in table 2:
TABLE 2 calculation of transport distance for carbon emissions sources to be selected (unit: hundred kilometers)
| Number of carbon emission sources to be selected | 1 | 2 | 3 | 4 | 5 | 6 |
| Transport path | 1.56 | 1.63 | 1.21 | 1.28 | 1.22 | 0.67 |
On this basis, other index value information of 6 carbon emission sources to be selected is collected as shown in table 3:
TABLE 3 index value information of candidate carbon emission sources
When constraint (1) and constraint (2) are satisfied at the same time, the result of the selection scheme of the optimal carbon emission source is determined based on the objective function established in the second step, as shown in table 4. The method not only can finish the carbon emission reduction task amount, but also accords with the fund budget constraint, and the sum of the effective operation capacities is the largest, and the optimal carbon emission source selection scheme is as follows: the total maximum effective capacity is 553.53 tons with { carbon emissions source 1, carbon emissions source 2, carbon emissions source 6 }.
TABLE 4 preferred procedure and results
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 (10)
1. A method for selecting a carbon emission source based on a carbon capture and sequestration technology of an optimal business model is characterized by comprising the following steps:
the first step, setting n carbon emission sources to be selected, and determining the effective operation capacity E of the carbon emission sources i The calculation formula is as follows:
E i ＝Q i [λ i -T 0 (a i +b i +c i +d i )]
wherein i=1, 2,3, …, n, Q i Lambda is the carbon capture amount of the ith carbon emission source i Is the deviation coefficient of the carbon capture amount of the ith carbon emission source and the average carbon capture amount of the carbon emission sources to be selected, T 0 For policy support dynamics coefficient, a i Representing the dissipation factor of the transport path of the ith carbon emission source, b i Dissipation factor representing the number of workers at the ith carbon emission source, c i Dissipation factor, d, representing cost per carbon capture retrofit of the ith carbon emission source i A dissipation factor representing energy consumption per unit carbon capture of the ith carbon emission source;
second, establishing an objective function to maximize the sum of the effective operating capacities of the selected carbon emission sources, the objective function being:
wherein x is i Representing decision variables, x i Taking 1 to select the ith carbon emission source, x i Taking 0 means that the ith carbon emission source is not selected;
thirdly, establishing a constraint condition (1), wherein the sum of carbon capturing amounts of the selected carbon emission sources is not smaller than the carbon emission reduction task amount, and the constraint condition (1) is as follows:
wherein alpha is the carbon emission reduction task amount;
establishing a constraint (2) such that the sum of the retrofitting costs of the selected carbon emissions sources does not exceed the funding budget, the constraint (2) being:
wherein, beta is the fund budget;
when constraint (1) and constraint (2) are satisfied simultaneously, determining an optimal carbon emission source selection scheme { x } according to the objective function established in the second step i }。
2. The method for selecting a carbon emission source based on the carbon capture sequestration technology of the optimal business model according to claim 1, wherein the method comprises the following steps:
in the first step of the process, the first step,Q i carbon capture amount for the ith carbon emission source, +.>The carbon capture is averaged for the candidate carbon emission source.
3. The method for selecting a carbon emission source based on the carbon capture sequestration technology of the optimal business model according to claim 1, wherein the method comprises the following steps:
in the first step of the process, the first step,A i for the transport path of the ith carbon emission source, < > for>And (5) averaging the transportation path for the carbon emission source to be selected.
4. The method for selecting a carbon emission source based on the carbon capture sequestration technology of the optimal business model according to claim 1, wherein the method comprises the following steps:
in the first step of the process, the first step,B i the number of workers for the ith carbon emission source,/->The average number of workers is the carbon emission source to be selected.
5. The method for selecting a carbon emission source based on the carbon capture sequestration technology of the optimal business model according to claim 1, wherein the method comprises the following steps:
in the first step of the process, the first step,C i cost of retrofitting per unit carbon capture of the ith carbon emission source, < >>The cost is modified for the average unit carbon capture of the carbon emissions source to be selected.
6. The method for selecting a carbon emission source based on the carbon capture sequestration technology of the optimal business model according to claim 1, wherein the method comprises the following steps:
in the first step of the process, the first step,D i energy consumption per carbon capture for the ith carbon emission source, +.>Average energy consumption per carbon capture for the carbon emissions source to be selected.
7. The method for selecting a carbon emission source based on the carbon capture sequestration technology of the optimal business model according to claim 1, wherein the method comprises the following steps:
and adding a carbon capture device at the selected carbon emission source.
8. The method for selecting a carbon emission source based on the carbon capture sequestration technology of the optimal business model according to claim 1, wherein the method comprises the following steps:
the method for determining the transportation path of the ith carbon emission source comprises the following steps:
obtaining road communication information among n carbon emission sources to be selected, and obtaining road communication information among each carbon emission source to be selected and carbon sealing points, wherein 1 carbon sealing point is arranged;
finding the shortest path from the ith carbon emission source to the carbon sequestration point as the transport path A of the ith carbon emission source i 。
9. A carbon emission source selecting system based on a carbon capture and sequestration technology of an optimal business model is characterized by comprising an effective operation capacity calculating module, an objective function establishing module, a constraint condition establishing module and a optimizing module;
the effective working capacity calculation module is used for determining the effective working capacity E of each carbon emission source according to the carbon capture quantity and the dissipation coefficient of the carbon emission source i The calculation formula is as follows:
E i ＝Q i [λ i -T 0 (a i +b i +c i +d i )]
wherein i=1, 2,3, …, n, Q i Lambda is the carbon capture amount of the ith carbon emission source i Carbon capture amount for the ith carbon emission source and average carbon capture amount for the candidate carbon emission sourceDeviation coefficient of>Q i Carbon capture amount for the ith carbon emission source, +.>Average carbon capture for candidate carbon emission source, T 0 For policy support dynamics coefficient, a i Dissipation factor representing the transport path of the ith carbon emission source, +.>A i For the transport path of the ith carbon emission source, < > for>Average transport distance for carbon emission source to be selected, b i Dissipation factor of employee count representing ith carbon emission source, +.>B i The number of workers for the ith carbon emission source,/->C, averaging the number of workers for the carbon emission source to be selected i The dissipation factor representing the cost of retrofitting per unit carbon capture,C i cost of retrofitting per unit carbon capture of the ith carbon emission source, < >>Retrofitting costs for average carbon capture per carbon emission source to be selected, d i Dissipation factor representing energy consumption per carbon capture, +.>D i Energy consumption per carbon capture for the ith carbon emission source, +.>Average unit carbon capture energy consumption of the carbon emission source to be selected;
the objective function establishing module is used for establishing an objective function to maximize the sum of the effective operation capacities of the selected carbon emission sources, wherein the objective function is as follows:
wherein x is i Representing decision variables, x i Taking 1 to select the ith carbon emission source, x i Taking 0 means that the ith carbon emission source is not selected;
the constraint condition establishment module is used for establishing a constraint condition (1), so that the sum of carbon capturing amounts of the selected carbon emission sources is not smaller than the carbon emission reduction task amount, and the constraint condition (1) is as follows:
wherein alpha is the carbon emission reduction task amount;
the constraint establishment module is further configured to establish a constraint (2) such that a sum of modification costs of the selected carbon emission sources does not exceed a capital budget, the constraint (2) being:
wherein, beta is the fund budget;
the optimization module is used for determining the optimal carbon emission source selection scheme { x ] according to the objective function established in the second step when the constraint condition (1) and the constraint condition (2) are simultaneously met i }。
10. An electronic device, characterized in that:
including a processor and a memory;
the memory is used for storing program codes and data information and transmitting the program codes to the processor.
The processor is used for executing the method according to the instructions in the program code;
the data information comprises dissipation coefficient index values of the carbon emission sources and optimal selection schemes { x } of the carbon emission sources i }；
The data information is stored in the memory in a constellation pattern.
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| CN116188221A (en) * | 2021-11-29 | 2023-05-30 | 新奥数能科技有限公司 | Carbon emission reduction scheme recommendation method and device, electronic equipment and storage medium |
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