CCUS technology selection method and device, terminal equipment and storage medium

Abstract

The invention discloses a CCUS technology selection method and device, terminal equipment and a storage medium. The method comprises the steps that a plurality of carbon dioxide capture technologies to be selected, first primary index parameters of the carbon dioxide capture technologies to be selected and parameter values of first secondary indexes under the first primary index parameters are obtained; wherein the first primary index parameter comprises a first low-carbon characteristic index; the first secondary index corresponding to the first low-carbon characteristic index comprises energy consumption, additional energy loss and gas treatment energy consumption; for each carbon dioxide capture technology to be selected, calculating the index weight of each first and second-level index and the index weight of each first and first-level index parameter through an analytic hierarchy process and the parameter value of each first and second-level index; according to the weight of each first primary index parameter, calculating a comprehensive capture score of each to-be-selected carbon dioxide capture technology; and taking the to-be-selected carbon dioxide capture technology with the highest comprehensive capture score as the carbon dioxide capture technology of the CCUS technology.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon capture, utilization and storage, and in particular to a method, device, terminal equipment and storage medium for selecting CCUS technology. Background Art

[0002] CCUS technology, namely Carbon Capture, Utilization and Storage technology, refers to the industrial process of separating CO2 from the atmosphere in carbon utilization processes such as energy, industry, and biomass, and directly utilizing or injecting it into the formation to achieve CO2 emission reduction. Existing carbon capture technologies mainly include: MEA-based absorption method (CC01-MEAbased Absorption Method, CC01-MEA), composite amine absorption method (CC02-Composite Amine Absorption Method, CC02-CA), phase change absorption method (CC03-Phase Change Absorption, CC03-PCA), etc. When implementing CCUS technology, it is necessary to select suitable carbon capture technology. The existing technology has not yet selected the best technology from a variety of carbon capture technologies for the implementation of CCUS technology. Low-carbon characteristics are a major consideration when selecting carbon capture technology. Therefore, a selection method based on low-carbon characteristics is urgently needed to make up for the gaps in existing technologies and improve the carbon neutralization effect of CCUS technology. Summary of the invention

[0003] The embodiment of the present invention provides a CCUS technology selection method, device, terminal device and storage medium, which can effectively solve the existing technology

[0004] An embodiment of the present invention provides a method for selecting a CCUS technology, including:

[0005] Obtaining a number of carbon dioxide capture technologies to be selected, first-level indicator parameters of each carbon dioxide capture technology to be selected, and parameter values ​​of first-level indicators under each first-level indicator parameter of each carbon dioxide capture technology to be selected; wherein the first-level indicator parameter includes a first low-carbon characteristic indicator; the first-level indicators corresponding to the first low-carbon characteristic indicator include energy consumption, additional energy loss, and gas processing energy consumption;

[0006] For each carbon dioxide capture technology to be selected, the indicator weights of the first and second level indicators are calculated by using the analytic hierarchy process and the parameter values ​​of the first and second level indicators;

[0007] According to the indicator weights of the first and second level indicators, calculate the indicator weights of the first and second level indicator parameters;

[0008] Calculate the comprehensive capture score of each carbon dioxide capture technology to be selected based on the weight of each first-level indicator parameter;

[0009] The selected CO2 capture technology with the highest comprehensive capture score will be used as the CO2 capture technology selected in CCUS technology.

[0010] Furthermore, it also includes:

[0011] Obtaining a number of carbon dioxide utilization technologies to be selected, second-level indicator parameters of each carbon dioxide utilization technology to be selected, and parameter values ​​of second-level indicators under each second-level indicator parameter of each carbon dioxide utilization technology to be selected; wherein the second-level indicator parameter includes a second low-carbon characteristic indicator; the first-level indicators corresponding to the second low-carbon characteristic indicator include: unit energy consumption of carbon utilization technology, carbon dioxide consumption, raw material substitution emission reduction intensity, and comprehensive emission reduction;

[0012] Calculate the indicator weight of each second-level indicator through the analytic hierarchy process and the parameter value of each second-level indicator;

[0013] According to the indicator weights of each second-level indicator, calculate the indicator weights of each second-level indicator parameter;

[0014] Calculate the comprehensive utilization score of each carbon dioxide utilization technology to be selected according to the indicator weight of each second-level indicator parameter;

[0015] The selected carbon dioxide utilization technology with the highest comprehensive utilization score will be used as the carbon dioxide utilization technology selected in CCUS technology.

[0016] Furthermore, the first level index parameter also includes: a first economic characteristic index, a first technical characteristic index and a safety characteristic index;

[0017] The first and second level indicators corresponding to the first technical characteristic indicators include: technology maturity, technology applicability and impact on the original process;

[0018] The first and second level indicators corresponding to the first economic characteristic indicator include: construction cost and maintenance cost;

[0019] The first and second level indicators corresponding to the safety characteristic indicators include: environmental safety and operational safety.

[0020] Furthermore, the second first-level index parameters also include: a second technical characteristic index and a second economic characteristic index;

[0021] The second secondary indicators corresponding to the second technical characteristic indicators include: technology maturity and technology promotion difficulty;

[0022] The second secondary indicators corresponding to the second economic characteristic indicators include: consumption cost and benefit.

[0023] Based on the above method embodiment, the present invention provides a corresponding device embodiment;

[0024] An embodiment of the present invention provides a CCUS technology selection device, including: a first indicator selection module, a first indicator weight calculation module, a first scoring module and a carbon capture technology selection module;

[0025] The first indicator selection module is used to obtain a number of carbon dioxide capture technologies to be selected, the first level indicator parameters of each carbon dioxide capture technology to be selected, and the parameter values ​​of the first level indicators under each first level indicator parameter of each carbon dioxide capture technology to be selected; wherein the first level indicator parameters include a first low-carbon characteristic indicator; the first level indicators corresponding to the first low-carbon characteristic indicator include energy consumption, additional energy loss and gas processing energy consumption;

[0026] The first indicator weight calculation module is used to calculate the indicator weight of each first and second-level indicator for each carbon dioxide capture technology to be selected by using the hierarchical analysis method and the parameter values ​​of each first and second-level indicator; and calculate the indicator weight of each first and second-level indicator parameter according to the indicator weight of each first and second-level indicator;

[0027] The first scoring module is used to calculate the comprehensive capture score of each carbon dioxide capture technology to be selected according to the weight of each first-level indicator parameter;

[0028] The carbon capture technology selection module is used to select the carbon dioxide capture technology with the highest comprehensive capture score as the carbon dioxide capture technology selected in the CCUS technology.

[0029] Furthermore, it also includes: a second indicator selection module, a second indicator weight calculation module, a second scoring module and a carbon utilization technology selection module;

[0030] The second indicator selection module is used to obtain a number of carbon dioxide utilization technologies to be selected, the second first-level indicator parameters of each carbon dioxide utilization technology to be selected, and the parameter value of the second second-level indicator under each second first-level indicator parameter of each carbon dioxide utilization technology to be selected; wherein the second first-level indicator parameter includes a second low-carbon characteristic indicator; the first and second level indicators corresponding to the second low-carbon characteristic indicator include: unit energy consumption of carbon utilization technology, carbon dioxide consumption, raw material substitution emission reduction intensity and comprehensive emission reduction;

[0031] The second indicator weight calculation module is used to calculate the indicator weight of each second-level indicator through the hierarchical analysis method and the parameter value of each second-level indicator; according to the indicator weight of each second-level indicator, calculate the indicator weight of each second-level indicator parameter;

[0032] The second scoring module is used to calculate the comprehensive utilization score of each carbon dioxide utilization technology to be selected according to the indicator weight of each second first-level indicator parameter;

[0033] The carbon utilization technology selection module is used to select the selected carbon dioxide utilization technology with the highest comprehensive utilization score as the carbon dioxide utilization technology selected in the CCUS technology.

[0034] Furthermore, the first level index parameter also includes: a first economic characteristic index, a first technical characteristic index and a safety characteristic index;

[0035] The first and second level indicators corresponding to the first technical characteristic indicators include: technology maturity, technology applicability and impact on the original process;

[0036] The first and second level indicators corresponding to the first economic characteristic indicator include: construction cost and maintenance cost;

[0037] The first and second level indicators corresponding to the safety characteristic indicators include: environmental safety and operational safety.

[0038] Furthermore, the second first-level index parameters also include: a second technical characteristic index and a second economic characteristic index;

[0039] The second secondary indicators corresponding to the second technical characteristic indicators include: technology maturity and technology promotion difficulty;

[0040] The second secondary indicators corresponding to the second economic characteristic indicators include: consumption cost and benefit.

[0041] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements a method for selecting a CCUS technology described in the above-mentioned embodiment of the invention when executing the computer program.

[0042] Another embodiment of the present invention provides a storage medium, wherein the storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute a method for selecting a CCUS technology as described in the above-mentioned embodiment of the invention.

[0043] The following beneficial effects are achieved by implementing the present invention:

[0044] The present invention provides a method, device, terminal equipment and storage medium for selecting CCUS technology. The method obtains a number of carbon dioxide capture technologies to be selected, the first level indicator parameters of each carbon dioxide capture technology to be selected and the parameter values ​​of the first and second level indicators under each first level indicator parameter of each carbon dioxide capture technology to be selected; the first level indicator parameter mainly obtained is the first low-carbon characteristic indicator, and the corresponding first and second level indicators include energy consumption, additional energy loss and gas processing energy consumption; each carbon dioxide capture technology to be selected is scored by introducing the first low-carbon characteristic indicator, and the carbon dioxide capture technology to be selected with the highest score is selected as the carbon dioxide capture technology selected in the CCUS technology, thereby ensuring that the low-carbon capture effect can be achieved in the carbon capture stage when the CCUS technology is implemented, and improving the carbon neutrality effect of the CCUS technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 The figure is a flow chart of a method for selecting a CCUS technology provided by an embodiment of the present invention.

[0046] Figure 2 It is an indicator for comprehensive evaluation of the carbon dioxide capture technology provided by an embodiment of the present invention.

[0047] Figure 3 is the E of the carbon capture technology provided by an embodiment of the present invention in terms of various characteristic indicators. i + value.

[0048] Figure 4 It is a schematic diagram of the CC-indicator weight change provided by an embodiment of the present invention.

[0049] Figure 5 is the E of various carbon capture technologies in different years provided by an embodiment of the present invention i + Schematic diagram of value changes.

[0050] Figure 6 It is an indicator for comprehensive evaluation of carbon dioxide utilization technology provided by an embodiment of the present invention.

[0051] Figure 7 The carbon utilization technology provided by an embodiment of the present invention has the following characteristics: i + value.

[0052] Figure 8 It is a schematic diagram of CCU indicator weight change provided by an embodiment of the present invention.

[0053] Fig. 9 E of various carbon utilization technologies in different years provided by an embodiment of the present invention i + Schematic diagram of value changes.

[0054] Fig.10 It is a structural schematic diagram of a CCUS technology selection device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] 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.

[0056] like Figure 1 FIG. 1 is a method for selecting a CCUS technology provided by an embodiment of the present invention, comprising:

[0057] Step S1: obtaining a number of carbon dioxide capture technologies to be selected, first-level indicator parameters of each carbon dioxide capture technology to be selected, and parameter values ​​of first-level indicators under each first-level indicator parameter of each carbon dioxide capture technology to be selected; wherein the first-level indicator parameter includes a first low-carbon characteristic indicator; the first-level indicators corresponding to the first low-carbon characteristic indicator include energy consumption, additional energy loss, and gas processing energy consumption;

[0058] Step S2: for each carbon dioxide capture technology to be selected, the indicator weights of the first and second level indicators are calculated by using the analytic hierarchy process and the parameter values ​​of the first and second level indicators;

[0059] Step S3: Calculate the indicator weight of each first-level indicator parameter according to the indicator weight of each first-level and second-level indicator;

[0060] Step S4: Calculate the comprehensive capture score of each carbon dioxide capture technology to be selected according to the weight of each first-level indicator parameter;

[0061] Step S5: The selected carbon dioxide capture technology with the highest comprehensive capture score is used as the carbon dioxide capture technology selected in CCUS technology.

[0062] For step S1, obtain several carbon dioxide capture technologies to be selected. In this embodiment, the carbon dioxide capture technologies to be selected include MEA-based absorption method (CC01-MEA based Absorption Method, CC01-MEA), composite amine absorption method (CC02-Composite Amine Absorption Method, CC02-CA), phase change absorption method (CC03-PhaseChange Absorption, CC03-PCA), temperature swing adsorption method (CC04-Temperature Swing Adsorption, CC04-TSA), pressure swing adsorption method (CC05-Pressure Swing Adsorption, CC05-PSA) and calcium loop method (CC06-Calcium Looping, CC06-CaL). For each carbon dioxide capture technology to be selected, obtain the corresponding first-level index parameter and the first-level and second-level index parameters under each first-level index parameter. The first-level index parameter includes a first low-carbon characteristic index; the first-level and second-level indicators corresponding to the first low-carbon characteristic index include energy consumption, additional energy loss and gas treatment energy consumption.

[0063] In a preferred embodiment, the first first-level indicator parameters also include: a first economic characteristic indicator, a first technical characteristic indicator and a safety characteristic indicator; the first and second-level indicators corresponding to the first technical characteristic indicator include: technology maturity, technology applicability and impact on the original process; the first and second-level indicators corresponding to the first economic characteristic indicator include: construction cost and maintenance cost; the first and second-level indicators corresponding to the safety characteristic indicator include: environmental safety and operational safety.

[0064] Specifically, Figure 2 As shown, the indicators for comprehensive evaluation of carbon dioxide capture technology provided by the present invention include the first level indicator: the first technical characteristic indicator, the first low-carbon characteristic indicator, the first economic characteristic indicator and the safety characteristic indicator; the first level indicator corresponding to the first technical characteristic indicator includes: the technical maturity indicator for the applicable maturity classification of a certain carbon capture technology, the technical applicability index for the universal applicability evaluation of a certain carbon capture technology in different emission industries (i.e. Figure 2 The industry universal index) is used to evaluate the impact of a certain carbon capture technology on the original equipment and process when it is applied. Figure 2The first and second level indicators corresponding to the first low-carbon characteristic indicator include: an energy consumption indicator for evaluating the energy consumption required for carbon capture technology to separate a certain amount of carbon dioxide (i.e. Figure 2 The additional energy consumption index (i.e., the energy consumption index of the medium technology) is used to evaluate the additional energy loss caused by the difficulty in recovering the excess pressure and waste heat in a certain carbon capture technology process. Figure 2 The energy consumption index is used to evaluate the additional energy consumption required to upgrade the product gas obtained by a carbon capture technology to meet downstream demand (i.e. Figure 2 The first and second level indicators corresponding to the first economic characteristic indicator include: a comprehensive cost indicator for evaluating the comprehensive cost of investment, construction, operation and maintenance of a carbon capture technology, and the comprehensive cost indicator is jointly determined by the construction cost and the maintenance cost. The first and second level indicators corresponding to the safety characteristic indicator include: an environmental safety indicator for evaluating the potential impact of the implementation of a carbon capture technology on the ecological environment, and an operational safety indicator for evaluating the traditional safety characteristics of a carbon capture technology in operation.

[0065] For steps S2-S5, before calculation, the analytic hierarchy process evaluation model and the TOPSIS evaluation model are first established.

[0066] It should be noted that the AHP evaluation model mainly decomposes the problem into sub-problems of different levels and connotations according to the nature of the problem, forming an orderly multi-layer framework structure, aiming to analyze and solve the problem more simply and easily. The AHP method uses the pairwise comparison method to determine the importance of each indicator at the corresponding level, and uses the nine-scale scoring method to convert the pairwise comparison results into quantitative values, and establishes the judgment matrix C = (c ij ) m*m .

[0067] Using the square root method, first calculate the mth root of the product of each row of the judgment matrix C to obtain an m-dimensional vector, and then normalize the vector to obtain the weight vector W = (w i ) m*1 , the specific calculation is shown in formula (1) and formula (2):

[0068]

[0069]

[0070] The maximum eigenvalue λ is calculated by the following formula (3): max :

[0071]

[0072] Finally, the consistency ratio CR is used to test the logical consistency of the judgment matrix C. The calculation formula is shown in the following formulas (4) and (5).

[0073]

[0074] Where m represents the order of the judgment matrix, and RI represents the random consistency test index. If CR<0.1, it means that the judgment matrix satisfies logical consistency; if CR>0.1, it means that the judgment matrix does not satisfy logical consistency.

[0075] For the TOPSIS evaluation model, the model mainly calculates the distance between each selected solution and the ideal solution, compares multiple solutions in the group, and obtains the solution ranking. In the TOPSIS model, the evaluation indicators include positive indicators and negative indicators. The larger the value of the positive indicator, the better, while the smaller the negative indicator, the better. In order to ensure the same presentation method, the negative indicator values ​​in the processed data need to be positively processed. The positive processing formula is shown in formula (6):

[0076] X=Q max -Q n (6)

[0077] Among them, X is the result of positive processing of negative indicators, Q max is the corresponding maximum value among all indicators.

[0078] For example, suppose there is a case set A = (A1, A2, ..., A m ) and the index set X=(X1,X2,…,X n ), the evaluation index of the corresponding case is recorded as X ij =(i=1,2,…,m; j=1,2,…,n),X ij is the jth evaluation index in the i-th case.

[0079] Furthermore, the initial judgment matrix A is established based on the results of the indicator positive processing:

[0080]

[0081] In order to ensure the objectivity and accuracy of the evaluation process, a standardized processing method is used to convert data, eliminate qualitative and quantitative dimensional differences, and finally form a standardized decision matrix B:

[0082]

[0083] The weight values ​​of each indicator obtained by combining the hierarchical analysis method i, perform weighted processing on the standardized decision matrix B, and obtain the weighted standardized matrix M after processing:

[0084]

[0085] To calculate the progress of the evaluation object to the ideal solution, first find the positive ideal solution and the negative ideal solution:

[0086]

[0087] in, is the set of positive ideal solutions, is the set of negative ideal solutions.

[0088] The Euclidean distance is used to calculate the distance from each evaluation object to the positive and negative ideal solutions. and

[0089]

[0090] in, They are and The corresponding elements in .

[0091] Calculate the closeness between the evaluation object and the ideal solution

[0092]

[0093] in, It is an indicator to measure the relative distance between the evaluation object and the positive ideal solution and the negative ideal solution. when When the value is close to 1, it means that the evaluation object is closer to the positive ideal solution, that is, it performs better in the evaluation system; When the value approaches 0, it indicates that the evaluation object is closer to the negative ideal solution and its performance is relatively poor.

[0094] In the evaluation and selection of carbon dioxide capture technology, the hierarchical analysis method combined with TOPSIS is used for modeling, which can evaluate the influencing factors at different levels and ultimately select the most applicable technical solution for application in CCUS technology.

[0095] For each carbon dioxide capture technology to be selected, the indicator weights of the first and second level indicators are obtained by the above formulas (1)-(3), and then the indicator weights of the first and second level indicator parameters are calculated according to the indicator weights of the first and second level indicators. Preferably, after calculating the weights of each indicator, the weights of each indicator need to be tested by formulas (4) and (5) so that the indicator weight results meet the requirements of consistency test.

[0096] Furthermore, according to the above formulas (6)-(13), single characteristic evaluations were performed on MEA based absorption method (CC01-MEA based Absorption Method, CC01-MEA), composite amine absorption method (CC02-CA), phase change absorption method (CC03-PCA), temperature swing adsorption method (CC04-TSA), pressure swing adsorption method (CC05-PSA) and calcium loop method (CC06-CaL), and the closeness of each carbon dioxide capture technology to be selected was obtained respectively. The value of Figure 3 shown.

[0097] At the low-carbon level (i.e. corresponding to the first low-carbon characteristic indicator level mentioned above), CC03-PCA (0.6502)>CC02-CA (0.5968)>CC06-CaL (0.4589)>CC04-TSA (0.4061)>CC05-PSA (0.2199)>CC01-MEA (0.2100); among them, CC03-PCA has the lowest technical energy consumption of only 2.3 GJ / tCO2, which is in a leading position at the low-carbon level. Therefore, under the premise of excluding interference from other factors, when only considering low-carbon factors, CC03-PCA is preferentially selected as the carbon capture technology selected in CCUS technology among the six carbon dioxide capture technologies to be selected, so as to improve the carbon neutrality effect of CCUS.

[0098] Preferably, the selection results are further optimized after a comprehensive evaluation is conducted in combination with the technical level, safety level and economic level. When conducting a comprehensive evaluation in combination with the technical level, safety level and economic level, since low-carbon characteristics are the main considerations for carbon dioxide conversion and utilization technology at this stage, the weight of the low-carbon level indicator is 0.50, followed by technical characteristics (0.25), economic characteristics (0.125) and safety characteristics (0.125). At the technical level (corresponding to the first technical characteristic indicator level mentioned above), CC02-CA (0.6824)>CC04-TSA (0.5836)>CC05-PSA (0.5719)>CC03-PCA (0.5685)>CC06-CaL (0.5048)>CC01-MEA (0.1849); Among them, CC02-CA will not have a significant impact on the fuel combustion process and the existing process flow during operation. Its technical maturity is at the industrial demonstration stage and has been widely used in the power, steel, cement and other industries. Therefore, CC02-CA is in a leading position at the technical level. At the economic level (corresponding to the first economic characteristic index level), CC02-CA (1.0000) > CC06-CaL (0.7273) > CC05-PSA (0.6773) > CC01-MEA (0.5000) > CC03-PCA (0.0500) > CC04-TSA (0.0000); among them, it can be seen that CC02-CA has the lowest comprehensive cost and performs well at the economic level. At the safety level (corresponding to the safety characteristic index level), CC04-TSA (1.0000) > CC05-PSA (0.8757) > CC03-PCA (0.6025) > CC06-CaL (0.4813) > CC02-CA (0.3473) > CC01-MEA (0.1243); among them, CC04-TSA has a higher degree of closeness and a low degree of environmental impact.

[0099] The six CO2 capture technologies to be selected The values ​​are: CC02-CA (0.6512) > CC03-PCA (0.5677) > CC06-CaL (0.5039) > CC04-TSA (0.3722) > CC05-PSA (0.3305) > CC01-MEA (0.2733). Overall, CC02-CA has the highest comprehensive evaluation score and has good promotion capabilities at this stage. From the evaluation of the single characteristics of the technology, it can be seen that the technology scores higher than the other five technologies in technical and economic characteristics, and is slightly lower than other technologies in terms of low carbon and safety characteristics. Therefore, in order to build a CO2 capture technology with high absorption capacity, low cost and sustainable recycling, it is urgent to further improve its adsorbent absorbent performance.

[0100] It should be added that with the adjustment of energy and industrial structure, the influence of various indicators on the comprehensive evaluation of CO2 capture technology is constantly changing. Therefore, the above indicator weight establishment method is continued to be used to establish the CO2 capture technology comprehensive evaluation indicator weight (CC-indicator weight) that changes with the year. Figure 4 As shown in the figure, with the continuous development of renewable energy and electrification technology of low-temperature heat sources for industrial processes, the impact of energy consumption indicators on CO2 capture technology will be significantly reduced. With the continuous advancement of related research and development and demonstration work, the maturity of various CO2 capture technologies will gradually increase, and the penetration of corresponding application scenarios will continue to grow. The impact of competitiveness and industry universality indicators on CO2 capture technology will gradually expand. It is expected that between 2035 and 2060, comprehensive cost will become one of the important factors in technology evaluation. At the same time, the importance of environmental safety and operational safety will gradually become prominent. Taking 2025 as the current assessment year and 2030, 2035, 2050 and 2060 as future assessment years, calculate the E of various CO2 capture technologies in 2030, 2035, 2050 and 2060. i + The calculation result is as follows Figure 5As shown in the figure, it can be seen that CC02-CA will have a sustainable advantage in the future, which is mainly related to its leading maturity and promotion, easy large-scale, and good compatibility with various emission sources. On the other hand, in recent years, relevant research institutions have continuously explored feasible paths to further reduce the energy consumption of composite amine carbon capture technology around high-performance absorbents, energy integration innovation, and low-carbon energy intervention. It is expected that the cost of this technology will still have a certain room for decline in the future. CC03-PCA is expected to be initially applied in the near and medium term due to its low energy consumption, but with the reduction of direct emission sources in the future, the process complexity of the phase change absorption process will affect its competitiveness, so the application potential of this technology in the long term may be relatively limited. CC05-PSA is essentially a physical change process with high maturity and environmental friendliness. The main reason for its limited application at this stage is that its operating window does not match most emission sources, resulting in excessive energy consumption for CO2 capture. As my country's new power system based on renewable energy gradually matures, CC05-PSA technology with electricity consumption as the main energy supply method is expected to accelerate promotion and occupy a leading position after 2035. CC06-CaL is a special technology, with the outstanding feature of strong process energy integration and natural connection with the building materials industry. Therefore, its overall development trend is relatively stable. It is expected that with the continuous development of future industrial process electrification and low-carbon building materials preparation technology, the application scenarios of calcium cycle method will increase first and then decrease. Among all CO2 capture technologies, its application potential is in the middle. Compared with CC05-PSA, CC04-TSA has the advantages of high adsorption selectivity and suitability for low-concentration emission sources, but there are still difficulties in large-scale process. If there is no major breakthrough in technology, its future application scenarios are relatively limited. CC01-MEA is the most traditional carbon capture method, but it has high energy consumption and significant environmental footprint. It has been replaced by CC02-CA and is not competitive. Based on the above analysis results, it is expected that CC05-PSA, CC02-CA and CC06-CaL will be widely used in the future CO2 capture market, while CC03-PCA and CC04-TSA are limited in application, and CC01-MEA-based absorption method will be gradually eliminated in the application market due to new technology replacement.

[0101] By estimating the development direction of each carbon dioxide capture technology to be selected, it is easier to select and update the carbon capture technology used in CCUS technology, so that the carbon capture effect and technology update can be guaranteed when CCUS technology is implemented.

[0102] In a preferred embodiment, it also includes: obtaining a number of carbon dioxide utilization technologies to be selected, the second-level indicator parameters of each carbon dioxide utilization technology to be selected, and the parameter values ​​of the second-level indicators under each second-level indicator parameter of each carbon dioxide utilization technology to be selected; wherein, the second-level indicator parameter includes a second low-carbon characteristic indicator; the first-level indicators corresponding to the second low-carbon characteristic indicator include: unit energy consumption of carbon utilization technology, carbon dioxide consumption, raw material substitution emission reduction intensity and comprehensive emission reduction; calculating the indicator weight of each second-level indicator through the hierarchical analysis method and the parameter values ​​of each second-level indicator; calculating the indicator weight of each second-level indicator parameter according to the indicator weight of each second-level indicator; calculating the comprehensive utilization score of each carbon dioxide utilization technology to be selected according to the indicator weight of each second-level indicator parameter; and using the carbon dioxide utilization technology to be selected with the highest comprehensive utilization score as the carbon dioxide utilization technology selected in the CCUS technology.

[0103] In another preferred embodiment, the second first-level indicator parameters also include: a second technical characteristic indicator and a second economic characteristic indicator; the second second-level indicators corresponding to the second technical characteristic indicator include: technology maturity and technology promotion difficulty; the second second-level indicators corresponding to the second economic characteristic indicator include: consumption cost and benefit.

[0104] Specifically, the carbon utilization technology in CCUS technology is selected. First, obtain several carbon dioxide utilization technologies to be selected. In this embodiment, the carbon dioxide utilization technologies to be selected include CO2 methane reforming to prepare synthesis gas technology (CCU01-Dry reforming of methane, CCU01-DRM), CO2 hydrogenation to prepare methanol technology (CCU02-CO2hydrogenation to methanol, CCU02-CH3OH), CO2 photoelectrocatalytic conversion technology (CCU03-Photoelectrocatalytic Reduction, CCU03-PEC), CO2 synthesis of organic carbonate (CCU04-Organiccarbonate, CCU04-OC), CO2 slag mineralization and utilization technology (CCU05-CO2 mineralization andutilization using steel slag, CCU05-Steel), CO2 curing concrete technology (CCU06-CO2mineralization and curing concrete, CCU06-Concrete), and CO2 microalgae biological utilization technology (CCU07-CO2 fixation by microalgae, CCU07-Microalgae) as the carbon dioxide utilization technologies to be selected. For each selected carbon dioxide utilization technology, obtain the corresponding second-level indicator parameters and the second-level indicator parameter values ​​under each second-level indicator parameter. The second-level indicator parameters include: the second low-carbon characteristic indicator; the second-level indicator parameters corresponding to the second low-carbon characteristic indicator include the unit energy consumption of carbon utilization technology, carbon dioxide consumption, raw material substitution emission reduction intensity and comprehensive emission reduction. The preferred second-level indicator parameters also include the second technical characteristic indicator and the second economic characteristic indicator. Specifically, Figure 6 As shown, it is the index for comprehensive evaluation of carbon dioxide utilization technology provided by the present invention, including the second first-level index: the second technical characteristic index, the second economic characteristic index and the second low-carbon index, preferably, also including the social characteristic index. The second technical characteristic index includes: a technical maturity index for evaluating the development stage of a certain carbon utilization technology, a technical promotion difficulty index for evaluating the competitiveness of a certain carbon utilization technology compared with similar technologies, and preferably, also includes a product market capacity index for evaluating the market demand for a certain carbon utilization technology product. The second low-carbon characteristic index includes: a carbon utilization technology unit energy consumption index (i.e., a carbon utilization technology unit energy consumption index for evaluating the energy consumption of a certain carbon utilization technology to generate a unit product) Figure 6 The carbon dioxide consumption index (i.e. the amount of carbon dioxide directly consumed when a carbon utilization technology produces a unit of product) is used to evaluate the carbon dioxide consumption index (i.e. Figure 6The second economic characteristic index includes: the consumption cost index (i.e., the total cost of all expenses consumed when a carbon utilization technology produces products) used to evaluate the carbon dioxide consumption intensity of a carbon utilization technology when it replaces traditional fossil fuels to produce products, and the comprehensive emission reduction index used to evaluate the direct emission reduction and replacement emission reduction of a carbon utilization technology. Figure 6 Cost indicators) are used to evaluate the benefits of a carbon utilization technology through products (i.e. Figure 6 Preferably, the social characteristic indicators include: traditional safety and environmental indicators used to evaluate whether safety can be ensured during operation and whether environmental hazards caused by carbon dioxide leakage can be avoided; industrial chain safety indicators used to evaluate whether the upstream and downstream of the industry are complete, safe, and stable; and supply chain safety indicators used to evaluate the supply chain security of the entire CCUS system and avoid production suspension caused by supply chain rupture.

[0105] In the evaluation and selection of carbon dioxide utilization technology, the hierarchical analysis method combined with TOPSIS is used for modeling, which can evaluate the influencing factors at different levels and finally select the most applicable technical solution for application in CCUS technology.

[0106] For each carbon dioxide utilization technology to be selected, the indicator weights of each second-level indicator are obtained by the above formulas (1)-(3), and then the indicator weights of each second-level indicator parameter are calculated according to the indicator weights of each second-level indicator. Preferably, after calculating the weights of each indicator, it is necessary to test each indicator weight by formulas (4) and (5) so that the indicator weight results meet the requirements of consistency test.

[0107] Furthermore, according to the above formulas (6)-(13), single characteristic evaluations were conducted on CO2 methane reforming technology to produce synthesis gas (CCU01-Dry reforming of methane, CCU01-DRM), CO2 hydrogenation to methanol technology (CCU02-CO2 hydrogenation tomethanol, CCU02-CH3OH), CO2 photoelectrocatalytic reduction technology (CCU03-PEC), CO2 synthesis of organic carbonate (CCU04-Organic carbonate, CCU04-OC), CO2 mineralization and utilization using steel slag (CCU05-CO2 mineralization and utilization using steel slag, CCU05-Steel), CO2 mineralization and curing concrete (CCU06-Concrete), and CO2 microalgae bioutilization technology (CCU07-CO2 fixation by microalgae, CCU07-Microalgae), and the closeness of each carbon dioxide utilization technology to be selected was obtained respectively. The value of Figure 7 shown.

[0108] At the low-carbon level (corresponding to the second low-carbon characteristic index level mentioned above), CCU01-CH3OH (0.7424) > CCU01-DRM (0.6312) > CCU07-Microalgae (0.3793) > CCU03-PEC (0.3174) > CCU04-OC (0.1765) > CCU05-Steel (0.0992) > CCU06-Concrete (0.0766); Among them, it can be seen that the advantage of CCU01-CH3OH technology is mainly due to the fact that methanol is currently mainly produced through coal chemical processes, and the process has huge carbon emissions. The production of methanol through CO2 hydrogenation can achieve alternative emission reduction. In addition, the amount of CO2 directly consumed in the CCU01-CH3OH process is 1.37 tons of CO2 / ton of methanol, and the comprehensive emission reduction capacity is relatively large. Therefore, CCU01-CH3OH performs better. When only the carbon dioxide consumption factor is considered, CCU01-CH3OH is given priority as the carbon utilization technology selected in CCUS technology among the seven carbon dioxide utilization technologies to be selected, so as to improve the carbon neutrality effect of CUSS.

[0109] Preferably, the selection results are further optimized after comprehensive evaluation in combination with the technical level, safety level and economic level. When comprehensive evaluation is conducted in combination with the technical level, safety level and economic level, since low-carbon characteristics are the main considerations for carbon dioxide conversion and utilization technology at this stage, the weight of the low-carbon level indicator is 0.50, followed by technical characteristics (0.25), economic characteristics (0.125) and safety characteristics (0.125). At the technical level (i.e. corresponding to the second technical characteristic indicator level mentioned above), CCU01-DRM (1.0000)>CCU01-CH3OH (0.7466)>CCU04-OC (0.7092)>CCU07-Microalgae (0.6381)>CCU06-Concrete (0.5237)>CCU05-Steel (0.3392)>CCU03-PEC (0.2131); among them, CCU01-DRM performed better, mainly because synthesis gas products are important chemical platform products and fuels with a complete industrial chain, and the technology was developed earlier and has a higher degree of technical maturity. At the economic level (corresponding to the second economic characteristic indicator level mentioned above), CCU01-DRM (0.6202)>CCU04-OC (0.6126)>CCU01-CH3OH (0.5000), CCU07-Microalgae (0.5000)>CCU05-Steel (0.3874), CCU06-Concrete (0.3874)>CCU03-PEC (0.2265); among them, CCU01-DRM has a higher technical maturity, and its synthesis cost is slightly higher than that of coal-to-syngas, so it performs well. The costs of other CO2 conversion and utilization technologies are all high, while ester products have good economic value and can bring good benefits, so CCU01-DRM also performs well at the economic level. At the safety level (i.e. the above-mentioned social characteristics level), CCU04-OC (0.1478) > CCU01-CH3OH (0.1300) > CCU03-PEC (0.1017) > CCU05-Steel (0.0796), CCU06-Concrete (0.0796) > CCU07-Microalgae (0.0694) > CCU01-DRM (0.0364), which shows that the gap between various carbon utilization technologies at the safety level is small. Therefore, based on the comprehensive indicators, it can be seen that CCU01-DRM is better, and when only considering the carbon dioxide consumption level, CCU01-CH3OH is better as the carbon utilization technology used by CCUS.

[0110] The seven carbon dioxide utilization technologies to be selected The order of the values ​​is as follows Figure 8As shown, CCU01-CH3OH (0.7365) > CCU01-DRM (0.6367) > CCU07-Microalgae (0.3908) > CCU04-OC (0.3334) > CCU03-PEC (0.3135) > CCU06-Concrete (0.1512) > CCU05-Steel (0.1492); among them, CCU01-CH3OH and CCU01-DRM technologies currently have good promotion capabilities, and both technologies perform relatively well in technical, low-carbon and economic characteristics.

[0111] It should be added that with the adjustment of energy and industrial structure, the influence of various indicators on the comprehensive evaluation of CO2 utilization technology is constantly changing. Therefore, the above indicator weight establishment method is continued to be used to establish the indicator weights (CCU-indicator weights) of the comprehensive evaluation of CO2 conversion and utilization technology that change with the year. Fig. 9 As shown in the figure, 2025 is taken as the current assessment year, and 2030, 2035, 2050 and 2060 are taken as future assessment years. From 2025 to 2030, the technology will mature and spread to the market, so the weight of technology promotion difficulty and product market capacity will increase. After 2035, the market will gradually stabilize, and the weight of technology benefits, costs and traditional safety & environment factors will increase. i + Value Fig. 9As shown. CCU01-CH3OH technology is expected to have the ability to be commercialized in 2030, and the difficulty of market promotion is gradually reduced. With the promotion and application of technology, the comprehensive emission reduction capacity will be significantly increased, and low-cost energy supply will be provided. This technology has broad market prospects, economic and social significance. CCU01-DRM is expected to have the ability to be commercialized in 2030. This technology can simultaneously utilize two greenhouse gases, CO2 and methane, and has certain environmental significance. Although CCU03-PEC technology is currently in a relatively low stage of development, it is expected to achieve large-scale demonstration and promotion around 2035, and through deep coupling with renewable energy, it will stand out in multiple scenarios in the future and become the preferred solution in CCUS technology. CCU04-OC technology has a high degree of maturity. Although carbonate products have high economic benefits, the market demand is low, so the comprehensive emission reduction capacity and development potential of this technology are relatively limited. CCU05-Steel, although the market demand is large and the carbon fixation cycle is long, has obvious bottlenecks such as slow mineralization speed and low carbon reduction efficiency. The technical maturity of CCU06-Concrete has reached the pilot level, which can achieve carbon reduction and solid waste coordinated management, mainly facing the low-carbon building market, and has great potential for future application development. CCU07-Microalgae technology has high carbon reduction intensity, mature technology and easy promotion, but algae products require a large planting area and are limited in area, so the future development space is narrow. In summary, the comprehensive evaluation results of various CO2 conversion and utilization technologies at different time points in the future show that CCU01-CH3OH maintains a leading level; CCU06-Concrete and CCU03-PEC are relatively improved; CCU01-DRM, CCU07-Microalgae, and CCU04-OC rank lower than other utilization technologies; CCU05-Steel continues to maintain a low level.

[0112] By estimating the development direction of each carbon dioxide utilization technology to be selected, it is easier to select and update the carbon utilization technology used in CCUS technology, so that the carbon utilization effect and technology update can be guaranteed when CCUS technology is implemented.

[0113] By using the above method, an optimal carbon dioxide capture method and a carbon dioxide utilization method are selected from the carbon dioxide capture methods and carbon dioxide utilization methods to be selected and applied to the CCUS technology, so as to improve the carbon capture and carbon utilization effects of the CCUS technology, thereby improving the carbon neutrality effect.

[0114] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0115] like Fig.10As shown, an embodiment of the present invention provides a CCUS technology selection device, including: a first indicator selection module, a first indicator weight calculation module, a first scoring module and a carbon capture technology selection module;

[0116] The first indicator selection module is used to obtain a number of carbon dioxide capture technologies to be selected, the first level indicator parameters of each carbon dioxide capture technology to be selected, and the parameter values ​​of the first level indicators under each first level indicator parameter of each carbon dioxide capture technology to be selected; wherein the first level indicator parameters include a first low-carbon characteristic indicator; the first level indicators corresponding to the first low-carbon characteristic indicator include energy consumption, additional energy loss and gas processing energy consumption;

[0117] The first indicator weight calculation module is used to calculate the indicator weight of each first and second-level indicator for each carbon dioxide capture technology to be selected by using the hierarchical analysis method and the parameter values ​​of each first and second-level indicator; and calculate the indicator weight of each first and second-level indicator parameter according to the indicator weight of each first and second-level indicator;

[0118] The first scoring module is used to calculate the comprehensive capture score of each carbon dioxide capture technology to be selected according to the weight of each first-level indicator parameter;

[0119] The carbon capture technology selection module is used to select the carbon dioxide capture technology with the highest comprehensive capture score as the carbon dioxide capture technology selected in the CCUS technology.

[0120] In a preferred embodiment, it also includes: a second indicator selection module, a second indicator weight calculation module, a second scoring module and a carbon utilization technology selection module;

[0121] The second indicator selection module is used to obtain a number of carbon dioxide utilization technologies to be selected, the second first-level indicator parameters of each carbon dioxide utilization technology to be selected, and the parameter value of the second second-level indicator under each second first-level indicator parameter of each carbon dioxide utilization technology to be selected; wherein the second first-level indicator parameter includes a second low-carbon characteristic indicator; the first and second level indicators corresponding to the second low-carbon characteristic indicator include: unit energy consumption of carbon utilization technology, carbon dioxide consumption, raw material substitution emission reduction intensity and comprehensive emission reduction;

[0122] The second indicator weight calculation module is used to calculate the indicator weight of each second-level indicator through the hierarchical analysis method and the parameter value of each second-level indicator; according to the indicator weight of each second-level indicator, calculate the indicator weight of each second-level indicator parameter;

[0123] The second scoring module is used to calculate the comprehensive utilization score of each carbon dioxide utilization technology to be selected according to the indicator weight of each second first-level indicator parameter;

[0124] The carbon utilization technology selection module is used to select the selected carbon dioxide utilization technology with the highest comprehensive utilization score as the carbon dioxide utilization technology selected in the CCUS technology.

[0125] In a preferred embodiment, the first level index parameter also includes: a first economic characteristic index, a first technical characteristic index and a safety characteristic index;

[0126] The first and second level indicators corresponding to the first technical characteristic indicators include: technology maturity, technology applicability and impact on the original process;

[0127] The first and second level indicators corresponding to the first economic characteristic indicator include: construction cost and maintenance cost;

[0128] The first and second level indicators corresponding to the safety characteristic indicators include: environmental safety and operational safety.

[0129] In a preferred embodiment, the second first-level index parameter further includes: a second technical characteristic index and a second economic characteristic index;

[0130] The second secondary indicators corresponding to the second technical characteristic indicators include: technology maturity and technology promotion difficulty;

[0131] The second secondary indicators corresponding to the second economic characteristic indicators include: consumption cost and benefit.

[0132] 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.

[0133] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0134] Based on the above method item embodiments, the present invention provides corresponding terminal device item embodiments.

[0135] An embodiment of the present invention provides a terminal device, including 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 method for selecting a CCUS technology described in any one of the present invention is implemented.

[0136] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0137] The processor may be a central processing unit (CPU), 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 terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0138] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program 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, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, 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.

[0139] Based on the above method item embodiments, the present invention provides a corresponding storage medium item embodiment.

[0140] An embodiment of the present invention provides a storage medium, wherein the storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute a method for selecting a CCUS technology as described in any one of the present inventions.

[0141] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, 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, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.

[0142] 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 method for selecting CCUS technology, characterized in that: include: Obtaining a number of carbon dioxide capture technologies to be selected, first-level indicator parameters of each carbon dioxide capture technology to be selected, and parameter values ​​of first-level indicators under each first-level indicator parameter of each carbon dioxide capture technology to be selected; wherein the first-level indicator parameter includes a first low-carbon characteristic indicator; the first-level indicators corresponding to the first low-carbon characteristic indicator include energy consumption, additional energy loss, and gas processing energy consumption; For each carbon dioxide capture technology to be selected, the indicator weights of the first and second level indicators are calculated by using the analytic hierarchy process and the parameter values ​​of the first and second level indicators; According to the indicator weights of the first and second level indicators, calculate the indicator weights of the first and second level indicator parameters; Calculate the comprehensive capture score of each carbon dioxide capture technology to be selected based on the weight of each first-level indicator parameter; The selected CO2 capture technology with the highest comprehensive capture score will be used as the CO2 capture technology selected in CCUS technology.

2. A method for selecting CCUS technology according to claim 1, characterized in that: Also includes: Obtaining a number of carbon dioxide utilization technologies to be selected, second-level indicator parameters of each carbon dioxide utilization technology to be selected, and parameter values ​​of second-level indicators under each second-level indicator parameter of each carbon dioxide utilization technology to be selected; wherein the second-level indicator parameter includes a second low-carbon characteristic indicator; the first-level indicators corresponding to the second low-carbon characteristic indicator include: unit energy consumption of carbon utilization technology, carbon dioxide consumption, raw material substitution emission reduction intensity, and comprehensive emission reduction; Calculate the indicator weight of each second-level indicator through the analytic hierarchy process and the parameter value of each second-level indicator; According to the indicator weights of each second-level indicator, calculate the indicator weights of each second-level indicator parameter; Calculate the comprehensive utilization score of each carbon dioxide utilization technology to be selected according to the indicator weight of each second-level indicator parameter; The selected carbon dioxide utilization technology with the highest comprehensive utilization score will be used as the carbon dioxide utilization technology selected in CCUS technology.

3. A method for selecting CCUS technology according to claim 2, characterized in that: The first level index parameters also include: a first economic characteristic index, a first technical characteristic index and a safety characteristic index; The first and second level indicators corresponding to the first technical characteristic indicators include: technology maturity, technology applicability and impact on the original process; The first and second level indicators corresponding to the first economic characteristic indicator include: construction cost and maintenance cost; The first and second level indicators corresponding to the safety characteristic indicators include: environmental safety and operational safety.

4. A method for selecting CCUS technology according to claim 3, characterized in that: The second level index parameters also include: a second technical characteristic index and a second economic characteristic index; The second secondary indicators corresponding to the second technical characteristic indicators include: technology maturity and technology promotion difficulty; The second secondary indicators corresponding to the second economic characteristic indicators include: consumption cost and benefit.

5. A CCUS technology selection device, characterized in that: include: A first indicator selection module, a first indicator weight calculation module, a first scoring module and a carbon capture technology selection module; The first indicator selection module is used to obtain a number of carbon dioxide capture technologies to be selected, the first level indicator parameters of each carbon dioxide capture technology to be selected, and the parameter values ​​of the first level indicators under each first level indicator parameter of each carbon dioxide capture technology to be selected; wherein the first level indicator parameters include a first low-carbon characteristic indicator; the first level indicators corresponding to the first low-carbon characteristic indicator include energy consumption, additional energy loss and gas processing energy consumption; The first indicator weight calculation module is used to calculate the indicator weight of each first and second-level indicator for each carbon dioxide capture technology to be selected by using the hierarchical analysis method and the parameter values ​​of each first and second-level indicator; and calculate the indicator weight of each first and second-level indicator parameter according to the indicator weight of each first and second-level indicator; The first scoring module is used to calculate the comprehensive capture score of each carbon dioxide capture technology to be selected according to the weight of each first-level indicator parameter; The carbon capture technology selection module is used to select the carbon dioxide capture technology with the highest comprehensive capture score as the carbon dioxide capture technology selected in the CCUS technology.

6. A CCUS technology selection device as claimed in claim 5, characterized in that: Also includes: A second indicator selection module, a second indicator weight calculation module, a second scoring module and a carbon utilization technology selection module; The second indicator selection module is used to obtain a number of carbon dioxide utilization technologies to be selected, the second first-level indicator parameters of each carbon dioxide utilization technology to be selected, and the parameter value of the second second-level indicator under each second first-level indicator parameter of each carbon dioxide utilization technology to be selected; wherein the second first-level indicator parameter includes a second low-carbon characteristic indicator; the first and second level indicators corresponding to the second low-carbon characteristic indicator include: unit energy consumption of carbon utilization technology, carbon dioxide consumption, raw material substitution emission reduction intensity and comprehensive emission reduction; The second indicator weight calculation module is used to calculate the indicator weight of each second-level indicator through the hierarchical analysis method and the parameter value of each second-level indicator; according to the indicator weight of each second-level indicator, calculate the indicator weight of each second-level indicator parameter; The second scoring module is used to calculate the comprehensive utilization score of each carbon dioxide utilization technology to be selected according to the indicator weight of each second first-level indicator parameter; The carbon utilization technology selection module is used to select the selected carbon dioxide utilization technology with the highest comprehensive utilization score as the carbon dioxide utilization technology selected in the CCUS technology.

7. A CCUS technology selection device as claimed in claim 6, characterized in that: The first level index parameters also include: a first economic characteristic index, a first technical characteristic index and a safety characteristic index; The first and second level indicators corresponding to the first technical characteristic indicators include: technology maturity, technology applicability and impact on the original process; The first and second level indicators corresponding to the first economic characteristic indicator include: construction cost and maintenance cost; The first and second level indicators corresponding to the safety characteristic indicators include: environmental safety and operational safety.

8. A CCUS technology selection device as claimed in claim 7, characterized in that: The second level index parameters also include: a second technical characteristic index and a second economic characteristic index; The second secondary indicators corresponding to the second technical characteristic indicators include: technology maturity and technology promotion difficulty; The second secondary indicators corresponding to the second economic characteristic indicators include: consumption cost and benefit.

9. A terminal device, 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 method for selecting a CCUS technology as claimed in any one of claims 1 to 4 is implemented.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute a method for selecting a CCUS technology according to any one of claims 1 to 4.

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