Crude oil seaport wharf carbon emission level evaluation method and device and storage medium

Abstract

The invention relates to a method and device for evaluating the carbon emission level of a crude oil seaport wharf and a storage medium, and belongs to the technical field of carbon emission accounting, and the method comprises the steps: determining the carbon emission accounting amount through employing an emission factor correction coefficient based on a carbon emission accounting model; the carbon emission accounting model is constructed based on the accounting boundary of the crude oil seaport wharf and a carbon emission source; performing consistency verification on the judgment matrix, and determining the weight of the preset evaluation index; the judgment matrix is determined based on the importance degree between the preset evaluation indexes; establishing an original matrix based on the evaluation index data corresponding to the crude oil seaport wharf; the evaluation index data comprises a carbon emission accounting amount; and determining the carbon emission level of the crude oil seaport wharf based on the original matrix and the weight of the preset evaluation index. According to the method for evaluating the carbon emission level of the crude oil seaport wharf, the carbon emission level of the wharf is comprehensively evaluated.

Description

Technical Field

[0001] The present invention relates to the field of carbon emission accounting technology, and in particular to a method, device and storage medium for evaluating the carbon emission level of a crude oil seaport terminal. Background Art

[0002] Currently, climate change has become the biggest environmental problem. Carrying out carbon emissions accounting is the foundation of all efforts to address climate change and a key support for policies related to emission reduction and carbon reduction. The entire oil and gas industry chain, from extraction, transportation, storage, to end-use applications, generates significant carbon emissions.

[0003] As a crucial link in the petrochemical industry chain, carbon emissions accounting for crude oil seaport terminals is of paramount importance. Currently, there are no specific carbon emissions accounting standards for oil, gas, and chemical terminals in China. Relevant petrochemical carbon emissions accounting standards cover only a limited range of terminal storage and transportation systems. However, in actual production and operation, oil, gas, and chemical terminals vary widely, and process operations are closely tied to terminal type. Existing carbon emissions accounting technical specifications address carbon emissions accounting for oil, gas, and chemical terminals, but the coverage is insufficient and operational feasibility is limited. Furthermore, current port energy conservation evaluations are based solely on unit energy consumption, without considering the comprehensive impact of other factors within the terminal itself. Summary of the Invention

[0004] In view of this, it is necessary to provide a method, device and storage medium for evaluating the carbon emission level of a crude oil seaport terminal, so as to achieve the purpose of comprehensively evaluating the carbon emission level of a crude oil seaport terminal.

[0005] In order to achieve the above objectives, in a first aspect, the present invention provides a method for evaluating carbon emissions levels at crude oil seaport terminals, comprising: Based on the carbon emission accounting model, the carbon emission accounting amount is determined using the emission factor correction coefficient; the carbon emission accounting model is constructed based on the accounting boundary and carbon emission sources of the crude oil port terminal; Performing consistency check on the judgment matrix to determine the weights of the preset evaluation indicators; the judgment matrix is ​​determined based on the importance of the preset evaluation indicators; Establishing an original matrix based on evaluation index data corresponding to the crude oil seaport terminal; the evaluation index data includes the carbon emission accounting amount; Based on the original matrix and the weights of the preset evaluation indicators, the carbon emission level of the crude oil seaport terminal is determined.

[0006] In one possible implementation, before determining the carbon emission accounting amount using the emission factor correction coefficient based on the carbon emission accounting model, the method further includes: Correcting the emission factor coefficient based on relative humidity, equipment real-time load rate, and altitude to obtain the emission factor correction coefficient; The emission factor correction factors include humidity correction factor, load rate correction factor and altitude correction factor.

[0007] In a possible implementation, performing consistency check on the judgment matrix and determining the weights of preset evaluation indicators include: Perform consistency check on the judgment matrix to obtain the first matrix after passing the check; Multiplying the first matrix row by row to obtain a column vector; The column vector is squared and normalized to obtain the weight of the preset evaluation index.

[0008] In one possible implementation, determining the carbon emission level of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators includes: Calculating a score for the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators; Based on the scores, the carbon emission level of the crude oil seaport terminal is determined.

[0009] In a possible implementation, calculating the score of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators includes: Normalizing the original matrix to obtain a second matrix; Performing square root dimensionless transformation on elements of the second matrix based on the weights to obtain a third matrix; Normalizing the third matrix to obtain a weight matrix; Determining the composite weight of the evaluation index data based on the weight matrix; Based on the original matrix and the composite weight, a score of the crude oil seaport terminal is obtained.

[0010] In one possible implementation, the carbon emission accounting amount is expressed as follows:

[0011] in, For carbon emission accounting, For emission source i The activity of the material, is the emission factor correction coefficient, For the i Kind of material j Emission factors of greenhouse gases, for j The global warming potential of greenhouse gases.

[0012] In a possible implementation, the preset evaluation indicators include: Designed throughput capacity, effective berth utilization rate, actual berth loading and unloading volume, average loading and unloading efficiency, unit loading and unloading cost, total equivalent carbon emissions and total equivalent carbon emissions from non-traditional fossil energy.

[0013] In a second aspect, the present invention further provides a device for evaluating carbon emissions levels at a crude oil seaport terminal, comprising: A first determination module is configured to determine the carbon emission accounting amount using an emission factor correction coefficient based on a carbon emission accounting model constructed based on the accounting boundary and carbon emission sources of the crude oil seaport terminal; A second determination module is used to perform consistency check on the judgment matrix and determine the weights of the preset evaluation indicators; the judgment matrix is ​​determined based on the importance between the preset evaluation indicators; An establishment module is used to establish an original matrix based on evaluation index data corresponding to the crude oil seaport terminal; the evaluation index data includes the carbon emission accounting amount; The third determination module is used to determine the carbon emission level of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators.

[0014] In a third aspect, the present invention further provides an electronic device comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the carbon emission level evaluation method for crude oil seaport terminals described in any of the above implementations.

[0015] In a fourth aspect, the present invention also provides a computer-readable storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the method for evaluating the carbon emission level of a crude oil seaport terminal described in any of the above-mentioned implementation methods.

[0016] The beneficial effects of the present invention are as follows: the carbon emission level evaluation method, device and storage medium for crude oil seaport terminals provided by the present invention construct an accurate carbon emission accounting model based on the terminal accounting boundary and carbon emission source, and adopt an emission factor correction coefficient to reduce the error of the carbon emission accounting amount. The judgment matrix is ​​determined according to the importance between multiple preset evaluation indicators, and a consistency check is performed to obtain the weights of the preset evaluation indicators, thereby establishing an original matrix according to the evaluation indicator data corresponding to the terminal, and using the weights to calculate the score of the crude oil seaport terminal. The score comprehensively reflects the overall emission level of the terminal, and can be used to evaluate the carbon emission level of the crude oil seaport terminal, thereby realizing a comprehensive evaluation of the carbon emission level of the terminal. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A schematic flow chart of an embodiment of a method for evaluating carbon emissions levels at a crude oil seaport terminal provided by the present invention; Figure 2 This is a schematic diagram of the carbon emission accounting boundary of the crude oil seaport terminal provided by the present invention; Figure 3 A carbon emission source division diagram for a crude oil seaport terminal provided by the present invention; Figure 4 A flow chart for implementing the crude oil seaport terminal carbon emission accounting and evaluation method provided by the present invention; Figure 5 This is a flowchart for the implementation of the comprehensive carbon emission assessment of crude oil seaport terminals provided by the present invention; Figure 6 A schematic structural diagram of an embodiment of a device for evaluating carbon emissions at a crude oil seaport terminal provided by the present invention; Figure 7 This is a schematic structural diagram of an embodiment of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise specified, "plurality" means two or more. "And / or" describes the association relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone.

[0021] The terms "first," "second," and so on, used in the embodiments of the present invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, technical features designated as "first" or "second" may explicitly or implicitly include at least one such feature.

[0022] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] The present invention provides a method, device and storage medium for evaluating the carbon emission level of a crude oil seaport terminal, which are described below.

[0024] Figure 1 A flow chart of an embodiment of the carbon emission level evaluation method for crude oil seaport terminals provided by the present invention is shown as follows: Figure 1 As shown in the figure, the carbon emission level evaluation method of crude oil seaport terminal includes: S101. Based on a carbon emission accounting model, an emission factor correction coefficient is used to determine the carbon emission accounting amount; the carbon emission accounting model is constructed based on the accounting boundary and carbon emission sources of the crude oil seaport terminal.

[0025] The accounting boundary of the crude oil seaport terminal can be defined as the physical space formed by the port boundary and the boundary between the terminal's land and water areas. Figure 2 The schematic diagram of the carbon emission accounting boundary of the crude oil seaport terminal provided by the present invention is as follows: Figure 2 As shown, it includes three sub-areas: the tanker entry and exit channel, the port tugboat channel and the crude oil loading and unloading terminal.

[0026] By identifying the carbon emission sources in the crude oil loading and unloading process and refining the carbon emission inventory, the crude oil loading and unloading process is broken down into four links: the tanker berthing and mooring stage, the crude oil loading and unloading operation stage, the loading and unloading system clearing and purging stage, and the tanker leaving the port stage. Figure 3 The carbon emission source division diagram of the crude oil seaport terminal provided by the present invention is as follows: Figure 3 As shown, there are different sources of carbon emissions at different stages.

[0027] The carbon emission accounting model is determined according to the accounting boundary and carbon emission sources. The emission factor coefficient is corrected by relative humidity, real-time load rate of equipment and altitude to obtain the emission factor correction coefficient. Considering the impact of external environmental factors on emission results, the dynamic emission factor method can be used to calculate carbon emissions and obtain the carbon emission accounting amount.

[0028] S102: Perform consistency check on the judgment matrix to determine the weights of preset evaluation indicators; the judgment matrix is ​​determined based on the importance between the preset evaluation indicators.

[0029] The preset evaluation indicators of crude oil seaport terminals may include designed throughput capacity, effective berth utilization rate, actual berth loading and unloading volume, average loading and unloading efficiency, unit loading and unloading cost, total equivalent carbon emissions and total equivalent carbon emissions from non-traditional fossil energy.

[0030] A judgment matrix is ​​constructed based on the importance of each pair of preset evaluation indicators. By performing consistency check on the judgment matrix, consistency evaluation errors can be avoided.

[0031] The judgment matrix that has passed the consistency check is transformed using the geometric mean method to calculate the first-level weight of each preset evaluation indicator.

[0032] S103. Establish an original matrix based on the evaluation index data corresponding to the crude oil seaport terminal; the evaluation index data includes the carbon emission accounting amount.

[0033] The evaluation index data corresponding to the crude oil seaport terminal is the actual value corresponding to the preset evaluation index. The comparison objects can be selected according to the needs of different time periods of the same terminal or different terminals in the same time period. The number of comparison objects is n. The original matrix A between the comparison objects and the evaluation index data is established. n×m =x ij .

[0034] S104: Determine the carbon emission level of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators.

[0035] Based on the original matrix and the weights of the pre-set evaluation indicators, a score is calculated for each crude oil terminal. This score comprehensively reflects the terminal's overall emissions level and can be used to evaluate the terminal's carbon emissions. As can be seen, a higher score indicates a terminal's overall performance across multiple dimensions, such as carbon emissions, efficiency, and costs, indicating greater environmental protection, efficiency, and cost effectiveness. A lower score indicates poor performance in these areas, potentially indicating high emissions, low efficiency, or high costs.

[0036] In summary, the carbon emission level evaluation method for crude oil seaport terminals provided by the embodiment of the present invention constructs an accurate carbon emission accounting model based on the terminal accounting boundary and carbon emission sources, adopts the emission factor correction coefficient to reduce the error of the carbon emission accounting amount, determines the judgment matrix according to the importance between multiple preset evaluation indicators, and performs consistency verification to obtain the weights of the preset evaluation indicators, thereby establishing the original matrix according to the evaluation indicator data corresponding to the terminal, and using the weights to calculate the score of the crude oil seaport terminal. The score comprehensively reflects the overall emission level of the terminal, and can be used to evaluate the carbon emission level of the crude oil seaport terminal, thereby realizing a comprehensive evaluation of the carbon emission level of the terminal.

[0037] In some embodiments of the present invention, before determining the carbon emission accounting amount based on the carbon emission accounting model and using the emission factor correction coefficient, the method further includes: Correcting the emission factor coefficient based on relative humidity, equipment real-time load rate, and altitude to obtain the emission factor correction coefficient; The emission factor correction factors include humidity correction factor, load rate correction factor and altitude correction factor.

[0038] In some embodiments of the present invention, the carbon emission accounting amount is expressed as follows:

[0039] in, For carbon emission accounting, For emission source i The activity of the material, is the emission factor correction coefficient, For the i Kind of material j Emission factors of greenhouse gases, for j The global warming potential of greenhouse gases.

[0040] Taking into account the impact of external environmental factors on emission results, the dynamic emission factor method is used to calculate carbon emissions. The greenhouse gases involved in the calculation are CO2, CH4 and N2O:

[0041] in, is the total CO2 equivalent emissions; is the activity amount of the i-th material of the emission source; is the emission factor correction factor; is the emission factor of type j greenhouse gas for type i material; is the global warming potential of type j greenhouse gas.

[0042] The emission factor correction takes into account the altitude and meteorological conditions of the port, as well as the power fluctuations of different power-consuming equipment during actual operation. The emission factor correction coefficients are as follows:

[0043]

[0044]

[0045]

[0046] in, is the humidity correction factor; is the load rate correction factor; is the altitude correction factor; RH is the relative humidity; α is the real-time load rate of the equipment; β is the equipment type correction coefficient; H is the altitude.

[0047] The carbon emission accounting results are classified and counted according to fuel type, emission source type and operation stage for users to filter.

[0048] In some embodiments of the present invention, performing consistency check on the judgment matrix and determining the weight of the preset evaluation index includes: Perform consistency check on the judgment matrix to obtain the first matrix after passing the check; Multiplying the first matrix row by row to obtain a column vector; The column vector is squared and normalized to obtain the weight of the preset evaluation index.

[0049] The preset evaluation indicators include designed throughput capacity, effective berth utilization rate, actual berth loading and unloading volume, average loading and unloading efficiency, unit loading and unloading cost, total equivalent carbon emissions and total equivalent carbon emissions from non-traditional fossil energy. The indicator number m is 7.

[0050] The expert scoring system is introduced into the selected evaluation indicators to score and judge the importance of each indicator, and the judgment matrix A is constructed. m×m =a ij (i=1,2,3,...,m;j=1,2,3,...,m;m=7).

[0051] The scoring standard is assigned from 1 to 9 points, with 1 point indicating equal importance and 9 points indicating extreme importance. kk =1,a ij ×a ji =1 (k=1,2,3,...,m;m=7).

[0052] In order to prevent consistency evaluation errors, the judgment matrix A m×m Perform consistency check:

[0053]

[0054] Among them, CI is the consistency test index, is the judgment matrix A m×m The maximum eigenvalue of , RI is the random consistency index, and CR is the consistency degree.

[0055] When CR < 0.1, it can be considered that the judgment matrix A m×m Pass the consistency check, otherwise re-score until the judgment matrix Am×m The consistency check passes.

[0056] The judgment matrix consistency check (CR<0.1) and entropy weight method data-driven correction are introduced to balance the subjective opinions of experts and the objective differences in data, thereby improving the rationality of weights.

[0057] For the first matrix A that passes the consistency check m×m The geometric mean method is used for matrix transformation. First, the first matrix A m×m Multiply by row to get column vector, then take the column vector to the mth power and normalize the column vector after square root to get the first-level weight w of each indicator i :

[0058] In some embodiments of the present invention, determining the carbon emission level of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators includes: Calculating a score for the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators; Based on the scores, the carbon emission level of the crude oil seaport terminal is determined.

[0059] In some embodiments of the present invention, calculating the score of the crude oil seaport terminal based on the original matrix and the weight of the preset evaluation index includes: Normalizing the original matrix to obtain a second matrix; Performing square root dimensionless transformation on elements of the second matrix based on the weights to obtain a third matrix; Normalizing the third matrix to obtain a weight matrix; Determining the composite weight of the evaluation index data based on the weight matrix; Based on the original matrix and the composite weight, a score of the crude oil seaport terminal is obtained.

[0060] The original matrix A n×m The evaluation indicators are normalized, that is, different types of evaluation indicator data are converted into comparable data of the same type, and the normalized second matrix is ​​obtained. .

[0061] Introducing the aforementioned first-level indicator weights w i ， And normalize the second matrix Each element is dimensionless by taking square roots to obtain the third matrix Z n×m =z ij :

[0062] The dimensionless third matrix Z n×m Normalize it to get the weight matrix W n×m = :

[0063] For the weight matrix W n×m Find the composite weight of each indicator :

[0064] For the original matrix A n×m =xij normalization, and obtain the comprehensive score of each comparison object S i :

[0065] Output the carbon emission accounting results for each terminal and provide a comprehensive emission evaluation score for each terminal. The carbon emission accounting results are presented in the following types: by accounting stage (i.e., the four accounting stages divided in the above steps); by equipment and device; by energy type; by emission type; and by spatial location.

[0066] Figure 4 This is a flowchart of the implementation of the crude oil seaport terminal carbon emission accounting and evaluation method provided by the present invention. Figure 5 The present invention provides a flowchart for the implementation of the comprehensive carbon emission evaluation of crude oil seaport terminals. Figure 4 、 Figure 5 The method provided by the present invention is described in detail with reference to specific application scenarios. A system diagram for implementing a method for calculating and evaluating carbon emissions from crude oil seaport terminals includes the following steps: S1. Construct a carbon emission accounting model for crude oil seaport terminals.

[0067] Step S1 includes the following: determining the accounting boundary; identifying carbon emission sources, and refining the carbon emission inventory.

[0068] S11. Determine the accounting boundary, such as Figure 2 As shown in the figure, the accounting scope is defined as the physical space formed by the port boundary and the water and land boundary of the terminal, including the three sub-areas of the tanker entry and exit channel, the port tugboat channel and the crude oil loading and unloading terminal. Figure 2 shown.

[0069] S12. Identify carbon emission sources, refine the carbon emission inventory, and decompose the crude oil loading and unloading process into four steps, such as Figure 3As shown in the figure, the emission inventory for each emission stage is listed: 1) the tanker berthing and mooring stage; 2) the crude oil loading and unloading operation stage; 3) the loading and unloading system emptying and purging stage; 4) the tanker leaving the port stage.

[0070] S2. Use the dynamic emission factor method to calculate carbon emissions.

[0071] In step S2, the greenhouse gases involved in the calculation are CO2, CH4, and N2O. Different greenhouse gases are converted into equivalent carbon dioxide using the 50-year Global Warming Potential (GWP), where the GWP value is the value provided by the IPCC Fifth Assessment Report (IPCCAR5). Considering the impact of external environmental factors on emission results, the dynamic emission factor method is used to calculate carbon emissions:

[0072] in, is the total CO2 equivalent emissions; is the activity amount of the i-th material of the emission source; is the emission factor correction factor; is the emission factor of type j greenhouse gas for type i material; is the global warming potential of type j greenhouse gas.

[0073] The emission factor correction takes into account the altitude and meteorological conditions of the port, as well as the power fluctuations of different power-consuming equipment during actual operation. The emission factor correction coefficients are as follows:

[0074]

[0075]

[0076]

[0077] in, is the humidity correction factor; is the load rate correction factor; is the altitude correction factor; RH is the relative humidity; α is the real-time load rate of the equipment; β is the equipment type correction factor; H is the altitude.

[0078] The carbon emission accounting results are classified and counted according to fuel type, emission source type and operation stage for users to filter.

[0079] S3. Screen carbon emission evaluation indicators.

[0080] In step S3, the following contents are included: selecting carbon emission evaluation indicators; and calculating the first-level weights of the evaluation indicators.

[0081] S31. The selected evaluation indicators include the following 7 items: ① Design throughput capacity; ② Effective utilization rate of berths; ③ Actual loading and unloading volume of berths; ④ Average loading and unloading efficiency; ⑤ Unit loading and unloading cost; ⑥ Total equivalent carbon emissions; ⑦ Total equivalent carbon emissions of non-traditional fossil energy.

[0082] S32. Introduce an expert scoring system for the selected evaluation indicators, score and judge the importance of each indicator, and construct a judgment matrix A m×m = a ij (i=1,2,3,...,m;j=1,2,3,...,m;m=7); The scoring standard is assigned from 1 to 9 points, with 1 point indicating equal importance and 9 points indicating extreme importance. a kk =1, a ij × a ji =1(k=1,2,3,...,m;m=7); The judgment matrix A consists of seven indicators m×m = a ij As shown below:

[0083] In order to prevent consistency evaluation errors, the judgment matrix A m×m Perform consistency check:

[0084] Among them, CI is the consistency test index, is the judgment matrix A m×m The maximum eigenvalue of , RI is the random consistency index, and CR is the consistency degree.

[0085] The values ​​of random consistency index RI are shown in Table 1:

[0086] When CR < 0.1, it can be considered that the judgment matrix A m×m Pass the consistency check, otherwise re-score until the judgment matrix A m×m Pass consistency check; For the matrix A that passes the consistency check m×m The geometric mean method is used for matrix transformation; To calculate the first-level weight of each indicator wi , firstly, the judgment matrix A m×m Multiplying by rows gives a column vector: ( ) m×1 (j=1,2,3,...,m;m=7); Then for the column vector ( ) m×1 m-th power: ( ) m×1 ; For column vectors ( ) m×1 Perform normalization to obtain the first-level weight of each indicator w i : (i=1,2,3,...,m;m=7).

[0087] S4. Construct a carbon emission evaluation model and conduct analysis and evaluation.

[0088] In step S4, the following steps are included: establishing an original matrix; normalizing the original matrix; calculating the comprehensive weight index of the normalized matrix; calculating the comprehensive score of each comparison object; S41. Develop a comparison plan. You can select comparison objects based on the needs of different time periods at the same terminal or different terminals at the same time period. The number of comparison objects is n. Establish the original matrix A of comparison objects and evaluation indicators. n×m = x ij ; S42, the original matrix A n×m The evaluation indicators are normalized, that is, different types of evaluation indicator data are converted into comparable data of the same type. The evaluation indicators can be divided into four common types according to the original data type: 1) income type; 2) expenditure type; 3) intermediate type; and 4) interval type. The normalization formula is as follows: Revenue data, such as throughput and loading and unloading volume:

[0089] Expenditure data, such as carbon emissions: (i=1,2,3,...,m;m=7); Intermediate data, which is not available in this example: (i=1,2,3,...,m;m=7) (i=1,2,3,...,m;m=7) Interval data, such as berth utilization rate: (i=1,2,3,...,m;m=7) (i=1,2,3,...,m;m=7) in, is the transformed data, is the optimal value for intermediate data, a and b are the lower and upper limits of the optimal closed interval for interval data, respectively. A collection of sequences.

[0090] S43. Normalized Matrix = Each element is dimensionless by square root, and the matrix Z is obtained n×m = z ij :

[0091] For the dimensionless matrix Z n×m Normalize and get the secondary weight matrix W n×m = :

[0092] For the secondary weight matrix W n×m Find the composite weight of each indicator :

[0093] S44, the original matrix A n×m = x ij Normalize and get the comprehensive score of each comparison scheme S i :

[0094] S5. Provide carbon emission accounting results and analysis and evaluation results.

[0095] In step S5, the carbon emission accounting results of each terminal are output and a comprehensive emission evaluation score of each terminal is given.

[0096] This paper introduces a dynamic emission factor model to construct a carbon emissions accounting method for crude oil seaport terminals, improving the practicality and operability of the accounting method. It also proposes a comprehensive carbon emissions evaluation method based on the Analytic Hierarchy Model, taking into account seven terminal operating indicators to ensure that the evaluation results are more valuable for reference.

[0097] In order to better implement the carbon emission level evaluation method of the crude oil seaport terminal in the embodiment of the present invention, based on the carbon emission level evaluation method of the crude oil seaport terminal, correspondingly, Figure 6 As shown, an embodiment of the present invention further provides a device for evaluating carbon emission levels at a crude oil seaport terminal. The device 600 for evaluating carbon emission levels at a crude oil seaport terminal includes: A first determination module 610 is configured to determine a calculated carbon emission amount using an emission factor correction coefficient based on a carbon emission accounting model constructed based on the accounting boundary and carbon emission sources of a crude oil seaport terminal; The second determination module 620 is used to perform consistency check on the judgment matrix and determine the weights of the preset evaluation indicators; the judgment matrix is ​​determined based on the importance of the preset evaluation indicators; Establishing module 630, for establishing an original matrix based on evaluation index data corresponding to the crude oil seaport terminal; the evaluation index data includes the carbon emission accounting amount; The third determination module 640 is configured to determine the carbon emission level of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators.

[0098] The carbon emission level evaluation device 600 for the crude oil seaport terminal provided in the above embodiment can implement the technical solution described in the above embodiment of the carbon emission level evaluation method for the crude oil seaport terminal. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the carbon emission level evaluation method for the crude oil seaport terminal, which will not be repeated here.

[0099] like Figure 7 As shown, the present invention also provides an electronic device 700. The electronic device 700 includes a processor 701, a memory 702 and a display 703. Figure 7 Only some of the components of the electronic device 700 are shown, but it should be understood that it is not required to implement all of the shown components, and more or fewer components may be implemented instead.

[0100] In some embodiments, the processor 701 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 702 , such as the carbon emission level assessment method for crude oil seaport terminals in the present invention.

[0101] In some embodiments, the processor 701 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 701 may be local or remote. In some embodiments, the processor 701 may be implemented on a cloud platform. In some embodiments, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, multiple clouds, or any combination thereof.

[0102] In some embodiments, the memory 702 may be an internal storage unit of the electronic device 700, such as a hard disk or memory of the electronic device 700. In other embodiments, the memory 702 may also be an external storage device of the electronic device 700, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 700.

[0103] Furthermore, the memory 702 may include both an internal storage unit of the electronic device 700 and an external storage device. The memory 702 is used to store application software installed in the electronic device 700 and various data.

[0104] In some embodiments, display 703 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an organic light-emitting diode (OLED) touchscreen. Display 703 is used to display information on electronic device 700 and to display a visual user interface. Components 701-703 of electronic device 700 communicate with each other via a system bus.

[0105] In one embodiment, when the processor 701 executes the carbon emission level evaluation program for a crude oil seaport terminal in the memory 702, the following steps may be implemented: Based on the carbon emission accounting model, the carbon emission accounting amount is determined using the emission factor correction coefficient; the carbon emission accounting model is constructed based on the accounting boundary and carbon emission sources of the crude oil port terminal; Performing consistency check on the judgment matrix to determine the weights of the preset evaluation indicators; the judgment matrix is ​​determined based on the importance of the preset evaluation indicators; Establishing an original matrix based on evaluation index data corresponding to the crude oil seaport terminal; the evaluation index data includes the carbon emission accounting amount; Based on the original matrix and the weights of the preset evaluation indicators, the carbon emission level of the crude oil seaport terminal is determined.

[0106] It should be understood that, when the processor 701 executes the carbon emission level evaluation program for crude oil seaport terminals in the memory 702 , in addition to the above functions, it can also implement other functions. For details, please refer to the description of the corresponding method embodiment above.

[0107] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 700 mentioned. The electronic device 700 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, or the like. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with iOS, Android, Microsoft, or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 700 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0108] Accordingly, an embodiment of the present invention also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions of the carbon emission level evaluation method for crude oil seaport terminals provided in the above-mentioned method embodiments.

[0109] Those skilled in the art will appreciate that all or part of the process flow of the above-described method embodiment can be implemented by instructing related hardware (such as a processor, controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a magnetic disk, an optical disk, a read-only memory, or a random access memory.

[0110] The above is a detailed introduction to the carbon emission level evaluation method, device and storage medium for crude oil seaport terminals provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for evaluating carbon emission levels at a crude oil seaport terminal, characterized in that: include: Based on the carbon emission accounting model, the emission factor correction coefficient is used to determine the carbon emission accounting amount; The carbon emission accounting model is constructed based on the accounting boundary and carbon emission sources of the crude oil seaport terminal; Perform consistency check on the judgment matrix and determine the weights of the preset evaluation indicators; The judgment matrix is ​​determined based on the importance of the preset evaluation indicators; Establishing an original matrix based on evaluation index data corresponding to the crude oil seaport terminal; the evaluation index data includes the carbon emission accounting amount; Based on the original matrix and the weights of the preset evaluation indicators, the carbon emission level of the crude oil seaport terminal is determined.

2. The carbon emission level evaluation method for crude oil seaport terminal according to claim 1 is characterized in that: Before determining the carbon emission accounting amount using the emission factor correction coefficient based on the carbon emission accounting model, the following steps are also included: Correcting the emission factor coefficient based on relative humidity, equipment real-time load rate, and altitude to obtain the emission factor correction coefficient; The emission factor correction factors include humidity correction factor, load rate correction factor and altitude correction factor.

3. The carbon emission level evaluation method for crude oil seaport terminal according to claim 1 is characterized in that: The consistency check of the judgment matrix and determination of the weights of the preset evaluation indicators include: Perform consistency check on the judgment matrix to obtain the first matrix after passing the check; Multiplying the first matrix row by row to obtain a column vector; The column vector is squared and normalized to obtain the weight of the preset evaluation index.

4. The carbon emission level evaluation method for crude oil seaport terminal according to claim 1 is characterized in that: Determining the carbon emission level of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators includes: Calculating a score for the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators; Based on the scores, the carbon emission level of the crude oil seaport terminal is determined.

5. The carbon emission level evaluation method for crude oil seaport terminal according to claim 4 is characterized in that: The step of calculating the score of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators includes: Normalizing the original matrix to obtain a second matrix; Performing square root dimensionless transformation on elements of the second matrix based on the weights to obtain a third matrix; Normalizing the third matrix to obtain a weight matrix; Determining the composite weight of the evaluation index data based on the weight matrix; Based on the original matrix and the composite weight, a score of the crude oil seaport terminal is obtained.

6. The carbon emission level evaluation method for crude oil seaport terminal according to claim 1 is characterized in that: The expression of carbon emission accounting amount is as follows: in, For carbon emission accounting, For emission source i The activity of the material, is the emission factor correction coefficient, For the i Kind of material j Emission factors of greenhouse gases, for j The global warming potential of greenhouse gases.

7. The carbon emission level evaluation method for crude oil seaport terminal according to claim 1 is characterized in that: The preset evaluation indicators include: Designed throughput capacity, effective berth utilization rate, actual berth loading and unloading volume, average loading and unloading efficiency, unit loading and unloading cost, total equivalent carbon emissions and total equivalent carbon emissions from non-traditional fossil energy.

8. A device for evaluating carbon emission levels at a crude oil seaport terminal, characterized in that: include: The first determination module is used to determine the carbon emission accounting amount based on the carbon emission accounting model and the emission factor correction coefficient; The carbon emission accounting model is constructed based on the accounting boundary and carbon emission sources of the crude oil seaport terminal; The second determination module is used to perform consistency check on the judgment matrix and determine the weights of the preset evaluation indicators; The judgment matrix is ​​determined based on the importance of the preset evaluation indicators; An establishment module is used to establish an original matrix based on evaluation index data corresponding to the crude oil seaport terminal; the evaluation index data includes the carbon emission accounting amount; The third determination module is used to determine the carbon emission level of the crude oil seaport terminal based on the original matrix and the weights of the preset evaluation indicators.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein, The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the method for evaluating the carbon emission level of a crude oil seaport terminal as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the carbon emission level evaluation method for crude oil seaport terminals as described in any one of claims 1 to 7.

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