A method, device and equipment for calculating the carbon footprint of products in the production stage of a petrochemical enterprise

Abstract

The application discloses a petrochemical enterprise production stage product carbon footprint calculation method, device and equipment. The calculation method adopts a "raw material pool" mode to classify data, then calculates the carbon emission coefficient of each raw material pool and the proportion coefficient of the raw material pool, and finally calculates the petrochemical enterprise production stage product carbon footprint. The calculation method greatly simplifies the originally complex and tedious tracing process of a single device, avoids the deviation caused by complex data analysis, and more simply, efficiently and accurately realizes the accounting of all product carbon footprints of petrochemical enterprise products.

Description

Technical Field

[0001] This invention relates to the field of energy conservation and emission reduction metering technology, specifically to a method, apparatus, and equipment for calculating the carbon footprint of products during the production stage of petrochemical enterprises. Background Technology

[0002] A carbon footprint refers to the collection of greenhouse gas emissions caused by a business, organization, activity, product, or individual. All greenhouse gas emissions are typically represented by CO2e. Carbon footprint accounting serves as the foundation for all carbon neutrality efforts, demonstrating the low-carbon and green advantages of products, technologies, and businesses, and is a crucial support tool for new products and technologies entering the market.

[0003] CN107451387A discloses a method for measuring the carbon footprint of petrochemical products. The method includes: obtaining a carbon footprint model of the petrochemical product from its entire life cycle; establishing a carbon footprint measurement model based on the entire life cycle process, petrochemical product production technology, and greenhouse gas emissions from unit units; obtaining the values ​​and quantities of the parameters required in the carbon footprint measurement model and calculating the carbon emissions of the petrochemical product throughout its entire life cycle. This method aims to solve the problem of carbon footprint accounting for a single petrochemical product throughout its entire life cycle, but it cannot simultaneously achieve rapid identification of the carbon footprints of multiple products across the entire plant. Furthermore, this method requires detailed analysis of the material and energy flows of all unit units involved in the product production process, and involves very complex tracing of different components and different production processes. The complex production processes in the petrochemical industry easily lead to problems such as cumbersome calculations, data omissions, and deviations in calculation results. Summary of the Invention

[0004] To address the shortcomings of existing technologies, one objective of this invention is to provide a more efficient and accurate method for calculating the carbon footprint of products during the production stage of petrochemical enterprises, which can realize the rapid calculation of the carbon footprint of various petrochemical products across the entire plant. Another objective of this invention is to provide a device and equipment for calculating the carbon footprint of petrochemical enterprise products.

[0005] The first aspect of this invention is to provide a method for calculating the carbon footprint of products during the production stage of a petrochemical enterprise, comprising the following steps: S1 acquires material balance data for all production units in the plant, extracts the type and quantity of material entering and exiting each unit, and categorizes the same type of intermediate products produced by different units into a raw material pool. S2 calculates the carbon emission coefficient for each feedstock pool; S3 connects each raw material pool according to the production process and determines the proportion coefficient of each raw material pool; S4 calculates the carbon footprint of petrochemical companies' products during the production phase.

[0006] Furthermore, the production equipment mentioned in S1 refers to all equipment used in oil refining and chemical production, including one or more of the following: atmospheric and vacuum distillation units, catalytic cracking units, coking units, hydrocracking units, residue hydrotreating units, diesel hydrotreating units, diesel hydrotreating units, S-ZORB units, polyethylene units, polypropylene units, paraxylene units, and cracking units.

[0007] Furthermore, the method for calculating the carbon emission coefficient of the raw material pool described in S2 includes: S21 Calculate the greenhouse gas emissions for each unit unit; The calculation formula is:

[0008] In the formula, q i Energy consumption of the unit device; E i Carbon emission factors for each energy source; S22 Calculates the carbon emission coefficient of intermediate products; The calculation formula is:

[0009] In the formula, e n W represents the greenhouse gas emissions per unit unit; W represents the processing capacity of the unit unit. S23 Calculate the carbon emission coefficient of the feed pool; The calculation formula is:

[0010] In the formula, E ni Carbon emission coefficients for the same intermediate product produced by different unit units; w ni This represents the mass proportion of intermediate products from different sources in the raw material pool.

[0011] Furthermore, the energy consumption of the unit device described in S21 includes the consumption of one or more of the following energy sources or substances: fresh water, circulating water, demineralized water, deoxygenated water, electricity, steam, fuel gas, natural gas, nitrogen, and industrial air.

[0012] Furthermore, the energy carbon emission factors mentioned in S21 are fixed values, specifically: fresh water 0.0002 tCO2e / t, circulating water 0.0003 tCO2e / t, demineralized water 0.0009 tCO2e / t, deoxygenated water 0.0136 tCO2e / t, electricity 0.859 tCO2e / MWh, medium-pressure steam 0.4072 tCO2e / t, low-pressure steam 0.3516 tCO2e / t, fuel gas 3.0144 tCO2e / t, natural gas 2.1643 tCO2e / t, and nitrogen 0.0006 tCO2e / Nm³. 3Industrial wind 0.0001 tCO2e / Nm 3 .

[0013] Furthermore, in S22, the greenhouse gas emissions of intermediate products in the same unit are allocated according to mass ratio, so the emission coefficient of the unit is the carbon emission coefficient of each intermediate product.

[0014] Furthermore, the proportion coefficient of the raw material pool mentioned in S3 is represented by a, and it is determined as follows: if the downstream raw material pool is connected to only one upstream raw material pool, then the proportion coefficient of the upstream raw material pool is 1; if the downstream raw material pool is connected to multiple raw material pools, then the proportion coefficient of the upstream raw material pool is allocated according to the mass proportion of all upstream raw material pools.

[0015] Furthermore, the S4 formula for calculating a product's carbon footprint is:

[0016] In the formula, E n denoted as the carbon emission coefficient of the raw material pool; 'a' is the proportion coefficient of the raw material pool.

[0017] Another aspect of the present invention is to provide a computing device for implementing the aforementioned method for calculating the carbon footprint of petrochemical enterprise products.

[0018] Furthermore, the computing device includes: The data extraction and raw material pool construction module is used to obtain material balance data of the production unit, extract the infeed and outfeed types and quantities of each unit, and classify and build a raw material pool model based on the infeed and outfeed balance data of the production unit. The carbon emission coefficient calculation module is used to calculate the carbon emission coefficient of the raw material pool based on the energy consumption and processing volume data of the unit. The production process connection and proportional coefficient determination module is used to establish a raw material pool connection flowchart based on the upstream and downstream relationships of each raw material pool and determine the proportional coefficient of the raw material pool based on the production status of the target product. The carbon footprint calculation module is used to calculate the carbon footprint of products produced during the production phase of petrochemical enterprises.

[0019] Furthermore, the data extraction and calculation process of this computing device can be found in the detailed calculation method described above.

[0020] A third aspect of the present invention is to provide a calculation device for the carbon footprint of products in the production stage of a petrochemical enterprise, the device comprising: a memory, a processor, and a calculation program based on the aforementioned carbon footprint calculation method stored in the memory and executable on the processor, the calculation program being configured to implement the steps of the aforementioned calculation method.

[0021] The method provided by this invention can quickly and accurately calculate the carbon footprint of products during the production stage of petrochemical enterprises. By classifying data using a "raw material pool" approach, the originally complex and cumbersome traceability process for individual units is modularized, while avoiding deviations caused by complex data parsing. The method provided by this invention has a simpler, more efficient, and more accurate calculation process. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating the method for calculating the carbon footprint of petrochemical enterprise products used in this embodiment of the invention. Figure 2 This is a schematic diagram of the petrochemical product production process shown in an embodiment of the present invention; Figure 3 This is a schematic diagram of the calculation device for the carbon footprint of petrochemical enterprise products according to the present invention. Detailed Implementation

[0023] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0024] Example 1 like Figure 1 As shown in the figure, this embodiment provides a method for calculating the carbon footprint of products during the production stage of a petrochemical enterprise. The method includes the following steps: S1 acquires material balance data for all production units of a petrochemical enterprise, extracts the type and quantity of feed and discharge for each unit, and categorizes the same type of intermediate products produced by different units into a raw material pool. The production equipment involved in this embodiment includes an atmospheric and vacuum distillation unit, a catalytic cracking unit, a coking unit, a hydrocracking unit, a residue hydrotreating unit, a diesel hydrotreating unit, a diesel hydrotreating unit, and an S-ZORB unit. Due to the large number of units involved, this step uses the atmospheric and vacuum distillation unit as an example for material balance analysis; the method is the same for other units.

[0025] Based on the company's annual production process report, the material balance data for the atmospheric and vacuum distillation unit is as follows:

[0026] Following the same method, material balance data for each unit is provided, and intermediate products of the same type produced by different units are categorized and grouped into one raw material pool. In this embodiment, based on the material balance data of each unit, the intermediate products produced by each unit are grouped into 8 raw material pools, as follows: Feed Pool A: 1,458,983 tons of diesel fuel produced by the atmospheric and vacuum distillation unit, 182,716 tons of diesel fuel produced by the coking unit, 581,581 tons of diesel fuel produced by the catalytic cracking unit, and 325,400 tons of diesel fuel produced by the residue hydrotreating unit are included in Feed Pool A.

[0027] Raw material pool B: 1,480,451 tons of wax oil produced by the atmospheric and vacuum distillation unit and 219,533 tons of wax oil produced by the coking unit are included in raw material pool B.

[0028] Feed Pool C: 1,020,395 tons of residual oil produced by the atmospheric and vacuum distillation unit is included in Feed Pool C.

[0029] Raw material pool D: 960,931 tons of aviation kerosene produced by the atmospheric and vacuum distillation unit is included in raw material pool D.

[0030] Feed Pool E: 1,858,679 tons of gasoline produced by the catalytic cracking unit are included in Feed Pool E.

[0031] Feed Pool F: 1,493,971 tons of diesel product from the diesel hydrotreating unit, 244,691 tons of diesel product from the hydrocracking unit, and 339,481 tons of diesel product from the diesel hydrorefining unit are included in Feed Pool F.

[0032] Feed Pool G: 271,051 tons of gasoline produced by the diesel hydrotreating unit and 1,587,681 tons of gasoline produced by the S-ZORB unit are included in Feed Pool G.

[0033] Feed Pool H: 184,061 tons of jet fuel produced by the diesel hydrotreating unit, 197,592 tons of jet fuel produced by the hydrocracking unit, and 569,718 tons of jet fuel produced by the jet fuel hydrotreating unit are included in Feed Pool H.

[0034] S2 calculates the carbon emission coefficient for each feedstock pool; Since this step involves numerous calculation formulas, and the calculation methods for each raw material pool are basically the same, this step will use raw material pool A as an example to illustrate the calculation method. The calculation process includes: S21 Calculate the greenhouse gas emissions for each unit unit; The first step, based on S1, is to determine that the unit units included in feedstock pool A are atmospheric and vacuum distillation unit, coking unit, catalytic cracking unit, and residue hydrotreating unit.

[0035] The second step is to calculate the greenhouse gas emissions of the four devices mentioned above.

[0036] Since the calculation methods for each apparatus are basically the same, this step will use an atmospheric and vacuum distillation apparatus as an example to explain the calculation process.

[0037] The calculation formula is:

[0038] In the formula, q i Energy consumption of the unit device; E i These are the carbon emission factors for each energy source.

[0039] Furthermore, the energy consumption of the unit device mentioned in the formula includes the consumption of one or more of the following energy sources or substances: fresh water, circulating water, demineralized water, deoxygenated water, electricity, steam, fuel gas, natural gas, nitrogen, and industrial air.

[0040] Furthermore, the energy carbon emission factors mentioned in the formula are fixed values, specifically: fresh water 0.0002 tCO2e / t, circulating water 0.0003 tCO2e / t, demineralized water 0.0009 tCO2e / t, deoxygenated water 0.0136 tCO2e / t, electricity 0.859 tCO2e / MWh, medium-pressure steam 0.4072 tCO2e / t, low-pressure steam 0.3516 tCO2e / t, fuel gas 3.0144 tCO2e / t, natural gas 2.1643 tCO2e / t, and nitrogen 0.0006 tCO2e / Nm³. 3 Industrial wind 0.0001 tCO2e / Nm 3 .

[0041] The annual energy consumption of the atmospheric and vacuum distillation unit is shown in Table 1. Table 1 Energy Consumption Data of Atmospheric and Vacuum Distillation Unit

[0042] Furthermore, the greenhouse gas emissions from the atmospheric and vacuum distillation unit are: e n =25643×0.0002+15796855×0.0003+50912×0.0009+28795×0.859+3645×0.4072 +66821×0.3516+37276×3.0144+46628×0.0006+1917320×0.0001=167088tCO2e Furthermore, using the same method, the greenhouse gas emissions of the coking unit, catalytic cracking unit, and residue hydrotreating unit were calculated to be 90,181 tCO2e, 354,185 tCO2e, and 16,874 tCO2e, respectively.

[0043] S22 Calculates the carbon emission coefficient of intermediate products; The calculation formula is:

[0044] In the formula, e n W represents the greenhouse gas emissions per unit unit; W represents the processing capacity of the unit unit.

[0045] Furthermore, the intermediate products of the atmospheric and vacuum distillation unit are jet fuel, diesel fuel, wax oil, and residual oil, etc., and the carbon emission coefficients of these intermediate products are: Eni =167088 / 4925475=0.03392 tCO2e / t Furthermore, the intermediate products of the coking unit are diesel fuel, wax oil, etc., and the carbon emission coefficient of these intermediate products is: E ni =90181 / 402249=0.2242 tCO2e / t Furthermore, the intermediate products of the catalytic cracking unit are diesel fuel, gasoline fuel, etc., and the carbon emission coefficient of the intermediate products is: E ni =354185 / 2440260=0.1451 tCO2e / t Furthermore, the intermediate products of the residue hydrotreating unit are diesel fuel, gasoline fuel, etc., and the carbon emission coefficients of these intermediate products are: E ni =16874 / 325400=0.05186 tCO2e / t S23 Calculate the carbon emission coefficient of the feed pool; The calculation formula is:

[0046] In the formula, E ni Carbon emission coefficients for the same intermediate product produced by different unit units; w ni This represents the mass proportion of intermediate products from different sources in the raw material pool.

[0047] Furthermore, as indicated by S1, feedstock pool A includes 1,458,983 tons of diesel fuel produced by the atmospheric and vacuum distillation unit, 182,716 tons of diesel fuel produced by the coking unit, 581,581 tons of diesel fuel produced by the catalytic cracking unit, and 325,400 tons of diesel fuel produced by the residue hydrotreating unit, totaling 2,548,680 tons of diesel fuel.

[0048] Furthermore, the carbon emission coefficient of raw material pool A is calculated as follows: E n =0.03392×1458986 / 2548680+0.2242×182716 / 2548680+0.1451×581581 / 2548680+0.05186×325400 / 2548680=0.07522 tCO2e / t Furthermore, as described in S2, the carbon emission coefficients of raw material pool B, raw material pool C, raw material pool D, raw material pool E, raw material pool E, raw material pool F, raw material pool G, and raw material pool H were calculated using the same method to be 0.05849 tCO2e / t, 0.03392 tCO2e / t, 0.03392 tCO2e / t, 0.1451 tCO2e / t, 0.1587 tCO2e / t, 0.1082 tCO2e / t, and 0.07508 tCO2e / t.

[0049] S3 connects each raw material pool according to the production process and determines the proportion coefficient of each raw material pool; Connect the various raw material pools according to the production process, such as Figure 2 As shown, the proportion coefficients of each raw material pool are determined.

[0050] Furthermore, the proportion coefficient of the raw material pool mentioned in S3 is represented by a, and it is determined as follows: if the downstream raw material pool is connected to only one upstream raw material pool, then the proportion coefficient of the upstream raw material pool is 1; if the downstream raw material pool is connected to multiple raw material pools, then the proportion coefficient of the upstream raw material pool is allocated according to the mass proportion of all upstream raw material pools.

[0051] Furthermore, upstream of raw material pool A are two raw material pools, raw material pool B and raw material pool C. Therefore, the proportion coefficient of raw material pool B is a = 1699984 / 2720379 = 0.62, and the proportion coefficient of raw material pool C is a = 1020395 / 2720379 = 0.38. The remaining raw material pools are connected to only one upstream raw material pool. Therefore, the proportion coefficients of raw material pools A, D, E, F, G, and H are all 1.

[0052] S4 calculates the carbon footprint of a product during the manufacturing process using the following formula:

[0053] In the formula, E n denoted as the carbon emission coefficient of the raw material pool; 'a' is the proportion coefficient of the raw material pool.

[0054] Furthermore, the carbon footprint of the diesel product production stage is calculated as follows: F=0.05849×0.62+0.03392×0.38+0.07522×1+0.1587×1=0.2831 tCO2e / t; Furthermore, the carbon footprint of gasoline product production is calculated as follows: F=0.1451×1+0.1082×1=0.2533 tCO2e / t; Furthermore, the carbon footprint of the aviation kerosene production stage is calculated as follows: F=0.03392×1+0.07508×1=0.109 tCO2e / t.

[0055] Example 2 Embodiments of the present invention, such as Figure 3 As shown, a calculation device for the carbon footprint of petrochemical enterprise products is provided, the calculation device comprising: The data extraction and raw material pool construction module is used to obtain material balance data of the production unit, extract the infeed and outfeed types and quantities of each unit, and classify and build a raw material pool model based on the infeed and outfeed balance data of the production unit. The carbon emission coefficient calculation module is used to calculate the carbon emission coefficient of the raw material pool based on the energy consumption and processing volume data of the unit. The production process connection and proportional coefficient determination module is used to establish a raw material pool connection flowchart based on the upstream and downstream relationships of each raw material pool and determine the proportional coefficient of the raw material pool based on the production status of the target product. The carbon footprint calculation module is used to calculate the carbon footprint of different petrochemical products.

[0056] Since the carbon footprint calculation process and its beneficial effects have been described and explained in the previous embodiments, they can be referred to each other, and will not be repeated here. Example 3

[0057] This embodiment provides a device for calculating the carbon footprint of petrochemical enterprise products. The device includes: a memory, a processor, and a petrochemical enterprise product carbon footprint calculation program stored in the memory and executable on the processor. The calculation program is configured to implement the steps of the aforementioned petrochemical enterprise product carbon footprint calculation method and achieve the same technical effect.

[0058] The embodiments of the present invention can be implemented by means of software programs, that is, by writing programs to implement... Figure 1 The software program (and instruction set) for each step in the corresponding carbon emission calculation method is stored in a storage device located in a computer device, so that the processor of the computer device can call the software program to achieve the purpose of the embodiments of the present invention.

Claims

1. A method for calculating the carbon footprint of products during the production stage of a petrochemical enterprise, characterized in that, Includes the following steps: S1 acquires material balance data for all production units in the plant, extracts the type and quantity of material entering and exiting each unit, and categorizes the same type of intermediate products produced by different units into a raw material pool. S2 calculates the carbon emission factor for each feedstock tank; the calculation formula is: ； In the formula, E ni Carbon emission coefficients for the same intermediate product produced by different unit units; w ni The mass proportion of intermediate products from different sources in the raw material pool; S3 Connect each raw material pool according to the production process and determine the proportion coefficient of each raw material pool; the proportion coefficient of the raw material pool is represented by a, and it is determined as follows: if a downstream raw material pool is connected to only one upstream raw material pool, then the proportion coefficient of the upstream raw material pool is 1; if a downstream raw material pool is connected to multiple raw material pools, then the proportion coefficient of the upstream raw material pool is distributed according to the mass proportion of all upstream raw material pools. S4 calculates the carbon footprint of petrochemical companies' products during the production stage. Calculation formula include: ； In the formula, E n denoted as the carbon emission coefficient of the raw material pool; 'a' is the proportion coefficient of the raw material pool.

2. The calculation method according to claim 1, characterized in that, The production units mentioned in S1 refer to all units involved in oil refining and chemical production, including one or more of the following: atmospheric and vacuum distillation units, catalytic cracking units, coking units, hydrocracking units, residue hydrotreating units, diesel hydrotreating units, diesel hydrotreating units, S-ZORB units, polyethylene units, polypropylene units, paraxylene units, and cracking units.

3. The calculation method according to claim 1, characterized in that, The method for calculating the carbon emission coefficient of the feedstock pool mentioned in S2 includes: S21 Calculate the greenhouse gas emissions for each unit unit; The calculation formula is: ； In the formula, q i Energy consumption of the unit device; E i Carbon emission factors for each energy source; S22 Calculates the carbon emission coefficient of intermediate products; The calculation formula is: ； In the formula, e n W represents the greenhouse gas emissions per unit unit; W represents the processing capacity of the unit unit. S23 Calculate the carbon emission coefficient of the feed pool; The calculation formula is: ； In the formula, E ni Carbon emission coefficients for the same intermediate product produced by different unit units; w ni This represents the mass proportion of intermediate products from different sources in the raw material pool.

4. The calculation method according to claim 3, characterized in that, The energy consumption of the unit device described in S21 includes the consumption of one or more of the following energy sources or substances: fresh water, circulating water, demineralized water, deoxygenated water, electricity, steam, fuel gas, natural gas, nitrogen, and industrial air.

5. The calculation method according to claim 3, characterized in that, The energy carbon emission factors mentioned in S21 are fixed values, specifically: fresh water 0.0002 tCO2e / t, circulating water 0.0003 tCO2e / t, demineralized water 0.0009 tCO2e / t, deoxygenated water 0.0136 tCO2e / t, electricity 0.859 tCO2e / MWh, medium-pressure steam 0.4072 tCO2e / t, low-pressure steam 0.3516 tCO2e / t, fuel gas 3.0144 tCO2e / t, natural gas 2.1643 tCO2e / t, and nitrogen 0.0006 tCO2e / Nm³. 3 Industrial wind 0.0001tCO2e / Nm 3 .

6. A computing apparatus for implementing the computing method according to any one of claims 1-5.

7. The computing device according to claim 6, characterized in that, The computing device includes: The data extraction and raw material pool construction module is used to obtain material balance data of the production unit, extract the infeed and outfeed types and quantities of each unit, and classify and build a raw material pool model based on the infeed and outfeed balance data of the production unit. The carbon emission coefficient calculation module is used to calculate the carbon emission coefficient of the raw material pool based on the energy consumption and processing volume data of the unit. The production process connection and proportional coefficient determination module is used to establish a raw material pool connection flowchart based on the upstream and downstream relationships of each raw material pool and determine the proportional coefficient of the raw material pool based on the production status of the target product. The carbon footprint calculation module is used to calculate the carbon footprint of products produced during the production phase of petrochemical enterprises.

8. A device for calculating the carbon footprint of products during the production stage of a petrochemical enterprise, characterized in that, The device includes: a memory, a processor, and a calculation program stored in the memory and executable on the processor, based on the carbon footprint calculation method of any one of claims 1-5, the calculation program being configured to implement the steps of the aforementioned calculation method.

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