Carbon reduction effect testing methods and electronic equipment

Abstract

This invention discloses a method and electronic device for detecting carbon reduction effects, applied in the field of low-carbon technology. The method includes: determining a baseline value for the carbon footprint of molten iron and determining an average carbon reduction effect value for molten iron. The baseline value is the carbon footprint of molten iron produced in a blast furnace without the addition of scrap steel. The method also includes: obtaining the total amount of molten iron and the scrap steel ratio in the current blast furnace; obtaining the total carbon reduction of molten iron in the current blast furnace based on the total amount of molten iron, the scrap steel ratio, and the average carbon reduction effect value; and obtaining the carbon footprint of a specific product based on the total carbon reduction, the consumption of molten iron in the current blast furnace by a specific product, and the baseline value for the carbon footprint of molten iron. This invention solves the technical problem of detecting the carbon reduction effect in the production process of a specific product.

Description

Technical Field

[0001] This invention belongs to the field of low-carbon technology, and in particular relates to a method and electronic device for detecting carbon reduction effect. Background Technology

[0002] Various manufacturing industries will face unprecedented and enormous changes, and will also be significantly affected by carbon emission factors. More and more downstream users are demanding that upstream steel mills provide product carbon footprint reports, and even putting forward specific requirements for product carbon reduction.

[0003] The existing technologies have several problems: First, the assessment of the carbon footprint of steel products is limited to conventional production processes and uses average production data over a certain period, which cannot meet the needs of downstream users to test the carbon reduction effect of specific products. Second, the carbon reduction effect of adding scrap steel to blast furnaces is mostly based on the enterprise-level carbon reduction, increasing the iron production rate by adding scrap steel, thereby reducing the fuel ratio and achieving carbon reduction at the enterprise level. The detection of the carbon reduction effect is rough and not precise enough. Summary of the Invention

[0004] This invention provides a method and equipment for detecting carbon reduction effects, enabling the detection of carbon reduction effects in the production process of specific products, thereby solving the technical problem of insufficient accuracy in detecting carbon reduction effects.

[0005] In a first aspect, embodiments of the present invention provide a method for detecting carbon reduction effect, comprising: determining a baseline value for the carbon footprint of molten iron, and determining an average carbon reduction effect value for molten iron, wherein the baseline value for the carbon footprint of molten iron is the carbon footprint of molten iron in a scenario where no scrap steel is added during the blast furnace molten iron production process; obtaining the total amount of molten iron and the scrap steel ratio in the current blast furnace, wherein the scrap steel ratio refers to the ratio of scrap steel to molten iron in the current blast furnace; obtaining the total carbon reduction amount of molten iron in the current blast furnace based on the total carbon reduction amount of molten iron, the scrap steel ratio, and the average carbon reduction effect value of molten iron; and obtaining the carbon footprint of the molten iron of the specific product based on the total carbon reduction amount of molten iron, the consumption of molten iron in the current blast furnace by a specific product, and the baseline value for the carbon footprint of molten iron.

[0006] In conjunction with the first aspect of the present invention, in some embodiments, obtaining the molten iron carbon footprint of a specific product based on the total carbon reduction of the molten iron, the consumption of molten iron by a specific product in the current blast furnace, and the molten iron carbon footprint benchmark value includes: allocating all the total carbon reduction of the molten iron to the specific product to obtain the carbon reduction effect value of the specific product; and determining the molten iron carbon footprint of the specific product based on the difference between the molten iron carbon footprint benchmark value and the carbon reduction effect value of the specific product.

[0007] In conjunction with the first aspect of the present invention, in some embodiments, determining the baseline value of molten iron carbon footprint includes: obtaining a first unit production amount of by-products and a first unit consumption amount of materials and energy, wherein the first unit production amount of by-products and the first unit consumption amount of materials and energy are statistical data corresponding to a first group of blast furnaces, wherein the first group of blast furnaces are each blast furnace that completes the molten iron production process without adding scrap steel within a first preset time period; determining a first carbon recovery amount and a first carbon emission amount within the first preset time period based on the first unit production amount of by-products and the first unit consumption amount of materials and energy; and determining the molten iron carbon footprint under the scenario without adding scrap steel based on the difference between the first carbon recovery amount and the first carbon emission amount, as the baseline value of molten iron carbon footprint.

[0008] In conjunction with the first aspect of the present invention, in some embodiments, after determining the baseline value of the molten iron carbon footprint, the method further includes: obtaining a second unit production amount of by-products and a second unit consumption amount of materials and energy, wherein the second unit production amount of by-products and the second unit consumption amount of materials and energy are statistical data corresponding to each blast furnace in the second group of blast furnaces, and the second group of blast furnaces are each blast furnace that completes the molten iron production process of adding scrap steel within the second preset time period; determining a second carbon recovery amount and a second carbon emission amount within the second preset time period based on the second unit production amount of by-products and the second unit consumption amount of materials and energy; and determining the molten iron carbon footprint under the scrap steel addition scenario based on the difference between the second carbon recovery amount and the second carbon emission amount, as a sample value of the first group of molten iron carbon footprint samples, wherein the first group of molten iron carbon footprint samples includes the molten iron carbon footprint of each blast furnace in the second group of blast furnaces under different scrap steel ratio scenarios.

[0009] In conjunction with the first aspect of the present invention, in some embodiments, obtaining the first unit production amount of the by-product includes: for each type of by-product, obtaining the activity coefficient and emission coefficient of the by-product, and obtaining the first unit production amount of the by-product based on the activity coefficient and emission coefficient of the by-product, wherein the first unit production amount of the by-product is a value among the first unit production amounts of the by-product.

[0010] In conjunction with the first aspect of the present invention, in some embodiments, obtaining the first unit consumption of material energy includes: for each type of material energy, obtaining the activity coefficient and emission coefficient of the material energy, and obtaining the first unit consumption of the material energy based on the activity coefficient and emission coefficient of the material energy, wherein the first unit consumption of the material energy is a value among the first unit consumption of material energy.

[0011] In conjunction with the first aspect of the present invention, in some embodiments, determining the average carbon reduction effect value of molten iron includes: obtaining a second set of molten iron carbon footprint samples; determining the average carbon reduction effect of the molten iron based on the information of the second set of molten iron carbon footprint samples and the molten iron carbon footprint benchmark value, wherein the information of the second set of molten iron carbon footprint samples includes the number of samples, different scrap steel ratios, and the molten iron carbon footprint under the different scrap steel ratio scenarios.

[0012] In conjunction with the first aspect of the present invention, in some embodiments, obtaining the second set of molten iron carbon footprint samples includes: removing outliers from the first set of molten iron carbon footprint samples to obtain the second set of molten iron carbon footprint samples.

[0013] In conjunction with the first aspect of the present invention, in some embodiments, after obtaining the carbon footprint of the molten iron of the specific product, the method further includes: sequentially substituting the carbon footprint of the molten iron of the specific product into each production process after the blast furnace smelting process, and iteratively obtaining the final carbon footprint of the specific product.

[0014] In a second aspect, embodiments of the present invention provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in any one of the first aspects.

[0015] The one or more technical solutions provided in the embodiments of the present invention achieve at least the following technical effects or advantages:

[0016] The carbon reduction effect detection method provided in this invention includes: determining a baseline value for the carbon footprint of molten iron and determining an average carbon reduction effect value for molten iron. The baseline value for the carbon footprint of molten iron is the carbon footprint of molten iron in the blast furnace production process without the addition of scrap steel. The method also includes: obtaining the total amount of molten iron and the scrap steel ratio in the current blast furnace; obtaining the total carbon reduction amount of molten iron in the current blast furnace based on the total amount of molten iron, the scrap steel ratio, and the average carbon reduction effect value; and obtaining the carbon footprint of a specific product based on the total carbon reduction amount of molten iron, the consumption of molten iron in the current blast furnace by a specific product, and the baseline value for the carbon footprint of molten iron. By analyzing the relevant production data of a specific product in the current blast furnace under the scenario of adding scrap steel, the carbon footprint of the specific product can be obtained. Therefore, the carbon emission situation of the specific product during the production process under the scenario of adding scrap steel can be known, thus realizing the detection of the carbon reduction effect of the production process of the specific product. This solves the technical problem of insufficient accuracy in carbon reduction effect detection and provides downstream users with more reliable product environmental performance indicators. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of the carbon reduction effect detection method in an embodiment of the present invention;

[0019] Figure 2 This is a schematic diagram illustrating the specific production process of the general-purpose refrigerated product in an embodiment of the present invention;

[0020] Figure 3 This is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0022] In this invention, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature. Furthermore, the technical solutions of the various embodiments can be combined with each other, but only on the basis of being achievable by those skilled in the art. If the combination of technical solutions is contradictory or impossible to implement, such a combination of technical solutions should be considered non-existent and not within the scope of protection claimed by this invention.

[0023] This invention provides a method for detecting carbon reduction effects, referring to... Figure 1 As shown, the method includes the following steps S101 to S104:

[0024] S101: Determine the baseline value for the carbon footprint of molten iron, and determine the average carbon reduction effect value of molten iron. The baseline value for the carbon footprint of molten iron is the carbon footprint of molten iron in the blast furnace production process without the addition of scrap steel.

[0025] It should be noted that carbon footprint refers to the collection of greenhouse gas emissions caused by a business, organization, activity, product, or individual. The carbon footprint of molten iron refers to the mass number of carbon emissions generated per ton of molten iron produced.

[0026] It should be noted that the baseline value for the carbon footprint of molten iron refers to the mass of carbon emissions generated per ton of molten iron produced during the blast furnace process, assuming no scrap steel is added. Furthermore, the raw data for calculating the baseline value for the carbon footprint of molten iron is obtained from the blast furnace process. The blast furnace process specifically includes the main processes involved in blast furnace molten iron production, such as sintering and coking, as well as auxiliary processes such as power generation, steam generation, industrial water production, air separation, and gas treatment. The raw data collection categories include by-products, raw materials, auxiliary materials, and energy media.

[0027] It should be noted that the steel production process includes other steps besides the blast furnace process, as detailed in the reference. Figure 2 As shown, taking cold-rolled steel products as an example, the production process of cold-rolled steel products includes roasting, converter, hot rolling, pickling and annealing, in addition to the blast furnace process.

[0028] It should be noted that the average carbon reduction effect of molten iron refers to the reduction in carbon emissions by adding 100 kg of scrap steel to each ton of blast furnace molten iron.

[0029] It is understandable that the method for determining the baseline value of the carbon footprint of molten iron includes the following steps S1011 to S1013:

[0030] S1011: Obtain the first unit production of by-products and the first unit consumption of materials and energy. The first unit production of by-products and the first unit consumption of materials and energy are the statistical data corresponding to the first group of blast furnaces. The first group of blast furnaces are each blast furnace that completes the iron production process without adding scrap steel within the first preset time period.

[0031] It should be noted that the first preset time period can be one day, one week, or one month. The first group of blast furnaces refers to all blast furnaces that complete the iron production process without adding scrap steel within the first preset time period. The first group of blast furnaces does not refer to a simple combination of several blast furnaces, but rather to different blast furnaces within the first preset time period that complete the iron production process at different times. For example, if blast furnace a completes two iron production processes within the first preset time period, then blast furnace a corresponding to these two iron production processes should be recorded as two different blast furnaces in the first group of blast furnaces.

[0032] It should be noted that by-products refer to products other than blast furnace molten iron produced during the blast furnace iron production process, which may include blast furnace slag, blast furnace gas, electricity, and blast furnace ash.

[0033] It should be noted that material energy refers to the materials and energy input during the blast furnace iron production process. The categories of material energy include raw materials, auxiliary materials, and energy media. Specifically, raw materials may include metallurgical coke, sintered ore, or concentrate; auxiliary materials may include dolomite or limestone; and energy media may include electricity, low-pressure steam, or blast air.

[0034] Understandably, the method for obtaining the first unit production of a by-product can be as follows: for each type of by-product, obtain the activity coefficient and emission coefficient of that by-product, and based on the activity coefficient and emission coefficient of that by-product, obtain the first unit production of that by-product, where the first unit production of that by-product is one of the values ​​of the first unit production of the by-product.

[0035] The activity coefficient refers to the material and energy consumed or the byproducts generated during the production of one ton of blast furnace hot metal. Referring to Table 1 as an example, assuming Table 1 contains statistical data on the blast furnace hot metal production process without the addition of scrap steel, the activity coefficient of electricity as the energy medium is A (unit: kWh / t), representing the electricity consumed (A units: kWh) per ton (unit: t) of blast furnace hot metal produced. The activity coefficient of blast furnace gas as a byproduct is C (unit: m³ / t). 3 / t), representing the amount of C (unit: m) produced per ton (t) of molten iron during the blast furnace production process. 3 ) Blast furnace gas.

[0036] The emission factor refers to the mass number of carbon emissions generated per unit of energy during the combustion or use of each type of energy. For example, referring to Table 1, assuming that Table 1 is statistical data under the scenario of no scrap steel being added during the production of molten iron in a blast furnace, the emission factor of electricity in the energy medium is M (unit: kg / kwh), which means that the mass number of carbon emissions per kilowatt-hour (unit: kwh) of electricity used is M (unit: kg).

[0037] Table 1:

[0038] category name Activity coefficient Emission coefficient Energy medium electricity A kwh / t M kg / kwh Energy medium low-pressure steam B kg / t N kg / kg raw materials Metallurgical coke D kg / t P kg / kg raw materials Sintered ore E kg / t Q kg / kg auxiliary materials dolomite G kg / t S kg / kg auxiliary materials limestone H kg / t T kg / kg by-products Blast furnace gas <![CDATA[C m 3 / t]]> <![CDATA[U kg / m 3 ]]> by-products electricity J kwh / t V kg / kwh

[0039] It should be noted that the first unit production of by-products refers to the amount of carbon recovered per ton of molten iron produced due to the generation of by-products. In other words, the first unit production of by-products refers to the amount of carbon recovered per ton of molten iron produced due to the generation of that specific by-product. For example, referring to Table 1, assuming Table 1 contains statistical data on blast furnace molten iron production without the addition of scrap steel, and assuming that all by-products are only those listed in Table 1, then the first unit production of by-products includes the first unit production of blast furnace gas and the first unit production of electricity. The first unit production of blast furnace gas is C×U (unit: kg / t), and the first unit production of electricity is J×V (unit: kg / t).

[0040] It is understandable that the method for obtaining the first unit consumption of material energy can be: for each type of material energy, obtain the activity coefficient and emission coefficient of the material energy, and obtain the first unit consumption of the material energy based on the activity coefficient and emission coefficient of the material energy, where the first unit consumption of the material energy is one of the values ​​of the first unit consumption of material energy.

[0041] It should be noted that the first unit consumption of material energy refers to the carbon emissions generated by the consumption of material energy in the production of each ton of molten iron. In other words, the first unit consumption of material energy refers to the carbon emissions generated by the consumption of the material energy in the production of each ton of molten iron. For example, referring to Table 1, assuming that Table 1 contains statistical data on the production of molten iron in a blast furnace without the addition of scrap steel, and assuming that all consumed material energy is only the material energy listed in Table 1, then the first unit consumption of material energy includes the first unit consumption of electricity, the first unit consumption of low-pressure steam, the first unit consumption of metallurgical coke, the first unit consumption of sintered ore, the first unit consumption of dolomite, and the first unit consumption of limestone. Among them, the first unit consumption of electricity is A×M (unit: kg / t), the first unit consumption of low-pressure steam is B×N (unit: kg / t), the first unit consumption of metallurgical coke is D×P (unit: kg / t), the first unit consumption of sintered ore is E×Q (unit: kg / t), the first unit consumption of dolomite is G×S (unit: kg / t), and the first unit consumption of limestone is H×T (unit: kg / t).

[0042] S1012: Determine the first carbon recovery amount and the first carbon emission amount within the first preset time period based on the first unit production amount of by-products and the first unit consumption amount of materials and energy.

[0043] The first carbon recovery amount refers to the sum of carbon recovered per ton of molten iron during the production process due to the generation of all by-products, including the sum of the first unit production of all by-products. Referring to Table 1, assuming that Table 1 is the statistical data of the blast furnace molten iron production process without the addition of scrap steel, and assuming that all consumed materials and energy are only those listed in Table 1, and all by-products are only those listed in Table 1, then the first carbon recovery amount is C×U+J×V (unit: kg / t), that is, C×U+J×V (unit: kg) carbon is recovered per ton (unit: t) of blast furnace molten iron during the production process.

[0044] The first carbon emission refers to the sum of carbon emissions generated per ton of molten iron produced due to the consumption of all materials and energy, including the sum of the first unit production of all materials and energy. Referring to Table 1, assuming that Table 1 is the statistical data of the blast furnace molten iron production process without the addition of scrap steel, and assuming that all consumed materials and energy are only those listed in Table 1, and all by-products are only those listed in Table 1, then the first carbon emission is A×M+B×N+D×P+E×Q+G×S+H×T (unit: kg / t), that is, A×M+B×N+D×P+E×Q+G×S+H×T (unit: kg) of carbon is emitted per ton (unit: t) of blast furnace molten iron produced.

[0045] S1013: Based on the difference between the first carbon recovery and the first carbon emission, determine the carbon footprint of molten iron in the scenario without adding scrap steel, and use it as the benchmark value for the carbon footprint of molten iron.

[0046] Referring to Table 1, assuming that Table 1 contains statistical data on the production of molten iron in a blast furnace without the addition of scrap steel, and assuming that all consumed materials and energy are only those listed in Table 1, and all by-products are only those listed in Table 1, then the baseline value for the carbon footprint of molten iron can be: A×M+B×N+D×P+E×Q+G×S+H×T-(C×U+J×V) (unit: kg / t).

[0047] Specifically, the baseline value C for the carbon footprint of molten iron. I0 The calculation formula (unit: kg / t) can be as follows:

[0048]

[0049] Where k=1 represents the blast furnace process, and the remaining symbols and definitions are shown in Table 2. It should be noted that the reference value C for the carbon footprint of molten iron is... I0 The activity coefficient and emission coefficient in the calculation formula are statistical data under the scenario of no scrap steel.

[0050] Table 2:

[0051]

[0052]

[0053] It should be noted that in order to determine the average carbon reduction effect of molten iron, in addition to determining the baseline value of molten iron carbon footprint under the scenario of no scrap steel, it is also necessary to determine the carbon footprint of molten iron under different scrap steel ratio scenarios.

[0054] Understandably, the method for determining the carbon footprint of molten iron under different scrap ratio scenarios includes the following steps S1014~S1016:

[0055] S1014: Obtain the second unit production of by-products and the second unit consumption of materials and energy. The second unit production of by-products and the second unit consumption of materials and energy are the statistical data corresponding to each blast furnace in the second group of blast furnaces. The second group of blast furnaces refers to each blast furnace that completes the process of adding scrap steel to produce molten iron within the second preset time period.

[0056] It should be noted that the second preset time period can be one day, one week, or one month. The second group of blast furnaces refers to all blast furnaces that complete the iron production process by adding scrap steel within the second preset time period. The second group of blast furnaces does not refer to a simple combination of several blast furnaces, but rather to different blast furnaces within the second group that complete the iron production process at different times within the second preset time period. For example, if blast furnace b completes two iron production processes within the second preset time period, then blast furnace b corresponding to these two iron production processes should be recorded as two different blast furnaces in the second group of blast furnaces.

[0057] S1015: Determine the second carbon recovery amount and the second carbon emission amount within the second preset time period based on the second unit production amount of by-products and the second unit consumption amount of materials and energy.

[0058] S1016: Based on the difference between the second carbon recovery and the second carbon emissions, determine the carbon footprint of molten iron under the scrap steel addition scenario, and use it as a sample value of the first group of molten iron carbon footprint samples. The first group of molten iron carbon footprint samples includes the carbon footprint of molten iron of each blast furnace in the second group under different scrap steel ratio scenarios.

[0059] Specifically, the carbon footprint of molten iron (C) I1 This is the first sample value of the first group of molten iron carbon footprint samples, calculated using the following formula:

[0060]

[0061] Where k=1 represents the blast furnace process, and the other symbols and definitions are referenced in Table 2. It should be noted that the activity coefficient and emission coefficient in the calculation formula of the molten iron carbon footprint CIi are statistical data under the scenario of adding scrap steel.

[0062] It should be noted that the baseline value of the molten iron carbon footprint under the scenario of no scrap steel added, determined in steps S1011 to S1013, is a single value, while the first group of molten iron carbon footprint samples determined in steps S1014 to S1016 contains multiple values, that is, the molten iron carbon footprint of each blast furnace under different scrap steel ratio scenarios.

[0063] It is understandable that steps S1011-S1013 and steps S1014-S1016 respectively determine the baseline value of molten iron carbon footprint and the first group of molten iron carbon footprint samples. Therefore, the method for determining the average carbon reduction effect of molten iron based on the baseline value of molten iron carbon footprint and the first group of molten iron carbon footprint samples includes the following steps S1017-S1018:

[0064] S1017: Obtain the second set of molten iron carbon footprint samples;

[0065] Understandably, the method for obtaining the second set of molten iron carbon footprint samples is as follows:

[0066] Outliers in the first group of molten iron carbon footprint samples were removed to obtain the second group of molten iron carbon footprint samples.

[0067] S1018: Based on the information of the second group of molten iron carbon footprint samples and the baseline value of molten iron carbon footprint, determine the average carbon reduction effect of molten iron. The information of the second group of molten iron carbon footprint samples includes the number of samples, different scrap ratios, and molten iron carbon footprint under different scrap ratio scenarios.

[0068] Average carbon reduction effect of molten iron C δ The calculation formula (unit: kg / t) can include the following two embodiments:

[0069] Example 1:

[0070]

[0071] For specific symbols and their meanings, please refer to Table 2 above.

[0072] Example 2:

[0073] Based on the formula in Example 1, a correction value is added to adjust the average carbon reduction effect of molten iron. The magnitude of the correction value is adjusted according to the current blast furnace operation.

[0074] After step S101, step S102 is also included: obtaining the total amount of molten iron and the scrap ratio in the current blast furnace. The scrap ratio refers to the ratio of scrap steel to molten iron in the current blast furnace.

[0075] S103: Based on the total amount of molten iron, the scrap steel ratio, and the average carbon reduction effect of molten iron, the total carbon reduction of molten iron in the current blast furnace is obtained.

[0076] It should be noted that the total carbon reduction of molten iron refers to the total mass of carbon emissions reduced during the molten iron production process after the addition of scrap steel to the current blast furnace.

[0077] Specifically, the total carbon reduction C in molten iron in the current blast furnace t The calculation formula (unit: kg) can include the following two embodiments:

[0078] Example 1:

[0079] C t =C δ ×r×m÷100

[0080] Where m (unit: t) is the total amount of molten iron in the blast furnace, r is the scrap steel ratio in the blast furnace, and C δ (Unit: kg / t) represents the average carbon reduction effect of molten iron.

[0081] Example 2:

[0082] Based on the formula in Example 1, a correction value is added to adjust the total carbon reduction of the molten iron. The magnitude of the correction value is adjusted according to the current blast furnace operation.

[0083] S104: Based on the total carbon reduction of molten iron, the consumption of molten iron in the current blast furnace by a specific product, and the baseline value of molten iron carbon footprint, the molten iron carbon footprint of a specific product is obtained.

[0084] It should be noted that molten iron from blast furnaces can be used to produce many products; a specific product refers to one designated product among many. (Reference) Figure 2 As shown, a specific product can refer to a general refrigerated product.

[0085] Understandably, the method for obtaining the carbon footprint of a specific product's molten iron based on the total carbon reduction of molten iron, the consumption of molten iron in the current blast furnace for a specific product, and the baseline value of molten iron carbon footprint includes the following steps S1041~S1042:

[0086] S1041: By allocating the total carbon reduction of molten iron to a specific product, the carbon reduction effect value of the specific product is obtained.

[0087] It should be noted that the carbon reduction effect value refers to the mass number of carbon emissions reduced per ton of molten iron produced.

[0088] Specifically, assume that all the molten iron in the blast furnace is used to produce three products: Product 1, Product 2, and Product 3. The total amount of molten iron consumed in producing each product is m1 (t), m2 (t), and m3 (t), respectively. Assume that Product 1 is a specific product, and the total carbon reduction of the molten iron is C. t (Unit: kg) Then the carbon reduction effect value C of a specific product δ1 (Unit: kgt / t) is:

[0089] C δ1 =C t ÷m1

[0090] S1042: Determine the carbon footprint of a specific product based on the difference between the baseline value of the carbon footprint of molten iron and the carbon reduction effect value of the specific product.

[0091] Understandably, determining the carbon footprint of a specific product based on the difference between the baseline carbon footprint of molten iron and the carbon reduction effect value of that specific product can be achieved by subtracting the carbon reduction effect value of the specific product from the baseline carbon footprint of molten iron. Let's assume the carbon reduction effect value of the specific product is C. δ1 (Unit: kgt / t), the baseline value for the carbon footprint of molten iron is C. I0 (Unit: kgt / t) Then, the carbon footprint C of molten iron for a specific product I (Unit: kgt / t) is:

[0092] C I ′=C I0 -C δ1

[0093] It should be noted that the reference Figure 2 As shown, steps S101 to S104 specifically involve obtaining the carbon footprint of the molten iron for a specific product during the blast furnace process. Subsequent processes include roasting, converter, hot rolling, pickling, and annealing. Each process involves certain carbon emissions. Therefore, to calculate the final carbon footprint of a specific product, step S1043 is also required.

[0094] S1043: Substitute the carbon footprint of molten iron for a specific product into each production process after the blast furnace smelting process, and iterate step by step to obtain the final carbon footprint of the specific product.

[0095] Specifically, the carbon footprint C of a particular product after the converter process. I2 The calculation method is as follows:

[0096]

[0097] Where k=1 represents the blast furnace process, k=2 represents the converter process, and the remaining symbols and interpretations can be found in Table 2 above.

[0098] Specifically, the carbon footprint C of a particular product after the hot rolling process. I3 The calculation method is as follows:

[0099]

[0100] In this table, k=1 represents the blast furnace process, k=2 represents the converter process, and k=3 represents the hot rolling process. For other symbols and their meanings, please refer to Table 2 above.

[0101] Specifically, the carbon footprint C of a particular product after the pickling and rolling process. I4 The calculation method is as follows:

[0102]

[0103] In this table, k=1 represents the blast furnace process, k=2 represents the converter process, k=3 represents the hot rolling process, and k=4 represents the pickling process. The remaining symbols and their meanings can be found in Table 2 above.

[0104] Specifically, the carbon footprint C of a particular product after the annealing process. I5 The calculation method is as follows:

[0105]

[0106] In this table, k=1 represents the blast furnace process, k=2 represents the converter process, k=3 represents the hot rolling process, k=4 represents the pickling process, and k=5 represents the annealing process. The remaining symbols and their meanings can be found in Table 2 above.

[0107] It should be noted that the carbon footprint C of a specific product after the annealing process... I5 It refers to the final carbon footprint of a specific product.

[0108] The carbon reduction effect detection method provided by the above embodiments of the present invention enables the analysis of relevant production data of a specific product under the current blast furnace with the addition of scrap steel to obtain the carbon footprint of the molten iron of the specific product. Therefore, it is possible to know the carbon emission situation of the specific product during the production process under the addition of scrap steel, thereby realizing the detection of the carbon reduction effect of the production process of the specific product, solving the technical problem of insufficient accuracy in carbon reduction effect detection, and providing downstream users with more reliable product environmental performance indicators.

[0109] Based on the same inventive concept, embodiments of the present invention also provide an electronic device, such as... Figure 3 As shown, it includes a memory 304, a processor 302, and a computer program stored in the memory 304 and capable of running on the processor 302. The processor 302 executes the program to implement the steps described in any embodiment of the carbon reduction effect detection method.

[0110] Among them, Figure 3In this document, a bus architecture (represented by bus 300) is used. Bus 300 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 can be used to store data used by processor 302 during operation.

[0111] This invention analyzes relevant production data of a specific product in a blast furnace under the scenario of adding scrap steel to obtain the carbon footprint of the molten iron for that specific product. Therefore, it can be known that the carbon emissions of the specific product during the production process under the scenario of adding scrap steel can be determined. This enables the detection of the carbon reduction effect of the production process of the specific product, solves the technical problem of insufficient accuracy in the detection of carbon reduction effect, and provides downstream users with more reliable product environmental performance indicators.

[0112] The functions described herein can be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions can be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and embodiments are within the scope and spirit of this invention and the appended claims. For example, due to the nature of software, the functions described above can be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Furthermore, the functional units can be integrated into a single processing unit, or each unit can exist physically separately, or two or more units can be integrated into a single unit.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0114] The units described as separate components may or may not be physically separate. Similarly, the components of the control device may or may not be physical units; they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0115] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0116] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method for detecting carbon reduction effect, characterized in that, include: Determine the baseline value of the carbon footprint of molten iron and the average carbon reduction effect value of molten iron. The baseline value of the carbon footprint of molten iron is the carbon footprint of molten iron in the scenario of no scrap steel being added during the blast furnace molten iron production process. The determination of the average carbon reduction effect value of molten iron includes: obtaining the second unit production amount of by-products and the second unit consumption amount of materials and energy, wherein the second unit production amount of by-products and the second unit consumption amount of materials and energy are statistical data corresponding to each blast furnace in the second group of blast furnaces, and the second group of blast furnaces consists of each blast furnace that completes the molten iron production process of adding scrap steel within a second preset time period; determining the second carbon recovery amount and the second carbon emission amount within the second preset time period based on the second unit production amount of by-products and the second unit consumption amount of materials and energy; and determining the second carbon recovery amount and the second carbon emission amount based on the second carbon recovery amount and the second carbon emission amount. The differences between the samples were used to determine the carbon footprint of molten iron under the scrap steel addition scenario, which was then used as a sample value of the first group of molten iron carbon footprint samples. The first group of molten iron carbon footprint samples included the carbon footprint of molten iron for each blast furnace in the second group under different scrap steel ratio scenarios. Outliers in the first group of molten iron carbon footprint samples were removed to obtain the second group of molten iron carbon footprint samples. Based on the information of the second group of molten iron carbon footprint samples and the baseline value of the molten iron carbon footprint, the average carbon reduction effect value of the molten iron was determined. The information of the second group of molten iron carbon footprint samples included the number of samples, different scrap steel ratios, and the carbon footprint of molten iron under the different scrap steel ratio scenarios. Obtain the total amount of molten iron and the scrap ratio in the current blast furnace, wherein the scrap ratio refers to the ratio of scrap steel to molten iron in the current blast furnace; Based on the total amount of molten iron, the scrap steel ratio, and the average carbon reduction effect of the molten iron, the total carbon reduction of the molten iron in the current blast furnace is obtained; Based on the total carbon reduction of the molten iron, the consumption of molten iron in the current blast furnace by a specific product, and the molten iron carbon footprint benchmark value, the molten iron carbon footprint of the specific product is obtained, including: allocating all the total carbon reduction of the molten iron to the specific product to obtain the carbon reduction effect value of the specific product; and determining the molten iron carbon footprint of the specific product based on the difference between the molten iron carbon footprint benchmark value and the carbon reduction effect value of the specific product. The average carbon reduction effect of the molten iron, the total carbon reduction of the molten iron, and the carbon reduction effect of the specific product are referenced by the following formulas: ； ； ； Among them, C δ This represents the average carbon reduction effect value of molten iron. As a benchmark value for the carbon footprint of molten iron, This represents the carbon footprint of molten iron corresponding to the scrap ratio of the i-th sample in the second group of molten iron carbon footprint samples. Let be the scrap ratio of the i-th sample in the second group of molten iron carbon footprint samples, n be the number of samples in the second group of molten iron carbon footprint samples; m be the total amount of molten iron in the current blast furnace; r be the scrap ratio of the current blast furnace, and C be the total scrap ratio of the blast furnace. δ1 C represents the carbon reduction effect value for a specific product. t m1 represents the total carbon reduction of molten iron; m2 represents the total amount of molten iron consumed in the production of a specific product.

2. The carbon reduction effect detection method according to claim 1, characterized in that, The determination of the carbon footprint benchmark value for molten iron includes: The first unit production of by-products and the first unit consumption of materials and energy are obtained. The first unit production of by-products and the first unit consumption of materials and energy are statistical data corresponding to the first group of blast furnaces. The first group of blast furnaces are each blast furnace that completes the iron production process without adding scrap steel within a first preset time period. Based on the first unit production of the by-product and the first unit consumption of the material energy, determine the first carbon recovery amount and the first carbon emission amount within the first preset time period. Based on the difference between the first carbon recovery amount and the first carbon emission amount, the carbon footprint of molten iron under the scenario of no scrap steel addition is determined as the benchmark value of the carbon footprint of molten iron.

3. The carbon reduction effect detection method according to claim 2, characterized in that, The first unit production quantity of the by-product includes: For each type of by-product, the activity coefficient and emission coefficient of the by-product are obtained, and the first unit production amount of the by-product is obtained based on the activity coefficient and emission coefficient of the by-product.

4. The carbon reduction effect detection method according to claim 2, characterized in that, The first unit consumption of the energy obtained from the materials includes: For each type of material energy, the activity coefficient and emission coefficient of the material energy are obtained, and the first unit consumption of the material energy is obtained based on the activity coefficient and emission coefficient of the material energy.

5. The carbon reduction effect detection method according to claim 1, characterized in that, After obtaining the carbon footprint of the molten iron for the specific product, the process further includes: The carbon footprint of the molten iron for the specific product is sequentially substituted into each production process after the blast furnace smelting process, and the final carbon footprint of the specific product is obtained through iterative steps.

6. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method of any one of claims 1-5.

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