Steel product carbon deal cost influence analysis system
Calculating the carbon emission intensity and cost of steel products through the CBAM service platform solves the problem of enterprises reducing carbon tariffs and procurement costs under the CBAM environment, and achieves fast and low-cost optimized procurement decisions.
Patent Information
- Application Number
- CN202510911518.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-02
- Publication Date
- 2025-10-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
When facing the challenges brought by the EU Carbon Border Adjustment Mechanism (CBAM), how can enterprises reduce carbon emissions and carbon tariff costs while ensuring production quality and efficiency? Existing technical solutions are costly, complex and difficult to implement quickly.
Provide a carbon tariff cost impact analysis system for steel products, calculate product carbon emission intensity and precursor material procurement costs through the CBAM service platform, and optimize procurement decisions to reduce overall costs.
Through a simplified calculation method, it helps companies quickly identify the lowest-cost precursor material supplier, reduce carbon tariff costs, maintain market competitiveness, and avoid increasing production complexity.
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Figure CN120807012A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of tariff cost impact analysis, in particular to a steel product carbon tariff cost impact analysis system. BACKGROUND
[0002] With the intensification of global climate change, countries have taken measures to reduce greenhouse gas emissions and promote low-carbon economic transformation. The European Union (EU) proposed the Carbon Border Adjustment Mechanism (CBAM) in 2023, which aims to impose carbon tariffs on high-carbon-emitting products from external suppliers, promote fair distribution of global carbon emissions, and impose additional fees on high-emission products such as steel, cement, and aluminum. The implementation of this mechanism will have a profound impact on international trade, particularly for companies exporting to the EU market, which requires them to optimize production processes, reduce carbon emissions, and conduct more assessments on high-carbon-footprint raw materials.
[0003] After the implementation of the EU CBAM, one of the main challenges faced by enterprises is how to consider carbon emissions when purchasing raw materials. With the introduction of carbon tariffs, the procurement cost of high-carbon-emitting raw materials will increase to some extent, and enterprises need to reduce carbon emissions while ensuring production quality and efficiency to reduce additional carbon tariff burden. In this context, how to balance carbon emission control, carbon tariff cost, and procurement cost has become a technical problem that enterprises must face.
[0004] Existing solutions mainly focus on reducing carbon emissions through technical improvements, optimizing production processes, and selecting low-carbon raw materials. However, these solutions often face high costs, technical difficulties, and long production cycles, making it difficult for enterprises to achieve low-carbon goals.
[0005] The existing technology has the following disadvantages when solving the impact of the European Union's Carbon Border Adjustment Mechanism (CBAM):
[0006] Most current enterprises face high costs other than procurement when using low-carbon raw materials, as the production process of low-carbon materials requires more technical investment and optimization, resulting in relatively high prices. Steel produced using green technology often requires high energy costs and production process support, and these additional investments are difficult to effectively recoup in the short term.
[0007] Existing emission reduction technologies are complex, and enterprises often need to invest a lot of technology research and development and transformation in the process of reducing carbon emissions. For example, existing carbon capture and storage (CCS) technology can effectively reduce greenhouse gas emissions, but its cost and implementation difficulty are high, and special infrastructure is required, making it difficult for enterprises to quickly promote to all production links in the short term.
[0008] Many existing low-carbon production processes are relatively cumbersome in actual operation. The commonly used low-carbon alternative raw materials or process steps often increase the complexity of the production link, resulting in reduced production efficiency. Especially for some traditional production enterprises, limited by existing equipment and technology, it is difficult to quickly upgrade the process. In view of the above shortcomings of the prior art, the present application provides a steel product carbon tariff cost impact analysis system. SUMMARY
[0009] The present application provides a steel product carbon tariff cost impact analysis system to solve the above-mentioned problems.
[0010] The present application provides a steel product carbon tariff cost impact analysis system, comprising:
[0011] The CBAM service platform, the CBAM service platform architecture system analyzes the impact of steel product carbon tariff cost, and the CBAM service platform architecture system analyzes the impact of steel product carbon tariff cost, including the following steps:
[0012] S1, determine the products and involved processes that need to be reported in the CBAM service platform;
[0013] S2, determine the data collection period;
[0014] S3, determine the parameters required for product process calculation;
[0015] S4, product carbon emission intensity calculation;
[0016] S5, precursor material procurement as a variable and overall carbon tariff cost coefficient calculation;
[0017] The parameters required for product process calculation include the parameters required for precursor materials as variables, the parameters required for other precursor materials, and the parameters of waste gas, steam, material decomposition, raw materials, main products, by-products and power;
[0018] The product carbon emission intensity calculation includes product direct emission intensity and product indirect emission intensity.
[0019] Preferably, the parameters required for precursor materials as variables include precursor material unit price, direct emission factor, first indirect emission factor, first process emission factor and first consumption amount, the parameters required for other precursor materials include precursor material direct emission factor, second indirect emission factor, second process emission factor and second consumption amount; The parameters of waste gas, steam, material decomposition, raw materials, main products, by-products include the consumption / production of each material and the third process emission factor, and the power parameter includes the power consumption and the power emission factor.
[0020] Preferably, the product direct emission intensity calculation formula is as follows:
[0021] EF1 = E1 / ADC;
[0022]
[0023] Product direct emission intensity = product direct emission amount / product output;
[0024] Product direct emission amount = each of exhaust gas, steam, material decomposition, raw material consumption amount*process emission factor addition + variable precursor material consumption amount*(precursor material direct emission factor + precursor material process emission factor) + each of other precursor material consumption amount*(precursor material direct emission factor + precursor material process emission factor) addition - product output*process emission factor - each of byproduct output*process emission factor addition;
[0025] Wherein: EF1 is product direct emission intensity, E1 is product direct emission amount, ADC is product output, ADi is exhaust gas, steam, material decomposition, raw material consumption amount, EFi is exhaust gas, steam, material decomposition, raw material process emission factor, ADX is other precursor material consumption amount, EFXQ is variable precursor material direct emission factor, EFXG is variable precursor material process emission factor, ADQj is other precursor material consumption amount, EFQj is other precursor material direct emission factor, EFGj is other precursor material process emission factor, EFC is product process emission factor, ADFh is byproduct output, EFFh is byproduct process emission factor.
[0026] Preferably, the product indirect emission intensity calculation formula is as follows:
[0027] EF2 = E2 / ADC;
[0028]
[0029] Product indirect emission intensity = product indirect emission amount / product output;
[0030] Product indirect emission amount = each of other precursor material consumption amount*(precursor material indirect emission factor + precursor material process emission factor) addition;
[0031] Wherein: EF2 is product indirect emission intensity, E2 is product indirect emission amount, ADD is power consumption amount, EFD is power emission factor, ADQj is other precursor material consumption amount, EFQj is other precursor material indirect emission factor, EFGj is other precursor material process emission factor.
[0032] Preferably, the variable precursor material procurement and carbon tariff overall cost coefficient calculation is the relationship between the variable precursor material procurement and carbon tariff overall cost;
[0033] The derivation process of the total cost coefficient formula of precursor material procurement and carbon tariff as a variable is as follows:
[0034] Unit product cost = unit product precursor material procurement cost + unit product carbon tariff;
[0035] Unit product precursor material procurement cost = precursor material unit consumption * precursor material unit price;
[0036] Unit product carbon tariff = (EU ETS carbon price - export country carbon price) * (CBAM unit product carbon emission - free emission quota obtained by EU same product enterprises);
[0037] EU ETS carbon price: the weekly average settlement price of the last week's EU carbon emission right auction;
[0038] Export country carbon price: the carbon emission quota already paid by EU imported goods in their production country (i.e. export country);
[0039] Unit product free emission quota obtained by EU same product enterprises: based on the top 10% of unit product carbon emission intensity of EU same product;
[0040] CBAM unit product carbon emission: direct emission intensity of the product;
[0041] The final derivation formula is as follows:
[0042]
[0043]
[0044] Unit product cost = (variable precursor material unit price * variable precursor material unit consumption) +
variable precursor material unit consumption * (precursor material direct emission factor + precursor material process emission factor) + each waste gas, steam, material decomposition, raw material unit consumption * process emission factor + each other precursor material unit consumption * (precursor material direct emission factor + precursor material process emission factor) - unit product yield * process emission factor - each byproduct unit yield * process emission factor - free emission quota obtained by EU same product enterprises
[0045] After extracting the common factor variable precursor material unit consumption:
[0046]
[0047] Unit product cost = variable precursor material consumption * (variable precursor material unit price + variable precursor material direct emission factor + variable precursor material process emission factor) * (EU ETS carbon price - export country carbon price) + [each exhaust gas, steam, material decomposition, raw material consumption * process emission factor sum + each other precursor material consumption * (precursor material direct emission factor + precursor material process emission factor) sum - unit product output * process emission factor - each by-product output * process emission factor sum - free emission allowance obtained by EU similar product enterprise] * (EU ETS carbon price - export country carbon price);
[0048] Wherein: CD is unit product cost, XJ is variable precursor material unit price, U1 is free emission allowance obtained by EU similar product enterprise, U2 is EU ETS carbon price, U3 is export country carbon price, ADi is exhaust gas, steam, material decomposition, raw material consumption, EFi is exhaust gas, steam, material decomposition, raw material process emission factor, ADX is variable precursor material consumption, EFXQ is variable precursor material direct emission factor, EFXG is variable precursor material process emission factor, ADQj is other precursor material consumption, EFQj is other precursor material direct emission factor, EFGj is other precursor material process emission factor, ADC is unit product output, EFC is product process emission factor, ADFh is by-product output, EFFh is by-product process emission factor;
[0049] The final simplified formula is as follows:
[0050] CD = X3 * (XJ + EFXQ + EFXG) * X1 + X2;
[0051] Unit product cost = X3 * (precursor material unit price + precursor material direct emission factor + precursor material process emission factor) * X1 + X2;
[0052] Wherein: XJ is variable precursor material unit price, EFXQ is variable precursor material direct emission factor, EFXG is variable precursor material process emission factor, X1 = (EU ETS carbon price - export country carbon price), which can be regarded as a constant;
[0053] X2 = [each exhaust gas, steam, material decomposition, raw material consumption * process emission factor sum + each other precursor material consumption * (precursor material direct emission factor + precursor material process emission factor) sum - unit product output * process emission factor - each by-product output * process emission factor sum - free emission allowance obtained by EU similar product enterprise] * (EU ETS carbon price - export country carbon price), which can be regarded as a constant;
[0054] X3 = unit consumption of precursor material, if the quality requirement is the same material composition precursor material, from different suppliers, the unit consumption of precursor material is basically the same, which can be regarded as a constant;
[0055] It can be concluded that the unit product cost is positively correlated with (precursor material unit price + precursor material direct emission factor + precursor material process emission factor), and the smaller (precursor material unit price + precursor material direct emission factor + precursor material process emission factor) is, the lower the unit product cost is. Let C be the total cost coefficient, which is the sum of the precursor material unit price, the precursor material direct emission factor and the precursor material process emission factor.
[0056] Preferably, C = XJ + EFXQ + EFXG;
[0057] That is, the total cost coefficient = precursor material unit price + precursor material direct emission factor + precursor material process emission factor.
[0058] Wherein: C is the total cost coefficient, XJ is the variable precursor material unit price, EFXQ is the variable precursor material direct emission factor, and EFXG is the variable precursor material process emission factor.
[0059] The smaller the total cost coefficient is, the smaller the total cost of precursor material procurement and carbon tariff is.
[0060] The above technical solutions provided by the embodiments of the present application have the following advantages compared with the prior art:
[0061] The overall structure provided by the embodiments of the present application, the CBAM service platform designs functions related to optimizing procurement costs, by filling in the parameters of the same precursor material from different suppliers, the corresponding total cost coefficient (the total cost coefficient is positively correlated with the sum of the unit product precursor material procurement cost and the unit product carbon tariff cost) is obtained. Enterprises can compare the total cost coefficient of the lowest supplier precursor material for producing CBAM products, so that the total cost of the enterprise is the lowest. Compared with reducing carbon emissions by technical improvement, optimizing production process and selecting low-carbon raw materials, the cost is lower, more convenient and faster, and does not increase the complexity of the production process. At the same time, the CBAM service platform also has the functions of calculating the direct emission intensity and the indirect emission intensity of the product, by determining the data collection period and the CBAM demand related process, filling in the related consumption of waste gas, steam, material decomposition, carbon-containing raw materials, precursor materials, main products and by-products, and the emission factor, modeling and calculating the direct emission intensity and the indirect emission intensity of the product, helping the enterprise CBAM data accounting, so that the enterprise can quickly respond when facing carbon tariff, and better maintain market competitiveness at a lower cost. BRIEF DESCRIPTION OF DRAWINGS
[0062] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the application and, together with the description, further serve to explain the principles of the application.
[0063] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the accompanying drawings required to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, those skilled in the art can obtain other drawings according to these drawings without any creative effort.
[0064] Figure 1 The overall schematic diagram of the present application. DETAILED DESCRIPTION
[0065] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely in combination with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without any creative effort fall within the scope of the present application.
[0066] Various embodiments of the present application can exist in the form of a range. It should be understood that the description in the form of a range is merely for the convenience and brevity, and should not be understood as a hard limitation on the scope of the present application. Therefore, it should be considered that the described range has specifically disclosed all possible sub-ranges and single values within the range. For example, it should be considered that the range description from 1 to 6 has specifically disclosed sub-ranges, such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6, etc., and single values within the described range, such as 1, 2, 3, 4, 5 and 6, regardless of the range. In addition, whenever a numerical range is indicated in the present application, it refers to any cited number (fraction or integer) within the indicated range. Unless otherwise specified, various raw materials, reagents, instruments and equipment used in the present application can be purchased from the market or can be prepared by existing equipment.
[0067] In the present application, the orientation words such as "upper" and "lower" are specifically the directions of the drawing surface in the drawings unless otherwise stated. In addition, in the present application, the terms "include", "contain" and the like mean "include but not limited to". In the present application, the relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. In the present application, "and / or" describes the association relationship of the associated objects, which means that there can be three kinds of relationships, for example, A and / or B can represent the cases of A alone, A and B together, and B alone. Wherein A and B can be singular or plural. In the present application, "at least one" means one or more, and "multiple" means two or more. "At least one", "at least one of the following" or the like means any combination of the items, including any combination of single or multiple items. For example, "at least one of a, b, or c", or "at least one of a, b, and c" can represent a, b, c, a-b, that is, a and b, a-c, b-c, or a-b-c, wherein a, b, and c can be single or multiple.
[0068] As shown in Figure 1 The embodiments of the present application provide a steel product carbon tariff cost influence analysis system, which comprises:
[0069] A CBAM service platform, the CBAM service platform architecture system analyzes the influence of steel product carbon tariff cost, and the CBAM service platform architecture system analyzes the influence of steel product carbon tariff cost, which comprises the following steps:
[0070] S1, determining the products and related processes that need to be reported in the CBAM service platform;
[0071] S2, determining the data collection period;
[0072] S3, determining the parameters required for product process calculation;
[0073] S4, product carbon emission intensity calculation;
[0074] S5, precursor material procurement as a variable and overall carbon tariff cost coefficient calculation;
[0075] The parameters required for product process calculation include the parameters required for precursor materials as variables, other precursor materials, waste gas, steam, material decomposition, raw materials, main products, byproduct parameters and power parameters;
[0076] The product carbon emission intensity calculation includes product direct emission intensity and product indirect emission intensity.
[0077] The required parameters of the variable precursor material include the precursor material unit price, the direct discharge factor, the first indirect discharge factor, the first process emission factor, and the first consumption amount, the required parameters of the other precursor materials include the precursor material direct discharge factor, the second indirect discharge factor, the second process emission factor, and the second consumption amount; the waste gas, steam, material decomposition, raw material, product, byproduct parameters include the consumption / production amount of each material and the third process emission factor, and the electricity parameter includes the electricity consumption amount and the electricity emission factor.
[0078] The product direct discharge intensity calculation formula is as follows:
[0079] EF1=E1 / ADC;
[0080]
[0081] The product direct emission intensity=product direct emission amount / product yield;
[0082] The product direct emission amount=the sum of the consumption amount of each waste gas, steam, material decomposition, and raw material*process emission factor+the consumption amount of the variable precursor material*(the direct emission factor of the precursor material+the process emission factor of the precursor material)+the sum of the consumption amount of each other precursor material*(the direct emission factor of the precursor material+the process emission factor of the precursor material)-product yield*process emission factor-the sum of each byproduct yield*process emission factor;
[0083] Wherein: EF1 is the product direct discharge intensity, E1 is the product direct emission amount, ADC is the product yield, ADi is the consumption amount of waste gas, steam, material decomposition, and raw material, EFi is the process emission factor of waste gas, steam, material decomposition, and raw material, ADX is the consumption amount of other precursor materials, EFXQ is the direct emission factor of the variable precursor material, EFXG is the process emission factor of the variable precursor material, ADQj is the consumption amount of other precursor materials, EFQj is the direct emission factor of other precursor materials, EFGj is the process emission factor of other precursor materials, EFC is the process emission factor of the product, ADFh is the byproduct yield, and EFFh is the process emission factor of the byproduct.
[0084] The product indirect discharge intensity calculation formula is as follows:
[0085] EF2=E2 / ADC;
[0086]
[0087] The product indirect emission intensity=product indirect emission amount / product yield;
[0088] The product indirect emission amount=the sum of the consumption amount of each other precursor material*(the indirect emission factor of the precursor material+the process emission factor of the precursor material).
[0089] Wherein: EF2 is the product inter-row intensity, E2 is the product inter-discharge amount, ADD is the power consumption, EFD is the power emission factor, ADQj is the consumption of other precursor materials, EFQj is the indirect emission factor of other precursor materials, EFGj is the process emission factor of other precursor materials.
[0090] The relationship between the variable precursor material procurement and the overall cost coefficient of carbon tariff is calculated as follows:
[0091] The derivation process of the variable precursor material procurement and the overall cost coefficient of carbon tariff is as follows:
[0092] Unit product cost = unit product precursor material procurement cost + unit product carbon tariff;
[0093] Unit product precursor material procurement cost = precursor material unit consumption * precursor material unit price;
[0094] Unit product carbon tariff = (EU ETS carbon price - export country carbon price) * (CBAM unit commodity carbon emission - free emission quota obtained by EU similar product enterprises);
[0095] EU ETS carbon price: the weekly average settlement price of the last week's EU carbon emission right auction;
[0096] Export country carbon price: the carbon emission quota that the EU imported goods have already paid in their production country (i.e. the export country);
[0097] Unit product free emission quota obtained by EU similar product enterprises: based on the top 10% of unit product carbon emission intensity of EU similar products;
[0098] CBAM unit commodity carbon emission: product direct emission intensity;
[0099] The final derivation formula is as follows:
[0100]
[0101] Unit product cost = (variable precursor material unit price * variable precursor material unit consumption) +
variable precursor material unit consumption * (precursor material direct emission factor + precursor material process emission factor) + each waste gas, steam, material decomposition, raw material unit consumption * process emission factor + each other precursor material unit consumption * (precursor material direct emission factor + precursor material process emission factor) + EU similar product enterprises obtained free emission quota
[0102] After extracting the variable precursor material consumption:
[0103]
[0104] Unit product cost = variable precursor material consumption * (variable precursor material unit price + variable precursor material direct emission factor + variable precursor material process emission factor) * (EU ETS carbon price - export country carbon price) + [each waste gas, steam, material decomposition, raw material consumption * process emission factor sum + each other precursor material consumption * (precursor material direct emission factor + precursor material process emission factor) sum - unit product output * process emission factor - each byproduct output * process emission factor sum - free emission quota obtained by EU similar product enterprises] * (EU ETS carbon price - export country carbon price);
[0105] Wherein: CD is unit product cost, XJ is variable precursor material unit price, U1 is free emission quota obtained by EU similar product enterprises, U2 is EU ETS carbon price, U3 is export country carbon price, ADi is waste gas, steam, material decomposition, raw material consumption, EFi is waste gas, steam, material decomposition, raw material process emission factor, ADX is variable precursor material consumption, EFXQ is variable precursor material direct emission factor, EFXG is variable precursor material process emission factor, ADQj is other precursor material consumption, EFQj is other precursor material direct emission factor, EFGj is other precursor material process emission factor, ADC is unit product output, EFC is product process emission factor, ADFh is byproduct output, EFFh is byproduct process emission factor;
[0106] The final simplified formula is as follows:
[0107] CD = X3 * (XJ + EFXQ + EFXG) * X1 + X2;
[0108] Unit product cost = X3 * (precursor material unit price + precursor material direct emission factor + precursor material process emission factor) * X1 + X2;
[0109] Wherein: XJ is variable precursor material unit price, EFXQ is variable precursor material direct emission factor, EFXG is variable precursor material process emission factor, X1 = (EU ETS carbon price - export country carbon price), which can be regarded as a constant;
[0110] X2=
each waste gas, steam, material decomposition, raw material unit consumption * process emission factor plus and each other precursor material unit consumption * (precursor material direct emission factor + precursor material process emission factor) plus and minus unit product yield * process emission factor - each by-product unit yield * process emission factor plus - EU free emission quota obtained by similar products enterprises
[0111] X3 = precursor material unit consumption, if the quality requirement is the same material composition precursor material, from different suppliers, the precursor material unit consumption is basically the same, which can be regarded as a constant;
[0112] The unit product cost is positively correlated with (precursor material unit price + precursor material direct emission factor + precursor material process emission factor), and when (precursor material unit price + precursor material direct emission factor + precursor material process emission factor) is smaller, the unit product cost is lower, and C can be set as the total cost coefficient, which is the sum of precursor material unit price, precursor material direct emission factor and precursor material process emission factor.
[0113] The C = XJ + EFXQ + EFXG;
[0114] That is, the total cost coefficient = precursor material unit price + precursor material direct emission factor + precursor material process emission factor.
[0115] Wherein: C is the total cost coefficient, XJ is the variable precursor material unit price, EFXQ is the variable precursor material direct emission factor, and EFXG is the variable precursor material process emission factor.
[0116] When the total cost coefficient is smaller, it means that the total cost of precursor material procurement and carbon tariff is smaller.
[0117] The above is only a specific embodiment of the present application, which enables those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined in the present application can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown in the present application, but will conform to the widest scope consistent with the principles and novel features claimed in the present application.
Claims
1. A carbon tariff cost impact analysis system for steel products, characterized by: include: The CBAM service platform, wherein the system of the CBAM service platform architecture analyzes the impact of carbon tariff costs on steel products, and the system of the CBAM service platform architecture analyzes the impact of carbon tariff costs on steel products, including the following steps: S1. Determine the products and processes that need to be reported on the CBAM service platform; S2. Determine the data collection period; S3. Determine the parameters required for calculation of each process of the product; S4. Calculation of product carbon emission intensity; S5. Calculation of the overall cost coefficient of precursor material procurement and carbon tariffs as variables; The parameters required for calculation of each process of the product include the parameters required for the precursor material as a variable, the parameters required for other precursor materials, and the parameters of waste gas, steam, material decomposition, raw materials, main products, by-products and electricity; The product carbon emission intensity calculation includes product direct emission intensity and product indirect emission intensity.
2. The carbon tariff cost impact analysis system for steel products according to claim 1, characterized in that: The parameters required for the precursor materials as variables include the unit price of the precursor materials, the direct discharge factor, the first indirect discharge factor, the first process emission factor and the first consumption; the parameters required for other precursor materials include the direct discharge factor of the precursor materials, the second indirect discharge factor, the second process emission factor and the second consumption; the exhaust gas, steam, material decomposition, raw materials, main products and by-product parameters include the consumption / output of each material and the third process emission factor; the electricity parameters include electricity consumption and electricity emission factor.
3. The carbon tariff cost impact analysis system for steel products according to claim 1, characterized in that: The product straight row strength calculation formula is as follows: EF1=E1 / ADC; Product direct emission intensity = product direct emission / product output; Direct emissions of products = sum of exhaust gas, steam, material decomposition, raw material consumption * process emission factors + variable precursor material consumption * (direct emission factor of precursor material + process emission factor of precursor material) + sum of other precursor material consumption * (direct emission factor of precursor material + process emission factor of precursor material) - product output * process emission factor - sum of by-product output * process emission factors; Among them: EF1 is the direct emission intensity of the product, E1 is the direct emission of the product, ADC is the product output, ADi is the waste gas, steam, material decomposition, and raw material consumption, EFi is the waste gas, steam, material decomposition, and raw material process emission factor, ADX is the consumption of other precursor materials, EFXQ is the direct emission factor of variable precursor materials, EFXG is the process emission factor of variable precursor materials, ADQj is the consumption of other precursor materials, EFQj is the direct emission factor of other precursor materials, EFGj is the process emission factor of other precursor materials, EFC is the product process emission factor, ADFh is the by-product output, and EFFh is the by-product process emission factor.
4. The carbon tariff cost impact analysis system for steel products according to claim 1, characterized in that: The product inter-row strength calculation formula is as follows: EF2=E2 / ADC; Product indirect emission intensity = product indirect emissions / product output; Product indirect emissions = electricity consumption * electricity emission factor + consumption of other precursor materials * (indirect emission factor of precursor materials + emission factor of precursor material process); Among them: EF2 is the product inter-emission intensity, E2 is the product indirect emission, ADD is the power consumption, EFD is the electricity emission factor, ADQj is the consumption of other precursor materials, EFQj is the indirect emission factor of other precursor materials, and EFGj is the process emission factor of other precursor materials.
5. The carbon tariff cost impact analysis system for steel products according to claim 1, characterized in that: The calculation of the coefficient of the overall cost of precursor material procurement and carbon tariff as variables is specifically the relationship between the overall cost of precursor material procurement and carbon tariff as variables; The calculation formula for the overall cost coefficient of precursor material procurement and carbon tariffs as variables is derived as follows: Unit product cost = unit product precursor material procurement cost + unit product carbon tariff; Unit product precursor material procurement cost = unit consumption of precursor material * unit price of precursor material; Carbon tariff per unit product = (EU ETS carbon price - exporting country carbon price) × (CBAM unit commodity carbon emissions - free emission allowances obtained by EU companies producing similar products); EU ETS carbon price: the weekly average settlement price of the EU carbon emission rights auction in the previous week; Exporting country carbon price: the carbon emission quota paid by the EU in the country of production (i.e. the exporting country) for imported goods; Free emission quotas per unit product obtained by companies producing similar products in the EU: based on the carbon emission intensity per unit product of the top 10% of similar products in the EU; CBAM unit commodity carbon emissions: direct emission intensity of the product; The final derivation formula is as follows: Unit product cost = (unit price of variable precursor materials * unit consumption of variable precursor materials) + [unit consumption of variable precursor materials * (direct emission factor of precursor materials + process emission factor of precursor materials) + sum of unit consumption of various waste gases, steam, material decomposition, and raw materials * process emission factors + sum of unit consumption of various other precursor materials * (direct emission factor of precursor materials + process emission factor of precursor materials) - unit product output * process emission factor - unit output of various by-products * sum of process emission factors - free emission credits obtained by EU companies producing similar products] * (EU ETS carbon price - exporting country carbon price); After extracting the common factor variable precursor material unit consumption: Unit product cost = variable precursor material unit consumption * (variable precursor material unit price + variable precursor material direct emission factor + variable precursor material process emission factor) * (EU ETS carbon price - exporting country carbon price) + [the sum of each exhaust gas, steam, material decomposition, and raw material unit consumption * process emission factor + the sum of each other precursor material unit consumption * (precursor material direct emission factor + precursor material process emission factor) - unit product output * process emission factor - each by-product unit output * sum of process emission factors - free emission credits obtained by EU companies producing similar products] * (EU ETS carbon price - exporting country carbon price); Wherein: CD is the unit product cost, XJ is the unit price of variable precursor materials, U1 is the free emission allowance obtained by similar product enterprises in the EU, U2 is the EUETS carbon price, U3 is the carbon price of the exporting country, ADi is the unit consumption of waste gas, steam, material decomposition, and raw materials, EFi is the emission factor of waste gas, steam, material decomposition, and raw materials process, ADX is the unit consumption of variable precursor materials, EFXQ is the direct emission factor of variable precursor materials, EFXG is the process emission factor of variable precursor materials, ADQj is the unit consumption of other precursor materials, EFQj is the direct emission factor of other precursor materials, EFGj is the process emission factor of other precursor materials, ADC is the unit product output, EFC is the product process emission factor, ADFh is the unit output of by-products, and EFFh is the by-product process emission factor; The final simplified formula is as follows: CD=X3*(XJ+EFXQ+EFXG)*X1+X2; Unit product cost = X3*(unit price of precursor material + direct emission factor of precursor material + process emission factor of precursor material)*X1+X2; Where: XJ is the unit price of the variable precursor material, EFXQ is the direct emission factor of the variable precursor material, EFXG is the process emission factor of the variable precursor material, X1 = (EU ETS carbon price - exporting country carbon price), which can be regarded as a constant; X2 = [the sum of each exhaust gas, steam, material decomposition, and raw material unit consumption * process emission factor + the sum of each other precursor material unit consumption * (direct emission factor of precursor materials + process emission factor of precursor materials) - unit product output * process emission factor - each by-product unit output * sum of process emission factors - free emission allowances obtained by companies producing similar products in the EU] * (EU ETS carbon price - exporting country carbon price), which can be regarded as a constant; X3 = unit consumption of precursor materials. If the quality requirements are for precursor materials of the same material composition from different suppliers, the unit consumption of precursor materials is basically the same and can be regarded as a constant; It can be concluded that the unit product cost is positively correlated with (unit price of precursor materials + direct emission factor of precursor materials + process emission factor of precursor materials). The smaller the (unit price of precursor materials + direct emission factor of precursor materials + process emission factor of precursor materials), the lower the unit product cost. C can be set as the overall cost coefficient, which is the sum of the unit price of precursor materials, direct emission factor of precursor materials, and process emission factor of precursor materials.
6. The carbon tariff cost impact analysis system for steel products according to claim 5, characterized in that: Said C=XJ+EFXQ+EFXG; That is, the overall cost coefficient = unit price of precursor materials + direct emission factor of precursor materials + process emission factor of precursor materials; Where: C is the overall cost coefficient, XJ is the unit price of the variable precursor material, EFXQ is the direct emission factor of the variable precursor material, and EFXG is the process emission factor of the variable precursor material; The smaller the overall cost coefficient is, the lower the overall cost of precursor material procurement and carbon tariffs is.