Converter steelmaking process carbon emission distribution method and system based on theoretical energy consumption

Abstract

The invention relates to the technical field of energy data processing, in particular to a converter steelmaking process carbon emission distribution method and system based on theoretical energy consumption, and the method comprises the steps: building a theoretical energy consumption model, and determining the energy consumption in an ideal state through the theoretical energy consumption model through material balance and heat balance calculation; collecting daily actual production data; calculating the ratio of the historical monthly settlement data to the monthly accumulated data to obtain an energy data calibration correction coefficient; determining an energy distribution coefficient based on the energy consumption and the steel grade yield in the ideal state; calculating the energy consumption of each steel grade based on the energy consumption, the energy distribution coefficient and the energy data calibration correction coefficient; and calculating the carbon emission of each steel grade by adopting a life cycle evaluation method on the basis of the energy consumption of each steel grade and in combination with data of raw material consumption and solid waste. By accurately distributing energy consumption of different steel types in the steelmaking process, the accuracy of calculation of the carbon emission of the steel products is improved.

Description

Technical Field

[0001] This invention relates to the field of energy data processing technology, specifically to a method and system for allocating carbon emissions in a converter steelmaking process based on theoretical energy consumption. Background Technology

[0002] In the steel production process, steelmaking is a significant contributor to carbon emissions, accounting for approximately 9% of the total long-process carbon emissions. Energy consumption is one of the main categories in carbon emission calculations. Different steel grades have varying energy consumption during steelmaking. However, currently, due to a lack of metering instruments, the energy consumption of different steel grades in the steelmaking process is often differentiated solely by output. This method is rather crude and cannot accurately reflect the actual energy consumption of different steel grades, leading to inaccurate carbon emission calculations. With increasingly stringent environmental requirements and growing market demand for low-carbon products, there is an urgent need for a more precise method to allocate the energy consumption of different steel grades in the steelmaking process to improve the accuracy of product carbon emission calculations.

[0003] In the prior art, the patent "Energy Consumption Analysis System, Method, Equipment and Storage Medium for Steel Production Process" (CN202311468272.X) provides an energy consumption analysis system for steel production processes. This system acquires the energy consumption of various types of energy within a set time period, performs standard coal conversion processing, and determines the energy consumption analysis results based on power characteristic information. This patent primarily focuses on the energy consumption analysis of the overall steel production process and does not allocate energy consumption based on the theoretical minimum energy consumption for different steel grades. The patent "Steelmaking Energy Consumption Data Processing Method, Device and Process" (CN202111283195.1) provides a steelmaking energy consumption data processing method and device. The method includes: real-time acquisition of steelmaking production information and energy medium consumption information, and determination of corresponding energy consumption data to be allocated; determination of the final medium consumption data of each process within a unit time period based on the medium type, process, and preset energy consumption allocation rules of the energy consumption data to be allocated; and comparison of the final medium consumption data of each process with historical medium consumption data to identify energy consumption anomaly nodes in each process. This patent focuses on the processing of steelmaking energy consumption data and provides data processing methods for the energy consumption cost analysis needs of different steel grades and product specifications, but it does not involve energy consumption allocation based on theoretical minimum energy consumption.

[0004] To address the aforementioned technical challenges, this invention proposes a method and system for allocating carbon emissions in converter steelmaking processes based on theoretical energy consumption. By accurately allocating energy consumption for different steel grades during the steelmaking process, the accuracy of carbon emission calculations for steel products is improved, providing strong support for energy conservation, emission reduction, and sustainable development in steel enterprises. Summary of the Invention

[0005] To address the aforementioned technical problem that existing carbon emission allocation methods for steelmaking processes are too crude and fail to accurately reflect the actual energy consumption differences among different steel grades, this invention provides a carbon emission allocation method and system for steelmaking processes based on theoretical energy consumption. This invention primarily utilizes the principles of material balance and heat balance to establish a theoretical energy consumption model for each steel grade, and combines this with energy data to calibrate correction coefficients, thereby achieving dynamic allocation of energy consumption and significantly improving the accuracy of carbon emission calculations in steelmaking processes.

[0006] The technical means employed in this invention are as follows: A method for allocating carbon emissions in a converter steelmaking process based on theoretical energy consumption includes the following steps: A theoretical energy consumption model is established, based on the chemical composition, physical properties, raw material characteristics, and production process parameter requirements of the steel grade. The ideal energy consumption is determined through material balance and heat balance calculations, including the theoretical oxygen consumption, theoretical converter gas recovery, and theoretical steam recovery for each steel grade. Daily actual production data is collected, including steel grade output, raw material consumption, energy consumption, and equipment operating parameters. An energy data calibration correction coefficient is obtained based on the ratio of historical monthly settlement data to monthly cumulative data. An energy allocation coefficient is determined based on the ideal energy consumption and the steel grade output. The energy consumption of each steel grade is calculated based on the energy consumption, energy allocation coefficient, and energy data calibration correction coefficient. Finally, based on the energy consumption of each steel grade, combined with the raw material consumption and solid waste data, a life cycle assessment method is used to calculate the carbon emissions of each steel grade.

[0007] Furthermore, the formula for calculating the theoretical oxygen consumption is as follows:

[0008] in, This is the theoretical oxygen consumption. , , , , , , This represents the oxidation amount of each element in molten iron. The iron content of the ore fed into the furnace. The formula for calculating the theoretical converter gas recovery rate is as follows:

[0009] in, This represents the theoretical converter gas recovery rate. The air intake coefficient, For the gas recovery ratio, The difference in carbon content between molten iron and the final molten steel from the converter. The carbon oxidation ratio, The formula for calculating the theoretical steam recovery rate is as follows:

[0010] in, The theoretical steam recovery rate is given by T1, where T1 is the temperature of the flue gas entering the waste heat boiler, and T2 is the temperature of the flue gas leaving the waste heat boiler. (C) P1 C is the specific heat capacity of the flue gas when it enters the waste heat boiler. P2 h is the specific heat capacity of the flue gas leaving the waste heat boiler. q For saturated vapor specific enthalpy, h S For saturated water specific enthalpy, R represents the thermal efficiency of the waste heat boiler, and R is the calorific value of carbon monoxide combustion. This refers to the amount of furnace gas produced by carbon oxidation.

[0011] Furthermore, the steel production and raw material consumption are obtained through the manufacturing management system, and the energy consumption is obtained through the metering information system.

[0012] Furthermore, the energy allocation coefficient includes the oxygen consumption allocation coefficient, the converter gas allocation coefficient, and the theoretical steam allocation coefficient. The method for calculating the oxygen consumption distribution coefficient is as follows: Oxygen consumption distribution coefficient = Production of a single steel grade × Theoretical oxygen consumption per ton of steel for a single steel grade / Production of all steel grades × Theoretical oxygen consumption per ton of steel for all steel grades The method for calculating the converter gas distribution coefficient is as follows: Converter gas distribution coefficient = Output of a single steel grade × Theoretical converter gas recovery per ton of steel for a single steel grade / Output of all steel grades × Theoretical converter gas recovery per ton of steel for all steel grades The method for calculating the steam distribution coefficient is as follows: Steam distribution coefficient = Production of a single steel grade × Theoretical steam recovery per ton of steel for a single steel grade / Production of all steel grades × Theoretical steam recovery per ton of steel for all steel grades

[0013] Furthermore, the carbon emissions of each steel grade are calculated as follows: Carbon emissions of a single steel grade = raw material consumption × raw material carbon emission factor + allocated oxygen consumption × oxygen carbon emission factor + actual consumption of other allocated energy × carbon emission factor of other allocated energy + solid waste generation × solid waste carbon emission factor - allocated coal gas recovery × coal gas carbon emission factor - allocated steam recovery × steam carbon emission factor.

[0014] This invention also includes a carbon emission allocation system for converter steelmaking processes based on theoretical energy consumption, used to implement the aforementioned carbon emission allocation method for converter steelmaking processes based on theoretical energy consumption, comprising: The data acquisition module is used to collect actual production data of the steelmaking process through sensors and monitoring equipment. The actual production data includes steel grade output, raw material consumption, energy consumption, and equipment operating parameters. The theoretical energy consumption model module is used to calculate the theoretical energy consumption value of each steel grade. The calibration module is used to calculate the energy consumption correction coefficient based on the ratio of historical monthly settlement data to monthly cumulative data. The energy allocation module is used to calculate the theoretical oxygen consumption, gas recovery, and steam recovery of each steel grade based on the theoretical energy consumption model, and obtain the energy allocation coefficient by combining the steel grade output. Combined with the corrected daily energy consumption data, the allocated energy consumption of each steel grade is calculated. The carbon emission calculation module is used to calculate the carbon emissions of each steel grade based on the allocated energy consumption of each steel grade, combined with data on raw material consumption and waste emissions, using the life cycle assessment method.

[0015] Compared with the prior art, the present invention has the following advantages: 1. This invention establishes a theoretical energy consumption model and combines it with dynamic calibration based on production data to achieve a refined allocation of energy consumption for different steel grades, which significantly improves the accuracy of carbon emission calculation. For example, when the carbon emission per ton of steel generated by oxygen consumption is allocated according to the theoretical model, the accuracy is 2.3-3.2% higher than that of the conventional allocation based on production output.

[0016] 2. This invention analyzes the energy consumption composition of different steel grades based on model analysis, which can accurately identify high energy-consuming links and help enterprises optimize smelting parameters, adjust production rhythm or improve equipment operating efficiency, thereby reducing energy consumption per ton of steel and achieving energy saving and cost reduction.

[0017] 3. This invention combines the Life Cycle Assessment (LCA) method with process-level energy consumption data, which can accurately track the carbon footprint from raw materials to finished products. Accurate carbon emission calculation and energy-saving and emission reduction measures can realize green and environmentally friendly production processes and meet the market demand for low-carbon products.

[0018] Based on the above reasons, this invention can be widely applied in fields such as energy data processing. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the 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.

[0020] Figure 1This is a flowchart of a carbon emission allocation method for steelmaking processes based on theoretical energy consumption, according to the present invention. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0022] like Figure 1 As shown, this invention provides a method for allocating carbon emissions in a steelmaking process based on theoretical energy consumption, comprising the following steps: S1. Establish a theoretical energy consumption model. The theoretical energy consumption model is based on the chemical composition, physical properties, raw material characteristics, and production process parameter requirements of the steel grade. The energy consumption under ideal conditions is determined through material balance and heat balance calculations. The energy consumption under ideal conditions includes the theoretical oxygen consumption, theoretical converter gas recovery, and theoretical steam recovery of each steel grade.

[0023] Specifically, the steps for establishing a theoretical energy consumption model are as follows: Based on the chemical composition of the steel grade and molten iron, such as carbon and sulfur content, alloy element content, flue gas temperature at entry and exit of the waste heat boiler, and flue gas specific heat capacity, the energy consumption under ideal conditions during the steelmaking process is determined.

[0024] Energy consumption mainly includes oxygen consumption, converter gas recovery, and steam recovery. Oxygen consumption is the difference between the amount of oxygen required for the oxidation of relevant elements in the converter molten pool and the amount of oxygen brought into the molten pool by the furnace charge. It is calculated from the material balance based on the composition of molten iron, the final composition of molten steel, and the amount of iron ore added. The actual amount of converter gas recovered depends on the amount of gas generated, the CO concentration in the gas, and the gas recovery ratio. A converter gas recovery model is established based on material balance and heat balance. The high-temperature flue gas generated during the smelting process is cooled and releases heat through the waste heat boiler. The saturated water in the boiler absorbs this heat and becomes saturated steam, which is the amount of steam recovered. Steam recovery amount = (heat released by flue gas temperature drop + effective heat generated by gas combustion) / (saturated steam specific enthalpy - saturated water specific enthalpy).

[0025] 1) The selection of steel grades and the chemical composition of molten iron are shown in Table 1: Table 1 Chemical composition of steel grades and molten iron

[0026] 2) Calculate the required key parameters The proportion of carbon oxidized to CO =0.9, air intake coefficient =O, converter gas recovery ratio =100%, steam recovery ratio =100%.

[0027] 3) Other conditions Metal recovery =0.90, Steam recovery system parameters—saturated steam pressure is 2.5 MPa, enthalpy of saturated steam =2711.57kJ / kg; saturated hydrothermal enthalpy =531.96kJ / kg; correction factor =l.61, Ore addition amount—Ore=10kg / t, Ore grade =60%.

[0028] The formula for calculating theoretical oxygen consumption is:

[0029] in, This represents the theoretical oxygen consumption per ton of steel, expressed in kg / t. , , , , , , This represents the oxidation amount of each element in molten iron. This refers to the iron content of the ore fed into the furnace.

[0030] The formula for calculating the theoretical converter gas recovery rate is:

[0031] in, This represents the theoretical converter gas recovery rate. The air intake coefficient, For the gas recovery ratio, The difference in carbon content between molten iron and the final molten steel from the converter. This represents the carbon oxidation ratio.

[0032] Preferably, in this embodiment, the air intake coefficient =0, gas recovery ratio =100%, the proportion of carbon oxidized to CO =0.9.

[0033] The formula for calculating the theoretical steam recovery rate is:

[0034] in, The theoretical steam recovery rate is given by T1, where T1 is the temperature of the flue gas entering the waste heat boiler, and T2 is the temperature of the flue gas leaving the waste heat boiler. (C) P1 C is the specific heat capacity of the flue gas when it enters the waste heat boiler. P2 h is the specific heat capacity of the flue gas leaving the waste heat boiler. q For saturated vapor specific enthalpy, h S For saturated water specific enthalpy, R represents the thermal efficiency of the waste heat boiler, and R is the calorific value of carbon monoxide combustion. This refers to the amount of furnace gas produced by carbon oxidation.

[0035] The theoretical energy consumption per ton of steel, calculated using the model, is shown in Table 2. Table 2 Theoretical Energy Consumption per Ton of Steel

[0036] S2. Collect daily actual production data, including steel output, raw material consumption, energy consumption (such as oxygen, coal gas, steam, etc.) and equipment operating parameters.

[0037] Specifically, steel production and raw material consumption are recorded in real time from the manufacturing management system (source: steelmaking PES system); energy consumption is the total daily consumption, calculated from the point numbers of each collection point in the metering information system.

[0038] S3. Obtain the energy data calibration correction coefficient based on the ratio of historical monthly settlement data to monthly cumulative data.

[0039] Specifically, the steps for calibrating and correcting the energy data are as follows: The correction factor is calculated based on the ratio of historical monthly settlement data to monthly cumulative data, i.e., correction factor = monthly settlement amount of the same period of the previous year / monthly cumulative measurement value of the same period of the previous year.

[0040] On a certain day, the cumulative oxygen consumption data calculated from the collection points of the metering information system was 20km. 3 The monthly settlement data for the previous year was 700km. 3 The cumulative monthly metering value for the same period last year was 688 km. 3 Therefore, the energy data calibration correction factor = 700 / 688 = 1.01, and the corrected oxygen consumption is 20.2 km. 3 .

[0041] On a certain day, the cumulative steam recovery data calculated from the collection points of each data collection point in the metering information system was 33.5t, while the monthly settlement data of the previous year was 980t, and the cumulative monthly metering value of the same period of the previous year was 990t. Therefore, the energy data calibration correction factor = 980 / 990 = 0.99, and the corrected steam recovery amount is 33.2t.

[0042] On a certain day, the cumulative data of gas recovery calculated from the point numbers of each collection point in the metering information system was 75km. 3 The monthly settlement data for the previous year was 2260km. 3 The cumulative monthly metering value for the same period last year was 2234 km. 3 Therefore, the energy data calibration correction factor = 2260 / 2210 = 1.02, and the corrected gas recovery rate is 76.5 km³. 3 .

[0043] In a preferred embodiment of the present invention, sensors and monitoring equipment are installed at various stages of the steelmaking process to collect production data. Simultaneously, a data transmission and storage system is established to ensure the accuracy and timeliness of the data.

[0044] S4. Determine the energy allocation coefficient based on energy consumption and steel production under ideal conditions.

[0045] Specifically, the steps for energy consumption allocation are as follows: For steelmaking furnaces that produce a single type of steel: There is no need to share energy consumption.

[0046] For steelmaking furnaces that produce several grades of steel: The theoretical energy consumption value is obtained by inputting actual production data into the theoretical energy consumption model.

[0047] Based on the ideal energy consumption and steel production, determine the energy consumption allocation coefficient for each steel grade.

[0048] The energy allocation coefficients include the oxygen consumption allocation coefficient, the converter gas allocation coefficient, and the theoretical steam allocation coefficient. The calculation method for the oxygen consumption allocation coefficient is as follows: Oxygen consumption distribution coefficient = (steel grade output × theoretical oxygen consumption per ton of steel grade) / (output of all steel grades × theoretical oxygen consumption per ton of steel grade).

[0049] The calculation method for the converter gas distribution coefficient is as follows: Converter gas distribution coefficient = (steel grade output × theoretical converter gas recovery per ton of steel) / (output of all steel grades × theoretical converter gas recovery per ton of all steel grades).

[0050] The method for calculating the steam distribution coefficient is as follows: Steam distribution coefficient = (steel grade output × theoretical steam recovery per ton of steel grade) / (output of all steel grades × theoretical steam recovery per ton of steel grade).

[0051] S5. Based on energy consumption, energy allocation coefficient, and energy data calibration correction coefficient, calculate the energy consumption of each steel grade.

[0052] Specifically, the formula for calculating the energy consumption of each steel grade is as follows: Energy consumption allocated to a certain steel grade = Daily energy consumption × Allocation coefficient × Correction coefficient In this embodiment, the theoretical oxygen consumption of low-carbon steel is 47.62m³. 3 / t, the theoretical oxygen consumption of duplex steel is 45.06m 3 / t, only two types of steel are produced that day: 796t of low-carbon steel and 520t of duplex steel. Therefore, the oxygen distribution coefficient is: , .

[0053] The total oxygen consumption for the day was 20.2 km. 3 Therefore, the oxygen consumption of low-carbon steel is 12.48 km³. 3 The oxygen consumption of duplex steel is 7.72 km³. 3 .

[0054] The amount of converter gas and steam recovered is calculated in this way.

[0055] The total daily steam recovery was 33.2t, of which 20.6t was recovered from low-carbon steel and 12.6t from duplex steel.

[0056] The total gas recovery volume for the day was 76.5 km. 3 Then, the low-carbon steel gas recovery rate is 47.4 km. 3 Duplex steel steam recovery 29.1km 3 .

[0057] The oxygen consumption per ton of low-carbon steel, the amount of gas recovered per ton of steel, and the amount of steam recovered per ton of steel are all 0.01568 km³. 3 / t, 0.02587km 3 / t, 0.05961t / t.

[0058] The oxygen consumption per ton of duplex steel, the gas recovery rate per ton of steel, and the steam recovery rate per ton of steel are all 0.01485 km³. 3 / t, 0.02425km 3 / t, 0.05587t / t.

[0059] As a comparative example, when energy consumption is not used, it is allocated according to steel grade production. The oxygen consumption per ton of steel, gas recovery per ton of steel, and steam recovery per ton of steel are the same for both low-carbon steel and duplex steel, at 0.01519 km³. 3 / t, 0.02546km 3 / t, 0.05699t / t.

[0060] S6. Based on the energy consumption of each steel grade, combined with raw material consumption and solid waste, the carbon emissions of each steel grade are calculated using the life cycle assessment method.

[0061] Specifically, the calculation method for carbon emissions of each steel grade is as follows: Carbon emissions from the converter steelmaking process for a certain steel product = Raw material consumption × Raw material carbon emission factor + Allocated oxygen consumption × Oxygen carbon emission factor + Actual consumption of other allocated energy × Carbon emission factor of other allocated energy + Waste generation × Waste carbon emission factor - Allocated gas recovery × Gas carbon emission factor - Allocated steam recovery × Steam carbon emission factor

[0062] The system architecture of this invention includes the following modules: Data acquisition module: Used to collect actual production data of the steelmaking process through sensors and monitoring equipment. Actual production data includes steel output, raw material consumption, energy consumption and equipment operating parameters.

[0063] Theoretical Energy Consumption Model Module: Used to calculate the theoretical energy consumption value for each steel grade.

[0064] Calibration module: Used to calculate energy consumption correction factor based on the ratio of historical monthly settlement data to monthly cumulative data.

[0065] Energy Allocation Module: This module calculates the theoretical oxygen consumption, gas recovery, and steam recovery of each steel grade based on the theoretical energy consumption model. It then combines this with the steel grade production output to obtain the energy allocation coefficient. Finally, it calculates and generates the allocated energy consumption for each steel grade based on the corrected daily energy consumption data.

[0066] Carbon emission calculation module: Based on the energy consumption of each steel grade, combined with data such as raw material consumption and waste emissions, the module uses life cycle assessment methods to calculate the carbon emissions of each steel grade.

[0067] In a preferred embodiment of the present invention, computer software is used to calculate the theoretical energy consumption model and calibrate production data. The model is periodically updated and optimized to adapt to changes in production conditions.

[0068] In a preferred embodiment of the present invention, the data acquisition module is connected to the metering information system, the steelmaking PES system, the resource utilization system, and the waste management platform system.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for allocating carbon emissions in a converter steelmaking process based on theoretical energy consumption, characterized in that, Includes the following steps: A theoretical energy consumption model is established. The theoretical energy consumption model is based on the chemical composition, physical properties, raw material characteristics, and production process parameter requirements of the steel grade. The energy consumption under ideal conditions is determined through material balance and heat balance calculations. The energy consumption under ideal conditions includes the theoretical oxygen consumption, theoretical converter gas recovery, and theoretical steam recovery of each steel grade. Collect daily actual production data, which includes steel grade output, raw material consumption, energy consumption, and equipment operating parameters; The energy data calibration correction factor is obtained by comparing the historical monthly settlement data with the monthly cumulative data. Based on the energy consumption under the ideal conditions and the steel production, the energy allocation coefficient is determined; Based on energy consumption, energy allocation coefficient, and energy data calibration correction coefficient, the energy consumption of each steel grade is calculated. Based on the energy consumption of each steel grade, combined with the data on raw material consumption and solid waste, the carbon emissions of each steel grade are calculated using the life cycle assessment method.

2. The carbon emission allocation method for converter steelmaking process based on theoretical energy consumption according to claim 1, characterized in that, The formula for calculating the theoretical oxygen consumption is as follows: in, This is the theoretical oxygen consumption. , , , , , , This represents the oxidation amount of each element in molten iron. The iron content of the ore fed into the furnace. The formula for calculating the theoretical converter gas recovery rate is as follows: in, This represents the theoretical converter gas recovery rate. The air intake coefficient, For the gas recovery ratio, The difference in carbon content between molten iron and the final molten steel from the converter. The carbon oxidation ratio, The formula for calculating the theoretical steam recovery rate is as follows: in, The theoretical steam recovery rate is given by T1, where T1 is the temperature of the flue gas entering the waste heat boiler, and T2 is the temperature of the flue gas leaving the waste heat boiler. (C) P1 C is the specific heat capacity of the flue gas when it enters the waste heat boiler. P2 h is the specific heat capacity of the flue gas leaving the waste heat boiler. q For saturated vapor specific enthalpy, h S Enthalpy of saturated water R represents the thermal efficiency of the waste heat boiler, and R is the calorific value of carbon monoxide combustion. This refers to the amount of furnace gas produced by carbon oxidation.

3. The carbon emission allocation method for converter steelmaking process based on theoretical energy consumption according to claim 1, characterized in that, The steel production and raw material consumption are obtained through the manufacturing management system, and the energy consumption is obtained through the metering information system.

4. The carbon emission allocation method for converter steelmaking process based on theoretical energy consumption according to claim 1, characterized in that, The energy allocation coefficients include the oxygen consumption allocation coefficient, the converter gas allocation coefficient, and the theoretical steam allocation coefficient. The method for calculating the oxygen consumption distribution coefficient is as follows: Oxygen consumption distribution coefficient = Production of a single steel grade × Theoretical oxygen consumption per ton of steel for a single steel grade / Production of all steel grades × Theoretical oxygen consumption per ton of steel for all steel grades The method for calculating the converter gas distribution coefficient is as follows: Converter gas distribution coefficient = Output of a single steel grade × Theoretical converter gas recovery per ton of steel for a single steel grade / Output of all steel grades × Theoretical converter gas recovery per ton of steel for all steel grades The method for calculating the steam distribution coefficient is as follows: Steam distribution coefficient = Production of a single steel grade × Theoretical steam recovery per ton of steel for a single steel grade / Production of all steel grades × Theoretical steam recovery per ton of steel for all steel grades 5. The carbon emission allocation method for converter steelmaking process based on theoretical energy consumption according to claim 1, characterized in that, The carbon emissions of each steel grade are calculated as follows: Carbon emissions of a single steel grade = raw material consumption × raw material carbon emission factor + allocated oxygen consumption × oxygen carbon emission factor + actual consumption of other allocated energy × carbon emission factor of other allocated energy + solid waste generation × solid waste carbon emission factor - allocated coal gas recovery × coal gas carbon emission factor - allocated steam recovery × steam carbon emission factor.

6. A carbon emission allocation system for a converter steelmaking process based on theoretical energy consumption, used to implement the carbon emission allocation method for a converter steelmaking process based on theoretical energy consumption as described in claims 1-5, characterized in that, include: Data acquisition module: used to collect actual production data of the steelmaking process through sensors and monitoring equipment. The actual production data includes steel output, raw material consumption, energy consumption and equipment operating parameters. Theoretical Energy Consumption Model Module: Used to calculate the theoretical energy consumption value for each steel grade; Calibration module: used to calculate the energy consumption correction factor based on the ratio of historical monthly settlement data to monthly cumulative data; Energy allocation module: used to calculate the theoretical oxygen consumption, gas recovery, and steam recovery of each steel grade according to the theoretical energy consumption model, obtain the energy allocation coefficient by combining the steel grade output, and calculate and generate the allocated energy consumption of each steel grade by combining the corrected daily energy consumption data. Carbon emission calculation module: Based on the energy consumption of each steel grade, combined with data on raw material consumption and waste emissions, the module uses life cycle assessment methods to calculate the carbon emissions of each steel grade.

Images