Converter steelmaking carbon emission real-time calculation method
By using real-time acquisition of multi-source data and dynamic model fusion, the problems of lag and accuracy in calculating carbon emissions from converter steelmaking were solved, enabling real-time monitoring of carbon emissions and process optimization, reducing carbon emission intensity, and meeting international standards.
Patent Information
- Application Number
- CN202511981957.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-25
- Publication Date
- 2026-05-15
AI Technical Summary
Existing technologies for calculating carbon emissions in converter steelmaking suffer from problems such as data lag, low model accuracy, and system isolation, making it difficult to achieve real-time monitoring and process optimization.
By real-time acquisition of multi-source data and fusion of dynamic models, combined with material conservation and reaction kinetic equations, the carbon emissions of converter steelmaking are calculated in real time, and the results are fed back to the steelmaking control system to optimize process parameters.
It enables real-time dynamic monitoring and accurate calculation of carbon emissions from converter steelmaking, reducing carbon emission intensity per ton of steel by 5%-15% and meeting the requirements of international carbon footprint standard certification.
Smart Images
Figure CN122048609A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of environmental protection technology in the metallurgical industry, specifically relating to a real-time calculation method for carbon emissions from converter steelmaking. The system and method, through multi-source data acquisition, dynamic model construction, and real-time analysis technology, achieve accurate monitoring and quantitative assessment of carbon emissions from the converter steelmaking-continuous casting process, and can be widely applied to the optimization of low-carbon production and carbon emission supervision in steel enterprises. Background Technology
[0002] The steel industry accounts for 15% of the nation's total carbon emissions, while converter steelmaking accounts for 6% of the steel industry's carbon emissions. Converter steelmaking is one of the core processes in steel production, and its carbon emissions include those from the consumption of fossil fuels, the oxidation of raw materials and the decomposition of auxiliary materials, and the consumption of electricity. Therefore, to achieve the "dual carbon" target, the need for accurate quantification and real-time monitoring of converter steelmaking carbon emissions is increasingly urgent. Currently, carbon emission calculation methods for converter steelmaking mainly fall into two categories. One is static estimation based on material balance, which calculates total carbon emissions by inputting data on molten iron, scrap steel, auxiliary material composition, and energy consumption, combined with empirical formulas. This method relies on offline data, resulting in poor real-time performance and an inability to reflect dynamic process fluctuations. The other is indirect calculation based on flue gas analysis, which extrapolates carbon emissions by detecting converter flue gas flow rate and CO2 concentration. However, the converter smelting process involves periodic flue gas emissions (such as the difference between the blowing period and the settling period), and traditional sensors are susceptible to interference from high temperatures and dust, leading to discontinuous data acquisition and insufficient accuracy. The limitations of existing technologies include: first, the lack of real-time synchronous acquisition and fusion of multi-source data (such as process parameters, gas composition, and energy consumption); second, the inability of static models to adapt to dynamic changes in smelting conditions (such as the impact of oxygen supply intensity and slag formation stage); and third, the serious problem of data silos, which are not integrated with the production control system and make it difficult to achieve online feedback of carbon emissions and process optimization.
[0003] Therefore, there is an urgent need to develop a high-precision, real-time-enabled carbon emission calculation system and method for converter steelmaking that is deeply integrated with the production system. Summary of the Invention
[0004] To overcome the above-mentioned shortcomings, the purpose of this invention is to provide a real-time calculation method for carbon emissions in converter steelmaking, which solves the problems of data lag, low model accuracy and system isolation in the prior art, and realizes the linkage between dynamic monitoring, accurate calculation and process optimization of carbon emissions.
[0005] To achieve the above objectives, the present invention provides a method for real-time calculation of carbon emissions from converter steelmaking, comprising the following steps: Calculation process carbon emissions ; Calculate the carbon emissions implied by carbon-containing products. (The amount of carbon dioxide fixed in the steel billet) Calculate the carbon emissions from consuming fossil fuels ; Calculate indirect carbon emissions ; The carbon emissions from converter steelmaking are calculated using the following formula: .
[0006] Furthermore, the carbon emissions during the calculation process... The steps are as follows Real-time data collection of converter scrap input, molten iron composition and input, auxiliary material input, post-furnace molten steel composition, and flue gas composition for each heat cycle; Based on the material conservation and reaction kinetic equations, the theoretical process emissions of converter equipment for each heat of converter steelmaking are calculated. Actual carbon emissions are derived from flue gas composition and dynamically weighted and fused with theoretical values to calculate the process emissions for each furnace cycle, thereby eliminating errors from a single model.
[0007] Furthermore, calculate the carbon emissions from consuming fossil fuels; Real-time data collection of total gas pipe flow rate, converter gas pipe flow rate, gas recovery time, and gas content; Based on the real-time collected total gas pipe flow and converter gas pipe flow, the gas consumption and converter gas recovery are calculated through the corresponding furnace operation time. Calculate the fossil fuel consumption and emissions from each furnace cycle.
[0008] Furthermore, the formula for calculating the emissions from fossil fuel combustion per furnace cycle is as follows:
[0009] Emissions from fossil fuel consumption per furnace cycle The total amount of gas used. The received basis lower heating value of the gas is used. The carbon content per unit calorific value of the gas used. for The total amount, for The received low-grade heat of heat, for The unit calorific value and carbon content; The carbon oxidation rate of converter gas.
[0010] Furthermore,
[0011] Product output for each furnace batch Carbon content of products for each batch.
[0012] Furthermore, it also includes the following steps: generating the total carbon emission curve and carbon emission curve per ton of steel for the converter steelmaking process, generating the total carbon emission curve and carbon emission curve per ton of steel for each converter equipment through the converter heat number of each heat, and generating the total carbon emission curve and carbon emission curve per ton of steel for each steel grade through the steel grade of each heat. Furthermore, the process also includes the following steps: comparing the carbon emissions per ton of steel for each heat based on production data such as different converter heat numbers, scrap steel content, steel grades produced, and oxygen blowing duration, and using cluster analysis to identify process differences; feeding the results back to the steelmaking control system to dynamically adjust steelmaking feedstock, oxygen supply intensity, or coolant addition to optimize carbon efficiency.
[0013] This method enables real-time updates of carbon emissions during converter steelmaking, addressing the pain points of traditional, lagging accounting methods and helping companies quickly respond to carbon management targets. It integrates a three-tiered carbon accounting system encompassing equipment, processes, and products, is compatible with both direct and indirect emissions, and meets international carbon footprint standard certification requirements. Based on production parameters and historical data, the carbon reduction model can automatically generate process suggestions such as optimizing oxygen lance supply and adjusting scrap steel ratios, reducing carbon emission intensity per ton of steel by 5%-15%. Attached Figure Description
[0014] Figure 1 This is a flowchart illustrating the steps of a method for real-time calculation of carbon emissions in converter steelmaking proposed in this invention. Figure 2 This is a structural diagram of a real-time calculation system for carbon emissions from converter steelmaking proposed in this invention. Detailed Implementation
[0015] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
[0016] In the description of this invention, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.
[0017] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.
[0018] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.
[0019] Example 1 This invention provides a real-time calculation method for carbon emissions from converter steelmaking, comprising a method for calculating carbon emissions from converter equipment, a method for calculating carbon emissions from the converter steelmaking process, a method for calculating carbon emissions from products, a carbon reduction production suggestion model, and a real-time calculation system for carbon emissions from converter steelmaking. The steps are as follows: Step 1: Add a high-precision gas sensor and connect it to the existing energy meters in the steel plant to collect energy data. Connect it to the steel plant's production management system to collect production data. Collect data in real time on the amount of scrap steel input, molten iron composition and its input, auxiliary material input, molten steel composition after the furnace, and flue gas composition for each heat. Step Two: Based on the data collected in Step One, calculate the theoretical process emissions of the converter equipment for each heat in converter steelmaking based on the law of conservation of materials. The specific equation is as follows:
[0020] The theoretical process emissions for each furnace cycle, The amount of carbon-containing raw material / auxiliary material added for each furnace batch, Let be the carbon emission factor of the i-th carbon-containing raw material / auxiliary material. Average amount of slag / dust for each furnace cycle This corresponds to the carbon content; Step 3: Actual carbon emissions are derived from flue gas composition and dynamically weighted and fused with theoretical values to calculate the process emissions for each furnace cycle, eliminating errors from a single model. The flue gas model is as follows:
[0021] The emissions from the flue gas back-calculation process are calculated for each furnace cycle, where Q is the flue gas flow rate. and This represents the volume percentage of CO and CO2 in the flue gas. The proportion of CO burned at the furnace opening; Step 4: Collect data in real time from the total gas pipe flow rate, converter gas pipe flow rate, gas recovery time, and gas content using energy meters; Step 5: Based on the real-time collected total gas pipe flow rate and converter gas pipe flow rate, calculate the gas consumption and converter gas recovery amount through the corresponding furnace operation time. Calculate the converter gas recovery amount based on the gas recovery time and gas content of each furnace operation, and verify it against the collected values. If there is a significant discrepancy, an alarm will be triggered, and hardware troubleshooting will be conducted. Step Six: Calculate the fossil fuel combustion emissions for each furnace cycle. The calculation formula is as follows:
[0022] Emissions from fossil fuel consumption per furnace cycle The total amount of gas used. The received basis lower heating value of the gas is used. The carbon content per unit calorific value of the gas used. for The total amount, for The received low-grade heat of heat, for The unit calorific value and carbon content; The carbon oxidation rate of converter gas.
[0023] Step 7: Calculate the indirect emissions for each furnace cycle by combining real-time energy consumption data (electricity consumption data, heat recovery data); Step 8: Calculation formula for carbon emissions of steel enterprises
[0024] in
[0025] Product output for each furnace batch For each heat batch, the total carbon emission curve and carbon emission curve per ton of steel for the converter steelmaking process are generated based on the carbon content of the product. The total carbon emission curve and carbon emission curve per ton of steel for each converter equipment are generated based on the converter heat number of each heat batch. The total carbon emission curve and carbon emission curve per ton of steel for each steel grade are generated based on the steel grade of each heat batch. Step Nine: Compare the carbon emissions per ton of steel for each heat based on production data such as different converter heat numbers, scrap steel content, steel grades produced, and oxygen blowing duration. Use cluster analysis to identify process differences. Feed the results back to the steelmaking control system, providing suggestions for adjusting steelmaking feedstock, oxygen supply intensity, or coolant addition to optimize carbon efficiency and reduce carbon emissions. Following these suggestions can reduce carbon emission intensity per ton of steel by 5%-15%.
[0026] The present invention has been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the embodiments described above. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention. Many other changes and modifications made without departing from the concept and scope of the present invention should be considered within the scope of protection of the present invention.
[0027] In the description of this specification, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.
[0028] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A method for real-time calculation of carbon emissions from converter steelmaking, characterized in that, The method includes the following steps: Calculation process carbon emissions ; Calculate the carbon emissions implied by carbon-containing products. ; Calculate the carbon emissions from consuming fossil fuels ; Calculate indirect carbon emissions ; The carbon emissions from converter steelmaking are calculated using the following formula: 。 2. The real-time calculation method for carbon emissions from converter steelmaking as described in claim 1, characterized in that, Calculation process carbon emissions The steps are as follows Real-time data collection of converter scrap input, molten iron composition and input, auxiliary material input, post-furnace molten steel composition, and flue gas composition for each heat cycle; Based on the material conservation and reaction kinetic equations, the theoretical process emissions of converter equipment for each heat of converter steelmaking are calculated. Actual carbon emissions are derived from flue gas composition and dynamically weighted and fused with theoretical values to calculate the process emissions for each furnace cycle, thereby eliminating errors from a single model.
3. The method for real-time calculation of carbon emissions from converter steelmaking as described in claim 1, characterized in that, Calculate the carbon emissions from consuming fossil fuels; Real-time data collection of total gas pipe flow rate, converter gas pipe flow rate, gas recovery time, and gas content; Based on the real-time collected total gas pipe flow and converter gas pipe flow, the gas consumption and converter gas recovery are calculated through the corresponding furnace operation time. Calculate the fossil fuel consumption and emissions from each furnace cycle.
4. The method for real-time calculation of carbon emissions from converter steelmaking as described in claim 3, characterized in that, The formula for calculating the emissions from fossil fuel combustion per furnace cycle is as follows: Emissions from fossil fuel consumption per furnace cycle The total amount of gas used. The received basis lower heating value of the gas is used. The carbon content per unit calorific value of the gas used. for The total amount, for The received low-grade heat of heat, for The unit calorific value and carbon content; The carbon oxidation rate of converter gas.
5. The real-time calculation method for carbon emissions from converter steelmaking as described in claim 1, characterized in that, Product output for each furnace batch Carbon content of products for each batch.
6. The method for real-time calculation of carbon emissions from converter steelmaking as described in claim 1, characterized in that, It also includes the following steps: Generate the total carbon emission curve and carbon emission curve per ton of steel for the converter steelmaking process. Generate the total carbon emission curve and carbon emission curve per ton of steel for each converter equipment based on the converter heat number for each heat. Generate the total carbon emission curve and carbon emission curve per ton of steel for each steel grade based on the steel grade for each heat.
7. The real-time calculation method for carbon emissions from converter steelmaking as described in claim 1, characterized in that, It also includes the following steps: By comparing the carbon emissions per ton of steel for each heat based on production data such as different converter heat numbers, scrap steel content, steel grades produced, and oxygen blowing duration, and by using cluster analysis to identify process differences, the results are fed back to the steelmaking control system to dynamically adjust steelmaking feedstock, oxygen supply intensity, or coolant addition to optimize carbon efficiency.