A method and system for predicting molten steel cost and carbon footprint

Abstract

This invention relates to a method and system for predicting steel costs and carbon footprints, belonging to the technical field of metallurgical industrial equipment and methods. The technical solution of this invention is as follows: It establishes the relationships between tapping time, ladle temperature, and molten steel temperature; the relationship between scrap addition and molten steel equilibrium temperature; the relationship between ladle holding time and LF (forging furnace) inlet molten steel temperature; and the functional relationship between molten steel temperature rise and LF furnace power consumption. Simultaneously, it combines the changes in scrap, argon, and electricity consumption during the above processes to indirectly establish the relationship between process parameters and reference carbon footprints and reference costs of molten steel. It constructs a benchmark process scheme and a predicted process scheme and compares them, converting the reference carbon footprint and reference cost into actual carbon footprints and actual costs. The beneficial effects of this invention are: it achieves the goal of predicting steel costs and carbon footprints under different process schemes, and can guide steel companies in responding to the dual control requirements of downstream customers regarding carbon footprint and cost.

Description

Technical Field

[0001] This invention relates to a method and system for predicting the cost and carbon footprint of molten steel, belonging to the technical field of metallurgical industrial equipment and methods. Background Technology

[0002] As the global steel industry moves towards decarbonization, an increasing number of steel material purchasers are explicitly demanding disclosure of product carbon footprints. To maintain a competitive edge in the market, downstream steel users often require both a significant reduction in the carbon footprint of steel materials and that the resulting cost increases be kept within acceptable limits. This market orientation is driving steel companies to accelerate the transformation of their production models, shifting from traditional standardized production to parametric customization. The stage from converter steelmaking to refining and finishing is the most effective link in the entire steel production process for dual control of cost and carbon footprint due to its process flexibility, technological integration, and dynamic response capabilities. Currently, the production of low-carbon steel often adopts a method of producing first and then calculating costs and carbon footprints afterwards. This method is highly unreliable and can easily lead to steel product costs or carbon footprints failing to meet downstream user requirements, or to excess carbon reduction in steel products, resulting in a waste of green and low-carbon resources. Summary of the Invention

[0003] The purpose of this invention is to provide a method and system for predicting steel costs and carbon footprints. By establishing the relationship between process control parameters and materials, energy, and media based on the converter tapping, ladle scrap addition, ladle transfer, and LF heating processes, and further combining cost and carbon emission factors, the invention aims to predict steel costs and carbon footprints under different process schemes. This eliminates the blindness of traditional "production first, accounting later" post-evaluation methods, avoids product downgrading due to non-compliance with customer requirements, and prevents waste of green and low-carbon resources caused by excess carbon reduction. It effectively solves the aforementioned problems existing in the background technology.

[0004] The technical solution of this invention is: a method for predicting steel cost and carbon footprint, comprising the following steps:

[0005] (a) For the converter tapping process, with the converter smelting endpoint temperature as the first initial temperature, establish a binary function relationship between the converter tapping time, the no-load ladle temperature and the molten steel temperature after tapping; at the same time, obtain the actual carbon footprint and actual cost of the molten steel tapped from the converter.

[0006] (b) Using the temperature of molten steel after the converter tapping is the second initial temperature, establish a functional relationship between the amount of scrap steel added and the equilibrium temperature of molten steel; obtain the carbon footprint and cost of scrap steel, and calculate the reference carbon footprint and reference cost of the mixed molten steel after all the scrap steel has been melted.

[0007] (c) Using the steel equilibrium temperature after adding scrap steel as the third initial temperature, establish a functional relationship between the heavy-load ladle transfer time and the molten steel temperature entering the LF station; obtain the bottom blowing argon flow rate and auxiliary motor power during the heavy-load ladle transfer, calculate the bottom blowing argon volume and power consumption during the heavy-load ladle transfer, obtain the carbon footprint and cost of argon and electricity, and calculate the reference carbon footprint and reference cost of molten steel entering the LF station.

[0008] (d) Using the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the endpoint temperature, establish a functional relationship between molten steel temperature rise and power consumption; calculate the LF power consumption for molten steel temperature rise, and calculate the reference carbon footprint and reference cost of LF outlet molten steel.

[0009] (e) Using normalized production as the benchmark process scheme, obtain the following parameters of the benchmark process scheme: converter tapping time, no-load ladle temperature, scrap steel addition amount and heavy-load ladle transfer time; adjust the parameters of the benchmark process scheme to form a predictive process scheme for producing low-carbon emission steel.

[0010] (f) Following steps (a) to (d), calculate the reference carbon footprint and reference cost of the LF-outgoing molten steel for the baseline process scheme and the predicted process scheme, respectively; and calculate the difference in reference carbon footprint and reference cost between the baseline process scheme and the predicted process scheme; obtain the actual carbon footprint and actual cost of the LF-outgoing molten steel for the baseline process scheme, and calculate the actual carbon footprint and actual cost of the LF-outgoing molten steel for the predicted process scheme based on the difference in reference carbon footprint and reference cost between the baseline process scheme and the predicted process scheme.

[0011] In step (a), the bivariate function between the converter tapping time, the no-load ladle temperature, and the molten steel temperature after tapping is obtained by plotting a three-dimensional scatter plot using historical data with the converter tapping time as the x-axis, the no-load ladle temperature as the y-axis, and the molten steel temperature after tapping as the z-axis, and then using a regression method to obtain the regression equation.

[0012] In step (b), the function relating the amount of scrap steel added to the equilibrium temperature of the molten steel is:

[0013]

[0014] Among them, T 平衡 The temperature at which scrap steel reaches equilibrium after being added to molten steel; C s C is the specific heat capacity of solid steel. l Specific heat capacity of liquid steel; T r T is the melting temperature of scrap steel. e L represents ambient temperature; T represents the latent heat of molten steel; L represents the latent heat of molten steel. c The temperature of the molten steel after the converter tapping is complete; x is the amount of scrap steel added; M0 is the amount of steel tapped from the converter.

[0015] The reference carbon footprint and reference cost calculation formulas for blended molten steel are as follows:

[0016]

[0017]

[0018] in, Reference carbon footprint for mixing molten steel; Reference cost for mixing molten steel; The carbon footprint of converter steel; The carbon footprint of scrap steel; The cost of molten steel in a converter; The cost of scrap steel.

[0019] In step (c), the method for determining the function relationship between the heavy-load ladle holding time and the molten steel temperature entering the LF station is as follows:

[0020] Assuming the heat transfer from the heavy-load ladle to the environment is steady-state, the slag surface temperature, ladle wall temperature, and ladle bottom temperature are predicted based on the equilibrium temperature of the molten steel after the addition of scrap steel, according to the following formula. The ambient temperature and ladle dimensions are obtained, and considering convective and radiative heat transfer, the total convective and radiative heat dissipation power of the ladle is calculated. Furthermore, the cooling rate of the molten steel is calculated. ;

[0021]

[0022]

[0023]

[0024] in, The temperature of the slag surface; The temperature at which the outer wall is located; This refers to the temperature at the bottom of the bag. This refers to the temperature difference between molten steel and slag surface, with a range of 80℃-250℃, determined based on historical data of slag formation in different enterprises. This is the temperature difference between the molten steel and the outer surface of the ladle wall or bottom, with a range of 1250℃-1400℃, determined based on historical data of different companies' ladle conditions. The temperature of the molten steel entering the LF station; t is the cooling rate of molten steel; t is the holding time of the heavy-load ladle.

[0025] The reference carbon footprint and reference cost calculation formulas for molten steel entering the LF station are as follows:

[0026]

[0027] in, The reference carbon footprint of molten steel entering the LF station; This serves as a reference cost for molten steel entering the LF station. The flow rate of argon gas blown into the ladle; The carbon footprint of argon; Power of auxiliary motor equipment; The carbon footprint of electricity; The cost of argon; The cost of electricity.

[0028] In step (d), the method for determining the function relationship between molten steel temperature rise and power consumption is as follows:

[0029]

[0030] Where W is the power consumption for heating LF molten steel; η is the thermal efficiency of converting the input power of the LF furnace electrodes into heat of the molten steel. The target molten steel temperature for LF station exit;

[0031] The reference carbon footprint and reference cost calculation formulas for LF-type molten steel are as follows:

[0032]

[0033]

[0034] in, The reference carbon footprint of molten steel leaving LF station; This is a reference cost for molten steel leaving the LF station.

[0035] In step (f), the actual carbon footprint and actual cost of the molten steel leaving the LF station for the predicted process scheme are calculated using the following formula:

[0036]

[0037]

[0038] in, To predict the actual carbon footprint of molten steel leaving the LF process station; The actual carbon footprint of molten steel leaving the LF station as a benchmark process; To provide a reference carbon footprint for predicting the LF process output steel; Reference carbon footprint of molten steel leaving the LF station for the baseline process scheme; To predict the actual cost of molten steel leaving the LF station in the process scheme; The actual cost of molten steel leaving the LF station based on the benchmark process scheme; To predict the reference carbon cost of molten steel leaving the LF station in the process scheme; This is a reference cost for molten steel leaving the LF station based on the benchmark process.

[0039] A system for predicting steel costs and carbon footprint includes a converter tapping module, a ladle scrap addition module, a ladle reflux module, an LF furnace heating module, a scheme construction module, and a result prediction module. The converter tapping module matches the converter tapping process. The ladle scrap addition module uses the steel temperature after converter tapping as a second initial temperature to establish a functional relationship between the amount of scrap added and the steel equilibrium temperature. The ladle reflux module uses the steel equilibrium temperature after adding scrap as a third initial temperature to establish a functional relationship between the heavy-load ladle reflux duration and the LF furnace inlet steel temperature. Functional relationship: The LF furnace heating module is used to establish a functional relationship between molten steel heating and power consumption, with the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the endpoint temperature; the converter tapping module, ladle scrap addition module, ladle transfer module, and LF furnace heating module are respectively connected to the input of the scheme construction module, which outputs the baseline process scheme and the predicted process scheme; the result prediction module is connected to the output of the scheme construction module to calculate the actual carbon footprint and actual cost of the LF outlet molten steel in the predicted process scheme.

[0040] An electronic device for predicting steel costs and carbon footprints includes a memory for storing a computer program and a processor for executing the computer program, the processor being configured to invoke instructions stored in the memory.

[0041] A computer-readable storage medium for predicting steel costs and carbon footprints, storing a computer program that, when executed, is used to implement a method for predicting steel costs and carbon footprints.

[0042] The beneficial effects of this invention are: by establishing the relationship between process control parameters and materials, energy, and media based on the converter tapping, ladle scrap addition, ladle transfer, and LF heating process, and further combining cost and carbon emission factors, the invention aims to predict the cost and carbon footprint of molten steel under different process schemes. This eliminates the blindness of traditional post-event evaluation methods such as "production first, accounting later," and avoids the waste of green and low-carbon resources caused by product downgrading or excess carbon reduction due to products not meeting customer requirements. Attached Figure Description

[0043] Figure 1 This is a flowchart of the method of the present invention;

[0044] Figure 2 This is a system structure block diagram of the present invention. Detailed Implementation

[0045] To make the purpose, technical solutions, and advantages of the invention's embodiments clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only a small part of the embodiments of the present invention, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the protection scope of the present invention.

[0046] A method for predicting steel costs and carbon footprints includes the following steps:

[0047] (a) For the converter tapping process, with the converter smelting endpoint temperature as the first initial temperature, establish a binary function relationship between the converter tapping time, the no-load ladle temperature and the molten steel temperature after tapping; at the same time, obtain the actual carbon footprint and actual cost of the molten steel tapped from the converter.

[0048] (b) Using the temperature of molten steel after the converter tapping is the second initial temperature, establish a functional relationship between the amount of scrap steel added and the equilibrium temperature of molten steel; obtain the carbon footprint and cost of scrap steel, and calculate the reference carbon footprint and reference cost of the mixed molten steel after all the scrap steel has been melted.

[0049] (c) Using the steel equilibrium temperature after adding scrap steel as the third initial temperature, establish a functional relationship between the heavy-load ladle transfer time and the molten steel temperature entering the LF station; obtain the bottom blowing argon flow rate and auxiliary motor power during the heavy-load ladle transfer, calculate the bottom blowing argon volume and power consumption during the heavy-load ladle transfer, obtain the carbon footprint and cost of argon and electricity, and calculate the reference carbon footprint and reference cost of molten steel entering the LF station.

[0050] (d) Using the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the endpoint temperature, establish a functional relationship between molten steel temperature rise and power consumption; calculate the LF power consumption for molten steel temperature rise, and calculate the reference carbon footprint and reference cost of LF outlet molten steel.

[0051] (e) Using normalized production as the benchmark process scheme, obtain the following parameters of the benchmark process scheme: converter tapping time, no-load ladle temperature, scrap steel addition amount and heavy-load ladle transfer time; adjust the parameters of the benchmark process scheme to form a predictive process scheme for producing low-carbon emission steel.

[0052] (f) Following steps (a) to (d), calculate the reference carbon footprint and reference cost of the LF-outgoing molten steel for the baseline process scheme and the predicted process scheme, respectively; and calculate the difference in reference carbon footprint and reference cost between the baseline process scheme and the predicted process scheme; obtain the actual carbon footprint and actual cost of the LF-outgoing molten steel for the baseline process scheme, and calculate the actual carbon footprint and actual cost of the LF-outgoing molten steel for the predicted process scheme based on the difference in reference carbon footprint and reference cost between the baseline process scheme and the predicted process scheme.

[0053] In step (a), the bivariate function between the converter tapping time, the no-load ladle temperature, and the molten steel temperature after tapping is obtained by plotting a three-dimensional scatter plot using historical data with the converter tapping time as the x-axis, the no-load ladle temperature as the y-axis, and the molten steel temperature after tapping as the z-axis, and then using a regression method to obtain the regression equation.

[0054] In step (b), the function relating the amount of scrap steel added to the equilibrium temperature of the molten steel is:

[0055]

[0056] Among them, T 平衡 The temperature at which scrap steel reaches equilibrium after being added to molten steel; C s C is the specific heat capacity of solid steel. l Specific heat capacity of liquid steel; T r T is the melting temperature of scrap steel. e L represents ambient temperature; T represents the latent heat of molten steel; L represents the latent heat of molten steel. c The temperature of the molten steel after the converter tapping is complete; x is the amount of scrap steel added; M0 is the amount of steel tapped from the converter.

[0057] The reference carbon footprint and reference cost calculation formulas for blended molten steel are as follows:

[0058]

[0059]

[0060] in, Reference carbon footprint for mixing molten steel; Reference cost for mixing molten steel; The carbon footprint of converter steel; The carbon footprint of scrap steel; The cost of molten steel in a converter; The cost of scrap steel.

[0061] In step (c), the method for determining the function relationship between the heavy-load ladle holding time and the molten steel temperature entering the LF station is as follows:

[0062] Assuming the heat transfer from the heavy-load ladle to the environment is steady-state, the slag surface temperature, ladle wall temperature, and ladle bottom temperature are predicted based on the equilibrium temperature of the molten steel after the addition of scrap steel, according to the following formula. The ambient temperature and ladle dimensions are obtained, and considering convective and radiative heat transfer, the total convective and radiative heat dissipation power of the ladle is calculated. Furthermore, the cooling rate of the molten steel is calculated. ;

[0063]

[0064]

[0065]

[0066] in, The temperature of the slag surface; The temperature at which the outer wall is located; This refers to the temperature at the bottom of the bag. This refers to the temperature difference between molten steel and slag surface, with a range of 80℃-250℃, determined based on historical data of slag formation in different enterprises. This is the temperature difference between the molten steel and the outer surface of the ladle wall or bottom, with a range of 1250℃-1400℃, determined based on historical data of different companies' ladle conditions. The temperature of the molten steel entering the LF station; t is the cooling rate of molten steel; t is the holding time of the heavy-load ladle.

[0067] The reference carbon footprint and reference cost calculation formulas for molten steel entering the LF station are as follows:

[0068]

[0069] in, The reference carbon footprint of molten steel entering the LF station; This serves as a reference cost for molten steel entering the LF station. The flow rate of argon gas blown into the ladle; The carbon footprint of argon; Power of auxiliary motor equipment; The carbon footprint of electricity; The cost of argon; The cost of electricity.

[0070] In step (d), the method for determining the function relationship between molten steel temperature rise and power consumption is as follows:

[0071]

[0072] Where W is the power consumption for heating LF molten steel; η is the thermal efficiency of converting the input power of the LF furnace electrodes into heat of the molten steel. The target molten steel temperature for LF station exit;

[0073] The reference carbon footprint and reference cost calculation formulas for LF-type molten steel are as follows:

[0074]

[0075]

[0076] in, The reference carbon footprint of molten steel leaving LF station; This is a reference cost for molten steel leaving the LF station.

[0077] In step (f), the actual carbon footprint and actual cost of the molten steel leaving the LF station for the predicted process scheme are calculated using the following formula:

[0078]

[0079]

[0080] in, To predict the actual carbon footprint of molten steel leaving the LF process station; The actual carbon footprint of molten steel leaving the LF station as a benchmark process; To provide a reference carbon footprint for predicting the LF process output steel; Reference carbon footprint of molten steel leaving the LF station for the baseline process scheme; To predict the actual cost of molten steel leaving the LF station in the process scheme; The actual cost of molten steel leaving the LF station based on the benchmark process scheme; To predict the reference carbon cost of molten steel leaving the LF station in the process scheme; This is a reference cost for molten steel leaving the LF station based on the benchmark process.

[0081] A system for predicting steel costs and carbon footprint includes a converter tapping module, a ladle scrap addition module, a ladle reflux module, an LF furnace heating module, a scheme construction module, and a result prediction module. The converter tapping module matches the converter tapping process. The ladle scrap addition module uses the steel temperature after converter tapping as a second initial temperature to establish a functional relationship between the amount of scrap added and the steel equilibrium temperature. The ladle reflux module uses the steel equilibrium temperature after adding scrap as a third initial temperature to establish a functional relationship between the heavy-load ladle reflux duration and the LF furnace inlet steel temperature. Functional relationship: The LF furnace heating module is used to establish a functional relationship between molten steel heating and power consumption, with the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the endpoint temperature; the converter tapping module, ladle scrap addition module, ladle transfer module, and LF furnace heating module are respectively connected to the input of the scheme construction module, which outputs the baseline process scheme and the predicted process scheme; the result prediction module is connected to the output of the scheme construction module to calculate the actual carbon footprint and actual cost of the LF outlet molten steel in the predicted process scheme.

[0082] An electronic device for predicting steel costs and carbon footprints includes a memory for storing a computer program and a processor for executing the computer program, the processor being configured to invoke instructions stored in the memory.

[0083] A computer-readable storage medium for predicting steel costs and carbon footprints, storing a computer program that, when executed, is used to implement a method for predicting steel costs and carbon footprints.

[0084] In practical applications, this invention establishes the relationship between process control parameters and materials, energy, and media based on the converter tapping, ladle scrap addition, ladle transfer, and LF heating processes. Furthermore, by combining cost and carbon emission factors, it aims to predict the cost and carbon footprint of molten steel under different process schemes.

[0085] In a first aspect, to address the aforementioned technical problems, the present invention provides a method for predicting steel costs and carbon footprints, comprising the following steps:

[0086] (a) For the converter tapping process, with the converter smelting endpoint temperature as the first initial temperature, establish a binary function relationship between the converter tapping time, the no-load ladle temperature and the molten steel temperature after tapping; at the same time, obtain the actual carbon footprint and actual cost of the molten steel tapped from the converter.

[0087] (b) Using the temperature of molten steel after the converter tapping is the second initial temperature, establish a functional relationship between the amount of scrap steel added and the equilibrium temperature of molten steel; obtain the carbon footprint and cost of scrap steel, and calculate the reference carbon footprint and reference cost of the mixed molten steel after all the scrap steel has been melted.

[0088] (c) Using the equilibrium temperature of molten steel after adding scrap steel as the third initial temperature, establish a functional relationship between the duration of heavy-load ladle transfer and the temperature of molten steel entering the LF station; obtain the bottom-blown argon flow rate and auxiliary motor power during the heavy-load ladle transfer, calculate the bottom-blown argon volume and power consumption during the heavy-load ladle transfer, obtain the carbon footprint and cost of argon and electricity, and calculate the reference carbon footprint and reference cost of molten steel entering the LF station.

[0089] (d) Using the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the endpoint temperature, establish a functional relationship between molten steel temperature rise and power consumption; calculate the LF power consumption for molten steel temperature rise, and calculate the reference carbon footprint and reference cost of LF outlet molten steel;

[0090] (e) Using normalized production as the benchmark process scheme, obtain the following parameters of the benchmark process scheme: converter tapping time, no-load ladle temperature, scrap steel addition amount, and heavy-load ladle transfer time; adjust the parameters of the benchmark process scheme to form a predictive process scheme for producing low-carbon emission steel.

[0091] (f) Following steps (a) to (d), calculate the reference carbon footprint and reference cost of the LF-outgoing molten steel for the benchmark process scheme and the predicted process scheme, respectively; and calculate the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme; obtain the actual carbon footprint and actual cost of the LF-outgoing molten steel for the benchmark process scheme, and calculate the actual carbon footprint and actual cost of the LF-outgoing molten steel for the predicted process scheme based on the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme.

[0092] In step (a), the bivariate function between the converter tapping time, the no-load ladle temperature, and the molten steel temperature after tapping is obtained by plotting a three-dimensional scatter plot using historical data with the converter tapping time as the x-axis, the no-load ladle temperature as the y-axis, and the molten steel temperature after tapping as the z-axis, and then using a regression method to obtain the regression equation.

[0093] In step (b), the function relating the amount of scrap steel added to the equilibrium temperature of the molten steel is:

[0094] (1)

[0095] Among them, T 平衡 The temperature at which scrap steel reaches equilibrium after being added to molten steel; C s C is the specific heat capacity of solid steel. l Specific heat capacity of liquid steel; T r T is the melting temperature of scrap steel. e L represents ambient temperature; T represents the latent heat of molten steel; L represents the latent heat of molten steel. c The temperature of the molten steel after the converter tapping is complete; x is the amount of scrap steel added; M0 is the amount of steel tapped from the converter.

[0096] The reference carbon footprint and reference cost calculation formulas for blended molten steel are as follows:

[0097] (2)

[0098] (3)

[0099] in, Reference carbon footprint for mixing molten steel; Reference cost for mixing molten steel; The carbon footprint of converter steel; The carbon footprint of scrap steel; The cost of molten steel in a converter; The cost of scrap steel.

[0100] In step (c), the method for determining the function relationship between the heavy-load ladle holding time and the molten steel temperature entering the LF station is as follows:

[0101] Assuming the heat transfer from the heavy-load ladle to the environment is steady-state, the slag surface temperature, ladle wall temperature, and ladle bottom temperature are predicted based on the equilibrium temperature of the molten steel after the addition of scrap steel, according to the following formula. The ambient temperature and ladle dimensions are obtained, and considering convective and radiative heat transfer, the total convective and radiative heat dissipation power of the ladle is calculated. Furthermore, the cooling rate of the molten steel is calculated. ;

[0102] (4)

[0103] (5)

[0104] (6)

[0105] in, The temperature of the slag surface; The temperature at which the outer wall is located; This refers to the temperature at the bottom of the bag. This refers to the temperature difference between molten steel and slag surface, with a range of 80℃-250℃, determined based on historical data of slag formation in different enterprises. This is the temperature difference between the molten steel and the outer surface of the ladle wall or bottom, with a range of 1250℃-1400℃, determined based on historical data of different companies' ladle conditions. The temperature of the molten steel entering the LF station; t is the cooling rate of molten steel; t is the holding time of the heavy-load ladle.

[0106] The reference carbon footprint and reference cost calculation formulas for molten steel entering the LF station are as follows:

[0107] (7)

[0108] (8)

[0109] in, The reference carbon footprint of molten steel entering the LF station; This serves as a reference cost for molten steel entering the LF station. The flow rate of argon gas blown into the ladle; The carbon footprint of argon; Power of auxiliary motor equipment; The carbon footprint of electricity; The cost of argon; The cost of electricity.

[0110] In step (d), the method for determining the function relationship between molten steel temperature rise and power consumption is as follows:

[0111] (9)

[0112] Where W is the power consumption for heating LF molten steel; η is the thermal efficiency of converting the input power of the LF furnace electrodes into heat of the molten steel. The target molten steel temperature for LF station exit;

[0113] The reference carbon footprint and reference cost calculation formulas for LF-type molten steel are as follows:

[0114] (10)

[0115] (11)

[0116] in, The reference carbon footprint of molten steel leaving LF station; This is a reference cost for molten steel leaving the LF station.

[0117] In step (f), the actual carbon footprint and actual cost of the molten steel leaving the LF station in the predicted process scheme are calculated using the following formula:

[0118] (12)

[0119] (13)

[0120] in, To predict the actual carbon footprint of molten steel leaving the LF process station; The actual carbon footprint of molten steel leaving the LF station as a benchmark process; To provide a reference carbon footprint for predicting the LF process output steel; Reference carbon footprint of molten steel leaving the LF station for the baseline process scheme; To predict the actual cost of molten steel leaving the LF station in the process scheme; The actual cost of molten steel leaving the LF station based on the benchmark process scheme; To predict the reference carbon cost of molten steel leaving the LF station in the process scheme; This is a reference cost for molten steel leaving the LF station based on the benchmark process.

[0121] In a second aspect, the present invention provides a system for predicting steel costs and carbon footprints, comprising:

[0122] The converter tapping module is used to establish a binary function relationship between the converter tapping time, the no-load ladle temperature, and the molten steel temperature after tapping, with the converter smelting endpoint temperature as the first initial temperature. At the same time, it obtains the actual carbon footprint and actual cost of the molten steel tapped from the converter.

[0123] The steel ladle scrap addition module is used to establish a functional relationship between the amount of scrap added and the equilibrium temperature of molten steel, with the temperature of molten steel after the converter tapping is taken as the second initial temperature; to obtain the carbon footprint and cost of scrap, and to calculate the reference carbon footprint and reference cost of the mixed molten steel after all the scrap has melted;

[0124] The ladle transfer module is used to establish a functional relationship between the heavy-load ladle transfer time and the molten steel temperature entering the LF station, using the molten steel equilibrium temperature after adding scrap steel as the third initial temperature; to obtain the bottom-blown argon flow rate and auxiliary motor power during the heavy-load ladle transfer, to calculate the bottom-blown argon volume and power consumption during the heavy-load ladle transfer, to obtain the carbon footprint and cost of argon and electricity, and to calculate the reference carbon footprint and reference cost of the molten steel entering the LF station;

[0125] The LF furnace heating module is used to establish a functional relationship between molten steel heating and power consumption, with the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the end temperature; calculate the LF power consumption for molten steel heating, and calculate the reference carbon footprint and reference cost of the LF outlet molten steel.

[0126] The scheme construction module is used to obtain the following parameters of the benchmark process scheme based on normal production: converter tapping time, no-load ladle temperature, scrap steel addition amount, and heavy-load ladle transfer time; and adjust the parameters of the benchmark process scheme to form a predictive process scheme for producing low-carbon emission steel.

[0127] The results prediction module is used to calculate the reference carbon footprint and reference cost of LF-leaved molten steel for the benchmark process scheme and the predicted process scheme respectively; and to calculate the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme; to obtain the actual carbon footprint and actual cost of LF-leaved molten steel for the benchmark process scheme; and to calculate the actual carbon footprint and actual cost of LF-leaved molten steel for the predicted process scheme based on the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme.

[0128] Thirdly, the present invention also provides an electronic device, comprising: a memory for storing a computer program; and a processor for executing the computer program; wherein the processor is configured to invoke instructions stored in the memory to perform the steps of the method described in any of the first aspects of the present invention.

[0129] Fourthly, the present invention also provides a computer-readable storage medium for storing a computer program, the computer-readable storage medium including the stored computer program, which, when executed by the processor, implements the steps of the method described in any one of the first aspects of the present invention.

[0130] Example:

[0131] The first embodiment of the present invention provides a method for predicting steel cost and carbon footprint, comprising the following steps:

[0132] (a) For the converter tapping process, with the converter smelting endpoint temperature as the first initial temperature, establish a binary function relationship between the converter tapping time, the no-load ladle temperature and the molten steel temperature after tapping; at the same time, obtain the actual carbon footprint and actual cost of the molten steel tapped from the converter.

[0133] In this embodiment, the final temperature of the converter smelting is taken as 1610℃. The bivariate function relating the converter tapping time, the empty ladle temperature, and the molten steel temperature after tapping is plotted using historical data, with the converter tapping time as the x-axis, the empty ladle temperature as the y-axis, and the molten steel temperature after tapping as the z-axis. A three-dimensional scatter plot is then generated, and a regression equation is obtained using a regression method. It is worth noting that the regression process uses the converter tapping time and the empty ladle temperature as two independent variables, and the molten steel temperature after tapping as the dependent variable. Before plotting the three-dimensional scatter plot, the historical data should first undergo data cleaning to remove significant outliers. In this embodiment, the regression equation is z = 1481 - 0.0489 × x + 0.142 × y.

[0134] The actual carbon footprint of the molten steel tapped from the converter is calculated according to ISO14067, and in this embodiment, it is taken as 1800 kgCO2e / t; the actual cost of the molten steel tapped from the converter is obtained directly from the production enterprise's financial system, and in this embodiment, it is taken as 3100 yuan / ton.

[0135] (b) Using the temperature of molten steel after the converter tapping is the second initial temperature, establish a functional relationship between the amount of scrap steel added and the equilibrium temperature of molten steel; obtain the carbon footprint and cost of scrap steel, and calculate the reference carbon footprint and reference cost of the mixed molten steel after all the scrap steel has been melted.

[0136] In this embodiment, the function relating the amount of scrap steel added to the equilibrium temperature of the molten steel is:

[0137] (1)

[0138] Among them, T 平衡 The temperature at which scrap steel reaches equilibrium after being added to molten steel; C s C is the specific heat capacity of solid steel. l Specific heat capacity of liquid steel; T r T is the melting temperature of scrap steel. e L represents ambient temperature; T represents the latent heat of molten steel; L represents the latent heat of molten steel. c The temperature of molten steel after tapping from the converter is denoted as ; x is the amount of scrap steel added; M0 is the amount of steel tapped from the converter; in this embodiment, C... s C l T r T e The values ​​for L and M0 are shown in Table 1 below:

[0139] Table 1 C in this embodiment s C l T r T e Values ​​of L and M0

[0140] Parameter name <![CDATA[C s ]]> <![CDATA[C l ]]> <![CDATA[T r ]]> <![CDATA[T e ]]> L <![CDATA[M0]]> unit kJ / (kg·℃) kJ / (kg·℃) ℃ ℃ kJ / kg t Value 0.699 0.837 1500 25 272 270

[0141] The reference carbon footprint and reference cost calculation formulas for blended molten steel are as follows:

[0142] (2)

[0143] (3)

[0144] in, Reference carbon footprint for mixing molten steel; Reference cost for mixing molten steel; The carbon footprint of the converter steel is taken as 1800 kgCO2e / t in this embodiment; The carbon footprint of scrap steel is taken as 100 kgCO2e / t in this embodiment; The cost of molten steel for converter is taken as 3100 yuan / ton in this embodiment; The cost of scrap steel is set at 2800 yuan / ton in this embodiment.

[0145] (c) Using the equilibrium temperature of molten steel after adding scrap steel as the third initial temperature, establish a functional relationship between the duration of heavy-load ladle transfer and the temperature of molten steel entering the LF station; obtain the bottom-blown argon flow rate and auxiliary motor power during the heavy-load ladle transfer, calculate the bottom-blown argon volume and power consumption during the heavy-load ladle transfer, obtain the carbon footprint and cost of argon and electricity, and calculate the reference carbon footprint and reference cost of molten steel entering the LF station.

[0146] In this embodiment, the method for determining the function relationship between the heavy-load ladle holding time and the molten steel temperature at the LF station is as follows:

[0147] Assuming the heat transfer from the heavy-load ladle to the environment is steady-state, the slag surface temperature, ladle wall temperature, and ladle bottom temperature are predicted based on the equilibrium temperature of the molten steel after the addition of scrap steel, according to the following formula. The ambient temperature and ladle dimensions are obtained, and considering convective and radiative heat transfer, the total convective and radiative heat dissipation power of the ladle is calculated. Furthermore, the cooling rate of the molten steel is calculated. ;

[0148] (4)

[0149] (5)

[0150] (6)

[0151] in, The temperature of the slag surface; The temperature at which the outer wall is located; This refers to the temperature at the bottom of the bag. The temperature difference between the molten steel and the slag surface is 200℃-500℃, and is determined based on historical data of slag formation in different enterprises. In this embodiment, the value is 432℃. This is the temperature difference between the molten steel and the outer surface of the ladle wall or bottom, with a range of 1250℃-1400℃. It is determined based on historical data of different companies' ladles, and in this embodiment, the value is 1312℃. The temperature of the molten steel entering the LF station; t is the cooling rate of molten steel; t is the holding time of the heavy-load ladle.

[0152] The reference carbon footprint and reference cost calculation formulas for molten steel entering the LF station are as follows:

[0153] (7)

[0154] (8)

[0155] in, The reference carbon footprint of molten steel entering the LF station; This serves as a reference cost for molten steel entering the LF station. The flow rate of argon gas blown from the bottom of the ladle is 0.8 m³ / s in this embodiment. 3 / min; The carbon footprint of argon is taken as 0.5 kgCO2 / m³ in this embodiment. 3 ; The power of the auxiliary motor equipment is taken as 1250kW in this embodiment; The carbon footprint of electricity is taken as 1.4 kgCO2 / kWh in this embodiment; The cost of argon gas is set at 1 yuan / m3 in this embodiment; The cost of electricity is set at 0.6 yuan / kWh in this embodiment.

[0156] (d) Using the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the endpoint temperature, establish a functional relationship between molten steel temperature rise and power consumption; calculate the LF power consumption for molten steel temperature rise, and calculate the reference carbon footprint and reference cost of LF outlet molten steel;

[0157] In this embodiment, the method for determining the function relationship between molten steel temperature rise and power consumption is as follows:

[0158] (9)

[0159] Where W is the power consumption for heating the LF molten steel; η is the thermal efficiency of converting the input power to the LF furnace electrodes into heat in the molten steel, which is taken as 60% in this embodiment; The target molten steel temperature at the LF outlet; in this embodiment, the target molten steel temperature at the LF outlet... The value is set at 1580℃;

[0160] The reference carbon footprint and reference cost calculation formulas for LF-type molten steel are as follows:

[0161] (10)

[0162] (11)

[0163] in, The reference carbon footprint of molten steel leaving LF station; This is a reference cost for molten steel leaving the LF station.

[0164] (e) Using normalized production as the benchmark process scheme, obtain the following parameters of the benchmark process scheme: converter tapping time, no-load ladle temperature, scrap steel addition amount, and heavy-load ladle transfer time; adjust the parameters of the benchmark process scheme to form a predictive process scheme for producing low-carbon emission steel.

[0165] In this embodiment, the values ​​of converter tapping time, no-load ladle temperature, scrap steel addition amount, and heavy-load ladle transfer time under the baseline process scheme and the predicted process scheme are shown in Table 2 below:

[0166] Table 2. Parameter values ​​for baseline and predicted process schemes

[0167] Parameter name Converter tapping time Unloaded ladle temperature Scrap steel addition amount x Heavy-duty ladle transfer time t unit s ℃ t min Reference process scheme value 720 900 0 15 Predicted process scheme values 650 1000 10 10

[0168] (f) Following steps (a) to (d), calculate the reference carbon footprint and reference cost of the LF-outgoing molten steel for the benchmark process scheme and the predicted process scheme, respectively; and calculate the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme; obtain the actual carbon footprint and actual cost of the LF-outgoing molten steel for the benchmark process scheme, and calculate the actual carbon footprint and actual cost of the LF-outgoing molten steel for the predicted process scheme based on the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme.

[0169] In this embodiment, the actual carbon footprint and actual cost of the molten steel leaving the LF station in the predicted process scheme are calculated using the following formula:

[0170] (12)

[0171] (13)

[0172] in, To predict the actual carbon footprint of molten steel leaving the LF process station; The actual carbon footprint of molten steel leaving the LF station is taken as 1950 kgCO2 / t in this embodiment; To provide a reference carbon footprint for predicting the LF process output steel; Reference carbon footprint of molten steel leaving the LF station for the baseline process scheme; To predict the actual cost of molten steel leaving the LF station in the process scheme; The actual cost of molten steel leaving the LF station in the benchmark process scheme is taken as 3200 yuan / t in this embodiment; To predict the reference carbon cost of molten steel leaving the LF station in the process scheme; This is a reference cost for molten steel leaving the LF station based on the benchmark process.

[0173] Taking the parameters in Table 2 as an example, the calculation is performed according to steps (a) to (f), and the process results and final results are shown in Table 3 below.

[0174] Table 3 Calculation results of baseline and predicted process schemes

[0175]

[0176] The second embodiment of the present invention provides a system for predicting steel costs and carbon footprints. The system is used to implement the steps of the method in the first embodiment described above. Specifically, the system includes:

[0177] The converter tapping module is used to establish a binary function relationship between the converter tapping time, the no-load ladle temperature, and the molten steel temperature after tapping, with the converter smelting endpoint temperature as the first initial temperature. At the same time, it obtains the actual carbon footprint and actual cost of the molten steel tapped from the converter.

[0178] The steel ladle scrap addition module is used to establish a functional relationship between the amount of scrap added and the equilibrium temperature of molten steel, with the temperature of molten steel after the converter tapping is taken as the second initial temperature; to obtain the carbon footprint and cost of scrap, and to calculate the reference carbon footprint and reference cost of the mixed molten steel after all the scrap has melted;

[0179] The ladle transfer module is used to establish a functional relationship between the heavy-load ladle transfer time and the molten steel temperature entering the LF station, using the molten steel equilibrium temperature after adding scrap steel as the third initial temperature; to obtain the bottom-blown argon flow rate and auxiliary motor power during the heavy-load ladle transfer, to calculate the bottom-blown argon volume and power consumption during the heavy-load ladle transfer, to obtain the carbon footprint and cost of argon and electricity, and to calculate the reference carbon footprint and reference cost of the molten steel entering the LF station;

[0180] The LF furnace heating module is used to establish a functional relationship between molten steel heating and power consumption, with the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the end temperature; calculate the LF power consumption for molten steel heating, and calculate the reference carbon footprint and reference cost of the LF outlet molten steel.

[0181] The scheme construction module is used to obtain the following parameters of the benchmark process scheme based on normal production: converter tapping time, no-load ladle temperature, scrap steel addition amount, and heavy-load ladle transfer time; and adjust the parameters of the benchmark process scheme to form a predictive process scheme for producing low-carbon emission steel.

[0182] The results prediction module is used to calculate the reference carbon footprint and reference cost of LF-leaved molten steel for the benchmark process scheme and the predicted process scheme respectively; and to calculate the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme; to obtain the actual carbon footprint and actual cost of LF-leaved molten steel for the benchmark process scheme; and to calculate the actual carbon footprint and actual cost of LF-leaved molten steel for the predicted process scheme based on the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme.

[0183] A third embodiment of the present invention provides an electronic device, comprising: a memory for storing a computer program; and a processor for executing the computer program; wherein the processor is configured to invoke instructions stored in the memory to perform the steps of the method described in any one of the first aspects of the present invention.

[0184] A fourth embodiment of the present invention provides a computer-readable storage medium for storing a computer program, the computer-readable storage medium including the stored computer program, which, when executed by the processor, implements the steps of the method described in any one of the first aspects of the present invention.

[0185] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Any modifications, alterations, substitutions, or variations made by those skilled in the art to the technical solutions of the present invention without departing from the spirit of the present invention shall fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for predicting steel production costs and carbon footprint, characterized in that... Includes the following steps: (a) For the converter tapping process, with the converter smelting endpoint temperature as the first initial temperature, establish a binary function relationship between the converter tapping time, the no-load ladle temperature and the molten steel temperature after tapping; at the same time, obtain the actual carbon footprint and actual cost of the molten steel tapped from the converter. (b) Using the temperature of molten steel after the converter tapping is the second initial temperature, establish a functional relationship between the amount of scrap steel added and the equilibrium temperature of molten steel; obtain the carbon footprint and cost of scrap steel, and calculate the reference carbon footprint and reference cost of the mixed molten steel after all the scrap steel has been melted. (c) Using the steel equilibrium temperature after adding scrap steel as the third initial temperature, establish a functional relationship between the heavy-load ladle transfer time and the molten steel temperature entering the LF station; obtain the bottom blowing argon flow rate and auxiliary motor power during the heavy-load ladle transfer, calculate the bottom blowing argon volume and power consumption during the heavy-load ladle transfer, obtain the carbon footprint and cost of argon and electricity, and calculate the reference carbon footprint and reference cost of molten steel entering the LF station. (d) Using the LF inlet molten steel temperature as the fourth initial temperature and the LF outlet target molten steel temperature as the endpoint temperature, establish a functional relationship between molten steel temperature rise and power consumption; calculate the LF power consumption for molten steel temperature rise, and calculate the reference carbon footprint and reference cost of LF outlet molten steel. (e) Using normalized production as the benchmark process scheme, obtain the following parameters of the benchmark process scheme: converter tapping time, no-load ladle temperature, scrap steel addition amount and heavy-load ladle transfer time; The parameters of the baseline process scheme are adjusted to form a predicted process scheme for producing low-carbon emission steel. (f) Following steps (a) to (d), calculate the reference carbon footprint and reference cost of LF-outgoing molten steel for the baseline process scheme and the predicted process scheme, respectively; And calculate the reference carbon footprint difference and reference cost difference of LF-outgoing molten steel for the benchmark process scheme and the predicted process scheme; Obtain the actual carbon footprint and actual cost of molten steel leaving the LF station under the benchmark process scheme. Based on the difference in reference carbon footprint and reference cost between the benchmark process scheme and the predicted process scheme, calculate the actual carbon footprint and actual cost of molten steel leaving the LF station under the predicted process scheme.

2. The method for predicting steel cost and carbon footprint according to claim 1, characterized in that: In step (a), the bivariate function between the converter tapping time, the no-load ladle temperature, and the molten steel temperature after tapping is obtained by plotting a three-dimensional scatter plot using historical data with the converter tapping time as the x-axis, the no-load ladle temperature as the y-axis, and the molten steel temperature after tapping as the z-axis, and then using a regression method to obtain the regression equation.

3. The method for predicting steel cost and carbon footprint according to claim 1, characterized in that: In step (b), the function relating the amount of scrap steel added to the equilibrium temperature of the molten steel is: Among them, T 平衡 The temperature at which scrap steel reaches equilibrium after being added to molten steel; C s C is the specific heat capacity of solid steel. l Specific heat capacity of liquid steel; T r T is the melting temperature of scrap steel. e L represents ambient temperature; T represents the latent heat of molten steel; L represents the latent heat of molten steel. c The temperature of the molten steel after the converter tapping is complete; x is the amount of scrap steel added; M0 is the amount of steel tapped from the converter. The reference carbon footprint and reference cost calculation formulas for blended molten steel are as follows: in, Reference carbon footprint for mixing molten steel; Reference cost for mixing molten steel; The carbon footprint of converter steel; The carbon footprint of scrap steel; The cost of molten steel in a converter; The cost of scrap steel.

4. The method for predicting steel cost and carbon footprint according to claim 1, characterized in that: In step (c), the method for determining the function relationship between the heavy-load ladle holding time and the molten steel temperature entering the LF station is as follows: Assuming the heat transfer from the heavy-load ladle to the environment is steady-state, the slag surface temperature, ladle wall temperature, and ladle bottom temperature are predicted based on the equilibrium temperature of the molten steel after the addition of scrap steel, according to the following formula. The ambient temperature and ladle dimensions are obtained, and considering convective and radiative heat transfer, the total convective and radiative heat dissipation power of the ladle is calculated. Furthermore, the cooling rate of the molten steel is calculated. ; in, The temperature of the slag surface; The temperature at which the outer wall is located; This refers to the temperature at the bottom of the bag. This refers to the temperature difference between molten steel and slag surface, with a range of 80℃-250℃, determined based on historical data of slag formation in different enterprises. This is the temperature difference between the molten steel and the outer surface of the ladle wall or bottom, with a range of 1250℃-1400℃, determined based on historical data of different companies' ladle conditions. The temperature of the molten steel entering the LF station; t is the cooling rate of molten steel; t is the holding time of the heavy-load ladle. The reference carbon footprint and reference cost calculation formulas for molten steel entering the LF station are as follows: in, The reference carbon footprint of molten steel entering the LF station; This serves as a reference cost for molten steel entering the LF station. The flow rate of argon gas blown into the ladle; The carbon footprint of argon; Power of auxiliary motor equipment; The carbon footprint of electricity; The cost of argon; The cost of electricity.

5. The method for predicting steel cost and carbon footprint according to claim 1, characterized in that: In step (d), the method for determining the function relationship between molten steel temperature rise and power consumption is as follows: Where W is the power consumption for heating LF molten steel; η is the thermal efficiency of converting the input power of the LF furnace electrodes into heat of the molten steel. The target molten steel temperature for LF station exit; The reference carbon footprint and reference cost calculation formulas for LF-type molten steel are as follows: in, The reference carbon footprint of molten steel leaving LF station; This is a reference cost for molten steel leaving the LF station.

6. The method for predicting steel cost and carbon footprint according to claim 1, characterized in that: In step (f), the actual carbon footprint and actual cost of the molten steel leaving the LF station for the predicted process scheme are calculated using the following formula: in, To predict the actual carbon footprint of molten steel leaving the LF process station; The actual carbon footprint of molten steel leaving the LF station as a benchmark process; To provide a reference carbon footprint for predicting the LF process output steel; Reference carbon footprint of molten steel leaving the LF station for the baseline process scheme; To predict the actual cost of molten steel leaving the LF station in the process scheme; The actual cost of molten steel leaving the LF station based on the benchmark process scheme; To predict the reference carbon cost of molten steel leaving the LF station in the process scheme; This is a reference cost for molten steel leaving the LF station based on the benchmark process.

7. A system for predicting steel costs and carbon footprints, characterized in that: The system includes a converter tapping module, a ladle scrap addition module, a ladle transfer module, an LF furnace heating module, a scheme construction module, and a result prediction module. The converter tapping module matches the converter tapping process. The ladle scrap addition module uses the molten steel temperature after converter tapping as the second initial temperature to establish a functional relationship between the amount of scrap added and the molten steel equilibrium temperature. The ladle transfer module uses the molten steel equilibrium temperature after adding scrap as the third initial temperature to establish a functional relationship between the heavy-load ladle transfer time and the LF furnace inlet molten steel temperature. The LF furnace heating module uses the LF furnace inlet molten steel temperature as the fourth initial temperature and the LF furnace outlet target molten steel temperature as the endpoint temperature to establish a functional relationship between molten steel temperature rise and power consumption. The converter tapping module, ladle scrap addition module, ladle transfer module, and LF furnace heating module are all connected to the input of the scheme construction module, which outputs a baseline process scheme and a predicted process scheme. The result prediction module is connected to the output of the scheme construction module to calculate the actual carbon footprint and actual cost of the predicted process scheme's LF furnace outlet molten steel.

8. An electronic device for predicting steel cost and carbon footprint, characterized in that: It includes a memory for storing computer programs and a processor for executing computer programs, the processor being configured to invoke instructions stored in the memory.

9. A computer-readable storage medium for predicting steel costs and carbon footprints, characterized in that: The system contains a computer program that, when executed, is used to implement a method for predicting steel costs and carbon footprints.

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