Carbon cost analysis method and system for steel enterprises and computer readable storage medium
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CISDI ENGINEERING CO LTD
- Filing Date
- 2026-01-28
- Publication Date
- 2026-05-29
AI Technical Summary
When steel companies conduct carbon emission economic analysis, existing tools and methods are fragmented, have inconsistent data standards, and have low levels of automation and integration. This makes it difficult to quickly and dynamically simulate the linkage between energy consumption, carbon emissions, and carbon costs throughout the entire process, resulting in lagging decision support and low efficiency.
This paper provides a carbon cost analysis method and system for steel enterprises. By acquiring basic technical indicators, material and energy prices, and cost data, it automatically generates material and energy balance data, accumulates the full-process cost step by step, and calculates carbon emissions, carbon emission quotas, and carbon compliance costs. It covers the full-process material, energy, cost, and carbon emission accounting and is an integrated analysis tool.
It achieves integrated analysis across the entire process, providing scientific and reliable decision support to help enterprises select the optimal carbon reduction strategy and achieve a balance between carbon reduction and economic benefits.
Smart Images

Figure CN122114983A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of carbon emission economic analysis technology, specifically to a carbon cost analysis method, system, and computer-readable storage medium for steel enterprises. Background Technology
[0002] Developing a quantitative analysis tool that can accurately and systematically assess the impact of carbon costs on the economic benefits of enterprises throughout the entire process is crucial for enterprises to formulate scientific low-carbon development paths, make investment decisions, and optimize production operations.
[0003] Currently, steel companies typically face the following technical challenges when conducting relevant economic analyses: First, existing analytical tools and methods are often fragmented. Material balance, energy balance, cost accounting, and carbon emission accounting are usually completed by different departments using independent tools or empirical formulas, resulting in inconsistent data definitions and making it difficult to form a unified and interconnected analytical framework. For example, traditional cost analysis may not fully consider energy recovery throughout the entire process, leading to distortions in energy consumption and cost accounting; while simple carbon emission accounting tools are often detached from the specific economic cost context.
[0004] Secondly, the analysis process suffers from low levels of automation and integration, heavily relying on human experience and offline data processing. When it is necessary to evaluate the comprehensive benefits of a new technology (such as increasing the scrap ratio or applying hydrogen metallurgy) or different market scenarios (such as fuel price fluctuations or carbon price changes), existing methods struggle to quickly and dynamically simulate its interconnected impact on energy consumption, carbon emissions, and ultimately, the "carbon cost-benefit" of the entire process, resulting in lagging decision support and low efficiency.
[0005] In conclusion, the steel industry urgently needs a tool that can cover the entire process and integrate material, energy, cost, and carbon emission accounting to solve the problems of analysis silos and inefficiency in existing technologies. This tool would provide enterprises with a scientific, reliable, and efficient decision support tool to achieve cost reduction, efficiency improvement, and green and low-carbon transformation. Summary of the Invention
[0006] The purpose of this invention is to provide a method, system, and computer-readable storage medium for carbon cost analysis in steel enterprises, so as to at least solve the problems of analysis silos and low efficiency currently existing.
[0007] To address the aforementioned technical problems, in a first aspect, the present invention provides a method for carbon cost analysis in steel enterprises, comprising:
[0008] Obtain basic technical indicator data for each process of steel enterprises, price data for various materials and energy, and cost data related to capital expenditures and human resources for each process;
[0009] Based on basic technical indicators, material balance data and energy balance data are automatically generated. Material balance data includes the material flow and consumption data of each process in the entire process. Energy balance data includes the energy purchase, energy consumption, energy recovery and equivalent standard coal amount of each process in the entire process.
[0010] Based on basic technical data, price data, cost data, material balance data, and energy balance data, starting from the raw material yard process, the continuous cost data of each process in the entire process is calculated by accumulating the costs of each process step by step.
[0011] Based on basic technical indicator data, material balance data, energy balance data, and continuous cost data, calculate the enterprise-level carbon emissions, carbon emission quotas, and carbon compliance costs.
[0012] Furthermore, the entire process includes the following steps: raw material yard, coking, sintering, pelletizing, blast furnace, converter, refining, steel rolling, lime production, oxygen production, water treatment, air compressor station, waste heat and energy power generation, and coal gas power generation.
[0013] Furthermore, the basic technical indicators include: the types, grades, proportions, fuel ratios, scrap steel ratios, and steel material consumption ratios involved in the ironmaking and steelmaking processes, as well as the output, raw and auxiliary materials, and energy medium consumption of each process throughout the entire process.
[0014] Furthermore, the price data includes average price data for the past two years or average price data for the past three years, and supports users in selecting average price data for the past two years or average price data for the past three years as the price data for the corresponding materials and energy.
[0015] Furthermore, the cost data includes: labor costs, investment costs, depreciation and repair costs, and allocated costs for each process step in the entire process.
[0016] Furthermore, the formula for calculating carbon emissions at the enterprise level is as follows:
[0017] ;
[0018] in, This indicates carbon emissions at the enterprise level; This represents the net consumption of the i-th type of fossil fuel; This represents the received lower heating value of the i-th type of fossil fuel consumed; This represents the carbon content per unit calorific value of the i-th type of fossil fuel; This represents the amount of the p-th type of carbonate consumed; This represents the carbon dioxide emission factor of the p-th carbonate. Indicates the amount of electrodes consumed; The carbon dioxide emission factor of the electrode; This represents the consumption amount of the q-th carbon-containing raw material; This represents the carbon dioxide emission factor of the q-th carbon-containing raw material; This represents the export volume of the k-th carbon-containing product; Let represent the carbon dioxide emission factor of the k-th carbon-containing product; K represents the ratio of the relative molecular masses of carbon dioxide to carbon.
[0019] Furthermore, the formula for calculating carbon emission allowances is as follows:
[0020] ;
[0021] ;
[0022] ;
[0023] ;
[0024] in, This indicates the quota for steel companies; This indicates the carbon emissions of steel companies; Indicates the carbon emission intensity coefficient; Indicates the deviation of carbon emission intensity; This represents the carbon emission intensity deviation adjustment coefficient; This represents the equilibrium value for the steel industry; This represents the ratio of total emissions from key processes to pig iron production. This indicates the carbon emissions from the ironmaking process in steel enterprises; This indicates the carbon emissions from the sintering process in steel enterprises; This indicates the pig iron production of steel enterprises.
[0025] Furthermore, the formula for calculating carbon compliance costs is as follows:
[0026]
[0027] in, Indicates the carbon cost / benefit of steel companies; This indicates the quota for steel companies; This indicates the carbon emissions of steel companies; This indicates the carbon price.
[0028] Secondly, the present invention provides a carbon cost analysis system for steel enterprises, characterized in that it includes:
[0029] The basic technical indicators module is used to obtain basic technical indicator data for each process in steel enterprises.
[0030] The pricing module is used to obtain price data for various materials and energy sources.
[0031] The expense module is used to obtain expense data related to capital expenditures and human resources for each process.
[0032] The material and energy balance module is used to automatically generate material balance data and energy balance data based on basic technical indicator data. The material balance data includes the material flow and consumption data of each process in the entire process. The energy balance data includes the energy purchase, energy consumption, energy recovery and equivalent standard coal amount of each process in the entire process.
[0033] The continuous cost module is used to calculate the continuous cost data of the products in each process of the entire process, starting from the raw material yard process, by accumulating the costs of each process step by step, based on basic technical indicator data, price data, cost data, material balance data and energy balance data.
[0034] The carbon cost analysis module is used to calculate the enterprise-level carbon emissions, carbon emission quotas, and carbon compliance costs based on basic technical indicator data, material balance data, energy balance data, and continuous cost data.
[0035] The interaction module provides users with an input interface and displays input data, intermediate data, and result data.
[0036] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect above.
[0037] The beneficial effects of this invention are as follows:
[0038] 1. This invention covers core cost-benefit analysis tools for steel enterprises, including material balance, energy balance, carbon emission accounting, carbon quota calculation, and cost analysis. It provides a complete carbon cost analysis method, comprehensively covering the scope of product cost-benefit analysis after steel enterprises are included in the carbon market, and can provide powerful tools for enterprises to choose low-carbon paths.
[0039] 2. Cost-benefit analysis using carbon emission economic models facilitates rapid comparison of the economic viability of various low-carbon technologies, helping companies select the optimal carbon reduction strategy and achieve a balance between carbon reduction and economic benefits. Attached Figure Description
[0040] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, use the same reference numerals to denote the same or similar parts. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an undue limitation of this application. In the drawings:
[0041] Figure 1 This is a flowchart of one embodiment of the present invention;
[0042] Figure 2 This is a logistics balance diagram for a steel enterprise according to an embodiment of the present invention. Detailed Implementation
[0043] In a first aspect, this invention discloses a method for carbon cost analysis in steel enterprises, comprising:
[0044] Obtain basic technical indicator data for each process of steel enterprises, price data for various materials and energy, and cost data related to capital expenditures and human resources for each process;
[0045] Based on basic technical indicators, material balance data and energy balance data are automatically generated. Material balance data includes the material flow and consumption data of each process in the entire process. Energy balance data includes the energy purchase, energy consumption, energy recovery and equivalent standard coal amount of each process in the entire process.
[0046] Based on basic technical data, price data, cost data, material balance data, and energy balance data, starting from the raw material yard process, the continuous cost data of each process in the entire process is calculated by accumulating the costs of each process step by step.
[0047] Continuous costing calculates the unit cost of each product in each production process. Input data for each process includes raw materials, energy sources, and labor costs. The quantities of raw materials and energy sources are derived from the aforementioned material balance and energy balance data, while labor costs are derived from capital expenditures and human resource-related expense data. The calculation starts from the raw material yard and progressively incorporates the product prices from each production process into the next, forming the continuous cost of each production process.
[0048] Based on basic technical indicator data, material balance data, energy balance data, and continuous cost data, calculate the enterprise-level carbon emissions, carbon emission quotas, and carbon compliance costs.
[0049] According to one embodiment of this application, the entire process includes the following steps: raw material yard, coking, sintering, pelletizing, blast furnace, converter, refining, steel rolling, lime production, oxygen production, water treatment, air compressor station, waste heat and waste energy power generation, and coal gas power generation.
[0050] According to one embodiment of this application, the basic technical indicator data includes: the types of ore, grade (content of useful components in ore or raw materials), proportion (ratio of various ores or raw materials), fuel ratio, scrap steel ratio, and steel material consumption ratio involved in the ironmaking and steelmaking processes, as well as the output, raw and auxiliary materials, and energy medium consumption per unit of each process in the entire process. This data is one of the main input parameters of the model, and the data can come from design, actual production, etc. The model internally fixes the default indicators of unit consumption for each process. If the input data cannot provide parameters, the default unit consumption data can be selected.
[0051] According to one embodiment of this application, the price data includes average price data for the past two years or average price data for the past three years, and supports users in selecting average price data for the past two years or average price data for the past three years as the price data for the corresponding materials and energy. Users can manually input the prices of various raw materials, auxiliary materials, fuels, power, etc.; if the input data cannot provide more accurate price parameters, users can choose to use the default three-year average price or two-year average price method to obtain the price.
[0052] According to one embodiment of this application, the cost data includes: labor costs for each process step in the entire process, investment costs (generally referring to one-time capital expenditures incurred for the construction or purchase of fixed assets, such as equipment purchase costs, construction costs, installation costs, etc.), depreciation and repair costs, and amortized costs (generally referring to one-time capital expenditures incurred for the construction or purchase of fixed assets, such as equipment purchase costs, construction costs, installation costs, etc.). The cost data parameters are selected based on design or actual production conditions. If accurate data cannot be entered for certain parameters, the system provides reference parameters for selection based on practical data from steel enterprises.
[0053] According to one embodiment of this application, material balance includes the flow and consumption of major raw and auxiliary materials from the raw material yard, coking, pelletizing, sintering, blast furnace ironmaking, converter steelmaking, continuous casting, rolling, and lime production processes. It also reflects the product volume of each process and key technical indicators, forming a standardized logistics balance diagram for steel enterprises, such as... Figure 2 As shown;
[0054] Energy balance includes all fossil fuels, energy media, power consumption and recovery. It reflects the consumption and equivalent standard coal equivalent of purchased energy, secondary energy, recovered energy, externally sourced energy, and self-consumed energy at the plant level, as well as the total energy consumption of the plant. It also reflects the consumption and equivalent standard coal equivalent of all energy and energy media, recovered energy, and process energy consumption at each process level, forming a standardized energy balance sheet.
[0055] According to one embodiment of this application, the formula for calculating carbon emissions at the enterprise level is as follows:
[0056] ;
[0057] in, This indicates the direct emissions at the enterprise level of the project, in tons (tCO2). This represents the net consumption of the i-th type of fossil fuel in the project. The unit for solid or liquid fuels is tons (t), and the unit for gaseous fuels is ten thousand standard cubic meters (10⁴ Nm³). 3 ); This indicates the received basis lower heating value of the i-th fossil fuel consumed in the project. For solid or liquid fuels, the unit is gigajoules per ton (GJ / t), and for gaseous fuels, the unit is gigajoules per 10,000 standard cubic meters (GJ / 10⁴ Nm³). 3 ); This represents the carbon content per unit calorific value of the i-th fossil fuel, expressed in tons of carbon per gigajoul (tC / GJ). This indicates the consumption of the p-th type of carbonate in the project, in tons (t). The carbon dioxide emission factor of the p-th carbonate is expressed in tons of carbon dioxide per ton (tCO2 / t). This indicates the amount of electrodes consumed in the project, in tons (t). The carbon dioxide emission factor of the electrode is expressed in tons of carbon dioxide per ton (tCO2 / t). This indicates the consumption of the qth type of carbon-containing raw material in the project, in tons (t). This represents the carbon dioxide emission factor of the qth carbon-containing raw material, expressed in tons of carbon dioxide per ton (tCO2 / t). This represents the sales volume of the kth carbon-containing product in the project, in tons (t).
[0058] denoted by tCO2 / t, representing the carbon dioxide emission factor of the k-th carbon-containing product; K represents the ratio of the relative molecular masses of carbon dioxide to carbon, with a value of 11 / 6; i represents the type code of fossil fuel; p represents the type code of carbonate; q represents the type code of carbon-containing raw material; and k represents the type code of carbon-containing product.
[0059] According to one embodiment of this application, the formula for calculating carbon emission allowances is as follows:
[0060] ;
[0061] ;
[0062] ;
[0063] ;
[0064] in, This represents the quota for steel companies, in tons of CO2 (tCO2). This represents the carbon emissions of steel companies, in tons of CO2 (tCO2). The carbon emission intensity coefficient is an indicator that characterizes the level of advancement of a company's carbon emission intensity control. When a company's level is better than the industry benchmark, the value is >0; otherwise, the value is <0. Indicates the deviation of carbon emission intensity, in units of % %. This represents the carbon emission intensity deviation adjustment coefficient; This represents the equilibrium value for the steel industry and can be queried through the national carbon market management platform. Unit: tCO2 / t 生铁 ; This represents the ratio of total emissions from key processes (ironmaking and sintering) in steel enterprises to pig iron production. It is determined based on the enterprise's annual audit results, and the unit is tCO2 / t. 生铁 ; This represents the carbon emissions from the ironmaking process in steel enterprises, in tCO2 units. This indicates the carbon emissions from the sintering process in steel enterprises, in tCO2 units. This indicates the pig iron production of steel enterprises, in tons (t).
[0065] The carbon emission intensity deviation for 2025 is set at an upper and lower limit of 30%, and the carbon emission intensity deviation adjustment coefficient is set at 0.15. The carbon emission intensity coefficient for steel enterprises in 2025 is detailed in Table 1.
[0066] Table 1 Carbon Emission Intensity Coefficient of Steel Enterprises in 2025
[0067]
[0068] According to one embodiment of this application, the formula for calculating carbon compliance costs is as follows:
[0069] ;
[0070] in, Indicates the carbon cost / benefit of steel companies. >0 represents carbon cost; <0 represents carbon gain, in yuan; This represents the quota for steel companies, in tons of CO2 (tCO2). This represents the carbon emissions of steel companies, in tons of CO2 (tCO2). This represents the carbon price, sourced from the national carbon market, in yuan / tCO2.
[0071] Secondly, this invention discloses a carbon cost analysis system for steel enterprises, comprising:
[0072] The basic technical indicators module is used to obtain basic technical indicator data for each process in steel enterprises.
[0073] The pricing module is used to obtain price data for various materials and energy sources.
[0074] The expense module is used to obtain expense data related to capital expenditures and human resources for each process.
[0075] The material and energy balance module is used to automatically generate material balance data and energy balance data based on basic technical indicator data. The material balance data includes the material flow and consumption data of each process in the entire process. The energy balance data includes the energy purchase, energy consumption, energy recovery and equivalent standard coal amount of each process in the entire process.
[0076] The continuous cost module is used to calculate the continuous cost data of the products in each process of the entire process, starting from the raw material yard process, by accumulating the costs of each process step by step, based on basic technical indicator data, price data, cost data, material balance data and energy balance data.
[0077] The carbon cost analysis module is used to calculate the enterprise-level carbon emissions, carbon emission quotas, and carbon compliance costs based on basic technical indicator data, material balance data, energy balance data, and continuous cost data.
[0078] The interactive module provides users with an input interface and displays input, intermediate, and result data. It includes 36 core indicators across three main categories: energy consumption, carbon emissions, and costs (see Table 2). These include energy consumption per ton of steel, enterprise-level carbon emissions, billet manufacturing costs, and total plant carbon compliance costs, facilitating enterprise decision-making regarding low-carbon pathways. When input variables change, the module quickly retrieves the results of these core indicators, enabling comprehensive cost-benefit comparisons, including carbon costs, under different scenarios.
[0079] Table 2 Core metrics displayed in the interactive module
[0080] The system features a clear input / output interface. By pre-setting various design experience data, market data, and policy-based fixed data, it helps design consulting firms, enterprises, and related parties systematically and automatically output core indicator data, including energy consumption, carbon emissions, and carbon costs, based on basic input indicators. It links energy consumption, carbon emission, and cost indicators for analysis, enabling accurate and efficient evaluation of carbon reduction in different processes, single low-carbon technologies, and combinations of technologies in steel enterprises. It provides a basic tool for enterprises to analyze their low-carbon level, carbon reduction potential, low-carbon pathways, and economic carbon reduction, meeting the needs of enterprises and related parties for quantitative analysis of the economics of carbon emissions in steel enterprises, and facilitating the selection of low-carbon technologies and development paths.
[0081] Thirdly, the present invention discloses a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect above.
[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A method for carbon cost analysis in steel enterprises, characterized in that, include: Obtain basic technical data for each process in steel enterprises, price data for various materials and energy, and cost data related to capital expenditures and human resources for each process; Based on the aforementioned basic technical indicator data, material balance data and energy balance data are automatically generated; the material balance data includes the material flow direction and consumption data of each process in the entire process; the energy balance data includes the energy purchase amount, energy consumption amount, energy recovery amount, and equivalent standard coal amount of each process in the entire process. Based on the aforementioned basic technical indicator data, price data, cost data, material balance data, and energy balance data, starting from the raw material yard process, the continuous cost data of the products in each process of the entire process is calculated by gradually accumulating the costs of each process. Based on the aforementioned basic technical indicator data, material balance data, energy balance data, and continuous cost data, calculate the enterprise-level carbon emissions, carbon emission quotas, and carbon compliance costs.
2. The carbon cost analysis method for steel enterprises according to claim 1, characterized in that, The entire process includes the following steps: raw material yard, coking, sintering, pelletizing, blast furnace, converter, refining, steel rolling, lime production, oxygen production, water treatment, air compressor station, waste heat and energy power generation, and coal gas power generation.
3. The carbon cost analysis method for steel enterprises according to claim 1 or 2, characterized in that, The basic technical indicators include: the types, grades, proportions, fuel ratios, scrap steel ratios, and steel material consumption ratios involved in the ironmaking and steelmaking processes, as well as the output, raw and auxiliary materials, and energy medium consumption of each process throughout the entire process.
4. The carbon cost analysis method for steel enterprises according to claim 1 or 2, characterized in that, The price data includes average price data for the past two years or average price data for the past three years, and users can select the average price data for the past two years or average price data for the past three years as the price data for the corresponding materials and energy.
5. The carbon cost analysis method for steel enterprises according to claim 1 or 2, characterized in that, The cost data includes: labor costs, investment costs, depreciation and repair costs, and allocated costs for each process step in the entire process.
6. The carbon cost analysis method for steel enterprises according to claim 1, characterized in that, The formula for calculating carbon emissions at the enterprise level is as follows: ; in, This indicates carbon emissions at the enterprise level; This represents the net consumption of the i-th type of fossil fuel; This represents the received lower heating value of the i-th type of fossil fuel consumed; This represents the carbon content per unit calorific value of the i-th type of fossil fuel; This represents the amount of the p-th type of carbonate consumed; This represents the carbon dioxide emission factor of the p-th carbonate. Indicates the amount of electrode consumed; The carbon dioxide emission factor of the electrode; This represents the consumption amount of the q-th carbon-containing raw material; This represents the carbon dioxide emission factor of the q-th carbon-containing raw material; This represents the export volume of the k-th carbon-containing product; Let represent the carbon dioxide emission factor of the k-th carbon-containing product; K represents the ratio of the relative molecular masses of carbon dioxide to carbon.
7. The carbon cost analysis method for steel enterprises according to claim 6, characterized in that, The formula for calculating the carbon emission allowance is as follows: ; ; ; ; in, This indicates the quota for steel companies; This indicates the carbon emissions of steel companies; Indicates the carbon emission intensity coefficient; Indicates the deviation of carbon emission intensity; This represents the carbon emission intensity deviation adjustment coefficient; This represents the equilibrium value for the steel industry; This represents the ratio of total emissions from key processes to pig iron production. This indicates the carbon emissions from the ironmaking process in steel enterprises. This indicates the carbon emissions from the sintering process in steel enterprises; This indicates the pig iron production of steel enterprises.
8. The carbon cost analysis method for steel enterprises according to claim 7, characterized in that, The formula for calculating the carbon compliance cost is as follows: ; in, Indicates the carbon cost / benefit of steel companies; This indicates the quota for steel companies; This indicates the carbon emissions of steel companies; This indicates the carbon price.
9. A carbon cost analysis system for steel enterprises, characterized in that, include: The basic technical indicators module is used to obtain basic technical indicator data for each process in steel enterprises. The pricing module is used to obtain price data for various materials and energy sources. The expense module is used to obtain expense data related to capital expenditures and human resources for each process. The material and energy balance module is used to automatically generate material balance data and energy balance data based on the basic technical indicator data. The material balance data includes the material flow direction and consumption data of each process in the entire process. The energy balance data includes the energy purchase amount, energy consumption amount, energy recovery amount and equivalent standard coal amount of each process in the entire process. The continuous cost module is used to calculate the continuous cost data of the products in each process of the entire process, starting from the raw material yard process, by accumulating the costs of each process step by step, based on the basic technical indicator data, price data, cost data, material balance data and energy balance data. The carbon cost analysis module is used to calculate the enterprise-level carbon emissions, carbon emission quotas, and carbon compliance costs based on the aforementioned basic technical indicator data, material balance data, energy balance data, and continuous cost data. The interaction module provides users with an input interface and displays input data, intermediate data, and result data.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method as described in any one of claims 1-8.