Steel and electric power collaborative transformation planning method and system considering electro-hydrogen coupling

Abstract

The embodiment of the invention provides a steel and electric power collaborative transformation planning method and system considering electricity-hydrogen coupling, and the method comprises the steps: coupling an economy-energy-environment comprehensive evaluation model with a steel production process system planning model, and constructing an NESAP-Iron model; calculating the steel production level according to the steel requirements of each field, calculating the energy consumption amount based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameter, calculating the carbon emission amount through the carbon emission factors of different energy sources based on the energy consumption amount, and accumulating the carbon emission amounts of different energy sources to obtain the total emission amount; and based on the carbon emission path and the cost parameter, carrying out quantitative measurement and calculation on the transformation cost of the steel industry under different scene paths, and calculating the unit emission reduction cost.

Description

Technical Field

[0001] The present embodiment relates to the technical field of power systems, and in particular to a method and system for planning the coordinated transformation of steel and electricity taking into account the coupling of electricity and hydrogen. Background Art

[0002] Existing studies have conducted multi-dimensional comparative analysis of the carbon reduction paths of the steel and power industries. They mainly use material flow and scenario comparative analysis, marginal cost curve method, data-driven method, and life cycle assessment method to analyze the future demand change trend of my country's steel and power industries, and calculate the carbon emissions and emission reduction potential of the entire life cycle. Each of these methods has its applicable scenarios and limitations. For example, the material flow and scenario comparative analysis method provides a comprehensive perspective on material flow, which helps to identify resource consumption and environmental impacts, and can simulate carbon emission changes under different scenarios, providing a reference for policy making. However, the scenario setting may be subjective, affecting the accuracy of the results. At the same time, data collection and processing are relatively complex and require a large amount of input data. The marginal cost curve method can identify emission reduction measures with relatively high cost-effectiveness, and intuitively display the cost-effectiveness of emission reduction measures, which is helpful for economic decision-making. However, the prediction of future cost changes may be uncertain and may ignore non-economic factors, such as environmental benefits and social impacts. The data-driven method, by using statistical and machine learning techniques, can process a large amount of data to discover patterns and correlations in the data and improve the accuracy of predictions, but it may rely too much on historical data and ignore the uncertainty of future changes. The life cycle assessment method can comprehensively evaluate the environmental impact of a product throughout its life cycle, identify carbon emission hotspots, and help promote the greening and sustainability of the supply chain, but the evaluation results may be affected by the evaluation methods and assumptions.

[0003] Behind every technological transformation path there is an implicit cost issue. Research on transformation costs can provide decision-making support for the steel industry to choose the optimal path based on both cost and carbon reduction effects. Summary of the invention

[0004] One or more embodiments of this specification provide a steel and electricity coordinated transformation planning method considering electricity-hydrogen coupling, including:

[0005] The NESAP-Iron model was constructed by coupling the economic-energy-environmental comprehensive assessment model with the steel production process system planning model;

[0006] Calculate the steel production level according to the steel demand in various fields, calculate the energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameters, calculate the carbon emissions based on the energy consumption through the carbon emission factors of different energy sources, and add up the carbon emissions of different energy types to get the total emissions;

[0007] Based on the carbon emission path and cost parameters, the transformation cost of the steel industry under different scenario paths is quantitatively measured, and the unit emission reduction cost is calculated.

[0008] Furthermore, the economic-energy-environmental comprehensive assessment model includes modules such as socio-economic demand-driven modules, energy consumption modules, energy conversion and supply modules, environmental emission modules, water resources modules and natural carbon sink modules, which are used to realize the linked quantitative analysis of energy, economic and environmental systems, and optimize the selection of low-carbon energy transformation scenario paths; the steel production process system planning model is based on the production technology of the steel industry, and is used to simulate the material flow and energy flow from ore to steel products from the perspective of the production process system.

[0009] Furthermore, the NESAP-Iron model divides the steel production process into long-process and short-process; the long-process steelmaking mainly includes coking, sintering, ironmaking, steelmaking and steel rolling, among which the ironmaking process is divided into three processes: blast furnace ironmaking, electric arc furnace direct reduction ironmaking and hydrogen-based direct reduction ironmaking, and includes carbon fixation technology systems such as CCUS, and the steelmaking process is divided into two processes: converter steelmaking and electric arc furnace steelmaking; the short-process steelmaking uses scrap steel as the main raw material, and obtains finished steel through electric arc furnace smelting.

[0010] Furthermore, the specific method for calculating the steel production level according to the steel demand in various fields is:

[0011]

[0012] Among them, AL is the demand for crude steel, RF represents the increase in building area; TR represents the increase in transportation vehicles; RE represents the increase in household appliances; Ex represents the demand for steel in other fields; it represents the steel intensity of products such as construction, transportation and household appliances; i represents the type of building, there are m types in total, including schools, hospitals, residential houses, etc.; j represents the type of transportation products, there are n types in total, including private cars, passenger cars, freight trucks, ships and railways; α, β, γ represent the steel intensity of construction, transportation and household appliances respectively.

[0013] Furthermore, the specific method for calculating energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameters is as follows:

[0014] The prospective analysis method is used to decompose the output distribution of the subdivided steel process in proportion, and the overall transformation cost of different paths is given in combination with cost parameters. Then, the energy consumption is calculated based on the steel production level and the energy intensity of the corresponding equipment. The calculation process is as follows:

[0015] EC k =∑ i ∑ j EI i,j×AL i,j ×S i,j,k ;

[0016] Among them, ECk is the total demand for type k energy in the steel industry, EI i,j is the energy intensity of steel production of equipment i in process j, AL is the steel production level of equipment i in process j, S i,j,k It represents the consumption proportion of the kth energy type in the jth equipment of the i process; the electricity and other energy consumed in the production of steel will have certain losses during the transmission and distribution process, and the loss amount is:

[0017]

[0018] Among them, Lossk is the loss of the kth energy, η k It is the energy transmission efficiency. There is a certain loss in the energy processing and conversion process such as power generation, hydrogen production, and heat production. The energy loss and consumption in the conversion process are calculated as follows:

[0019]

[0020] In the formula, ET k represents the total energy consumption of k types of energy processing and conversion, is the processing conversion efficiency of the kth energy source, the total energy demand can be obtained by calculating the terminal energy demand, the intermediate process processing conversion loss and the consumption, that is:

[0021] E k =EC k +ET k ;

[0022] In the formula, E k is the total consumption of the kth energy.

[0023] Furthermore, the specific method of calculating the carbon emissions based on the energy consumption by using the carbon emission factors of different energy sources is as follows:

[0024] Based on energy forecast data, the CO2 emissions of different energy types in the steel industry are calculated using the emission coefficient method, and the total emissions are obtained by adding up the carbon emissions of different energy types. The calculation formula is:

[0025]

[0026] Among them, Emission CO2 is the carbon dioxide emission, E i is the consumption of the i-th energy, ef i is the combustion carbon emission factor of type i energy;

[0027] In addition to energy combustion, steel production also generates process emissions, which are calculated by multiplying the output of steel products by the process emission factor:

[0028]

[0029] Among them, Emission process CO2 is the emission from the steel products industrial process, ef process is the emission factor for the industrial process of steel products.

[0030] Furthermore, based on the carbon emission path and cost parameters, the transformation cost of the steel industry under different scenario paths is quantitatively calculated, and the specific calculation method for calculating the unit emission reduction cost is:

[0031]

[0032] Where TC s n The cost input required to implement technology path n in the steel industry transformation scenario s, including investment cost, fixed cost and production cost; TC b n is the cost input of adopting the established converter steelmaking technology path n in the baseline scenario b, M b n is the cumulative CO2 reduction in baseline scenario b, M s n is the cumulative emission reduction of technology path n implemented in transition scenario s; MC n It is the unit carbon emission reduction cost of scenario path n.

[0033] One or more embodiments of this specification provide a steel and electricity collaborative transformation planning system considering electricity-hydrogen coupling, including:

[0034] Model building module: used to couple the economic-energy-environmental comprehensive assessment model with the steel production process system planning model to build the NESAP-Iron model;

[0035] Emission calculation module: used to calculate the steel production level according to the steel demand in various fields, and calculate the energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameters. Based on the energy consumption, the carbon emissions are calculated separately through the carbon emission factors of different energy sources, and the carbon emissions of different energy types are accumulated to obtain the total emissions;

[0036] Cost assessment module: used to quantitatively measure the transformation costs of the steel industry under different scenario paths based on carbon emission paths and cost parameters, and calculate the unit emission reduction costs.

[0037] One or more embodiments of the present specification provide an electronic device, including:

[0038] processor; and,

[0039] A memory arranged to store computer executable instructions, which, when executed, cause the processor to implement the steps of the steel and electricity coordinated transformation planning method considering electric hydrogen coupling as described in any one of claims 1 to 7.

[0040] One or more embodiments of the present specification provide a storage medium for storing computer-executable instructions, which, when executed, implement the steps of the steel and electricity coordinated transformation planning method considering electric-hydrogen coupling as described in any one of claims 1 to 7.

[0041] By adopting the embodiment of the present invention, based on the bottom-up NESAP-Iron model, economic, energy and environmental factors are integrated, and the energy demand, energy structure and carbon emission evolution trends in the energy transformation of the steel industry are analyzed in different scenarios. The indirect energy input and carbon transfer of electricity and hydrogen energy caused by the steel transformation are identified, and the carbon reduction potential and transformation cost of the multi-combination steelmaking path are quantitatively analyzed, which provides data reference and support for selecting the coordinated transformation path of the steel and power industries under the coupling of electricity and hydrogen.

[0042] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0044] Figure 1 A flowchart of a steel and electricity coordinated transformation planning method considering electric-hydrogen coupling provided for one or more embodiments of this specification;

[0045] Figure 2 A schematic diagram of a NESAP-Iron model framework constructed by a steel and electricity collaborative transformation planning method considering electric-hydrogen coupling provided in one or more embodiments of this specification;

[0046] Figure 3A schematic diagram of the composition of a steel and electricity collaborative transformation planning system considering electric-hydrogen coupling provided for one or more embodiments of this specification;

[0047] Figure 4 A schematic diagram of the structure of an electronic device provided for one or more embodiments of this specification. DETAILED DESCRIPTION

[0048] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the technical solutions in one or more embodiments of this specification will be clearly and completely described below in conjunction with the drawings in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the protection scope of this embodiment.

[0049] Method Embodiment

[0050] According to an embodiment of the present invention, a steel and electricity coordinated transformation planning method considering electricity-hydrogen coupling is provided. Figure 1 A flowchart of a steel and electricity coordinated transformation planning method considering electric hydrogen coupling is provided for one or more embodiments of this specification, such as Figure 1 As shown, the steel and electricity coordinated transformation planning method considering electric-hydrogen coupling according to an embodiment of the present invention specifically includes:

[0051] S1. Couple the economic-energy-environmental comprehensive assessment model with the steel production process system planning model to construct the NESAP-Iron model.

[0052] The economic-energy-environmental comprehensive assessment model includes a socio-economic demand-driven module, an energy consumption module, an energy conversion and supply module, an environmental emission module, a water resource module, and a natural carbon sink module. It is used to realize the linkage quantitative analysis of energy, economic and environmental systems, and optimize the selection of low-carbon energy transformation scenario paths. The steel production process system planning model is based on the production technology of the steel industry. It is used to simulate the material flow and energy flow from ore to steel products from the perspective of the production process system. The economic-energy-environmental comprehensive assessment model and the steel production process system planning model system are interactively connected and iterative. The economic-energy-environmental comprehensive assessment model characterizes the future development boundaries of the steel industry from the overall social level. The steel production process system planning model considers the path selection under the upper macro constraints from the micro level, and feeds back to the macro level to achieve iterative feedback. The constructed NESAP-Iron model architecture is as follows: Figure 2 shown.

[0053] The NESAP-Iron model takes economic development and the improvement of people's living standards as its main driving factors, where economic development includes economic aggregate, economic growth rate, industrial structure, etc. People's living standards are mainly measured by variables such as per capita building area, durable goods ownership, household income, and travel turnover. The continuous development of the social economy and the people's higher pursuit of a better life have brought about steel demand in the construction, industry, transportation, residents and other sectors, thereby driving the steel industry to carry out production activities, thereby generating energy consumption activities such as coal, electricity, and natural gas, and generating environmental emissions.

[0054] The NESAP-Iron model explains the production technology details of the steel industry to meet the needs of social and economic activities. Based on the production process and process characteristics of my country's steel industry, the NESAP-Iron model divides the steel production process into long-process and short-process. Long-process steelmaking mainly includes coking, sintering, ironmaking, steelmaking, steel rolling and other processes. The ironmaking process is divided into three processes: blast furnace ironmaking, electric arc furnace direct reduction ironmaking and hydrogen-based direct reduction ironmaking, and includes carbon fixation technology systems such as CCUS. The steelmaking process is divided into two processes: converter steelmaking and electric arc furnace steelmaking. The short-process steelmaking mainly uses scrap steel as the main raw material, and the finished steel is obtained by smelting in an electric arc furnace.

[0055] S2. Calculate the steel production level according to the steel demand in various fields, and calculate the energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with cost parameters. Based on the energy consumption, calculate the carbon emissions separately through the carbon emission factors of different energy sources, and add up the carbon emissions of different energy types to get the total emissions.

[0056] The demand for steel products and services is an important driving factor for energy consumption. This embodiment specifically subdivides the steel product demand scenarios into construction, transportation, etc., and uses a bottom-up dynamic material flow analysis method for measurement. The specific method for calculating the steel production level based on the steel demand in each field is as follows:

[0057]

[0058] Among them, AL is the demand for crude steel, RF represents the increase in building area; TR represents the increase in transportation; RE represents the increase in household appliances; Ex represents the demand for steel in other fields; represents the steel intensity of products such as construction, transportation and household appliances; i represents the type of building, a total of m types, including schools, hospitals, residential buildings, etc.; j represents the type of transportation products, a total of n types, including private cars, passenger cars, freight cars, ships and railways, α, β, γ represent the steel intensity of construction, transportation and household appliances, respectively. When subdividing the output distribution of steel processes, this embodiment adopts the prospective judgment method for proportional decomposition, and combines cost parameters to give the overall transformation cost of different paths, and then calculates the energy consumption according to the steel production level and the energy intensity of the corresponding equipment. The calculation process is:

[0059] EC k =∑ i ∑ j EI i,j ×AL i,j ×S i,j,k ;

[0060] Among them, ECk is the total demand for type k energy in the steel industry, EI i,j is the energy intensity of steel production of equipment i in process j, AL is the steel production level of equipment i in process j, S i,j,k It represents the consumption proportion of the kth energy type in the jth equipment of the ith process. The electricity and other energy consumed in the production of steel will have certain losses during the transmission and distribution process. The loss amount is:

[0061]

[0062] Among them, Loss k is the loss of the kth energy, η k It is the energy transmission efficiency. There is a certain loss in the energy processing and conversion process such as power generation, hydrogen production, and heating. The energy loss and consumption in the conversion process are calculated as follows:

[0063]

[0064] In the formula, ET k represents the total energy consumption of k types of energy processing and conversion, is the processing conversion efficiency of the kth energy source, the total energy demand can be obtained by calculating the terminal energy demand, the intermediate process processing conversion loss and the consumption, that is:

[0065] E k =EC k +ET k ;

[0066] In the formula, E k is the total consumption of the kth energy.

[0067] In terms of carbon emission trend prediction, this embodiment calculates the CO2 emissions of different energy types in the steel industry through the emission coefficient method based on energy forecast data, and obtains the total emissions by adding up the carbon emissions of different energy types. The calculation formula is:

[0068]

[0069] Among them, Emission CO2 is the carbon dioxide emission, E i is the consumption of the i-th energy, ef i is the combustion carbon emission factor of type i energy.

[0070] In addition to energy combustion, steel production also generates process emissions, which are calculated by multiplying the output of steel products by the process emission factor:

[0071]

[0072] Among them, Emission process CO2 is the emission from the steel products industrial process, ef process It is the emission factor of the industrial process of steel products. The emission factor comes from the 2006 IPCC National Greenhouse Gas Inventory Guidelines 2019 Revision.

[0073] The specific conversion method of fossil energy hydrogen production and electric hydrogen coupling is shown in the formula:

[0074]

[0075] In the formula, It represents the primary side coal, gas and electricity consumption for direct hydrogen production in the tth planning level year; It represents the consumption of hydrogen energy produced by coal, gas and primary electricity in the tth planning level year; They are the conversion coefficients of the corresponding primary and secondary energy conversion links respectively.

[0076] The supply and demand balance constraint of terminal electric heating hydrogen energy consumption is:

[0077]

[0078] In the formula, and is the terminal electricity, hydrogen and heat consumption in the tth planning level year. The environmental emission constraints are as follows:

[0079]

[0080] Where η coal , ηgas Indicates the amount of carbon dioxide emitted after the combustion of a unit of coal or gas; Indicates the maximum natural carbon sink potential allocated to the energy system and power system in 2060; Represents the 2020-2060 carbon budget allocated to the power sector.

[0081] S3. Based on the carbon emission path and cost parameters, the transformation cost of the steel industry under different scenario paths is quantitatively measured to calculate the unit emission reduction cost.

[0082] Based on the carbon emission path and cost parameters, the transformation cost of the steel industry under different scenario paths is quantitatively calculated to compare and analyze the emission reduction effects and technical economics under different paths. The specific calculation method for unit emission reduction cost is as follows:

[0083]

[0084] In the formula, TC s n The cost input required to implement technology path n in the steel industry transformation scenario s, including investment cost, fixed cost, production cost, etc. b n is the cost input of adopting the established converter steelmaking technology path n in the baseline scenario b, M b n is the cumulative CO2 reduction in baseline scenario b, M s n is the cumulative emission reduction of technology path n implemented in transformation scenario s. n It is the unit carbon emission reduction cost of scenario path n.

[0085] The beneficial effects of the present invention are as follows:

[0086] Based on the bottom-up NESAP-Iron model, this paper integrates economic, energy and environmental factors, and conducts scenario-by-scenario comparative analysis of the energy demand, energy structure and carbon emission evolution trends during the energy transformation of the steel industry. It identifies the indirect energy input and carbon transfer of electricity and hydrogen energy caused by the steel transformation, and quantifies the carbon reduction potential and transformation cost of the multi-combination steelmaking path, providing data reference and support for the selection of the coordinated transformation path of the steel and power industries under the coupling of electricity and hydrogen.

[0087] System Example

[0088] According to an embodiment of the present invention, a steel and electricity collaborative transformation planning system considering electricity-hydrogen coupling is provided. Figure 3 A schematic diagram of the composition of a steel and electricity collaborative transformation planning system considering electric hydrogen coupling provided for one or more embodiments of this specification, such as Figure 3 As shown, the steel and electricity collaborative transformation planning system considering electric-hydrogen coupling according to an embodiment of the present invention specifically includes:

[0089] Model building module: used to couple the economic-energy-environmental comprehensive assessment model with the steel production process system planning model to build the NESAP-Iron model;

[0090] Emission calculation module: used to calculate the steel production level according to the steel demand in various fields, and calculate the energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameters. Based on the energy consumption, the carbon emissions are calculated separately through the carbon emission factors of different energy sources, and the carbon emissions of different energy types are accumulated to obtain the total emissions;

[0091] Cost assessment module: used to quantitatively measure the transformation costs of the steel industry under different scenario paths based on carbon emission paths and cost parameters, and calculate the unit emission reduction costs.

[0092] The embodiment of the present invention is a system embodiment corresponding to the above-mentioned method embodiment. The specific operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here.

[0093] Device Example 1

[0094] An embodiment of the present invention provides an electronic device, such as Figure 4 As shown, it includes: a memory 40, a processor 42, and a computer program stored in the memory 40 and executable on the processor 42. When the computer program is executed by the processor 42, the following method steps are implemented:

[0095] S1. Couple the economic-energy-environmental comprehensive assessment model with the steel production process system planning model to construct the NESAP-Iron model;

[0096] S2. Calculate the steel production level according to the steel demand in various fields, calculate the energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameters, calculate the carbon emissions based on the energy consumption through the carbon emission factors of different energy sources, and add up the carbon emissions of different energy types to obtain the total emissions;

[0097] S3. Based on the carbon emission path and cost parameters, the transformation cost of the steel industry under different scenario paths is quantitatively measured to calculate the unit emission reduction cost.

[0098] Device Example 2

[0099] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by the processor 42, the following method steps are implemented:

[0100] S1. Couple the economic-energy-environmental comprehensive assessment model with the steel production process system planning model to construct the NESAP-Iron model;

[0101] S2. Calculate the steel production level according to the steel demand in various fields, calculate the energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameters, calculate the carbon emissions based on the energy consumption through the carbon emission factors of different energy sources, and add up the carbon emissions of different energy types to obtain the total emissions;

[0102] S3. Based on the carbon emission path and cost parameters, the transformation cost of the steel industry under different scenario paths is quantitatively measured to calculate the unit emission reduction cost.

[0103] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A steel and electricity synergistic transformation planning method considering electricity-hydrogen coupling, characterized in that: include: The NESAP-Iron model was constructed by coupling the economic-energy-environmental comprehensive assessment model with the steel production process system planning model; Calculate the steel production level according to the steel demand in various fields, calculate the energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameters, calculate the carbon emissions based on the energy consumption through the carbon emission factors of different energy sources, and add up the carbon emissions of different energy types to get the total emissions; Based on the carbon emission path and cost parameters, the transformation cost of the steel industry under different scenario paths is quantitatively measured, and the unit emission reduction cost is calculated.

2. The method according to claim 1, characterized in that The economic-energy-environmental comprehensive assessment model includes a socio-economic demand-driven module, an energy consumption module, an energy conversion and supply module, an environmental emission module, a water resource module, and a natural carbon sink module, which are used to achieve linked quantitative analysis of energy, economic, and environmental systems, and optimize the selection of low-carbon energy transformation scenario paths; the steel production process system planning model is based on the production technology of the steel industry, and is used to simulate the material flow and energy flow from ore to steel products from the perspective of the production process system.

3. The method according to claim 1, characterized in that: The NESAP-Iron model divides the steel production process into long-process and short-process; the long-process steelmaking mainly includes coking, sintering, ironmaking, steelmaking and steel rolling, among which the ironmaking process is divided into three processes: blast furnace ironmaking, electric arc furnace direct reduction ironmaking and hydrogen-based direct reduction ironmaking, and includes the CCUS carbon fixation technology system, and the steelmaking process is divided into two processes: converter steelmaking and electric arc furnace steelmaking; the short-process steelmaking uses scrap steel as the main raw material, and obtains finished steel through electric arc furnace smelting.

4. The method according to claim 1, characterized in that: The specific method for calculating the steel production level based on the steel demand in various fields is as follows: Among them, AL is the demand for crude steel, RF represents the increase in building area; TR represents the increase in transportation vehicles; RE represents the increase in household appliances; Ex represents the demand for steel in other fields; it represents the steel intensity of products such as construction, transportation and household appliances; i represents the type of building, there are m types in total, including schools, hospitals, residential houses, etc.; j represents the type of transportation products, there are n types in total, including private cars, passenger cars, freight trucks, ships and railways; α, β, γ represent the steel intensity of construction, transportation and household appliances respectively.

5. The method according to claim 1, characterized in that The specific method for calculating energy consumption based on the combined cost parameters and the energy intensity of steel production level and corresponding equipment is as follows: The prospective analysis method is used to decompose the output distribution of the subdivided steel process in proportion, and the overall transformation cost of different paths is given in combination with cost parameters. Then, the energy consumption is calculated based on the steel production level and the energy intensity of the corresponding equipment. The calculation process is as follows: EC k =∑ i ∑ j HE i,j × AL i,j ×S i,j,k ; Among them, ECk is the total demand for type k energy in the steel industry, EI i,j is the energy intensity of steel production of equipment i in process j, AL is the steel production level of equipment i in process j, S i,j,k It represents the consumption proportion of the kth energy type in the jth equipment of the i process; the electricity and other energy consumed in the production of steel will have certain losses during the transmission and distribution process, and the loss amount is: Among them, Loss k is the loss of the kth energy, η k It is the energy transmission efficiency. There is a certain loss in the energy processing and conversion process such as power generation, hydrogen production, and heat production. The energy loss and consumption in the conversion process are calculated as follows: In the formula, ET k represents the total energy consumption of k types of energy processing and conversion, is the processing conversion efficiency of the kth energy source, the total energy demand can be obtained by calculating the terminal energy demand, the intermediate process processing conversion loss and the consumption, that is: From k =EC k +AND k ; In the formula, E k is the total consumption of the kth energy.

6. The method according to claim 1, characterized in that The specific method for calculating the carbon emissions based on the energy consumption by using the carbon emission factors of different energy sources is as follows: Based on energy forecast data, the CO2 emissions of different energy types in the steel industry are calculated using the emission coefficient method, and the total emissions are obtained by adding up the carbon emissions of different energy types. The calculation formula is: Among them, Emission CO2 is the carbon dioxide emission, E i is the consumption of the i-th energy, ef i is the combustion carbon emission factor of type i energy; Process emissions are also generated in steel production, which are calculated by multiplying the output of steel products by the process emission factor: Among them, Emission process CO2 is the emission from the steel products industrial process, ef process is the emission factor for the industrial process of steel products.

7. The method according to claim 1, characterized in that Based on the carbon emission path and cost parameters, the transformation cost of the steel industry under different scenario paths is quantitatively calculated. The specific calculation method for unit emission reduction cost is as follows: Where TC s n The cost input required to implement technology path n in the steel industry transformation scenario s, including investment cost, fixed cost and production cost; TC b n is the cost input of adopting the established converter steelmaking technology path n in the baseline scenario b, M b n is the cumulative CO2 reduction in baseline scenario b, M s n is the cumulative emission reduction of technology path n implemented in transition scenario s; MC n It is the unit carbon emission reduction cost of scenario path n.

8. A steel and electricity synergistic transformation planning system considering electricity and hydrogen coupling, characterized in that: include: Model building module: used to couple the economic-energy-environmental comprehensive assessment model with the steel production process system planning model to build the NESAP-Iron model; Emission calculation module: used to calculate the steel production level according to the steel demand in various fields, and calculate the energy consumption based on the steel production level and the energy intensity of the corresponding equipment in combination with the cost parameters. Based on the energy consumption, the carbon emissions are calculated separately through the carbon emission factors of different energy sources, and the carbon emissions of different energy types are accumulated to obtain the total emissions; Cost assessment module: used to quantitatively measure the transformation costs of the steel industry under different scenario paths based on carbon emission paths and cost parameters, and calculate the unit emission reduction costs.

9. An electronic device, characterized in that: include: processor; as well as, A memory arranged to store computer executable instructions, which, when executed, cause the processor to implement the steps of the steel and electricity coordinated transformation planning method considering electric hydrogen coupling as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: Used to store computer executable instructions, which, when executed, implement the steps of the steel and electricity coordinated transformation planning method considering electric hydrogen coupling as described in any one of claims 1 to 7.

Images