Iron and steel industry carbon emission monitoring method based on electricity-carbon coupling model

Abstract

The invention relates to a steel industry carbon emission monitoring method based on an electricity-carbon coupling model. The method specifically comprises the following steps: collecting production data of an enterprise in a previous period of time; enterprise production attributes are calculated according to enterprise production material conditions; calculating an electricity carbon emission factor corresponding to the production link and an electricity carbon emission factor of non-production electricity; collecting production raw material data and outsourcing power data at the current stage; calculating product yield data under the current full-link production according to the enterprise generation attributes, the production raw material data and the outsourcing electricity data; calculating electric energy generated by power production of the iron and steel enterprise at the current stage according to the product yield data; calculating electric energy loss in the production process of the iron and steel enterprise according to the product yield data; calculating the carbon emission generated at the current stage according to the previously calculated data; returning the carbon emission data of the current time period; the method has the advantages that various data are fused, an electricity carbon data model is established, accurate calculation is achieved, and the real-time performance and the accuracy are higher.

Description

Technical Field

[0001] The present invention belongs to the technical field of carbon monitoring, carbon metering, and carbon dioxide emissions from steel enterprises, and specifically relates to a carbon emissions monitoring method for the steel industry based on an electric-carbon coupling model. Background Art

[0002] The steel industry is the industry with the highest carbon emissions in my country except for the power industry, ranking first among the 31 manufacturing industries. In order to actively respond to the construction of new power systems, the construction of new energy systems, and the implementation of the "dual carbon" policy, it is imperative to conduct carbon emission application research in the steel industry; however, the existing carbon measurement methods of steel enterprises / industries still use the guidance method of the "Guidelines for Accounting and Reporting of Greenhouse Gas Emissions by Chinese Steel Production Enterprises" to measure carbon dioxide emissions. The measurement cycle is long, there are many links to consider, and it cannot adapt to the changing electricity-carbon market environment; therefore, it is very necessary to provide a carbon emission monitoring method for the steel industry based on an electricity-carbon coupling model that integrates multiple data, establishes an "electricity-carbon" data model, and achieves precise calculations, with higher real-time and accuracy. Summary of the invention

[0003] 1. Technical issues

[0004] In view of the above-mentioned existing technical status, this application mainly addresses the following technical problems:

[0005] 1. The existing carbon measurement methods of steel enterprises / industries are still based on the guidance of the "Guidelines for the Calculation and Reporting of Greenhouse Gas Emissions by Chinese Steel Production Enterprises" to measure carbon dioxide emissions;

[0006] 2. The measurement cycle is long, there are many links to consider, and it cannot adapt to the changing electricity-carbon market environment.

[0007] (II) Technical solution

[0008] The purpose of the present invention is to overcome the shortcomings of the prior art and to provide a carbon emission monitoring method for the steel industry based on an electric-carbon coupling model that integrates multiple data, establishes an "electric-carbon" data model, and achieves precise calculations with higher real-time performance and accuracy.

[0009] The object of the present invention is achieved by: a method for monitoring carbon emissions in the steel industry based on an electric-carbon coupling model, the method comprising the following steps:

[0010] Step 1: Collect the production data of the enterprise in the previous period;

[0011] Step 2: Calculate the production attributes of the enterprise based on the production data of the enterprise: including the conversion matrix H and the carbon emission factor matrix EF of the power generation gas gas ;

[0012] Step 3: Calculate the electricity carbon emission factor EF corresponding to the production process pro and the carbon emission factor EF for non-production electricity other ;

[0013] Step 4: Collect data on current production materials And purchased electricity data

[0014] Step 5: Generate attributes H and EF based on the enterprise gas , production raw material data And purchased electricity data Calculate the product output data of the current full-link production

[0015] Step 6: Based on product output data Calculate the current electricity generated by the steel industry

[0016] Step 7: Based on product output data Calculate the power loss in the production process of steel enterprises

[0017] Step 8: Calculate the carbon emissions generated in the current phase based on the previously calculated data

[0018] Step 9: Return the carbon emission data for the current time period.

[0019] Furthermore, the production data of the enterprise in the previous period is collected in step 1, including: the gas matrix S of various types of gas involved in the internal power plant power production generated during the production process gas , the non-gas product matrix S generated during the production process pro , the raw material matrix S added by the steel industry raw , the carbon emissions measured or calculated by the company Electricity consumption of steel enterprises all , Enterprise power purchase situation P in , power consumption of steel production processδ pro .

[0020] Furthermore, the raw material matrix S added by the steel industry raw for:

[0021] in, It is the output of crude coking gas generated in steel production; is the blast furnace gas output; is the converter gas output.

[0022] Furthermore, the various gas matrices S generated during the production process and involved in the internal power plant electricity production gas for: in, It is the output of crude coking gas generated in steel production; is the blast furnace gas output; is the converter gas output.

[0023] Furthermore, the non-gas product matrix S generated during the production process pro for: in, is the thermal coke output; is the output of thermal ore; is the molten iron output; is crude steel output; Output of steel products.

[0024] Furthermore, the power consumption of the steel production process δ pro for: Among them, δ sin is the power consumption corresponding to sintering; δ cok is the power consumption corresponding to coking; δ iron is the power consumption corresponding to ironmaking; δ steel is the power consumption corresponding to steelmaking; δ roll is the power consumption corresponding to steel rolling.

[0025] Furthermore, the calculation relationship of the conversion matrix H in step 2 is: The carbon emission factor matrix EF of the power generation gas gas The single calculation formula is: Among them, NVC i is the average lower calorific value of the nuclear corresponding combustion gas; CC i is the carbon content per unit calorific value of the corresponding combustion gas; OF i is the carbon oxidation rate of the corresponding combustion gas; The corresponding matrix calculation formula is: P gas =S gas diag(F i η i |i∈ξ gas ), where F i is the lower heat of the corresponding gas; η i is the thermal efficiency of the power generation unit in the steel plant; the function diag(*) represents a matrix with * as the diagonal element and the remaining elements are 0; ξ gas For other collections.

[0026] Furthermore, the step 3 is specifically as follows: the two electricity carbon emission factors are mainly obtained by minimizing the actual enterprise carbon dioxide emissions. Carbon emissions calculated using the electric carbon model The difference between the two is used to determine the carbon emission factor. The specific formula and constraints are as follows: The calculation formula is: Among them, EF is the corresponding carbon emission factor of electricity generated by the whole process of steel enterprises; P is the electricity consumption and electricity generation in the whole process of steel production; S product is the output of carbon sequestration products; EF product is the carbon emission factor of carbon sequestration products.

[0027] Furthermore, the steps 6 and 7 are specifically as follows: according to the product output data Calculate the current electricity generated by the steel industry According to product output data Calculate the power loss in the production process of steel enterprises

[0028] Furthermore, the step 8 is specifically as follows:

[0029] (III) Beneficial effects

[0030] 1. The present invention uses electricity to check carbon, observe carbon, and reduce carbon, integrates various raw material consumption data and electricity consumption data, establishes an "electricity-carbon" data model, realizes accurate calculation of the electricity-carbon conversion relationship, and assists carbon accounting in the steel industry, with higher overall real-time and accuracy;

[0031] 2. The present invention proposes an electric carbon emission monitoring algorithm for steel enterprises, which is more adaptable to the changing electric carbon market environment;

[0032] 3. The present invention can timely measure the carbon emissions generated in the production process of an enterprise, which is more real-time than traditional methods;

[0033] 4. The present invention automatically updates the production attributes of the enterprise according to changes in the enterprise's production environment, which is more in line with the actual situation of the enterprise's carbon emissions at this stage and has higher calculation accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is the production flow chart of the steel enterprise of the present invention. DETAILED DESCRIPTION

[0035] The present invention provides a carbon emission monitoring method for the steel industry based on an electricity-carbon coupling model. By integrating various raw material consumption data and electricity consumption data, an "electricity-carbon" data model is established to achieve accurate calculation of the electricity-carbon conversion relationship, thereby assisting the carbon accounting of the steel industry. The algorithm is mainly divided into two parts. The first part calculates the electricity-carbon emission factors of all links in the steel industry based on historical data or data from the previous period. The second part calculates the carbon emissions generated in each link in the current stage based on the calculated electricity-carbon emission factors and raw material consumption data.

[0036] The present invention is further described below in conjunction with embodiments and / or drawings.

[0037] Example 1

[0038] like Figure 1 As shown, a carbon emission monitoring method for the steel industry based on an electric-carbon coupling model comprises the following steps:

[0039] Step 1: Collect the production data of the enterprise in the previous period;

[0040] In the present invention, the production data of the enterprise in the previous period is collected, including: the gas matrix S of various types of gas generated during the production process and involved in the power production of the internal power plant gas , the non-gas product matrix S generated during the production process pro , the raw material matrix S added by the steel industry raw , the carbon emissions E measured or calculated by the enterprise CO2 , Electricity consumption of steel enterprises all , Enterprise power purchase situation P in , power consumption of steel production processδ pro .

[0041] Among them① Figure 1 In the steelmaking process, four types of raw materials need to be added to participate in the steelmaking process, including the amount of mixed coal Amount of iron ore and other materials Anthracite and other materials used Pig iron and other materials therefore:

[0042] ②In Figure 1 The output of crude coking gas generated in steel production Blast furnace gas output Converter gas output etc., therefore:

[0043] ③In Figure 1 The output of non-gas products generated in each production link, including the output of thermal coke Thermal ore production Hot metal output Crude steel production Steel product output therefore:

[0044] ④ Carbon emissions measured or calculated by the enterprise Electricity consumption of steel enterprises all , power consumption of steel production processδ pro It can be obtained from the enterprise's periodic statistical data, so it is assumed to be a known quantity by default; the power consumption per unit time is P all , where the external power purchase is P in , the self-generated electricity of the steel plant is P out , the following relationship exists: P in =PP out , where F i is the lower heat of the corresponding gas; η i The thermal efficiency of the generator set in the steel plant; Crude coking gas produced in steel production Blast furnace gas Converter gas Output of products involved in electricity production.

[0045] ⑤ The power consumption of the steel production process includes the power consumption corresponding to sintering, which is δ sin , the power consumption corresponding to coking is δ cok , the power consumption corresponding to ironmaking is δ iron , the corresponding power consumption for steelmaking is δ steel , the power consumption corresponding to steel rolling is δ roll ,therefore:

[0046] Step 2: Calculate the production attributes of the enterprise based on the production data of the enterprise: including the conversion matrix H and the carbon emission factor matrix EF of the power generation gas gas ;

[0047] In the present invention, the calculation relationship of the conversion matrix H is: The carbon emission factor matrix EF of the power generation gas gas The single calculation formula is: Among them, NVC i is the average lower calorific value of the nuclear corresponding combustion gas; CC i is the carbon content per unit calorific value of the corresponding combustion gas; OF i The carbon oxidation rate of the corresponding combustion gas, or directly use the default value; these three types of data can be obtained based on the data published by the country and enterprises; The corresponding matrix calculation formula is: P gas =S gas diag(F i η i |i∈ξ gas ), Among them, F i is the lower heat of the corresponding gas; η i is the thermal efficiency of the generator set in the steel plant, which can be obtained through the internal production data of the steel enterprise; the function diag(*) represents a matrix with * as the diagonal element and the remaining elements are 0; ξ gas For other collections.

[0048] For example, in this example, the carbon emission factor matrix for power generation gas is The carbon emission factor of crude coking coal gas is The carbon emission factor of blast furnace gas is The carbon emission factor of converter gas is According to the formula, H and EF can be calculated gas .

[0049] Step 3: Calculate the electricity carbon emission factor EF corresponding to the production process pro and the carbon emission factor EF for non-production electricity other ;

[0050] In the present invention, the two electricity carbon emission factors are mainly calculated by minimizing the actual enterprise carbon dioxide emissions E CO2 Carbon emissions calculated using the electric carbon model The difference between the two is used to determine the carbon emission factor. The specific formula and constraints are as follows: in, The actual data measured by the steel enterprises can be used, or the calculation formula from the "Guidelines for the Calculation and Reporting of Greenhouse Gas Emissions from Chinese Steel Production Enterprises" can be used; The calculation formula is: Among them, EF is the corresponding carbon emission factor of electricity generated by the whole process of steel enterprises; P is the electricity consumption and electricity generation in the whole process of steel production; S product is the output of carbon sequestration products; EF product is the carbon emission factor of carbon sequestration products.

[0051] In this case, S product For steel products EF product The carbon emission factor of steel products, EF, is: Among them, EF pro =[EF cok ,EF sin ,EFiron ,EF steel ,EF roll ] is the electric carbon emission factor corresponding to the coking process, sintering process, ironmaking process, steelmaking process and steel rolling process; EF in It is the carbon emission factor of purchased electricity, which can be assigned according to the carbon emission factor of the national grid line.

[0052] P is: Among them, P other In order to exclude the electricity used in the steel production process, the electricity used in other places of the steel enterprise; in P is the amount of electricity purchased from outside; pro is the power loss in the production process of the enterprise, and its calculation formula is: P pro =S pro diag(δ pro ),

[0053] Step 4: Collect data on current production materials And purchased electricity data

[0054] Step 5: Generate attributes H and EF based on the enterprise gas , production raw material data And purchased electricity data Calculate the product output data of the current full-link production

[0055] Step 6: Based on product output data Calculate the current electricity generated by the steel industry

[0056] Step 7: Based on product output data Calculate the power loss in the production process of steel enterprises

[0057] Step 8: Calculate the carbon emissions generated in the current phase based on the previously calculated data

[0058] Step 9: Return the carbon emission data for the current time period.

[0059] The present invention is a carbon emission monitoring method for the steel industry based on an electricity-carbon coupling model. During use, the present invention establishes an "electricity-carbon" data model by integrating various raw material consumption data and electricity consumption data, thereby realizing accurate calculation of the electricity-carbon conversion relationship and assisting the carbon accounting of the steel industry. The method of the present invention can obtain the unique production attributes of steel enterprises based on historical data, and realize the carbon emission calculation of steel enterprises based on production attributes, means of production, and electricity consumption data, thereby guiding the production activities of enterprises to be more low-carbon and green. The present invention has the advantages of integrating multiple data, establishing an "electricity-carbon" data model, realizing accurate calculation, and having higher real-time and accuracy.

[0060] Example 2

[0061] like Figure 1 As shown, a carbon emission monitoring method for the steel industry based on an electric-carbon coupling model comprises the following steps:

[0062] Step 1: Collect the production data of the enterprise in the previous period;

[0063] Step 2: Calculate the production attributes of the enterprise based on the production data of the enterprise: including the conversion matrix H and the carbon emission factor matrix EF of the power generation gas gas ;

[0064] Step 3: Calculate the electricity carbon emission factor EF corresponding to the production process pro and the carbon emission factor EF for non-production electricity other ;

[0065] Step 4: Collect data on current production materials And purchased electricity data

[0066] Step 5: Generate attributes H and EF based on the enterprise gas , production raw material data And purchased electricity data Calculate the product output data of the current full-link production

[0067] In the present invention, in this example, the calculation formula is:

[0068] Step 6: Based on product output data Calculate the current electricity generated by the steel industry

[0069] In the present invention, according to the product output data Calculate the current electricity generated by the steel industry

[0070] Step 7: Based on product output data Calculate the power loss in the production process of steel enterprises

[0071] In the present invention, according to the product output data Calculate the power loss in the production process of steel enterprises

[0072] Step 8: Calculate the carbon emissions generated in the current phase based on the previously calculated data

[0073] In the present invention, in, is the carbon emission factor for steel products.

[0074] Step 9: Return the carbon emission data for the current time period.

[0075] The algorithm flow of the present invention is as follows:

[0076]

[0077]

[0078] The present invention is a carbon emission monitoring method for the steel industry based on an electricity-carbon coupling model. During use, the present invention establishes an "electricity-carbon" data model by integrating various raw material consumption data and electricity consumption data, thereby realizing accurate calculation of the electricity-carbon conversion relationship and assisting the carbon accounting of the steel industry. The method of the present invention can obtain the unique production attributes of steel enterprises based on historical data, and realize the carbon emission calculation of steel enterprises based on production attributes, means of production, and electricity consumption data, thereby guiding the production activities of enterprises to be more low-carbon and green. The present invention has the advantages of integrating multiple data, establishing an "electricity-carbon" data model, realizing accurate calculation, and having higher real-time and accuracy.

Claims

1. A carbon emission monitoring method for the steel industry based on an electric-carbon coupling model, characterized in that: The method comprises the following steps: Step 1: Collect the production data of the enterprise in the previous period; Step 2: Calculate the production attributes of the enterprise based on the production data of the enterprise: including the conversion matrix H and the carbon emission factor matrix EF of the power generation gas gas ; Step 3: Calculate the electricity carbon emission factor EF corresponding to the production process pro and the carbon emission factor EF for non-production electricity other ; Step 4: Collect data on current production materials And purchased electricity data Step 5: Generate attributes H and EF based on the enterprise gas , production raw material data And purchased electricity data Calculate the product output data of the current full-link production Step 6: Based on product output data Calculate the current electricity generated by the steel industry Step 7: Based on product output data Calculate the power loss in the production process of steel enterprises Step 8: Calculate the carbon emissions generated in the current phase based on the previously calculated data Step 9: Return the carbon emission data for the current time period.

2. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 1, characterized in that: In step 1, the production data of the enterprise in the previous period is collected, including: the gas matrix S of various types of gas involved in the internal power plant power production generated during the production process gas , the non-gas product matrix S generated during the production process pro , the raw material matrix S added by the steel industry raw , the carbon emissions measured or calculated by the company Electricity consumption of steel enterprises all , Enterprise power purchase situation P in , power consumption of steel production processδ pro .

3. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 2 is characterized in that: The raw material matrix S added by the steel industry raw for: in, It is the output of crude coking gas generated in steel production; is the blast furnace gas output; is the converter gas output.

4. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 2 is characterized in that: The gas matrix S of various types of gases involved in the internal power plant electricity production generated in the production process gas for: in, It is the output of crude coking gas generated in steel production; is the blast furnace gas output; is the converter gas output.

5. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 2, characterized in that: The non-gas product matrix S generated in the production process pro for: in, is the thermal coke output; is the output of thermal ore; is the molten iron output; is crude steel output; Output of steel products.

6. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 2, characterized in that: The power consumption of the steel production process δ pro for: Among them, δ sin is the power consumption corresponding to sintering; δ cok is the power consumption corresponding to coking; δ iron is the power consumption corresponding to ironmaking; δ steel is the power consumption corresponding to steelmaking; δ roll is the power consumption corresponding to steel rolling.

7. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 1, characterized in that: The calculation relationship of the conversion matrix H in step 2 is: The carbon emission factor matrix EF of the power generation gas gas The single calculation formula is: Among them, NVC i is the average lower calorific value of the nuclear corresponding combustion gas; CC i is the carbon content per unit calorific value of the corresponding combustion gas; OF i is the carbon oxidation rate of the corresponding combustion gas; The corresponding matrix calculation formula is: P gas =S gas diag(F i η i i∈ξ gas ), where F i is the lower heat of the corresponding gas; η i is the thermal efficiency of the power generation unit in the steel plant; the function diag(*) represents a matrix with * as the diagonal element and the remaining elements are 0; ξ gas For other collections.

8. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 1, characterized in that: The specific step 3 is: the two electricity carbon emission factors are mainly calculated by minimizing the actual enterprise carbon dioxide emissions. Carbon emissions calculated using the electric carbon model The difference between the two is used to determine the carbon emission factor. The specific formula and constraints are as follows: The calculation formula is: Among them, EF is the corresponding carbon emission factor of electricity generated by the whole process of steel enterprises; P is the electricity consumption and electricity generation in the whole process of steel production; S product is the output of carbon sequestration products; EF product is the carbon emission factor of carbon sequestration products.

9. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 1, characterized in that: The specific steps of step 6 and step 7 are: Calculate the current electricity generated by the steel industry According to product output data Calculate the power loss in the production process of steel enterprises 10. The carbon emission monitoring method for the steel industry based on the electric-carbon coupling model according to claim 1, characterized in that: The step 8 is specifically as follows:

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