Optimized actual measurement method for carbon emission accounting of high-energy-consumption enterprise

Abstract

The invention relates to the technical field of energy conservation and carbon reduction in the high-energy-consumption industry, and discloses an optimized actual measurement method for carbon emission accounting of a high-energy-consumption enterprise, and the method comprises the steps: obtaining carbon emission data of the high-energy-consumption enterprise through a method for collecting activity data and carbon emission coefficients of the high-energy-consumption enterprise and a method for organizing actual measurement of a carbon emission source; calculating a historical carbon emission optimization factor; by constructing a carbon emission optimization factor prediction model and combining the actually measured carbon emission of the organized carbon emission source of the high-energy-consumption enterprise, the actually measured carbon emission optimization value of the high-energy-consumption enterprise is obtained. The method is used for optimizing and improving an actual measurement method for carbon emission accounting of the high-energy-consumption enterprise, the problem that the reliability of actual measurement method data is not high due to a large number of unorganized carbon emission sources existing in the production process of the high-energy-consumption enterprise is solved, and rapid and refined accounting of the carbon emission of the high-energy-consumption enterprise is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy-saving and carbon reduction in high energy-consuming industries, in particular to an optimized measurement method for carbon emission accounting of high energy-consuming enterprises. BACKGROUND

[0002] High energy-consuming enterprises need to develop scientific and reasonable carbon emission reduction strategies and paths in combination with current policy requirements, market mechanisms and technical methods. Accurate carbon emission data of enterprises is a prerequisite for developing relevant strategies and paths, therefore, accurate carbon emission accounting needs to be carried out for high energy-consuming enterprises. There are mainly three carbon emission accounting methods, namely mass balance method, emission factor method and measurement method. The mass balance method is based on the specific production process of high energy-consuming enterprises, and establishes the carbon balance relationship between the carbon-containing raw materials and fuels input into the process system and the carbon-containing products, by-products and waste. The advantage is high accounting accuracy, but the accuracy, completeness and refinement of each item of data of input and output are required to be extremely high, and the calculation process is complex and the accounting difficulty is high. The emission factor method is based on the activity data and emission factors in the production process of high energy-consuming enterprises, and the calculation process is relatively simple. It is the widely used carbon emission accounting method at present, but this method also needs to collect various carbon-containing fuels, production raw materials, chemical agents and other data consumed by enterprises, and carry out subsequent carbon emission accounting work, and the accounting period is relatively long. The measurement method directly uses CEMS (continuous emission monitoring system) to continuously and dynamically monitor the organized emission sources of high energy-consuming enterprises, which has few intermediate links, can directly obtain carbon emission data, and is convenient for enterprises and environmental protection departments to monitor carbon emissions, but this method also has the problem of low data reliability.

[0003] There are problems of unorganized carbon dioxide emissions in each process of high energy-consuming enterprises such as steel and copper smelting. For example, there are a large number of unorganized carbon emission sources in the sintering, coking, ironmaking and steelmaking links of the production process of steel enterprises, especially the number of unorganized carbon emission sources in the sintering and ironmaking workshops is more than one hundred. The measurement method is difficult to cover the complex multi-source emission scene comprehensively. The unorganized carbon emission sources of high energy-consuming enterprises have the characteristics of small single source, many emission points and large total emission amount, which is also the main reason for the low data reliability of the measurement method. How to take advantage of the simple monitoring process, direct carbon emission data and continuous dynamic monitoring of the measurement method, while avoiding the problem of low data reliability is a problem that needs to be improved in the prior art. SUMMARY

[0004] In view of the shortcomings of the prior art, the present application provides an optimized measurement method for carbon emission accounting of high energy-consuming enterprises, which has the advantages of rapid and refined accounting of carbon emission of high energy-consuming enterprises, and solves the above technical problems.

[0005] To achieve the above object, the present application provides the following technical scheme: a measured method for optimizing carbon emission accounting of high energy-consuming enterprises, comprising the following steps: S1: collecting various fuel consumptions, carbon-containing raw material consumptions, power consumptions and heat consumptions of the high energy-consuming enterprise in a set carbon emission accounting time period; S2: obtaining carbon emission coefficients of various fuels, carbon-containing raw materials, power and heat, and calculating the carbon emission of the high energy-consuming enterprise; S3: obtaining the total measured carbon emission of the high energy-consuming enterprise by using the measured method; S4: comprehensively constructing a historical carbon emission optimization factor based on S2 and S3; S5: constructing a carbon emission optimization factor model based on the historical carbon emission optimization factor; S6: calculating the optimized value of the carbon emission of the high energy-consuming enterprise based on the predicted value of the carbon emission optimization factor and the total measured carbon emission of the organized emission source of the enterprise.

[0006] As a preferred technical scheme of the present application, the specific expression for calculating the carbon emission of the high energy-consuming enterprise in S2 is as follows: Wherein, is the total carbon emission of the high energy-consuming enterprise, is the carbon emission of the high energy-consuming enterprise due to the combustion of fuels, is the carbon emission of the high energy-consuming enterprise due to the consumption of carbon-containing raw materials, is the carbon emission of the high energy-consuming enterprise due to the net purchase of power and heat.

[0007] As a preferred technical scheme of the present application, the specific expression for the carbon emission of the high energy-consuming enterprise due to the combustion of fuels is as follows: Wherein, is the carbon emission of the high energy-consuming enterprise due to the combustion of fuels, is the low calorific value of the fth fuel, is the consumption of the fth fuel, is the unit calorific value carbon content of the fth fuel, represents the carbon oxidation rate of the fth fuel, represents summation. As a preferred technical scheme of the present application, the specific expression for the carbon emission of the high energy-consuming enterprise due to the consumption of carbon-containing raw materials is as follows:

[0008] As a preferred technical scheme of the present application, the specific expression for the carbon emission of the high energy-consuming enterprise due to the consumption of carbon-containing raw materials is as follows: ​​​​ wherein, is the carbon emission amount of the high energy-consuming enterprise due to the consumption of carbon-containing raw materials, is the consumption amount of carbon-containing raw material j, is the carbon emission coefficient of carbon-containing raw material j.

[0009] As a preferred technical solution of the present application, the carbon emission amount of the high energy-consuming enterprise due to net purchase of electricity and heat is The specific expression is as follows: wherein, is the carbon emission amount of the high energy-consuming enterprise due to net purchase of electricity and heat, is the consumption amount of electricity and heat net purchased by the high energy-consuming enterprise, is the average carbon emission coefficient of electricity and heat net purchased by the high energy-consuming enterprise.

[0010] As a preferred technical solution of the present application, the specific expression of S3 for obtaining the measured total carbon emission amount of the high energy-consuming enterprise by the measurement method is as follows: wherein, represents the measured total carbon emission amount of the high energy-consuming enterprise by the measurement method, represents the total number of carbon emission sources, represents the measured carbon emission amount of the i-th carbon emission source of the high energy-consuming enterprise.

[0011] As a preferred technical solution of the present application, the expression of the historical carbon emission amount optimization factor constructed based on S2 and S3 in S4 is as follows: wherein, is the total carbon emission amount of the high energy-consuming enterprise, represents the measured total carbon emission amount of the high energy-consuming enterprise by the measurement method, represents the historical carbon emission amount optimization factor at the i-th moment, and i represents the i-th moment.

[0012] As a preferred technical solution of the present application, the expression of the carbon emission amount optimization factor model constructed based on the historical carbon emission amount optimization factor in S5 is as follows: wherein, is the predicted value of the carbon emission amount optimization factor at the t-th moment, which is given by the historical carbon emission amount optimization factor values at the previous i moments and an error term, is a regression coefficient, ​​A historical carbon emission optimization factor at a time t-i is set, i is an i th time, and t is a t th time, is an error term.

[0013] As a preferred technical scheme of the present application, the S6 is based on the carbon emission optimization factor prediction value and the measured total carbon emission of the organized emission source of the enterprise, and the expression of the carbon emission optimization value of the high energy consumption enterprise is calculated as: wherein, is the carbon emission optimization value of the high energy consumption enterprise, represents the measured total carbon emission of the high energy consumption enterprise obtained by the measurement method, is a t th time carbon emission optimization factor prediction value, and t is a t th time.

[0014] Compared with the prior art, the present application provides an optimized measurement method for carbon emission accounting of high energy consumption enterprises, which has the following beneficial effects: The present application optimizes and improves the measurement method for carbon emission accounting of high energy consumption enterprises by constructing a carbon emission optimization factor based on activity data, carbon emission coefficient and measured carbon emission of the organized carbon emission source of the high energy consumption enterprise, overcomes the problem of low reliability of the measurement method data caused by a large number of unorganized carbon emission sources in the production process of the high energy consumption enterprise, has the advantages of direct acquisition of carbon emission data and continuous dynamic monitoring, and realizes rapid and fine accounting of carbon emission of high energy consumption enterprises. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 is a flowchart of the present application. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0017] Please refer to Figure 1 , an optimized measurement method for carbon emission accounting of high energy consumption enterprises, comprising the following steps: S1: Collect the consumption data of various fuels, carbon-containing raw materials, electricity and heat of high energy-consuming enterprises in the set carbon emission accounting period. Among them, the consumed various fuels include anthracite, bituminous coal, lignite, fuel oil, diesel, gasoline, natural gas, coke oven gas, blast furnace gas and other fuels, the consumed carbon-containing raw materials include coke, blue carbon and other reducing agents, dolomite, limestone and other fluxes, electrodes and other carbon-containing raw materials, etc.

[0018] S2: Obtain the carbon emission coefficients of various fuels, carbon-containing raw materials, electricity and heat through authoritative databases and enterprise self-testing, etc. According to the consumption data of various fuels, carbon-containing raw materials, electricity and heat and the carbon emission coefficients, the carbon emission calculation expression of high energy-consuming enterprises is constructed: Among them, is the total carbon emission of high energy-consuming enterprises, with the unit of t; is the carbon emission of high energy-consuming enterprises due to the combustion of fossil fuels, with the unit of t; is the carbon emission of high energy-consuming enterprises due to the consumption of carbon-containing raw materials, with the unit of t; is the carbon emission of high energy-consuming enterprises due to the net purchase of electricity and heat, with the unit of t.

[0019] The calculation method of the carbon emission of high energy-consuming enterprises due to the combustion of fossil fuels: Among them, is the carbon emission of high energy-consuming enterprises due to the combustion of fossil fuels, with the unit of t; is the low calorific value of fossil fuel f, with the unit of GJ / t or GJ / 10,000 Nm 3 ; is the consumption of the fth fuel, with the unit of t or 10,000 Nm 3 ; is the unit calorific value carbon content of fossil fuel f, with the unit of tCO2 / GJ; is the carbon oxidation rate of fossil fuel f%.

[0020] The calculation method of the carbon emission of high energy-consuming enterprises due to the consumption of carbon-containing raw materials: Among them, is the carbon emission of high energy-consuming enterprises due to the consumption of carbon-containing raw materials, with the unit of t; is the consumption of carbon-containing raw material j, with the unit of t; is the carbon emission coefficient of carbon-containing raw material j, with the unit of t / t.

[0021] The calculation method of the carbon emission of high energy-consuming enterprises due to the net purchase of electricity and heat: wherein, is the carbon emission of high energy-consuming enterprises due to net purchase of electricity and heat, in t; is the consumption of electricity and heat purchased by high energy-consuming enterprises, in MWh or GJ; is the average carbon emission factor of electricity and heat purchased by high energy-consuming enterprises, in tCO2 / GJ or tCO2 / MWh.

[0022] S3 marks the number of organized carbon emission sources of high energy-consuming enterprises as n, and collects the measured carbon emission of n organized carbon emission sources of enterprises, wherein the measured carbon emission of the kth organized carbon emission source is denoted as , the calculation expression of the total measured carbon emission of organized carbon emission sources of high energy-consuming enterprises is: wherein, is the total measured carbon emission of organized emission sources of high energy-consuming enterprises, in t; is the measured carbon emission of the kth organized emission source of high energy-consuming enterprises, in t; and n is the number of organized carbon emission sources.

[0023] S4: calculates the carbon emission of high energy-consuming enterprises in a set time period according to the consumption and emission factor of each type of fuel, carbon-containing raw material, electricity and heat and the total measured carbon emission of organized emission sources of enterprises calculates the historical carbon emission optimization factor AF in the set time period i , and the expression is: wherein, is the historical carbon emission optimization factor at the ith time; and i is the ith time; is the carbon emission of high energy-consuming enterprises in a set time period according to the consumption and emission factor of each type of fuel, carbon-containing raw material, electricity and heat, in t; is the total measured carbon emission of organized emission sources of enterprises, in t.

[0024] S5: constructs a carbon emission optimization factor model based on the historical carbon emission optimization factor in each set time period, and the expression is: wherein, is the predicted value of the carbon emission optimization factor, which is given by the historical carbon emission optimization factor values at the first i time and an error term; is a regression coefficient; a historical carbon emission optimization factor at a time t-i in a time period; i is an i th time; t is a t th time, and ε t an error term.

[0025] S6: based on the carbon emission optimization factor prediction value and the total carbon emission of the enterprise organized emission source actually measured, a carbon emission optimization value of the high energy consumption enterprise is calculated, and the expression is: wherein, the carbon emission optimization value of the high energy consumption enterprise; the total carbon emission of the enterprise organized emission source actually measured, and the unit is t; Example 1 Taking a steel smelting enterprise as an example: The consumption data of various types of energy, carbon-containing materials, electricity and heat of a certain steel smelting enterprise, carbon emission coefficients, and carbon emission data actually measured by the enterprise are obtained; the data sources are annual reports disclosed by the enterprise and data published on the website of the enterprise, and carbon emission data actually measured by the emission source of the enterprise.

[0026] The carbon emission of a certain steel enterprise in January of each year during 2016-2023 is calculated by using the consumption data of various types of energy, carbon-containing materials, electricity and heat of the enterprise and the carbon emission coefficient, the carbon emission actually measured by the enterprise emission source, the historical carbon emission optimization factor is calculated, and the calculation results are shown in Table 1; Table 1: Carbon emission of a certain steel smelting enterprise in January of each year during 2016-2023 and historical carbon emission optimization factor According to the historical carbon emission optimization factor of the enterprise in January of each year during 2016-2023, the emission optimization factor prediction model is used to predict the carbon emission optimization factor of a certain steel smelting enterprise in January, 2024, and the carbon emission data in January, 2024 is predicted according to the carbon emission data actually measured by the enterprise, and the calculation results are shown in Table 2; Table 2: Carbon emission optimization data actually measured of a certain steel smelting enterprise in January, 2024 Example 2 The carbon emission of a certain copper smelting enterprise is predicted by using the same method as in Example 1; The carbon emission of a certain copper smelting enterprise in January of each year during 2016-2023 is calculated by using the method provided by the application, the carbon emission actually measured by the enterprise emission source, and the historical carbon emission optimization factor is calculated, and the calculation results are shown in Table 3; Table 3: Carbon emission of a certain copper smelting enterprise in January of each year during 2016-2023 and historical carbon emission optimization factor According to the historical carbon emission optimization factor of the enterprise in January of each year during 2016-2023, the emission optimization factor prediction model is used to predict the carbon emission optimization factor of the copper smelting enterprise in January, 2024, and the carbon emission data in January, 2024 is predicted according to the measured carbon emission data of the enterprise, and the calculation results are shown in Table 4; Table 4: Measured and optimized data of carbon emission of a certain copper smelting enterprise in January, 2024 Example 3 The same method as in Example 1 is used to predict the carbon emission of a certain aluminum smelting enterprise; According to the historical carbon emission optimization factor of the enterprise in January of each year during 2016-2023, the emission optimization factor prediction model is used to predict the carbon emission optimization factor of the copper smelting enterprise in January, 2024, and the carbon emission data in January, 2024 is predicted according to the measured carbon emission data of the enterprise, and the calculation results are shown in Table 4; Table 5: Carbon emission of a certain aluminum smelting enterprise in January of each year during 2016-2023 and historical carbon emission optimization factor According to the historical carbon emission optimization factor of the enterprise in January of each year during 2016-2023, the emission optimization factor prediction model is used to predict the carbon emission optimization factor of the copper smelting enterprise in January, 2024, and the carbon emission data in January, 2024 is predicted according to the measured carbon emission data of the enterprise, and the calculation results are shown in Table 4; Table 6: Measured and optimized data of carbon emission of a certain aluminum smelting enterprise in January, 2024 Although the embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and alterations can be made without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing carbon emission accounting for high-energy-consuming enterprises, characterized by: The following steps are involved: S1: Collect the consumption of various types of fuels, carbon-containing raw materials, electricity and heat of high-energy-consuming enterprises within the set carbon emission accounting period; S2: Obtain carbon emission coefficients for various fuels, carbon-containing raw materials, electricity, and heat, and calculate carbon emissions for high-energy-consuming enterprises; S3: Use the actual measurement method to obtain the total carbon emissions of high-energy-consuming enterprises; S4: Comprehensively construct historical carbon emission optimization factors based on S2 and S3; S5: Based on the historical carbon emission optimization factors, a carbon emission optimization factor model is constructed; S6: Calculate the optimized value of carbon emissions for high-energy-consuming enterprises based on the predicted value of the carbon emissions optimization factor and the total carbon emissions actually measured from the enterprise’s organized emission sources.

2. The optimized measurement method for carbon emission accounting of high-energy-consuming enterprises according to claim 1 is characterized by: The specific expression for calculating the carbon emissions of high-energy-consuming enterprises in S2 is as follows: in, is the total carbon emissions of high energy-consuming enterprises, The carbon emissions from fuel combustion in high energy-consuming enterprises are Carbon emissions from the consumption of carbon-containing raw materials by high-energy-consuming enterprises, It refers to the carbon emissions generated by high-energy-consuming enterprises due to net purchase of electricity and heat.

3. The optimized measurement method for carbon emission accounting of high-energy-consuming enterprises according to claim 2 is characterized by: Carbon emissions from fuel combustion in high energy-consuming enterprises The specific expression is as follows: in, The carbon emissions from fuel combustion in high energy-consuming enterprises are For the The lower calorific value of the fuel, is the consumption of the f-th fuel, For the The carbon content per unit calorific value of the fuel, Indicates the The carbon oxidation rate of the fuel, Indicates summation.

4. The optimized measurement method for carbon emission accounting of high-energy-consuming enterprises according to claim 2 is characterized by: Carbon emissions from the consumption of carbon-containing raw materials by high-energy-consuming enterprises The specific expression is as follows: in, The carbon emissions generated by high energy-consuming enterprises due to the consumption of carbon-containing raw materials, is the consumption of carbon-containing raw material j, Carbon-containing raw materials carbon emission coefficient.

5. The optimized measurement method for carbon emission accounting of high-energy-consuming enterprises according to claim 2 is characterized by: Carbon emissions from net purchase of electricity and heat by high energy-consuming enterprises The specific expression is as follows: in, The carbon emissions generated by high energy-consuming enterprises due to net purchase of electricity and heat, Net purchase of electricity and heat consumption for high energy-consuming enterprises, The average carbon emission coefficient of the net purchased electricity and heat of high-energy-consuming enterprises.

6. The optimized measurement method for carbon emission accounting of high-energy-consuming enterprises according to claim 2 is characterized by: The specific expression for obtaining the total carbon emissions of high-energy-consuming enterprises using the actual measurement method in S3 is as follows: in, It means the actual measurement method is used to obtain the total carbon emissions of high energy-consuming enterprises. represents the total number of carbon emission sources, High energy consuming enterprises The measured carbon emissions from each carbon emission source.

7. The optimized measurement method for carbon emission accounting of high-energy-consuming enterprises according to claim 6 is characterized by: The expression for the historical carbon emission optimization factor constructed based on S2 and S3 in S4 is as follows: in, is the total carbon emissions of high energy-consuming enterprises, It means the actual measurement method is used to obtain the total carbon emissions of high energy-consuming enterprises. represents the optimization factor of historical carbon emissions at the i-th moment, and i represents the i-th moment.

8. The optimized measurement method for carbon emission accounting of high-energy-consuming enterprises according to claim 1 is characterized by: In S5, based on the historical carbon emission optimization factor, the carbon emission optimization factor model expression is constructed as follows: in, is the predicted value of the carbon emission optimization factor, which is given by the historical carbon emission optimization factor value and error term at the previous i moments. is the regression coefficient, is the optimization factor of historical carbon emissions at time ti within the set time period, i is the i-th moment, t is the t-th moment, is the error term.

9. The optimized measurement method for carbon emission accounting of high-energy-consuming enterprises according to claim 1 is characterized by: In S6, based on the predicted value of the carbon emission optimization factor and the total carbon emissions actually measured by the enterprise's organized emission sources, the expression for calculating the optimized value of carbon emissions of high-energy-consuming enterprises is: in, Optimize carbon emissions for high-energy-consuming enterprises, It means the actual measurement method is used to obtain the total carbon emissions of high energy-consuming enterprises. is the predicted value of the carbon emission optimization factor at the tth moment, and t is the tth moment.

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