A Comprehensive Evaluation Method for Carbon Emission Sources of Key Emission-Control Enterprises
By constructing the equipment observation matrix and correlation analysis, the problem of correlation between the source of carbon emissions in enterprises is solved, and the quantitative evaluation and optimization of the source of carbon emissions in enterprises is realized.
Patent Information
- Application Number
- CN202210999076.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-08-19
- Publication Date
- 2025-07-04
- Estimated Expiration
- 2042-08-19
AI Technical Summary
The prior art is difficult to effectively analyze and optimize the correlation between the carbon emission sources of equipment in industrial production, resulting in excessive subjectivity of corporate carbon emission evaluation.
By constructing the equipment observation matrix, the impact coefficient of carbon emission sources is calculated, and the correlation analysis is used to construct the correlation between carbon emission sources and conduct a comprehensive evaluation.
Quantitative evaluation of the source of carbon emissions in enterprises has been achieved, which reduces the subjectivity of the evaluation, improves the accuracy of the evaluation and simplicity of implementation.
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Figure CN115293630B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a comprehensive evaluation method for carbon emission sources of key emission control enterprises, belonging to the field of energy conservation and environmental protection. Background Art
[0002] The impact of human activities on carbon dioxide concentration mainly comes from three aspects: consumption of fossil fuels, deforestation and other land use changes, and cement industry production.
[0003] Among the carbon emission gases, the main gas is carbon dioxide. Therefore, the word "carbon" is used to represent the change in the air concentration of carbon dioxide. In industrial production, there are multiple carbon emission sources in equipment. Therefore, how to analyze the correlation between these carbon emission sources, obtain a comprehensive evaluation of the carbon emission sources of enterprises, and optimize the carbon emissions of equipment with this has become a difficult problem in research. Summary of the Invention
[0004] In view of the above deficiencies in the prior art, the present invention proposes a comprehensive evaluation method for carbon emission sources of key emission control enterprises, aiming to analyze the influence coefficients of carbon emission sources in the whole-process production and operation activities of key emission control enterprises, and then construct the connection between different carbon emission sources through correlation analysis, so as to effectively conduct a comprehensive evaluation of the carbon emission sources of key emission control enterprises.
[0005] In order to achieve the above object, the present invention adopts the following technical solutions:
[0006] The comprehensive evaluation method for carbon emission sources of key emission control enterprises of the present invention is characterized by including the following steps:
[0007] Step 1: For the n devices owned by the key emission control enterprise, observe the p carbon emission sources of each device in the whole-process production process of the key emission control enterprise, so as to obtain an equipment observation matrix related to the p carbon emission sources by using formula (1) :
[0008] (1)
[0009] In formula (1), is the observed value of the nth device and serves as the nth sample, is the observed value of the nth device for the pth carbon emission source;
[0010] Step 2: Calculate the influence coefficients of the p carbon emission sources by using formula (2):
[0011] (2)
[0012] In formula (2), , , , are the impact coefficients of the first carbon emission source, the second carbon emission source, ……, the p-th carbon emission source respectively, are the importance coefficients corresponding to the first device, ……, the n-th device respectively;
[0013] Step 3: Use correlation analysis to construct the correlation between carbon emission sources for comprehensive evaluation of the carbon emission sources of key emission control enterprises;
[0014] Step 3.1: Use Equation (3) to perform correlation analysis on p carbon emission sources to obtain the correlation coefficient between any i-th carbon emission source and j-th carbon emission source :
[0015] (3)
[0016] In Equation (3), represents the observed value of the i-th carbon emission source of the z-th device, represents the observed value of the j-th carbon emission source of the z-th device, , ;
[0017] Step 3.2: Use Equation (4) to obtain the comprehensive evaluation F of the carbon emission sources of the key emission control enterprise:
[0018] (4).
[0019] An electronic device of the present invention includes a memory and a processor, characterized in that the memory is used to store a program for supporting the processor to execute the carbon emission source comprehensive evaluation method, and the processor is configured to execute the program stored in the memory.
[0020] A computer-readable storage medium of the present invention stores a computer program on the computer-readable storage medium, characterized in that the computer program executes the steps of the carbon emission source comprehensive evaluation method when run by a processor.
[0021] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0022] By analyzing the impact coefficients of carbon emission sources of different devices, the present invention can effectively obtain the importance degrees of different carbon emission sources, and by analyzing the correlation between them, describe them using a correlation evaluation function, and finally obtain the comprehensive carbon emission evaluation of the enterprise. Using the data of enterprise equipment and the correlation, a new enterprise carbon emission evaluation method is proposed, which solves the problem of excessive subjectivity of traditional methods, is simple and practical, and is easy to implement. Description of the Drawings
[0023] Figure 1 It is a specific step flowchart of a comprehensive evaluation method for carbon emission sources of key emission control enterprises of the present invention. Detailed Implementation Manner
[0024] In this embodiment, a comprehensive evaluation method for carbon emission sources of key emission control enterprises, the specific process is as Figure 1 shown, and it includes the following steps:
[0025] Step 1: For the n = 9 devices owned by the key emission control enterprise, observe the 9 carbon emission sources of each device in the whole-process production process of the key emission control enterprise. The 9 carbon emission sources are respectively 1. Equipment temperature, 2. Excess air coefficient, 3. Air circulation ratio, 4. CO shift catalyst, 5. Heating agent (carbonate), 6. Load factor, 7. Equipment service life, 8. Power generation, 9. Fuel, so as to obtain the device observation matrix related to the 9 carbon emission sources by using formula (1) :
[0026] (1)
[0027] In formula (1), is the observed value of the 9th device and serves as the 9th sample, is the observed value of the 9th device for the carbon dioxide generated by the fuel;
[0028] Step 2: Calculate the influence coefficients of the 9 carbon emission sources by using formula (2). The influence coefficient represents the influence degree of the corresponding carbon emission source on the total carbon emissions of the enterprise:
[0029] (2)
[0030] In formula (2), , , , are respectively the influence coefficients of the first carbon emission source, the second carbon emission source,..., the 9th carbon emission source, are respectively the importance coefficients corresponding to the first device,..., the 9th device;
[0031] Step 3: Construct the correlation between carbon emission sources by using correlation analysis for comprehensive evaluation of the carbon emission sources of key emission control enterprises;
[0032] Step 3.1: Conduct correlation analysis on the 9 carbon emission sources by using formula (3) to obtain the correlation coefficient between any i-th carbon emission source and j-th carbon emission source :
[0033] (3)
[0034] In formula (3), represents the observed value of the \(i\)th carbon emission source of the \(z\)th device, represents the observed value of the \(j\)th carbon emission source of the \(z\)th device, , ;
[0035] Step 3.2: Use formula (4) to obtain the comprehensive evaluation \(F\) of the carbon emission sources of the key emission control enterprises:
[0036] (4)
[0037] In this embodiment, an electronic device includes a memory and a processor. The memory is used to store a program that supports the processor to execute the above method, and the processor is configured to execute the program stored in the memory.
[0038] In this embodiment, a computer-readable storage medium stores a computer program, and when the computer program is run by a processor, it executes the steps of the above method.
Claims
1. A comprehensive evaluation method for the carbon emission sources of key emission control enterprises, characterized in that, It includes the following steps: Step 1: For the n devices owned by key emission control enterprises, observe the p carbon emission sources of each device in the whole-process production process of the key emission control enterprises, so as to obtain the device observation matrix X related to the p carbon emission sources by using Equation (1): In formula (1), x n is the observed quantity of the nth device and serves as the nth sample, and x np is the observed quantity of the nth device for the pth carbon emission source; Step 2: Calculate the influence coefficients of the p carbon emission sources by using Equation (2): In formula (2), F1, F2, …, F p are respectively the influence coefficients of the first carbon emission source, the second carbon emission source, …, the p-th carbon emission source, and u 11 , …, u np are respectively the importance coefficients corresponding to the first device, …, the n-th device; Step 3: Use correlation analysis to construct the correlation between carbon emission sources for comprehensive evaluation of the carbon emission sources of key emission control enterprises; Step 3.1: Perform a correlation analysis on p carbon emission sources using Equation (3) to obtain the correlation coefficient ρ between any ith carbon emission source and jth carbon emission source (i,j) :[[]]END]] In formula (3), x zi represents the observed value of the i-th carbon emission source of the z-th device, and x zj represents the observed value of the j-th carbon emission source of the z-th device, where i ∈ [1, p] and j ∈ [1, p]; Step 3.2: Obtain the comprehensive evaluation F of the carbon emission sources of the key emission control enterprises by using Equation (4):
2. An electronic device, comprising a memory and a processor, characterized in that, The memory is used to store a program that supports the processor to execute the method described in Claim 1, and the processor is configured to execute the program stored in the memory.
3. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is run by the processor, it executes the steps of the method described in Claim 1.
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