Park carbon emission intensity comprehensive evaluation method and system based on OWA operator

Abstract

The invention discloses a park carbon emission intensity comprehensive evaluation method based on an OWA operator. The method comprises the following steps: collecting carbon emission data of different energy sources inside and outside a park; total carbon emission is calculated based on the carbon emission data, and then the proportion of each energy type in the energy structure is calculated according to the total carbon emission; calculating an electricity-carbon neutralization index according to the cleanliness degree of the energy types and the proportion of each energy type in the energy structure; carrying out weighted fusion processing on the multi-source information by adopting an OWA operator to obtain an electricity-carbon economic index of the park; and evaluating the carbon emission intensity of the park by combining the ratio of the electricity-carbon neutralization index to the electricity-carbon economic index with the proportion of the clean energy in the total energy consumption, and providing a decision basis for carbon emission optimization. The method has the beneficial effects that the OWA operator is introduced, flexible weighting processing is performed on the multi-source carbon emission data, and the carbon emission level of the park can be accurately evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of low-carbon transformation of power systems, and in particular to a comprehensive evaluation method for carbon emission indicators of a park based on an OWA (Ordered Weighted Averaging) operator. Background Art

[0002] As the global climate change problem becomes increasingly serious, reducing greenhouse gas emissions, especially carbon dioxide emissions, has become the focus of attention of governments and industries. As an important source of energy consumption and carbon emissions, the carbon emission level of industrial parks directly affects the regional and national carbon reduction targets. Traditional carbon emission assessment methods mostly rely on emission data of a single energy source, ignoring different energy structures, multi-source carbon emission data and their interactions, and it is difficult to fully reflect the carbon emission characteristics of the park. At the same time, with the rapid development of clean energy, how to quantify and evaluate the cleanliness of different types of energy in the park, especially the carbon footprint tracking of external electricity, has become a new topic in carbon emission assessment.

[0003] In existing technologies, carbon emission assessments for industrial parks often focus on a single energy source or a simple weighted average approach, which cannot fully reflect the differences in carbon emissions between different energy types and their impact on regional economic activities. In addition, traditional methods rarely consider the impact of energy losses during energy transmission, the degree of energy cleanliness, and its dynamic changes on carbon emissions. Especially when faced with complex industrial park scenarios, traditional evaluation methods are insufficient and cannot provide accurate and dynamic carbon emission assessment results. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive evaluation method for carbon emission indicators of a park based on the OWA operator to address the limitations of existing carbon emission assessment methods that cannot effectively integrate multi-source data and different degrees of energy cleanliness. The method aims to provide decision support for carbon emission reduction optimization and clean energy substitution, which is specifically achieved by the following technical solutions:

[0005] The comprehensive evaluation method of the carbon emission intensity of a park based on the OWA operator includes:

[0006] Collect carbon emission data from different energy sources inside and outside the park;

[0007] Calculate the total carbon emissions based on the carbon emission data, and then calculate the proportion of each energy type in the energy structure based on the total carbon emissions; calculate the electricity carbon neutrality index by combining the degree of cleanliness of the energy type and the proportion of each energy type in the energy structure;

[0008] The OWA operator is used to perform weighted fusion processing on multi-source information to obtain the park's electricity-carbon economic index;

[0009] By using the ratio of the electricity carbon neutrality index to the electricity carbon economic index, combined with the proportion of clean energy in total energy consumption, the carbon emission intensity of the park is evaluated, providing a decision-making basis for carbon emission optimization.

[0010] The further design of the comprehensive evaluation method of the park carbon emission index based on the OWA operator is that the calculation process of the proportion of energy types in the energy structure is:

[0011] The total carbon emissions of the park are calculated according to formula (1):

[0012]

[0013] In formula (1), CF total is the total carbon emissions, L i is the load of the i-th energy source, EF i is the carbon emission factor corresponding to the energy source, λ is the carbon emission intensity adjustment coefficient, T i is the loss coefficient in the energy transmission process, η i is the cleanliness level of the i-th energy, and n is the total number of energy types;

[0014] According to formula (2), the carbon emission proportion CF of the i-th energy source is calculated as i :

[0015]

[0016] The further design of the comprehensive evaluation method of the park carbon emission index based on the OWA operator is to calculate the carbon neutrality index CNI according to formula (2):

[0017]

[0018] In formula (3), CNI is the carbon neutrality index, L i is the load of the i-th energy source, CF i is the proportion of carbon emissions from the i-th energy source, η i is the degree of cleanliness, W i is the weighting coefficient of the corresponding energy.

[0019] The further design of the comprehensive evaluation method of the park carbon emission index based on the OWA operator is to calculate the electricity carbon economic index according to formula (4):

[0020]

[0021] In formula (4), a (i) is the carbon emission data of the ith energy source sorted from largest to smallest, α i is the weight coefficient of the OWA operator, γ irepresents the economic contribution of the i-th energy source, and and Calculate the weight α according to formula (5): i ,

[0022]

[0023] In formula (5), p is a parameter that controls the risk preference of the decision maker. When p = 0.5, it indicates a neutral preference. When p > 0.5, it indicates a preference for high carbon emission values. When p < 0.5, it indicates a preference for low carbon emission values.

[0024] The further design of the comprehensive evaluation method of the park carbon emission index based on the OWA operator is to construct a comprehensive carbon emission index system CCI according to formula (6):

[0025]

[0026] In formula (6), P clean is the total power generation of clean energy, P total is the total power generation of the energy system, and κ is the promotion coefficient of economic activities to clean energy.

[0027] The present invention also provides a comprehensive evaluation system for the carbon emission intensity of a park based on the OWA operator, comprising: a collection module for collecting carbon emission data of different energy sources inside and outside the park;

[0028] An electricity carbon neutrality index calculation module calculates the total carbon emissions based on the carbon emission data, and then calculates the proportion of each energy type in the energy structure based on the total carbon emissions; and calculates the electricity carbon neutrality index by combining the degree of cleanliness of the energy type and the proportion of each energy type in the energy structure;

[0029] The electricity-carbon economic index calculation module uses the OWA operator to perform weighted fusion processing on multi-source information to obtain the electricity-carbon economic index of the park;

[0030] The carbon emission intensity assessment module quantifies the carbon emission intensity by the ratio of the electricity carbon neutrality index to the electricity carbon economic index, combined with the proportion of clean energy in total energy consumption.

[0031] The present invention also provides an electronic device, comprising a memory, a processor and a computer program, wherein the computer program is stored in the memory and is configured to be executed by the processor to implement the comprehensive assessment system for carbon emission intensity of a park based on the OWA operator.

[0032] The present invention also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the comprehensive evaluation method of carbon emission intensity of a park based on the OWA operator.

[0033] The advantages of the present invention are as follows:

[0034] The comprehensive evaluation method of carbon emission intensity of a park based on the OWA operator of the present invention can accurately evaluate the carbon emission level of the park by introducing the OWA operator to flexibly weight multi-source carbon emission data. The method takes into account the degree of clean energy, transmission loss and economic contribution, provides a scientific basis for the optimization of carbon emission reduction and clean energy substitution in the park, and enhances the accuracy of the evaluation and decision-making support. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Flowchart for weighting carbon emissions data.

[0036] Figure 2 A bar chart showing energy-normalized carbon emissions.

[0037] Figure 3 This is a bar chart of weighted carbon emissions. DETAILED DESCRIPTION

[0038] The technical solution of the present invention is described in detail below.

[0039] Embodiment 1

[0040] The comprehensive evaluation method of the carbon emission intensity of a park based on the OWA operator of this embodiment includes:

[0041] Collect carbon emission data from different energy sources inside and outside the park;

[0042] Based on the carbon emission data, the electricity carbon neutrality index is calculated by considering the cleanliness level of the energy type and the weight of the energy type in the energy structure;

[0043] The OWA operator is used to perform weighted fusion processing on multi-source information to obtain the park's electricity-carbon economic index;

[0044] By using the ratio of the electricity carbon neutrality index to the electricity carbon economic index, combined with the proportion of clean energy in total energy consumption, the carbon emission intensity of the park is evaluated, providing a decision-making basis for carbon emission optimization.

[0045] The carbon emissions of the park are calculated according to formula (1):

[0046]

[0047] In formula (1), CF total is the total carbon emissions of the region, L i is the load of the i-th energy source, EF i is the carbon emission factor corresponding to the energy source, λ is the carbon emission intensity adjustment coefficient, T i is the loss coefficient in the energy transmission process, ηi is the cleanliness level of the i-th energy, and n is the total number of energy types.

[0048] The carbon neutrality index CNI is calculated according to formula (2):

[0049]

[0050] The carbon neutrality index CNI is calculated according to formula (3):

[0051]

[0052] In formula (3), CNI is the carbon neutrality index, L i is the load of the i-th energy source, CF i is the proportion of carbon emissions from the i-th energy source, η i is the degree of cleanliness, W i is the weighting coefficient of the corresponding energy.

[0053] The electricity carbon economic index is calculated according to formula (4):

[0054]

[0055] In formula (4), a (i) is the carbon emission data of the ith energy source sorted from largest to smallest, α i is the weight coefficient of the OWA operator, γ i represents the economic contribution of the i-th energy source, and and Calculate the weight α according to formula (5): i ,

[0056]

[0057] In formula (5), p is a parameter that controls the risk preference of the decision maker. When p = 0.5, it indicates a neutral preference. When p > 0.5, it indicates a preference for high carbon emission values. When p < 0.5, it indicates a preference for low carbon emission values.

[0058] According to formula (6), the comprehensive carbon emission index system CCI is constructed.

[0059]

[0060] In formula (6), P clean is the total power generation of clean energy, P total is the total power generation of the energy system, and κ is the promotion coefficient of economic activities to clean energy.

[0061] The following combination Figure 1 Here is a specific example:

[0062] An industrial park uses a variety of energy sources, including fossil energy (coal, natural gas, fuel oil) and clean energy (solar energy, wind power). Part of the electricity comes from the external power grid. In order to evaluate the carbon emission level of the park, a comprehensive evaluation method of the park's carbon emission indicators based on the OWA (Ordered Weighted Averaging) operator is used.

[0063] Data collection and processing,The energy consumption data of the park are shown in Table 1.

[0064] Table 1 Energy consumption and carbon emission factors

[0065] Energy Type Consumption (MWh) <![CDATA[Carbon emission factor (tCO2 / MWh)]]> Cleanliness level (%) coal 6000 0.95 0 natural gas 3500 0.45 20 Wind power 1500 0 100 Solar 1000 0 100 External power 5000 0.6 50

[0066] Normalized carbon emission calculation: According to the carbon emission of each energy source, it is normalized and unified in dimension for comprehensive evaluation. The normalization formula is as follows:

[0067]

[0068] Among them, CF i is the carbon emission of the i-th energy source, CF max The maximum carbon emission.

[0069] Through calculation, the carbon emissions of each energy source are obtained, see Table 2. And after normalization:

[0070] Table 2: Normalized carbon emission index

[0071] Energy Type <![CDATA[Carbon emissions (tCO2)]]> Normalized Difference Carbon Emission Index coal 5700 1 natural gas 1575 0.276 Wind power 0 0 Solar 0 0 External power 3000 0.526

[0072] OWA weighted fusion: Use the OWA operator for weighted processing. Assuming the decision maker's preference parameter p = 0.7, the weight calculation formula is as follows:

[0073]

[0074] Among them, a (i) is the normalized carbon emission value sorted from large to small, α i is the weight, and the calculation results are as follows:

[0075] Table 3: Calculation results of weighted carbon emission index

[0076]

[0077] The total weighted comprehensive carbon emission index is:

[0078] CEI OWA =0.2401+0.2164+0.0851=0.5416

[0079] The results show that the park's comprehensive carbon emission index is 0.5416, indicating that under the condition of mixed use of clean energy and fossil energy, the overall carbon emission level is in a lower range.

[0080] like Figure 2 The energy-normalized carbon emissions bar chart shown in Figure 1 shows the carbon emissions share of each energy source. Figure 3 The OWA-weighted carbon emissions bar chart shown shows the carbon emissions results after weighting by the OWA operator, reflecting the relative contributions of different energy sources.

[0081] Embodiment 2

[0082] This embodiment provides a comprehensive evaluation system for carbon emission intensity of a park based on the OWA operator, including: a collection module for collecting carbon emission data of different energy sources inside and outside the park.

[0083] The electricity carbon neutrality index calculation module calculates the total carbon emissions based on the carbon emission data, and then calculates the proportion of each energy type in the energy structure based on the total carbon emissions; and calculates the electricity carbon neutrality index by combining the cleanliness level of the energy type and the proportion of each energy type in the energy structure.

[0084] The electricity-carbon economic index calculation module uses the OWA operator to perform weighted fusion processing on multi-source information to obtain the electricity-carbon economic index of the park.

[0085] The carbon emission intensity assessment module quantifies the carbon emission intensity by the ratio of the electricity carbon neutrality index to the electricity carbon economic index, combined with the proportion of clean energy in total energy consumption.

[0086] Embodiment 3

[0087] This embodiment provides an electronic device, including a memory, a processor, and a computer program, wherein the computer program is stored in the memory and is configured to be executed by the processor to implement a comprehensive evaluation system for carbon emission intensity of a park based on the OWA operator.

[0088] Embodiment 4

[0089] The present invention also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement a comprehensive evaluation method for carbon emission intensity of a park based on an OWA operator.

[0090] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A comprehensive evaluation method for carbon emission intensity of a park based on OWA operator, characterized in that: include: Collect carbon emission data from different energy sources inside and outside the park; Calculate the total carbon emissions based on the carbon emission data, and then calculate the proportion of each energy type in the energy structure based on the total carbon emissions; calculate the electricity carbon neutrality index by combining the degree of cleanliness of the energy type and the proportion of each energy type in the energy structure; The OWA operator is used to perform weighted fusion processing on multi-source information to obtain the park's electricity-carbon economic index; By using the ratio of the electricity carbon neutrality index to the electricity carbon economic index, combined with the proportion of clean energy in total energy consumption, the carbon emission intensity of the park is evaluated, providing a decision-making basis for carbon emission optimization.

2. The comprehensive evaluation method of carbon emission index of a park based on OWA operator according to claim 1 is characterized in that: The calculation process of the proportion of energy types in the energy structure is: The total carbon emissions of the park are calculated according to formula (1): In formula (1), CF total is the total carbon emissions, L i is the load of the i-th energy source, EF i is the carbon emission factor corresponding to the energy source, λ is the carbon emission intensity adjustment coefficient, T i is the loss coefficient in the energy transmission process, η i is the cleanliness level of the i-th energy, and n is the total number of energy types; According to formula (2), the carbon emission proportion CF of the i-th energy source is calculated as i :

3. The comprehensive evaluation method of carbon emission intensity of a park based on OWA operator according to claim 2 is characterized in that: The carbon neutrality index CNI is calculated according to formula (3): In formula (3), CNI is the carbon neutrality index, L i is the load of the i-th energy source, CF i is the proportion of carbon emissions from the i-th energy source, η i is the degree of cleanliness, W i is the weighting coefficient of the corresponding energy.

4. The comprehensive evaluation method of carbon emission intensity of a park based on OWA operator according to claim 3 is characterized in that: The electricity carbon economic index is calculated according to formula (4): In formula (4), a (i) is the carbon emission data of the ith energy source sorted from largest to smallest, α i is the weight coefficient of the OWA operator, γ i represents the economic contribution of the i-th energy source, and and Calculate the weight α according to formula (5): i , In formula (5), p is the parameter that controls the risk preference of the decision maker; when p = 0.5, it indicates a neutral preference; When p>0.5, high carbon emission values ​​are preferred; When p < 0.5, low carbon emission values ​​are preferred.

5. The comprehensive evaluation method of carbon emission intensity of a park based on OWA operator according to claim 4 is characterized in that: According to formula (6), the comprehensive carbon emission index system CCI is constructed. In formula (6), P clean is the total power generation of clean energy, P total is the total power generation of the energy system, and κ is the promotion coefficient of economic activities to clean energy.

6. A comprehensive evaluation system for carbon emission intensity of a park based on OWA operator, characterized by include: The collection module collects carbon emission data from different energy sources inside and outside the park; An electricity carbon neutrality index calculation module calculates the total carbon emissions based on the carbon emission data, and then calculates the proportion of each energy type in the energy structure based on the total carbon emissions; and calculates the electricity carbon neutrality index by combining the degree of cleanliness of the energy type and the proportion of each energy type in the energy structure; The electricity-carbon economic index calculation module uses the OWA operator to perform weighted fusion processing on multi-source information to obtain the electricity-carbon economic index of the park; The carbon emission intensity assessment module quantifies the carbon emission intensity by the ratio of the electricity carbon neutrality index to the electricity carbon economic index, combined with the proportion of clean energy in total energy consumption.

7. An electronic device, characterized in that: It comprises a memory, a processor and a computer program, wherein the computer program is stored in the memory and is configured to be executed by the processor to implement a comprehensive evaluation system for carbon emission intensity of a park based on the OWA operator as described in any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that The storage medium stores a computer program, and the computer program is executed by a processor to implement the comprehensive evaluation method for carbon emission intensity of a park based on the OWA operator as described in any one of claims 1 to 6.

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