Carbon emission reduction evaluation method and carbon emission reduction evaluation device

Abstract

The invention provides a carbon emission reduction evaluation method and a carbon emission reduction evaluation device, and the method comprises the steps: generating at least one emission reduction path for each evaluation region based on a preset emission reduction target total amount according to the unit parameters and carbon capture rates of a plurality of coal-fired power units; for each emission reduction path, generating an electric quantity consumption matrix and regional carbon emission information according to the regional electric quantity data of each evaluation region and the cross-regional electric quantity data among different evaluation regions; generating target carbon emission information and a target carbon emission factor of the evaluation region under the emission reduction path according to the power consumption matrix and the carbon emission information of the plurality of regions; the original carbon emission data, the target carbon emission information and the target carbon emission factor are analyzed, an emission reduction analysis result is obtained, the original carbon emission data comprise the original carbon emission information and the original carbon emission factor when the evaluation area is not subjected to emission reduction transformation, and the emission reduction analysis result represents the emission reduction effect of the evaluation area after emission reduction transformation.

Description

Technical Field

[0001] The present application relates to the field of carbon emission technology, and more specifically, to a carbon emission reduction assessment method, a carbon emission reduction assessment device, an electronic device, a computer-readable storage medium, and a computer program product. Background Art

[0002] As the core pillar of electricity supply, coal-fired power generation faces the dual pressures of ensuring power supply security while significantly reducing carbon emissions. Carbon capture, utilization, and storage (CCUS) technology is considered a key technological path to resolving the conflict between ensuring coal-fired power supply and reducing carbon emissions. Its large-scale deployment and optimized application are crucial for achieving a low-carbon transition in coal-fired power generation.

[0003] However, the emission reductions from carbon capture retrofits at coal-fired power plants are inherently interregional: Due to interregional power transmission, a significant amount of emission reductions from power generation are transferred through the power grid to power consumption in other regions. This interregional flow affects the accuracy of carbon reduction assessments, resulting in inaccurate carbon emissions estimates and a failure to provide reliable data support for power grid planning. Summary of the Invention

[0004] In view of this, the present application provides a carbon emission reduction assessment method, a carbon emission reduction assessment device, an electronic device, a computer-readable storage medium, and a computer program product.

[0005] One aspect of the present application provides a carbon emission reduction assessment method, comprising:

[0006] For each assessment area, based on a preset total emission reduction target, at least one emission reduction path is generated according to the unit parameters and carbon capture rates of multiple coal-fired power generation units, wherein the emission reduction path represents the order in which emission reduction modifications are implemented for some of the coal-fired power generation units, the unit parameters represent the coal consumption information used by the coal-fired power generation units, and the carbon capture rate represents the relationship between the amount of carbon emissions that can be captured and the amount of carbon emissions;

[0007] For each of the above emission reduction pathways, based on the regional electricity data of each assessment area and the cross-regional electricity data between different assessment areas, an electricity consumption matrix and regional carbon emission information are generated. The electricity consumption matrix represents the relationship between power generation and electricity consumption between different assessment areas, and the regional carbon emission information represents the carbon emission information from coal-fired power generation.

[0008] generating target carbon emission information and target carbon emission factors for the assessment area under the emission reduction path based on the electricity consumption matrix and the carbon emission information for the plurality of regions;

[0009] The original carbon emission data, the above-mentioned target carbon emission information and the above-mentioned target carbon emission factors are analyzed to obtain emission reduction analysis results, wherein the above-mentioned original carbon emission data include the original carbon emission information and original carbon emission factors when the above-mentioned assessment area has not undergone emission reduction transformation, and the above-mentioned emission reduction analysis results represent the emission reduction effect of the above-mentioned assessment area after the emission reduction transformation.

[0010] Another aspect of the present application provides a carbon emission reduction assessment device, comprising:

[0011] A first generation module is configured to generate, for each assessment area, at least one emission reduction path based on a preset total emission reduction target and according to unit parameters and carbon capture rates of a plurality of coal-fired power generation units, wherein the emission reduction path represents a sequence in which the plurality of coal-fired power generation units are to undergo emission reduction modifications, the unit parameters represent coal consumption information used by the coal-fired power generation units, and the carbon capture rate represents a relationship between the amount of carbon emissions that can be captured and the amount of carbon emissions;

[0012] A second generation module is configured to generate, for each of the above-mentioned emission reduction paths, an electricity consumption matrix and regional carbon emission information based on the regional electricity data of each of the above-mentioned assessment areas and the cross-regional electricity data between different assessment areas, wherein the electricity consumption matrix represents the relationship between power generation and electricity consumption between different assessment areas, and the regional carbon emission information represents the carbon emission information in coal-fired power generation;

[0013] A third generation module is configured to generate target carbon emission information and a target carbon emission factor for the assessment area under the emission reduction path based on the electricity consumption matrix and the carbon emission information of the plurality of regions;

[0014] The analysis module is used to analyze the original carbon emission data, the above-mentioned target carbon emission information and the above-mentioned target carbon emission factor to obtain the emission reduction analysis results, wherein the above-mentioned original carbon emission data includes the original carbon emission information and the original carbon emission factor when the above-mentioned assessment area has not undergone emission reduction transformation, and the above-mentioned emission reduction analysis results represent the emission reduction effect of the above-mentioned assessment area after the emission reduction transformation.

[0015] Another aspect of the present application provides an electronic device, comprising:

[0016] one or more processors;

[0017] a memory for storing one or more programs,

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement the method described above.

[0019] Another aspect of the present application provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the method described above when executed.

[0020] Another aspect of the present application provides a computer program product, which includes computer-executable instructions. When the instructions are executed, the instructions are used to implement the method described above.

[0021] According to an embodiment of the present application, an emission reduction path is planned based on the unit parameters and carbon capture rate of the coal-fired power generation unit, and based on the emission reduction path, an electricity consumption matrix and regional carbon emission information are generated according to the regional electricity data and the cross-regional electricity data between different assessment areas. Based on the electricity consumption matrix and the regional carbon emission information, target carbon emission information and target carbon emission factors of the assessment area under the emission reduction path are generated, and the original carbon emission data, target carbon emission information and target carbon emission factors are analyzed to obtain emission reduction analysis results. Since this embodiment takes into account the relationship between the power generation and electricity consumption flowing between different assessment areas, it can improve the analysis accuracy of carbon emissions in the assessment area, thereby providing more accurate carbon emission reduction information for the power grid system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other objects, features and advantages of the present application will become more apparent through the following description of the embodiments of the present application with reference to the accompanying drawings, in which:

[0023] Figure 1 An exemplary system architecture to which the carbon emission reduction assessment method according to an embodiment of the present application can be applied is shown;

[0024] Figure 2 A flow chart of a carbon emission reduction assessment method according to an embodiment of the present application is shown;

[0025] Figure 3 A flow chart showing the generation of the power consumption matrix and regional carbon emission information according to an embodiment of the present application is shown;

[0026] Figure 4A A schematic diagram of a source-sink flow pattern showing emission reduction effects under the grid-side solution S7 according to an embodiment of the present application is shown;

[0027] Figure 4B A schematic diagram of a source-sink flow pattern showing emission reduction effects under the grid-side solution S8 according to an embodiment of the present application is shown;

[0028] Figure 4C A schematic diagram of a source-sink flow pattern showing emission reduction effects under the grid-side solution S9 according to an embodiment of the present application is shown;

[0029] Figure 5 A block diagram showing a carbon emission reduction assessment device according to an embodiment of the present application; and

[0030] Figure 6 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0031] Hereinafter, embodiments of the present application will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present application. In the detailed description below, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present application. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present application.

[0032] The terms used herein are only for describing specific embodiments and are not intended to limit this application. The terms "comprise," "include," etc. used herein indicate the presence of the features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0033] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0034] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0035] Current research and methods pay insufficient attention to how the transformation of coal-fired power generation units specifically affects the carbon emission factors of regional power grids, especially the lack of consideration of the spatial redistribution mechanism of emission reduction effects under the conditions of cross-regional power transmission. Related technologies are often limited to evaluating the emission reduction potential of a single unit or a single region, without fully considering the dynamics of power grid dispatch and regional differences, and it is difficult to fully reflect the cross-regional flow of emission reduction effects. Therefore, there is an urgent need for a method to quantitatively calculate the emission reduction potential of coal-fired power units after carbon capture transformation, and to analyze the transmission path and impact of these emission reduction effects across provinces, so as to provide a scientific basis for formulating precise and differentiated regional emission reduction policies and low-carbon optimization of power systems.

[0036] In view of this, an embodiment of the present application provides a carbon emission reduction assessment method, a carbon emission reduction assessment device, an electronic device, a computer-readable storage medium and a computer program product. The method includes generating at least one emission reduction path for each assessment area based on a preset total emission reduction target and according to the unit parameters and carbon capture rate of multiple coal-fired power generation units, wherein the emission reduction path represents the order in which some coal-fired power generation units implement emission reduction transformation, and the unit parameters represent the coal consumption information used by the coal-fired power generation units; for each emission reduction path, generating an electricity consumption matrix based on the regional electricity data of each assessment area and the cross-regional electricity data between different assessment areas and regional carbon emission information, wherein the electricity consumption matrix represents the relationship between power generation and electricity consumption between different assessment areas, and the regional carbon emission information represents the carbon emission information in coal-fired power generation; based on the electricity consumption matrix and multiple regional carbon emission information, the target carbon emission information and target carbon emission factor of the assessment area under the emission reduction path are generated; the original carbon emission data, target carbon emission information and target carbon emission factor are analyzed to obtain the emission reduction analysis results, wherein the original carbon emission data include the original carbon emission information and original carbon emission factors when the assessment area has not undergone emission reduction transformation, and the emission reduction analysis results represent the emission reduction effect of the assessment area after the emission reduction transformation.

[0037] In the embodiments of this application, the collection, updating, analysis, processing, use, transmission, provision, disclosure, and storage of all data involved (including, but not limited to, user personal information) comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures have been taken to prevent unauthorized access to user personal information data and maintain the security of user personal information and network security.

[0038] Figure 1 FIG1 shows an exemplary system architecture 100 to which the carbon emission reduction assessment method according to an embodiment of the present application can be applied. It should be noted that, Figure 1 What is shown is merely an example of a system architecture to which the embodiments of the present application can be applied, to help those skilled in the art understand the technical content of the present application, but does not mean that the embodiments of the present application cannot be used in other devices, systems, environments or scenarios.

[0039] like Figure 1 As shown, the system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is used as a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired and / or wireless communication links, etc.

[0040] A user may use a first terminal device 101, a second terminal device 102, or a third terminal device 103 to interact with a server 105 via a network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, or the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, and / or social platform software (for example only).

[0041] The first terminal device 101 , the second terminal device 102 , and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0042] The server 105 may be a server that provides various services, such as a background management server (for example only) that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process received data such as user requests, and feed back processing results (e.g., web pages, information, or data obtained or generated based on user requests) to the terminal devices.

[0043] It should be noted that the carbon emission reduction assessment method provided in the embodiment of the present application can generally be executed by the server 105. Accordingly, the carbon emission reduction assessment device provided in the embodiment of the present application can generally be set in the server 105. The carbon emission reduction assessment method provided in the embodiment of the present application can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the carbon emission reduction assessment device provided in the embodiment of the present application can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Alternatively, the carbon emission reduction assessment method provided in the embodiment of the present application can also be executed by the first terminal device 101, the second terminal device 102, or the third terminal device 103, or by other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103. Accordingly, the carbon emission reduction assessment device provided in the embodiment of the present application can also be set in the first terminal device 101, the second terminal device 102 or the third terminal device 103, or in other terminal devices different from the first terminal device 101, the second terminal device 102 or the third terminal device 103.

[0044] It should be understood that Figure 1The number of terminal devices, networks and servers in the embodiment is merely illustrative. Any number of terminal devices, networks and servers may be provided as required.

[0045] Figure 2 A flow chart of a carbon emission reduction assessment method according to an embodiment of the present application is shown.

[0046] like Figure 2 As shown, the carbon emission reduction assessment method includes operations S201 to S204.

[0047] In operation S201, for each assessment area, based on a preset total emission reduction target, at least one emission reduction path is generated according to the unit parameters and carbon capture rates of multiple coal-fired power generation units. The emission reduction path represents the order in which emission reduction modifications are implemented for some coal-fired power generation units, the unit parameters represent the coal consumption information used by the coal-fired power generation units, and the carbon capture rate represents the relationship between the amount of carbon emissions that can be captured and the amount of carbon emissions.

[0048] In operation S202, for each emission reduction path, an electricity consumption matrix and regional carbon emission information are generated based on the regional electricity data of each assessment area and the cross-regional electricity data between different assessment areas. The electricity consumption matrix represents the relationship between power generation and electricity consumption between different assessment areas, and the regional carbon emission information represents carbon emission information from coal-fired power generation.

[0049] In operation S203 , target carbon emission information and a target carbon emission factor of the assessment area under the emission reduction path are generated based on the power consumption matrix and the carbon emission information of the plurality of areas;

[0050] In operation S204, the original carbon emission data, target carbon emission information and target carbon emission factor are analyzed to obtain emission reduction analysis results, wherein the original carbon emission data includes the original carbon emission information and original carbon emission factor when the assessment area has not undergone emission reduction transformation, and the emission reduction analysis results represent the emission reduction effect of the assessment area after the emission reduction transformation.

[0051] According to an embodiment of the present application, the assessment area can be divided by city or province, such as city AB. There is at least one coal-fired power plant in the assessment area to provide electricity for production and life in the assessment area. At the same time, the assessment area also transmits electricity to other areas through the power grid, for example, transmitting electricity to other cities and receiving electricity transmitted from other cities.

[0052] According to an embodiment of the present application, the preset total emission reduction target can be determined based on the baseline emissions of coal-fired power generation for the entire region, for example, 10%, 30%, or 50% of the baseline emissions of coal-fired power generation. The carbon capture rate, or CO2 capture rate, specifically represents the relationship between the amount of carbon emissions that can be captured and the total carbon emissions. Emission reduction retrofits can be achieved using Carbon Capture, Utilization, and Storage (CCUS) technology.

[0053] According to an embodiment of the present application, for the evaluation area, an emission reduction path is generated based on the unit parameters and carbon capture rates of multiple coal-fired power generation units in the evaluation area. For example, there are coal-fired power generation unit 1, coal-fired power generation unit 2, coal-fired power generation unit 3 and coal-fired power generation unit 4. The emission reduction path may refer to the order of performing carbon emission reduction transformation as coal-fired power generation unit 2, coal-fired power generation unit 1 and coal-fired power generation unit 3.

[0054] According to an embodiment of the present application, for each emission reduction path, based on the regional electricity data of the assessment area (such as power generation and power consumption) and the cross-regional electricity data between different assessment areas (such as the amount of electricity transmitted to other areas through the power grid or the amount of electricity received from other areas), the electricity consumption matrix and regional carbon emission information of the assessment area are generated. For example, the electricity consumption matrix shows the amount of electricity transmitted from the assessment area to other areas through the power grid, and the regional carbon emission information shows the estimated carbon emissions of the assessment area after the transformation of some coal-fired power generation units under the emission reduction path.

[0055] According to an embodiment of the present application, based on the regional carbon emission information of multiple assessment areas and combined with the electricity consumption matrix, the target carbon emission information and target carbon emission factor of the assessment area can be obtained, so that the target carbon emission information and target carbon emission factor are analyzed based on the original carbon emission data before the transformation to obtain the emission reduction analysis result. For example, the emission reduction analysis result shows how much carbon emissions of the assessment area can be reduced after the transformation.

[0056] According to an embodiment of the present application, an emission reduction path is planned based on the unit parameters and carbon capture rate of the coal-fired power generation unit, and based on the emission reduction path, an electricity consumption matrix and regional carbon emission information are generated according to the regional electricity data and the cross-regional electricity data between different assessment areas. Based on the electricity consumption matrix and the regional carbon emission information, target carbon emission information and target carbon emission factors of the assessment area under the emission reduction path are generated, and the original carbon emission data, target carbon emission information and target carbon emission factors are analyzed to obtain emission reduction analysis results. Since this embodiment takes into account the relationship between the power generation and electricity consumption flowing between different assessment areas, it can improve the analysis accuracy of carbon emissions in the assessment area, thereby providing more accurate carbon emission reduction information for the power grid system.

[0057] According to an embodiment of the present application, the unit parameters include fuel combustion parameters, installed capacity, and power plant utilization hour parameters of the coal-fired power generation unit.

[0058] According to an embodiment of the present application, based on a preset total emission reduction target, at least one emission reduction path is generated according to the unit parameters and carbon capture rates of multiple coal-fired power generation units, including: for each coal-fired power generation unit, generating the unit carbon emissions according to the fuel combustion parameters, installed capacity and power plant utilization hour parameters; generating the carbon emission reduction according to the unit carbon emissions and the carbon capture rate, wherein the carbon emission reduction represents the amount of carbon emission reduction of the coal-fired power generation unit when implementing emission reduction transformation; generating at least one emission reduction path according to the preset total emission reduction target and multiple carbon emission reductions.

[0059] According to the embodiment of the present application, for each coal-fired power generation unit, the unit carbon emissions are generated according to the fuel combustion parameters, installed capacity and power plant utilization hour parameters. , as shown in formula (1):

[0060]

[0061] (1)

[0062] in, The annual CO2 emissions of the uth unit (i.e., coal-fired power generation unit) under the i-th power plant in the assessment area; is the annual fuel (e.g. raw coal) consumption of the unit (tons); LHV is the lower heating value of the fuel, for example, the lower heating value of raw coal is 20.91 MJ / kg; is the carbon content coefficient, for example, the carbon content of raw coal is about 26.59 kgC / GJ; is the fuel carbon oxidation rate, which is approximately 0.92; is the molar mass ratio of carbon converted to CO2; is the installed capacity of unit u in the i-th power plant; represents the power plant utilization hour parameter of the i-th power plant; is the standard coal consumption per kilowatt-hour of electricity generated; is the conversion factor from raw coal to standard coal, which can be 0.714 tons of coal equivalent (tce) / T. Fuel combustion parameters include the above-mentioned fuel lower calorific value, carbon content coefficient, fuel carbon oxidation rate, molar mass ratio, etc.

[0063] According to the embodiment of the present application, the carbon capture rate can be obtained by averaging the capture rates of existing coal-fired power plant carbon capture demonstration experiments, which can be represented by Q, thereby generating carbon emission reduction according to the unit carbon emissions and carbon capture rate Q. , as shown in formula (2):

[0064] (2)

[0065] According to the embodiment of this application, the carbon emission reduction It can represent the CO2 emission reduction potential of coal-fired power plants when carbon capture is implemented.

[0066] According to the embodiment of the present application, based on the carbon emission reduction of each coal-fired power generation unit Multiple coal-fired power generation units can be retrofitted and planned to obtain at least one emission reduction path.

[0067] According to an embodiment of the present application, the emission reduction path includes a first emission reduction path, a second emission reduction path, and a third emission reduction path.

[0068] According to an embodiment of the present application, at least one emission reduction path is generated based on a preset total emission reduction target and multiple carbon emission reduction amounts, including:

[0069] For each coal-fired power generation unit, generating unit score information based on the unit attributes of the coal-fired power generation unit, wherein the unit attributes include unit size information, unit efficiency information and unit life information;

[0070] Sorting the scoring information of the plurality of generating units to obtain a first emission reduction path, wherein the first emission reduction path includes the sorted plurality of first generating units, wherein the first generating units are units after emission reduction modification of some coal-fired generating units;

[0071] Generating a second emission reduction path based on the scoring information of the multiple units and the regional power generation information, wherein the regional power generation information includes the installed capacity and power generation proportion of the assessment area, and the second emission reduction path includes the sorted multiple second power generation units, wherein the second power generation units are units that have undergone emission reduction modifications on some coal-fired power generation units;

[0072] A third emission reduction path is generated based on multiple unit scoring information, regional power generation information and power consumption information, wherein the power consumption information represents the power transmission information between the evaluation area and other areas, and the third emission reduction path includes multiple sorted third power generation units, wherein the third power generation units are units that have undergone emission reduction modifications on some coal-fired power generation units.

[0073] According to an embodiment of the present application, the baseline solution is as follows: multiple coal-fired power generation units are prioritized based on unit score information regarding the unit attributes of the coal-fired power generation units, and the units with the greatest value for modification are selected and retrofitted with carbon capture in sequence until the preset total emission reduction target is met. This solution emphasizes maximizing the emission reduction effect of the coal-fired power generation units themselves, without considering regional power supply and demand factors. For example, after the carbon emission reduction of four coal-fired power generation units is ranked by size, only the first three coal-fired power generation units need to be retrofitted to meet the preset total emission reduction target. In this case, the first three coal-fired power generation units (i.e., the first power generation unit) can be used as the first emission reduction path.

[0074] According to an embodiment of the present application, the production-side solution prioritizes units by comprehensively considering unit scoring information regarding the unit attributes of coal-fired power generation units and regional power production factors (i.e., regional power generation information). This prioritizes the transformation of units that contribute most to production-side emissions reductions. For example, production scoring information for each coal-fired power generation unit is generated based on the unit scoring information and regional power generation information. The multiple production scoring information is then ranked, and the top n second-tier coal-fired power generation units from the ranked m coal-fired power generation units are selected as the second emission reduction path.

[0075] According to an embodiment of this application, the grid-side solution comprehensively considers unit scoring information regarding the unit attributes of coal-fired power generation units, as well as regional power production and consumption factors, to rank and select units. This involves further incorporating power consumption characteristics (i.e., power consumption information) into the production-side solution, prioritizing the retrofit of units that contribute significantly to carbon emissions in the flow of power between different assessment regions (i.e., third-party generators), thereby addressing emission reduction needs on both the power generation and consumption sides.

[0076] The embodiments of this application combine unit attributes with power supply and demand factors (i.e., production-side and consumption-side factors), comprehensively considering unit selection strategies from different perspectives, including baseline, production, and grid perspectives. By comparing the results under different emission reduction paths, it is possible to balance emission reduction effectiveness with regional fairness and flexibly formulate retrofit plans.

[0077] According to an embodiment of the present application, an electricity consumption matrix and regional carbon emission information are generated based on the regional electricity data of each assessment area and the cross-regional electricity data between different assessment areas, including: generating power inflow and outflow information based on the regional electricity data and the cross-regional electricity data, wherein the power inflow and outflow information represents the relationship between the power generation of the assessment area and the power inflow of the input electricity from other areas to the assessment area and the power consumption of the assessment area and the power outflow of the output electricity from the assessment area to other areas; generating an electricity consumption matrix and regional carbon emission information based on the power inflow and outflow information and the cross-regional electricity data.

[0078] According to the embodiment of the present application, the power grid is regarded as a complex network composed of various assessment areas as nodes. The power generation, power consumption and inter-regional power transmission and reception data of each assessment area are collected. First, according to the principle of conservation of energy, for each node, "total inflow = total outflow" is satisfied. Among them, the total inflow includes the power generation of this area and the input power of other areas, the total outflow includes the power consumed by this area and transmitted to other areas, the regional power data includes power generation and power consumption, and the cross-regional power data includes the inter-regional power transmission and reception data. Therefore, the power inflow and outflow information can be calculated by formula (3) :

[0079] (3)

[0080] in, Represents the total amount of electricity flowing into or out of the i-th assessment area, is the power generation, For electricity consumption, cross-regional electricity data represents the total amount of power transferred from the i-th evaluation area to the j-th evaluation area.

[0081] According to an embodiment of the present application, an electricity consumption matrix and regional carbon emission information are generated based on electricity inflow and outflow information and cross-regional electricity data.

[0082] Figure 3 A flow chart for generating an electricity consumption matrix and regional carbon emission information according to an embodiment of the present application is shown.

[0083] like Figure 3 As shown, based on the power inflow and outflow information and cross-regional power data, the power consumption matrix and regional carbon emission information are generated, including operations S301 to S304:

[0084] In operation S301, a power outflow matrix is ​​generated based on power inflow and outflow information and cross-regional power data, wherein the elements in the power outflow matrix represent the proportion of power inflow from the assessment area to other areas relative to the power inflow in other areas;

[0085] In operation S302, the power outflow matrix is ​​processed using an input-output model to obtain an outflow coefficient matrix, wherein the outflow coefficient matrix represents the amount of power delivered from the assessment area to the power grid;

[0086] In operation S303 , an electricity consumption matrix is ​​generated according to the outflow coefficient matrix, the electricity consumption of the evaluation area, and the electricity inflow;

[0087] In operation S304 , regional carbon emission information is generated based on fuel carbon emission data generated by combustion of different fuels corresponding to power generation and carbon emission reduction of the modified coal-fired power generation units.

[0088] According to the embodiment of the present application, the cross-regional electricity data between the evaluation areas Form an n×n transmission matrix T. Based on the direct transmission relationship, a power outflow matrix B is constructed to represent the proportion of power generation in each assessment area directly allocated to each destination (including the current assessment area). The power outflow matrix B is shown in formula (4):

[0089] (4)

[0090] Among them, the elements in the power outflow matrix B are Indicates the power inflow and outflow information of the i-th evaluation area The proportion of electricity transmitted to the jth evaluation area (i.e. other areas), Express Perform diagonalization.

[0091] According to the embodiment of the present application, the indirect multi-order transmission impact is considered, and the idea of ​​the Leontief input-output model is used to calculate the total outflow coefficient matrix. That is, based on the power outflow matrix B, a comprehensive transmission matrix that includes the impact of all high-order transmission paths is obtained through matrix operations. This matrix reflects the direct and indirect relationship between the power flow between any two evaluation areas and can more comprehensively describe the power transmission pattern in a complex power grid. Among them, the outflow coefficient matrix G is shown in formula (5):

[0092] (5)

[0093] Among them, the elements is the total amount of electricity flowing into the jth assessment area. I represents the amount of inter-regional power transfer, and the inter-provincial power transfer through the power grid of an assessment area is represented by B 1 Indicates that the inter-provincial power transfer through the two assessment area power grids is 2 The term represents, where B represents the power outflow matrix.

[0094] According to an embodiment of the present application, the power generation and consumption in the power grids of different assessment areas are linked, that is, based on the outflow coefficient matrix, the power consumption (c) of the assessment area, and the power inflow, the power consumption matrix H shown in formula (6) is generated:

[0095] (6)

[0096] in, and Respectively represent the power consumption (i.e. power consumption) and total power x (i.e. power inflow and outflow information ) is diagonalized. The elements represents the amount of electricity generated in the i-th evaluation area and consumed in the j-th evaluation area through all possible inter-grid transmission paths listed in formula (5).

[0097] According to the embodiment of the present application, regional carbon emission information is generated based on the fuel carbon emission data generated by the combustion of different fuels corresponding to the power generation and the carbon emission reduction of the modified coal-fired power generation unit. , as shown in formula (7):

[0098] (7)

[0099] in, is the CO2 emission coefficient generated by the unit consumption of k types of fuel (for example, burning 1 ton of standard coal produces about 2.67 tons of CO2, etc., and the CO2 emission coefficient of different fuels is different), is the consumption of k types of fuel used for power generation in the i-th assessment area. Carbon emission reductions of multiple coal-fired power generation units converted for the i-th assessment area sum.

[0100] According to an embodiment of the present application, target carbon emission information and target carbon emission factors of the evaluation area under the emission reduction path are generated based on the electricity consumption matrix and the carbon emission information of multiple regions, including: generating an emission flow matrix based on the carbon emission information of multiple evaluation areas and the electricity consumption matrix; aggregating multiple elements in the emission flow matrix to obtain target carbon emission information; generating a target carbon emission factor based on the target carbon emission information and the electricity consumption of the evaluation area.

[0101] According to an embodiment of the present application, an emission flow matrix is ​​generated based on the carbon emission information and electricity consumption matrix of multiple assessment areas. Summarize multiple elements in the emission flow matrix by column to obtain target carbon emission information , as shown in formula (8):

[0102] (8)

[0103] Among them, target carbon emission information It reflects the amount of carbon emissions ultimately borne by the jth assessment region after taking into account inter-regional power transmission.

[0104] According to an embodiment of the present application, a target carbon emission factor is generated based on the target carbon emission information and the power consumption (c) of the assessment area, as shown in formula (9):

[0105] (9)

[0106] in, is the total electricity consumption of the jth evaluation area, that is, the power consumption , is the target carbon emission factor for the jth assessment area.

[0107] According to an embodiment of the present application, an emission flow matrix is ​​generated based on the carbon emission information of multiple regions and the electricity consumption matrix of multiple assessment areas, including: generating a diagonal matrix based on the carbon emission information of multiple regions in the multiple assessment areas; generating an emission flow matrix based on the electricity consumption matrix and the diagonal matrix.

[0108] According to the embodiment of the present application, the power generation emissions of each assessment area are allocated to the power consumption of each assessment area through the power outflow matrix B. Using the regional carbon emission information of each assessment area Construct a diagonal matrix E, according to the power consumption matrix and the diagonal matrix E, generating the emission flow matrix , as shown in formula (10):

[0109] (10)

[0110] Among them, the emission flow matrix Elements It indicates how much of the CO2 generated by power generation in the i-th evaluation area is allocated to the electricity consumption in the j-th evaluation area.

[0111] According to the embodiments of this application, the impact of inter-regional power transmission on carbon emissions is incorporated into the calculation through equations (3) to (10), which can more comprehensively and accurately reflect the actual carbon emission intensity corresponding to electricity consumption in each assessment area. By depicting the actual flow of electricity along different paths, both direct and indirect transmission impacts are included, thereby improving the accuracy of the target carbon emission factor calculation.

[0112] According to an embodiment of the present application, the original carbon emission data, target carbon emission information and target carbon emission factors are analyzed to obtain emission reduction analysis results, including: generating carbon emission change information based on the original carbon emission information and the target carbon emission information; generating factor change information based on the original carbon emission factor and the target carbon emission factor; generating emission reduction analysis results based on the carbon emission change information and the factor change information.

[0113] According to an embodiment of the present application, for each assessment area, by comparing the changes in the carbon emission factor and the changes in the carbon emission data of the assessment area under the emission reduction scenario (i.e., transformation according to the emission reduction path) and without emission reduction transformation, the emission reduction effect obtained by the assessment area under the emission reduction path can be evaluated.

[0114] According to an embodiment of the present application, specifically, first, carbon emission change information is generated based on the original carbon emission information and the target carbon emission information. Then, factor change information is generated based on the original carbon emission factor and the target carbon emission factor. Finally, the carbon emission change information and the factor change information are weighted and summed to obtain an emission reduction analysis result. This emission reduction analysis result shows the emission reduction effect of the assessment area after the emission reduction transformation.

[0115] It should be noted that the calculation method of raw carbon emission data is similar to the calculation of target carbon emission information and target carbon emission factor. The only difference is that the formula (7) in the calculation of raw carbon emission data is is zero.

[0116] According to an embodiment of the present application, the carbon emission reduction assessment method further includes: performing comparative analysis on multiple emission reduction analysis results in different assessment areas to obtain regional analysis results, wherein the regional analysis results characterize the transfer of emission reduction effects between different assessment areas.

[0117] According to the embodiments of this application, by comparing the emission reductions output and input of each assessment region, the transfer pattern of emission reduction effects between assessment regions can be clarified. If an assessment region outputs more emission reductions than it inputs, it means that the assessment region, acting as a "source," has exported a net emission reduction effect; conversely, the assessment region, acting as a "sink," has received an external emission reduction effect. Based on the regional analysis results of source-sink relationships, the flow pattern and spatial distribution characteristics of emission reduction effects between different assessment regions can be revealed.

[0118] According to the embodiments of this application, the source-sink regional analysis model helps clarify the contribution and benefit relationship of each assessment region in emission reduction, promoting emission reduction coordination among assessment regions. In one embodiment, it was shown that the grid-side path (i.e., the third emission reduction path) can more effectively reduce the overall carbon emission factor under various preset emission reduction targets, promote the sharing of emission reduction effects on a larger scale, and improve emission reduction efficiency across multiple assessment regions.

[0119] Figure 4A A schematic diagram of a source-sink flow pattern showing emission reduction effects under the grid-side solution S7 according to an embodiment of the present application is shown. Figure 4B A schematic diagram of a source-sink flow pattern showing emission reduction effects under the grid-side solution S8 according to an embodiment of the present application is shown. Figure 4C A schematic diagram of a source-sink flow pattern showing emission reduction effects under the grid-side solution S9 according to an embodiment of the present application is shown.

[0120] Figure 4 (including Figure 4A 、 Figure 4B 、 Figure 4C) uses lines to represent the transfer paths of emission reduction effects between different assessment regions: the left side represents the assessment region with emission reduction effects (sources), and the right side represents the assessment region with emission reduction effects (sinks). The thickness of the lines and the numerical values ​​following the letters represent the amount of carbon emission reduction transferred. Different letters in Figure 4 represent different assessment regions. Figure 4 illustrates the pattern of emission reduction effects flowing from assessment regions with concentrated coal-fired power generation capacity to assessment regions with high electricity demand centers under a typical emission reduction pathway (e.g., a grid-side scenario). Figure 4 helps users identify contributors and beneficiaries of emission reductions, providing a reference for equitable sharing of emission reductions across regions.

[0121] In a specific embodiment, under three preset emission reduction target totals (10%, 30%, and 50%), three emission reduction path selection schemes are respectively adopted on the baseline side, the production side, and the grid side to form nine emission reduction paths S1 to S9, as shown in Table 1. The carbon emission reduction assessment method of this embodiment is used for calculation and analysis.

[0122] Table 1

[0123] Preset total emission reduction target Baseline side solution Production side solution Grid-side solution Low (10%) emission reduction target S1 S4 S7 Medium (30%) emission reduction target S2 S5 S8 High (50%) emission reduction target S3 S6 S9

[0124] The total base-year CO2 emissions from coal-fired power generation in a target region (including multiple assessment regions) are estimated to be approximately 3.88 billion tons. Three emission reduction targets are set: 10% (low), 30% (medium), and 50% (high), representing the preset total emission reduction targets. To achieve these targets, unit selection is conducted using the aforementioned baseline, production, and grid-side scenarios. Within each scenario, 1,266 coal-fired units (i.e., coal-fired power generation units) are assessed for suitability based on a predetermined evaluation index system (as previously mentioned, the baseline scenario considers only the unit's own factors, the production scenario incorporates provincial power generation factors, and the grid scenario further considers provincial power transmission and consumption factors). Units are then ranked from highest to lowest based on their scores, and selected for carbon capture retrofitting until the cumulative emission reductions meet the target values. This approach determines the set of retrofitted units for each target.

[0125] Based on the collected parameter data of 1,266 units, the emission factor (IPCC) method was used to calculate the baseline emissions (i.e., original carbon emission data) and emission reduction potential (i.e., carbon emission reduction) of each unit. The specific calculation process is calculated according to formula (1) and formula (2). For example, assuming that the annual coal consumption of a coal-fired unit is 1 million tons, then according to LHV = 20.91 MJ / kg, carbon content 26.59 kg / GJ, and oxidation rate 0.92, the annual CO2 emissions of the unit are approximately 100×10^6 kg × 20.91 MJ / kg × (1 GJ / 10^3 MJ) × 26.59 kgC / GJ × 0.92 × (44 / 12) ≈ 1.88×10^8 kg, or 1.88 million tons of CO2. If CCUS modification is implemented and the capture rate is 90%, the annual emission reduction potential of the unit is approximately 1.69 million tons of CO2. Through similar calculations, the emission reduction potential (i.e. carbon emission reduction) of each unit can be obtained.

[0126] In this example, the total emission reduction potential of all units is aggregated, and the total emission reduction potential of coal-fired power plant carbon capture retrofits in the target region is approximately 2.565 billion tons of CO2. This shows that there is significant room for emission reductions through CCUS retrofits of coal-fired power plants within the target region. At the same time, the emission reduction potential is unevenly distributed across the assessment regions: some coal-fired power bases (such as remote areas) contribute over 50% of the target region's emission reduction potential due to their large installed capacity and high emission intensity. In contrast, coastal economically developed regions, due to their relatively small coal-fired power capacity, contribute a significantly lower share of potential. This geographical heterogeneity suggests that remote areas should be targeted for carbon capture retrofits to maximize carbon reduction effects.

[0127] Under each emission reduction path, the power generation emission data of the relevant assessment area is adjusted based on the list of modified units selected by the emission reduction path: the emissions of the modified units are counted as 90% emission reduction, and the emissions of the unmodified units are kept at the original emission level. Then, the new power generation emission data of the assessment area is substituted into formulas (3) to (10) to calculate the power carbon emission factor (i.e., the target carbon emission factor). The target carbon emission information of each assessment area under each emission reduction path is obtained by calculation. and target carbon emission factors The results show that, under the baseline scenario without any retrofits, carbon emission factors varied significantly across the different assessment regions: regions with high coal-fired power output and low internal consumption within the assessment region ("power export regions") had lower consumption-side emission factors, while regions that primarily rely on power transferred from other assessment regions ("power receiving regions") had higher emission factors due to the implicit inclusion of coal-fired power emissions from other assessment regions in their consumption. After implementing carbon capture retrofits, emission factors across all assessment regions decreased overall, but the extent of the decrease and the distribution of benefits varied across different emission reduction pathways.

[0128] Compare the carbon emission information and changes in carbon emission factors of each assessment area under the baseline scenario and the emission reduction scenario, and evaluate the transfer of emission reduction effects, that is, the regional analysis results.

[0129] In this example, the analysis is based on a scenario with a low emission reduction target (10% emission reduction):

[0130] Under the baseline S1 pathway, emissions reductions primarily occurred in resource-based assessment areas (because these high-emission units were retrofitted first). These source assessment areas experienced significant reductions in their own emission factors, but because they exported significant amounts of electricity, much of the emission reduction benefit was transmitted out of these assessment areas. Economically developed assessment areas, which received this low-carbon electricity, saw reduced carbon emissions and lower carbon emission factors. Overall, the S1 scenario resulted in a one-way transmission of emission reduction benefits from resource-based assessment areas to economically developed assessment areas.

[0131] Under production-side path S4, due to a certain degree of regional balance in unit selection, some assessment areas with strong coal-fired power plants were included in the renovation scope, moderately alleviating the excessive concentration of emission reduction benefits in a few output assessment areas. The flow of emission reduction benefits between sources and sinks was relatively dispersed, with assessment areas in different regions each receiving some benefits.

[0132] See also Figure 4A Under the grid-side S7 scenario, priority was given to retrofitting units with significant impacts on interregional power transmission, allowing emission reductions to be more effectively propagated along the existing power flow network. The results showed that resource-rich power generation output assessment regions, by exporting low-carbon electricity, transferred a significant portion of emission reduction benefits to higher-load assessment regions. At the same time, they also retained a certain amount of emission reduction benefits themselves, avoiding excessive spillover of their own emission reduction contributions. Under the S7 scenario, the reduction in carbon emission factors across the assessment regions was relatively balanced, achieving widespread sharing of emission reduction benefits within the target region.

[0133] In this example, the analysis is based on a scenario with a high emission reduction target (50% emission reduction):

[0134] The baseline path S3 achieved the maximum total emission reduction due to the centralized transformation of high-emission units, but the emission reduction effect was still mainly exported from remote areas to coastal areas. The economically developed assessment areas that received electricity obtained a large amount of emission reduction benefits, while the assessment areas in remote areas exported emission reduction results.

[0135] Under the high target, the transformation efforts of production-side path S6 were intensified, and the emission reduction contribution of the central assessment area increased, which slightly reduced the benefits of the eastern assessment area. However, the overall pattern is still dominated by source-to-sink transport.

[0136] Reference Figure 4C, the grid-side path S9 shows the best flow of emission reduction effects: by optimizing the grid layout, this path not only achieves the expected emission reduction targets, but also makes the emission reduction effects flow over a wider range. A large amount of carbon emission reductions are transmitted from the resource-rich western assessment area with a large power transmission scale to the assessment area with a large load in the central and eastern regions, and the emission intensity of each assessment area has dropped significantly. The S9 scenario shows an outstanding effect on reducing the overall grid carbon emission factor under all emission reduction targets. As the emission reduction targets increase, this advantage becomes more obvious. This is because the grid-side solution fully integrates and utilizes the emission reduction resources within the target area to maximize the emission reduction efficiency.

[0137] Based on the analysis method similar to that of the grid side path S9, refer to Figure 4B It can be seen that this path not only achieves the expected emission reduction target, but also enables the emission reduction effect to flow over a wider range.

[0138] The above analysis demonstrates that the calculation results of this example confirm the effectiveness of the carbon emission reduction assessment method used in this example: CCUS retrofits for coal-fired power plants in the target region have significant emission reduction potential and significant regional variation; inter-regional power trading can transfer a significant proportion of the emission reduction effect, forming a source-sink flow pattern; and the spatial distribution of emission reduction effects varies under different retrofit paths, with the grid-side path contributing to optimal distribution of emission reduction effects and maximizing the reduction of carbon emission factors across provinces. This information has direct guiding significance for developing coordinated regional emission reduction strategies, demonstrating that the carbon emission reduction assessment method used in this example can provide quantitative support for grid planning in practical applications.

[0139] Figure 5 A block diagram of a carbon emission reduction assessment device according to an embodiment of the present application is shown.

[0140] like Figure 5 As shown, the carbon emission reduction assessment device 500 includes a first generation module 510 , a second generation module 520 , a third generation module 530 , and an analysis module 540 .

[0141] The first generation module 510 is used to generate at least one emission reduction path for each assessment area based on a preset total emission reduction target and according to the unit parameters and carbon capture rates of multiple coal-fired power generation units, wherein the emission reduction path represents the order in which the multiple coal-fired power generation units implement emission reduction modifications, the unit parameters represent the coal consumption information used by the coal-fired power generation units, and the carbon capture rate represents the relationship between the captureable carbon emissions and the carbon emissions.

[0142] The second generation module 520 is used to generate an electricity consumption matrix and regional carbon emission information for each emission reduction path based on the regional electricity data of each assessment area and the cross-regional electricity data between different assessment areas, wherein the electricity consumption matrix represents the relationship between power generation and electricity consumption between different assessment areas, and the regional carbon emission information represents the carbon emission information in coal-fired power generation.

[0143] The third generating module 530 is used to generate target carbon emission information and target carbon emission factors of the evaluation area under the emission reduction path according to the power consumption matrix and the carbon emission information of multiple regions.

[0144] The analysis module 540 is used to analyze the original carbon emission data, target carbon emission information and target carbon emission factors to obtain emission reduction analysis results, wherein the original carbon emission data includes the original carbon emission information and original carbon emission factors when the assessment area has not undergone emission reduction transformation, and the emission reduction analysis results represent the emission reduction effect of the assessment area after the emission reduction transformation.

[0145] According to an embodiment of the present application, an emission reduction path is planned based on the unit parameters and carbon capture rate of the coal-fired power generation unit, and based on the emission reduction path, an electricity consumption matrix and regional carbon emission information are generated according to the regional electricity data and the cross-regional electricity data between different assessment areas. Based on the electricity consumption matrix and the regional carbon emission information, target carbon emission information and target carbon emission factors of the assessment area under the emission reduction path are generated, and the original carbon emission data, target carbon emission information and target carbon emission factors are analyzed to obtain emission reduction analysis results. Since this embodiment takes into account the relationship between the power generation and electricity consumption flowing between different assessment areas, it can improve the analysis accuracy of carbon emissions in the assessment area, thereby providing more accurate carbon emission reduction information for the power grid system.

[0146] According to the embodiments of the present application, any number of modules, submodules, units, and subunits, or at least part of the functions of any number of them, can be implemented in one module. According to the embodiments of the present application, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present application, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging the circuit, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, according to the embodiments of the present application, one or more of the modules, submodules, units, and subunits can be at least partially implemented as a computer program module, which can perform the corresponding functions when the computer program module is executed.

[0147] It should be noted that the carbon emission reduction assessment device part in the embodiments of the present application corresponds to the carbon emission reduction assessment method part in the embodiments of the present application. The description of the carbon emission reduction assessment device part specifically refers to the carbon emission reduction assessment method part and will not be repeated here.

[0148] Figure 6 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present application is shown. Figure 6 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0149] like Figure 6 As shown, an electronic device 600 according to an embodiment of the present application includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage unit 608 into a random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to the embodiment of the present application.

[0150] Various programs and data required for the operation of the electronic device 600 are stored in the RAM 603. The processor 601, ROM 602, and RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flow according to the embodiment of the present application by executing the programs in the ROM 602 and / or RAM 603. It should be noted that the programs may also be stored in one or more memories other than the ROM 602 and RAM 603. The processor 601 may also perform various operations of the method flow according to the embodiment of the present application by executing the programs stored in the one or more memories.

[0151] According to an embodiment of the present application, electronic device 600 may further include an input / output (I / O) interface 605, which is also connected to bus 604. Electronic device 600 may also include one or more of the following components connected to I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including devices such as a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section 608 including a hard disk; and a communication section 609 including a network interface card such as a LAN card or modem. Communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. Removable media 611, such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed in drive 610 as needed, so that computer programs read from the removable media can be installed into storage section 608 as needed.

[0152] According to an embodiment of the present application, the method flow according to the embodiment of the present application can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above-mentioned functions defined in the system of the embodiment of the present application are executed. According to an embodiment of the present application, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0153] This application also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently and not be incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, and when the one or more programs are executed, the method according to the embodiments of this application is implemented.

[0154] According to embodiments of the present application, a computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples include, but are not limited to, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0155] An embodiment of the present application also includes a computer program product, which includes a computer program, which contains program code for executing the method provided by the embodiment of the present application. When the computer program product is run on an electronic device, the program code is used to enable the electronic device to implement the method provided by the embodiment of the present application.

[0156] When the computer program is executed by the processor 601, the above functions defined in the system / device of the embodiment of the present application are performed. According to the embodiment of the present application, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0157] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 609, and / or installed from a removable medium 611. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0158] According to an embodiment of the present application, the program code for executing the computer program provided by the embodiment of the present application can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect via the Internet).

[0159] The embodiments of the present application have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present application. Although each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. The present application does not depart from the scope of the present application, and those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present application.

Claims

1. A carbon emission reduction assessment method, characterized in that: include: For each assessment area, based on a preset total emission reduction target, at least one emission reduction path is generated according to the unit parameters and carbon capture rates of multiple coal-fired power generation units, wherein the emission reduction path represents the order in which emission reduction modifications are implemented for some of the coal-fired power generation units, and the unit parameters represent the coal consumption information used by the coal-fired power generation units; For each of the emission reduction paths, an electricity consumption matrix and regional carbon emission information are generated based on the regional electricity data of each assessment area and the cross-regional electricity data between different assessment areas, wherein the electricity consumption matrix represents the relationship between power generation and electricity consumption between different assessment areas, and the regional carbon emission information represents the carbon emission information in coal-fired power generation; generating target carbon emission information and a target carbon emission factor for the assessment area under the emission reduction path according to the power consumption matrix and the plurality of regional carbon emission information; The original carbon emission data, the target carbon emission information and the target carbon emission factor are analyzed to obtain an emission reduction analysis result, wherein the original carbon emission data includes the original carbon emission information and the original carbon emission factor when the assessment area has not undergone emission reduction transformation, and the emission reduction analysis result represents the emission reduction effect of the assessment area after the emission reduction transformation.

2. The method according to claim 1, characterized in that The unit parameters include fuel combustion parameters, installed capacity and power plant utilization hour parameters of the coal-fired power generation unit; Based on the preset total emission reduction target, at least one emission reduction path is generated according to the unit parameters and carbon capture rates of multiple coal-fired power generation units, including: For each of the coal-fired power generation units, generating unit carbon emissions according to the fuel combustion parameters, the installed capacity, and the power plant utilization hour parameters; generating a carbon emission reduction amount according to the carbon emission amount of the unit and the carbon capture rate, wherein the carbon emission reduction amount represents the amount by which carbon emissions of the coal-fired power generation unit are reduced when the emission reduction modification is implemented; At least one emission reduction path is generated according to the preset emission reduction target total amount and the multiple carbon emission reduction amounts.

3. The method according to claim 2, characterized in that The emission reduction path includes a first emission reduction path, a second emission reduction path and a third emission reduction path; The step of generating at least one emission reduction path based on the preset total emission reduction target and the plurality of carbon emission reduction amounts includes: For each of the coal-fired power generation units, generating unit score information according to the unit attributes of the coal-fired power generation unit, wherein the unit attributes include unit size information, unit efficiency information, and unit life information; Sorting the scoring information of the plurality of units to obtain the first emission reduction path, wherein the first emission reduction path includes the sorted plurality of first power generation units, wherein the first power generation units are units that have undergone emission reduction modification on some of the coal-fired power generation units; generating a second emission reduction path based on the plurality of unit scoring information and regional power generation information, wherein the regional power generation information includes information on the installed capacity and power generation proportion of the assessment area, and the second emission reduction path includes the sorted plurality of second power generation units, wherein the second power generation units are units that have undergone emission reduction modifications on some of the coal-fired power generation units; The third emission reduction path is generated based on the scoring information of multiple units, the regional power generation information and the power consumption information, wherein the power consumption information represents the power transmission information between the evaluation area and other areas, and the third emission reduction path includes multiple sorted third power generation units, wherein the third power generation units are units that have undergone emission reduction modifications on some of the coal-fired power generation units.

4. The method according to claim 1, wherein Based on the regional electricity data of each assessment area and the cross-regional electricity data between different assessment areas, an electricity consumption matrix and regional carbon emission information are generated, including: generating power inflow and outflow information based on the regional power data and the cross-regional power data, wherein the power inflow and outflow information represents a relationship between power generation in the assessment area and power inflow from other areas to the assessment area, power consumption in the assessment area, and power outflow from the assessment area to other areas; The power consumption matrix and the regional carbon emission information are generated according to the power inflow and outflow information and the cross-regional power data.

5. The method according to claim 4, characterized in that Generating the power consumption matrix and the regional carbon emission information according to the power inflow and outflow information and the cross-regional power data includes: Generate a power outflow matrix based on the power inflow and outflow information and the cross-regional power data, wherein the elements in the power outflow matrix represent the proportion of the power inflow of the assessment area transferred to other areas to the power inflow of other areas; Processing the power outflow matrix using an input-output model to obtain an outflow coefficient matrix, wherein the outflow coefficient matrix represents the amount of electricity delivered from the assessment area to the power grid; generating the power consumption matrix according to the outflow coefficient matrix, the power consumption (c) of the evaluation area, and the power inflow; The regional carbon emission information is generated based on the fuel carbon emission data generated by the combustion of different fuels corresponding to the power generation and the carbon emission reduction of the modified coal-fired power generation unit.

6. The method according to claim 1, wherein Generating target carbon emission information and a target carbon emission factor for the assessment area under the emission reduction path according to the power consumption matrix and the plurality of regional carbon emission information includes: generating an emission flow matrix according to the regional carbon emission information of the plurality of assessment areas and the electricity consumption matrix; Summarizing multiple elements in the emission flow matrix to obtain the target carbon emission information; The target carbon emission factor is generated according to the target carbon emission information and the power consumption (c) of the assessment area.

7. The method according to claim 6, characterized in that Generating an emission flow matrix according to the regional carbon emission information of the plurality of assessment areas and the electricity consumption matrix, including: generating a diagonal matrix according to the carbon emission information of the plurality of assessment areas; The emission flow matrix is ​​generated according to the power consumption matrix and the diagonal matrix.

8. The method according to claim 1, characterized in that Analyze the original carbon emission data, the target carbon emission information, and the target carbon emission factor to obtain emission reduction analysis results, including: generating carbon emission change information according to the original carbon emission information and the target carbon emission information; generating factor change information according to the original carbon emission factor and the target carbon emission factor; The emission reduction analysis result is generated according to the carbon emission change information and the factor change information.

9. The method according to claim 1 or 8, characterized in that Also includes: A comparative analysis is performed on a plurality of the emission reduction analysis results in different assessment areas to obtain a regional analysis result, wherein the regional analysis result represents the transfer of the emission reduction effect between the different assessment areas.

10. A carbon emission reduction assessment device, comprising: A first generation module is configured to generate, for each assessment area, at least one emission reduction path based on a preset total emission reduction target and according to unit parameters and carbon capture rates of a plurality of coal-fired power generation units, wherein the emission reduction path represents a sequence in which the plurality of coal-fired power generation units are to undergo emission reduction modifications, the unit parameters represent coal consumption information used by the coal-fired power generation units, and the carbon capture rate represents a relationship between the amount of carbon emissions that can be captured and the amount of carbon emissions; a second generation module configured to generate, for each of the emission reduction paths, an electricity consumption matrix and regional carbon emission information based on the regional electricity data of each assessment area and the cross-regional electricity data between different assessment areas, wherein the electricity consumption matrix represents the relationship between power generation and electricity consumption between different assessment areas, and the regional carbon emission information represents carbon emission information in coal-fired power generation; A third generating module is configured to generate target carbon emission information and a target carbon emission factor for the assessment area under the emission reduction path based on the power consumption matrix and the plurality of regional carbon emission information; An analysis module is used to analyze the original carbon emission data, the target carbon emission information and the target carbon emission factor to obtain an emission reduction analysis result, wherein the original carbon emission data includes the original carbon emission information and the original carbon emission factor when the assessment area has not undergone emission reduction transformation, and the emission reduction analysis result represents the emission reduction effect of the assessment area after the emission reduction transformation.

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