Industrial park carbon emission reduction benefit evaluation method and system

Abstract

The invention discloses an industrial park carbon emission reduction benefit evaluation method and system, and belongs to the technical field of power system energy conservation and emission reduction, and the method comprises the steps: S1, obtaining industrial park integrated data, carrying out the preprocessing of the integrated data, obtaining carbon data, and building an equivalent physical network model according to the topological structure and equipment parameters of an industrial park; s2, calculating a carbon footprint according to the carbon data and a carbon footprint rule, and extracting carbon features based on the carbon footprint in combination with a reference mode; s3, calculating carbon efficiency according to the carbon footprint and economic data in the carbon data, and performing fine-grained dynamic measurement and calculation according to the carbon footprint, the carbon characteristics and the equivalent physical network model to obtain a carbon emission flow; s4, performing benefit evaluation according to the carbon efficiency and the carbon emission flow to obtain a carbon benefit, a carbon potential and a carbon relationship, and generating a carbon emission reduction strategy report according to the carbon benefit, the carbon potential and the carbon relationship; according to the method, the problem that the park carbon emission reduction benefit evaluation is inaccurate due to the fact that the mutual influence relation between different carbon links is not considered in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy conservation and emission reduction of power systems, and in particular to a method and system for evaluating the carbon emission reduction benefits of an industrial park. Background Art

[0002] With the development of energy-saving and emission reduction technologies, more and more industrial parks are undergoing energy-saving and emission reduction transformations. However, the existing carbon emission measurement methods for industrial parks before the transformation, such as direct carbon emission measurement method, fuel emission factor method, material balance method, actual measurement method, etc. and indirect carbon emission measurement method, emission factor method, sensitivity tracking method, cooperative game method, pricing mechanism method, carbon emission tracking method, etc., are difficult to fully and accurately reflect the actual carbon emissions of industrial parks, especially the mutual carbon emission impact relationship between industrial parks and upstream and downstream industrial chains. In addition, with the development of corresponding power systems, the energy structure and energy use patterns of industrial parks are becoming increasingly complex, which complicates the carbon emission measurement of industrial parks, and makes it difficult to accurately evaluate the carbon emission reduction benefits of industrial parks corresponding to their carbon emissions.

[0003] Chinese patent, publication number: CN118521014A, publication date: August 20, 2024, discloses a method for optimizing and evaluating the carbon neutrality path of a low-carbon industrial park, including: Step 1: Constructing a low-carbon industrial park planning and control path based on industrial clusters; Step 2: Adopting a low-carbon industrial park planning and control method based on industrial clusters; Step 3: Constructing an industrial park carbon emission management system; Step 4: Adopting the C3IAM / NET model to achieve layout optimization with minimal energy system cost; Step 5: Adopting a life cycle assessment method to evaluate the low-carbon path; However, the invention does not take into account the mutual influence between different carbon links, resulting in inaccurate evaluation of the carbon emission reduction benefits of the park. Summary of the invention

[0004] The purpose of the present invention is to address the problem that the prior art does not consider the mutual influence relationship between different carbon links, resulting in inaccurate carbon emission reduction benefit assessment of the industrial park; a method and system for carbon emission reduction benefit assessment of an industrial park are proposed, which calculates the carbon footprint based on the integrated data of the industrial park, extracts carbon characteristics based on the carbon footprint combined with a benchmark model, calculates carbon efficiency based on the carbon footprint combined with economic data, and calculates the carbon emission flow based on the carbon footprint, carbon characteristics and the equivalent physical network model of the corresponding industrial park, and then generates a carbon emission reduction strategy report based on the carbon benefits, carbon potential and carbon relationships assessed according to the carbon efficiency and carbon emission flow, while calculating the carbon emissions. The carbon potential is deeply excavated in combination with the mutual influence relationship between different carbon links, and the accuracy of carbon emission reduction benefit assessment in the industrial park is significantly improved.

[0005] In a first aspect, a technical solution provided in an embodiment of the present invention is a method for evaluating the carbon emission reduction benefits of an industrial park, comprising the following steps: S1. Acquire integrated data of industrial parks and pre-process the integrated data to obtain carbon data; Simultaneously, an equivalent physical network model is constructed based on the topological structure and equipment parameters of the industrial park; S2. Calculate the carbon footprint according to the carbon data and the carbon footprint rule, and extract carbon features based on the carbon footprint combined with a benchmark model; S3. Calculate carbon efficiency based on the carbon footprint and economic data in the carbon data, and perform fine-grained dynamic measurement based on the carbon footprint, carbon characteristics and equivalent physical network model to obtain carbon emission flow; S4. Perform benefit evaluation based on the carbon efficiency and carbon emission flow to obtain carbon benefit, carbon potential and carbon relationship, and generate a carbon emission reduction strategy report based on the carbon benefit, carbon potential and carbon relationship.

[0006] In this solution, the integrated data of the industrial park is preprocessed to obtain carbon data, which can eliminate outliers in the data and improve the accuracy and completeness of the data. An equivalent physical network model is constructed according to the topological structure and equipment parameters of the industrial park. The dynamic process of the industrial park can be simulated by the equivalent physical network model to obtain the dynamic characteristics of the industrial park. The carbon footprint is calculated according to the carbon data and the carbon footprint law to quantify the carbon emissions of the industrial park. The carbon footprint is compared with the carbon footprint of the industrial park under the baseline mode to obtain the correlation between different behaviors and changes in carbon emissions, namely the carbon characteristics. On the basis of the carbon footprint, economic factors are introduced to analyze carbon efficiency, which can reflect the productivity level of the industrial park under the current carbon emission level, which is convenient for comparison with other By comparing industrial parks under different carbon emission levels, and performing fine-grained dynamic measurement based on the carbon footprint, carbon characteristics and equivalent physical network model to obtain the carbon emission flow, we can clarify the distribution and transfer characteristics of the energy topology structure within the carbon accompanying energy system of the industrial park, and obtain the carbon emission proportion of different carbon links. Based on the carbon efficiency and carbon emission flow, we can conduct benefit evaluation to obtain carbon benefit, carbon potential and carbon relationship. We can deeply explore the carbon potential based on the carbon emission proportion of different carbon links, the correlation between different behaviors and changes in carbon emissions, and the productivity level of the industrial park under the current carbon emission level, and obtain the carbon relationship and carbon benefit corresponding to the carbon potential. Finally, we can generate a carbon emission reduction strategy report based on the carbon benefit, carbon potential and carbon relationship, which can significantly improve the accuracy of carbon emission reduction benefit evaluation in the industrial park.

[0007] Preferably, in S1, the specific process of obtaining the integrated data of the industrial park and preprocessing the integrated data to obtain the carbon data is: S111. Obtain and organize the energy consumption data, production activity data, upstream and downstream industrial chain related data, greening data and economic data of the industrial park to obtain integrated data; Simultaneously, a carbon link label is established based on the acquisition source of the integrated data; S112, cleaning the integrated data, and classifying the cleaned integrated data based on the carbon link labels to obtain direct carbon data and indirect carbon data; Simultaneously, the direct carbon data and the indirect carbon data are integrated to obtain carbon data.

[0008] In this solution, the energy consumption data, production activity data, upstream and downstream industrial chain related data, greening data and economic data of the industrial park can be sorted according to the time change scale, and then various different types of data can be sorted into a whole according to the same time change, that is, integrated data. A carbon link label is established based on the source of the integrated data, and the integrated data is classified based on the carbon link label. This can not only clarify the source of the data, but also trace the subsequently calculated carbon footprint, carbon efficiency, carbon characteristics, etc. according to the carbon link label.

[0009] Preferably, in S1, the specific process of constructing an equivalent physical network model according to the topological structure and equipment parameters of the industrial park is: S121. Acquire the topological structure of the industrial park and equipment parameters of the equipment in the topological structure, wherein the equipment parameters at least include voltage, current, power, frequency, temperature, pressure, thermal efficiency, flow rate, density and gas composition; S122, constructing a power system sub-model based on the voltage, current, power and frequency in the equipment parameters, and constructing a heat network system sub-model based on the temperature, pressure, thermal efficiency and flow in the equipment parameters; Simultaneously, a natural gas system submodel is constructed based on the temperature, pressure, flow, density and gas composition in the equipment parameters; S123, the power system submodel, the heat network system submodel and the natural gas system submodel are integrated based on the topological structure of the industrial park to obtain an equivalent physical network model.

[0010] Preferably, in S2, the specific process of calculating the carbon footprint according to the carbon data and the carbon footprint rule is: S211, obtaining global warming potential data and input data and output data of the carbon link corresponding to the carbon data, and calculating a direct consumption coefficient matrix according to the input data and output data; S212. Calculate direct carbon emissions based on global warming potential and direct carbon data in carbon data, and calculate indirect carbon emissions based on direct consumption coefficient matrix and indirect carbon data in carbon data; S213: Establish a carbon footprint based on the direct carbon emissions, indirect carbon emissions and carbon data corresponding to the carbon link.

[0011] In this plan, the global warming potential is also taken into account when calculating the carbon footprint. The contribution of the industrial park's carbon footprint to the carbon emissions corresponding to global warming can be obtained, and the carbon footprint is divided into two parts: direct carbon emissions and indirect carbon emissions. The composition of carbon emissions in the carbon footprint can be clarified.

[0012] Preferably, in S2, the specific process of extracting carbon features based on the carbon footprint combined with the benchmark model is: S221, obtaining a baseline carbon footprint of the industrial park corresponding to the carbon footprint in a baseline mode, and performing a comparative analysis between the baseline carbon footprint and the carbon footprint to determine the difference between the baseline carbon footprint and the carbon footprint; S222, extracting corresponding carbon data and corresponding benchmark carbon data based on the distinguishing step, and performing comparative analysis on the corresponding carbon data and the corresponding benchmark carbon data to determine distinguishing data between the corresponding carbon data and the corresponding benchmark carbon data; S223. Perform feature analysis based on the distinguishing links and distinguishing data to determine carbon features.

[0013] In this scheme, a graph of the carbon footprint and a graph of the baseline carbon footprint can be drawn for comparative analysis. The specific link in the carbon footprint where changes occur can be determined through the different change trends in the graph, and then the carbon data and baseline carbon data corresponding to the link where the carbon footprint changes can be extracted, and the specific types of data that have changed can be analyzed, and the data that changes with the change data within the same time scale can be mined to obtain the accompanying change data. The change data and the accompanying change data can be correlated to obtain the mutual influence relationship between the change data and the accompanying change data, and then the carbon characteristics can be obtained.

[0014] Preferably, in S3, the specific process of calculating the carbon efficiency according to the carbon footprint and the economic data in the carbon data is: S311, dividing the economic data in the carbon data into park economic data and enterprise economic data based on the corresponding industrial park topology structure, and dividing the carbon footprint into park carbon footprint and enterprise carbon footprint based on the corresponding industrial park topology structure; S312. Calculate the park carbon efficiency based on the park economic data and the park carbon footprint within the same time scale, and calculate the enterprise carbon efficiency based on the enterprise economic data and the enterprise carbon footprint within the same time scale; S313. Based on the topological structure of the corresponding industrial park, the carbon efficiency of the industrial park and the carbon efficiency of the enterprise are sorted out to obtain the carbon efficiency.

[0015] In this scheme, since there may be multiple enterprises or facilities and equipment that do not belong to an enterprise in an industrial park, which will cause changes in the economic data of the industrial park, the economic data in the carbon data is divided into park economic data and enterprise economic data, and the carbon footprint is correspondingly divided into park carbon footprint and enterprise carbon footprint. Then, the economic data and carbon footprint are linked based on the time scale to calculate the carbon efficiency.

[0016] Preferably, in S3, the specific process of performing fine-grained dynamic calculation to obtain the carbon emission flow according to the carbon footprint, carbon characteristics and equivalent physical network model is: S321, calculating the carbon emission variables of the nodes in the topological structure according to the carbon footprint, carbon characteristics and the topological structure corresponding to the equivalent physical network model, and solving the equivalent physical network model using the second-order cone relaxation method to obtain model dynamic data; S322. Setting a node carbon footprint ratio based on the model dynamic data and carbon characteristics, and merging node energy according to the node carbon footprint ratio, carbon emission variables and carbon footprint to obtain a carbon emission flow.

[0017] In this scheme, the second-order cone relaxation method is applied to the equivalent physical network model, which can convert the non-convex nonlinear problem in the equivalent physical network model into a convex problem, prevent the multiple local optimal solutions existing in the non-convex nonlinear problem from affecting the solution process, and effectively improve the solution efficiency of the equivalent physical network model. Then, the physical information neural network method can be used to solve the equivalent physical network model that completes the conversion of the non-convex nonlinear problem. The physical information neural network method incorporates the physical laws in differential form into the loss function corresponding to the solution process, and can obtain model dynamic data that is more in line with the physical laws. The model dynamic data at least includes the boundary conditions, operating conditions, and operating differential information of the corresponding comprehensive energy system of the corresponding industrial park.

[0018] Preferably, in S4, the specific process of performing benefit evaluation according to the carbon efficiency and carbon emission flow to obtain carbon benefit, carbon potential and carbon relationship is: S411, calculating the carbon savings and carbon intensity change rate based on the carbon efficiency and the carbon emission flow, and extracting the carbon emission variables based on the carbon emission flow; and simultaneously, drawing a fitting curve graph based on the carbon efficiency and the carbon emission flow; S412. Calculate the carbon benefit based on the carbon savings and the carbon intensity change rate, calculate the carbon potential based on the carbon intensity change rate and the carbon emission variable, and extract the carbon relationship based on the change trend of the fitting curve graph.

[0019] In this scheme, the carbon efficiency and carbon emission flow are compared with the benchmark model of the corresponding industrial park on the basis of the same time scale to obtain the reduction in carbon emissions, i.e., the carbon savings, and the improvement ratio of carbon efficiency, i.e., the carbon intensity change rate. The carbon benefits are obtained by weighted calculation based on the carbon savings and the carbon intensity change rate. The carbon potential is calculated based on the carbon intensity change rate and the carbon emission variables in the carbon emission flow. However, the carbon potential and carbon benefit are related to the changes in carbon efficiency and carbon emission flow. The changes in carbon efficiency and carbon emission flow are related to the seasonal and cyclical changes in the corresponding industrial park. Based on this, the correlation between carbon efficiency, carbon emission flow and the corresponding industrial park and the correlation between carbon efficiency and carbon emission flow, i.e., carbon relationship, can be deeply analyzed by fitting the carbon efficiency curve and the carbon emission flow curve to support the subsequent analysis of carbon potential and carbon benefits.

[0020] Preferably, in S4, the specific process of generating the carbon emission reduction strategy report according to the carbon benefit, carbon potential and carbon relationship is: Establish a correlation between the carbon benefits, carbon potential and carbon relationships according to the topological structure of the corresponding industrial park and the time change cycle; organize the carbon data based on the correlation, and divide the organized carbon data into benefit data, potential data and relationship data; establish a carbon reduction strategy report based on carbon benefits, carbon potential, carbon relationships, benefit data, potential data and relationship data.

[0021] In this scheme, since the carbon benefit, carbon potential are associated with changes in carbon efficiency and changes in carbon emission flow, it can be concluded that the carbon benefit, carbon potential are associated with the carbon relationship established based on changes in carbon efficiency and carbon emission flow. The carbon benefit, carbon potential and carbon relationship of the same node can be compared based on the corresponding industrial park topology within the same time change period. The comparison can be a comparison of data change trends, and a carbon benefit curve, a carbon potential curve and a carbon relationship curve can be drawn and fitted to compare during the fitting process, analyze the correlation between carbon potential and carbon benefit, and the impact of different actions in response to different carbon links at different nodes on the corresponding carbon emissions.

[0022] On the other hand, a technical solution also provided in an embodiment of the present invention is a carbon emission reduction benefit evaluation system for an industrial park, comprising: a collection and processing module, a carbon footprint module, a carbon efficiency module, a carbon feature module, a carbon emission flow module and an evaluation module; The first output end of the acquisition and processing module is electrically connected to the input end of the carbon footprint module, the first output end of the carbon footprint module is electrically connected to the input end of the carbon efficiency module, the second output end of the carbon footprint module is electrically connected to the input end of the carbon characteristic module, the output end of the carbon characteristic module is electrically connected to the first input end of the carbon emission flow module, the second output end of the acquisition and processing module is electrically connected to the second input end of the carbon emission flow module, the output end of the carbon emission flow module is electrically connected to the first input end of the evaluation module, and the output end of the carbon efficiency module is electrically connected to the second input end of the evaluation module.

[0023] The present invention has at least the following substantial effects: This application preprocesses the integrated data of the industrial park to obtain carbon data, which can eliminate outliers in the data and improve the accuracy and completeness of the data. According to the topological structure and equipment parameters of the industrial park, an equivalent physical network model is constructed, and the dynamic process of the industrial park can be simulated by the equivalent physical network model, so as to obtain the dynamic characteristics of the industrial park. The carbon footprint is calculated according to the carbon data and the carbon footprint law, and the carbon emissions of the industrial park can be quantified. The carbon footprint is compared with the carbon footprint of the industrial park under the baseline mode to obtain the correlation between different behaviors and changes in carbon emissions, that is, the carbon characteristics. On the basis of the carbon footprint, economic factors are introduced to analyze carbon efficiency, which can reflect the productivity level of the industrial park under the current carbon emission level, which is convenient for comparison with other carbon By comparing industrial parks under different emission levels, and performing fine-grained dynamic measurement based on the carbon footprint, carbon characteristics and equivalent physical network model to obtain the carbon emission flow, we can clarify the distribution and transfer characteristics of the energy topology structure within the carbon accompanying energy system of the industrial park, and obtain the carbon emission proportion of different carbon links. According to the carbon efficiency and carbon emission flow, the benefit evaluation is carried out to obtain the carbon benefit, carbon potential and carbon relationship. Based on the carbon emission proportion of different carbon links, the correlation between different behaviors and carbon emission changes, and the productivity level of the industrial park under the current carbon emission level, the carbon potential can be deeply explored to obtain the carbon relationship and carbon benefit corresponding to the carbon potential. Finally, a carbon emission reduction strategy report is generated based on the carbon benefit, carbon potential and carbon relationship, which significantly improves the accuracy of the carbon emission reduction benefit evaluation of the industrial park. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention. Also, the same reference symbols are used throughout the drawings to represent the same parts.

[0025] Figure 1 A schematic diagram of a process for evaluating the carbon emission reduction benefits of an industrial park according to the present invention; Figure 2It is a structural schematic diagram of a carbon emission reduction benefit evaluation system for an industrial park according to the present invention. DETAILED DESCRIPTION

[0026] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation method described herein is only an optimal embodiment of the present invention, which is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0027] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations (or steps) as sequential processes, many of the operations (or steps) therein can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the drawings; the process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0028] Embodiment 1: like Figure 1 As shown, this embodiment provides a method for evaluating the carbon emission reduction benefits of an industrial park, including the following steps: S1. Acquire integrated data of industrial parks and pre-process the integrated data to obtain carbon data; Simultaneously, an equivalent physical network model is constructed according to the topological structure and equipment parameters of the industrial park.

[0029] In one embodiment, the specific process of obtaining the integrated data of the industrial park and preprocessing the integrated data to obtain the carbon data is as follows: S111. Obtain and organize the energy consumption data, production activity data, upstream and downstream industrial chain related data, greening data and economic data of the industrial park to obtain integrated data; Simultaneously, a carbon link label is established based on the acquisition source of the integrated data; S112, cleaning the integrated data, and classifying the cleaned integrated data based on the carbon link labels to obtain direct carbon data and indirect carbon data; Simultaneously, the direct carbon data and the indirect carbon data are integrated to obtain carbon data.

[0030] In this embodiment, the energy consumption data includes electricity consumption, heat consumption, natural gas consumption, etc., the production activity data includes raw material consumption, product quality, etc., the upstream and downstream industry chain related data includes carbon emission data of raw material suppliers, energy usage of product sales targets, etc., the greening data includes greening coverage rate, carbon dioxide conversion rate, etc., and the economic data includes economic value-added, economic output relationship, etc. The integrated data of the industrial park can be acquired in real time through the data sharing mechanism established with upstream and downstream enterprises through the data acquisition equipment such as smart electricity meters, gas meters, and heat meters installed in the industrial park, and the outliers in the data can be eliminated, and the missing data can be filled by linear interpolation and other methods. Secondly, carbon link labels are established according to energy type, production link, etc. to classify the acquired integrated data. The data directly generated by the industrial park can be regarded as a large category, namely direct carbon data, and the data indirectly generated by the industrial park can be regarded as another large category, namely indirect carbon data.

[0031] In one embodiment, the specific process of constructing an equivalent physical network model according to the topological structure and equipment parameters of the industrial park is as follows: S121. Acquire the topological structure of the industrial park and equipment parameters of the equipment in the topological structure, wherein the equipment parameters at least include voltage, current, power, frequency, temperature, pressure, thermal efficiency, flow rate, density and gas composition; S122, constructing a power system sub-model based on the voltage, current, power and frequency in the equipment parameters, and constructing a heat network system sub-model based on the temperature, pressure, thermal efficiency and flow in the equipment parameters; Simultaneously, a natural gas system submodel is constructed based on the temperature, pressure, flow, density and gas composition in the equipment parameters; S123, the power system submodel, the heat network system submodel and the natural gas system submodel are integrated based on the topological structure of the industrial park to obtain an equivalent physical network model.

[0032] In this embodiment, the parameters of the device are usually marked based on the characteristics of the device such as the energy conversion efficiency, so the mechanism characteristics corresponding to the device can be obtained from the parameters of the device, and then the mechanism model of the device can be established according to the parameters of the device, and the physical topology information of the device can be obtained according to the topological structure of the industrial park. Based on the mechanism model of the device combined with the physical topology information of the device, an equivalent physical network model corresponding to the industrial park can be established.

[0033] S2. Calculate the carbon footprint according to the carbon data and the carbon footprint rule, and extract carbon features based on the carbon footprint combined with a benchmark model.

[0034] In one embodiment, the specific process of calculating the carbon footprint according to the carbon data and the carbon footprint rule is: S211, obtaining global warming potential data and input data and output data of the carbon link corresponding to the carbon data, and calculating a direct consumption coefficient matrix according to the input data and output data; S212. Calculate direct carbon emissions based on global warming potential and direct carbon data in carbon data, and calculate indirect carbon emissions based on direct consumption coefficient matrix and indirect carbon data in carbon data; S213: Establish a carbon footprint based on the direct carbon emissions, indirect carbon emissions and carbon data corresponding to the carbon link.

[0035] In this embodiment, direct carbon emissions are calculated based on the direct energy consumption process generated by fossil fuels in the industrial park, the production process generated by chemical and physical changes in substances during the production process, etc. For the direct energy consumption process, it is necessary to preliminarily calculate the corresponding carbon emissions based on the consumption of different types of energy fuels and the emission coefficients of the energy fuels, and multiply the corresponding carbon emissions with the corresponding global warming potential data to calculate the carbon impact of the energy fuel, thereby obtaining a carbon footprint that takes into account carbon emissions and impacts, which is convenient for subsequent step analysis. For the production process, it is necessary to calculate based on the product weight and the corresponding emission coefficient; based on the electricity, heat and upstream raw materials purchased from outside the industrial park Etc. to calculate indirect carbon emissions. For electric energy, the corresponding carbon emissions need to be calculated based on the enterprise's electricity consumption and the carbon dioxide emission coefficient of the regional power grid. For thermal energy, the corresponding carbon emissions need to be calculated based on steam consumption, thermal enthalpy value and regional thermal carbon dioxide emission coefficient. For upstream raw materials, the corresponding carbon emissions need to be calculated based on the cost of the raw materials purchased by the enterprise and the carbon emission intensity of the industry to which they belong. Secondly, before calculating carbon emissions, a coefficient matrix needs to be established based on all carbon emission coefficients of the indirect carbon emissions, and the carbon emission coefficient is updated according to the coefficient matrix and the direct consumption coefficient matrix. Specifically, the two matrices can be multiplied to calculate the new carbon emission coefficient. The calculation formula of the direct consumption coefficient matrix is: a ij =x ij / x j ; In the formula, a ij is the direct consumption coefficient of the i-th row and j-th column, x ij is the amount of output of the ith sector directly consumed by the jth sector, x j is the total input of the jth department.

[0036] In one embodiment, in S2, the specific process of extracting carbon features based on the carbon footprint combined with the benchmark model is: S221, obtaining a baseline carbon footprint of the industrial park corresponding to the carbon footprint in a baseline mode, and performing a comparative analysis between the baseline carbon footprint and the carbon footprint to determine the difference between the baseline carbon footprint and the carbon footprint; S222, extracting corresponding carbon data and corresponding benchmark carbon data based on the distinguishing step, and performing comparative analysis on the corresponding carbon data and the corresponding benchmark carbon data to determine distinguishing data between the corresponding carbon data and the corresponding benchmark carbon data; S223. Perform feature analysis based on the distinguishing links and distinguishing data to determine carbon features.

[0037] In this embodiment, the carbon footprint corresponding to the industrial park when it does not take specific carbon reduction measures or innovative carbon reduction technologies is introduced, that is, the baseline carbon footprint of the industrial park under the baseline mode, and the baseline carbon footprint is compared with the carbon footprint to analyze the carbon fingerprint corresponding to the industrial park, that is, the carbon characteristic, and the carbon footprint corresponding to the demand-side user's positive response behavior is analyzed compared with the baseline carbon footprint. The carbon emissions are reduced by the positive response behavior of the demand-side users compared to the baseline carbon footprint, and then the impact of the industrial park on the carbon emissions of other things is obtained, which can reflect the contribution of the industrial park in reducing the carbon footprint of others.

[0038] S3. Calculate carbon efficiency based on the carbon footprint and economic data in the carbon data, and perform fine-grained dynamic measurement based on the carbon footprint, carbon characteristics and equivalent physical network model to obtain the carbon emission flow.

[0039] In one embodiment, the specific process of calculating the carbon efficiency according to the carbon footprint and the economic data in the carbon data is as follows: S311, dividing the economic data in the carbon data into park economic data and enterprise economic data based on the corresponding industrial park topology structure, and dividing the carbon footprint into park carbon footprint and enterprise carbon footprint based on the corresponding industrial park topology structure; S312. Calculate the park carbon efficiency based on the park economic data and the park carbon footprint within the same time scale, and calculate the enterprise carbon efficiency based on the enterprise economic data and the enterprise carbon footprint within the same time scale; S313. Based on the topological structure of the corresponding industrial park, the carbon efficiency of the industrial park and the carbon efficiency of the enterprise are sorted out to obtain the carbon efficiency.

[0040] In this embodiment, for the park economic data and the park carbon footprint, the output value carbon efficiency calculation formula is used to calculate the ratio of the economic value-added to the value-added carbon emissions of the industrial park within a certain period of time, so as to obtain the carbon efficiency at the park level, so as to evaluate the relationship between the overall carbon emissions and economic output of the industrial park; for the enterprise economic data and the enterprise carbon footprint, the value-added time carbon efficiency calculation formula is used to calculate the carbon efficiency at the enterprise level according to the linear coefficient of the actual value-added and the value-added time, the value-added time and the value-added carbon emissions, so as to analyze the carbon efficiency differences of different production nodes within the enterprise; secondly, the same time scale is used to ensure that the time period of economic data and carbon footprint is consistent and the data is accurate.

[0041] In one embodiment, the specific process of performing fine-grained dynamic calculation to obtain the carbon emission flow based on the carbon footprint, carbon characteristics and equivalent physical network model is as follows: S321, calculating the carbon emission variables of the nodes in the topological structure according to the carbon footprint, carbon characteristics and the topological structure corresponding to the equivalent physical network model, and solving the equivalent physical network model using the second-order cone relaxation method to obtain model dynamic data; S322. Setting a node carbon footprint ratio based on the model dynamic data and carbon characteristics, and merging node energy according to the node carbon footprint ratio, carbon emission variables and carbon footprint to obtain a carbon emission flow.

[0042] In this embodiment, the second-order cone relaxation method is used to transform the non-convex nonlinear problem in the equivalent physical network model into a convex problem, and the physical information neural network method is further used to solve the dynamic process of the equivalent physical network model to realize the dynamic simulation of the equivalent physical network model. Based on the dynamic process of the equivalent physical network model, carbon emission variables and the carbon footprint ratio of the node, energy merging is performed to obtain the carbon flow density of each branch and the carbon emission density of each node in the equivalent physical network model, and the carbon emission flow is established according to the carbon flow density of each branch and the carbon emission density of each node.

[0043] S4. Perform benefit evaluation based on the carbon efficiency and carbon emission flow to obtain carbon benefit, carbon potential and carbon relationship, and generate a carbon emission reduction strategy report based on the carbon benefit, carbon potential and carbon relationship.

[0044] In one embodiment, the specific process of performing benefit evaluation based on the carbon efficiency and carbon emission flow to obtain carbon benefit, carbon potential and carbon relationship is as follows: S411, calculating the carbon savings and carbon intensity change rate based on the carbon efficiency and the carbon emission flow, and extracting the carbon emission variables based on the carbon emission flow; and simultaneously, drawing a fitting curve graph based on the carbon efficiency and the carbon emission flow; S412. Calculate the carbon benefit based on the carbon savings and the carbon intensity change rate, calculate the carbon potential based on the carbon intensity change rate and the carbon emission variable, and extract the carbon relationship based on the change trend of the fitting curve graph.

[0045] In one embodiment, the specific process of generating a carbon reduction strategy report based on the carbon benefits, carbon potential and carbon relationship is as follows: Establish a correlation between the carbon benefits, carbon potential and carbon relationships according to the topological structure of the corresponding industrial park and the time change cycle; organize the carbon data based on the correlation, and divide the organized carbon data into benefit data, potential data and relationship data; establish a carbon reduction strategy report based on carbon benefits, carbon potential, carbon relationships, benefit data, potential data and relationship data.

[0046] On the other hand, Figure 2As shown, a technical solution also provided in the embodiment of the present invention is a carbon emission reduction benefit evaluation system for an industrial park, comprising: a collection and processing module, a carbon footprint module, a carbon efficiency module, a carbon feature module, a carbon emission flow module and an evaluation module; The first output end of the acquisition and processing module is electrically connected to the input end of the carbon footprint module, the first output end of the carbon footprint module is electrically connected to the input end of the carbon efficiency module, the second output end of the carbon footprint module is electrically connected to the input end of the carbon characteristic module, the output end of the carbon characteristic module is electrically connected to the first input end of the carbon emission flow module, the second output end of the acquisition and processing module is electrically connected to the second input end of the carbon emission flow module, the output end of the carbon emission flow module is electrically connected to the first input end of the evaluation module, and the output end of the carbon efficiency module is electrically connected to the second input end of the evaluation module.

[0047] In this embodiment, the acquisition and processing module is used to collect various relevant data in the industrial park, including energy consumption data, production activity data, upstream and downstream industry data, and park greening data, and clean, classify and organize the collected data to provide accurate data support for subsequent calculations and analysis; The carbon footprint module is used to calculate the direct carbon footprint and indirect carbon footprint of the industrial park according to the set calculation method, including the carbon footprint of energy consumption, the carbon footprint of the production process, the carbon footprint of externally purchased electric heating and cooling, and the carbon footprint of upstream raw materials; The carbon efficiency module is used to calculate the corresponding carbon efficiency according to the carbon efficiency calculation formula at the park level and the enterprise level, and analyze the relationship between the carbon emissions of the park and the enterprise and the economic activities; The carbon characteristic module is used to compare the carbon footprints under different production schemes, that is, to compare the carbon footprints of the industrial park corresponding to the baseline model and the non-benchmark model, and then analyze the impact of the industrial park's corresponding demand-side user response behavior on carbon emissions, as well as the industrial park's contribution to external carbon emission reduction; The carbon emission flow module is used to construct an equivalent physical network model corresponding to the industrial park, and solve the equivalent physical network model to simulate the dynamic process of the industrial park, while performing fine-grained dynamic carbon emission measurement and analyzing the distribution and transfer characteristics of the carbon emission flow in the energy system corresponding to the industrial park; The evaluation module is used to integrate the calculation and analysis results of the carbon footprint module, the carbon characteristic module, the carbon emission flow module, the carbon efficiency module, etc., and conduct a comprehensive evaluation to obtain an overall evaluation of the carbon emission reduction benefits of the industrial park.

[0048] This embodiment has at least the following substantial effects: This embodiment preprocesses the integrated data of the industrial park to obtain carbon data, which can eliminate outliers in the data and improve the accuracy and completeness of the data. An equivalent physical network model is constructed according to the topological structure and equipment parameters of the industrial park. The dynamic process of the industrial park can be simulated by the equivalent physical network model, and then the dynamic characteristics of the industrial park can be obtained. The carbon footprint is calculated according to the carbon data and the carbon footprint law, and the carbon emissions of the industrial park can be quantified. The carbon footprint is compared with the carbon footprint of the industrial park in the baseline mode to obtain the correlation between different behaviors and changes in carbon emissions, that is, the carbon characteristics. On the basis of the carbon footprint, economic factors are introduced to analyze carbon efficiency, which can reflect the productivity level of the industrial park under the current carbon emission level, which is convenient for comparison with other carbon By comparing industrial parks under different emission levels, and performing fine-grained dynamic measurement based on the carbon footprint, carbon characteristics and equivalent physical network model to obtain the carbon emission flow, we can clarify the distribution and transfer characteristics of the energy topology structure within the carbon accompanying energy system of the industrial park, and obtain the carbon emission proportion of different carbon links. According to the carbon efficiency and carbon emission flow, the benefit evaluation is carried out to obtain the carbon benefit, carbon potential and carbon relationship. Based on the carbon emission proportion of different carbon links, the correlation between different behaviors and carbon emission changes, and the productivity level of the industrial park under the current carbon emission level, the carbon potential can be deeply explored to obtain the carbon relationship and carbon benefit corresponding to the carbon potential. Finally, a carbon emission reduction strategy report is generated based on the carbon benefit, carbon potential and carbon relationship, which significantly improves the accuracy of the carbon emission reduction benefit evaluation of the industrial park.

[0049] The above specific embodiments are preferred embodiments of the present invention, and are not intended to limit the specific implementation scope of the present invention. The scope of the present invention includes but is not limited to the present specific embodiments. All equivalent changes made in accordance with the shape, structure, and method of the present invention are within the protection scope of the present invention.

Claims

1. A method for evaluating the carbon emission reduction benefits of an industrial park, characterized in that: The method comprises the following steps: S1. Acquire integrated data of industrial parks and pre-process the integrated data to obtain carbon data; Simultaneously, an equivalent physical network model is constructed based on the topological structure and equipment parameters of the industrial park; S2. Calculate the carbon footprint according to the carbon data and the carbon footprint rule, and extract carbon features based on the carbon footprint combined with a benchmark model; S3. Calculate carbon efficiency based on the carbon footprint and economic data in the carbon data, and perform fine-grained dynamic measurement based on the carbon footprint, carbon characteristics and equivalent physical network model to obtain carbon emission flow; S4. Perform benefit evaluation based on the carbon efficiency and carbon emission flow to obtain carbon benefit, carbon potential and carbon relationship, and generate a carbon emission reduction strategy report based on the carbon benefit, carbon potential and carbon relationship.

2. The method for evaluating carbon emission reduction benefits of an industrial park according to claim 1, characterized in that: In S1, the specific process of obtaining the integrated data of the industrial park and preprocessing the integrated data to obtain the carbon data is as follows: S111. Obtain and organize the energy consumption data, production activity data, upstream and downstream industrial chain related data, greening data and economic data of the industrial park to obtain integrated data; Simultaneously, a carbon link label is established based on the acquisition source of the integrated data; S112, cleaning the integrated data, and classifying the cleaned integrated data based on the carbon link labels to obtain direct carbon data and indirect carbon data; Simultaneously, the direct carbon data and the indirect carbon data are integrated to obtain carbon data.

3. The method for evaluating carbon emission reduction benefits of an industrial park according to claim 1, characterized in that: In S1, the specific process of constructing an equivalent physical network model according to the topological structure and equipment parameters of the industrial park is as follows: S121. Acquire the topological structure of the industrial park and equipment parameters of the equipment in the topological structure, wherein the equipment parameters at least include voltage, current, power, frequency, temperature, pressure, thermal efficiency, flow rate, density and gas composition; S122, constructing a power system sub-model based on the voltage, current, power and frequency in the equipment parameters, and constructing a heat network system sub-model based on the temperature, pressure, thermal efficiency and flow in the equipment parameters; Simultaneously, a natural gas system sub-model is constructed based on the temperature, pressure, flow rate, density and gas composition of the equipment parameters; S123. Integrate the power system submodel, the heat network system submodel and the natural gas system submodel based on the topological structure of the industrial park to obtain an equivalent physical network model.

4. The method for evaluating carbon emission reduction benefits of an industrial park according to claim 1, characterized in that: In S2, the specific process of calculating the carbon footprint according to the carbon data and the carbon footprint rule is: S211, obtaining global warming potential data and input data and output data of the carbon link corresponding to the carbon data, and calculating a direct consumption coefficient matrix according to the input data and output data; S212. Calculate direct carbon emissions based on global warming potential and direct carbon data in carbon data, and calculate indirect carbon emissions based on direct consumption coefficient matrix and indirect carbon data in carbon data; S213: Establish a carbon footprint based on the direct carbon emissions, indirect carbon emissions and carbon data corresponding to the carbon link.

5. The method for evaluating carbon emission reduction benefits of an industrial park according to claim 4, characterized in that: In S2, the specific process of extracting carbon features based on the carbon footprint combined with the benchmark model is: S221, obtaining a baseline carbon footprint of the industrial park corresponding to the carbon footprint in a baseline mode, and performing a comparative analysis between the baseline carbon footprint and the carbon footprint to determine the difference between the baseline carbon footprint and the carbon footprint; S222, extracting corresponding carbon data and corresponding benchmark carbon data based on the distinguishing step, and performing comparative analysis on the corresponding carbon data and the corresponding benchmark carbon data to determine distinguishing data between the corresponding carbon data and the corresponding benchmark carbon data; S223. Perform feature analysis based on the distinguishing links and distinguishing data to determine carbon features.

6. The method for evaluating carbon emission reduction benefits of an industrial park according to claim 1, characterized in that: In S3, the specific process of calculating the carbon efficiency according to the carbon footprint and the economic data in the carbon data is as follows: S311, dividing the economic data in the carbon data into park economic data and enterprise economic data based on the corresponding industrial park topology structure, and dividing the carbon footprint into park carbon footprint and enterprise carbon footprint based on the corresponding industrial park topology structure; S312. Calculate the park carbon efficiency based on the park economic data and the park carbon footprint within the same time scale, and calculate the enterprise carbon efficiency based on the enterprise economic data and the enterprise carbon footprint within the same time scale; S313. Based on the topological structure of the corresponding industrial park, the carbon efficiency of the industrial park and the carbon efficiency of the enterprise are sorted out to obtain the carbon efficiency.

7. The method for evaluating carbon emission reduction benefits of an industrial park according to claim 1, characterized in that: In S3, the specific process of obtaining the carbon emission flow by fine-grained dynamic calculation based on the carbon footprint, carbon characteristics and equivalent physical network model is as follows: S321, calculating the carbon emission variables of the nodes in the topological structure according to the carbon footprint, carbon characteristics and the topological structure corresponding to the equivalent physical network model, and solving the equivalent physical network model using the second-order cone relaxation method to obtain model dynamic data; S322. Setting a node carbon footprint ratio based on the model dynamic data and carbon characteristics, and merging node energy according to the node carbon footprint ratio, carbon emission variables and carbon footprint to obtain a carbon emission flow.

8. The method for evaluating carbon emission reduction benefits of an industrial park according to claim 1, characterized in that: In S4, the specific process of performing benefit evaluation according to the carbon efficiency and carbon emission flow to obtain carbon benefit, carbon potential and carbon relationship is: S411, calculating the carbon savings and carbon intensity change rate based on the carbon efficiency and the carbon emission flow, and extracting the carbon emission variables based on the carbon emission flow; and simultaneously, drawing a fitting curve graph based on the carbon efficiency and the carbon emission flow; S412. Calculate the carbon benefit based on the carbon savings and the carbon intensity change rate, calculate the carbon potential based on the carbon intensity change rate and the carbon emission variable, and extract the carbon relationship based on the change trend of the fitting curve graph.

9. The method for evaluating carbon emission reduction benefits of an industrial park according to claim 1, characterized in that: In S4, the specific process of generating a carbon reduction strategy report according to the carbon benefits, carbon potential and carbon relationship is as follows: Establishing the correlation between the carbon benefits, carbon potential and carbon relationship according to the topological structure and time change cycle of the corresponding industrial park; The carbon data is sorted based on the association relationship, and the sorted carbon data is divided into benefit data, potential data and relationship data; a carbon reduction strategy report is established based on carbon benefits, carbon potential, carbon relationships, benefit data, potential data and relationship data.

10. An industrial park carbon emission reduction benefit evaluation system, applicable to an industrial park carbon emission reduction benefit evaluation method as claimed in any one of claims 1 to 9, characterized in that: It includes: collection and processing module, carbon footprint module, carbon efficiency module, carbon characteristic module, carbon emission flow module and evaluation module; The first output end of the acquisition and processing module is electrically connected to the input end of the carbon footprint module, the first output end of the carbon footprint module is electrically connected to the input end of the carbon efficiency module, the second output end of the carbon footprint module is electrically connected to the input end of the carbon characteristic module, the output end of the carbon characteristic module is electrically connected to the first input end of the carbon emission flow module, the second output end of the acquisition and processing module is electrically connected to the second input end of the carbon emission flow module, the output end of the carbon emission flow module is electrically connected to the first input end of the evaluation module, and the output end of the carbon efficiency module is electrically connected to the second input end of the evaluation module.

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