Organization carbon emission calculation and performance prediction method, system, equipment and medium

Abstract

The invention provides an organization carbon emission calculation and performance prediction method and system, equipment and a medium. The method comprises the following steps: dividing an organization into a plurality of mutually independent units; organizational material information input and output through the boundary of the organization in a preset statistical period and unit material information consumed and recycled through each unit in the organization are collected; determining an emission source corresponding to the material information of each unit; determining an emission factor corresponding to each emission source; determining a target loss amount corresponding to the target emission source; and under the condition that the target loss amount meets a preset condition, unit carbon emission and unit carbon emission intensity of each unit are determined, tissue carbon emission and tissue carbon emission intensity of the tissue are determined, and the tissue carbon emission intensity serves as the tissue carbon emission performance. According to the scheme, the accuracy of organization carbon emission calculation and performance prediction can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of organizational carbon emission monitoring and control, and in particular to a method, system, equipment and medium for calculating and predicting the performance of organizational carbon emissions. Background Art

[0002] Nowadays, in order to accelerate the promotion of green and low-carbon development, how various organizations can formulate routes and development plans that are in line with their own characteristics and meet the needs of social development, and implement them reasonably and orderly, is a very realistic and urgent issue at present.

[0003] The current organizational carbon emission calculations and performance forecasts only focus on the overall carbon emission level of the organization. There is a lack of necessary data support and performance assessment tools for how to control and reduce carbon emissions within the organization. No rigorous mathematical connection has been established between organizations, units, products, and between local specific carbon reduction measures and overall carbon reduction effects. The results of organizational carbon emission calculations and performance forecasts are not accurate enough. Summary of the invention

[0004] In order to overcome the defects of the above-mentioned prior art, the present application provides a method, system, equipment and medium for calculating and predicting the carbon emissions of an organization, which can improve the accuracy of the calculation and performance prediction of the carbon emissions of an organization.

[0005] In order to solve the above technical problems, this application provides the following technical solutions:

[0006] According to a first aspect of an embodiment of the present application, a method for calculating and predicting carbon emissions of an organization is provided, comprising:

[0007] Divide the organization into multiple independent units;

[0008] Collecting information on organizational materials that can generate carbon emissions and are input and output through the boundaries of the organization during a preset statistical period, as well as information on unit materials that can generate carbon emissions and are consumed and recycled by each unit within the organization;

[0009] Determine the emission source corresponding to each unit material information;

[0010] Determine the emission factors corresponding to each of the emission sources;

[0011] Based on the collected tissue material information and each of the unit material information, determine the target loss amount corresponding to the target emission source; the target emission source is any one of the emission sources;

[0012] When the target loss amount meets the preset conditions, the unit carbon emissions of each of the units are determined based on the emission factors, and when each of the units is determined to have products, the unit carbon emission intensity of each of the units is determined based on the unit carbon emissions; and when the target loss amount meets the preset conditions, the organizational carbon emissions of the organization are determined based on the emission factors, and when the organization is determined to have products, the organizational carbon emission intensity of the organization is determined based on the organizational carbon emissions, and the organizational carbon emission intensity is used as the organizational carbon emission performance of the organization; the preset condition is that the target loss amount does not exceed a preset percentage of the sum of the target emission source consumption of each of the units, and the target emission source consumption is determined based on the organizational material information or the unit material information.

[0013] In an exemplary embodiment, the organizational material information includes organizational input and organizational output; the unit material information includes unit consumption, unit recovery, inventory at the beginning of the statistical period, and inventory at the end of the statistical period.

[0014] In an exemplary embodiment, the target loss is recorded as L, then AB-(DC)=Σa j -Σb j +L;

[0015] in,

[0016] A represents the target organization input corresponding to the target emission source; the target organization input is the input corresponding to the target emission source in the organization input;

[0017] B represents the target tissue output corresponding to the target emission source; the target tissue output is the output corresponding to the target emission source in the tissue output;

[0018] C represents the starting inventory of the target statistical period corresponding to the target emission source; the starting inventory of the target statistical period is the starting inventory corresponding to the target emission source in the starting inventory of the statistical period corresponding to each of the units;

[0019] D represents the target statistical period end inventory corresponding to the target emission source; the target statistical period end inventory is the end inventory corresponding to the target emission source in the statistical period end inventory corresponding to each unit;

[0020] a j represents the target emission source consumption of the j-th unit; the target emission source consumption of the j-th unit is the consumption corresponding to the target emission source in the unit consumption corresponding to the j-th unit;

[0021] b j represents the target emission source recovery amount of the j-th unit; the target emission source recovery amount of the j-th unit is the recovery amount corresponding to the target emission source in the unit recovery amount corresponding to the j-th unit;

[0022] j is a positive integer.

[0023] In an exemplary embodiment, the unit carbon emission corresponding to the jth unit is recorded as e j ,but

[0024] e j =Σ(a ij ×EF ij ×ka ij )-Σ(b ij ×EF ij ×kb ij );

[0025] in,

[0026] a ij represents the consumption of the i-th emission source corresponding to the j-th unit; the consumption of the i-th emission source corresponding to the j-th unit is the consumption corresponding to the i-th emission source in the unit consumption corresponding to the j-th unit;

[0027] b ij represents the recovery amount of the i-th emission source corresponding to the j-th unit; the recovery amount of the i-th emission source corresponding to the j-th unit is the recovery amount corresponding to the i-th emission source in the unit recovery amount corresponding to the j-th unit;

[0028] EF ij Indicates the emission factor of the i-th emission source corresponding to the j-th unit;

[0029] ka ij and kb ij is the calculation coefficient; when the i-th emission source corresponding to the j-th unit is included in the carbon emission calculation, it is recorded as 1, and when it is not included in the carbon emission calculation, it is recorded as 0;

[0030] i is a positive integer.

[0031] In an exemplary embodiment, when the jth unit has a certain product and the product is single, the product output of the jth unit is recorded as o j , the carbon emission intensity of the jth unit is recorded as E j , then E j =e j / o j .

[0032] In an exemplary embodiment, when the jth unit has a certain product and there are n products, the unit carbon emission corresponding to the jth unit is recorded as e jk ,but

[0033] e jn =Σ(a ijn ×EF ijn ×ka ijn )-Σ(b ijn ×EF ijn ×kb ijn );

[0034] in,

[0035] a ijn represents the consumption of the i-th emission source corresponding to the n-th product in the j-th unit; the consumption of the i-th emission source corresponding to the n-th product in the j-th unit is the consumption corresponding to the i-th emission source of the n-th product in the unit consumption corresponding to the j-th unit;

[0036] b ijn represents the recovery amount of the ith emission source corresponding to the nth product in the jth unit; the recovery amount of the ith emission source corresponding to the nth product in the jth unit is the recovery amount corresponding to the ith emission source of the nth product in the unit recovery amount corresponding to the jth unit;

[0037] EF ijn It represents the emission factor of the ith emission source corresponding to the nth product in the jth unit;

[0038] ka ijn and kb ijn is the calculation coefficient; when the ith emission source corresponding to the nth product in the jth unit is included in the carbon emission calculation, it is recorded as 1; when it is not included in the carbon emission calculation, it is recorded as 0;

[0039] n>1, and n is a positive integer.

[0040] In an exemplary embodiment, the product output of the nth product of the jth unit is recorded as o jn The unit carbon emission intensity of the nth product in the unit carbon emission intensity corresponding to the jth unit is recorded as E jn , then E jn =e jn / o jn .

[0041] In an exemplary embodiment, the carbon emissions of the organization are recorded as e, then

[0042] e=Σ((A i -Bi -(D i -C i ))×EF i ×k i );

[0043] in,

[0044] A i represents the input amount of the i-th emission source in the organization; the input amount of the i-th emission source is the input amount corresponding to the i-th emission source in the organization's input amount;

[0045] B i represents the output of the i-th emission source in the organization; the output of the i-th emission source is the output corresponding to the i-th emission source in the output of the organization;

[0046] C i represents the starting inventory of the ith emission source in the organization; the starting inventory of the ith emission source is the starting inventory corresponding to the ith emission source in the starting inventory of the statistical period corresponding to each of the units;

[0047] D i represents the ending inventory of the i-th emission source in the organization; the ending inventory of the i-th emission source is the ending inventory corresponding to the i-th emission source in the ending inventory of the statistical period corresponding to each of the units;

[0048] EF i represents the emission factor of the ith emission source in the organization;

[0049] k i It is the calculation coefficient; it is recorded as 1 when the i-th emission source is included in the carbon emission calculation, and it is recorded as 0 when it is not included in the carbon emission calculation.

[0050] In an exemplary embodiment, when the organization has a certain product, the product output of the organization is recorded as o, and the carbon emission intensity of the organization is recorded as E, then E=e / o.

[0051] According to a second aspect of an embodiment of the present application, a system for calculating and predicting carbon emissions of an organization is provided, the system comprising:

[0052] A partitioning module is used to divide the organization into multiple independent units;

[0053] A collection module, used to collect information on organizational materials that can generate carbon emissions and are input and output through the boundaries of the organization during a preset statistical period, as well as information on unit materials that can generate carbon emissions and are consumed and recycled by each unit within the organization;

[0054] An emission source determination module, used to determine the emission source corresponding to each unit material information;

[0055] An emission factor determination module, used to determine the emission factor corresponding to each of the emission sources;

[0056] A target loss amount determination module is used to determine the target loss amount corresponding to the target emission source based on the collected tissue material information and each of the unit material information; the target emission source is any one of the emission sources;

[0057] A calculation module is used to determine the unit carbon emissions of each of the units based on the emission factor when the target loss amount meets the preset conditions, and determine the unit carbon emission intensity of each of the units based on the unit carbon emissions when each of the units is determined to have products; and to determine the organizational carbon emissions of the organization based on the emission factor when the target loss amount meets the preset conditions, and determine the organizational carbon emission intensity of the organization based on the organizational carbon emissions when the organization is determined to have products, and use the organizational carbon emission intensity as the organizational carbon emission performance of the organization; the preset condition is that the target loss amount does not exceed a preset percentage of the sum of the target emission source consumption of each of the units, and the target emission source consumption is determined based on the organizational material information or the unit material information.

[0058] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement any of the above-mentioned organizational carbon emissions calculation and performance prediction methods.

[0059] According to the fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement any of the above-mentioned organizational carbon emissions calculation and performance prediction methods.

[0060] By adopting the above technical solution, the present application has the following beneficial effects:

[0061] The present application provides a method, system, equipment and medium for calculating and predicting the carbon emissions of an organization. With emission sources and units as two dimensions, the material and energy balance of the organization and units is established. The carbon emissions and carbon emission performance of the organization and units are obtained through the output of the products of the organization and each unit, the emission factors of each emission source, and the carbon emissions of each emission source. The organizational level and process level data of the process manufacturing enterprise are obtained through the carbon calculation results of the organization and the unit, thereby solving the problem of performance analysis and prediction, and establishing a rigorous mathematical connection between organizations, units, products, and between local specific carbon reduction measures and overall carbon reduction effects, which can improve the accuracy of the organization's carbon emissions calculation and performance prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0063] Figure 1 A flowchart of a method for calculating and predicting the carbon emissions of an organization provided in an embodiment of the present application;

[0064] Figure 2 A structural block diagram of an organizational carbon emission calculation and performance prediction system provided in an embodiment of the present application;

[0065] Figure 3 A hardware structure block diagram of an electronic device that runs a method for calculating and predicting the carbon emissions of an organization according to an embodiment of the present application. DETAILED DESCRIPTION

[0066] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0067] The term "one embodiment" or "embodiment" as referred to herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present application. In the description of the embodiments of the present application, it should be understood that the orientation or positional relationship indicated by the terms "upper", "lower", "top", "bottom", etc. is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may include one or more of the features explicitly or implicitly. Moreover, the terms "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here.

[0068] See also Figure 1 , which is a flow chart of a method for calculating and predicting the carbon emissions of an organization provided in an embodiment of the present application, the method for calculating and predicting the carbon emissions of an organization includes:

[0069] Step S101: Divide the organization into multiple independent units;

[0070] Step S102: Collecting information on organizational materials that can generate carbon emissions and are input and output through the boundaries of the organization during a preset statistical period, as well as information on unit materials that can generate carbon emissions and are consumed and recycled by each unit within the organization;

[0071] Step S103: Determine the emission source corresponding to each unit material information;

[0072] Step S104: Determine the emission factor corresponding to each emission source;

[0073] Step S105: based on the collected organizational material information and each unit material information, determine the target loss amount corresponding to the target emission source; the target emission source is any one of the emission sources;

[0074] Step S106: When the target loss amount meets the preset conditions, the unit carbon emissions of each unit are determined based on the emission factors, and when each unit is determined to have a product, the unit carbon emission intensity of each unit is determined based on the carbon emissions of each unit; and when the target loss amount meets the preset conditions, the organizational carbon emissions of the organization are determined based on the emission factors, and when the organization is determined to have a product, the organizational carbon emission intensity of the organization is determined based on the organizational carbon emissions, and the organizational carbon emission intensity is used as the organizational carbon emission performance of the organization; the preset condition is that the target loss amount does not exceed a preset percentage of the sum of the target emission source consumption of each unit, and the target emission source consumption is determined based on the organizational material information or the unit material information.

[0075] In a specific embodiment, in the above step S101, for a process manufacturing enterprise, the organization may be divided into multiple independent units according to the process.

[0076] In a specific embodiment, in the above step S102, the organization material information includes the organization input and the organization output; the unit material information includes the unit consumption, the unit recovery, the inventory at the beginning of the statistical period, and the inventory at the end of the statistical period. Optionally, the organization input may include the mass, volume or quantity of fuel, electricity, heat, energy-consuming fluids, carbon-containing raw materials, carbon-containing products / by-products, carbon-containing solid wastes, and other non-carbon-containing materials and products that need to calculate indirect carbon emissions that are input at the organization boundary; the organization output may include the mass, volume or quantity of fuel, electricity, heat, energy-consuming fluids, carbon-containing raw materials, carbon-containing products / by-products, carbon-containing solid wastes, and other non-carbon-containing materials and products that need to calculate indirect carbon emissions that are output at the organization boundary; the unit consumption may include the fuel, electricity, heat, energy-consuming fluids, carbon-containing raw materials, carbon-containing products consumed by any unit within the organization. The mass, volume or quantity of the fuel, electricity, heat, energy-consuming working fluid, carbon-containing raw materials, carbon-containing products / by-products, carbon-containing solid waste and other non-carbon-containing materials and products for calculating indirect carbon emissions can be included; the unit recycling volume can include the mass, volume or quantity of fuel, electricity, heat, energy-consuming working fluid, carbon-containing raw materials, carbon-containing products / by-products, carbon-containing solid waste and other non-carbon-containing materials and products for calculating indirect carbon emissions that are recycled by any unit within the organization; the starting inventory of the statistical period can be the inventory of materials involved in the inventory that has passed through any unit within the organization at the beginning of the preset statistical period; the ending inventory of the statistical period can be the inventory of materials involved in the inventory that has passed through any unit within the organization at the end of the preset statistical period.

[0077] In an optional embodiment, the organization material information and unit material information involve fuel, carbon-containing products, carbon-containing raw materials, power and non-carbon-containing materials for calculating indirect carbon emissions; wherein the fuel includes washed clean coal, anthracite, bituminous coal, thermal coal, coke, coke powder, semi-coke, dry quenching coke powder, diesel, gasoline, crude benzene, tar, LPG, natural gas, coke oven gas, blast furnace gas, converter gas, acetylene, propane, hydrogen production desorption gas, OY furnace gas, carbon-containing products include pig iron, molten iron, hydrogen-based reduced iron, carbon-based reduced iron, crude steel / rolled steel products, and carbon-containing raw materials include limestone, dolomite, siderite, scrap iron, scrap steel, Electrodes, soda, baking soda, calcium carbide powder, recarburizer, magnesite, nickel-iron alloy, chromium-iron alloy, molybdenum-iron alloy, ferromanganese alloy, silicon-manganese alloy, metallic manganese, low-carbon ferromanganese, ferrovanadium, high-silicon ferrotitanium, ferrosilicon, vanadium-nitrogen alloy, blast furnace dust; power includes electricity, green electricity, high-pressure steam, medium-pressure steam, low-pressure steam, hot water, compressed air, high-pressure oxygen, low-pressure oxygen, liquid oxygen, low-pressure nitrogen, liquid nitrogen, argon, blast, new water, industrial water, softened water, desalted water; carbon-free materials for calculating indirect carbon emissions include quicklime, slaked lime, light-burned dolomite, sintered ore, pelletized ore, blast furnace slag, steel slag, ammonia water, and hydrogen.

[0078] In a specific embodiment, in the above step S103, after the emission sources are determined, the emission sources may be further classified, optionally into fuel combustion emissions, industrial process emissions, scope 2 emissions, and scope 3 emissions.

[0079] In a specific embodiment, in the above step S104, the emission factor of each emission source is determined by the actual measurement method.

[0080] In a specific embodiment, in the above step S105, the target loss is recorded as L, then AB-(DC)=Σa j -Σb j +L;

[0081] in,

[0082] A represents the target organization input corresponding to the target emission source; the target organization input is the input corresponding to the target emission source in the organization input;

[0083] B represents the target organizational output corresponding to the target emission source; the target organizational output is the output corresponding to the target emission source in the organizational output;

[0084] C represents the starting inventory of the target statistical period corresponding to the target emission source; the starting inventory of the target statistical period is the starting inventory corresponding to the target emission source in the starting inventory of the statistical period corresponding to each unit;

[0085] D represents the target emission source’s end-of-target statistical period inventory; the target statistical period end-of-target statistical period inventory is the end-of-target statistical period inventory corresponding to each unit and corresponding to the target emission source;

[0086] a j represents the target emission source consumption of the j-th unit; the target emission source consumption of the j-th unit is the consumption corresponding to the target emission source in the unit consumption corresponding to the j-th unit;

[0087] b j represents the target emission source recovery amount of the j-th unit; the target emission source recovery amount of the j-th unit is the recovery amount corresponding to the target emission source in the unit recovery amount corresponding to the j-th unit;

[0088] j is a positive integer.

[0089] In a specific embodiment, in the above step S106, if the target loss does not meet the preset condition, the accuracy of the meter should be checked. The optional preset condition can be set as the target loss does not exceed 3% of the sum of the target emission source consumption of each unit. If it exceeds 3%, the accuracy of the meter should be checked.

[0090] The unit carbon emission corresponding to the jth unit is recorded as e j ,but

[0091] e j =Σ(a ij ×EF ij ×ka ij )-Σ(b ij ×EF ij ×kb ij );

[0092] in,

[0093] a ij represents the consumption of the i-th emission source corresponding to the j-th unit; the consumption of the i-th emission source corresponding to the j-th unit is the consumption corresponding to the i-th emission source in the unit consumption corresponding to the j-th unit;

[0094] b ij represents the recovery amount of the i-th emission source corresponding to the j-th unit; the recovery amount of the i-th emission source corresponding to the j-th unit is the recovery amount corresponding to the i-th emission source in the unit recovery amount corresponding to the j-th unit;

[0095] EF ij Indicates the emission factor of the i-th emission source corresponding to the j-th unit;

[0096] ka ij and kbij is the calculation coefficient; when the i-th emission source corresponding to the j-th unit is included in the carbon emission calculation, it is recorded as 1, and when it is not included in the carbon emission calculation, it is recorded as 0;

[0097] i is a positive integer.

[0098] If the jth unit has a certain product and the product is single, the output of the jth unit is recorded as o j , the unit carbon emission intensity corresponding to the jth unit is recorded as E j , then E j =e j / o j .

[0099] When the jth unit has a certain product and there are n products, the unit carbon emission corresponding to the jth unit is recorded as e jk ,but

[0100] e jn =Σ(a ijn ×EF ijn ×ka ijn )-Σ(b ijn ×EF ijn ×kb ijn );

[0101] in,

[0102] a ijn represents the consumption of the ith emission source corresponding to the nth product in the jth unit; the consumption of the ith emission source corresponding to the nth product in the jth unit is the consumption corresponding to the ith emission source of the nth product in the unit consumption corresponding to the jth unit;

[0103] b ijn represents the recovery amount of the ith emission source corresponding to the nth product in the jth unit; the recovery amount of the ith emission source corresponding to the nth product in the jth unit is the recovery amount corresponding to the ith emission source of the nth product in the unit recovery amount corresponding to the jth unit;

[0104] EF ijn It represents the emission factor of the ith emission source corresponding to the nth product in the jth unit;

[0105] ka ijn and kb ijn is the calculation coefficient; when the ith emission source corresponding to the nth product in the jth unit is included in the carbon emission calculation, it is recorded as 1; when it is not included in the carbon emission calculation, it is recorded as 0;

[0106] n>1, and n is a positive integer.

[0107] The output of the nth product of the jth unit is recorded as o jn The unit carbon emission intensity of the nth product in the unit carbon emission intensity corresponding to the jth unit is recorded as E jn , then E jn =e jn / o jn .

[0108] Let the carbon emissions of the organization be e, then

[0109] e=Σ((A i -B i -(D i -C i ))×EF i ×k i );

[0110] in,

[0111] A i It represents the input of the ith emission source in the organization; the input of the ith emission source is the input corresponding to the ith emission source in the organization’s input;

[0112] B i Represents the output of the i-th emission source in the organization; the output of the i-th emission source is the output corresponding to the i-th emission source in the organization's output;

[0113] C i It represents the starting inventory of the ith emission source in the organization; the starting inventory of the ith emission source is the starting inventory corresponding to the ith emission source in the starting inventory of the statistical period corresponding to each unit;

[0114] D i It represents the ending inventory of the i-th emission source in the organization; the ending inventory of the i-th emission source is the ending inventory corresponding to the i-th emission source in the ending inventory of the statistical period corresponding to each unit;

[0115] EF i represents the emission factor of the ith emission source in the organization;

[0116] k i It is the calculation coefficient; it is recorded as 1 when the i-th emission source is included in the carbon emission calculation, and it is recorded as 0 when it is not included in the carbon emission calculation.

[0117] When an organization has certain products, the product output of the organization is recorded as o, and the carbon emission intensity of the organization is recorded as E, then E = e / o. Furthermore, E can be used as the carbon emission performance of the organization.

[0118] In a specific embodiment, historical data can be used to obtain the historical average, historical baseline and historical advanced values ​​of the carbon performance of the organization and each unit for comparison, to find the emission sources that cause significant changes in carbon emission performance and analyze the reasons. The carbon emission performance of the organization and each unit in this statistical period is compared with similar limits, similar averages and advanced values, to find the emission sources that cause significant differences in carbon emission performance and analyze the reasons. In addition, for various fixed asset investment projects of the organization, the changes in the carbon emission sources and carbon emissions of the organization and each unit caused by them can be analyzed, and the carbon emission performance of the organization and each unit can be further predicted.

[0119] It can be seen from the above technical solutions of the embodiments of the present application that in the embodiments of the present application, the material and energy balance of the organization and the unit is established with emission sources and units as two dimensions, and the carbon emissions and carbon emission performance of the organization and the unit are obtained through the product output of the organization and each unit, the emission factor of each emission source, and the carbon emissions of each emission source. Through the carbon calculation results of the organization and the unit, the organizational level and process level data of the process manufacturing enterprise are obtained, thereby solving the problem of performance analysis and prediction, and establishing a rigorous mathematical connection between organizations, units, products, and between local specific carbon reduction measures and overall carbon reduction effects, which can improve the accuracy of organizational carbon emission calculations and performance predictions.

[0120] In addition, historical data can be used to obtain the historical average, historical benchmark and historical advanced values ​​of the carbon performance of the organization and each unit for comparison, to find the emission sources that have caused significant changes in carbon emission performance and analyze the reasons. The carbon emission performance of the organization and each unit in this statistical period is compared with similar limits, similar averages and advanced values, to find the emission sources that have caused significant differences in carbon emission performance and analyze the reasons. And for various fixed asset investment projects of the organization, the changes in the carbon emission sources and carbon emissions of the organization and each unit caused by them can be analyzed, and the carbon emission performance of the organization and each unit can be further predicted.

[0121] Corresponding to the organizational carbon emission calculation and performance prediction method provided in the above-mentioned embodiment, the embodiment of the present application also provides an organizational carbon emission calculation and performance prediction system. Since the organizational carbon emission calculation and performance prediction system provided in the embodiment of the present application corresponds to the organizational carbon emission calculation and performance prediction method provided in the above-mentioned embodiment, the implementation method of the aforementioned organizational carbon emission calculation and performance prediction method is also applicable to the organizational carbon emission calculation and performance prediction system provided in this embodiment, and will not be described in detail in this embodiment.

[0122] See also Figure 2 , which is a structural block diagram of an organizational carbon emission calculation and performance prediction system provided in an embodiment of the present application; the system includes:

[0123] 001: Division module, used to divide the organization into multiple independent units;

[0124] 002: Collection module, used to collect information on organizational materials that can generate carbon emissions and are input and output through the organization's boundaries during a preset statistical period, as well as information on unit materials that can generate carbon emissions and are consumed and recycled by each unit within the organization;

[0125] 003: Emission source determination module, used to determine the emission source corresponding to each unit material information;

[0126] 004: Emission factor determination module, used to determine the emission factor corresponding to each emission source;

[0127] 005: Target loss amount determination module, used to determine the target loss amount corresponding to the target emission source based on the collected organizational material information and each unit material information; the target emission source is any one of the emission sources;

[0128] 006: A calculation module, used to determine the unit carbon emissions of each unit based on the emission factor when the target loss amount meets the preset conditions, and determine the unit carbon emission intensity of each unit based on the carbon emissions of each unit when each unit is determined to have a product; and to determine the organizational carbon emissions of the organization based on the emission factor when the target loss amount meets the preset conditions, and determine the organizational carbon emission intensity of the organization based on the organizational carbon emissions when the organization is determined to have a product, and use the organizational carbon emission intensity as the organizational carbon emission performance of the organization; the preset condition is that the target loss amount does not exceed a preset percentage of the sum of the target emission source consumption of each unit, and the target emission source consumption is determined based on the organizational material information or the unit material information.

[0129] In a specific embodiment, the system further comprises:

[0130] The maintenance module is used to check the accuracy of the meter when the target loss does not meet the preset conditions.

[0131] It should be noted that the system provided in the above embodiment, when implementing its functions, is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0132] The organizational carbon emissions calculation and performance prediction system of the embodiment of the present application takes emission sources and units as two dimensions, establishes the material and energy balance of organizations and units, and obtains the carbon emissions and carbon emission performance of organizations and units through the output of products of the organization and each unit, the emission factors of each emission source, and the carbon emissions of each emission source. Through the carbon calculation results of organizations and units, the organizational level and process level data of process manufacturing enterprises are obtained, thereby solving the problem of performance analysis and prediction, and establishing a rigorous mathematical connection between organizations, units, products, and between local specific carbon reduction measures and overall carbon reduction effects, which can improve the accuracy of organizational carbon emissions calculations and performance predictions.

[0133] In addition, historical data can be used to obtain the historical average, historical benchmark and historical advanced values ​​of the carbon performance of the organization and each unit for comparison, to find the emission sources that have caused significant changes in carbon emission performance and analyze the reasons. The carbon emission performance of the organization and each unit in this statistical period is compared with similar limits, similar averages and advanced values, to find the emission sources that have caused significant differences in carbon emission performance and analyze the reasons. And for various fixed asset investment projects of the organization, the changes in the carbon emission sources and carbon emissions of the organization and each unit caused by them can be analyzed, and the carbon emission performance of the organization and each unit can be further predicted.

[0134] An embodiment of the present application also provides an electronic device, including a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the method for calculating and predicting organizational carbon emissions and performance as provided in the above method embodiment.

[0135] The memory can be used to store software programs and modules. The processor executes various functional applications and realizes high-level autonomous driving by running the software programs and modules stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, application programs required for functions, etc.; the data storage area may store data created according to the use of the device, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device. Accordingly, the memory may also include a memory controller to provide the processor with access to the memory.

[0136] The method embodiments provided in the embodiments of the present application may be executed in a computer terminal, a server or a similar computing device, that is, the above-mentioned electronic device may include a computer terminal, a server or a similar computing device.

[0137] Figure 3is a hardware structure block diagram of an electronic device for running an organizational carbon emission calculation and performance prediction method provided in an embodiment of the present application, such as Figure 3 As shown, the internal structure of the electronic device may include but is not limited to: a processor, a network interface and a memory. The processor, network interface and memory in the electronic device may be connected via a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0138] Among them, the processor (or CPU (Central Processing Unit)) is the computing core and control core of the electronic device. The network interface may optionally include a standard wired interface, a wireless interface (such as WI-FI, a mobile communication interface, etc.). Memory is a memory device in an electronic device for storing programs and data. It is understandable that the memory here can be a high-speed RAM storage device or a non-volatile memory device (non-volatile memory), such as at least one disk storage device; optionally, it can also be at least one storage device located away from the aforementioned processor. The memory provides a storage space, which stores the operating system of the electronic device, which may include but is not limited to: Windows system (an operating system), Linux (an operating system), Android (Android, a mobile operating system) system, IOS (a mobile operating system) system, etc., and this application does not limit this; and, in the storage space, one or more instructions suitable for being loaded and executed by the processor are also stored, and these instructions may be one or more computer programs (including program codes). In the embodiment of this specification, the processor loads and executes one or more instructions stored in the memory to implement the organizational carbon emission calculation and performance prediction method provided in the above method embodiment.

[0139] An embodiment of the present application also provides a computer-readable storage medium, in which at least one instruction or at least one program is stored, and the at least one instruction or at least one program is loaded and executed by a processor to implement the organizational carbon emissions calculation and performance prediction method provided in the method embodiment.

[0140] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0141] It should be noted that the above-mentioned sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. And the above describes a specific embodiment of this specification. Other embodiments are within the scope of the attached claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-small sample image classification and parallel processing are also possible or may be advantageous.

[0142] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0143] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0144] The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for calculating and predicting the carbon emissions of an organization, characterized in that: include: Divide the organization into multiple independent units; Collecting information on organizational materials that can generate carbon emissions and are input and output through the boundaries of the organization during a preset statistical period, as well as information on unit materials that can generate carbon emissions and are consumed and recycled by each unit within the organization; Determine the emission source corresponding to each unit material information; Determine the emission factors corresponding to each of the emission sources; Based on the collected tissue material information and each of the unit material information, determine the target loss amount corresponding to the target emission source; the target emission source is any one of the emission sources; In the case where the target loss amount meets the preset conditions, the unit carbon emission amount of each of the units is determined based on the emission factor, and in the case where each of the units is determined to have a product, the unit carbon emission intensity of each of the units is determined based on the unit carbon emission amount; And when the target loss amount meets the preset conditions, the organizational carbon emissions of the organization are determined based on the emission factors, and when the organization determines that there are products, the organizational carbon emission intensity of the organization is determined based on the organizational carbon emissions, and the organizational carbon emission intensity is used as the organizational carbon emission performance of the organization; The preset condition is that the target loss amount does not exceed a preset percentage of the sum of the target emission source consumption amounts of each of the units, and the target emission source consumption amount is determined based on the organizational material information or the unit material information.

2. The method for calculating and predicting the carbon emissions of an organization according to claim 1, characterized in that: The organizational material information includes organizational input quantity and organizational output quantity; the unit material information includes unit consumption quantity, unit recovery quantity, inventory quantity at the beginning of the statistical period, and inventory quantity at the end of the statistical period.

3. The method for calculating and predicting the carbon emissions of an organization according to claim 2, characterized in that: Let the target loss be L, then AB-(DC)=Σa j -Σb j +L; in, A represents the target organization input corresponding to the target emission source; the target organization input is the input corresponding to the target emission source in the organization input; B represents the target tissue output corresponding to the target emission source; the target tissue output is the output corresponding to the target emission source in the tissue output; C represents the starting inventory of the target statistical period corresponding to the target emission source; the starting inventory of the target statistical period is the starting inventory corresponding to the target emission source in the starting inventory of the statistical period corresponding to each of the units; D represents the target statistical period end inventory corresponding to the target emission source; the target statistical period end inventory is the end inventory corresponding to the target emission source in the statistical period end inventory corresponding to each unit; a j represents the target emission source consumption of the j-th unit; the target emission source consumption of the j-th unit is the consumption corresponding to the target emission source in the unit consumption corresponding to the j-th unit; b j represents the target emission source recovery amount of the j-th unit; the target emission source recovery amount of the j-th unit is the recovery amount corresponding to the target emission source in the unit recovery amount corresponding to the j-th unit; j is a positive integer.

4. The method for calculating and predicting the carbon emissions of an organization according to claim 3, characterized in that: The carbon emission of the jth unit is recorded as e j ,but e j =Σ(a ij ×EF ij ×ka ij )-Σ(b ij ×EF ij ×kb ij ); in, a ij represents the consumption of the i-th emission source corresponding to the j-th unit; the consumption of the i-th emission source corresponding to the j-th unit is the consumption corresponding to the i-th emission source in the unit consumption corresponding to the j-th unit; b ij represents the recovery amount of the i-th emission source corresponding to the j-th unit; the recovery amount of the i-th emission source corresponding to the j-th unit is the recovery amount corresponding to the i-th emission source in the unit recovery amount corresponding to the j-th unit; EF ij Indicates the emission factor of the i-th emission source corresponding to the j-th unit; ka ij and kb ij is the calculation coefficient; when the i-th emission source corresponding to the j-th unit is included in the carbon emission calculation, it is recorded as 1, and when it is not included in the carbon emission calculation, it is recorded as 0; i is a positive integer.

5. The method for calculating and predicting the carbon emissions of an organization according to claim 4, characterized in that: If the jth unit has a certain product and the product is single, the output of the jth unit is recorded as o j , the carbon emission intensity of the jth unit is recorded as E j , then E j =e j / o j .

6. The method for calculating and predicting the carbon emissions of an organization according to claim 4, characterized in that: When the jth unit has a certain product and there are n products, the carbon emission of the jth unit is recorded as e jk ,but e jn =Σ(a ijn ×EF ijn ×ka ijn )-Σ(b ijn ×EF ijn ×kb ijn ); in, a ijn represents the consumption of the i-th emission source corresponding to the n-th product in the j-th unit; the consumption of the i-th emission source corresponding to the n-th product in the j-th unit is the consumption corresponding to the i-th emission source of the n-th product in the unit consumption corresponding to the j-th unit; b ijn represents the recovery amount of the ith emission source corresponding to the nth product in the jth unit; the recovery amount of the ith emission source corresponding to the nth product in the jth unit is the recovery amount corresponding to the ith emission source of the nth product in the unit recovery amount corresponding to the jth unit; EF ijn It represents the emission factor of the ith emission source corresponding to the nth product in the jth unit; ka ijn and kb ijn is the calculation coefficient; when the ith emission source corresponding to the nth product in the jth unit is included in the carbon emission calculation, it is recorded as 1; when it is not included in the carbon emission calculation, it is recorded as 0; n>1, and n is a positive integer.

7. The method for calculating and predicting the carbon emissions of an organization according to claim 6, characterized in that: The output of the nth product of the jth unit is recorded as o jn The unit carbon emission intensity of the nth product in the unit carbon emission intensity corresponding to the jth unit is recorded as E jn , then E jn =e jn / o jn .

8. The method for calculating and predicting the carbon emissions of an organization according to claim 3, characterized in that: Let the carbon emissions of the organization be e, then e=Σ((A i -B i -(D i -C i )) × EF i × k i ): in, A i represents the input amount of the i-th emission source in the organization; the input amount of the i-th emission source is the input amount corresponding to the i-th emission source in the organization's input amount; B i represents the output of the i-th emission source in the organization; the output of the i-th emission source is the output corresponding to the i-th emission source in the output of the organization; C i represents the starting inventory of the ith emission source in the organization; the starting inventory of the ith emission source is the starting inventory corresponding to the ith emission source in the starting inventory of the statistical period corresponding to each of the units; D i represents the ending inventory of the i-th emission source in the organization; the ending inventory of the i-th emission source is the ending inventory corresponding to the i-th emission source in the ending inventory of the statistical period corresponding to each of the units; EF i represents the emission factor of the ith emission source in the organization; k i It is the calculation coefficient; it is recorded as 1 when the i-th emission source is included in the carbon emission calculation, and it is recorded as 0 when it is not included in the carbon emission calculation.

9. The method for calculating and predicting the carbon emissions of an organization according to claim 8, characterized in that: When the organization has a certain product, the product output of the organization is recorded as o, and the carbon emission intensity of the organization is recorded as E, then E=e / o.

10. An organizational carbon emissions calculation and performance prediction system, characterized in that: The system comprises: A partitioning module is used to divide the organization into multiple independent units; A collection module, used to collect information on organizational materials that can generate carbon emissions and are input and output through the boundaries of the organization during a preset statistical period, as well as information on unit materials that can generate carbon emissions and are consumed and recycled by each unit within the organization; An emission source determination module, used to determine the emission source corresponding to each unit material information; An emission factor determination module, used to determine the emission factor corresponding to each of the emission sources; A target loss amount determination module is used to determine the target loss amount corresponding to the target emission source based on the collected tissue material information and each of the unit material information; the target emission source is any one of the emission sources; A calculation module is used to determine the unit carbon emissions of each of the units based on the emission factor when the target loss amount meets the preset conditions, and determine the unit carbon emission intensity of each of the units based on the unit carbon emissions when each of the units is determined to have products; and to determine the organizational carbon emissions of the organization based on the emission factor when the target loss amount meets the preset conditions, and determine the organizational carbon emission intensity of the organization based on the organizational carbon emissions when the organization is determined to have products, and use the organizational carbon emission intensity as the organizational carbon emission performance of the organization; the preset condition is that the target loss amount does not exceed a preset percentage of the sum of the target emission source consumption of each of the units, and the target emission source consumption is determined based on the organizational material information or the unit material information.

11. An electronic device, characterized in that: It includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the organizational carbon emission calculation and performance prediction method as described in any one of claims 1 to 9.

12. A computer-readable storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the method for calculating and predicting the carbon emissions of an organization as described in any one of claims 1 to 9.

Images