Method for evaluating garbage classification carbon emission reduction by using comprehensive data
By summarizing and analyzing the energy consumption and oxidation rate data of garbage, calculating the difference in carbon emission intensity, trace the composition of high-carbon waste and analyzing influencing factors, the problem of large error in waste carbon emission assessment in the existing technology is solved, and more accurate and Intuitive assessment of carbon emission reduction in waste classification.
Patent Information
- Application Number
- CN202410601460.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-15
- Publication Date
- 2024-12-13
AI Technical Summary
The existing waste carbon emission intensity assessment method relies on carbon dioxide concentration monitoring, resulting in large errors and lack of data comparison and analysis of waste classification and treatment, which affects the accuracy and intuitiveness of carbon emission reduction assessment.
By obtaining the garbage classification table, we summarize the basic data of energy consumption, low-level calorie generation, carbon content per unit calorific value and energy oxidation rate, calculate the intensity of waste carbon emissions, perform classification and treatment, analyze the difference in carbon emissions intensity, and trace the high-carbon waste Components and control variables, draw a line chart to analyze influencing factors.
The intuitiveness and data support of the evaluation of carbon emission reduction in waste classification have been achieved, the accuracy and visualization of carbon emission reduction assessment have been improved, and detailed analysis of carbon emission factors have been provided.
Smart Images

Figure CN119129877A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of carbon emission reduction assessment, and in particular to a method for evaluating carbon emission reduction by garbage classification using comprehensive data. Background Art
[0002] With the development of industrialization, the economies of countries around the world have achieved rapid growth, but the environmental problems caused by this have become a common challenge facing the world. The trend of global warming has further intensified and has gradually become one of the hot spots of international concern. Excessive greenhouse gas emissions are regarded as the main factor of global warming, leading to global warming, rising sea levels and increasing natural disasters, which have had an adverse impact on the ecological environment and sustainable economic development.
[0003] The existing garbage carbon emission intensity assessment relies on the monitoring of carbon dioxide concentration, but in fact the garbage carbon emission intensity analysis is also related to energy consumption, low calorific value, carbon content per unit calorific value and energy oxidation rate, which leads to large errors in garbage carbon emission reduction assessment. In addition, there is a lack of data comparison of garbage classification and processing, which affects the judgment of the overall data. There is a lack of analysis of the influencing factors of garbage carbon emission intensity, which leads to insufficient data support for subsequent garbage classification and processing, and the garbage classification carbon emission reduction assessment lacks intuitiveness. To this end, the present invention proposes a method for garbage classification carbon emission reduction assessment using comprehensive data to solve the above-mentioned problems. Summary of the invention
[0004] 1. Technical issues to be resolved
[0005] In view of the shortcomings of the prior art, the present invention provides a method for evaluating carbon emission reduction through garbage classification using comprehensive data, which solves the problems mentioned in the above background technology.
[0006] (II) Technical solution
[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for evaluating carbon emission reduction by garbage classification using comprehensive data, specifically comprising the following steps:
[0008] Obtaining a garbage classification table, collecting basic data on carbon emission reduction of different types of garbage according to the garbage classification table, and then summarizing a number of basic data, wherein the basic data includes energy consumption, low calorific value, carbon content per unit calorific value, and oxidation rate of energy;
[0009] Calculating the carbon emission intensity of garbage based on the summarized basic data;
[0010] Classify the garbage, obtain the carbon emission intensity of the garbage after classification, and calculate the carbon emission intensity after classification and the carbon emission intensity before classification;
[0011] Evaluate the carbon emission reduction of garbage sorting based on the difference in carbon emission intensity data;
[0012] Obtain the types of garbage with high carbon emission intensity, trace the composition of the garbage, and perform control variable processing on the garbage composition in turn;
[0013] The influencing factors of carbon emission intensity are analyzed based on the garbage processed according to the control variables.
[0014] As an improved technical solution, the specific method of calculating the carbon emission intensity of garbage based on the basic data is:
[0015] First, the garbage is divided into several categories and marked as j, then the energy consumption corresponding to the j-type garbage is marked as Ej, then the average low calorific value of the j-type garbage is marked as DG, then the unit calorific value carbon content of the j-type garbage is marked as Cj, and then the energy oxidation rate of the j-type garbage is marked as Fj;
[0016] The coefficient for converting carbon to CO2 is then labeled k and calculated using the following formula: Among them, P is the carbon emission intensity of garbage.
[0017] As an improved technical solution, when the coefficient of carbon conversion into CO2 is marked as k, the implementation standard of k is 3.67, wherein the implementation standard of the energy oxidation rate Fj is 1.
[0018] As an improved technical solution, the carbon emission intensity data is obtained, the average value of the data is calculated, and invalid values are eliminated. The specific method is:
[0019] First, several emission intensity data are marked as P1-PS, then threshold values are set according to the data P1-PS and marked as (SA, SB), and then the data P1-PS is The data of (SA, SB) are eliminated, and the eliminated data are marked as Tj, where j is the sequence number of the eliminated data;
[0020] Then refer to the calculation formula: Where W is the average value of carbon emission intensity data.
[0021] As an improved technical solution, the specific method of evaluating the carbon emission reduction of garbage classification according to the difference value of the carbon emission intensity data is:
[0022] First, the carbon emission intensity of j types of garbage is calculated in sequence, namely P1, P1, ..., Pj, and then the carbon emission intensity of j types of garbage is summed up, that is, P 总 =P1+P1+, ..., +Pj, and then the calculated garbage carbon emission intensity P and P总 Make comparisons and evaluate the carbon emission reduction of garbage sorting.
[0023] As an improved technical solution, the calculated garbage carbon emission intensity P and P 总 The specific method for comparing and evaluating the carbon emission reduction assessment of garbage classification is as follows:
[0024] Reference calculation formula: If 0≤S≤10%, the carbon emission reduction assessment of waste classification is average; if 10%<S≤20%, the carbon emission reduction assessment of waste classification is good; if S>20%, the carbon emission reduction assessment of waste classification is excellent.
[0025] As an improved technical solution, the specific method of analyzing the influencing factors of carbon emission intensity of the garbage processed according to the control variables is:
[0026] Mark the garbage with the highest carbon emission intensity as GH, then divide the components in GH into several types and record them as n, then reduce one of the types n in turn, calculate GH again, and mark the result of each calculation as GHn;
[0027] The calculation results are plotted into a line graph, and the curvature of the line graph is analyzed, which is recorded as L. The position where L changes in a broken line is the component that has the highest impact on carbon emission intensity.
[0028] As an improved technical solution, the changing curvature of the analysis line graph is such that the position where L changes in a broken line is the component with the highest impact on carbon emission intensity. If L changes in a broken line in multiple places, then there are multiple components that affect carbon emission intensity.
[0029] (III) Beneficial effects
[0030] The present invention provides a method for evaluating carbon emission reduction by garbage classification using comprehensive data. Compared with the prior art, it has the following beneficial effects:
[0031] This method of using comprehensive data to evaluate carbon emission reduction from garbage sorting calculates the carbon emission intensity of garbage based on the summarized basic data, then sorts the garbage, and calculates the carbon emission intensity after classification and the carbon emission intensity before classification. It can intuitively evaluate the carbon emission reduction from garbage sorting based on the difference in carbon emission intensity data, and at the same time analyze the influencing factors of garbage carbon emission intensity using the control variable method, providing data support for subsequent garbage sorting and processing. The use of comprehensive data analysis makes the carbon emission reduction evaluation from garbage sorting more intuitive. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 A flow chart of a method for evaluating carbon emission reduction by garbage classification using comprehensive data as shown in an embodiment of the present application;
[0033] Figure 2 This is a schematic diagram of the structure of an electronic device shown in an embodiment of the present application. DETAILED DESCRIPTION
[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0035] See also Figure 1-Figure 2 , the embodiment of the present invention provides four technical solutions:
[0036] Embodiment 1
[0037] A method for evaluating carbon emission reduction by garbage sorting using comprehensive data specifically comprises the following steps:
[0038] Obtain a garbage classification table, collect basic data on carbon emission reduction for different types of garbage based on the garbage classification table, and then summarize several basic data, including energy consumption, low calorific value, carbon content per unit calorific value, and oxidation rate of energy;
[0039] The carbon emission intensity of garbage is calculated based on the summarized basic data; the specific method of calculating the carbon emission intensity of garbage based on the basic data is:
[0040] First, the garbage is divided into several categories and marked as j, then the energy consumption corresponding to the j-type garbage is marked as Ej, then the average low calorific value of the j-type garbage is marked as DG, then the unit calorific value carbon content of the j-type garbage is marked as Cj, and then the energy oxidation rate of the j-type garbage is marked as Fj;
[0041] The coefficient for converting carbon to CO2 is then labeled k and calculated using the following formula: Among them, P is the carbon emission intensity of garbage.
[0042] When the coefficient of carbon conversion to CO2 is marked as k, the implementation standard of k is 3.67, among which the implementation standard of energy oxidation rate Fj is 1.
[0043] Obtain carbon emission intensity data, calculate the average value of the data, and remove invalid values. The specific method is as follows:
[0044] First, several emission intensity data are marked as P1-PS, then threshold values are set according to the data P1-PS and marked as (SA, SB), and then the data P1-PS is The data of (SA, SB) are eliminated, and the eliminated data are marked as Tj, where j is the sequence number of the eliminated data;
[0045] Then refer to the calculation formula: Where W is the average value of carbon emission intensity data.
[0046] Classify the garbage, obtain the carbon emission intensity of the garbage after classification, and calculate the carbon emission intensity after classification and the carbon emission intensity before classification;
[0047] The carbon emission reduction of garbage classification is evaluated based on the difference in carbon emission intensity data. The specific method of evaluating the carbon emission reduction of garbage classification based on the difference in carbon emission intensity data is as follows:
[0048] First, the carbon emission intensity of j types of garbage is calculated in sequence, namely P1, P1, ..., Pj, and then the carbon emission intensity of j types of garbage is summed up, that is, P 总 =P1+P1+, ..., +Pj, and then the calculated garbage carbon emission intensity P and P 总 Make comparisons and evaluate the carbon emission reduction of garbage sorting.
[0049] The calculated garbage carbon emission intensity P and P 总 The specific method for comparing and evaluating the carbon emission reduction assessment of garbage classification is as follows:
[0050] Reference calculation formula: If 0≤S≤10%, the carbon emission reduction assessment of waste classification is average; if 10%<S≤20%, the carbon emission reduction assessment of waste classification is good; if S>20%, the carbon emission reduction assessment of waste classification is excellent.
[0051] Obtain the types of garbage with high carbon emission intensity, trace the composition of the garbage, and perform control variable processing on the garbage composition in turn;
[0052] The specific method of analyzing the influencing factors of carbon emission intensity based on the garbage treated with control variables is as follows:
[0053] Mark the garbage with the highest carbon emission intensity as GH, then divide the components in GH into several types and record them as n, then reduce one of the types n in turn, calculate GH again, and mark the result of each calculation as GHn;
[0054] The calculation results are plotted into a line graph, and the curvature of the line graph is analyzed, which is recorded as L. The position where L changes in a broken line is the component that has the highest impact on carbon emission intensity.
[0055] Analyze the curvature of the line graph. The position where L changes in a broken line is the component with the highest impact on carbon emission intensity. If L changes in a broken line in multiple places, there are multiple components that affect carbon emission intensity.
[0056] Embodiment 2
[0057] A method for evaluating carbon emission reduction by garbage sorting using comprehensive data specifically comprises the following steps:
[0058] Obtain a garbage classification table, collect basic data on carbon emission reduction for different types of garbage based on the garbage classification table, and then summarize several basic data, including energy consumption, low calorific value, carbon content per unit calorific value, and oxidation rate of energy;
[0059] The carbon emission intensity of garbage is calculated based on the summarized basic data; the specific method of calculating the carbon emission intensity of garbage based on the basic data is:
[0060] First, the garbage is divided into several categories and marked as j, then the energy consumption corresponding to the j-type garbage is marked as Ej, then the average low calorific value of the j-type garbage is marked as DG, then the unit calorific value carbon content of the j-type garbage is marked as Cj, and then the energy oxidation rate of the j-type garbage is marked as Fj;
[0061] The coefficient for converting carbon to CO2 is then labeled k and calculated using the following formula: Among them, P is the carbon emission intensity of garbage.
[0062] When the coefficient of carbon conversion to CO2 is marked as k, the implementation standard of k is 3.67, among which the implementation standard of energy oxidation rate Fj is 1.
[0063] Obtain carbon emission intensity data, calculate the average value of the data, and remove invalid values. The specific method is as follows:
[0064] First, several emission intensity data are marked as P1-PS, then threshold values are set according to the data P1-PS and marked as (SA, SB), and then the data P1-PS is The data of (SA, SB) are eliminated, and the eliminated data are marked as Tj, where j is the sequence number of the eliminated data;
[0065] Then refer to the calculation formula: Where W is the average value of carbon emission intensity data.
[0066] Classify the garbage, obtain the carbon emission intensity of the garbage after classification, and calculate the carbon emission intensity after classification and the carbon emission intensity before classification;
[0067] The carbon emission reduction of garbage classification is evaluated based on the difference in carbon emission intensity data. The specific method of evaluating the carbon emission reduction of garbage classification based on the difference in carbon emission intensity data is as follows:
[0068] First, the carbon emission intensity of j types of garbage is calculated in sequence, namely P1, P1, ..., Pj, and then the carbon emission intensity of j types of garbage is summed up, that is, P 总 =P1+P1+, ..., +Pj, and then the calculated garbage carbon emission intensity P and P 总 Make comparisons and evaluate the carbon emission reduction of garbage sorting.
[0069] The calculated garbage carbon emission intensity P and P 总 The specific method for comparing and evaluating the carbon emission reduction assessment of garbage classification is as follows:
[0070] Reference calculation formula: If 0≤S≤10%, the carbon emission reduction assessment of waste classification is average; if 10%<S≤20%, the carbon emission reduction assessment of waste classification is good; if S>20%, the carbon emission reduction assessment of waste classification is excellent.
[0071] Embodiment 3
[0072] A method for evaluating carbon emission reduction by garbage sorting using comprehensive data specifically comprises the following steps:
[0073] Obtain a garbage classification table, collect basic data on carbon emission reduction for different types of garbage based on the garbage classification table, and then summarize several basic data, including energy consumption, low calorific value, carbon content per unit calorific value, and oxidation rate of energy;
[0074] Calculate the carbon emission intensity of garbage based on the aggregated basic data;
[0075] Classify the garbage, obtain the carbon emission intensity of the garbage after classification, and calculate the carbon emission intensity after classification and the carbon emission intensity before classification;
[0076] Evaluate carbon emission reduction by garbage sorting based on the difference in carbon emission intensity data;
[0077] Obtain the types of garbage with high carbon emission intensity, trace the composition of the garbage, and perform control variable processing on the garbage composition in turn;
[0078] Analyze the influencing factors of carbon emission intensity based on the garbage treated by control variables.
[0079] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.
[0080] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0081] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
[0082] Embodiment 4
[0083] Corresponding to the aforementioned application function implementation method embodiment, the present application also provides an electronic device and corresponding embodiments.
[0084] See also Figure 2 , the electronic device 1000 includes a memory 1010 and a processor 1020 .
[0085] The processor 1020 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.
[0086] The memory 1010 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. Among them, ROM can store static data or instructions required by the processor 1020 or other modules of the computer. The permanent storage device may be a readable and writable storage device. The permanent storage device may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at run time. In addition, the memory 1010 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory 1010 may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (such as a DVD-ROM, a double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (such as an SD card, a mini SD card, a Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include carrier waves and transient electronic signals transmitted wirelessly or wired.
[0087] The memory 1010 stores executable codes, and when the executable codes are processed by the processor 1020 , the processor 1020 can execute part or all of the methods described above.
[0088] The scheme of the present application has been described in detail above with reference to the accompanying drawings. In the above embodiments, the description of each embodiment has its own emphasis. For the part that is not described in detail in a certain embodiment, refer to the relevant description of other embodiments. Those skilled in the art should also know that the actions and modules involved in the description are not necessarily required for the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application can be adjusted in order, merged and deleted according to actual needs, and the modules in the device of the embodiment of the present application can be merged, divided and deleted according to actual needs.
[0089] In addition, the method according to the present application may also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application.
[0090] Alternatively, the present application can also be implemented as a non-temporary machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) on which executable code (or computer program, or computer instruction code) is stored. When the executable code (or computer program, or computer instruction code) is executed by a processor of an electronic device (or electronic device, server, etc.), the processor executes part or all of the steps of the above-mentioned method according to the present application.
[0091] Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the application herein may be implemented as electronic hardware, computer software, or combinations of both.
[0092] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system and method according to multiple embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a part of a module, a program segment or a code, and the part of the module, the program segment or the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or the flow chart, and the combination of the square boxes in the block diagram and / or the flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0093] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.
Claims
1. A method for evaluating carbon emission reduction by garbage classification using comprehensive data, characterized by: The specific steps include: Obtaining a garbage classification table, collecting basic data on carbon emission reduction of different types of garbage according to the garbage classification table, and then summarizing a number of basic data, wherein the basic data includes energy consumption, low calorific value, carbon content per unit calorific value, and oxidation rate of energy; Calculating the carbon emission intensity of garbage based on the summarized basic data; Classify the garbage, obtain the carbon emission intensity of the garbage after classification, and calculate the carbon emission intensity after classification and the carbon emission intensity before classification; Evaluate the carbon emission reduction of garbage sorting based on the difference in carbon emission intensity data; Obtain the types of garbage with high carbon emission intensity, trace the composition of the garbage, and perform control variable processing on the garbage composition in turn; The influencing factors of carbon emission intensity are analyzed based on the garbage processed according to the control variables.
2. The method for evaluating carbon emission reduction by garbage classification using comprehensive data according to claim 1, characterized in that: The specific method of calculating the garbage carbon emission intensity based on the basic data is: First, the garbage is divided into several categories and marked as j, then the energy consumption corresponding to the j-type garbage is marked as Ej, then the average low calorific value of the j-type garbage is marked as DG, then the unit calorific value carbon content of the j-type garbage is marked as Cj, and then the energy oxidation rate of the j-type garbage is marked as Fj; The coefficient for converting carbon to CO2 is then labeled k and calculated using the following formula: Among them, P is the carbon emission intensity of garbage.
3. The method for evaluating carbon emission reduction by garbage classification using comprehensive data according to claim 2, characterized in that: When the coefficient of carbon conversion to CO2 is marked as k, the implementation standard of k is 3.67, wherein the implementation standard of the energy oxidation rate Fj is 1.
4. The method for evaluating carbon emission reduction by garbage classification using comprehensive data according to claim 3, characterized in that: The carbon emission intensity data is obtained, the average value of the data is calculated, and invalid values are eliminated. The specific method is: First, several emission intensity data are marked as P1-PS, then threshold values are set according to the data P1-PS and marked as (SA, SB), and then the data P1-PS is The data is removed and marked as Tj, where j is the sequence number of the removed data; Then refer to the calculation formula: Where W is the average value of carbon emission intensity data.
5. The method for evaluating carbon emission reduction by garbage classification using comprehensive data according to claim 1, characterized in that: The specific method of evaluating the carbon emission reduction of garbage classification according to the carbon emission intensity data difference value is: First, the carbon emission intensity of j types of garbage is calculated in sequence, namely P1, P1, ..., Pj, and then the carbon emission intensity of j types of garbage is summed up, that is, P 总 =P1+P1+, ..., +Pj, and then the calculated garbage carbon emission intensity P and P 总 Make comparisons and evaluate the carbon emission reduction of garbage sorting.
6. The method for evaluating carbon emission reduction by garbage classification using comprehensive data according to claim 5, characterized in that: The calculated garbage carbon emission intensity P and P 总 The specific method for comparing and evaluating the carbon emission reduction assessment of garbage classification is as follows: Reference calculation formula: If 0≤S≤10%, the carbon emission reduction assessment of waste classification is average; if 10%<S≤20%, the carbon emission reduction assessment of waste classification is good; if S>20%, the carbon emission reduction assessment of waste classification is excellent.
7. The method for evaluating carbon emission reduction by garbage classification using comprehensive data according to claim 1, characterized in that: The specific method of analyzing the influencing factors of carbon emission intensity of the garbage processed according to the control variables is: Mark the garbage with the highest carbon emission intensity as GH, then divide the components in GH into several types and record them as n, then reduce one of the types n in turn, calculate GH again, and mark the result of each calculation as GHn; The calculation results are plotted into a line graph, and the curvature of the line graph is analyzed, which is recorded as L. The position where L changes in a broken line is the component that has the highest impact on carbon emission intensity.
8. The method for evaluating carbon emission reduction by garbage classification using comprehensive data according to claim 7, characterized in that: When analyzing the changing curvature of the line graph, the position where L changes in a broken line is the component with the highest impact on carbon emission intensity. If L changes in a broken line at multiple locations, then there are multiple components that affect carbon emission intensity.
