Industrial park carbon emission calculation method and system

Abstract

The invention discloses an industrial park carbon emission calculation method and system, and particularly relates to the technical field of carbon emission calculation, and the method comprises the following steps: S1, collecting the energy consumption data of each enterprise in an industrial park, collecting the industrial process emission data, and obtaining the traffic transportation emission data; s2, according to the collected data, calculating the energy consumption, the carbon emission in the industrial process and the carbon emission in the transportation process; s3, integrating the carbon emissions from different sources to obtain the total carbon emission of the industrial park; and S4, analyzing a result. According to the method, data of multiple aspects such as energy consumption, industrial process emission and traffic transportation emission of enterprises in the industrial park are comprehensively considered, the carbon emission data of the industrial park can be accurately calculated and summarized, the accuracy is effectively improved, the limitation of single-factor calculation is avoided, and the calculation efficiency is improved. And the carbon emission condition of the industrial park can be reflected more comprehensively and accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission calculation, and more specifically, to a method and system for calculating carbon emission in an industrial park. Background Art

[0002] The development and progress of industrial technology has not only affected human production and life, but also had a significant impact on climate change and environmental protection. Therefore, carbon emission monitoring can conduct real-time analysis and evaluation of carbon emissions in the production process within the industrial park. It not only helps to form an accurate carbon emission inventory, but also provides emission data reference for enterprises in the industrial park, helping them to specify emission reduction strategies and improve production processes to achieve low-carbon development.

[0003] The Chinese invention patent with application number 202310921212.2 provides an intelligent monitoring method and system for carbon emissions in industrial parks. The method calls the equipment operation data in the industrial park, generates compensation data based on the equipment operation data, inputs the compensation data and the initial carbon emission monitoring results into the carbon emission compensation model, and outputs the carbon emission monitoring results. However, this method only treats the symptoms and not the root cause. The errors in the collected carbon emission data still exist, and it is not known whether the compensated carbon emission data is accurate, and there are large errors.

[0004] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method and system for calculating carbon emissions of an industrial park to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for calculating carbon emissions in an industrial park comprises the following steps:

[0008] Step S1, collecting energy consumption data of each enterprise in the industrial park, collecting industrial process emission data, and obtaining transportation emission data;

[0009] Step S2, calculating the carbon emissions of energy consumption, industrial processes and transportation respectively based on the collected data;

[0010] Step S3, integrating carbon emissions from different sources to obtain the total carbon emissions of the industrial park;

[0011] Step S4, analyzing the results to find out the main sources and influencing factors of carbon emissions;

[0012] Step S5: Generate a carbon emission report.

[0013] In a preferred embodiment, step S2 includes the following specific contents:

[0014] Check missing values ​​in energy consumption data, industrial process emission data, and transportation emission data. For a small number of missing values, use the mean or linear interpolation to fill in and calculate the carbon emissions of energy consumption;

[0015] Identify and handle outliers in the data, choosing to correct, replace, or delete them;

[0016] Calculate the correlation coefficients between energy consumption and industrial process emissions, between energy consumption and transport emissions, and between industrial process emissions and transport emissions;

[0017] The correlation coefficients between all variables form a correlation matrix;

[0018] The formula for calculating carbon emissions from energy consumption is:

[0019]

[0020] Among them, C f Indicates the carbon content coefficient, L f represents the carbon emission loss rate, E f represents energy conversion efficiency, i represents energy quantity, Q i represents energy consumption, and E1 represents carbon emissions from energy consumption.

[0021] In a preferred embodiment, step S2 further includes the following specific contents:

[0022] Identify the starting and ending points of the industrial process, and draw a preliminary flow chart of the industrial process based on the collected data and the determined starting and ending points;

[0023] Conduct functional analysis on the initially drawn process flow chart and divide the parts with similar functions or operation purposes into a sub-process;

[0024] Divide sub-processes according to the relevance of equipment;

[0025] Divide subprocesses according to the transformation characteristics of materials and energy in industrial processes;

[0026] The calculation formula for carbon emissions from industrial processes is:

[0027]

[0028] Among them, E2 represents the carbon dioxide emissions from industrial processes, M f Indicates the type and consumption of fuel, EF frepresents the carbon emission factor of each fuel, η f represents combustion efficiency, C1 represents carbon capture, and γ1 represents storage efficiency.

[0029] In a preferred embodiment, step S2 further includes the following specific contents:

[0030] Calculate the fuel consumption for transportation: fuel consumption for transportation = number of motor vehicles × annual mileage of motor vehicles × fuel consumption per 100 kilometers;

[0031] Calculate carbon emissions from transportation;

[0032] For gasoline vehicles, CO2 emissions = fuel consumption × 0.785 × 2.3;

[0033] For diesel vehicles, CO2 emissions = fuel consumption × 0.83 × 2.68;

[0034] After calculating the carbon dioxide emissions of gasoline and diesel vehicles separately, adding the two together can get the total carbon emissions of transportation.

[0035] In a preferred embodiment, step S3 includes the following specific contents:

[0036] Organize the collected energy consumption data, industrial process emission data, and transportation emission data, and unify the units of data from different sources;

[0037] In the same unit, the total carbon emissions from energy consumption, the total carbon emissions from industrial processes and the total carbon emissions from transportation are added together.

[0038] In a preferred embodiment, step S4 includes the following specific contents:

[0039] Analyze the contribution of different energy sources to total carbon emissions, analyze the carbon emissions of industrial processes in different industrial sectors within the industrial park, and compare the carbon emissions of different modes of transportation;

[0040] Analyze the changing trend of the proportion of different energy sources in total carbon emissions over time, observe the energy substitution phenomenon, the transition from high-carbon coal to low-carbon natural gas or renewable energy, and analyze the impact of this evolution on the total carbon emissions and the rate of change;

[0041] Conduct a comprehensive analysis of carbon emission results to accurately identify the main sources and influencing factors of carbon emissions;

[0042] Based on the existing carbon emission trends and energy development plans, different carbon emission scenario models are constructed to predict the changing trends of future total carbon emissions, energy structure changes, industrial emissions and transportation emissions under different scenarios.

[0043] In a preferred embodiment, step S5 includes the following specific contents:

[0044] Collect multiple carbon emission report data, arrange the sorted data in chronological order, and construct a time series of carbon emission related indicators, including the total carbon emission time series, the carbon emission time series of each energy type, the carbon emission time series of different industrial sectors, and the carbon emission time series of various modes of transportation;

[0045] Based on the time series of carbon emissions of each energy type, analyze the changing trend of the proportion of different energy sources in the total carbon emissions;

[0046] Analyze the time series of carbon emissions from different industrial sectors to determine the growth or decline trend of carbon emissions in each sector;

[0047] Analyze the time series changes in carbon emissions from various modes of transportation, and observe the changes in the share of different modes of transportation in total carbon emissions.

[0048] An industrial park carbon emission calculation system includes a data acquisition module, a data calculation module, a data integration module and a data analysis module;

[0049] The data collection module is used to collect energy consumption data of enterprises in the industrial park, collect industrial process emission data, and obtain transportation emission data;

[0050] The data calculation module calculates the carbon emissions of energy consumption, industrial processes and transportation based on the collected data;

[0051] The data integration module is used to integrate carbon emissions from different sources to obtain the total carbon emissions of the industrial park;

[0052] The data analysis module is used to analyze the results, identify the main sources and influencing factors of carbon emissions, and generate a carbon emissions report.

[0053] The technical effects and advantages of the industrial park carbon emission calculation method and system of the present invention are as follows:

[0054] 1. Comprehensively consider the data of energy consumption, industrial process emissions and transportation emissions of enterprises in the industrial park, and accurately calculate the carbon emissions from different sources through multiple calculation formulas, avoiding the limitations of single factor calculation, and being able to more comprehensively and accurately reflect the carbon emissions of the industrial park;

[0055] 2. By analyzing the proportion of carbon emissions from different energy sources, industrial sectors and modes of transportation, the main sources of carbon emissions can be accurately identified, so that industrial park managers and enterprises can formulate emission reduction strategies in a targeted manner, concentrate resources on solving major emission problems, and improve the effectiveness of emission reduction measures. Based on comprehensive carbon emission data, the key directions and priorities of emission reduction can be determined, and more specific and feasible emission reduction targets can be formulated. At the same time, by comparing carbon emission data from different periods, the effectiveness of emission reduction measures can be evaluated and strategies can be adjusted in a timely manner;

[0056] 3. Understanding carbon emission trends can enable industrial parks to better adapt to policy and market changes, prepare in advance, adjust development strategies, meet future policy requirements and market demands, and improve the competitiveness of the parks;

[0057] 4. By sharing the results of carbon emission trend analysis, we can promote cooperation and exchanges among different industrial parks, jointly explore emission reduction experiences and technologies, achieve resource sharing and complementary advantages, and improve the emission reduction effect of the entire region;

[0058] 5. By integrating carbon emissions from different sources, we can obtain the overall carbon emissions of the industrial park and fully understand the carbon emissions of the industrial park, including the contributions of energy consumption, industrial production processes, transportation and other aspects, to provide a basis for comprehensive decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A schematic diagram of a process for calculating carbon emissions in an industrial park according to the present invention;

[0060] Figure 2 The present invention is a structural schematic diagram of an industrial park carbon emission calculation system. DETAILED DESCRIPTION

[0061] 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.

[0062] Example 1

[0063] The present invention provides a method and system for calculating carbon emissions in an industrial park.

[0064] Figure 1 The present invention provides a method for calculating carbon emissions in an industrial park, which comprises the following steps:

[0065] Step S1, collecting energy consumption data of each enterprise in the industrial park, collecting industrial process emission data, and obtaining transportation emission data;

[0066] Step S2, calculating the carbon emissions of energy consumption, industrial processes and transportation respectively based on the collected data;

[0067] Step S3, integrating carbon emissions from different sources to obtain the total carbon emissions of the industrial park;

[0068] Step S4, analyzing the results to find out the main sources and influencing factors of carbon emissions;

[0069] Step S5: Generate a carbon emission report.

[0070] Step S2 includes the following specific contents:

[0071] Check missing values ​​in energy consumption data, industrial process emission data, and transportation emission data. For a small number of missing values, use the mean or linear interpolation to fill in and calculate the carbon emissions of energy consumption;

[0072] Identify and handle outliers in the data, choosing to correct, replace, or delete them;

[0073] Calculate the correlation coefficients between energy consumption and industrial process emissions, between energy consumption and transport emissions, and between industrial process emissions and transport emissions;

[0074] The correlation coefficients between all variables form a correlation matrix;

[0075] The formula for calculating carbon emissions from energy consumption is:

[0076]

[0077] Among them, C f Indicates the carbon content coefficient, L f represents the carbon emission loss rate, E f represents energy conversion efficiency, i represents energy quantity, Q i represents energy consumption, and E1 represents carbon emissions from energy consumption.

[0078] It should be added that the carbon content of different energy sources varies greatly. For example, the carbon content of coal is usually much higher than that of natural gas. By considering the carbon content of each unit of energy, the difference in carbon emissions generated by different energy types during consumption can be more accurately reflected.

[0079] Carbon emissions from different energy types can be calculated and compared uniformly. For example, the difference in carbon dioxide emissions from using coal and natural gas at the same energy consumption can be compared, helping companies and decision makers to consider carbon emissions more scientifically when choosing energy.

[0080] Accurately calculating carbon emissions from energy consumption can encourage enterprises and society to pay more attention to low-carbon development. By reducing energy consumption, improving energy efficiency and choosing low-carbon energy, we can reduce carbon dioxide emissions, reduce negative impacts on the environment, and contribute to addressing climate change.

[0081] Step S2 also includes the following specific contents:

[0082] Identify the starting and ending points of the industrial process, and draw a preliminary flow chart of the industrial process based on the collected data and the determined starting and ending points;

[0083] Conduct functional analysis on the initially drawn process flow chart and divide the parts with similar functions or operation purposes into a sub-process;

[0084] Divide sub-processes according to the relevance of equipment;

[0085] Divide subprocesses according to the transformation characteristics of materials and energy in industrial processes;

[0086] The calculation formula for carbon emissions from industrial processes is:

[0087]

[0088] Among them, E2 represents the carbon dioxide emissions from industrial processes, M f Indicates the type and consumption of fuel, EF f represents the carbon emission factor of each fuel, η f represents combustion efficiency, C1 represents carbon capture, and γ1 represents storage efficiency.

[0089] It should be added that this method can comprehensively reflect the carbon emissions in the industrial process. Compared with the consideration of a single factor, this multivariate calculation method more accurately depicts the actual situation of carbon emissions in industrial production.

[0090] For different industrial production processes, raw materials and products are different. By measuring the raw material consumption, carbon content and product quantity in a specific industrial process, accurate carbon emissions calculations can be performed for the process, providing specific data support for emission reduction measures for specific industries or enterprises.

[0091] By calculating the carbon dioxide emissions of industrial processes, it is possible to determine which raw materials or production links contribute more to carbon emissions. Companies can then optimize their production processes in a targeted manner, such as looking for low-carbon raw material alternatives, improving the utilization efficiency of raw materials to reduce the raw material consumption per unit product, etc.

[0092] Understanding the raw material consumption per unit product helps companies evaluate the resource utilization efficiency in the production process. By reducing raw material consumption, carbon emissions can be reduced while reducing production costs, thereby improving the economic benefits and competitiveness of the company.

[0093] Step S2 also includes the following specific contents:

[0094] Calculate the fuel consumption for transportation: fuel consumption for transportation = number of motor vehicles × annual mileage of motor vehicles × fuel consumption per 100 kilometers;

[0095] Calculate carbon emissions from transportation;

[0096] For gasoline vehicles, CO2 emissions = fuel consumption × 0.785 × 2.3;

[0097] For diesel vehicles, CO2 emissions = fuel consumption × 0.83 × 2.68;

[0098] After calculating the carbon dioxide emissions of gasoline and diesel vehicles separately, adding the two together can get the total carbon emissions of transportation.

[0099] It should be added that the calculation of transportation fuel consumption is based on the number of motor vehicles, annual mileage and fuel consumption per 100 kilometers, and the carbon emissions are calculated using specific calculation formulas for vehicles of different fuel types, which fully considers the main factors affecting transportation carbon emissions. This multi-dimensional calculation method can more accurately reflect the actual carbon emissions of transportation.

[0100] By calculating the carbon emission contribution of different types of vehicles, we can determine which types of vehicles are the key targets for reducing carbon emissions in transportation. For example, if diesel vehicles have high carbon emissions, targeted measures can be taken, such as promoting new energy trucks and raising diesel vehicle emission standards.

[0101] There may be differences in transportation carbon emissions in different regions. By calculating and comparing carbon emission data from different regions, the government can formulate regional coordinated development policies to promote the rational allocation of transportation resources and the joint reduction of carbon emissions.

[0102] Step S3 includes the following specific contents:

[0103] Organize the collected energy consumption data, industrial process emission data, and transportation emission data, and unify the units of data from different sources;

[0104] In the same unit, the total carbon emissions from energy consumption, the total carbon emissions from industrial processes and the total carbon emissions from transportation are added together.

[0105] It should be added that sorting the collected data from different sources can remove errors, duplications and incomplete data to ensure the accuracy of the data. At the same time, the sorting process can classify and archive the data for subsequent analysis and use.

[0106] Unifying data from different sources into the same units allows data on energy consumption, industrial process emissions and transport emissions to be directly compared and aggregated. This avoids calculation errors and misunderstandings caused by inconsistent units and improves the comparability of data.

[0107] By adding up the carbon emissions from different sources, we can get the overall carbon emissions of the industrial park, which helps us to fully understand the carbon emissions of the industrial park, including the contributions of energy consumption, industrial production processes, transportation and other aspects.

[0108] By analyzing the proportion of carbon emissions from different sources, we can determine the key areas of carbon emissions in industrial parks. For example, if carbon emissions from energy consumption account for a large proportion, targeted energy-saving measures can be taken; if carbon emissions from transportation are high, we can consider optimizing transportation logistics, etc.

[0109] Based on comprehensive carbon emission data, reasonable emission reduction targets can be set. Understanding carbon emissions from different sources helps determine the focus and priority of emission reduction, making emission reduction targets more specific and feasible. After implementing emission reduction measures, the effectiveness of the measures can be evaluated by comparing carbon emission data from different periods. For example, if the carbon emissions from energy consumption decrease after energy-saving measures are taken, it means that the measures have achieved certain results.

[0110] Step S4 includes the following specific contents:

[0111] Analyze the contribution of different energy sources to total carbon emissions, analyze the carbon emissions of industrial processes in different industrial sectors within the industrial park, and compare the carbon emissions of different modes of transportation;

[0112] Analyze the changing trend of the proportion of different energy sources in total carbon emissions over time, observe the energy substitution phenomenon, the transition from high-carbon coal to low-carbon natural gas or renewable energy, and analyze the impact of this evolution on the total carbon emissions and the rate of change;

[0113] Conduct a comprehensive analysis of carbon emission results to accurately identify the main sources and influencing factors of carbon emissions;

[0114] Based on the existing carbon emission trends and energy development plans, different carbon emission scenario models are constructed to predict the changing trends of future total carbon emissions, energy structure changes, industrial emissions and transportation emissions under different scenarios.

[0115] It should be added that by analyzing the carbon emissions share of different energy sources, industrial sectors and transportation modes, the main sources of carbon emissions can be accurately identified. This enables industrial park managers and related companies to formulate emission reduction strategies in a targeted manner and focus limited resources on solving major emission problems.

[0116] Specific emission reduction measures can be formulated for different major emission sources. For example, if a specific energy type accounts for a high proportion of total carbon emissions, we can consider optimizing the energy structure and increasing the proportion of clean energy; if a certain industrial sector has outstanding carbon emissions, we can promote technology upgrades and process improvements in that sector.

[0117] Analysis of carbon emissions in the industrial sector can prompt companies to accelerate the pace of industrial upgrading, adopt more environmentally friendly and efficient production technologies and processes, improve resource utilization efficiency, reduce carbon emission intensity, and achieve sustainable development.

[0118] A comprehensive analysis of carbon emission results can give decision makers a deeper understanding of the current status and trends of carbon emissions in industrial parks, including the impact of various factors on carbon emissions. This helps to formulate more scientific and reasonable development plans and policies and avoid blind decision-making. Dynamic adjustment strategy: Through continuous monitoring and analysis of carbon emissions, emission reduction strategies can be dynamically adjusted according to actual conditions to ensure the achievement of emission reduction targets. At the same time, new problems and challenges can be discovered in a timely manner and corresponding countermeasures can be taken.

[0119] Step S5 includes the following specific contents:

[0120] Collect multiple carbon emission report data, arrange the sorted data in chronological order, and construct a time series of carbon emission related indicators, including the total carbon emission time series, the carbon emission time series of each energy type, the carbon emission time series of different industrial sectors, and the carbon emission time series of various modes of transportation;

[0121] Based on the time series of carbon emissions of each energy type, analyze the changing trend of the proportion of different energy sources in the total carbon emissions;

[0122] Analyze the time series of carbon emissions from different industrial sectors to determine the growth or decline trend of carbon emissions in each sector;

[0123] Analyze the time series changes in carbon emissions from various modes of transportation, and observe the changes in the share of different modes of transportation in total carbon emissions.

[0124] It should be added that by comparing the changes in carbon emissions over different time periods, we can understand the historical trend of carbon emissions and provide an important reference for industrial parks to formulate long-term development plans. For example, according to the predicted future development trends, we can rationally plan energy supply, industrial layout and transportation infrastructure to meet future emission reduction requirements.

[0125] Trend analysis can help identify potential risks of carbon emissions growth in advance, enabling industrial park managers and enterprises to take corresponding emission reduction measures in a timely manner and avoid being passive when faced with more stringent emission reduction pressures in the future.

[0126] Understanding the changing trends of carbon emissions can help determine the key areas for resource investment. For example, if trend analysis shows that carbon emissions from a particular industrial sector will continue to grow, investment in energy-saving and emission-reduction technology research and development and equipment upgrades for that industry can be increased in a targeted manner.

[0127] In the context of global response to climate change, industrial parks with good emission reduction trends are more competitive, which can attract more environmentally friendly enterprises to settle in and promote industrial upgrading and economic development.

[0128] Trend analysis can help industrial parks better adapt to policy and market changes. As countries become more and more stringent in controlling carbon emissions, understanding carbon emission trends can enable industrial parks to prepare in advance and adjust development strategies to meet future policy requirements and market demands.

[0129] By sharing the results of carbon emission trend analysis, we can promote cooperation and communication among different industrial parks, jointly explore emission reduction experiences and technologies, achieve resource sharing and complementary advantages, and improve the emission reduction effect of the entire region.

[0130] Example 2

[0131] Figure 2 The present invention provides an industrial park carbon emission calculation system, including a data acquisition module, a data calculation module, a data integration module and a data analysis module;

[0132] The data collection module is used to collect energy consumption data of enterprises in the industrial park, collect industrial process emission data, and obtain transportation emission data;

[0133] The data calculation module calculates the carbon emissions of energy consumption, industrial processes and transportation based on the collected data;

[0134] The data integration module is used to integrate carbon emissions from different sources to obtain the total carbon emissions of the industrial park;

[0135] The data analysis module is used to analyze the results, identify the main sources and influencing factors of carbon emissions, and generate a carbon emissions report.

[0136] The following is an example of carbon emission calculation and results of a park using this method:

[0137] 1. Data Collection

[0138] Through connecting with the energy management systems of various enterprises and conducting field surveys, the following data was collected:

[0139] Energy consumption data: There are 50 enterprises in the park, with a total coal consumption of 1,000 tons, a total natural gas consumption of 500,000 cubic meters, and a total electricity consumption of 20 million kWh.

[0140] Industrial process emission data: After combing through the industrial processes of various enterprises, the main industrial process emission sources were identified. For example, in a specific chemical reaction process of a chemical enterprise, the fuel consumption is 20 tons of coke (carbon emission factor is 0.85), the combustion efficiency is 0.8, the carbon capture is 1 ton, and the storage efficiency is 0.5; the sintering process of a steel enterprise consumes 1 million tons of iron ore, with a carbon content of about 2%, and the product output is 500,000 tons of steel.

[0141] Transportation emission data: There are 1,000 motor vehicles in the park, including 600 gasoline vehicles and 400 diesel vehicles. According to statistics, the average annual mileage of gasoline vehicles is 20,000 kilometers, and the fuel consumption is 8 liters per 100 kilometers; the average annual mileage of diesel vehicles is 30,000 kilometers, and the fuel consumption is 10 liters per 100 kilometers.

[0142] 2. Data Calculation

[0143] Energy consumption and carbon emissions calculation

[0144] For coal consumption: Assuming the carbon content coefficient of coal is 0.7, the carbon emission loss rate is 0.1, and the energy conversion efficiency is 0.35. According to the formula, the carbon emission of coal consumption = 0.7 × 0.1 × 0.35 × 1000 × 1000 = 24,500 tons (here 1000 is the conversion of tons to kilograms to unify the units and adapt to the formula).

[0145] For natural gas consumption: Assuming the carbon content coefficient of natural gas is 0.4, the carbon emission loss rate is 0.05, and the energy conversion efficiency is 0.4, the carbon emission of natural gas consumption = 0.4 × 0.05 × 0.4 × 500000 × 12.5 (natural gas is about 12.5 kilograms per cubic meter) = 5,000 tons.

[0146] For electricity consumption: assuming that the electricity carbon emission coefficient is 0.8 (determined according to the local power grid energy structure), the carbon emissions from electricity consumption = 0.8 × 20,000,000 = 16,000 tons.

[0147] Total carbon emissions from energy consumption = 24,500 + 5,000 + 16,000 = 45,500 tons.

[0148] Calculation of carbon emissions from industrial processes

[0149] Taking chemical companies as an example: industrial process carbon dioxide emissions = 20×0.85×0.8-1×0.5=13.1 tons.

[0150] Take steel enterprises as an example: first calculate the carbon content in the raw materials, which is 1000000×0.02=20000 tons. Assuming that the carbon conversion rate in the production process is 0.6, the industrial process carbon dioxide emissions = 20000×0.6=12000 tons.

[0151] Total carbon emissions from industrial processes (calculating only these two typical enterprises) = 13.1 + 12000 = 12013.1 tons.

[0152] Calculating Carbon Emissions from Transportation

[0153] Carbon dioxide emissions from gasoline vehicles = 600×20000÷100×8×0.785×2.3=1778400 kg=1778.4 tons.

[0154] Carbon dioxide emissions from diesel vehicles = 400×30,000÷100×10×0.83×2.68=2,650,560 kg = 2,650.56 tons.

[0155] Total carbon emissions from transportation = 1778.4 + 2650.56 = 4428.96 tons.

[0156] 3. Data Integration

[0157] Adding up the total carbon emissions from energy consumption of 45,500 tons, the total carbon emissions from industrial processes of 12,013.1 tons, and the total carbon emissions from transportation of 4,428.96 tons, we get the total carbon emissions of the park = 45,500 + 12,013.1 + 4,428.96 = 61,942.06 tons.

[0158] 4. Data Analysis

[0159] Energy consumption accounts for 45500÷61942.06×100%≈73.46% of total carbon emissions, industrial processes account for about 19.4%, and transportation accounts for about 7.14%. It can be seen that energy consumption is the main source of carbon emissions in the park.

[0160] Looking at the proportion of different energy sources in carbon emissions from energy consumption, coal accounts for about 53.8%, natural gas accounts for about 11%, and electricity accounts for about 35.2%, showing the high carbon emission impact of coal in the energy structure, and there is a lot of room for optimization.

[0161] Comparing the carbon emissions from industrial processes in different industrial sectors, emissions from the steel industry are relatively prominent, and can be used as a key emission reduction industry for research into process improvements and technological upgrades.

[0162] From the perspective of transportation, diesel vehicles have relatively high carbon emissions, so we can consider giving priority to promoting emission reduction measures such as new energy trucks.

[0163] 5. Carbon Emission Report Generation

[0164] The above data and analysis results are collated to generate a carbon emission report. The report lists in detail the data sources, calculation process, total carbon emissions and the proportion of each part, analysis of major emission sources, and preliminary emission reduction suggestions for different emission sources, providing an important basis for the sustainable development of the park and the formulation of emission reduction strategies. At the same time, the calculation results are included in the time series data of carbon emission related indicators to facilitate long-term trend analysis and comparative evaluation.

[0165] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0166] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0167] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0168] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0169] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0170] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0171] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0172] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0173] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0174] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for calculating carbon emissions in an industrial park, characterized in that: The steps include: Step S1, collecting energy consumption data of each enterprise in the industrial park, collecting industrial process emission data, and obtaining transportation emission data; Step S2, calculating the carbon emissions of energy consumption, industrial processes and transportation respectively based on the collected data; Step S3, integrating carbon emissions from different sources to obtain the total carbon emissions of the industrial park; Step S4, analyzing the results to find out the main sources and influencing factors of carbon emissions; Step S5: Generate a carbon emission report.

2. The method for calculating carbon emissions in an industrial park according to claim 1, characterized in that: Step S2 includes the following specific contents: Check missing values ​​in energy consumption data, industrial process emission data, and transportation emission data. For a small number of missing values, use the mean or linear interpolation to fill in and calculate the carbon emissions of energy consumption; Identify and handle outliers in the data, choosing to correct, replace, or delete them; Calculate the correlation coefficients between energy consumption and industrial process emissions, between energy consumption and transport emissions, and between industrial process emissions and transport emissions; The correlation coefficients between all variables form a correlation matrix; The formula for calculating carbon emissions from energy consumption is: Among them, C f Indicates the carbon content coefficient, L f represents the carbon emission loss rate, E f represents energy conversion efficiency, i represents energy quantity, Q i represents energy consumption, and E1 represents carbon emissions from energy consumption.

3. The method for calculating carbon emissions in an industrial park according to claim 2, characterized in that: Step S2 also includes the following specific contents: Identify the starting and ending points of the industrial process, and draw a preliminary flow chart of the industrial process based on the collected data and the determined starting and ending points; Conduct functional analysis on the initially drawn process flow chart and divide the parts with similar functions or operation purposes into a sub-process; Divide sub-processes according to the relevance of equipment; Divide subprocesses according to the transformation characteristics of materials and energy in industrial processes; The calculation formula for carbon emissions from industrial processes is: Among them, E2 represents the carbon dioxide emissions from industrial processes, M f Indicates the type and consumption of fuel, EF f represents the carbon emission factor of each fuel, η f represents combustion efficiency, C1 represents carbon capture, and γ1 represents storage efficiency.

4. The method for calculating carbon emissions in an industrial park according to claim 3, characterized in that: Step S2 also includes the following specific contents: Calculate the fuel consumption for transportation: fuel consumption for transportation = number of motor vehicles × annual mileage of motor vehicles × fuel consumption per 100 kilometers; Calculate carbon emissions from transportation; For gasoline vehicles, CO2 emissions = fuel consumption × 0.785 × 2.3; For diesel vehicles, CO2 emissions = fuel consumption × 0.83 × 2.68; After calculating the carbon dioxide emissions of gasoline and diesel vehicles separately, adding the two together can get the total carbon emissions of transportation.

5. The method for calculating carbon emissions in an industrial park according to claim 4, characterized in that: Step S3 includes the following specific contents: Organize the collected energy consumption data, industrial process emission data, and transportation emission data, and unify the units of data from different sources; In the same unit, the total carbon emissions from energy consumption, the total carbon emissions from industrial processes and the total carbon emissions from transportation are added together.

6. The method for calculating carbon emissions in an industrial park according to claim 5, characterized in that: Step S4 includes the following specific contents: Analyze the contribution of different energy sources to total carbon emissions, analyze the carbon emissions of industrial processes in different industrial sectors within the industrial park, and compare the carbon emissions of different modes of transportation; Analyze the changing trend of the proportion of different energy sources in total carbon emissions over time, observe the energy substitution phenomenon, the transition from high-carbon coal to low-carbon natural gas or renewable energy, and analyze the impact of this evolution on the total carbon emissions and the rate of change; Conduct a comprehensive analysis of carbon emission results to accurately identify the main sources and influencing factors of carbon emissions; Based on the existing carbon emission trends and energy development plans, different carbon emission scenario models are constructed to predict the changing trends of future total carbon emissions, energy structure changes, industrial emissions and transportation emissions under different scenarios.

7. The method for calculating carbon emissions in an industrial park according to claim 6, characterized in that: Step S5 includes the following specific contents: Collect multiple carbon emission report data, arrange the sorted data in chronological order, and construct a time series of carbon emission related indicators, including the total carbon emission time series, the carbon emission time series of each energy type, the carbon emission time series of different industrial sectors, and the carbon emission time series of various modes of transportation; Based on the time series of carbon emissions of each energy type, analyze the changing trend of the proportion of different energy sources in the total carbon emissions; Analyze the time series of carbon emissions from different industrial sectors to determine the growth or decline trend of carbon emissions in each sector; Analyze the time series changes in carbon emissions from various modes of transportation, and observe the changes in the share of different modes of transportation in total carbon emissions.

8. An industrial park carbon emission calculation system, used to implement the calculation method according to any one of claims 1 to 7, comprising a data acquisition module, a data calculation module, a data integration module and a data analysis module; The data collection module is used to collect energy consumption data of enterprises in the industrial park, collect industrial process emission data, and obtain transportation emission data; The data calculation module calculates the carbon emissions of energy consumption, industrial processes and transportation based on the collected data; The data integration module is used to integrate carbon emissions from different sources to obtain the total carbon emissions of the industrial park; The data analysis module is used to analyze the results, identify the main sources and influencing factors of carbon emissions, and generate a carbon emissions report.

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