Online carbon metering method and system suitable for process industry

Abstract

The invention relates to the technical field of online real-time carbon metering, in particular to an online carbon metering method and system suitable for the process industry, which are characterized in that the carbon emission boundary of a process industry enterprise is determined, whether the process industry enterprise has a monitoring equipment condition of a direct carbon emission source is evaluated, if yes, a mode I is adopted, and if not, a mode II is adopted; in the first mode, a carbon metering edge controller is used for collecting metering data of carbon emission in real time, in the second mode, a carbon monitoring system fits the relation between the carbon emission and the electric quantity by establishing a complex regression model of each technological process, and the carbon monitoring system calculates the electric quantity according to the carbon emission data reported by the first mode or the carbon emission data of carbon estimated by electricity in the second mode. Through big data analysis, various types of reports are formed for enterprise managers to consult and analyze. The carbon emission of the enterprise is accurately metered in real time and displayed through the system, so that the carbon emission can be gradually reduced by means of management or technical improvement and the like, and the purposes of saving energy and reducing carbon are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of online real-time carbon metering, and in particular to an online carbon metering method and system applicable to process industry. Background Art

[0002] Process industry refers to the industry that increases the value of raw materials through mixing, separation, molding or chemical reaction. The process industry covers many fields. Under the current global energy and environmental situation, the process industry, as a representative industry with high energy consumption and high carbon emissions, is facing unprecedented pressure to save energy and reduce carbon emissions. This type of industrial field includes many key industries such as chemical, petroleum, and metallurgy. Its production process is complex and continuous, often accompanied by a large amount of energy consumption and greenhouse gas emissions.

[0003] However, how to accurately and in real time measure corporate carbon emissions has become a major technical challenge facing the industry. Summary of the invention

[0004] The purpose of the present invention is to provide an online carbon metering method and system suitable for process industries, which solves the problem of difficulty in accurately and real-time metering of carbon emissions of enterprises.

[0005] To achieve the above object, the present invention provides an online carbon measurement method applicable to process industry, comprising the following steps: Determine the carbon emission boundaries of process industrial enterprises and distinguish between direct and indirect carbon emission sources; Assess whether the process industry enterprise has the conditions for monitoring equipment for direct carbon emission sources. If it has the conditions for monitoring equipment for direct carbon emission sources, use Mode 1 to measure carbon emissions. If it does not have the conditions for monitoring equipment for direct carbon emission sources, use Mode 2 to measure carbon emissions. The carbon metering edge controller is used to collect the metering data of carbon emissions in real time, and the carbon emissions of process industrial enterprises are calculated through processing and conversion and reported to the carbon monitoring system. For mode 2, the load curve data of major power-consuming equipment is collected and reported to the carbon monitoring system; In Mode 2, the carbon monitoring system uses the collected load curve data of major power-consuming equipment to build complex regression models for each process flow to fit the relationship between carbon emissions and electricity consumption. The carbon monitoring system generates various types of reports through big data analysis based on the carbon emission data reported in Mode 1 or the carbon emission data estimated by electricity in Mode 2 for enterprise managers to review and analyze.

[0006] Among them, determining the carbon emission boundary of process industry enterprises and distinguishing between direct carbon emission sources and indirect carbon emission sources, the steps also include: Direct carbon emission sources include at least flue gas emissions, and indirect carbon emission sources include at least corporate electricity consumption.

[0007] Among them, assess whether the process industry enterprise has the conditions for monitoring equipment for direct carbon emission sources. If it has the conditions for monitoring equipment for direct carbon emission sources, mode 1 is used to measure carbon emissions. If it does not have the conditions for monitoring equipment for direct carbon emission sources, mode 2 is used to measure carbon emissions. The steps also include: Mode 1 is to install CEMS equipment at the flue gas emission outlet to collect data, which at least includes CO2 concentration, flow rate, pressure and temperature, and install electricity meters at the enterprise's electricity consumption point to collect data, which at least includes total forward active power, forward active rate power, total reverse active power, reverse active rate power, voltage, current and power.

[0008] Among them, assess whether the process industry enterprise has the conditions for monitoring equipment for direct carbon emission sources. If it has the conditions for monitoring equipment for direct carbon emission sources, mode 1 is used to measure carbon emissions. If it does not have the conditions for monitoring equipment for direct carbon emission sources, mode 2 is used to measure carbon emissions. The steps also include: Model 2 is to install electricity meters at the enterprise's electricity consumption points and high-power electrical equipment without installing CEMS equipment at the flue gas emission outlet, and collect electricity data to form a carbon emission assessment model for the enterprise's electricity-carbon relationship.

[0009] Among them, the carbon metering edge controller is used to collect the metering data of carbon emissions in real time, and the carbon emissions of process industrial enterprises are calculated through processing and conversion and reported to the carbon monitoring system. For mode 2, the load curve data of major power-consuming equipment is collected and reported to the carbon monitoring system. The steps also include: For mode 1, the auxiliary service demand and corresponding indirect carbon emissions generated randomly by new energy in the distributed power grid during the purchased electricity are calculated, and the indirect carbon emissions of purchased electricity and the carbon emissions of the auxiliary services related to the distributed power grid are obtained; Consider the impact of the measuring equipment and measuring environment on the uncertainty of the measurement results and assess their uncertainty; In view of the noise interference of the instrument measurement data, the filtering method is used to smooth and remove noise, evaluate its impact on data accuracy, and obtain the direct carbon emission data after the measurement results are processed.

[0010] Among them, the carbon metering edge controller is used to collect the metering data of carbon emissions in real time, and the carbon emissions of process industrial enterprises are calculated through processing and conversion and reported to the carbon monitoring system. For mode 2, the load curve data of major power-consuming equipment is collected and reported to the carbon monitoring system. The steps also include: Through the load identification method based on machine learning, the power load is identified from the perspective of the total power consumption of the enterprise, and the results are optimized by combining some measurement data; By building complex regression models for each process flow to fit the relationship between carbon emissions and electricity, the direct carbon emissions of enterprises can be characterized from the perspective of electricity data. Combined with the real-time tracking of indirect carbon emissions from a company’s electricity consumption, an assessment of the company’s indirect carbon emissions is formed.

[0011] An online carbon metering system applicable to process industry is applied to the online carbon metering method applicable to process industry.

[0012] The present invention discloses an online carbon metering method and system suitable for process industry, step 1: determine the carbon emission boundary of process industry enterprises, determine direct carbon emission sources and indirect carbon emission sources. Step 2: determine whether there are conditions for direct carbon emission source monitoring equipment. If there is a direct carbon emission monitoring source, it is mode 1; if there is no direct carbon emission source monitoring equipment, it is mode 2. In mode 2, the main power-consuming equipment to be collected must be determined in order to estimate carbon by electricity. Step 3: use the carbon metering edge controller to collect the carbon metering data in step 2 in real time, calculate the carbon emissions of the enterprise through processing and conversion, and report it to the carbon monitoring system; in mode 2, upload the load curve data of the main power-consuming equipment to the carbon monitoring system. Step 4: In mode 2, the monitoring system fits the relationship between carbon emissions and electricity by establishing a complex regression model for each process flow, and the above method is used to achieve the characterization of the direct carbon emissions of the enterprise from the perspective of power data. The carbon monitoring system forms various types of reports for managers to review based on the reported carbon emission data or the carbon emission data of mode 2 estimated by electricity, through big data analysis. The company's carbon emissions are measured in real time and accurately, and displayed through the system. Company managers can understand the company's carbon emissions anytime and anywhere through the Internet, and then analyze the causes of high carbon emissions through big data and other means, and then gradually reduce carbon emissions through management or technical reforms to achieve energy conservation and carbon reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0014] Figure 1 Schematic diagram of the carbon measurement boundary of the first embodiment of the present invention.

[0015] Figure 2 It is a flowchart of the steps of an online carbon measurement method applicable to process industry according to the first embodiment of the present invention.

[0016] Figure 3 It is a flow chart of an online carbon measurement method applicable to process industry according to the first embodiment of the present invention. DETAILED DESCRIPTION

[0017] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0018] The first embodiment of the present application is: See also Figures 1 to 3 ,in, Figure 1 It is a schematic diagram of the carbon measurement boundary of the cement industry according to the first embodiment of the present invention. Figure 2 It is a flowchart of the steps of an online carbon measurement method applicable to process industry according to the first embodiment of the present invention. Figure 3 1 is a flow chart of an online carbon measurement method applicable to process industry according to a first embodiment of the present invention. The present invention provides an online carbon measurement method applicable to process industry, comprising the following steps: S101: Determine the carbon emission boundaries of process industrial enterprises and distinguish between direct and indirect carbon emission sources; Specifically, the carbon emission boundary of process industrial enterprises is determined. Taking the cement industry as an example, the carbon emission boundary is the carbon emissions involved in the entire process from raw material processing to cement products. The direct carbon emission sources are determined to be coal combustion carbon emissions and carbonate decomposition carbon emissions, and the indirect carbon emission source is the net purchase of electricity by the enterprise.

[0019] S102: Assess whether the process industry enterprise has the conditions for monitoring equipment for direct carbon emission sources. If it has the conditions for monitoring equipment for direct carbon emission sources, use mode 1 to measure carbon emissions. If it does not have the conditions for monitoring equipment for direct carbon emission sources, use mode 2 to measure carbon emissions. Specifically, mode one is to install CEMS equipment (a continuous monitoring system for flue gas emissions) at the flue gas emission outlet, and collect data including at least CO2 concentration, flow rate, pressure, and temperature; and install electricity meters at the enterprise's electricity consumption gateway, and collect data including at least total forward active power, forward active rate 1 power, forward active rate 2 power, forward active rate 3 power, forward active rate 4 power, total reverse active power, reverse active rate 1 power, reverse active rate 2 power, reverse active rate 3 power, reverse active rate 4 power, voltage, current, and power; mode two is to install electricity meters at the enterprise's electricity consumption gateway and high-power electrical equipment without installing CEMS equipment at the flue gas emission outlet, and collect electricity data to form a carbon emission assessment model of the enterprise's electricity-carbon relationship.

[0020] S103: Use the carbon metering edge controller to collect carbon emission measurement data in real time, calculate the carbon emission of process industrial enterprises through processing and conversion, and report it to the carbon monitoring system. For mode 2, collect the load curve data of major power-consuming equipment and report it to the carbon monitoring system; Specifically, the maximum collection frequency of the carbon metering edge controller can reach the minute level. The enterprise carbon emissions are calculated through processing and conversion and reported to the carbon monitoring system. In mode 1 of step S102, the auxiliary service demand and corresponding indirect carbon emissions generated randomly by new energy in the distributed power grid in the purchased electricity are first calculated to obtain the indirect carbon emissions of the purchased electricity and the carbon emissions of the auxiliary services related to the distributed power grid. Related electricity carbon formula: Carbon emissions ( ) = Electricity consumption (kilowatt-hour, kWh) × national or regional average carbon emission factor ( ).

[0021] Then, the influence of factors such as measuring equipment and measuring environment on the uncertainty of the measurement results is considered, and the uncertainty is evaluated. In view of the noise interference of the instrument measurement data, improvements are made in smoothing and filtering. The filtering method is used for smoothing and noise removal, and its influence on data accuracy is evaluated to obtain the direct carbon emissions after the measurement results are processed. The specific calculation process is as follows: 1. Since humidity affects the flue gas volume, the wet basis flow rate needs to be converted to dry basis flow rate first.

[0022] ; in, is the volume concentration of carbon dioxide on a dry basis, % is the volume concentration of carbon dioxide on a wet basis, % is the relative humidity of flue gas in %.

[0023] 2. Because the data such as smoke concentration, flow rate, humidity, etc. are collected as discontinuous values, in order to improve the accuracy of the final calculation, it is necessary to take the average value of the concentration data (taking minutes as an example).

[0024] ; in, is the average concentration of carbon dioxide in 1 minute, is the concentration value collected within 1 minute, It is the number of concentration acquisitions within 1 minute.

[0025] 3. Calculate the carbon dioxide flow rate: ; in, is the average instantaneous value of the flue gas velocity in the chimney or flue cross section m / s, It is the instantaneous value of the flue gas velocity in the chimney or flue section within 1 minute m / s, is the number of acquisitions within 1 minute, is the velocity field coefficient.

[0026] ; in, is the minute wet flue gas flow m3 under actual working conditions, is the average instantaneous value of the flue gas velocity in the chimney or flue cross section m / s, The area of ​​the chimney or flue section at the installation point (m) 2 .

[0027] 4. In order to eliminate the influence of temperature and pressure on volume, the dry basis (wet basis data processing) flue gas flow needs to be corrected to the standard state (temperature and pressure).

[0028] ; in, is the minute dry flue gas volume flow rate m under standard conditions 3 , is the flue gas temperature collected j times per minute, is the flue gas static pressure collected r times per minute, It is the relative humidity of flue gas collected t times per minute.

[0029] 5. Based on the previously calculated concentration and flow data, calculate the carbon dioxide emission data per minute.

[0030] ; in, Monitors carbon dioxide emissions within 1 minute.

[0031] In mode 2 of step S102, a load identification method based on machine learning is used to achieve refined power load identification from the perspective of the total power consumption of the enterprise. Electricity meters are installed at the power consumption points and high-power power consumption equipment of the enterprise to collect power load data. Then, a complex regression model of each process flow is established to fit the relationship between carbon emissions and power consumption. The above method is used to indirectly characterize the carbon emissions of the enterprise from the perspective of power data. Constructing a regression model of carbon emissions and power consumption includes the following steps: 1. Data collection: Collect historical electricity consumption data and corresponding carbon emissions data.

[0032] 2. Data preprocessing: Preprocess the collected data, including data cleaning, outlier processing, missing value filling, etc. to ensure the accuracy and reliability of the data.

[0033] 3. Model selection: Select a linear regression model to fit the relationship between electricity consumption and carbon emissions.

[0034] 4. Model training: Use the collected data to train the regression model to obtain the model parameters and predictive ability.

[0035] 5. Model validation: Verify the model’s predictive power and accuracy through cross-validation or other methods to ensure that the model can accurately predict carbon emissions in practical applications.

[0036] S104: In Mode 2, the carbon monitoring system uses the collected load curve data of major power-consuming equipment to build complex regression models for each process flow to fit the relationship between carbon emissions and electricity consumption. The carbon monitoring system generates various types of reports based on the carbon emission data reported in Mode 1 or the carbon emission data estimated by electricity in Mode 2 for enterprise managers to review and analyze.

[0037] Specifically, the carbon emission data displayed by the carbon monitoring system includes at least minute carbon emissions, hourly carbon emissions, daily carbon emissions, monthly carbon emissions, annual carbon emissions and various trends. Specific embodiment: Step 1: Determine the carbon emission boundaries of process industrial enterprises and identify direct and indirect carbon emission sources. Figure 1 As shown, the emission sources are determined to be flue gas emissions and enterprise electricity consumption.

[0039] Step 2: Install carbon metering devices at the carbon emission sources determined in step 1 to collect carbon-related data in real time. Install CMES at the flue gas outlet to collect CO2 concentration, flow rate, pressure and temperature; install gateway meters to collect the total electricity consumption data of the enterprise, including total forward active energy, forward active rate 1 energy, forward active rate 2 energy, forward active rate 3 energy, forward active rate 4 energy, total reverse active energy, reverse active rate 1 energy, reverse active rate 2 energy, reverse active rate 3 energy, reverse active rate 4 energy, voltage, current and power.

[0040] Step 3: Use the carbon metering edge controller to collect the carbon metering data in step 2 in real time, calculate the company's carbon emissions through processing and conversion, and report it to the carbon monitoring system. Flue gas carbon emissions calculation formula: ; Calculation formula for indirect carbon emissions from electricity consumption: .

[0041] Step 4: The carbon monitoring system generates various types of reports for managers to review based on the reported carbon emission data through big data analysis.

[0042] The company's carbon emissions can be measured in real time and accurately, and displayed through the system. Company managers can grasp the company's carbon emissions anytime and anywhere through the Internet, and then analyze the causes of high carbon emissions through big data and other means, and then gradually reduce carbon emissions through management or technical reforms to achieve the goal of energy conservation and carbon reduction.

[0043] The second embodiment of the present application is: On the basis of the first embodiment, the online carbon metering system applicable to the process industry of this embodiment is applied to the online carbon metering method applicable to the process industry.

[0044] What is disclosed above is only one or more preferred embodiments of the present application, and cannot be used to limit the scope of rights of the present application. Ordinary technicians in this field can understand that all or part of the processes of implementing the above embodiments and equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. An online carbon measurement method suitable for process industry, characterized in that: The following steps are involved: Determine the carbon emission boundaries of process industrial enterprises and distinguish between direct and indirect carbon emission sources; Assess whether the process industry enterprise has the conditions for monitoring equipment for direct carbon emission sources. If it has the conditions for monitoring equipment for direct carbon emission sources, use Mode 1 to measure carbon emissions. If it does not have the conditions for monitoring equipment for direct carbon emission sources, use Mode 2 to measure carbon emissions. The carbon metering edge controller is used to collect the metering data of carbon emissions in real time, and the carbon emissions of process industrial enterprises are calculated through processing and conversion and reported to the carbon monitoring system. For mode 2, the load curve data of major power-consuming equipment is collected and reported to the carbon monitoring system; In Mode 2, the carbon monitoring system uses the collected load curve data of major power-consuming equipment to build complex regression models for each process flow to fit the relationship between carbon emissions and electricity consumption. The carbon monitoring system generates various types of reports through big data analysis based on the carbon emission data reported in Mode 1 or the carbon emission data estimated by electricity in Mode 2 for enterprise managers to review and analyze.

2. The online carbon measurement method applicable to process industry according to claim 1, characterized in that: Determine the carbon emission boundary of process industry enterprises and distinguish between direct carbon emission sources and indirect carbon emission sources. The steps also include: Direct carbon emission sources include at least flue gas emissions, and indirect carbon emission sources include at least corporate electricity consumption.

3. The online carbon measurement method applicable to process industry according to claim 2, characterized in that: Assess whether the process industry enterprise has the conditions for monitoring equipment for direct carbon emission sources. If it has the conditions for monitoring equipment for direct carbon emission sources, use mode 1 to measure carbon emissions. If it does not have the conditions for monitoring equipment for direct carbon emission sources, use mode 2 to measure carbon emissions. The steps also include: Mode 1 is to install CEMS equipment at the flue gas emission outlet to collect data, which at least includes CO2 concentration, flow rate, pressure and temperature, and install electricity meters at the enterprise's electricity consumption point to collect data, which at least includes total forward active power, forward active rate power, total reverse active power, reverse active rate power, voltage, current and power.

4. The online carbon measurement method applicable to process industry according to claim 3, characterized in that: Assess whether the process industry enterprise has the conditions for monitoring equipment for direct carbon emission sources. If it has the conditions for monitoring equipment for direct carbon emission sources, use mode 1 to measure carbon emissions. If it does not have the conditions for monitoring equipment for direct carbon emission sources, use mode 2 to measure carbon emissions. The steps also include: Model 2 is to install electricity meters at the enterprise's electricity consumption points and high-power electrical equipment without installing CEMS equipment at the flue gas emission outlet, and collect electricity data to form a carbon emission assessment model for the enterprise's electricity-carbon relationship.

5. The online carbon measurement method applicable to process industry according to claim 4, characterized in that: The carbon metering edge controller is used to collect the metering data of carbon emissions in real time, and the carbon emissions of process industrial enterprises are calculated through processing and conversion and reported to the carbon monitoring system. For mode 2, the load curve data of major power-consuming equipment is collected and reported to the carbon monitoring system. The steps also include: For mode 1, the auxiliary service demand and corresponding indirect carbon emissions generated randomly by new energy in the distributed power grid during the purchased electricity are calculated, and the indirect carbon emissions of purchased electricity and the carbon emissions of the auxiliary services related to the distributed power grid are obtained; Consider the impact of the measuring equipment and measuring environment on the uncertainty of the measurement results and assess their uncertainty; In view of the noise interference of the instrument measurement data, the filtering method is used to smooth and remove noise, evaluate its impact on data accuracy, and obtain the direct carbon emission data after the measurement results are processed.

6. The online carbon measurement method applicable to process industry according to claim 5, characterized in that: The carbon metering edge controller is used to collect the metering data of carbon emissions in real time, and the carbon emissions of process industrial enterprises are calculated through processing and conversion and reported to the carbon monitoring system. For mode 2, the load curve data of major power-consuming equipment is collected and reported to the carbon monitoring system. The steps also include: Through the load identification method based on machine learning, the power load is identified from the perspective of the total power consumption of the enterprise, and the results are optimized by combining some measurement data; By building complex regression models for each process flow to fit the relationship between carbon emissions and electricity, the direct carbon emissions of enterprises can be characterized from the perspective of electricity data. Combined with the real-time tracking of indirect carbon emissions from a company’s electricity consumption, an assessment of the company’s indirect carbon emissions is formed.

7. An online carbon metering system applicable to process industry, applied to the online carbon metering method applicable to process industry as claimed in claim 1.

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