Carbon dioxide emission accounting optimization method and system for light hydrocarbon reforming hydrogen production device
By setting up and analyzing the level of activity and factor parameters of CO2 emissions of hydrogen -making devices, the establishment of matching relationships is established to solve the problem of inaccurate calculation of the CO2 emissions volume of light hydrocarbon -based hydrogen -making devices in existing technologies, and realized efficient and accurate and accurate accurate and accurate CO2 emissions accounting.
Patent Information
- Application Number
- CN202310907600.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-24
- Publication Date
- 2025-01-24
AI Technical Summary
When calculating the comprehensive CO2 emissions of the light hydrocarbon reforming hydrogen production device, the CO2 emissions generated by the hydrogen production steam conversion reaction are ignored, and the hydrogen production PSA exhaust gas is not included in the accounting scope as the activity level, resulting in inaccurate accounting. .
By setting the parameter system of the level of activity and emissions factors of the hydrogen device CO2 emission, collect, analyze, and store related data, and set the matching rules between CO2 emissions and activity level parameters to develop a matching relationship based on the matching relationship CO2 emission optimization method of light hydrocarbon reorganization device.
The accurate accounting of CO2 emissions of light hydrocarbon reorganization device has been realized, and multiple data collection and analysis work is avoided, the efficiency of accounting work is improved, and a method of accurate calculation of CO2 emissions for petrochemical enterprises.
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Figure CN119357544A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of carbon emission calculation base, and in particular to a method and system for optimizing carbon dioxide emission calculation of a light hydrocarbon reforming hydrogen production device. Background Art
[0002] As a high-energy-density energy carrier, hydrogen has attracted much attention in energy transformation due to its clean and low-carbon energy properties. The International Energy Agency (IEA) pointed out in its Energy Technology Outlook that the CO 2 The emission reduction effect is to achieve the 2050 CO 2 It is expected that by 2050, the proportion of hydrogen in the world's energy consumption will reach 18%, and the CO2 reduction achieved by hydrogen substitution will reach 18%. 2 The emission reductions account for 20% of the world's total emissions reductions.
[0003] At present, fossil fuel reforming is the mainstream hydrogen production technology, accounting for more than 98% of hydrogen production, of which light hydrocarbon reforming accounts for more than 50%. In the process of light hydrocarbon reforming hydrogen production, the fuel combustion in the reformer, the reforming conversion reaction, and the medium-temperature shift reaction will all produce CO. 2 Therefore, the light hydrocarbon reforming hydrogen production process is accompanied by a large amount of CO 2 In order to give full play to the carbon reduction role of hydrogen in energy transformation, it is necessary to accurately calculate the hydrogen produced by light hydrocarbon reforming to quantify its CO 2 Emissions provide data support for the light hydrocarbon reforming hydrogen production unit to use low-carbon technology to produce low-carbon source hydrogen.
[0004] Currently, the mainstream hydrogen production process has been published to calculate CO2 for petrochemical enterprises. 2 However, it is a method for calculating the total CO2 emissions of production facilities. 2 For hydrogen production equipment, only CO2 emissions from industrial production processes are considered. 2 The method for calculating emissions does not specify how to fully calculate the CO emissions of hydrogen production plants. 2 Emissions, and for the industrial production process of hydrogen production equipment CO 2 The emission accounting method ignores the CO generated by the steam reforming reaction of hydrogen production, which should be included in the accounting. 2 Emissions, and this part of CO 2 Emissions in the hydrogen production unit are 2 The emissions account for a high proportion, which leads to the industrial production process of hydrogen production equipment CO 2 The calculation of emissions is inaccurate. 2The relevant reports on emission accounting methods have not included the hydrogen production PSA tail gas as an activity level in the accounting scope, and have not considered the CO2 generated by the hydrogen production PSA tail gas in the hydrogen production process. 2 Emissions and its use as a reformer fuel leads to combustion of CO 2 The actual situation of emissions has led to the 2 There are errors in the calculation results of emissions. 2 Emission accounting requires obtaining data such as fuel usage, fuel carbon content and its component analysis; raw material usage, raw material carbon content and its component analysis; synthesis gas production, synthesis gas carbon content and its component analysis; residue production, residue carbon content and its component analysis during the reporting period. In addition, obtaining component analysis and carbon content related data of fuel, raw materials, synthesis gas, residue, etc. requires certain analytical testing conditions to be met. The data is numerous, the workload is large, and the analytical testing conditions are high, which makes it difficult for many petrochemical companies to monitor and obtain data related to CO 2 If the default values given in the existing process are used, only partial data will be available. This will cause CO emissions to be inaccurate because the default values provided by the existing process under ideal conditions are quite different from the actual working conditions of petroleum refining enterprises. 2 The error between the emission accounting results and the actual situation is large. All these provide conditions for developing the carbon emission accounting optimization method and system for light hydrocarbon reforming hydrogen production equipment.
[0005] Therefore, the mainstream hydrogen production process has the problem of calculating the overall CO 2 The CO generated by the steam reforming reaction of hydrogen production is ignored in the emissions. 2 Emissions, hydrogen production PSA tail gas is not included in the accounting scope as an activity level, and the CO2 generated by hydrogen production PSA tail gas is not taken into account. 2 Emissions and its use as a reformer fuel leads to combustion of CO 2 The actual situation of emissions has led to the industrial production process of hydrogen production equipment CO 2 Inaccurate calculation of emissions leads to errors; and the calculation of CO in the mainstream hydrogen production process 2 Problems such as the large variety of emission-related data and the difficulty in obtaining them are urgent issues that technical personnel in this field need to solve. Summary of the invention
[0006] In view of the problems existing in the prior art, the object of the present invention is to provide a method for characterizing the CO 2 Parameter system for emission-related activity levels and emission factors, collection, analysis and storage of CO 2 Emission-related activity levels and emission factor parameter data, set CO 2The matching relationship rules between emissions and activity level parameters are used to calculate the CO emissions of the light hydrocarbon reforming hydrogen production unit based on the input activity level data and the matching relationship rules. 2 Methodology for calculating emissions.
[0007] To achieve the above object, the technical solution adopted by the present invention is: a method for optimizing carbon dioxide emission accounting of a light hydrocarbon reforming hydrogen production device, comprising the following steps:
[0008] Step 1: Based on the CO involved in the production process of the light hydrocarbon reforming hydrogen production unit 2 The categories of emission sources are combined with the CO 2 The actual situation of monitoring and obtaining emission-related data, CO 2 Setting up the emission-related activity level and emission factor parameter system;
[0009] Step 2: Light hydrocarbon reforming hydrogen production unit CO 2 Historical data on emission-related activity levels and corresponding emission factor parameters, CO 2 Collect, analyze, store and regularly update historical emissions data;
[0010] Step 3: CO2 reforming of light hydrocarbons to produce hydrogen 2 The emission was correlated with the relevant activity level data to determine the CO 2 The matching matrix between emissions and related activity levels clearly defines the CO 2 Matching rule relationships between emissions and relevant activity level parameters;
[0011] Step 4: Follow CO 2 The matching rules between emissions and relevant activity levels are based on the collected, analyzed and stored CO 2 Emissions and related activity level parameter data, determine the CO2 emissions of light hydrocarbon reforming hydrogen production units applicable to different matching rule relationships 2 The conversion relationship between emissions and relevant activity levels is obtained according to the screening rules, and the CO2 emission of light hydrocarbon reforming hydrogen production unit under different matching relationships is obtained. 2 The emission accounting formula is based on CO 2 CO emissions from light hydrocarbon reforming hydrogen production units based on matching analysis of emissions and related activity levels 2 Emission accounting matrix, CO2 emission calculation of light hydrocarbon reforming hydrogen production unit under different data monitoring conditions 2 Calculate emissions.
[0012] The above method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device comprises, in step 1, 2The emission-related activity level parameters include raw gas input, fuel gas consumption, hydrogen production, hydrogen production PSA tail gas production, and electricity consumption; the emission factors include raw gas carbon content, raw gas component content analysis, fuel gas carbon content, fuel gas component content analysis, hydrogen production carbon content, hydrogen production hydrogen component content analysis, hydrogen production PSA tail gas carbon content, hydrogen production PSA tail gas component content analysis, and electricity emission factors.
[0013] In the above method for optimizing the calculation of carbon dioxide emissions from light hydrocarbon reforming hydrogen production equipment, in step 2, if the light hydrocarbon reforming hydrogen production equipment CO 2 When there is no historical data on emissions, calculate the CO emissions of the light hydrocarbon reforming hydrogen production unit under different activity levels and emission factor parameters. 2 Emissions, the formula is:
[0014]
[0015] Among them, E CO2 Comprehensive CO 2 Emissions, F in is the fuel gas input, F c is the carbon content of fuel gas, T out is the PSA tail gas output for hydrogen production, T c(非CO2) To remove CO from PSA tail gas for hydrogen production 2 Carbon content of other carbon-containing gas components other than c(CO2) CO in the tail gas of hydrogen production PSA 2 The carbon content of the fuel gas is n, i is the i-th carbon-containing gas component in the fuel gas, i′ is the carbon-containing gas component in the PSA tail gas except CO 2 The i′th carbon-containing gas component, except CO 2 There are n types of external carbon-containing gas components, j is the jth gas component in the fuel gas, and all gas components in the fuel gas are m, j' is the j'th gas component in the hydrogen production PSA tail gas, and all gas components in the hydrogen production PSA tail gas are m, V t is the volume concentration of the i-th carbon-containing gas component in the fuel gas, V j is the volume concentration of the jth gas component of the fuel gas, C i is the number of carbon atoms in the molecular formula of the i-th carbon-containing gas component in the fuel gas, Mr j is the molecular weight of the jth gas component in the fuel gas, V i′(非CO2) To remove CO from PSA tail gas for hydrogen production 2 The volume concentration of the i′th carbon-containing gas component outside the i , is the amount of CO in PSA tail gas 2 The number of carbon atoms in the molecular formula of the i′th carbon-containing gas component other than j, is the volume concentration of the j′th gas component in the hydrogen production PSA tail gas, Mr j′ is the molecular weight of the j′th gas component in the hydrogen production PSA tail gas, V CO2 CO in PSA tail gas for hydrogen production 2 The volume concentration, P in is the power consumption, P 电力 is the electricity emission factor.
[0016] The above-mentioned method for optimizing carbon dioxide emission calculation of light hydrocarbon reforming hydrogen production device includes, in step three,
[0017] Step 3-1: Determine CO 2 The correlation r between emissions and relevant activity level parameters is used as the CO 2 Basis for matching emissions to relevant activity levels, Where y represents CO 2 Emissions parameter value, Represents CO 2 The mean value of the emission parameter; x represents the parameter value of the relevant activity level; represents the mean value of the relevant activity level parameter; i represents the i-th value of the relevant activity level parameter and the corresponding CO 2 Emissions value;
[0018] Step 3-2: Conduct correlation analysis on CO2 emissions from light hydrocarbon reforming hydrogen production unit, hydrogen production, PSA tail gas production, electricity consumption, raw gas input, fuel gas consumption and other activity levels, and 2 The emissions were matched with the correlation r value of relevant activity level parameters to construct the CO 2 Matrix matching emissions to relevant activity levels.
[0019] The above method for calculating and optimizing carbon dioxide emissions from light hydrocarbon reforming hydrogen production equipment, in step 3-2, according to the light hydrocarbon reforming hydrogen production equipment CO 2 When matching the correlation r value of emissions with the relevant activity level parameter, the relevant activity level affects CO 2 The number of factors of emissions is analyzed to determine the effect of different numbers of related activity level factors on CO 2 How emissions are affected.
[0020] The above-mentioned method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device, the step 4 comprises:
[0021] Step 4-1: Determine the CO 2 The calculation formula of emissions is based on the CO 2Statistical analysis results of emissions and related activity levels, combined with CO 2 Matching rules between emissions and activity level parameters, and carry out CO 2 Single or multiple regression analysis of emissions and different activity levels and emission factor parameters to determine the CO of hydrogen production equipment under different matching relationships. 2 Emissions calculation formula;
[0022] Step 4-2: Hydrogen production unit CO 2 Emissions are calculated based on the CO 2 The emission and activity level parameter matching relationship rules are based on the CO 2 Emission-related activity level parameter data, select the CO of hydrogen production unit under different matching relationships determined by univariate or multivariate regression analysis 2 The calculation method of emissions is to calculate the CO 2 Emissions, determine the CO 2 Emissions.
[0023] The above-mentioned method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device, step 4-1 comprises:
[0024] a: Light hydrocarbon reforming hydrogen production unit CO 2 The specific steps of regression analysis of emissions and activity level parameters are as follows:
[0025] 1) In the light hydrocarbon reforming hydrogen production unit, CO 2 Under the one-dimensional matching relationship between the emission and the relevant activity level parameters of raw material input, fuel input, hydrogen production, and hydrogen production PSA tail gas production, a one-dimensional regression analysis was carried out: Y1=a0+a1X, where: Y1 represents the CO2 of the light hydrocarbon reforming hydrogen production unit 2 Emissions, X represents the univariate activity level parameter value, a0 is the matching constant between Y and X, and α1 is the matching coefficient between Y and X;
[0026] 2) In the light hydrocarbon reforming hydrogen production unit, CO 2 Under the matching relationship between the binary activity level parameters related to emissions and raw material input and fuel input, raw material input and hydrogen production, raw material input and hydrogen production PSA tail gas production, fuel input and hydrogen production PSA tail gas production, fuel input and hydrogen production, hydrogen production and hydrogen production PSA tail gas production, binary regression analysis is carried out: Y2 = b0 + b1X 1 +b2X 2 , where: Y2 represents CO 2 Emissions, X1, X2 represent binary activity level parameter values, b0 is Y and X 1 and X 2Activity level parameter matching constant, b1 for Y and X 1 The matching coefficient of Y and X 2 The matching coefficient of
[0027] 3) In the light hydrocarbon reforming hydrogen production unit, CO 2 Under the matching relationship between the ternary activity level parameters related to emissions and raw material input, fuel input and hydrogen production PSA tail gas output, raw material input, fuel input and hydrogen production, raw material input, hydrogen production PSA tail gas output and hydrogen production, fuel input, hydrogen production PSA tail gas output and hydrogen production, a ternary regression analysis was carried out: Y3 = c0 + c1X 1 +c2X 2 +c3X 3 , where: Y3 represents CO 2 Emissions, X1, X2, X3, represent the three-dimensional activity level parameter values, c0 is Y and X 1 , X 2 and X 3 Activity level parameter matching constant, c1 for Y and X 1 The matching coefficient of Y and X is 2 The matching coefficient of Y and X is c3. 3 The matching coefficient of
[0028] b: CO under different matching relationships 2 The regression analysis results of emissions and activity levels were taken using R 2 Value screening to determine CO 2 Emissions calculation formula Where: R 2 represents the coefficient of determination, represents the CO calculated from the activity level parameter value of group i 2 Emissions forecast, Y i represents the CO corresponding to the i-th group of activity level parameters used for matching analysis 2 Actual emissions, Represents CO used for matching analysis 2 Average emission values.
[0029] In the above-mentioned method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device, step 4-2 comprises:
[0030] c: Calculate CO separately according to the data acquisition of activity level factors 2 Emissions, the specific steps are:
[0031] If one-dimensional activity level data is obtained, CO 2 The emissions are:
[0032] Y1=a0+a1X;
[0033] If binary activity level data are obtained, calculate CO 2 The emissions are:
[0034] Y1=a0+a1X,
[0035] Y2=b0+b1X1+b2X2;
[0036] If three-dimensional activity level data is obtained, CO 2 The emissions are:
[0037] Y1=a0+a1X,
[0038] Y2=b0+b1X 1 +b2X 2 ,
[0039] Y3=c0+c1X 1 +c2X 2 +c3X 3 ;
[0040] d: According to the determined CO 2 The calculation results of the emission amount are as follows: CO 2 Emissions,
[0041] in: For CO 2 Emissions, Y i CO 2 Emissions, i is the number of activity level factors, which can be 1, 2 or 3.
[0042] In the above-mentioned light hydrocarbon reforming hydrogen production device carbon dioxide emission accounting optimization method, the r value and correlation judgment criteria are: r value is 0.8-1.0, extremely strong correlation; r value is 0.6-0.8, strong correlation; r value is 0.4-0.6, medium correlation; r value is 0.2-0.4, weak correlation; r value is 0.0-0.2, very weak correlation or no correlation.
[0043] A carbon emission accounting optimization system for a light hydrocarbon reforming hydrogen production device, which runs any of the above-mentioned carbon dioxide emission accounting optimization methods for a light hydrocarbon reforming hydrogen production device, comprises:
[0044] CO2 emission related activity level and emission factor parameter module: According to the CO2 emission related activity level and emission factor parameter module, 2 The categories of emission sources are combined with the CO 2 The actual situation of monitoring and obtaining emission-related data, CO 2Setting up the emission-related activity level and emission factor parameter system;
[0045] CO2 emission related data collection, analysis and storage module: CO2 emission related data collection and analysis module 2 Emission-related activity levels, hydrogen production plant CO 2 Emission factor parameter historical data, hydrogen production unit CO 2 Collect, analyze, store and regularly update historical emissions data;
[0046] CO 2 Emission-related parameter matching module: for light hydrocarbon reforming hydrogen production unit CO 2 The emissions were correlated with relevant activity data to determine the CO 2 The emissions are set based on a matching matrix with relevant activity levels, which clearly defines CO 2 Matching rules between emissions and relevant activity level parameters;
[0047] CO 2 Emissions accounting module: According to CO 2 The matching relationship between emissions and relevant activity levels is based on the CO2 collected, analyzed and stored 2 Emissions and related activity level parameter data to determine the CO2 emissions of hydrogen production units suitable for different matching relationships. 2 The conversion relationship between emissions and relevant activity levels and emission factor parameters is obtained according to the screening rules to obtain the CO2 emissions of light hydrocarbon reforming hydrogen production units under different matching relationships. 2 The emission accounting formula is based on CO 2 CO emissions from hydrogen production plants matched with relevant activity levels 2 Emission accounting matrix, CO2 emission calculation of hydrogen production unit under different data monitoring conditions 2 Calculate emissions.
[0048] The beneficial effects of the carbon dioxide emission calculation optimization method of a light hydrocarbon reforming hydrogen production device of the present invention are:
[0049] This technical solution combines the production practice of light hydrocarbon reforming hydrogen production unit of petrochemical enterprises to use hydrogen production PSA tail gas as part of the reformer combustion gas to develop a comprehensive CO 2 The emission accounting method can be used for CO2 emission calculation of light hydrocarbon reforming hydrogen production units with the same production process. 2 Provide a basis for emission accounting.
[0050] This technical solution develops a light hydrocarbon reforming hydrogen production unit based on matching relationship 2 The emission accounting optimization method realizes the CO2 emission reduction of the hydrogen production unit based on the light hydrocarbon reforming process. 2The one-dimensional and multi-dimensional activity level data related to emissions (which can be obtained through production statistical reports) can accurately calculate the CO2 emissions of light hydrocarbon reforming hydrogen production units. 2 This helps to avoid a lot of data collection and analysis work and effectively improve the CO2 emission reduction of light hydrocarbon reforming hydrogen production units. 2 Emissions accounting efficiency.
[0051] This technical solution provides a way for petrochemical enterprises that do not have the conditions for analyzing and testing the carbon content and components of raw materials, fuels, and products to accurately calculate the CO content of light hydrocarbon reforming hydrogen production units. 2 The method of emission reduction can be used in the case of a hydrogen production unit with only CO2 and light hydrocarbon reforming. 2 Based on the one-dimensional and multi-dimensional activity level data related to emissions, the CO2 of hydrogen production units can be accurately calculated. 2 Emissions, which can be obtained through production statistical reports. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] Figure 1 It is a component module of the carbon emission accounting system for light hydrocarbon reforming hydrogen production of the present invention;
[0053] Figure 2 The light hydrocarbon reforming hydrogen production CO 2 Emission-related activity levels and emission factor parameter systems;
[0054] Figure 3 The light hydrocarbon reforming hydrogen production CO 2 Matrix diagram matching emissions to relevant activity levels;
[0055] Figure 4 The present invention is based on CO 2 CO emissions from light hydrocarbon reforming hydrogen production units based on matching analysis of emissions and related activity levels 2 Emissions accounting matrix diagram. DETAILED DESCRIPTION
[0056] In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention is described below in conjunction with specific implementation methods and drawings.
[0057] In view of the technical problems existing in the prior art, this technical solution is committed to developing a method and system for optimizing carbon dioxide emissions from light hydrocarbon reforming hydrogen production equipment. 2 Actual emission sources, optimize the development of light hydrocarbon reforming hydrogen production unit CO 2 Emission accounting method, and through the establishment of light hydrocarbon reforming hydrogen production unit and CO 2 Emission-related activity levels and emission factor parameter systems, establish CO 2 The matching relationship rules between emissions and related activity levels are scientifically constructed to 2The model of the relationship between emissions and related activity levels is developed to form a parameter module consisting of the activity level and emission factor of the hydrogen production unit, CO 2 Emission-related data collection, analysis, and storage module, CO 2 Emissions and activity level parameter matching module, and CO 2 Emission accounting module consists of light hydrocarbon water vapor CO 2 The emission accounting system realizes accurate accounting of light hydrocarbon reforming hydrogen production units, and provides data support for the light hydrocarbon reforming hydrogen production units to use low-carbon technology to produce low-carbon source hydrogen.
[0058] This technical solution includes four modules, namely, the hydrogen production unit activity level and emission factor parameter module, the hydrogen production unit CO 2 Emission-related data collection, analysis, and storage module, hydrogen production unit CO 2 Emissions and activity level parameter matching module, as well as hydrogen production unit CO 2 Emissions accounting module.
[0059] The hydrogen production unit activity level and emission factor parameter module is used to set the CO 2 Parameter system for emission-related activity levels and emission factors; CO 2 Emission-related data collection, analysis, and storage modules are used to collect, analyze, and store CO 2 Emission-related activity levels and emission factor parameter data; Hydrogen production unit CO 2 The emission and activity level parameter matching module is used to set the CO 2 Matching relationship rules between emissions and activity level parameters; CO 2 The emission calculation module is used to calculate the CO emissions of the light hydrocarbon reforming hydrogen production unit based on the input activity level data and matching relationship rules. 2 Emissions.
[0060] like Figure 1-4 As shown, a method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device comprises the following steps:
[0061] Step 1: If Figure 2 As shown, according to the CO involved in the production process of light hydrocarbon reforming hydrogen production unit 2 The categories of emission sources are combined with the CO 2 The actual situation of monitoring and obtaining emission-related data, CO 2 The emission-related activity level and emission factor parameter system are set.
[0062] Among them, CO 2 Emission-related activity level parameters include raw gas input (Min ), fuel gas consumption (F in ), hydrogen production (H out ), Hydrogen production PSA tail gas output (T out ), and power consumption (P in ) and other parameters; emission factors include the carbon content of raw gas (M c ), Raw gas component content analysis M v , fuel gas carbon content (F c ), fuel gas component content analysis (F v ), the carbon content of hydrogen produced (H c ), analysis of hydrogen gas composition (H v ), Carbon content of hydrogen production PSA tail gas (T c ), Analysis of the content of components in the tail gas of hydrogen production PSA (T v ), electricity emission factor (P 电力 )wait.
[0063] Step 2: Light hydrocarbon reforming hydrogen production unit CO 2 Historical data on emission-related activity levels and corresponding emission factor parameters, CO 2 Historical emission data are collected, analyzed, stored, and updated regularly.
[0064] If the light hydrocarbon reforming hydrogen production unit CO 2 When there is no historical data on emissions, the CO emissions of the light hydrocarbon reforming hydrogen production unit under different activity levels and emission factor parameter conditions are calculated according to formula (1). 2 The calculation method fully considers the CO2 emissions from the hydrogen production process generated by the tail gas of hydrogen production PSA. 2 Emissions and its use as a reformer fuel leads to combustion of CO 2 The actual production situation of emissions can more accurately calculate the CO 2 This step collects, analyzes, and stores CO emissions from the light hydrocarbon reforming hydrogen production unit. 2 Emissions and related activity levels and emission factor parameter data can be used to develop light hydrocarbon reforming hydrogen production units CO 2 The correlation analysis between emissions and relevant activity level parameters provides data support.
[0065]
[0066] Among them, E CO2 Comprehensive CO 2 Emissions, F in is the fuel gas input, F c is the carbon content of fuel gas, T outis the PSA tail gas output for hydrogen production, T c(非CO2) To remove CO from PSA tail gas for hydrogen production 2 Carbon content of other carbon-containing gas components other than c(CO2) CO in the tail gas of hydrogen production PSA 2 The carbon content of the fuel gas is n, i is the i-th carbon-containing gas component in the fuel gas, i′ is the carbon-containing gas component in the PSA tail gas except CO 2 The i′th carbon-containing gas component, except CO 2 There are n types of external carbon-containing gas components, j is the jth gas component in the fuel gas, and all gas components in the fuel gas are m, j′ is the j′th gas component in the hydrogen production PSA tail gas, and all gas components in the hydrogen production PSA tail gas are m, V i is the volume concentration of the i-th carbon-containing gas component in the fuel gas, V j is the volume concentration of the jth gas component of the fuel gas, C i is the number of carbon atoms in the molecular formula of the i-th carbon-containing gas component in the fuel gas, Mr j is the molecular weight of the jth gas component in the fuel gas, V i′(非CO2) To remove CO from PSA tail gas for hydrogen production 2 The volume concentration of the i′th carbon-containing gas component outside the i , is the amount of CO in PSA tail gas 2 The number of carbon atoms in the molecular formula of the i′th carbon-containing gas component other than j′ is the volume concentration of the j′th gas component in the hydrogen production PSA tail gas, Mr j′ is the molecular weight of the j′th gas component in the hydrogen production PSA tail gas, V CO2 CO in PSA tail gas for hydrogen production 2 The volume concentration, P in is the power consumption, P 电力 is the electricity emission factor.
[0067] Step 3: Use correlation analysis method to analyze the CO 2 The emissions were correlated with relevant activity level data to determine the CO 2 Quantification of the correlation between emissions and relevant activity levels, determining the CO 2 The matching matrix between emissions and related activity levels clearly defines the CO 2 Matching rule relationships between emissions and related activity level parameters.
[0068] According to the light hydrocarbon reforming hydrogen production unit CO 2 Emissions (E CO2 ) and historical data on relevant activity levels, and the CO 2Emissions (E CO2 ) and related activity level data to determine CO 2 Emissions (E CO2 ) is set based on a matching matrix with relevant activity levels, which specifies the CO 2 Emissions (E CO2 ) and the matching rules between relevant activity level parameters. CO 2 Emissions (E CO2 ) can be matched with relevant activity level parameters and provide a basis for the CO 2 The emission calculation module selects different CO 2 Emissions accounting model to achieve CO 2 It provides a basis for the calculation of emissions.
[0069] 3.1 According to the calculation formula (2), CO 2 Correlation analysis between emissions and relevant activity level parameters. 2 The correlation analysis between the emission and relevant activity level parameters was carried out by collecting the CO 2 The emission and related activity level parameter data are analyzed according to the calculation formula (2) to obtain CO 2 Results of the correlation analysis between emissions and relevant activity levels. 2 It provides a basis for the matching relationship between emissions and related activity level parameters.
[0070] 3.1.1CO 2 The correlation between emissions and relevant activity level parameters is determined according to formula (2), and the r value is used as the CO 2 Basis for matching emissions to relevant activity levels.
[0071] Where y represents CO 2 Emissions parameter value, Represents CO 2 The mean value of the emission parameter; x represents the parameter value of the relevant activity level; represents the mean value of the relevant activity level parameter; i represents the i-th value of the relevant activity level parameter and the corresponding CO 2 Emissions value. If the enterprise has such historical data, it can directly use the historical data. If the enterprise does not have historical data, it can use a formula to calculate the y value based on the x value.
[0072] Among them, CO 2 The results of the correlation analysis between emissions and relevant activity levels are as follows: CO 2 Emissions (E CO2 ) and raw material input (M in) has a linear correlation of r ＝ 0.978, CO 2 Emissions (E CO2 ) and fuel input (F in ) has a linear correlation of r = 0.99, CO 2 Emissions (E CO2 ) and hydrogen production (H out ) has a linear correlation of r = 0.969, CO 2 Emissions (E CO2 ) and the PSA tail gas output (T out ) has a linear correlation of r = 0.984.
[0073] In the case of no historical data, the first formula uses activity levels to calculate CO2 emissions, and the CO2 emissions in formula (2) come from the calculated value of the first formula, and the correlation between activity levels and CO2 emissions is analyzed.
[0074] In the case of historical data, formula (2) is used to directly analyze the correlation between activity level and CO2 emissions. In this case, (2) has no correlation with the first formula.
[0075] 3.1.2 According to formula (1), CO 2 Emissions (E CO2 ) and raw gas input (M in ), fuel gas consumption (F in ), hydrogen production (H out ), Hydrogen production PSA tail gas output (T out ), and power consumption (P in ) and other correlation analysis, and according to CO 2 Emissions (E CO2 ) is matched with the condition that the relevant activity level parameter r is extremely correlated, that is, if CO 2 Emissions (E CO2 ) and raw gas input (M in ), fuel gas consumption (F in ), hydrogen production (H out ) and other activity level parameter values are all highly correlated. 2 In terms of matching emissions with one-dimensional activity level parameters, CO 2 The emission can be compared with the raw gas input (M in ), fuel gas consumption (F in ), hydrogen production (H out ) and other one-dimensional activity level parameters; in CO 2 Emissions (E CO2) and binary activity level parameters, CO 2 The emission can be compared with the raw gas input (M in ) and fuel gas consumption (F in ), raw gas input (M in ) and hydrogen production (H out ), fuel gas consumption (F in ) and hydrogen production (H out ) and other binary activity level parameters; in CO 2 In terms of matching emissions with the three-element activity level parameters, CO 2 Emissions and raw gas input (M in ), fuel gas consumption (F in ), hydrogen production (H out ) can be used to match the three-dimensional activity level parameters. Among them, the criteria for determining the r value and correlation are as follows:
[0076] If: the r value is 0.8-1.0, it is a very strong correlation; the r value is 0.6-0.8, it is a strong correlation; the r value is 0.4-0.6, it is a moderate correlation; the r value is 0.2-0.4, it is a weak correlation; the r value is 0.0-0.2, it is very weak correlation or there is no correlation.
[0077] 3.2: Correlation analysis is conducted on CO2 emissions from light hydrocarbon reforming hydrogen production units, hydrogen production, PSA tail gas production, electricity consumption, raw gas input, fuel gas consumption and other activity levels, and the CO2 emissions from light hydrocarbon reforming hydrogen production units are analyzed. 2 The emissions were matched with the correlation r value of relevant activity level parameters to construct the CO 2 Matrix matching emissions to relevant activity levels.
[0078] According to the correlation analysis results, the CO 2 The matching relationship between emissions and relevant activity levels forms CO 2 The emission and one-, two-, and three-dimensional activity level parameter matching matrix is as follows: Figure 3 shown.
[0079] Among them, CO 2 The matching relationship between emissions and unit activity level is as follows: CO 2 Emissions (E CO2 ) can be compared with the raw material input (M in )OR can be compared with the fuel input (F in )OR can be related to the hydrogen production (H out )OR can be compared with the PSA tail gas output (T out ) matches.
[0080] CO 2 The matching relationship between emissions and binary activity levels is as follows: CO 2 Emissions (E CO2 ) can be compared with the raw material input (M in ) and fuel input (F in )OR can be compared with the fuel input (F in ) and hydrogen production PSA tail gas output (T out )OR can be related to the hydrogen production (H out ) and hydrogen production PSA tail gas output (T out )OR can be compared with the raw material input (M in ) and hydrogen production (H out )OR can be compared with the raw material input (M in ) and hydrogen production PSA tail gas output (T out ); OR can be related to the fuel input (F in ) and hydrogen production (H out ) matches.
[0081] CO 2 The matching relationship between emissions and ternary activity levels is as follows: CO 2 Emissions (E CO2 ) can be compared with the raw material input (M in ), fuel input (F in ) and hydrogen production PSA tail gas output (F out )OR can be compared with the raw material input (M in ), fuel input (F in ) and hydrogen production (T out )OR can be compared with the raw material input (M in ), hydrogen production (H out ) and hydrogen production PSA tail gas output (T out )OR can be compared with the fuel input (F in ), hydrogen production (H out ) and hydrogen production PSA tail gas output (T out ) matches.
[0082] Step 4: CO2 from the light hydrocarbon reforming unit 2 Historical data on emissions and related activity levels, in terms of CO 2 The matching relationship between emissions and related activity level parameters was analyzed by regression analysis, and the CO emissions of light hydrocarbon reforming hydrogen production units under different matching relationships were obtained. 2 The calculation formula of emissions is that petrochemical enterprises choose different CO 2 The calculation formula of emissions is based on the calculation of CO 2 Emissions.2 The matching rules between emissions and relevant activity levels are based on the collected, analyzed and stored CO 2 Emissions and related activity level parameter data, determine the CO2 emissions of light hydrocarbon reforming hydrogen production units applicable to different matching rule relationships 2 The conversion relationship between emissions and relevant activity levels is obtained according to the screening rules, and the CO2 emission of light hydrocarbon reforming hydrogen production unit under different matching relationships is obtained. 2 The emission accounting formula is based on CO 2 CO emissions from light hydrocarbon reforming hydrogen production units based on matching analysis of emissions and related activity levels 2 Emission accounting matrix to meet the needs of petrochemical enterprises with different data monitoring conditions for CO2 emissions from hydrogen production units 2 The need to calculate emissions.
[0083] 4.1 Hydrogen production unit CO 2 The calculation formula for emissions is determined.
[0084] According to the hydrogen production unit CO 2 Statistical analysis results of emissions and related activity levels, combined with CO 2 Matching rules between emissions and activity level parameters, and carry out CO 2 Single or multiple regression analysis of emissions and different activity levels and emission factor parameters to determine the CO of hydrogen production equipment under different matching relationships. 2 The calculation formula of emissions is based on the determined CO 2 Emissions and activity levels, based on the CO2 emissions from light hydrocarbon reforming hydrogen production plants 2 Based on the emission and activity data, the CO 2 The univariate, bivariate and trivariate regression analysis of emissions and related activity levels, and the R determined according to formula (6) 2 Value for CO 2 The emission accounting formula is screened and R 2 CO value ≥ 0.95 2 The emission calculation formula is determined as the CO2 emission of the light hydrocarbon reforming hydrogen production unit that meets the requirements. 2 The emission calculation formula is as follows:
[0085] 4.1.1 Light hydrocarbon reforming hydrogen production unit CO 2 Regression analysis of emissions and activity level parameters
[0086] 1) In CO 2 Emissions (E CO2 ) and raw material input (M in ), fuel input (F in ), hydrogen production (Hout ), Hydrogen production PSA tail gas output (T out ) and other activity level parameters, a univariate regression analysis is carried out according to formula (3):
[0087] Y1=a0+a1X (3),
[0088] Where: Y1 represents CO 2 Emissions (E CO2 ), X represents the value of a univariate activity level parameter, such as the raw material input (M in ), fuel input (F in ), hydrogen production (H out ), Hydrogen production PSA tail gas output (T out ) and other activity level parameter values, a0 is Y(E CO2 ) and X (activity level parameter), a1 is the matching constant of Y (E CO2 ) and X (activity level parameter).
[0089] 2) In the light hydrocarbon reforming hydrogen production unit, CO 2 Emissions and raw material input (M in ) and fuel input (F in );and the raw material input (M in ) and hydrogen production (H out );and the raw material input (M in ) and hydrogen production PSA tail gas output (T out );and fuel input (F in ) and hydrogen production PSA tail gas output (T out );and fuel input (F in ) and hydrogen production (H out );and hydrogen production (H out ) and hydrogen production PSA tail gas output (T out ) and other binary activity level parameters, binary regression analysis is carried out according to formula (4):
[0090] Y2=b0+b1X 1 +b2X 2 (4)
[0091] Where: Y2 represents CO 2 Emissions (E CO2 ), X1 and X2 represent binary activity level parameter values, such as raw material input (M in ) and fuel input (F in ), raw material input (M in ) and hydrogen production (H out ), raw material input (M in) and hydrogen production PSA tail gas output (T out ), fuel input (F in ) and hydrogen production PSA tail gas output (T out ) and other activity level parameters, fuel input (F in ) and hydrogen production (H out ), hydrogen production (H out ) and hydrogen production PSA tail gas output (T out ), b0 is Y(E CO2 ) and X 1 and X 2 The matching constant of the activity level parameter, b1 is Y(E CO2 ) and X 1 (activity level parameter) matching coefficient, b2 is Y(E CO2 ) and X 2 (activity level parameter) matching coefficient.
[0092] 3) CO 2 Emissions and raw material input (M in ), fuel input (F in ) and hydrogen production PSA tail gas output (T out ), and the raw material input (M in ), fuel input (F in ) and hydrogen production (H out ), and the raw material input (M in ), Hydrogen production PSA tail gas output (T out ) and hydrogen production (H out ), and the fuel input (F in ), Hydrogen production PSA tail gas output (T out ) and hydrogen production (H out ) and other three-dimensional activity level parameters, a three-dimensional regression analysis is carried out according to formula (5): Y3 = c0 + c1X 1 +c2X 2 +c3X 3 (5)
[0093] Where: Y3 represents CO 2 Emissions (E CO2 ), X1, X2, X3, represent the three-dimensional activity level parameter values, such as raw material input (M in ), fuel input (F in ) and hydrogen production PSA tail gas output (T out ), raw material input (M in ), fuel input (F in ) and hydrogen production (H out ), raw material input (Min ), Hydrogen production PSA tail gas output (T out ) and hydrogen production (H out ), fuel input (F in ), Hydrogen production PSA tail gas output (T out ) and hydrogen production (H out ), c0 is Y(E CO2 ) and X 1 , X 2 and X 3 The matching constant of the activity level parameter, c1 is Y(E CO2 ) and X 1 (activity level parameter), c2 is the matching coefficient of Y(E CO2 ) and X 2 (activity level parameter), c3 is the matching coefficient of Y(E co2 ) and X 3 (activity level parameter) matching coefficient.
[0094] 4.1.2 Light hydrocarbon reforming hydrogen production unit CO 2 The screening of emission accounting formula. 2 The regression analysis results of emissions and activity levels are as follows: R 2 Value screening to determine CO 2 Emissions accounting formula.
[0095] Where: R 2 represents the coefficient of determination, represents the CO calculated according to formula (3)(4)(5) for the activity level parameter value of group i 2 Emissions (E CO2 ) predicted value, Y i represents the CO corresponding to the i-th group of activity level parameters used for matching analysis 2 Emissions (E CO2 ) actual value, Represents CO used for matching analysis 2 Emissions (E CO2 )average value.
[0096] To ensure the CO 2 The accurate calculation of emissions will be 2 Value ≥ 0.95 as CO of light hydrocarbon reforming hydrogen production unit 2 The screening conditions of the emission accounting formula, that is, in R 2 When the value is ≥0.95, the CO 2 Emission screening includes CO2 from light hydrocarbon reforming hydrogen production unit 2Emissions accounting matrix.
[0097] 4.2 CO2 from light hydrocarbon reforming hydrogen production unit in petrochemical enterprises 2 Petrochemical enterprises with different data monitoring conditions shall calculate the CO emissions of the light hydrocarbon reforming hydrogen production unit according to the determined 2 The emission and activity level parameter matching relationship rules are based on the CO 2 Emission-related activity level parameter data, select (3)(4)(5) and other light hydrocarbon reforming hydrogen production units CO 2 The emission calculation formula is used to calculate the CO 2 Emissions, and determine the CO of the hydrogen production unit according to formula (7) 2 Emissions.
[0098] 4.2.1 According to the activity level parameter data acquisition, select formula (3), (4) and (5) to calculate the CO of the light hydrocarbon reforming hydrogen production unit. 2 Emissions.
[0099] If the one-dimensional activity level data is obtained, the CO of the light hydrocarbon reforming hydrogen production unit can be calculated according to formula (3). 2 Emissions:
[0100] Y1=a0+a1X (3),
[0101] If binary activity level data is obtained, the CO of the light hydrocarbon reforming hydrogen production unit can be calculated according to formulas (3) and (4). 2 Emissions:
[0102] Y1=a0+a1X (3),
[0103] Y2=b0+b1X 1 +b2X 2 (4)
[0104] If the ternary activity level data is obtained, the CO of the light hydrocarbon reforming hydrogen production unit can be calculated according to formulas (3), (4), and (5). 2 Emissions:
[0105] Y1=a0+a1X (3),
[0106] Y2=b0+b1X 1 +b2X 2 (4)
[0107] Y3=c0+c1X 1 +c2X 2 +c3X 3 (5)
[0108] 4.2.2 According to the light hydrocarbon reforming hydrogen production unit CO determined according to formula (3)(4)(5) 2 The calculation results of the emission are as follows: CO 2 Emissions.
[0109] in: CO for light hydrocarbon reforming hydrogen production unit 2 Emissions, Y i is the CO of the light hydrocarbon reforming hydrogen production unit calculated according to formulas (3), (4), and (5). 2 Emissions, i is the activity level number, which can be 1, 2, or 3.
[0110] Specifically, CO 2 The one-yuan activity level accounting formula for emissions is as follows:
[0111] The amount of raw gas input (M in ) Calculation of CO 2 The emission formula is:
[0112] E CO2 =614.58+2.47M in (8)R 2＝ 0.952;
[0113] Fuel input (F in ) Calculation of CO 2 The emission formula is:
[0114] E CO2 =225.93+3.28F in (9)R 2 =0.98
[0115] The hydrogen production (H out ) Calculation of CO 2 The emission formula is:
[0116] E Co2 =592.27+7.78H out (10)R 2 =0.950
[0117] The output of hydrogen production PSA tail gas (T out ) Calculation of CO 2 The emission formula is:
[0118] E co2 =890.06+3.60T out (11)R 2 =0.964;
[0119] CO2 The binary activity level accounting formula for emissions is as follows:
[0120] The amount of raw material input (M in ), fuel input (F in ) Calculation of CO 2 The formula for emissions is:
[0121] E co2 =175.86-0.95M in +4.52F iπ (12)R 2 =0.98;
[0122] The amount of raw material input (M in ), hydrogen production (H out ) Calculation of CO 2 The formula for emissions is:
[0123] E CO2 =384.74+3.72M in -3.96H out (13)R 2 =0.962
[0124] The amount of raw material input (M in ), Hydrogen production PSA tail gas output (T out ) Calculation of CO 2 The formula for emissions is:
[0125] E CO2 =913.11-0.14M in +3.g1T out (14)R 2 =0.96
[0126] Fuel input (F in ) and hydrogen production PSA tail gas output (T out ) Calculation of CO 2 The formula for emissions is:
[0127] E co2 =171.52+3.63F in -0.39T out (15)R 2 =0.978
[0128] Fuel input (F in ) and hydrogen production H 2 Output (H out ) Calculation of CO 2 The formula for emissions is:
[0129] E CO2=90.65+3.62F in -0.81H out (16)R 2 =0.982
[0130] The hydrogen production (H out ), Hydrogen production PSA tail gas output (T out ) Calculation of CO 2 The formula for emissions is:
[0131] E CO2 =446.04+3.76T out -0.11H out (17)R 2 =0.96
[0132] CO 2 The three-element activity level accounting formula for emissions is as follows:
[0133] The amount of raw material input (M in ), fuel input (F in ) and hydrogen production PSA tail gas output (T out ) Calculation of CO 2 The formula for emissions is:
[0134] E CO2 =279.99-1.29M in +4.16F in +0.89T out (18)R 2 =0.979
[0135] The amount of raw material input (M in ), fuel input (F in ) and hydrogen production (H out ) Calculation of CO 2 The formula for emissions is:
[0136] E CO2 =89.37-0.03M in +3.64F in -0.75H out (19)R 2 =0.978
[0137] The amount of raw material input (M in ), hydrogen production (H out ), Hydrogen production PSA tail gas output (T out ) Calculation of CO 2 The formula for emissions is:
[0138] e CO2 =46.03Min -43.97T out -45.17H out -265.59(20)R 2 =0.969
[0139] Fuel input (F in ), hydrogen production (H out ), Hydrogen production PSA tail gas output (T out ) Calculation of CO 2 The formula for emissions is:
[0140] E CO2 =3.79F in -0.27T out -0.65H out +77.14 (21)R 2 =0.979
[0141] The R 2 CO values ≥ 0.95 for screening criteria 2 The emission calculation formula includes the CO 2 Emission accounting matrix, such as Figure 4 shown.
[0142] Step 4.3 Petrochemical enterprise hydrogen production unit CO 2 Emissions accounting. Petrochemical enterprises with different data monitoring and acquisition conditions shall calculate the CO 2 Emission-related activity level data, select different light hydrocarbon reforming hydrogen production unit CO 2 Emissions calculation formula, calculation of CO emissions from light hydrocarbon reforming hydrogen production unit 2 Emissions.
[0143] 4.3.1 If the raw gas input amount (M in ) and fuel gas input (F in ) activity level data, and calculate the CO of the light hydrocarbon reforming hydrogen production unit according to the following formula 2 Emissions:
[0144]
[0145]
[0146]
[0147] 4.3.2 According to the activity level data acquisition, determine the CO of the light hydrocarbon reforming hydrogen production unit according to formula (7). 2 Emissions.
[0148]
[0149] The carbon dioxide emission accounting optimization system for the light hydrocarbon reforming hydrogen production unit obtained by running the above light hydrocarbon reforming hydrogen production unit carbon dioxide emission accounting optimization method comprises:
[0150] Hydrogen production unit CO2 emission related activity level and emission factor parameter module: In the hydrogen production unit activity level and emission factor parameter module, according to the CO2 involved in the production process of the light hydrocarbon reforming hydrogen production unit 2 Emission source categories, combined with production process CO 2 The actual situation of emission-related data monitoring and acquisition, the CO 2 System of emission-related activity levels and emission factor parameters.
[0151] Hydrogen production unit CO2 emission related data collection, analysis and storage module: Hydrogen production unit CO2 2 The module collects, analyzes and stores the data of emission volume, related activity level and emission factor parameters to realize the CO2 emission reduction of light hydrocarbon reforming hydrogen production unit. 2 Emissions data over the years and CO 2 The historical data of emission-related activity levels and emission factor parameters are automatically or manually collected, analyzed, stored and updated, and can be combined with the collected data of CO2 emission from light hydrocarbon reforming hydrogen production units. 2 Emission-related activity level data and emission factor parameter data enable the analysis of CO 2 Emission accounting. This module collects, analyzes and stores CO 2 Emissions and related activity level and emission factor parameter data can be used to develop CO 2 The correlation analysis between emissions and relevant activity level parameters provides data support.
[0152] Hydrogen production unit CO 2 Emission-related parameter matching module: The CO2 emission of the light hydrocarbon reforming hydrogen production unit is matched by using the correlation analysis method. 2 The emissions were correlated with the relevant activity levels to determine the CO 2 The quantitative value of the correlation between emissions and relevant activity levels is set based on the matching matrix of the quantitative value of correlation. The matching matrix clearly defines CO 2 Matching rules between emissions and relevant activity level parameters, clarifying CO 2 Matching of emissions to activity levels.
[0153] Hydrogen production unit CO 2 Emissions accounting module: Based on the collected CO 2 Historical data on emissions and related activity levels, in terms of CO 2Regression analysis was performed on the matching relationship between emissions and relevant activity levels, and the CO 2 Emissions and related activity level parameter data to determine the CO2 emissions of hydrogen production units suitable for different matching relationships. 2 The conversion relationship between emissions and relevant activity levels and emission factor parameters is obtained according to the screening rules to obtain the CO2 emissions of light hydrocarbon reforming hydrogen production units under different matching relationships. 2 The emission accounting formula is based on CO 2 CO emissions from hydrogen production plants matched with relevant activity levels 2 Emission accounting matrix, CO2 emission calculation of hydrogen production unit under different data monitoring conditions 2 Petrochemical enterprises choose different CO2 emission levels according to data monitoring and acquisition conditions. 2 The calculation formula of emissions is based on the calculation of CO 2 Emissions.
[0154] The above embodiments are only for illustrating the inventive concept and features of the present invention, and their purpose is to enable those skilled in the art to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made based on the essence of the content of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for optimizing carbon dioxide emission calculation of a light hydrocarbon reforming hydrogen production device, characterized in that: The following steps are involved: Step 1: According to the categories of CO2 emission sources involved in the production process of the light hydrocarbon reforming hydrogen production unit, and combined with the actual situation of monitoring and obtaining relevant data on CO2 emissions in the production process of the light hydrocarbon reforming hydrogen production unit, set the CO2 emission-related activity level and emission factor parameter system for the light hydrocarbon reforming hydrogen production unit; Step 2: Collect, analyze, store and regularly update the historical data of CO2 emission-related activity levels and corresponding emission factor parameters of light hydrocarbon reforming hydrogen production units and the historical data of CO2 emissions of light hydrocarbon reforming hydrogen production units; Step 3: Conduct correlation analysis on CO2 emissions from light hydrocarbon reforming hydrogen production equipment and related activity level data to determine the matching matrix between CO2 emissions from light hydrocarbon reforming hydrogen production equipment and related activity levels. The matching matrix clarifies the matching rule relationship between CO2 emissions and related activity level parameters; Step 4: According to the matching rule relationship between CO2 emissions and relevant activity levels, based on the collected, analyzed and stored CO2 emissions and relevant activity level parameter data, determine the conversion relationship between CO2 emissions and relevant activity levels of light hydrocarbon reforming hydrogen production units applicable to different matching rule relationships; according to the screening rules, obtain the accounting formula for CO2 emissions from light hydrocarbon reforming hydrogen production units under different matching relationships, and incorporate it into the CO2 emissions accounting matrix for light hydrocarbon reforming hydrogen production units based on the matching analysis of CO2 emissions and relevant activity levels; calculate the CO2 emissions of light hydrocarbon reforming hydrogen production units under different data monitoring conditions.
2. The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to claim 1 is characterized by: In step one, the CO2 emission-related activity level parameters include raw gas input, fuel gas consumption, hydrogen production, hydrogen production PSA tail gas production, and electricity consumption; the emission factors include raw gas carbon content, raw gas component content analysis, fuel gas carbon content, fuel gas component content analysis, hydrogen production hydrogen carbon content, hydrogen production hydrogen component content analysis, hydrogen production PSA tail gas carbon content, hydrogen production PSA tail gas component content analysis, and electricity emission factors.
3. The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to claim 2 is characterized in that: In step 2, if there is no historical data on CO2 emissions from the light hydrocarbon reforming hydrogen production unit, the CO2 emissions from the light hydrocarbon reforming hydrogen production unit under different activity levels and emission factor parameter conditions are calculated using the formula: Among them, E CO2 is the overall CO2 emission of the light hydrocarbon reforming hydrogen production unit, F in is the fuel gas input, F c is the carbon content of fuel gas, T out is the PSA tail gas output for hydrogen production, T c(非CO2) is the carbon content of other carbon-containing gas components in the hydrogen production PSA tail gas except CO2, T c(CO2) is the carbon content of CO2 in the tail gas of hydrogen production PSA, i is the ith carbon-containing gas component in the fuel gas, and there are n carbon-containing gas components in total, i′ is the ith′ carbon-containing gas component in the PSA tail gas except CO2, and there are n carbon-containing gas components in total except CO2, j is the jth gas component in the fuel gas, and there are m total gas components in the fuel gas, j′ is the j′th gas component in the tail gas of hydrogen production PSA, and there are m total gas components in the tail gas of hydrogen production PSA, V i is the volume concentration of the i-th carbon-containing gas component in the fuel gas, V j is the volume concentration of the jth gas component of the fuel gas, C i is the number of carbon atoms in the molecular formula of the i-th carbon-containing gas component in the fuel gas, Mr j is the molecular weight of the jth gas component in the fuel gas, V i’(非CO2) is the volume concentration of the i′th carbon-containing gas component other than CO2 in the hydrogen production PSA tail gas, C i , is the number of carbon atoms in the molecular formula of the i′th carbon-containing gas component other than CO2 in the PSA tail gas, V j is the volume concentration of the j′th gas component in the hydrogen production PSA tail gas, Mr j′ is the molecular weight of the j′th gas component in the hydrogen production PSA tail gas, V CO2 is the volume concentration of CO2 in the tail gas of hydrogen production PSA, P in is the power consumption, P 电力 is the electricity emission factor.
4. The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to claim 3 is characterized in that: Step 3 includes Step 3-1: Determine the correlation r between CO2 emissions and relevant activity level parameters, and use the r value as the basis for matching CO2 emissions with relevant activity levels. Among them, y represents the CO2 emission parameter value, represents the mean value of the CO2 emission parameter; x represents the parameter value of the relevant activity level; represents the mean value of the relevant activity level parameter; i represents the i-th value of the relevant activity level parameter and the corresponding CO2 emission value; Step 3-2: Conduct correlation analysis on CO2 emissions from light hydrocarbon reforming hydrogen production equipment, hydrogen production, PSA tail gas production, electricity consumption, raw gas input, fuel gas consumption and other activity levels, and match them according to the correlation r value of CO2 emissions from light hydrocarbon reforming hydrogen production equipment and related activity level parameters to construct a matching matrix of CO2 emissions from light hydrocarbon reforming hydrogen production equipment and related activity levels.
5. The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to claim 4 is characterized by: In step 3-2, when matching the correlation r value between the CO2 emissions of the light hydrocarbon reforming hydrogen production device and the relevant activity level parameters, the influence of different numbers of relevant activity level factors on CO2 emissions is analyzed according to the number of factors affecting CO2 emissions at the relevant activity level.
6. The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to claim 5 is characterized by: The fourth step comprises: Step 4-1: Determine the accounting formula for CO2 emissions from the light hydrocarbon reforming hydrogen production unit. Based on the statistical analysis results of CO2 emissions from the hydrogen production unit and related activity levels, combined with the matching rules of CO2 emissions and activity level parameters, conduct univariate or multivariate regression analysis of CO2 emissions from the light hydrocarbon reforming hydrogen production unit and different activity levels and emission factor parameters to determine the accounting formula for CO2 emissions from the hydrogen production unit under different matching relationships; Step 4-2: Calculation of CO2 emissions from the hydrogen production unit. According to the matching relationship rules between the CO2 emissions from the light hydrocarbon reforming hydrogen production unit and the activity level parameters, and based on the acquired activity level parameter data related to CO2 emissions from the light hydrocarbon reforming hydrogen production unit, select the calculation method for CO2 emissions from the hydrogen production unit under different matching relationships determined by univariate or multivariate regression analysis, calculate the CO2 emissions from the hydrogen production unit separately, and determine the CO2 emissions from the hydrogen production unit.
7. The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to claim 6 is characterized by: The step 4-1 comprises: a: Regression analysis of CO2 emissions and activity level parameters of light hydrocarbon reforming hydrogen production unit. The specific steps are as follows: 1) Under the one-dimensional matching relationship between CO2 emissions of light hydrocarbon reforming hydrogen production unit and relevant activity level parameters of raw material input, fuel input, hydrogen production, and hydrogen production PSA tail gas output, a one-dimensional regression analysis was carried out: Y1=a0+a1X, where: Y1 represents CO2 emissions of light hydrocarbon reforming hydrogen production unit, X represents the one-dimensional activity level parameter value, a0 is the matching constant of Y and X, and a1 is the matching coefficient of Y and X; 2) Under the matching relationship between CO2 emissions of light hydrocarbon reforming hydrogen production unit and related binary activity level parameters such as raw material input and fuel input, raw material input and hydrogen production, raw material input and hydrogen production PSA tail gas production, fuel input and hydrogen production PSA tail gas production, fuel input and hydrogen production, hydrogen production and hydrogen production PSA tail gas production, binary regression analysis is carried out: Y2=b0+b1X1+b2X2, where: Y2 represents CO2 emissions, X1 and X2 represent binary activity level parameter values, b0 is the matching constant of Y and X1 and X2 activity level parameters, b1 is the matching coefficient of Y and X1, and b2 is the matching coefficient of Y and X2; 3) Under the matching relationship of ternary activity level parameters related to CO2 emissions of light hydrocarbon reforming hydrogen production unit and raw material input, fuel input and hydrogen production PSA tail gas output, raw material input, fuel input and hydrogen production, raw material input, hydrogen production PSA tail gas output and hydrogen production, fuel input, hydrogen production PSA tail gas output and hydrogen production, ternary regression analysis is carried out: Y3=c0+c1X1+c2X2+c3X3, where: Y3 represents CO2 emissions, X1, X2, X3, represent ternary activity level parameter values, c0 is the matching constant of Y and X1, X2 and X3 activity level parameters, c1 is the matching coefficient of Y and X1, c2 is the matching coefficient of Y and X2, c3 is the matching coefficient of Y and X3; b: Regression analysis results of CO2 emissions and activity levels under different matching relationships, using R 2 Value screening to determine the CO2 emissions calculation formula Where: R 2 represents the coefficient of determination, represents the predicted value of CO2 emissions calculated from the activity level parameter value of the i-th group, Y i represents the actual value of CO2 emissions corresponding to the i-th group of activity level parameters used for matching analysis, Represents the average value of CO2 emissions used for matching analysis.
8. The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to claim 7 is characterized by: The step 4-2 comprises: c: Calculate CO2 emissions based on the activity level factor data. The specific steps are as follows: If the one-yuan activity level data is obtained, the CO2 emissions are calculated as: Y1=a0+a1X; If binary activity level data is obtained, the CO2 emissions are calculated as: Y1=a0+a1X, Y2=b0+b1X1+b2X2; If the three-element activity level data is obtained, the CO2 emissions are calculated as: Y1=a0+a1X, Y2=b0+b1X1+b2X2, Y3=c0+c1X1+c2X2+c3X3; d: Calculate the CO2 emissions of the light hydrocarbon reforming hydrogen production unit based on the calculated results of the CO2 emissions. in: is CO2 emission, Y i is the CO2 emissions calculated separately, i is the number of activity level factors, which can be 1, 2 or 3.
9. The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to claim 4 is characterized by: The criteria for determining the r value and correlation are: r value of 0.8-1.0, very strong correlation; r value of 0.6-0.8, strong correlation; An r value of 0.4-0.6 indicates a moderate correlation; an r value of 0.2-0.4 indicates a weak correlation; and an r value of 0.0-0.2 indicates a very weak correlation or no correlation.
10. A carbon emission accounting and optimization system for a light hydrocarbon reforming hydrogen production device, characterized in that: The method for calculating and optimizing carbon dioxide emissions from a light hydrocarbon reforming hydrogen production device according to any one of claims 1 to 9 comprises: CO2 emission-related activity level and emission factor parameter module: According to the categories of CO2 emission sources involved in the production process of the light hydrocarbon reforming hydrogen production unit, and combined with the actual situation of monitoring and obtaining CO2 emission-related data in the production process of the hydrogen production unit, the CO2 emission-related activity level and emission factor parameter system of the light hydrocarbon reforming hydrogen production unit are set; CO2 emission related data collection, analysis and storage module: collect, analyze and store the CO2 emission related activity level of hydrogen production equipment, historical data of CO2 emission factor parameters of hydrogen production equipment, and historical data of CO2 emissions of hydrogen production equipment, and update them regularly; CO2 emission related parameter matching module: The module conducts correlation analysis on CO2 emission of light hydrocarbon reforming hydrogen production unit and related activity level data, and sets up the module on the basis of determining the matching matrix between CO2 emission and related activity level. The matching matrix clarifies the matching rules between CO2 emission and related activity level parameters. CO2 emissions accounting module: According to the matching relationship between CO2 emissions and relevant activity levels, based on the collected, analyzed and stored CO2 emissions and relevant activity level parameter data, the conversion relationship between CO2 emissions and relevant activity levels and emission factor parameters of the hydrogen production unit applicable to different matching relationships is determined, and the accounting formula for CO2 emissions of light hydrocarbon reforming hydrogen production units under different matching relationships is obtained according to the screening rules, and is incorporated into the CO2 emissions accounting matrix of the hydrogen production unit based on the matching analysis of CO2 emissions and relevant activity levels, and the CO2 emissions of the hydrogen production unit are calculated under different data monitoring conditions.