Multi-source data-based industrial byproduct hydrogen and carbon emission quantification method and device

Abstract

The invention provides a multi-source data-based industrial byproduct hydrogen and carbon emission quantification method and device. The method comprises the following steps: acquiring multi-source data; the multi-source data comprises historical emission list data of the power plant, total power generation of the power plant and power consumption of the plant; determining the total carbon emission of the power plant based on the historical emission list data of the power plant and the emission rate of nitrogen oxide of the plant; determining factory indirect carbon emission based on the power plant total carbon emission, the power plant total generating capacity and the factory power consumption; and determining the carbon emission in the industrial byproduct hydrogen production process based on the power plant total carbon emission and the factory indirect carbon emission. According to the method and the device for converting the carbon emission of the industrial by-product hydrogen based on the multi-source data, the carbon emission in the production process of the industrial by-product hydrogen is comprehensively determined from two aspects of direct carbon emission and indirect carbon emission of a factory, and the total carbon emission in the production process of the industrial by-product hydrogen can be more comprehensively and accurately reflected.

Description

Technical Field

[0001] The present invention relates to the field of remote sensing observation technology, and in particular to a method and device for quantifying industrial by-product hydrogen and carbon emissions based on multi-source data. Background Art

[0002] carbon dioxide( ) is one of the main drivers of global climate change, profoundly impacting human life and the ecological environment. Under the dual pressures of addressing climate change and transitioning to a new energy source, hydrogen energy, due to its clean and low-carbon characteristics, is becoming a key component of energy strategies in various countries.

[0003] In the current industrial hydrogen production technology landscape, industrial by-product hydrogen has attracted significant attention due to its low cost and high resource utilization, becoming a crucial component of the hydrogen energy industry. However, a technological gap exists in quantifying carbon emissions from industrial by-product hydrogen. This results in low monitoring accuracy, making it impossible to scientifically assess the carbon emission characteristics of industrial by-product hydrogen, making it difficult to accurately reflect its green benefits and hindering its further development and promotion. Summary of the Invention

[0004] The present invention provides a method and device for quantifying industrial by-product hydrogen and carbon emissions based on multi-source data, which is used to solve the technical problem of low accuracy in monitoring industrial by-product hydrogen and carbon emissions due to the lack of quantification of industrial by-product hydrogen and carbon emissions in the existing technology.

[0005] In a first aspect, the present invention provides a method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data, comprising the following steps: Acquiring multi-source data; the multi-source data including historical emissions inventory data of the power plant, the total power generation of the power plant, and the power consumption of the power plant; Determining the total carbon emissions of the power plant based on the power plant's historical emissions inventory data and the plant's nitrogen oxide emissions rate; Determining indirect carbon emissions of a plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the plant; The carbon emissions during the industrial by-product hydrogen production process are determined based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant.

[0006] In some embodiments, the multi-source data further includes satellite-observed nitrogen dioxide column concentrations; and the method further includes: The nitrogen dioxide column concentration at the plume centerline within each subinterval within the preset distance range in the upwind and downwind directions is taken as the target plume centerline column concentration; performing nonlinear fitting on a carbon emission remote sensing quantification model based on the centerline column concentration of the target plume to obtain target model parameters of the carbon emission remote sensing quantification model; the carbon emission remote sensing quantification model is an exponentially modified Gaussian model and is used to quantify nitrogen dioxide emissions from the factory; The nitrogen dioxide emission rate of the plant is determined based on the target model parameters, and the nitrogen oxide emission rate of the plant is determined based on the nitrogen dioxide emission rate.

[0007] In some embodiments, the carbon emission remote sensing quantification model is expressed as: , , , , in, Indicates the location point of the satellite observation center The column concentration of nitrogen dioxide at and are the coordinates of the satellite observation center in the downwind and crosswind directions, is the wind speed at the location of the satellite observation center; the effective life of the pollutant is ; is the complementary error function, The parameter is The exponential function and parameter are The analytical form of the Gaussian function convolution is used to describe the attenuation of the smoke column concentration on the plume centerline with downwind distance; represents the amount of nitrogen oxides observed around the nitrogen dioxide emission source; Is a parameter The one-dimensional Gaussian function is used to describe the diffusion process of the plume along the plume centerline perpendicular to the wind direction; B represents the background concentration.

[0008] In some embodiments, the emission rate of nitrogen dioxide from the factory is expressed as: in, represents the emission rate of nitrogen dioxide from the factory; and is the target model parameter of the carbon emission remote sensing quantification model; is the wind speed at the location of the satellite observation center.

[0009] In some embodiments, determining the indirect carbon emissions of the power plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the power plant includes: Determining carbon emissions per unit of power generation based on the total carbon emissions of the power plant and the total power generation of the power plant; The indirect carbon emissions of the factory are determined based on the power consumption of the factory and the carbon emissions corresponding to the unit power generation.

[0010] In some embodiments, the multi-source data further includes satellite-observed carbon dioxide data and pollutant observation data; Determining the total carbon emissions of the power plant based on the historical emissions inventory data of the power plant and the plant's nitrogen oxide emission rate includes: Determining a linear relationship between carbon dioxide emissions and nitrogen oxide emissions among pollutants based on the historical emission inventory data of the power plant, the carbon dioxide data, and pollutant observation data; wherein the linear relationship is characterized by a pollution-carbon synergy coefficient; The total carbon emissions of the power plant are obtained by multiplying the nitrogen oxide emission rate of the power plant by the pollution-carbon synergy coefficient.

[0011] In some embodiments, the multi-source data further includes production data of a factory; The determining of carbon emissions during the industrial by-product hydrogen production process based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant includes: Determining a target ratio based on the production data of the plant; the target ratio is the ratio of carbon emissions generated by the production of industrial by-product hydrogen to total carbon emissions; The sum of the total carbon emissions of the power plant and the indirect carbon emissions of the factory is multiplied by the target ratio to obtain the carbon emissions of industrial by-product hydrogen.

[0012] In a second aspect, the present invention provides a device for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data, comprising the following modules: An acquisition module is used to acquire multi-source data; the multi-source data includes historical emission inventory data of the power plant, total power generation of the power plant, and power consumption of the plant; a first determination module for determining the total carbon emissions of the power plant based on historical emission inventory data of the power plant and the plant's emission rate of nitrogen oxides; a second determining module, configured to determine the indirect carbon emissions of the power plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the power plant; The third determination module is used to determine the carbon emissions in the industrial by-product hydrogen production process based on the total carbon emissions of the power plant and the indirect carbon emissions of the factory.

[0013] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for quantifying industrial by-product hydrogen carbon emissions based on multi-source data as described above is implemented.

[0014] In a fourth aspect, a non-transitory computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements any of the above-mentioned methods for quantifying industrial by-product hydrogen carbon emissions based on multi-source data.

[0015] In a fifth aspect, the present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned methods for quantifying industrial by-product hydrogen carbon emissions based on multi-source data.

[0016] The present invention provides a method and device for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data, which obtains multi-source data; the multi-source data includes the historical emission inventory data of the power plant, the total power generation of the power plant, and the power consumption of the plant; based on the historical emission inventory data of the power plant and the plant's emission rate of nitrogen oxides, the total carbon emissions of the power plant are determined; based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the plant, the indirect carbon emissions of the plant are determined; based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant, the carbon emissions in the production process of industrial by-product hydrogen are determined. It integrates a variety of remote sensing observation data and comprehensively determines the carbon emissions in the production process of industrial by-product hydrogen from two aspects: direct carbon emissions and indirect carbon emissions of the plant. It can more comprehensively and accurately reflect the total carbon emissions in the production process of industrial by-product hydrogen, and provide more comprehensive data support for the formulation of emission reduction strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 It is a flow chart of the method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data provided by the present invention.

[0019] Figure 2 It is a structural schematic diagram of the industrial by-product hydrogen carbon emission quantification device based on multi-source data provided by the present invention.

[0020] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0021] Currently, hydrogen production technologies used globally primarily include fossil fuel-based hydrogen production, water electrolysis, and industrial by-product hydrogen. Fossil fuel-based hydrogen holds the majority of the market share, but its high carbon emissions are increasingly facing challenges in sustainable development. Water electrolysis-based hydrogen production has attracted considerable attention for its clean nature, but its high energy consumption and high costs have limited its competitiveness to specific sectors.

[0022] In contrast, industrial by-product hydrogen is a method of hydrogen production with significant advantages, and has gradually become a hot topic of research and application in recent years. Industrial by-product hydrogen refers to the hydrogen by-product generated along with the main product in industrial production processes such as chemical, oil refining, and metallurgy. Its sources are wide-ranging, including but not limited to hydrogen produced as a by-product of ethylene production in the petrochemical industry, hydrogen extracted from coke oven gas in the coking process, and hydrogen produced as a by-product of chlorine production in the chlor-alkali industry. The biggest feature of this hydrogen production method is its low cost and high resource utilization efficiency. Since the raw materials and energy requirements of industrial by-product hydrogen are partially or completely included in the production process of the main product, its additional resource consumption and cost investment are relatively low. In addition, the utilization of by-product hydrogen can effectively reduce energy waste, improve the comprehensive utilization efficiency of resources, and provide a stable source of hydrogen for the development of the hydrogen energy industry while achieving carbon emission reduction targets.

[0023] However, the development of industrial by-product hydrogen faces challenges, particularly in the monitoring and quantification of carbon emissions. Currently, there is a lack of comprehensive lifecycle assessments and unified standards for carbon emissions from industrial by-product hydrogen. In particular, there is a technical gap in the comprehensive quantification of direct and indirect emissions. This limitation not only limits the further application of by-product hydrogen in low-carbon industrial chains but also hinders the industry's green certification and international competitiveness.

[0024] First, the sources of carbon emissions from industrial by-product hydrogen are complex, including direct emissions from the production process and indirect emissions from the energy required for production. However, there is currently a lack of systematic methods for quantifying carbon emissions throughout the entire life cycle, making it impossible to scientifically assess the carbon emission characteristics of industrial by-product hydrogen, making it difficult to accurately reflect its green benefits. Second, current carbon emission monitoring methods mainly rely on ground sampling or self-reported data from enterprises. This method has problems such as limited data coverage, low monitoring accuracy, and insufficient timeliness. Especially in the complex industrial environment of by-product hydrogen production, it cannot meet the needs of dynamic and high-precision monitoring.

[0025] Based on the above technical problems, the present invention proposes a method for quantifying carbon emissions of industrial by-product hydrogen based on multi-source data, which integrates a variety of remote sensing observation data, including historical emission inventory data of power plants, total power generation of power plants and power consumption of plants, etc., which can quantify carbon emissions more comprehensively and accurately, and comprehensively determine the carbon emissions in the production process of industrial by-product hydrogen from the two aspects of direct carbon emissions and indirect carbon emissions of the plant. It can more comprehensively and accurately reflect the total carbon emissions in the production process of industrial by-product hydrogen, provide a scientific basis for carbon emission monitoring and evaluation of industrial by-product hydrogen, provide technical support for formulating carbon footprint standards for the hydrogen energy industry and promoting low-carbon applications of hydrogen energy, and at the same time help achieve the global carbon neutrality goal.

[0026] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0027] Figure 1 This is one of the flow diagrams of the method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data provided by the present invention, such as Figure 1 As shown, the present invention provides a method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data. The method includes: Step 101: Acquire multi-source data; the multi-source data includes historical emission inventory data of the power plant, the total power generation of the power plant, and the power consumption of the plant.

[0028] Specifically, multi-source data can include various remote sensing data and various information about power plants and factories. Remote sensing monitoring of isolated (or point) sources is conducted through satellite observation centers, providing multi-source remote sensing data, including column concentration data of various atmospheric components, meteorological reanalysis data, and historical emission inventory data for power plants, total power generation, power consumption, precise geographic location information, and production data.

[0029] Power plant emission inventory data can be obtained from the EDGAR global atmospheric emissions database. Column concentration data can be obtained from the tropospheric monitoring instrument TROPOMI. Meteorological reanalysis data can be obtained from the ERA5 global atmospheric reanalysis dataset.

[0030] Remote sensing data has a high spatial resolution, can provide detailed geographic information, and has a wide coverage, which enables the embodiments of the present application to accurately quantify carbon emissions in different regions and scales.

[0031] Step 102: Determine the total carbon emissions of the power plant based on the historical emission inventory data of the power plant and the emission rate of nitrogen oxides of the power plant.

[0032] Specifically, the historical emission inventory data of the power plant is obtained, and based on the inventory data, the carbon dioxide CO2 emissions in greenhouse gas emissions and nitrogen oxides NO in atmospheric pollutants are established. x By substituting the currently acquired factory nitrogen oxide emission rate into the relationship model, the total carbon emissions of the power plant can be obtained.

[0033] Step 103: Determine the indirect carbon emissions of the power plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the power plant.

[0034] Specifically, the total power generation and power consumption of the power plant are obtained through statistical yearbooks or data from major open data platforms. Combined with the obtained total carbon emissions of the power plant, the indirect carbon emissions of the factory are determined, that is, the carbon emissions caused by the electricity consumed by the factory during production activities.

[0035] Step 104: Determine the carbon emissions during the industrial by-product hydrogen production process based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant.

[0036] Specifically, a power plant's total carbon emissions are the quantified direct carbon emissions generated by the plant's production activities. The final total carbon emissions are calculated by combining the power plant's total carbon emissions with the plant's indirect carbon emissions. The carbon emissions from the production of industrial by-product hydrogen are then further determined.

[0037] The method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data provided in the embodiments of the present application integrates a variety of remote sensing observation data, including historical emission inventory data of power plants, total power generation of power plants, and power consumption of power plants, etc., which can quantify carbon emissions more comprehensively and accurately, and comprehensively determine the carbon emissions in the production process of industrial by-product hydrogen from two aspects: direct carbon emissions and indirect carbon emissions of the plant. It can more comprehensively and accurately reflect the total carbon emissions in the production process of industrial by-product hydrogen, and provide more comprehensive data support for the formulation of emission reduction strategies.

[0038] In some embodiments, the multi-source data further includes satellite-observed nitrogen dioxide column concentrations; and the method further includes: The nitrogen dioxide column concentration at the plume centerline within each subinterval within the preset distance range in the upwind and downwind directions is taken as the target plume centerline column concentration; performing nonlinear fitting on a carbon emission remote sensing quantification model based on the centerline column concentration of the target plume to obtain target model parameters of the carbon emission remote sensing quantification model; the carbon emission remote sensing quantification model is an exponentially modified Gaussian model and is used to quantify nitrogen dioxide emissions from the factory; The nitrogen dioxide emission rate of the plant is determined based on the target model parameters, and the nitrogen oxide emission rate of the plant is determined based on the nitrogen dioxide emission rate.

[0039] Specifically, a carbon emission remote sensing quantification model is first constructed to quantify nitrogen dioxide emissions from factories. The carbon emission remote sensing quantification model can be an Exponentially Modified Gaussian (EMG) model, which assumes that the concentration around an isolated source will diffuse and exponentially decay along the wind flow direction, and conceptualizes the overall behavior as the convolution of a Gaussian function and an exponential function.

[0040] In some embodiments, the carbon emission remote sensing quantification model is expressed as: (1) (2) (3) (4) (5) in, Indicates the location point of the satellite observation center The column concentration of nitrogen dioxide at and are the coordinates of the satellite observation center in the downwind and crosswind directions, respectively, in kilometers ( km ), assuming that the concentration of the source emission changes with time ( ) decreases to , that is, the effective lifetime of the pollutant (residence time in the atmosphere) is ; is the wind speed at the satellite observation center, in kilometers per hour ( km·h -1 ), and the wind speed Only In the is the complementary error function, which is defined as ; It represents the amount of nitrogen oxides observed around the nitrogen dioxide emission source. If the column concentration is mol·km -2 ,but The unit is mol ; B represents the background concentration, the unit is mol·km -2 ; Is a parameter The one-dimensional Gaussian function is used to describe the diffusion process of the plume along the plume centerline perpendicular to the wind direction. xWhen ≥0, it means it is downwind. x When <0, it means it is upwind. The parameter is The Gaussian function with parameters is The analytical form of the exponential function convolution is used to describe the attenuation process of the smoke column concentration on the plume centerline with downwind distance.

[0041] The exponential function describes both migration and chemical decay, while the Gaussian function smoothes the decay process.

[0042] Based on current observational studies of multiple emission sources, there is a linear relationship between the pollutant concentrations at point sources and the emissions reported in the inventory. The slope is an estimate of the average decay time, that is, the estimated nitrogen dioxide emission rate of a plant can also be expressed as: (6) in, represents the emission rate of nitrogen dioxide from the factory; and is the target model parameter of the carbon emission remote sensing quantification model; is the wind speed at the location of the satellite observation center.

[0043] According to formula (2) to formula (5), at the same wind direction distance (i.e. Same), when the vertical wind direction distance = 0, the column concentration reaches its maximum value, that is, the column concentration is highest on the plume centerline. The upwind column concentration mainly affects the fitting of the background value. Therefore, the longest upwind distance possible is selected to achieve a better fit of the background value. The perpendicular wind distance should also be as large as possible to ensure greater robustness to inaccuracies in wind direction. On the other hand, it should also be avoided if the distance is too large to be affected by other sources.

[0044] Therefore, the search principle of the model input value is as follows: for the actual plume observed by TROPOMI on a single day, by searching within the preset range of up and down wind directions (such as x =±80 km ) Each subinterval (such as 5 km ) is used as the target plume centerline column concentration, which is input into the carbon emission remote sensing quantification model for nonlinear fitting, thereby obtaining the target model parameters of the carbon emission remote sensing quantification model.

[0045] The above search method can reduce the error caused by using only the ERA5 wind direction to represent the plume propagation direction to a certain extent, because the ERA5 wind direction does not always coincide with the plume centerline.

[0046] Specifically, the nitrogen dioxide column concentration of the plume centerline in each subinterval within the preset distance range of the up and down wind directions is used as the target plume centerline column concentration and input into the carbon emission remote sensing quantification model, and the initial values are set as (0) =1×10 5 mol 、 (0) =40 km 、 (0) =1 / 4× h −1 、B (0) =50 mol·km -2 The initial value of is used to perform nonlinear fitting using the Trust Region Reflective algorithm of the Python SciPy library, and the fitting coefficient R is calculated at the same time. 2 and the effective life of nitrogen oxides , the unit is hour (h). When the fitting conditions meet the parameter range R 2 >0.7, , Determine the optimal parameters (i.e. target model parameters) when 、 、 , B.

[0047] After obtaining the target model parameters, the factory’s nitrogen dioxide emission rate can be obtained according to formula (6): .

[0048] Then, NO is calculated based on the NO2 emission rate. x Emission rate, NO x The emission rate can be expressed as: =1.32∙ (7) in, represents the emission rate of nitrogen oxides from the factory, Indicates the emission rate of nitrogen dioxide from the factory. 1.32 is the ratio of NO2 emission rate to NO x Conversion ratio for emission rates.

[0049] The embodiment of the present application provides a method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data, establishes a remote sensing quantification model for carbon emissions, and uses remote sensing technology to monitor and invert carbon emissions in real time. The application of this model not only improves the efficiency of carbon emission quantification, but also makes the monitoring process more dynamic and real-time, which helps to promptly discover and solve carbon emission problems.

[0050] In some embodiments, the multi-source data further includes satellite-observed carbon dioxide data and pollutant observation data; Determining the total carbon emissions of the power plant based on the historical emissions inventory data of the power plant and the plant's nitrogen oxide emission rate includes: Determining a linear relationship between carbon dioxide emissions and nitrogen oxide emissions among pollutants based on the historical emission inventory data of the power plant, the carbon dioxide data, and pollutant observation data; wherein the linear relationship is characterized by a pollution-carbon synergy coefficient; The total carbon emissions of the power plant are obtained by multiplying the nitrogen oxide emission rate of the power plant by the pollution-carbon synergy coefficient.

[0051] Specifically, due to the combustion process of CO2 and NO x There is a correlation between the generation of x It can be regarded as a proxy indicator of carbon emissions, which can indirectly quantify carbon emissions in the absence of direct carbon observation. Therefore, based on the CO2 data and pollutant observation data in multi-source data, combined with the historical emission inventory data of power plants, statistical modeling is performed to determine the CO2 emissions and NO in pollutants. x The linear relationship between the emissions of CO2 and NO can be characterized by the pollution-carbon synergy coefficient NCR. x The linear function between the emissions can be expressed as: =𝑐∙ (8) in, Indicates the CO2 emissions of the power plant; Indicates the NO of the power plant x Emissions; c represents the pollution-carbon synergy coefficient.

[0052] Based on the historical emission inventory data of the power plant, the pollution-carbon synergy coefficient is determined, and thus the pollution-carbon synergy model (i.e. the above linear function) is obtained. The emission rate of nitrogen oxides of the plant obtained by formula (7) is calculate , substituted into formula (8) to obtain the total carbon emissions of the power plant under the same conditions , the unit is generally ktCO 2 ·h -1 .

[0053] The embodiment of the present application provides a method for quantifying carbon emissions of industrial by-product hydrogen based on multi-source data, which establishes a relationship between CO2 emissions and NOx emissions of power plants based on historical emission inventory data of power plants. xThe relationship model between emissions can be used to infer the CO2 emissions of the power plant based on the estimated nitrogen oxide emission rate of the power plant, that is, the total carbon emissions of the power plant. It integrates multi-source data and improves the accuracy of carbon emissions calculation.

[0054] In some embodiments, determining the indirect carbon emissions of the power plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the power plant includes: Determining carbon emissions per unit of power generation based on the total carbon emissions of the power plant and the total power generation of the power plant; The indirect carbon emissions of the factory are determined based on the power consumption of the factory and the carbon emissions corresponding to the unit power generation.

[0055] Specifically, after obtaining the total carbon emissions of the power plant, the carbon emissions corresponding to unit power generation are determined based on the total power generation of the power plant in multi-source data. Then, based on the carbon emissions corresponding to unit power generation and the power consumption of the factory in multi-source data, the indirect carbon emissions of the factory are determined.

[0056] The industrial by-product hydrogen carbon emission quantification method based on multi-source data provided in the embodiment of the present application not only takes into account the direct carbon emissions in the industrial by-product hydrogen production process, but also takes into account the indirect carbon emissions generated by electricity consumption. Specifically, the carbon emissions corresponding to the unit power generation are first calculated, and then the indirect carbon emissions are calculated based on the factory's power consumption. The operation is simple and can obtain the total carbon emissions in the industrial by-product hydrogen production process more comprehensively and efficiently, providing more comprehensive data support for the formulation of emission reduction strategies.

[0057] In some embodiments, the multi-source data further includes production data of a factory; The determining of carbon emissions during the industrial by-product hydrogen production process based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant includes: Determining a target ratio based on the production data of the plant; the target ratio is the ratio of carbon emissions generated by the production of industrial by-product hydrogen to total carbon emissions; The sum of the total carbon emissions of the power plant and the indirect carbon emissions of the factory is multiplied by the target ratio to obtain the carbon emissions of industrial by-product hydrogen.

[0058] Specifically, multi-source data also includes the production data of the factory. Based on the production data of the factory, the proportion of carbon emissions generated by the production of industrial by-product hydrogen in the total carbon emissions can be determined. The total carbon emissions here include direct carbon emissions and indirect carbon emissions. The carbon emissions in the production process of industrial by-product hydrogen are calculated based on this proportion.

[0059] The carbon emissions from industrial by-product hydrogen are expressed as follows: (9) in, represents the carbon emissions of industrial by-product hydrogen; Indicates the proportion of carbon emissions from industrial by-product hydrogen to total carbon emissions; represents the total carbon emissions of the power plant; Indicates the factory's indirect carbon emissions.

[0060] The industrial by-product hydrogen carbon emission quantification method based on multi-source data provided in the embodiment of the present application uses remote sensing technology to achieve real-time and dynamic carbon emission monitoring, and timely reflect the current emission situation; and the remote sensing data has a high spatial resolution, can provide detailed geographic information, and has a wide coverage, and can accurately quantify carbon emissions in different regions and scales; it integrates multi-source data, including power plant emissions, direct emissions of industrial by-product hydrogen plants, carbon emissions per unit of power generation, and power generation data, etc., and can provide more comprehensive and accurate carbon emission information; moreover, the production process of industrial by-product hydrogen involves multiple emission sources, including emissions directly from the production process and emissions indirectly from electricity consumption. Traditional methods may find it difficult to accurately distinguish these emission sources, resulting in inaccurate quantification results. However, the present application can clearly distinguish and accurately calculate direct emissions and indirect emissions by integrating multi-source remote sensing data and establishing a quantification model, thereby providing more comprehensive and accurate carbon emission data.

[0061] Figure 2 This is a schematic diagram of the structure of the industrial by-product hydrogen carbon emission quantification device based on multi-source data provided by the present invention. Figure 2 As shown, the present invention provides an industrial by-product hydrogen carbon emission quantification device based on multi-source data, including an acquisition module 201, a first determination module 202, a second determination module 203 and a third determination module 204.

[0062] The acquisition module 201 is used to acquire multi-source data; the multi-source data includes historical emission inventory data of power plants, total power generation of power plants, and power consumption of power plants; The first determination module 202 is configured to determine the total carbon emissions of the power plant based on the historical emission inventory data of the power plant and the emission rate of nitrogen oxides by the power plant; The second determining module 203 is configured to determine the indirect carbon emissions of the power plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the power plant; The third determination module 204 is configured to determine the carbon emissions during the industrial by-product hydrogen production process based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant.

[0063] Specifically, the above-mentioned industrial by-product hydrogen carbon emission quantification device based on multi-source data provided by the present invention can implement all the method steps implemented in the above-mentioned industrial by-product hydrogen carbon emission quantification method based on multi-source data, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0064] It should be noted that the division of units / modules in the above-mentioned embodiments of the present invention is schematic and is merely a logical functional division. In actual implementation, other division methods may be used. In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The above-mentioned integrated units may be implemented in the form of hardware or software functional units.

[0065] Figure 3 Schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 3 As shown, the electronic device may include: a processor 301, a communications interface 302, a memory 303, and a communication bus 304, wherein the processor 301, the communications interface 302, and the memory 303 communicate with each other via the communication bus 304. The processor 301 may call the logic instructions in the memory 303 to execute a method for quantifying industrial by-product hydrogen carbon emissions based on multi-source data, which includes: Acquiring multi-source data; the multi-source data including historical emissions inventory data of the power plant, the total power generation of the power plant, and the power consumption of the power plant; Determining the total carbon emissions of the power plant based on the power plant's historical emissions inventory data and the plant's nitrogen oxide emissions rate; Determining indirect carbon emissions of a plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the plant; The carbon emissions during the industrial by-product hydrogen production process are determined based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant.

[0066] Specifically, the processor 301 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or a complex programmable logic device (CPLD), and the processor may also adopt a multi-core architecture.

[0067] The logical instructions in memory 303 can be implemented in the form of software functional units and when sold or used as an independent product, can be stored in a processor-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0068] In some embodiments, a computer program product is further provided. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the industrial by-product hydrogen carbon emission quantification method based on multi-source data provided in the above-mentioned method embodiments. The method includes: Acquiring multi-source data; the multi-source data including historical emissions inventory data of the power plant, the total power generation of the power plant, and the power consumption of the power plant; Determining the total carbon emissions of the power plant based on the power plant's historical emissions inventory data and the plant's nitrogen oxide emissions rate; Determining indirect carbon emissions of a plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the plant; The carbon emissions during the industrial by-product hydrogen production process are determined based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant.

[0069] Specifically, the above-mentioned computer program product provided in the embodiment of the present application can implement all the method steps implemented in the above-mentioned method embodiments, and can achieve the same technical effects. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0070] In some embodiments, a computer-readable storage medium is further provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program is configured to cause a computer to execute the method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data provided in each of the above method embodiments, the method comprising: Acquiring multi-source data; the multi-source data including historical emissions inventory data of the power plant, the total power generation of the power plant, and the power consumption of the power plant; Determining the total carbon emissions of the power plant based on the power plant's historical emissions inventory data and the plant's nitrogen oxide emissions rate; Determining indirect carbon emissions of a plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the plant; The carbon emissions during the industrial by-product hydrogen production process are determined based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant.

[0071] Specifically, the computer-readable storage medium provided by the present invention can implement all the method steps implemented by the above-mentioned method embodiments, and can achieve the same technical effects. The parts and beneficial effects that are the same as the method embodiments in this embodiment will not be described in detail here.

[0072] It should be noted that the computer-readable storage medium can be any available medium or data storage device that can be accessed by the processor, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CDs, DVDs, BDs, HVDs, etc.), and semiconductor storage (such as ROMs, EPROMs, EEPROMs, non-volatile memories (NAND FLASH), solid-state drives (SSDs)), etc.

[0073] It should also be noted that the terms "first," "second," and the like are used herein to distinguish similar objects, and are not intended to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, such that the embodiments of the present invention can be implemented in an order other than that illustrated or described herein. Furthermore, the terms "first" and "second" generally distinguish objects of the same type, and do not limit the number of objects. For example, the first object may be one or more.

[0074] In the present invention, "determining B based on A" means that A is considered when determining B. This is not limited to "determining B based solely on A" and should also include: "determining B based on A and C," "determining B based on A, C, and E," "determining C based on A, and further determining B based on C," etc. It can also include using A as a condition for determining B, for example, "when A meets the first condition, determine B using the first method," "when A meets the second condition, determine B," etc., and "when A meets the third condition, determine B based on the first parameter," etc. Of course, it can also include using A as a factor in determining B, for example, "when A meets the first condition, determine C using the first method, and further determine B based on C," etc.

[0075] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage) containing computer-usable program code.

[0076] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer-executable instructions. These computer-executable instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0077] These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the processor-readable memory produce an article of manufacture comprising an instruction device that implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0078] These processor-executable instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable device to implement the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0079] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data, characterized in that: include: Acquiring multi-source data; the multi-source data including historical emissions inventory data of the power plant, the total power generation of the power plant, and the power consumption of the power plant; Determining the total carbon emissions of the power plant based on the power plant's historical emissions inventory data and the plant's nitrogen oxide emissions rate; Determining indirect carbon emissions of a plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the plant; The carbon emissions during the industrial by-product hydrogen production process are determined based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant.

2. The method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data according to claim 1 is characterized in that: The multi-source data further includes nitrogen dioxide column concentration observed by satellite; the method further includes: The nitrogen dioxide column concentration at the plume centerline within each subinterval within the preset distance range in the upwind and downwind directions is taken as the target plume centerline column concentration; performing nonlinear fitting on a carbon emission remote sensing quantification model based on the centerline column concentration of the target plume to obtain target model parameters of the carbon emission remote sensing quantification model; the carbon emission remote sensing quantification model is an exponentially modified Gaussian model and is used to quantify nitrogen dioxide emissions from the factory; The nitrogen dioxide emission rate of the plant is determined based on the target model parameters, and the nitrogen oxide emission rate of the plant is determined based on the nitrogen dioxide emission rate.

3. The method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data according to claim 2 is characterized in that: The expression of the carbon emission remote sensing quantification model is: ， ， ， ， in, Indicates the location point of the satellite observation center The column concentration of nitrogen dioxide at and are the coordinates of the satellite observation center in the downwind and crosswind directions, is the wind speed at the location of the satellite observation center; the effective lifetime of the pollutant (residence time in the atmosphere) is ; is the complementary error function, The parameter is The exponential function and parameter are The analytical form of the Gaussian function convolution is used to describe the attenuation of the smoke column concentration on the plume centerline with downwind distance; represents the amount of nitrogen oxides observed around the nitrogen dioxide emission source; Is a parameter The one-dimensional Gaussian function is used to describe the diffusion process of the plume along the plume centerline perpendicular to the wind direction; B represents the background concentration.

4. The method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data according to claim 3 is characterized in that: The expression for the nitrogen dioxide emission rate of the factory is: in, represents the emission rate of nitrogen dioxide from the factory; and is the target model parameter of the carbon emission remote sensing quantification model; is the wind speed at the location of the satellite observation center.

5. The method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data according to claim 1 is characterized in that: Determining the indirect carbon emissions of the power plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the power plant includes: Determining carbon emissions per unit of power generation based on the total carbon emissions of the power plant and the total power generation of the power plant; The indirect carbon emissions of the factory are determined based on the power consumption of the factory and the carbon emissions corresponding to the unit power generation.

6. The method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data according to claim 1 is characterized in that: The multi-source data also includes satellite-observed carbon dioxide data and pollutant observation data; Determining the total carbon emissions of the power plant based on the historical emissions inventory data of the power plant and the plant's nitrogen oxide emission rate includes: Determining a linear relationship between carbon dioxide emissions and nitrogen oxide emissions among pollutants based on the historical emission inventory data of the power plant, the carbon dioxide data, and pollutant observation data; wherein the linear relationship is characterized by a pollution-carbon synergy coefficient; The total carbon emissions of the power plant are obtained by multiplying the nitrogen oxide emission rate of the power plant by the pollution-carbon synergy coefficient.

7. The method for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data according to claim 1 is characterized in that: The multi-source data also includes production data of the factory; The determining of carbon emissions during the industrial by-product hydrogen production process based on the total carbon emissions of the power plant and the indirect carbon emissions of the plant includes: Determining a target ratio based on the production data of the plant; the target ratio is the ratio of carbon emissions generated by the production of industrial by-product hydrogen to total carbon emissions; The sum of the total carbon emissions of the power plant and the indirect carbon emissions of the factory is multiplied by the target ratio to obtain the carbon emissions of industrial by-product hydrogen.

8. A device for quantifying carbon emissions from industrial by-product hydrogen based on multi-source data, characterized in that: include: An acquisition module is used to acquire multi-source data; the multi-source data includes historical emission inventory data of the power plant, total power generation of the power plant, and power consumption of the plant; a first determination module for determining the total carbon emissions of the power plant based on historical emission inventory data of the power plant and the plant's emission rate of nitrogen oxides; a second determining module, configured to determine the indirect carbon emissions of the power plant based on the total carbon emissions of the power plant, the total power generation of the power plant, and the power consumption of the power plant; The third determination module is used to determine the carbon emissions in the industrial by-product hydrogen production process based on the total carbon emissions of the power plant and the indirect carbon emissions of the factory.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for quantifying industrial by-product hydrogen carbon emissions based on multi-source data as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium, characterized in that The non-transitory computer-readable storage medium stores a computer program, which, when executed by a processor, implements the industrial by-product hydrogen carbon emission quantification method based on multi-source data as described in any one of claims 1 to 7.

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