Carbon emission evaluation method and system for coal-biomass direct mixing coupled power generation

Abstract

The present application discloses a coal-biomass direct mixing coupled power generation carbon emission evaluation method and system, relates to the related field of carbon emission evaluation, and comprises the following steps: determining the types and characteristics of biomass raw materials, setting blending combustion conditions; establishing a carbon emission parameter calculation model; combining the carbon emissions in the growth, collection, transportation, pretreatment and ash treatment stages of the biomass raw materials, establishing a coal-biomass direct mixing coupled carbon emission full life cycle evaluation model; evaluating the influence of the storage duration of the biomass raw materials on the combustion carbon emission, obtaining a storage duration influence factor, and correcting the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the storage duration influence factor; and using the corrected coal-biomass direct mixing coupled carbon emission full life cycle evaluation model to perform carbon emission evaluation. The present application solves the technical problems of the insufficient accuracy and comprehensiveness of the existing carbon emission evaluation, and achieves the technical effect of improving the accuracy and comprehensiveness of the carbon emission evaluation.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of carbon emission assessment, in particular to a carbon emission assessment method and system for coal-biomass direct mixing coupled power generation. BACKGROUND

[0002] As a renewable energy utilization method, coal-biomass direct mixing coupled power generation is of great significance for reducing dependence on fossil energy and reducing greenhouse gas emissions. The complexity and accuracy of its carbon emission assessment have always been the focus of the industry. Currently, the main method for carbon emission assessment of coal-biomass direct mixing coupled power generation is a simple calculation method based on fuel consumption and combustion efficiency. Although this method can roughly estimate the carbon emissions, it ignores the carbon emission factors in the whole process from the growth to the processing of biomass raw materials, as well as the potential impact of the storage duration of biomass raw materials on combustion carbon emissions. Since the existing method does not fully consider the whole life cycle carbon emissions of biomass power generation, the evaluation results may have large errors, and the real environmental impact of coal-biomass direct mixing coupled power generation cannot be accurately reflected, thus underestimating the carbon emission reduction potential of biomass power generation.

[0003] At the present stage, the carbon emission assessment of coal-biomass direct mixing coupled power generation in the related art has the technical problems of insufficient accuracy and comprehensiveness. SUMMARY

[0004] The present application provides a carbon emission assessment method and system for coal-biomass direct mixing coupled power generation, which determines the biomass raw materials and blending conditions, establishes a carbon emission parameter model, combines the carbon emissions of each stage of the whole life cycle of biomass, constructs a whole life cycle evaluation model, evaluates the impact of storage duration and corrects the model, and uses the corrected model for carbon emission assessment, thereby achieving the technical effects of improving the accuracy and comprehensiveness of carbon emission assessment.

[0005] The present application provides a carbon emission assessment method for coal-biomass direct mixing coupled power generation, which includes: determining the types and characteristics of biomass raw materials, and setting blending conditions; establishing a carbon emission parameter calculation model according to the types and characteristics of the biomass raw materials and the blending conditions; establishing a coal-biomass direct mixing coupled carbon emission whole life cycle evaluation model according to the carbon emission parameter calculation model, combined with the carbon emissions of the growth, collection, transportation, pretreatment and ash disposal stages of the biomass raw materials; evaluating the impact of the storage duration of the biomass raw materials on combustion carbon emissions to obtain a storage duration impact factor, and correcting the coal-biomass direct mixing coupled carbon emission whole life cycle evaluation model according to the storage duration impact factor; and using the corrected coal-biomass direct mixing coupled carbon emission whole life cycle evaluation model to perform carbon emission assessment.

[0006] In a possible implementation, the following processing is performed: the biomass raw material includes wood, rice husk, peanut straw and corn straw, and the characteristics of the biomass raw material include calorific value, carbon content, combustion characteristics and ash characteristics, wherein the combustion characteristics include ignition temperature and burnout temperature.

[0007] In a possible implementation, the following processing is performed: the blending combustion conditions include blending combustion ratio, combustor structure, combustor air distribution form and blending combustion position.

[0008] In a possible implementation, the carbon emission parameter calculation model is established according to the type and characteristics of the biomass raw material and the blending combustion conditions, and the following processing is performed: the expression of the carbon emission parameter calculation model is as follows:

[0009]

[0010] wherein E comb is the total carbon emission amount in the coupled combustion process, E coal,i is the carbon emission amount of the coal under the i th working condition, f bio,i is the blending combustion ratio of the biomass under the i th working condition, η coal,i is the combustion efficiency of the coal under the i th working condition, and is determined according to the blending combustion ratio, the combustor structure, the combustor air distribution form and the blending combustion position, η coal,incomplete,i is the correction coefficient of incomplete combustion of the coal under the i th working condition, E bio,i is the carbon emission amount of the biomass under the i th working condition, η comb,i is the combustion efficiency of the biomass under the i th working condition, and is determined according to the calorific value, the ash content, the ignition temperature, the burnout temperature, the blending combustion ratio, the combustor structure, the combustor air distribution form and the blending combustion position of the biomass raw material, η bio,incomplete,i is the correction coefficient of incomplete combustion of the biomass under the i th working condition; n is the total number of different working conditions, and represents the number of combinations of different blending combustion ratios, combustor structures, combustor air distribution forms and blending combustion positions.

[0011]

[0012]

[0013] wherein W coal,i is the dry weight of the coal under the i th working condition, C coal,i is the carbon content of the coal under the i th working condition, W bio,i is the dry weight of the biomass under the i th working condition, C bio,i is the carbon content of the biomass under the i th working condition.

[0014] In a possible implementation, the carbon emission parameter calculation model is used to calculate the carbon emissions of the growth, collection, transportation, pretreatment and ash treatment stages of the biomass raw material, and a coal-biomass direct mixing coupled carbon emission full life cycle evaluation model is established, and the following processing is performed: the expression of the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model is as follows:

[0015] E LCA = E comb + E growth + E collection + E transport + E preprocessing + E ash ;

[0016] E LCA total carbon emission of the coal-biomass direct mixing coupled carbon emission full life cycle, E growth carbon emission of the growth stage of the biomass, E collection carbon emission of the collection stage of the biomass, E transport carbon emission of the transportation stage of the biomass, E preprocessing carbon emission of the pretreatment stage of the biomass, and E ash carbon emission of the ash treatment stage of the biomass.

[0017] E growth = E absorption + E agriculture ;

[0018]

[0019] E absorption carbon dioxide absorbed by the biomass through photosynthesis, E agriculture carbon emission of agricultural activities, the agricultural activities j amount of the jth agricultural activity, carbon emission factor j carbon emission factor of the jth agricultural activity, and m is the total number of agricultural activities.

[0020] In a possible implementation, after the carbon emission is evaluated by using the modified coal-biomass direct mixing coupled carbon emission full life cycle evaluation model, the following processing is further performed: an optimization model is established with the total carbon emission of the coal-biomass direct mixing coupled carbon emission full life cycle as an optimization target; the blending ratio, the burner structure, the air distribution form of the burner and the blending position are determined as optimization variables; constraint conditions are set according to the blending ratio range, the combustion efficiency range, the combustion incomplete correction coefficient range, the burner structure and the air distribution form of the burner; the optimization model is solved by using a simulated annealing algorithm based on the optimization variables and the constraint conditions to obtain an optimization result; and the blending ratio, the burner structure, the air distribution form of the burner and the blending position in actual operation are adjusted according to the optimization result.

[0021] In a possible implementation, after the optimization result is obtained by solving the optimization model by using a simulated annealing algorithm based on the optimization variables and the constraint conditions, the following processing is further performed: real-time carbon trading market data is accessed to obtain a real-time carbon trading price; a difference between the carbon emission in actual operation and the optimized carbon emission is calculated according to the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model to obtain an emission reduction amount; and the real-time carbon trading price and the emission reduction amount are multiplied to dynamically generate carbon emission reduction income.

[0022] In a possible implementation, the following processing is further performed: a first score is obtained by scoring the sustainability of the biomass raw material source; a second score is obtained by scoring the influence of the collection and use of the biomass raw material on the ecological environment; a third score is obtained by evaluating the degree of resource utilization of agricultural waste by the biomass raw material; and a weighted sum of the first score, the second score and the third score is obtained to obtain a sustainability score of the biomass raw material; and the biomass raw material is selected according to the sustainability score.

[0023] In a possible implementation, the following processing is further performed: a carbon capture efficiency list is generated by evaluating the capture efficiency of a carbon capture scheme in coal-biomass direct mixing coupled power generation; a carbon capture economic benefit list is generated by evaluating the economy of the carbon capture scheme according to the cost of the carbon capture scheme and the carbon trading income; a carbon capture scheme evaluation list is generated by performing a weighted sum of the carbon capture efficiency list and the carbon capture economic benefit list according to the carbon capture scheme; and the optimal carbon capture scheme in the carbon capture scheme evaluation list is selected for carbon recycling.

[0024] The application also provides a carbon emission evaluation system for coal-biomass direct mixing coupled power generation, comprising: a condition determination module, configured to determine the type and characteristics of a biomass raw material, and set a blending combustion condition; a carbon emission parameter calculation model establishment module, configured to establish a carbon emission parameter calculation model according to the type and characteristics of the biomass raw material and the blending combustion condition; a coal-biomass direct mixing coupled carbon emission full life cycle evaluation module, configured to establish a coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the carbon emission parameter calculation model, combined with the carbon emission in the growth, collection, transportation, pretreatment and ash treatment stages of the biomass raw material; a model correction module, configured to evaluate the influence of the storage duration of the biomass raw material on the combustion carbon emission, obtain a storage duration influence factor, and correct the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the storage duration influence factor; and a carbon emission evaluation module, configured to perform carbon emission evaluation by using the corrected coal-biomass direct mixing coupled carbon emission full life cycle evaluation model.

[0025] The carbon emission evaluation method and system for coal-biomass direct mixing coupled power generation provided in the application first determine the type and characteristics of a biomass raw material, set a blending combustion condition, then establish a carbon emission parameter calculation model according to the type and characteristics of the biomass raw material and the blending combustion condition, then establish a coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the carbon emission parameter calculation model, combined with the carbon emission in the growth, collection, transportation, pretreatment and ash treatment stages of the biomass raw material, then evaluate the influence of the storage duration of the biomass raw material on the combustion carbon emission, obtain a storage duration influence factor, correct the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the storage duration influence factor, and finally perform carbon emission evaluation by using the corrected coal-biomass direct mixing coupled carbon emission full life cycle evaluation model. The technical effect of improving the accuracy and comprehensiveness of carbon emission evaluation is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the application, the drawings of the embodiments of the application will be briefly introduced below. In the present application, a flowchart is used to illustrate the operations performed by the system according to the embodiments of the application. It should be understood that the foregoing or the following operations are not necessarily performed in sequence. On the contrary, various steps can be processed in reverse order or simultaneously according to needs. Meanwhile, other operations can be added to these processes, or a step or several steps can be removed from these processes.

[0027] Figure 1 The flowchart of the carbon emission evaluation method for coal-biomass direct mixing coupled power generation provided by the embodiments of the application is shown.

[0028] Figure 2A structure schematic diagram of a carbon emission evaluation system for coal-biomass direct mixing coupled power generation provided by an embodiment of the present application.

[0029] Reference signs: condition determination module 10, carbon emission parameter calculation model establishment module 20, coal-biomass direct mixing coupled carbon emission life cycle evaluation module 30, model correction module 40, carbon emission evaluation module 50. DETAILED DESCRIPTION

[0030] The above description is only a summary of the technical scheme of the present application. In order to make the technical means of the present application more clear, the present application can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described.

[0031] In order to make the purposes, technical schemes and advantages of the present application more clear, the following will further describe the present application with reference to the accompanying drawings, and the described embodiments should not be regarded as limiting the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0032] In the following description, "some embodiments" are described, which describe a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subset of all possible embodiments, and can be combined with each other without conflict, and the term "first\second" referred to only distinguishes similar objects, and does not represent a specific order of the objects. The terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as understood by those skilled in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0033] The embodiments of the present application provide a carbon emission evaluation method for coal-biomass direct mixing coupled power generation, as shown in the figure, the method comprises: Figure 1

[0034] Step S100, determine the type and characteristics of the biomass raw material, and set the blending condition.

[0035] ​Specifically, by field research, sample collection and laboratory analysis, the types of biomass raw materials are determined, such as crop straw, forest waste, urban organic garbage, etc. The elemental composition (carbon, hydrogen, oxygen, nitrogen, sulfur, etc.), heat value, ash content, moisture content and other key characteristics of the biomass raw materials are determined by using chemical analysis instruments (such as elemental analyzer, heat value tester). According to the characteristics of the biomass raw materials, combined with the design parameters and operation experience of the coal-fired boiler, the blending ratio, blending method (such as direct blending, gasification blending, etc.), blending position and other conditions of the biomass raw materials are set. The biomass raw material refers to an organic matter derived from plants, animals or microorganisms, which can be used as a raw material for energy production. The blending condition refers to the condition required to be met when the biomass raw material is mixed and burned with coal in the boiler.

[0036] In one possible implementation, step S100 further includes step S110, the biomass raw material includes wood, rice husk, peanut straw and corn straw, and the characteristics of the biomass raw material include heat value, carbon content, combustion characteristics and ash characteristics, wherein the combustion characteristics include ignition temperature and burnout temperature.

[0037] Specifically, through market research, supplier consultation and field investigation, the types of biomass raw materials are determined as wood, rice husk, peanut straw and corn straw. Samples of various biomass raw materials are collected for preliminary classification and identification.

[0038] The heat value of the biomass raw material is determined using a bomb calorimeter and other heat value determination instruments. The sample is placed in the bomb calorimeter and burned under certain conditions, and the heat released during combustion is measured to obtain the heat value data. The heat value is the heat released during complete combustion of unit mass of biomass raw material.

[0039] Elemental analysis of the biomass raw material is performed using an elemental analyzer, particularly the content of carbon element. The sample is crushed to an appropriate particle size and sent to the elemental analyzer, and the content of carbon element is determined by high-temperature combustion and gas detection, i.e. the mass fraction of carbon element in the biomass raw material.

[0040] Using a thermogravimetric analyzer or a differential thermal analyzer, the temperature at which the biomass raw material starts to burn, i.e. the ignition temperature, is observed and recorded under programmed temperature conditions. Similarly, using a thermogravimetric analyzer or a differential thermal analyzer, the temperature at which the biomass raw material completely burns, i.e. the burnout temperature, is recorded.

[0041] The biomass raw material is burned at high temperature until the weight is constant, the weight of the remaining ash is weighed, and the chemical composition analysis is performed. The sample is placed in a muffle furnace and burned at high temperature for a certain period of time, then cooled, weighed, and sampled for chemical analysis. This implementation provides a reliable data basis for the entire carbon emission evaluation scheme by detailed determination of the characteristics of the biomass raw material, ensuring the accuracy and reliability of the evaluation results.

[0042] In a possible implementation, step S100 further includes step S120, and the blending combustion condition includes a blending ratio, a burner structure, a burner air distribution form, and a blending position.

[0043] Specifically, under laboratory conditions, the combustion efficiency and carbon emissions under different blending ratios are tested using a small-scale combustion device or simulation software to find the optimal blending ratio. The blending ratio refers to the mass ratio of biomass raw materials to coal during the mixed combustion process. The combustion characteristics of the biomass raw materials (such as ignition temperature, burnout temperature, etc.) are analyzed to determine the flow field distribution inside the burner, fuel injection method, ignition device, etc. to ensure that the biomass raw materials and coal can be fully mixed and efficiently burned. During the design or operation of the burner, the ratio and speed of the primary air and the secondary air are adjusted according to the combustion characteristics of the biomass raw materials and the blending ratio to ensure stable combustion and low carbon emissions. The combustion zone, temperature distribution, and air flow velocity of the coal-fired boiler are analyzed to determine the optimal blending position of the biomass raw materials to ensure that the biomass raw materials can be fully burned and carbon emissions are reduced. This implementation provides a reliable basis for the establishment and correction of the model by determining the blending condition before evaluating carbon emissions, thereby improving the accuracy and reliability of carbon emission evaluation.

[0044] Step S200: Establish a carbon emission parameter calculation model according to the type and characteristics of the biomass raw materials and the blending condition.

[0045] Specifically, based on the characteristics of the biomass raw materials (such as calorific value, elemental composition) and the blending condition (such as blending ratio, method), a carbon emission parameter calculation model is established. This model can calculate the carbon emissions of biomass raw materials and coal during the coal-biomass direct mixing coupled power generation process.

[0046] In a possible implementation, step S200 further includes step S210, and the carbon emission parameter calculation model is expressed as follows:

[0047]

[0048] wherein E is the total carbon emissions during the coupled combustion process, E is the carbon emissions of coal under the i th working condition, f is the blending ratio of biomass under the i th working condition, η is the combustion efficiency of coal under the i th working condition, which is determined according to the blending ratio, the burner structure, the burner air distribution form, and the blending position, η is the correction coefficient of incomplete combustion of coal under the i th working condition, and E is the carbon emissions of biomass under the i th working condition. comb is the total carbon emissions during the coupled combustion process, E coal,i is the carbon emissions of coal under the i th working condition, f bio,i is the blending ratio of biomass under the i th working condition, η coal,i is the combustion efficiency of coal under the i th working condition, which is determined according to the blending ratio, the burner structure, the burner air distribution form, and the blending position, η coal,incomplete,i is the correction coefficient of incomplete combustion of coal under the i th working condition, and E bio,iis the carbon emission of the biomass under the i th working condition, η comb,i is the combustion efficiency of the biomass under the i th working condition, determined according to the calorific value, ash content, ignition temperature, burnout temperature, blending ratio, combustor structure, air distribution form of the combustor and blending position of the biomass raw material, η bio,incomplete,i is the correction coefficient of the incomplete combustion of the biomass under the i th working condition; n is the total number of different working conditions, representing the number of combinations of different blending ratios, combustor structures, air distribution forms of the combustor and blending positions;

[0049]

[0050] wherein, W coal,i is the dry weight of the coal under the i th working condition, C coal,i is the carbon content of the coal under the i th working condition, W bio,i is the dry weight of the biomass under the i th working condition, C bio,i is the carbon content of the biomass under the i th working condition.

[0051] Specifically, according to the carbon emission characteristics of coal combustion and biomass combustion, and the influence of blending conditions on combustion efficiency and carbon emission, the expression of the carbon emission parameter calculation model is constructed. The total carbon emission refers to the total carbon emission in the process of coal-biomass direct mixing coupled power generation, including the carbon emission of coal and biomass combustion. The carbon emission of coal refers to the carbon emission generated by coal combustion under a given working condition. The blending ratio of biomass refers to the blending ratio of biomass raw material in the process of coal-biomass direct mixing coupled power generation. The combustion efficiency of coal refers to the combustion efficiency of coal in the combustion process, which is affected by the blending conditions. The correction coefficient of incomplete combustion of coal is used to correct the increase of carbon emission caused by incomplete combustion of coal. The carbon emission of biomass refers to the carbon emission generated by biomass combustion under a given working condition. The combustion efficiency of biomass refers to the combustion efficiency of biomass raw material in the combustion process, which is affected by the characteristics of biomass raw material and blending conditions. The correction coefficient of incomplete combustion of biomass is used to correct the increase of carbon emission caused by incomplete combustion of biomass. The dry weight of coal refers to the weight of coal in the dry state. The carbon content of coal refers to the mass fraction of carbon elements in coal. The dry weight of biomass refers to the weight of biomass raw material in the dry state. The carbon content of biomass refers to the mass fraction of carbon elements in biomass raw material. For the parameters such as dry weight and carbon content of coal and biomass, they are obtained by experimental measurement; for the parameters such as combustion efficiency and correction coefficient of incomplete combustion, they are obtained by simulation calculation. This implementation mode quantifies the total carbon emission in the process of coal-biomass direct mixing coupled power generation by constructing a carbon emission parameter calculation model, and provides a scientific basis for evaluating the carbon emission level.

[0052] In step S300, according to the carbon emission parameter calculation model, a coal-biomass direct mixing coupled carbon emission life cycle assessment model is established by combining the carbon emission in the growth, collection, transportation, pretreatment and ash disposal stages of biomass raw material.

[0053] Specifically, the carbon emission parameter calculation model is added to the carbon emissions of the biomass raw material growth, collection, transportation, pretreatment and ash treatment stages to obtain the total life cycle carbon emissions of the coal-biomass direct mixing coupled power generation process, and a coal-biomass direct mixing coupled carbon emission total life cycle evaluation model is established. The model is used for comprehensive evaluation of the carbon emission of the coal-biomass direct mixing coupled power generation.

[0054] In a possible implementation, the coal-biomass direct mixing coupled carbon emission total life cycle evaluation model is established according to the carbon emission parameter calculation model combined with the carbon emissions of the biomass raw material growth, collection, transportation, pretreatment and ash treatment stages, and step S300 further includes step S310, and an expression of the coal-biomass direct mixing coupled carbon emission total life cycle evaluation model is as follows:

[0055] E LCA = E comb + E growth + E collection + E transport + E preprocessing + E ash ;

[0056] Wherein, W LCA represents the total carbon emissions of the coal-biomass direct mixing coupled total life cycle, E growth represents the carbon emissions of the biomass growth stage, E collection represents the carbon emissions of the biomass collection stage, E transport represents the carbon emissions of the biomass transportation stage, E preprocessing represents the carbon emissions of the biomass pretreatment stage, and E ash represents the carbon emissions of the biomass ash treatment stage.

[0057] E growth = E absorption + E agriclture ;

[0058]

[0059] Wherein, E absorption represents the amount of carbon dioxide absorbed by the biomass through photosynthesis, E agriculture represents the carbon emissions generated by agricultural activities, and the agricultural activities j represents the amount of the jth agricultural activity, and the carbon emission factor j represents the carbon emission factor of the jth agricultural activity, and m is the total number of agricultural activities.

[0060] Specifically, the established carbon emission parameter calculation model is taken as the basis, and the total carbon emission amount therein is taken as the part of the combustion carbon emission amount in the coal-biomass direct mixing coupled power generation process. By consulting relevant literature or using professional models, the amount of carbon dioxide absorbed by the biomass raw material during the growth process through photosynthesis and the carbon emission amount generated by agricultural activities (such as plowing, fertilization, irrigation, etc.) are estimated. According to factors such as the collection method, distance, and energy consumption of the biomass raw material, the carbon emission amount in the collection process is calculated. According to factors such as the type, distance, and energy consumption of the transportation tool, the carbon emission amount in the transportation process is calculated. According to factors such as the pretreatment process and equipment energy consumption, the carbon emission amount in the pretreatment process is calculated. According to the ash residue treatment method (such as landfill, stacking, or recycling, etc.), the carbon emission amount in the ash residue treatment process is calculated. For each stage, detailed data and information such as the type, quantity, and treatment method of the biomass raw material are collected. Using professional carbon emission calculation tools or software, the carbon emission amount of each stage is calculated according to the collected data and information. The combustion carbon emission amount (from the carbon emission parameter calculation model) is added to the carbon emission amount of each stage of the biomass raw material to obtain the total carbon emission amount of the coal-biomass direct mixing coupled carbon emission full life cycle. This implementation method builds a coal-biomass direct mixing coupled carbon emission full life cycle evaluation model, which not only considers the carbon emission amount in the combustion process, but also considers the carbon emission amount in the growth, collection, transportation, pretreatment, and ash residue treatment stages of the biomass raw material, thereby ensuring the comprehensiveness and accuracy of the evaluation results, and providing scientific basis and technical support for formulating emission reduction measures, optimizing power generation processes, and promoting sustainable development.

[0061] In step S400, the influence of the storage duration of the biomass raw material on the combustion carbon emission is evaluated to obtain a storage duration influence factor, and the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model is modified according to the storage duration influence factor.

[0062] Specifically, through experimental or simulation research, the influence of the storage duration of the biomass raw material on its water content, calorific value, and other characteristics is analyzed, and then the influence of the storage duration on the combustion carbon emission is evaluated. According to the analysis results, the influence factor of the storage duration of the biomass raw material on the combustion carbon emission is determined. The storage duration influence factor is introduced into the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model to modify the model, thereby improving the accuracy and applicability of the model. The storage duration refers to the time experienced by the biomass raw material from harvesting to combustion. The storage duration influence factor refers to a quantitative indicator of the influence of the storage duration of the biomass raw material on its combustion carbon emission. The specific modification is as follows:

[0063]

[0064] wherein, η age,iis the influence factor of the biomass residence time on the carbon emission in the i-th working condition (0-1), which reflects the influence of the residence time on the biomass combustion efficiency and the carbon emission, and the calculation of the residence time influence factor is as follows:

[0065]

[0066] wherein, t age,i is the residence time of the biomass (days) in the i-th working condition, t ref is the reference residence time (days) for normalizing the influence of the residence time.

[0067] In step S500, the corrected carbon emission full life cycle evaluation model of the coal-biomass direct mixing coupling is used to perform carbon emission evaluation.

[0068] Specifically, the types, characteristics, blending conditions and residence time of the biomass raw materials and other parameters are input into the corrected carbon emission full life cycle evaluation model of the coal-biomass direct mixing coupling. The model is run to calculate the carbon emission in the coal-biomass direct mixing coupling power generation process, and evaluation is performed. According to the evaluation results, the carbon emission of the coal-biomass direct mixing coupling power generation is analyzed, and emission reduction measures and suggestions are proposed. The embodiments of the present application use the technical means of determining the biomass raw materials and blending conditions, establishing a carbon emission parameter model, combining the carbon emission in each stage of the full life cycle of the biomass, constructing a full life cycle evaluation model, evaluating the influence of the residence time and correcting the model, and using the corrected model to perform carbon emission evaluation, so as to achieve the technical effects of improving the accuracy and comprehensiveness of carbon emission evaluation.

[0069] In one possible implementation, after the corrected carbon emission full life cycle evaluation model of the coal-biomass direct mixing coupling is used to perform carbon emission evaluation, the method further includes: establishing an optimization model with the total carbon emission of the coal-biomass direct mixing coupling full life cycle as the optimization target; determining the blending ratio, the combustor structure, the combustor air distribution form and the blending position as the optimization variables; setting constraint conditions according to the blending ratio range, the combustion efficiency range, the combustion incomplete correction coefficient range, the combustor structure and the combustor air distribution form; based on the optimization variables and the constraint conditions, using a simulated annealing algorithm to solve the optimization model to obtain an optimization result; and adjusting the blending ratio, the combustor structure, the combustor air distribution form and the blending position in actual operation according to the optimization result.

[0070] Specifically, the total carbon emissions of the coal-biomass direct mixing coupled carbon emission life cycle (i.e., the modified carbon emission evaluation result obtained in step S500) is taken as the objective function of the optimization model. The objective function is used to minimize the total carbon emissions to achieve a more environmentally friendly and lower carbon power generation process. The blending ratio, burner structure, burner air distribution form, and blending position are taken as optimization variables, which are key factors affecting carbon emissions in the coal-biomass direct mixing coupled power generation process and are variables that need to be adjusted in the optimization model to seek the optimal solution. According to the blending ratio range, combustion efficiency range, combustion incomplete correction coefficient range, burner structure, and burner air distribution form, the constraint conditions of the optimization model are set to ensure that the optimization process is carried out within a reasonable and feasible range. The optimization variables and constraint conditions are input into the simulated annealing algorithm for iterative solution until the solution that satisfies the constraint conditions and makes the objective function minimum is found. The simulated annealing algorithm is an optimization algorithm based on the physical annealing process, which finds the global optimal solution by simulating the process of gradually reducing the temperature and gradually reducing the system energy in the metal annealing process. After obtaining the optimization result, the blending ratio, burner structure, burner air distribution form, and blending position parameters are adjusted to the values corresponding to the optimal solution by adjusting the settings of the combustion equipment and changing the mixing ratio of biomass and coal. This implementation can minimize the carbon emissions of the coal-biomass direct mixing coupled power generation process, thereby achieving a more environmentally friendly and lower carbon power generation method.

[0071] The following is a specific example: E LCA is taken as the optimization target, the blending ratio, burner structure, burner air distribution form, and blending position are taken as optimization variables, and the constraint conditions are set according to actual operation experience and equipment limitations. The constraint conditions are shown in Table 1.

[0072] Table 1: Constraint conditions

[0073]

[0074] The simulated annealing algorithm is used to solve the optimization model, and the specific steps are as follows. Initialization: a set of initial solutions is randomly generated, including the blending ratio, burner structure, air distribution form, and blending position; evaluate the objective function: according to the initial solution, calculate the total carbon emissions E LCA ; iterative process: a new set of solutions is randomly generated to ensure that the constraint conditions are met, and the total carbon emissions of the new solution are calculated. If the carbon emissions of the new solution are lower, the new solution is accepted, otherwise, according to the probability acceptance criterion of the simulated annealing algorithm, the new solution is accepted with a certain probability, the "temperature" parameter is gradually reduced, and the random variation range of the new solution is gradually reduced to gradually approach the optimal solution; termination condition: when the preset number of iterations is reached or the "temperature" is reduced to a sufficiently low value, the iteration is stopped and the optimal solution is output. The optimization results are shown in Table 2.

[0075] Table 2: Optimization results

[0076]

[0077] In one possible implementation, after the optimization model is solved based on the optimization variables and the constraint conditions using the simulated annealing algorithm to obtain the optimization results, the method further includes: accessing real-time carbon trading market data to obtain a real-time carbon trading price; calculating a difference between the carbon emissions in actual operation and the optimized carbon emissions according to the coal-biomass direct mixing coupled carbon emission full life cycle assessment model to obtain an emission reduction amount; and multiplying the real-time carbon trading price and the emission reduction amount to dynamically generate carbon emission reduction revenue.

[0078] Specifically, the carbon trading price data (the trading price of carbon emission quotas or credit limits in the carbon trading market) is obtained in real time from the official website of the carbon trading market (a market allowing enterprises and individuals to buy and sell carbon emission quotas or credit limits) or a third-party data provider through an API (application programming interface) or data scraping technology. A timing task or event triggering mechanism is set to ensure that the data can be updated into the system in real time or near real time.

[0079] Based on the corrected coal-biomass direct mixing coupled carbon emission full life cycle assessment model, the actual carbon emissions are obtained by inputting the parameters (such as the blending ratio and the burner structure) in actual operation into the model, and the optimized carbon emissions are obtained by inputting the optimized parameters into the model. The difference between the two is calculated to obtain the emission reduction amount.

[0080] The calculated real-time carbon trading price and the calculated emission reduction amount are multiplied to automatically calculate and update the carbon emission reduction revenue, which is the revenue obtained in the carbon trading market due to the reduction of carbon emissions. This implementation can directly observe the economic benefits of taking emission reduction measures by accessing real-time carbon trading market data and calculating the carbon emission reduction revenue brought by the emission reduction amount, which not only helps to improve the environmental awareness and social responsibility of enterprises, but also brings additional economic benefits to enterprises, forming a virtuous cycle.

[0081] In one possible implementation, the method further includes: scoring the sustainability of the biomass raw material source to obtain a first score; scoring the impact of the collection and use of the biomass raw material on the ecological environment to obtain a second score; evaluating the degree of resource utilization of agricultural waste by the biomass raw material to obtain a third score; and performing weighted summation on the first score, the second score, and the third score to obtain a sustainability score of the biomass raw material; and selecting the biomass raw material based on the sustainability score.

[0082] Specifically, the source information of the biomass raw material is collected, including planting methods (whether organic, whether using a large amount of chemical fertilizers and pesticides), growth cycle, land use (whether rotation, whether leading to land degradation). According to the preset scoring rules, the scoring rules are as follows: +3 points for organic planting and no use of chemical fertilizers and pesticides; +2 points for short growth cycle (such as annual crops); +2 points for rotation and no land degradation; +1 point for other cases.

[0083] The environmental impact that may be generated in the collection process (such as mechanical harvesting, manual collection) and use process of the biomass raw material is analyzed, such as soil compaction, biodiversity destruction, water pollution, etc. According to the degree and range of influence, the scoring is carried out according to the preset scoring rules, and the scoring rules are as follows: mechanical harvesting but no soil compaction or biodiversity destruction: +2 points; manual collection and no significant negative impact on the environment: +3 points; slight environmental impact (such as small range of soil compaction): +1 point; significant environmental impact (such as serious water pollution): 0 points.

[0084] It is evaluated whether the biomass raw material is derived from agricultural waste (useless or no longer needed materials generated in the agricultural production process, such as straw, rice husk, etc.), and the utilization rate of these wastes. The higher the utilization rate, the higher the degree of resource utilization of agricultural waste, and the higher the score. The preset scoring rules are as follows: completely derived from agricultural waste and high utilization rate (>80%): +4 points; partially derived from agricultural waste and moderate utilization rate (50%-80%): +3 points; derived from agricultural waste but low utilization rate (<50%): +2 points; not derived from agricultural waste: 0 points.

[0085] According to the importance of each scoring item (the first scoring weight: 0.4; the second scoring weight: 0.3; the third scoring weight: 0.3), then multiply each scoring item by the corresponding weight and add them up to get a comprehensive score reflecting the overall sustainability of the biomass raw material. The sustainability scores of different biomass raw materials are compared, and the biomass raw material with higher score is selected as the raw material for coal-biomass direct mixing coupled power generation. This implementation mode can ensure that the selected raw material not only meets the environmental protection requirements, but also promotes the sustainability of agricultural production and the development of circular economy through comprehensive evaluation of the sustainability of the biomass raw material.

[0086] Suppose there are three kinds of biomass raw materials: wood, rice husk and corn straw, and the scoring process is shown in Tables 3-6.

[0087] Table 3: First score

[0088] Biomass feedstock Planting method Growth cycle Land use First score Wood Organically grown Long cycle Crop rotation, no degradation 3 Rice hulls Organically grown Short cycle Crop rotation, no degradation 7 Corn stover Non-organic Short cycle Crop rotation, no degradation 5

[0089] Table 4: Second score

[0090] Biomass feedstock Harvesting method Environmental impact Second score Wood Mechanized No significant impact 2 Rice hulls Harvested by hand No significant impact 3 Corn stover Mechanized Light soil compaction 1

[0091] Table 5: Third score

[0092]

[0093] Table 6: Comprehensive score

[0094] Biomass feedstock First score Second score Third score Overall score Wood 3 2 0 1.4 Rice hulls 7 3 4 4.9 Corn stover 5 1 3 2.8

[0095] According to the comprehensive score, the score of rice husk is the highest (4.9 points), so rice husk is preferentially selected as the raw material for coal-biomass direct co-firing power generation.

[0096] In a possible implementation, the method further comprises: evaluating the capture efficiency of the carbon capture scheme in coal-biomass direct co-firing power generation to generate a carbon capture efficiency list; evaluating the economy of the carbon capture scheme according to the cost of the carbon capture scheme and the carbon trading income to generate a carbon capture economic benefit list; performing a weighted sum on the carbon capture efficiency list and the carbon capture economic benefit list according to the carbon capture scheme to generate a carbon capture scheme evaluation list; and selecting an optimal carbon capture scheme in the carbon capture scheme evaluation list for carbon recycling.

[0097] Specifically, existing carbon capture technologies are collected, including chemical absorption, physical adsorption, membrane separation, low-temperature separation, etc. For the application of each technology in the coal-biomass direct co-firing power generation system, the capture efficiency is evaluated by simulation or experimental means. The capture efficiency is measured by the ratio of the amount of captured carbon dioxide to the total emission. The capture efficiencies of different carbon capture technologies are sorted into a list, which contains information such as scheme name, capture efficiency, and technical characteristics.

[0098] The cost (including equipment investment, operation and maintenance cost, etc.) and carbon trading income of the carbon capture scheme are analyzed. The carbon trading income includes two parts: one is the direct sales income, that is, the income obtained by selling the captured carbon dioxide to enterprises or institutions that need it (such as chemical, food, agricultural, etc.), which is based on the real-time carbon trading price and market supply and demand relationship. The other is the carbon emission reduction income, that is, the amount of carbon emission reduction due to the implementation of the carbon capture scheme, which can be converted into carbon credit in the carbon trading market, and then the economic value obtained by selling or used for enterprise's own emission reduction target realization. The direct sales income and carbon emission reduction income are combined, and the cost (including initial investment, operation and maintenance, energy consumption, etc.) is subtracted to obtain the net income of the carbon capture scheme. The economic evaluation results of different carbon capture schemes are sorted into a list, which contains information such as scheme name, cost, income, net income, etc.

[0099] The weights are set according to the importance of capture efficiency and economic benefits, and then the corresponding items in the two lists are weighted and summed to obtain a comprehensive score. The weights can be adjusted according to specific needs and policy guidance. The comprehensive score is sorted into a list containing information such as scheme name, capture efficiency, cost, benefit, and comprehensive score. According to the comprehensive score in the carbon capture scheme evaluation list, the highest scoring scheme is selected as the optimal scheme. Then, a carbon recycling scheme is designed and implemented to utilize the captured carbon dioxide in industrial production, agricultural fertilization, geological sequestration, and other fields to maximize resource utilization and minimize environmental impact. This implementation method selects the optimal scheme by evaluating the capture efficiency and economic efficiency of different carbon capture schemes, achieving efficient capture and effective utilization of carbon dioxide, which not only helps to reduce greenhouse gas emissions but also brings economic benefits, promoting the sustainable development of the coal-biomass direct mixing coupled power generation system.

[0100] In the foregoing, with reference to Figure 1 The carbon emission evaluation method for coal-biomass direct mixing coupled power generation according to the embodiments of the present application is described in detail. Next, with reference to Figure 2 The carbon emission evaluation system for coal-biomass direct mixing coupled power generation according to the embodiments of the present application will be described.

[0101] The carbon emission evaluation system for coal-biomass direct mixing coupled power generation according to the embodiments of the present application is used to solve the technical problem of insufficient accuracy and comprehensiveness of carbon emission evaluation in the prior art, achieving the technical effect of improving the accuracy and comprehensiveness of carbon emission evaluation. The carbon emission evaluation system for coal-biomass direct mixing coupled power generation includes a condition determination module 10, a carbon emission parameter calculation model establishment module 20, a coal-biomass direct mixing coupled carbon emission full life cycle evaluation module 30, a model correction module 40, and a carbon emission evaluation module 50.

[0102] The condition determination module 10 is used to determine the types and characteristics of biomass raw materials and set blending conditions. The carbon emission parameter calculation model establishment module 20 is used to establish a carbon emission parameter calculation model according to the types and characteristics of the biomass raw materials and the blending conditions. The coal-biomass direct mixing coupled carbon emission full life cycle evaluation module 30 is used to establish a coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the carbon emission parameter calculation model, combined with the carbon emissions in the growth, collection, transportation, pretreatment, and ash disposal stages of biomass raw materials. The model correction module 40 is used to evaluate the impact of the standing time of biomass raw materials on combustion carbon emissions to obtain a standing time impact factor, and correct the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the standing time impact factor. The carbon emission evaluation module 50 is used to perform carbon emission evaluation using the corrected coal-biomass direct mixing coupled carbon emission full life cycle evaluation model.

[0103] The specific configuration of the condition determining module 10 will be described in detail below. As described above, the condition determining module 10 can further include a kind characteristic determining unit for determining the characteristics of the biomass raw material including wood, rice husk, peanut straw and corn straw, the characteristics of the biomass raw material including calorific value, carbon content, combustion characteristic and ash characteristic, wherein the combustion characteristic includes ignition temperature and burnout temperature.

[0104] The condition determining module 10 can further include a blending condition determining unit for determining the blending condition including blending ratio, combustor structure, combustor air distribution form and blending position.

[0105] The specific configuration of the carbon emission parameter calculation model establishing module 20 will be described in detail below. As described above, the carbon emission parameter calculation model is established according to the kind, characteristics of the biomass raw material and the blending condition, the carbon emission parameter calculation model establishing module 20 can further include a carbon emission parameter calculation model expression constructing unit for constructing the expression of the carbon emission parameter calculation model as follows:

[0106]

[0107] wherein E comb is the total carbon emission amount in the coupled combustion process, E coal,i is the carbon emission amount of the coal under the i-th working condition, f bio,i is the blending ratio of the biomass under the i-th working condition, η coal,i is the combustion efficiency of the coal under the i-th working condition, which is determined according to the blending ratio, combustor structure, combustor air distribution form and blending position, η coal,incomplete,i is the correction coefficient of incomplete combustion of the coal under the i-th working condition, E bio,i is the carbon emission amount of the biomass under the i-th working condition, η comb,i is the combustion efficiency of the biomass under the i-th working condition, which is determined according to the calorific value, ash, ignition temperature, burnout temperature, blending ratio, combustor structure, combustor air distribution form and blending position of the biomass raw material, η bio,incomplete,i is the correction coefficient of incomplete combustion of the biomass under the i-th working condition; n is the total number of different working conditions, representing the number of combinations of different blending ratio, combustor structure, combustor air distribution form and blending position;

[0108]

[0109] wherein W coal,i is the dry weight of the coal under the i-th working condition, C coal,i is the carbon content of the coal under the i-th working condition, W bio,i is the dry weight of the biomass under the i-th working condition, C bio,i is the carbon content of the biomass under the i-th working condition.

[0110] The specific configuration of the coal-biomass direct mixing coupled carbon emission full life cycle evaluation module 30 will be described in detail below. As described above, according to the carbon emission parameter calculation model, the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model is established by combining the carbon emissions of the growth, collection, transportation, pretreatment and ash treatment stages of the biomass raw material. The coal-biomass direct mixing coupled carbon emission full life cycle evaluation module 30 can further include a coal-biomass direct mixing coupled carbon emission full life cycle evaluation model expression construction unit for the expression of the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model as follows:

[0111] E LCA comb +E growth +E collection +E transpost +E preprocessing +E ash ;

[0112] E LCA represents the total carbon emission of the coal-biomass direct mixing coupled carbon emission full life cycle, E growth represents the carbon emission of the biomass growth stage, E collection represents the carbon emission of the biomass collection stage, E transport represents the carbon emission of the biomass transportation stage, E preprocessing represents the carbon emission of the biomass pretreatment stage, and E ash represents the carbon emission of the biomass ash treatment stage.

[0113] E growth absorption +E agriculture ;

[0114]

[0115] E absorption represents the amount of carbon dioxide absorbed by the biomass through photosynthesis, E agriculture represents the carbon emission of agricultural activities, and the agricultural activities j represents the amount of the jth agricultural activity, and the carbon emission factor j represents the carbon emission factor of the jth agricultural activity, and m is the total number of agricultural activities.

[0116] ​​Wherein, after the carbon emission is evaluated by using the modified coal-biomass direct mixing coupled carbon emission full life cycle evaluation model, the system can further comprise: an optimization model establishing module for establishing an optimization model with the total carbon emission of the coal-biomass direct mixing coupled carbon emission full life cycle as the optimization target; an optimization variable determining module for determining the mixing ratio, the burner structure, the air distribution form of the burner and the mixing position as the optimization variables; a constraint condition setting module for setting the constraint conditions according to the mixing ratio range, the combustion efficiency range, the combustion incomplete correction coefficient range, the burner structure and the air distribution form of the burner; a model solving module for solving the optimization model by using the simulated annealing algorithm based on the optimization variables and the constraint conditions to obtain the optimization result; and an adjusting module for adjusting the mixing ratio, the burner structure, the air distribution form of the burner and the mixing position in actual operation according to the optimization result.

[0117] Wherein, after the optimization model is solved by using the simulated annealing algorithm based on the optimization variables and the constraint conditions to obtain the optimization result, the system can further comprise: a real-time carbon trading price obtaining module for obtaining the real-time carbon trading price by accessing the carbon trading market data in real time; an emission reduction amount calculating module for calculating the difference between the carbon emission in actual operation and the optimized carbon emission to obtain the emission reduction amount according to the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model; and a carbon emission reduction income generating module for multiplying the real-time carbon trading price and the emission reduction amount to dynamically generate the carbon emission reduction income.

[0118] Wherein, the system can further comprise: a scoring module for scoring the sustainability of the biomass raw material to obtain a first score, scoring the impact of the collection and use of the biomass raw material on the ecological environment to obtain a second score, and evaluating the degree of resource utilization of the biomass raw material to agricultural waste to obtain a third score; a weighted sum module for weighted summing the first score, the second score and the third score to obtain the sustainability score of the biomass raw material; and a preferred selection module for preferentially selecting the biomass raw material according to the sustainability score.

[0119] Wherein, the system can further comprise: a capture efficiency evaluation module for evaluating the capture efficiency of the carbon capture scheme in the coal-biomass direct mixing coupled power generation to generate a carbon capture efficiency list; an economic evaluation module for evaluating the economy of the carbon capture scheme according to the cost and the carbon trading income of the carbon capture scheme to generate a carbon capture economic benefit list; a carbon capture scheme evaluation list generating module for weighted summing the carbon capture efficiency list and the carbon capture economic benefit list according to the carbon capture scheme to generate a carbon capture scheme evaluation list; and a carbon recycling module for selecting the optimal carbon capture scheme in the carbon capture scheme evaluation list for carbon recycling.

[0120] The carbon emission evaluation system for coal-biomass direct mixing coupled power generation provided by the embodiment of the present application can execute the carbon emission evaluation method for coal-biomass direct mixing coupled power generation provided by any embodiment of the present application, and has the function modules and beneficial effects corresponding to the execution method.

[0121] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or server, and each unit and module included is only divided according to the functional logic, but is not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for the convenience of mutual differentiation, and do not limit the protection scope of the present application.

[0122] The above specific embodiments do not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be executed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

Claims

1. A method for evaluating carbon emissions of coal-biomass direct co-firing power generation, characterized in that, The method comprises: determining the type and characteristics of the biomass raw material, and setting the blending combustion condition; establishing a carbon emission parameter calculation model according to the type and characteristics of the biomass raw material and the blending combustion condition; establishing a coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the carbon emission parameter calculation model and the carbon emissions in the growth, collection, transportation, pretreatment and ash treatment stages of the biomass raw material; evaluating the influence of the storage duration of the biomass raw material on the combustion carbon emission to obtain a storage duration influence factor, and correcting the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model according to the storage duration influence factor; performing carbon emission evaluation by using the corrected coal-biomass direct mixing coupled carbon emission full life cycle evaluation model; the biomass raw material comprises wood, rice husk, peanut straw and corn straw, and the characteristics of the biomass raw material include calorific value, carbon content, combustion characteristics and ash characteristics, wherein the combustion characteristics include ignition temperature and burnout temperature; the blending combustion condition includes blending ratio, combustor structure, combustor air distribution form and blending position; the carbon emission parameter calculation model is established according to the type and characteristics of the biomass raw material and the blending combustion condition, which comprises: the expression of the carbon emission parameter calculation model is as follows: ； wherein, is the total carbon emission in the coupled combustion process, is the carbon emission of coal under the i-th operating condition, is the blending ratio of biomass under the i-th operating condition, is the combustion efficiency of coal under the i-th operating condition, determined according to the blending ratio, the burner structure, the air distribution form of the burner and the blending position, is the correction coefficient of incomplete combustion of coal under the i-th operating condition, is the carbon emission of biomass under the i-th operating condition, is the combustion efficiency of biomass under the i-th operating condition, determined according to the calorific value, the ash content, the ignition temperature, the burnout temperature of the biomass raw material, the blending ratio, the burner structure, the air distribution form of the burner and the blending position, is the correction coefficient of incomplete combustion of biomass under the i-th operating condition; n is the total number of different operating conditions, representing the number of combinations of different blending ratios, burner structures, air distribution forms of the burner and blending positions. = ； = ； wherein, is the dry weight of coal under the i-th operating condition, is the carbon content of coal under the i-th operating condition, is the dry weight of biomass under the i-th operating condition, is the carbon content of biomass under the i-th operating condition.

2. The method of claim 1, wherein the coal-biomass direct co-firing power plant is a coal-biomass direct co-firing power plant. the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model is established according to the carbon emission parameter calculation model and the carbon emissions in the growth, collection, transportation, pretreatment and ash treatment stages of the biomass raw material, which comprises: the expression of the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model is as follows: ； wherein, represents the total carbon emission of the coal-biomass direct mixing coupled carbon emission in the whole life cycle, represents the carbon emission in the biomass growth stage, represents the carbon emission in the biomass collection stage, represents the carbon emission in the biomass transportation stage, represents the carbon emission in the biomass pretreatment stage, represents the carbon emission in the biomass ash treatment stage; = + ； = ； wherein, represents the amount of carbon dioxide absorbed by the biomass through photosynthesis, represents the amount of carbon emissions generated by agricultural activities.

3. The method of claim 2, wherein the coal-biomass direct co-firing power plant is a coal-biomass direct co-firing power plant with a capacity of 300 MW or more. after performing carbon emission evaluation by using the corrected coal-biomass direct mixing coupled carbon emission full life cycle evaluation model, the method further comprises: establishing an optimization model with the total carbon emission of the coal-biomass direct mixing coupled carbon emission full life cycle as the optimization objective; determining the blending ratio, combustor structure, combustor air distribution form and blending position as optimization variables; setting constraint conditions according to the blending ratio range, combustion efficiency range, combustion incompleteness correction coefficient range, combustor structure and combustor air distribution form; solving the optimization model by using a simulated annealing algorithm based on the optimization variables and the constraint conditions to obtain an optimization result; adjusting the blending ratio, combustor structure, combustor air distribution form and blending position in actual operation according to the optimization result.

4. The method of claim 3, wherein the coal-biomass direct co-firing power plant is a coal-biomass direct co-firing power plant with a capacity of 300 MW or more. after solving the optimization model by using a simulated annealing algorithm based on the optimization variables and the constraint conditions to obtain an optimization result, the method further comprises: accessing real-time carbon trading market data to obtain a real-time carbon trading price; calculating the difference between the carbon emission in actual operation and the optimized carbon emission according to the coal-biomass direct mixing coupled carbon emission full life cycle evaluation model to obtain an emission reduction amount; multiplying the real-time carbon trading price by the emission reduction amount to dynamically generate carbon emission reduction income.

5. The method of claim 1, wherein the coal-biomass direct co-firing power plant carbon emissions assessment method further comprises: The method further comprises: scoring the sustainability of the biomass raw material source to obtain a first score; scoring the influence of the collection and use of the biomass raw material on the ecological environment to obtain a second score; According to the degree of utilization of agricultural waste resources of the biomass raw material, a third score is obtained; The first score, the second score and the third score are weighted and summed to obtain a sustainability score of the biomass raw material; According to the sustainability score, the biomass raw material is selected.

6. The method of claim 1, wherein the coal-biomass direct co-firing power plant carbon emissions assessment method further comprises: Also includes: Assessing the carbon capture efficiency of the carbon capture scheme in the coal-biomass direct mixing combined power generation, generating a carbon capture efficiency list; According to the cost and carbon trading income of the carbon capture scheme, the economic efficiency of the carbon capture scheme is evaluated, and a carbon capture economic benefit list is generated; According to the carbon capture scheme, the carbon capture efficiency list and the carbon capture economic benefit list are weighted and summed to generate a carbon capture scheme evaluation list; Select the optimal carbon capture scheme in the carbon capture scheme evaluation list for carbon recycling.

7. A carbon emission evaluation system for coal-biomass direct co-firing combined power generation, characterized by, The system is used to implement the carbon emission evaluation method of the coal-biomass direct mixing combined power generation according to any one of claims 1-6, and the system comprises: A condition determination module is used to determine the type and characteristics of the biomass raw material, and set the blending combustion condition; A carbon emission parameter calculation model establishment module is used to establish a carbon emission parameter calculation model according to the type and characteristics of the biomass raw material and the blending combustion condition; A coal-biomass direct mixing combined carbon emission full life cycle evaluation module is used to establish a coal-biomass direct mixing combined carbon emission full life cycle evaluation model according to the carbon emission parameter calculation model, combined with the carbon emission of the growth, collection, transportation, pretreatment and ash treatment stages of the biomass raw material; A model correction module is used to evaluate the influence of the standing time of the biomass raw material on the combustion carbon emission, obtain a standing time influence factor, and correct the coal-biomass direct mixing combined carbon emission full life cycle evaluation model according to the standing time influence factor; A carbon emission evaluation module is used to perform carbon emission evaluation by using the corrected coal-biomass direct mixing combined carbon emission full life cycle evaluation model.

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