Carbon emission reduction method and system for preparing green fuel from multiple biomasses

Abstract

The invention discloses a carbon emission reduction method and system for preparing green fuel from multiple biomasses. The method comprises the following steps: acquiring characteristic data of a biomass raw material to be processed; the full life cycle carbon emission # imgabs0 # of different biomass raw materials in unit mass and the methanol yield # imgabs1 # prepared from the biomass raw materials in unit mass are obtained respectively, and the methanol preparation carbon consumption output ratio # imgabs2 # = # imgabs3 # / # imgabs4 # of the biomass raw materials is calculated; grading the performance of preparing methanol from different biomass raw materials according to the results; based on the results, the complementarity of the biomass raw materials is analyzed; selecting a target biomass raw material according to the grading result of the biomass raw material; independently using the target biomass raw material as a biomass raw material for preparing methanol according to a grading result of the target biomass raw material; or, according to complementarity of the target biomass raw materials, one or more biomass raw materials complementary to the target biomass raw materials are selected, the mixing ratio of the biomass raw materials is adjusted, and the methanol yield and the carbon emission reduction effect of the biomass raw materials are improved.

Description

Technical Field

[0001] The present application relates to the technical field of carbon emission reduction, and more specifically, to a carbon emission reduction method and system for preparing green fuel from multiple biomass. Background Art

[0002] With the global emphasis on carbon emission reduction, the use of biomass raw materials to produce green methanol has become a hot topic in academia and industry. However, in the process of preparing green methanol from some biomass raw materials, although the carbon emissions are reduced, the methanol output is also relatively low, which is not suitable for large-scale industrial production.

[0003] The current carbon emission reduction strategy for biomass methanol production mainly focuses on process optimization and carbon emission management of the entire life cycle of biomass raw materials, ignoring the natural complementary advantages of various biomass raw materials in terms of chemical composition, calorific value, moisture content, growth cycle and geographical distribution. Therefore, there is room for improvement and enhancement in terms of increasing biomass methanol production, reducing carbon emissions and optimizing raw material configuration. Summary of the invention

[0004] This application systematically evaluates the carbon emissions, methanol production capacity and complementarity of raw material characteristics of different biomass raw materials in the process of preparing methanol, so as to adjust the raw material selection and ratio, optimize the biomass methanol production, and achieve carbon emission reduction. The technical solution is as follows: In a first aspect, the present application provides a method for reducing carbon emissions by preparing green fuels from a variety of biomass, the method comprising: Step 1: Obtain characteristic data of the biomass raw material to be processed; Step 2: Obtain the life cycle carbon emissions of different biomass raw materials per unit mass , and the methanol production per unit mass of biomass raw materials , based on the obtained full life cycle carbon emissions and methanol production , calculate the carbon consumption-output ratio of methanol production from biomass raw materials = / ; Where i is any biomass raw material; carbon emissions in the whole life cycle The carbon emissions of each unit mass of different biomass raw materials in the process of producing methanol, including planting, collection, transportation, and processing into methanol; Step 3: Based on the characteristic data of the biomass raw materials to be processed and the methanol production per unit mass of the biomass raw materials Carbon consumption-to-output ratio of methanol production To grade the performance of methanol production from different biomass raw materials; Step 4: Obtain the carbon emissions of the entire life cycle based on the characteristic data of the biomass raw materials to be processed , methanol production , Carbon consumption-to-output ratio of methanol production from biomass raw materials As well as the results of the classification of biomass raw materials, the complementarity of biomass raw materials is analyzed; Step 5: Select the target biomass raw material according to the classification result of the biomass raw materials in step 3; According to the result of the classification of the target biomass raw material, the target biomass raw material is used alone as a biomass raw material for preparing methanol; Alternatively, based on the complementarity of the target biomass raw material, one or more biomass raw materials that are complementary to the target biomass raw material are selected, and the mixing ratio of the biomass raw materials is adjusted to prepare methanol.

[0005] Furthermore, the biomass raw material classification in step 3 is based on the following scoring model: =α +β ; in, is the grade score of biomass raw materials, α is the methanol yield The weight of β is the carbon consumption output ratio of methanol preparation. The weight of .

[0006] Further, step 3 includes: Step 31: Obtain the grade score of i type of biomass raw material ; Step 32: Right Sort by: > > >...> ; Step 33: Set the grade score of biomass raw materials The value in the first range is a superior biomass raw material, and the grade score of the biomass raw material is The value in the second range is medium biomass raw material, and the grade score of biomass raw material is The values ​​in the third range indicate inferior biomass raw materials.

[0007] Furthermore, the target biomass raw material is a high-quality biomass raw material or a medium-quality biomass raw material.

[0008] Furthermore, the methanol production per unit mass of different biomass raw materials is The value of is used to classify the preparation performance of methanol from different biomass raw materials, and the step 3 further comprises: Step 301: Obtain the methanol yield of i types of biomass raw materials ; Step 302: Sort by: > > >...> ; Step 303: Methanol production If the value of is in the fourth range, the preparation performance of methanol from biomass raw materials is excellent.

[0009] Furthermore, step 5 also includes: Step 501: Calculate the grade scores of the high-quality biomass raw materials The average , methanol production from biomass raw materials with excellent methanol production performance The average value M , wherein n is the amount of biomass raw materials in the first range, and a is the amount of biomass raw materials in the fourth range; Step 502: determine whether the grade score of the target biomass raw material is greater than the average value H. If so, the target biomass raw material does not need to be mixed with other biomass raw materials to prepare methanol; if not, execute step 503; Step 503: Determine whether the grade score of the target biomass raw material is greater than the maximum value of the inferior grade score If so, the main factors leading to the low grade score of the biomass raw material are analyzed according to the raw material database and the grade scoring model, and one or more complementary biomass raw materials are matched from the raw material database to adjust the selection and ratio of different biomass raw materials.

[0010] Furthermore, the characteristic data of the biomass raw material includes: the type of gas produced by gasification of the biomass raw material and the gas output, wherein the gas type is the reaction gas for synthesizing methanol; The complementarity analysis of biomass raw materials includes: the complementarity analysis between the output amounts of reaction gas for synthesizing methanol produced by gasification of biomass raw materials.

[0011] Furthermore, the reaction gas for synthesizing methanol includes at least a first reaction gas and a second reaction gas. If the output of the first reaction gas produced by gasification of the target biomass raw material is greater than the output of the second reaction gas, then the output of the second reaction gas produced by gasification of the matching complementary biomass raw material is greater than the output of the first reaction gas.

[0012] Furthermore, the characteristic data of biomass raw materials further include information on chemical composition, calorific value, moisture content, and ash content of different types of biomass raw materials, and the biomass raw materials with appropriate proportions are selected based on the complementarity of the above data.

[0013] On the other hand, the embodiment of the present application also provides a carbon emission reduction system for preparing green fuels from multiple biomass, which is used to implement the carbon emission reduction method for preparing green fuels from multiple biomass, and the system includes: An acquisition module, for acquiring characteristic data of the biomass raw materials to be processed; Calculation module to obtain the carbon emissions of different biomass raw materials per unit mass throughout their life cycle , and the methanol production per unit mass of biomass raw materials , based on the obtained full life cycle carbon emissions and methanol production , calculate the carbon consumption-output ratio of methanol production from biomass raw materials = / ; Where i is any biomass raw material; carbon emissions in the whole life cycle The carbon emissions of each unit mass of different biomass raw materials in the process of producing methanol, including planting, collection, transportation, and processing into methanol; The classification module is based on the characteristic data of the biomass raw materials to be processed and the methanol production per unit mass of biomass raw materials. Carbon consumption-to-output ratio of methanol production To grade the performance of methanol production from different biomass raw materials; Analysis module, based on the characteristic data of the biomass raw materials to be processed and the obtained carbon emissions of the whole life cycle , methanol production , Carbon consumption-to-output ratio of methanol production from biomass raw materials As well as the results of the classification of biomass raw materials, the complementarity of biomass raw materials is analyzed; A selection module, which selects target biomass raw materials according to the classification results of biomass raw materials; According to the result of the classification of the target biomass raw material, the target biomass raw material is used alone as a biomass raw material for preparing methanol; Alternatively, based on the complementarity of the target biomass raw material, one or more biomass raw materials that are complementary to the target biomass raw material are selected, and the mixing ratio of the biomass raw materials is adjusted to prepare methanol.

[0014] The solution provided in this application has the following beneficial effects: 1. The carbon emission reduction method for preparing green fuels from various biomass materials provided in the present application can clarify the properties of different biomass raw materials and the relationship between the methanol production and carbon emissions per unit mass of biomass raw materials by obtaining the characteristic data of biomass raw materials, the full life cycle carbon emissions of different biomass raw materials per unit mass, the methanol production per unit mass of biomass raw materials, and the calculated carbon consumption-output ratio of methanol preparation from biomass raw materials. Therefore, when selecting mixed raw materials, biomass raw materials can be selected and matched in a targeted manner, and through reasonable matching, the advantages of different biomass raw materials can be fully utilized, thereby reducing carbon emissions while increasing the overall methanol production and optimizing the utilization of biomass raw materials.

[0015] 2. The carbon emission reduction method for preparing green fuels from various biomass materials provided in this application can comprehensively evaluate the different carbon emissions of different biomass materials in different life cycles by collecting the carbon emissions of different biomass raw materials throughout their life cycle, and then select a combination of biomass raw materials with lower carbon emissions throughout their life cycle, thereby effectively reducing the carbon emissions in the entire methanol preparation process; or according to the stage with higher carbon emissions of the target biomass raw materials, select biomass raw materials with lower carbon emissions in the corresponding stage to mix and prepare methanol to reduce carbon emissions.

[0016] 3. The carbon emission reduction method for preparing green fuels from a variety of biomass provided in this application scientifically grades biomass raw materials based on biomass raw material characteristics, methanol production and methanol preparation carbon consumption-output ratio, which can quickly screen out biomass raw materials with excellent performance. At the same time, it can also reasonably utilize biomass raw materials with slightly poorer performance together with biomass raw materials with excellent performance to reduce the adverse effects of their disadvantages on the overall methanol preparation process.

[0017] 4. The carbon emission reduction method for preparing green fuels from a variety of biomass provided in this application, through the complementarity analysis of biomass raw materials, and the selection and ratio adjustment of biomass raw materials based on the grade classification results, can effectively reduce the carbon emissions in the methanol preparation process while giving full play to the advantages of different raw materials and increasing methanol production, thereby achieving the purpose of carbon emission reduction and realizing green production.

[0018] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A flow chart of a carbon emission reduction method for preparing green fuel from multiple biomass provided in one embodiment of the present application. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0022] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0023] See also Figure 1 , Figure 1 A flow chart of a carbon emission reduction method for preparing green fuel from various biomass provided in the embodiments of this application. Figure 1 As shown, the method has the following five steps: Step 1: Obtain the characteristic data of the biomass raw materials to be processed.

[0024] In this step, biomass raw materials refer to materials derived from biological organisms, which are usually renewable, such as crop straw, wood processing residues, energy crops, livestock and poultry manure, and some aquatic plants, etc. These raw materials can be converted into energy, materials or other useful products after proper processing.

[0025] Specifically, the characteristic data of biomass raw materials include information such as chemical composition, calorific value, moisture content, ash content, etc. of different types of biomass raw materials. This step also includes analyzing the characteristic data of the acquired biomass raw materials, specifically referring to the systematic study and evaluation of various physical and chemical properties of biomass raw materials. At least the following types are included: 1. Physical property analysis: Analyze the shape, size, density, moisture content, bulk density, etc. of biomass raw materials. These physical properties will affect the storage, transportation and processing of biomass raw materials.

[0026] 2. Chemical property analysis: including data such as elemental composition, chemical composition, ash content and ash composition of biomass raw materials. The elemental composition and chemical composition determine the energy content and chemical reactivity of biomass raw materials, while the ash content and ash composition determine the combustion performance of biomass raw materials.

[0027] 3. Biological property analysis: including data such as biodegradability, microbial composition and activity of biomass raw materials. Some biomass raw materials will be processed through biotransformation pathways, and it is crucial to understand their biological properties.

[0028] There are many ways to obtain the characteristic data of biomass raw materials. The following are some common methods for obtaining the characteristic data of biomass raw materials: 1. Experimental analysis Experimental analysis is the most direct and reliable method to obtain the characteristic data of biomass raw materials. By analyzing biomass samples with laboratory equipment, detailed characteristic data of biomass raw materials can be obtained.

[0029] Specifically, physical property testing can measure the shape, size, density, moisture content, bulk density, etc. of biomass raw materials through special instruments and equipment; chemical property testing can use chemical analysis methods to determine the elemental composition, chemical composition, ash content and composition of biomass raw materials. The elemental composition can be determined by an elemental analyzer, and the chemical composition can be determined by chemical extraction and quantitative analysis. The ash content can be calculated based on the mass of the remaining residue after burning the biomass raw materials at high temperature to constant weight. The ash composition can be analyzed with the help of equipment such as X-ray fluorescence spectrometers.

[0030] 2. Field research and sampling For some biomass raw materials from specific regions or planting sites, field investigations and sampling are carried out to obtain their characteristic data. The planting environment of biomass raw materials, such as soil type, climate conditions, fertilization and irrigation conditions, as well as information such as the growth cycle and harvesting method of biomass raw materials, are obtained. These factors will affect the characteristics of biomass raw materials. For example, the chemical composition and physical properties of corn stalks grown in different regions may be different due to differences in soil fertility and climate. Through field sampling, representative samples can be obtained for subsequent testing and analysis, so as to more accurately understand the characteristics of the raw materials.

[0031] 3. Monitoring during production In the actual production process, biomass raw materials are monitored in real time. For example, in the process of preparing methanol by biomass gasification, online monitoring equipment is installed to measure the temperature, pressure, flow rate and other parameters of the raw materials entering the reactor in real time, as well as the composition changes of the biomass raw materials. It is also possible to detect and analyze the intermediate products and final products in the production process to indirectly understand the impact of the characteristics of biomass raw materials on the production process. Through the monitoring data in the production process, the production process can be adjusted in time to optimize the use of raw materials, and at the same time, empirical data on the relationship between the characteristics of biomass raw materials and production performance can be accumulated.

[0032] In this step, by obtaining the characteristic data of biomass raw materials and performing characteristic analysis on them, the properties of different biomass raw materials can be clarified, providing a basis for the subsequent selection of processing techniques for different biomass materials, avoiding problems such as low production efficiency and unstable quality caused by improper process selection, and improving the feasibility and reliability of the processing process; biomass raw materials can also be selected in a targeted manner in subsequent steps, and they can be reasonably proportioned to give full play to the advantages of different biomass raw materials.

[0033] Step 2: Obtain the life cycle carbon emissions of different biomass raw materials per unit mass , and the methanol production per unit mass of biomass raw materials , based on the obtained full life cycle carbon emissions and methanol production , calculate the carbon consumption-output ratio of methanol production from biomass raw materials = / ; Where i is any biomass raw material; Carbon emissions throughout the life cycle The carbon emissions during the entire life cycle of planting, collecting, transporting and processing biomass raw materials into methanol are calculated from unit mass of biomass raw materials.

[0034] Specifically, unit mass refers to common mass units such as 1 ton, and the full life cycle carbon emissions cover the greenhouse gas emissions generated in the entire process from the planting of biomass raw materials to the final processing into methanol. Specifically include: 1. Planting stage: including carbon emissions generated during land preparation, seed sowing, fertilization, irrigation, pest and disease control, and the use of agricultural machinery during the planting process.

[0035] 2. Collection stage: includes the harvesting, baling, storage and other links of biomass raw materials, as well as the carbon emissions generated by the operation of agricultural machinery during the collection process and the manpower and material input during the collection process.

[0036] 3. Transportation stage: The collected biomass raw materials are transported to the processing site. The fuel consumption of the transportation vehicles during the transportation process will generate carbon emissions.

[0037] 4. Processing stage: including carbon emissions generated by the pretreatment, gasification, gas purification, methanol synthesis, equipment use and energy consumption of biomass raw materials.

[0038] Carbon emissions of different biomass raw materials collected throughout their life cycle And the methanol production that can be produced , calculate the carbon consumption-output ratio of methanol production from biomass raw materials , it can be seen that The larger the value, the more methanol production the biomass raw material can obtain during the methanol production process, that is, the higher the efficiency of the biomass raw material in methanol production, and the more suitable it is for large-scale methanol production; The higher it is, the more methanol can be obtained from the biomass raw material with lower carbon emissions, which has higher environmental benefits.

[0039] In this step, by collecting the life cycle carbon emissions and methanol production per unit mass of different biomass raw materials and calculating the carbon consumption-output ratio of methanol preparation, it is possible to conduct a comprehensive and integrated evaluation of the performance of methanol preparation from different biomass raw materials from two key dimensions: energy output and environmental impact. This helps to screen out high-quality biomass raw materials that are both high-yield and environmentally friendly, and provide a scientific basis for the selection of raw materials for methanol production. Through a detailed analysis of the carbon emissions at each stage of the life cycle, it is helpful to discover the links with higher carbon emissions in the entire preparation process, which can continuously optimize the production process and technology of methanol preparation and improve overall production efficiency and sustainability.

[0040] Step 3: Based on the characteristic data of the biomass raw materials to be processed and the methanol production per unit mass of the biomass raw materials Carbon consumption-to-output ratio of methanol production The performance of methanol production from different biomass raw materials is graded.

[0041] In this step, the biomass raw material classification is based on the following scoring model: =α +β ;in, is the grade score of biomass raw materials, α is the methanol yield The weight of β is the carbon consumption output ratio of methanol preparation. The weights reflect the relative importance of methanol production and methanol production carbon consumption output ratio in the grade score. Their specific values ​​can be set according to actual production needs and the emphasis on methanol production and methanol production carbon consumption output ratio. For example, if more emphasis is placed on methanol production, the value of α can be appropriately increased; if more emphasis is placed on energy efficiency and environmental protection, the value of β can be increased.

[0042] By building a mathematical model =α +β To quantify the grade of biomass feedstock, for each biomass feedstock, combine its methanol yield Carbon consumption-to-output ratio of methanol production And weights, can calculate the corresponding grade score , and then classify different biomass raw materials according to the grade score values, which can provide quantitative standards for the subsequent selection and mixed use of biomass raw materials.

[0043] Further, step 3 includes: Step 31: Obtain the grade score of i type of biomass raw material ; Step 32: Sort by: > > >...> >...> >...> .

[0044] Get the grade score of each type of biomass raw material After that, these scores need to be sorted in descending order, that is, in this i-type biomass raw material, the corresponding grade score is Biomass raw materials have the best performance in preparing methanol. Next, and so on, until It has the lowest grade among all biomass raw materials, and the corresponding biomass raw material has the worst performance in preparing methanol. Through this ranking, we can clearly see the order of advantages and disadvantages of different biomass raw materials in preparing methanol.

[0045] Step 33: Set the grade score of biomass raw materials The value in the first range is a superior biomass raw material, and the grade score of the biomass raw material is The value in the second range is medium biomass raw material, and the grade score of biomass raw material is The values ​​in the third range indicate inferior biomass raw materials.

[0046] Specifically, the first range is [ , ], the second range is [ , ], the third range is [ , ], where n=0.3i, q=0.8i, and n<q. That is, the superior biomass raw materials are graded The value is in the grade rating The top 30% of medium biomass raw materials are graded The value is in the grade rating The middle 50% of inferior biomass raw materials are graded The value of the grade is The last 20%.

[0047] Specifically, high-quality biomass raw materials include the following: 1. Methanol production High, and methanol production carbon consumption output ratio High, indicating that the methanol production per unit mass of biomass raw materials is high and the carbon emissions are low; methanol production High, which means that under unit mass, biomass raw materials can produce relatively more methanol; the carbon consumption output ratio of methanol production is If it is high, it means that in the process of preparing methanol, for every unit of carbon emission, the biomass raw material can obtain more methanol production, that is, the carbon emission when preparing methanol from a unit mass of biomass raw material is lower.

[0048] 2. Methanol production Medium, but the carbon consumption output ratio of methanol production is High; although the methanol yield of this biomass raw material It is at a medium level, that is, the amount of methanol produced per unit mass is not particularly outstanding, but its carbon consumption-to-output ratio of methanol production is high, indicating its excellent performance in carbon emission control, even if the methanol production Medium, but due to its low carbon emissions, this biomass raw material still has high value from the perspective of energy efficiency and environmental protection.

[0049] 3. Methanol production High, but the carbon consumption output ratio of methanol production is Medium; methanol yield from this biomass feedstock High, can ensure a higher methanol output per unit mass, meet the production requirements in methanol preparation, and its carbon consumption output ratio of methanol preparation is It is only at a medium level, that is, the carbon emissions are not optimal, but due to the obvious output advantage, it still has a relatively high value when considering the overall benefits of methanol production.

[0050] Medium biomass raw materials include the following: 1. Methanol production Carbon consumption-to-output ratio of methanol production At a medium level; the performance indicators of this type of biomass raw materials are relatively balanced, neither the output is particularly high nor the carbon emissions are particularly low, and all aspects are in the middle range. In actual production, they can be used as a stable source of raw materials. Although they have no outstanding advantages, they also have no obvious disadvantages. When the supply of high-quality biomass raw materials is insufficient or the cost is too high, medium-level raw materials can be used as an alternative to maintain the stability of methanol production.

[0051] 2. Methanol production Low, but the carbon consumption output ratio of methanol production High, indicating that the carbon emissions of biomass raw materials are low; the methanol production of this biomass raw material The methanol produced per unit mass of biomass raw materials is relatively low, which means that the amount of methanol produced per unit mass of biomass raw materials is relatively low, and there is a shortage in terms of output. However, its carbon consumption output ratio for methanol production is High, indicating that it performs well in carbon emissions and has low carbon emissions. In some cases where environmental protection requirements are high or insufficient production can be compensated by other means, this type of biomass raw material still has certain use value. For example, in some production processes, the utilization rate of raw materials can be improved by optimizing the process, or mixed with other high-yield raw materials to compensate for its low yield, so it is classified as medium biomass raw material.

[0052] 3. Methanol production High, but the carbon consumption output ratio of methanol production is Low, indicating that the methanol yield of biomass raw materials is high but the carbon emissions are high; this type of biomass raw materials has a high methanol yield and can produce more methanol per unit mass, meeting the basic demand for production output. However, its methanol production carbon consumption output ratio Low, which means that the carbon emissions generated in the process of preparing methanol are relatively high. With increasingly stringent environmental protection requirements, higher carbon emissions may increase production costs and may require additional carbon treatment measures. However, due to its output advantage, it still has a certain application space in some production scenarios with relatively loose requirements on cost and environmental protection, or more emphasis on output, so it is classified as a medium biomass raw material.

[0053] Inferior biomass raw materials include: Methanol production Low carbon consumption and output ratio of methanol production Low; it means that under unit mass conditions, compared with other biomass raw materials, this biomass raw material can generate less methanol and has higher carbon emissions; from the perspective of energy utilization, this type of biomass raw material can neither be efficiently converted into methanol nor cause a greater burden on the environment during the production process, which does not conform to the efficient and environmentally friendly production concept. In actual methanol production, the use of this type of biomass raw material may lead to increased production costs, because in order to achieve a certain methanol output, more biomass raw materials need to be invested, and additional costs may be required to deal with higher carbon emissions. Therefore, based on the above disadvantages, this type of biomass raw material is classified as inferior biomass raw material, and its use is usually minimized when selecting raw materials, or it is considered for use only after its performance has been improved and optimized.

[0054] Furthermore, the target biomass raw material is a superior biomass raw material or a medium biomass raw material. The target biomass raw material refers to a biomass raw material that has a higher performance and is suitable for production in the process of preparing methanol. According to the results of the grade classification, the target biomass raw material is limited to a superior biomass raw material or a medium biomass raw material. The superior biomass raw material has a high methanol yield and lower carbon emissions, which can significantly improve the economic and environmental benefits of methanol production. Although the medium biomass raw material is not as good as the superior biomass raw material in performance, it also has certain advantages. For example, it has strong adaptability. In some cases, the medium biomass raw material may be more suitable for specific production processes or regional conditions, and may also have certain advantages in cost, which can reduce production costs while ensuring the methanol production output.

[0055] In practical applications, the following factors need to be considered when selecting target biomass raw materials: 1. Production requirements: Select appropriate biomass raw materials according to the specific requirements of methanol production, such as production targets, carbon emission limits, etc. If the methanol production requirements are high, you can choose high-quality biomass raw materials; if there are strict restrictions on carbon emissions, you can also choose high-quality biomass raw materials.

[0056] 2. Cost factors: Consider the acquisition cost and processing cost of biomass raw materials. Medium-grade biomass raw materials may have certain cost advantages, especially when the resources are abundant and the price is low.

[0057] 3. Sustainability: Select sustainable biomass raw materials to ensure the long-term stability and environmental friendliness of the production process. Superior and medium-quality biomass raw materials usually have better sustainability and are in line with the development direction of the biomass energy industry.

[0058] 4. Technical adaptability: Consider the adaptability of biomass raw materials to existing production processes. Some biomass raw materials may be more suitable for specific processing technologies, and they need to be selected based on actual conditions.

[0059] The target biomass raw materials are high-quality biomass raw materials or medium-quality biomass raw materials. This selection criterion is based on two key indicators: the methanol yield of biomass raw materials and the carbon consumption output ratio of methanol production. High-quality biomass raw materials have excellent performance in methanol yield and low carbon performance, and are ideal raw material choices; although medium-quality biomass raw materials have average performance, they also have certain advantages in certain cases. By selecting high-quality or medium-quality biomass raw materials, the economic and environmental benefits of methanol production can be optimized and sustainable development goals can be achieved.

[0060] Furthermore, the methanol production per unit mass of different biomass raw materials is The preparation performance of methanol prepared from different biomass raw materials is divided into the values ​​of, and step 3 also includes: Step 301: Obtain the methanol yield of i types of biomass raw materials For each biomass raw material, the methanol output per unit mass of the raw material is obtained through experimental measurement, production records or other reliable methods, and recorded as Here Represents the methanol production of the i-th biomass raw material. Each biomass raw material corresponds to a specific Value, which reflects the output capacity of the raw material in methanol production.

[0061] Step 302: Sort by: > > >...> >...> ; where a=0.3i; the methanol yield of each i-type biomass raw material was obtained After that, these production values ​​need to be sorted. The sorting method is to arrange them in order from large to small, that is, the corresponding methanol production is Biomass raw materials have the strongest ability to produce methanol per unit mass; Next, and so on, until It has the lowest methanol production among all biomass raw materials and has the weakest ability to produce methanol. Through this method of sorting and determining key positions, the differences and order of methanol production of different raw materials can be clearly seen.

[0062] Step 303: Methanol production If the value of is in the fourth range, the preparation performance of methanol from biomass raw materials is excellent; specifically, the fourth range is [ , ]. When the methanol yield of a biomass raw material When it is within this range, it is considered that the biomass raw material has a stronger methanol production capacity than most other biomass raw materials. In actual production, these superior raw materials may be given priority to improve the production efficiency and output of methanol.

[0063] In this step, by classifying different biomass raw materials, the performance advantages and disadvantages of different biomass raw materials can be clarified, guidance can be provided for the mixed processing of biomass raw materials, and a basis can be provided for the subsequent mixed use of different biomass raw materials. It can not only give full play to the advantages of high-quality biomass raw materials, but also reasonably utilize inferior biomass raw materials, while ensuring methanol production, reducing costs and carbon emissions, and realizing the optimal utilization of biomass raw materials; an objective scoring model is used to quantitatively score biomass raw materials, so that the performance of different raw materials can be compared and ranked through specific numerical values. This quantitative evaluation method is more scientific and objective, avoiding the ambiguity and uncertainty of subjective judgment, and helping to accurately evaluate the performance of different biomass raw materials in methanol preparation.

[0064] Step 4: Obtain the carbon emissions of the entire life cycle based on the characteristic data of the biomass raw materials to be processed , methanol production , Carbon consumption-to-output ratio of methanol production from biomass raw materials As well as the results of the classification of biomass raw materials, the complementarity of biomass raw materials is analyzed.

[0065] In this step, the complementarity analysis of biomass raw materials includes the complementarity analysis of data such as the gas output of different raw materials and the chemical composition, calorific value, moisture content, ash content information of different types of biomass raw materials. Complementarity analysis refers to combining the characteristics of different biomass raw materials, giving full play to their respective advantages, and making up for each other's shortcomings, so as to improve the overall methanol production efficiency and reduce carbon emissions. Specifically, complementarity analysis includes at least the following types: 1. Complementarity between calorific value and ash fusibility: Some biomass raw materials have high calorific value but poor ash fusibility and are prone to slagging; while other biomass raw materials have low calorific value but good ash fusibility and are not prone to slagging. By mixing these biomass raw materials, the combustion efficiency can be improved, the slagging phenomenon can be reduced, and the methanol synthesis efficiency can be improved. For example, corn straw and rice husk powder can be mixed and used. The high softening temperature of rice husk powder can reduce the coking phenomenon during the combustion of corn straw.

[0066] 2. Chemical composition complementarity: Different biomass raw materials have different chemical compositions. By mixing them, the chemical composition can be optimized and the methanol production can be increased. For example, mixing biomass raw materials with high cellulose content and biomass raw materials with high lignin content can improve the quality of combustible gas during the gasification process of biomass raw materials, thereby increasing methanol production.

[0067] 3. Carbon emission complementarity: Different biomass raw materials have different carbon emissions throughout their life cycle. By mixing biomass raw materials with low carbon emissions and biomass raw materials with high carbon emissions, the overall carbon emissions can be reduced.

[0068] Step 5: According to the grading results of the biomass raw materials in step 3, select the target biomass raw material; according to the grading results of the target biomass raw material, use it alone as the biomass raw material for preparing methanol; or, according to the complementarity of the target biomass raw material, select one or more biomass raw materials that are complementary to the target biomass raw material, and adjust the mixing ratio of the biomass raw materials to prepare methanol.

[0069] Furthermore, step 5 also includes: Step 501: Calculate the average value of the grade score Z of the superior biomass raw materials respectively , the average value M of methanol production X of biomass raw materials with excellent methanol production performance , wherein n is the amount of biomass raw materials in the first range, and a is the amount of biomass raw materials in the fourth range.

[0070] Specifically, all biomass raw materials are first scored according to grade The values ​​are sorted from large to small to calculate the grade score of the top-quality biomass raw materials. The average value H, , H represents the average level of the grade score of the top biomass raw materials. Similarly, M , M represents the average preparation capacity of superior biomass raw materials in terms of methanol production; N , where the carbon consumption-to-output ratio of methanol production from biomass raw materials is sorted from large to small, is the carbon consumption-output ratio of methanol preparation of the top 30% biomass raw materials, t is the number of biomass raw materials in the top 30% carbon consumption-output ratio of methanol preparation, and N represents the value of the carbon consumption-output ratio of methanol preparation, which is the average level of the top 30% biomass raw materials in terms of carbon consumption-output ratio of methanol preparation.

[0071] Step 502: Determine whether the grade score of the target biomass raw material is greater than the average value H. If so, the target biomass raw material does not need to be mixed with other biomass raw materials to prepare methanol; if not, execute step 503; for a specific target biomass raw material A, first determine its grade score Is it greater than the average value H? H, it means that the grade of biomass raw material A is higher than the average value of top-grade biomass raw materials, and its performance is good. It can be used independently and does not need to be mixed with other biomass raw materials to prepare methanol. H, it means that its performance has not reached the average level of high-quality biomass raw materials, and further analysis is needed to determine whether it can be used independently.

[0072] Step 503: Determine whether the grade score of the target biomass raw material is greater than the maximum value of the inferior grade score If so, that is, the target biomass raw material is a superior biomass raw material or a medium biomass raw material, then according to the biomass raw material database and the grade scoring model, the main factors causing the biomass raw material grade score to be not high enough are analyzed, and one or more complementary biomass raw materials are matched from the biomass raw material database to adjust the selection and ratio of different biomass raw materials.

[0073] Specifically, the grade score of the target biomass raw material A is determined Is it higher than the maximum value of the inferior rating level? ,like , it means that although the performance of the biomass raw material has not reached the average level of high-quality biomass raw materials, it is still better than inferior biomass raw materials. It is necessary to further analyze the main factors that lead to its insufficient performance, and match one or more complementary biomass raw materials from the raw material database based on the analysis results and mix them for use. , it means that its performance is poor and it is not suitable for methanol production, and other better quality biomass raw materials need to be considered.

[0074] Specifically, if the grade score of biomass raw material A is The maximum value above the inferior rating level , but less than the average value H, it is necessary to analyze from the following two main factors: 1. Methanol production , evaluate the methanol yield of target biomass feedstock A Is it lower than the average value M? It is lower, indicating that it performs poorly in terms of methanol production, which may be due to the fact that the chemical composition of biomass feedstock is not suitable for efficient gasification or synthesis of methanol.

[0075] 2. Carbon consumption-to-output ratio of methanol production , evaluate the methanol production efficiency of biomass feedstock A Is it lower than the average value N? If A lower value indicates that its carbon emissions over its entire life cycle are higher, which may be due to high energy consumption or high carbon emissions during planting, collection, transportation or processing.

[0076] Further, according to the above analysis results, a biomass raw material that can complement biomass raw material A is searched from the biomass raw material database. If the methanol production efficiency of biomass raw material A is low, other biomass raw materials with high methanol production can be selected and mixed with it to increase the overall methanol production. Lower, you can choose to mix biomass raw materials with lower carbon emissions with it, thereby reducing the overall carbon emissions over the entire life cycle.

[0077] Specifically, the method of selecting the target biomass raw material and the biomass raw material complementary thereto comprises at least the following steps: 1. Data analysis: Through big data analysis and machine learning algorithms, the data of the biomass raw material database is mined and analyzed to identify the carbon emission characteristics of different biomass raw materials at different stages and the complementarity of different carbon emission characteristics.

[0078] The complementarity of different carbon emission characteristics refers to whether different biomass raw materials can complement each other in different production stages during the preparation of methanol to reduce overall carbon emissions. For example, the complementarity between wood and crop straw: wood has a high carbon content and high calorific value, but a long growth cycle; crop straw has a high water content, but a short growth cycle and a wide range of sources; by mixing these raw materials, their complementarity can be fully utilized to improve raw material utilization.

[0079] 2. Clarify production needs and target setting: Clearly define the specific needs of methanol production, including expected methanol output, product quality standards, production cost budget, and environmental protection requirements. Different production needs will lead to different biomass raw material selections. For example, if you pursue high-purity methanol and have sufficient budget, you may tend to choose biomass raw materials with low impurity content; if reducing costs is the main goal, you will pay more attention to the price and availability of raw materials.

[0080] Setting clear goals will help with targeted screening and evaluation in the subsequent selection process, providing direction for selecting suitable biomass raw materials.

[0081] 3. Biomass raw material selection: Based on data analysis results and production needs, determine the selection and ratio of necessary mixed biomass raw materials and complementary biomass.

[0082] Based on the complementarity between AI-based biomass raw material intelligent screening system and biomass raw materials, through big data analysis and machine learning algorithms, the chemical composition, carbon content, water content, carbon emissions and other key indicators of various biomass raw materials are analyzed and comprehensively evaluated to automatically select the optimal combination.

[0083] By comprehensively and accurately identifying the carbon emission characteristics of different biomass raw materials and their complementarity, the optimal selection and proportion of biomass raw materials can be achieved, reducing overall carbon emissions. At the same time, this method also has strong flexibility and dynamic adjustment capabilities, and can adapt to changes in different production stages and different market demands.

[0084] In this embodiment, by classifying the biomass raw materials into grades, the target biomass raw materials can be accurately selected from a large number of raw materials based on clear standards. Raw materials with high grade scores can be used alone to prepare methanol, which reduces the complexity and uncertainty caused by raw material mixing, improves the stability and efficiency of the production process, and helps to achieve efficient methanol production; selecting other raw materials and adjusting the mixing ratio according to the complementarity of the target biomass raw materials can give full play to the advantages of different raw materials and achieve optimal allocation of resources. In this way, some raw materials with lower costs but specific advantages can be used to make up for the shortcomings of the target raw materials, thereby reducing production costs while ensuring methanol production and quality; by calculating the average grade score of the top biomass raw materials, the average methanol production of the superior biomass raw materials, and the average carbon consumption output ratio of the raw materials ranked in the top 30% for methanol preparation The data-based decision-making method avoids the blindness of subjective judgment and improves the scientificity and accuracy of decision-making. By analyzing the two key factors of methanol yield and carbon consumption-output ratio of methanol preparation, the reasons for its insufficient performance can be accurately found out. Based on this, complementary raw materials can be matched from the raw material database to improve the overall performance of the raw materials in a targeted manner. For example, for raw materials with low methanol yield, high-yield raw materials can be selected to mix with them, which can effectively increase the overall methanol yield. For raw materials with low carbon consumption-output ratio, they can be matched with raw materials with low carbon emissions to reduce carbon emissions throughout the life cycle, thereby improving the performance and environmental benefits of the entire methanol preparation process.

[0085] Furthermore, the characteristic data of biomass raw materials include: the type of gas and the gas output produced by gasification of biomass raw materials, wherein the gas type is the reaction gas for synthesizing methanol; the complementarity analysis of biomass raw materials includes: the complementarity analysis between the output of the reaction gas for synthesizing methanol produced by gasification of biomass raw materials.

[0086] Furthermore, the reaction gas for synthesizing methanol includes at least a first reaction gas and a second reaction gas. If the output of the first reaction gas produced by gasification of the target biomass raw material is greater than the output of the second reaction gas, then the output of the second reaction gas produced by gasification of the matching complementary biomass raw material is greater than the output of the first reaction gas.

[0087] The preparation of methanol usually requires specific raw gas to participate in chemical reactions. A common method for preparing methanol is to use synthesis gas as raw material. The main components of synthesis gas are carbon monoxide and hydrogen, which react to produce methanol under certain temperature, pressure and catalyst conditions. If a certain biomass raw material can produce a large amount of hydrogen after a specific conversion process, such as pyrolysis, gasification, etc., and relatively less carbon monoxide is produced, then this biomass raw material has an advantage in the production of hydrogen. In the process of preparing methanol, it can provide a sufficient source of hydrogen for the preparation reaction. Corresponding to the above-mentioned biomass raw material that can produce a large amount of hydrogen, there is another biomass raw material that can produce a large amount of carbon monoxide after similar processing. Then this biomass raw material has an advantage in the production of carbon monoxide. In the process of preparing methanol, it can provide a sufficient source of carbon monoxide for the preparation reaction.

[0088] In the methanol production process, when a certain type of biomass raw material is used alone, due to its own characteristics, it may generate higher carbon emissions during the production process. For example, if only biomass raw materials that can produce a large amount of hydrogen are used, in order to obtain enough carbon monoxide to meet the ratio requirements of the methanol production reaction, some additional, high-carbon emission processes may be needed to supplement carbon monoxide. When these two complementary biomass raw materials are mixed, the raw gas produced by each of them can complement each other, so that while meeting the raw gas ratio required for methanol production, it reduces the dependence on additional processes or raw materials with high carbon emissions. Based on this operation, from the perspective of the entire life cycle of the entire methanol production process, after the two biomass raw materials are mixed, the appropriate ratio of carbon monoxide and hydrogen can be directly produced in the gasification stage, avoiding the subsequent high-energy consumption and high-carbon emission operations for adjusting the gas ratio, thereby reducing carbon emissions and achieving a more environmentally friendly and sustainable production process.

[0089] In this embodiment, by adjusting the ratio of different biomass raw materials, the ratio of hydrogen to carbon monoxide in the synthesis gas can be optimized, thereby improving the methanol synthesis efficiency; selecting lower-priced biomass raw materials (such as agricultural and forestry waste) for mixed use can reduce production costs while ensuring methanol production; by optimizing the raw material ratio and reducing the use of high-carbon emission raw materials, the carbon emissions of methanol production over its entire life cycle can be significantly reduced.

[0090] Furthermore, the characteristic data of biomass raw materials also include information on chemical composition, calorific value, moisture content, and ash content of different types of biomass raw materials. The biomass raw materials with appropriate proportions are selected based on the complementarity of the above data.

[0091] 1. Chemical composition: The chemical composition of biomass raw materials is complex and diverse, mainly including cellulose, hemicellulose, lignin, protein, fat and various minerals. The proportion and content of these chemical components will vary depending on factors such as the type, source and growth environment of the raw materials. For example, wood biomass raw materials usually contain higher cellulose and lignin, while the content of hemicellulose in crop straw is relatively high. Understanding the chemical composition is crucial to judging the reactivity, conversion pathway and possible by-products of biomass raw materials in the methanol production process. Different chemical components will have different performances in methanol production processes such as gasification and fermentation, thus affecting the final methanol production and quality.

[0092] 2. Calorific value: Calorific value refers to the heat released when a unit mass of biomass raw materials is completely burned, which reflects the energy content of the raw materials. The calorific values ​​of different types of biomass raw materials vary greatly. Generally speaking, raw materials with higher carbon content and lower moisture content have relatively higher calorific values. For example, dry wood has a higher calorific value, while aquatic plants with higher water content have relatively lower calorific values. In the methanol preparation process, raw materials with high calorific value can provide more energy, help maintain the temperature required for the reaction, reduce the consumption of external energy, and may also affect the utilization efficiency and cost of the raw materials.

[0093] 3. Moisture content: Moisture content refers to the mass fraction of water contained in biomass raw materials. Moisture content has a significant impact on the storage, transportation and processing of biomass raw materials. Raw materials with high moisture content are prone to mold and deterioration during storage, which reduces the quality of the raw materials and increases transportation costs during transportation. In the methanol preparation process, excessive moisture content will increase the difficulty and energy consumption of pretreatment. For example, drying treatment is required to reduce the moisture content, thereby increasing production costs. Therefore, understanding the moisture content of biomass raw materials is of great significance for the reasonable arrangement of storage, transportation and processing links and the optimization of methanol preparation processes.

[0094] 4. Ash content: Ash refers to the inorganic matter remaining after high-temperature burning of biomass raw materials, and its content reflects the mineral content in the raw materials. Different types of biomass raw materials have different ash contents. For example, some agricultural wastes have relatively high ash contents, while some wood raw materials have low ash contents. Ash may cause wear and tear on equipment during the methanol preparation process, affect the reaction, and may also cause catalyst poisoning, reducing the activity and service life of the catalyst. Therefore, ash content is also one of the important indicators for evaluating the quality and applicability of biomass raw materials.

[0095] Since different biomass raw materials differ in chemical composition, calorific value, water content and ash content, these differences can form a complementary relationship. For example, one biomass raw material may have a higher calorific value but also a higher water content, while another raw material has a lower calorific value but a lower water content. Mixing these two raw materials can reduce the overall water content and energy consumption of drying while ensuring a certain energy supply. For another example, the content of a certain component in the chemical composition of one raw material is low, while the content of this component in another raw material is high. After mixing, the chemical composition of the raw materials can be made more conducive to the methanol preparation reaction. By analyzing these characteristic data and finding out the complementary relationship between different raw materials, a raw material combination that is more suitable for methanol preparation can be selected.

[0096] After determining the complementary biomass raw materials, it is necessary to further determine their appropriate ratio. The appropriate ratio can make the mixed raw materials reach the optimal state in terms of chemical composition, calorific value, water content and ash content, thereby improving the efficiency and quality of methanol preparation. For example, by adjusting the ratio of different raw materials, the calorific value of the mixed raw materials can meet the energy requirements of the methanol preparation process, while the water content and ash content can be controlled within a reasonable range, reducing the adverse effects on equipment and reactions. Determining the appropriate ratio requires comprehensive consideration of multiple factors and continuous optimization through experiments and data analysis to achieve maximum utilization of biomass raw materials and optimal production of methanol preparation.

[0097] In summary, by combining the various characteristic data of biomass raw materials for selection and proportioning, we can rationally utilize the characteristics of different biomass raw materials, improve the efficiency of the methanol preparation process, reduce costs and reduce the impact on equipment and the environment.

[0098] On the other hand, the embodiment of the present application provides a carbon emission reduction system for preparing green fuels from multiple biomass, which is used to implement the carbon emission reduction method for preparing green fuels from multiple biomass, and the system includes: The acquisition module obtains the characteristic data of the biomass raw materials to be processed. The chemical composition, calorific value, moisture content, ash content of the biomass raw materials and the output data of the raw gas for preparing methanol are collected, and the collected data are systematically studied and evaluated to provide basic support for the subsequent methanol preparation efficiency analysis, the mixed use of biomass raw materials and the carbon emission assessment.

[0099] Calculation module to obtain the carbon emissions of different biomass raw materials per unit mass throughout their life cycle , and the methanol production per unit mass of biomass raw materials , based on the obtained full life cycle carbon emissions and methanol production , calculate the carbon consumption-output ratio of methanol production from biomass raw materials = / ; Where i is any biomass raw material; Carbon emissions throughout the life cycle The carbon emissions of each unit mass of different biomass raw materials during the whole life cycle of planting, collecting, transporting and processing into methanol are comprehensively evaluated in the process of producing methanol from biomass raw materials, providing a scientific basis for the selection and optimization of biomass raw materials. It can directly reflect the conversion efficiency of biomass raw materials, which is affected by factors such as the chemical composition of biomass raw materials, gasification process, and reaction conditions for synthesizing methanol. By analyzing the carbon consumption ratio of methanol preparation from biomass raw materials, the performance of different biomass raw materials can be evaluated, and biomass raw materials with high methanol yield and low carbon emissions can be screened out. It can also provide a scientific basis for the subsequent selection and mixed use strategy of biomass raw materials, and achieve a balance between resource utilization and environmental protection.

[0100] The classification module is based on the characteristic data of the biomass raw materials to be processed and the methanol production per unit mass of biomass raw materials. Carbon consumption-to-output ratio of methanol production The performance of different biomass raw materials in producing methanol is graded; further, the biomass raw material grading is based on the following scoring model: =α +β ;in, is the grade score of biomass raw materials, α is the methanol yield The weight of β is the carbon consumption output ratio of methanol preparation. According to the characteristics of biomass raw materials, the methanol output per unit mass of biomass raw materials and the methanol production efficiency of biomass raw materials, the performance of methanol production from different biomass raw materials is comprehensively evaluated and divided into different levels. This module aims to provide a scientific basis for the subsequent mixed use of biomass raw materials, optimize resource utilization efficiency, reduce carbon emissions in the process of preparing methanol from biomass raw materials, and improve the overall benefits of methanol production.

[0101] Analysis module, based on the characteristic data of the biomass raw materials to be processed and the obtained carbon emissions of the whole life cycle , methanol production , Carbon consumption-to-output ratio of methanol production from biomass raw materials As well as the results of the classification of biomass raw materials, the complementarity of biomass raw materials is analyzed. The purpose is to evaluate the complementarity between different biomass raw materials based on the characteristic data of the biomass raw materials to be processed, the obtained full life cycle carbon emissions, methanol production, carbon consumption output ratio of methanol preparation of biomass raw materials, and the results of the classification of biomass raw materials. Through analysis, it is determined which biomass raw materials can be mixed and used to optimize the performance of the methanol preparation process, improve resource utilization efficiency, reduce carbon emissions, and improve overall benefits.

[0102] Specifically, complementarity analysis includes at least the following types: 1. Chemical composition complementarity: 1.1 Balance between cellulose and lignin: Biomass raw materials with high cellulose content, such as corn straw, will produce more synthesis gas during the gasification process and are suitable for methanol synthesis; biomass raw materials with high lignin content, such as sawdust, have high calorific value but low gasification efficiency. By mixing them, the high reactivity of cellulose and the high calorific value of lignin can be utilized to optimize the quality of synthesis gas and methanol production.

[0103] 1.2 Balance of hydrogen and carbon monoxide: Some biomass raw materials may produce more carbon monoxide but less hydrogen during gasification, while other biomass raw materials may produce more hydrogen but less carbon monoxide. By mixing them, the ratio of hydrogen to carbon monoxide in the synthesis gas can be adjusted to make it closer to the ideal ratio for methanol synthesis.

[0104] 2. Carbon emission complementarity: High carbon emission biomass raw materials can be mixed with low carbon emission biomass raw materials to reduce overall carbon emissions.

[0105] The selection module selects the target biomass raw material according to the grade classification result of the biomass raw material.

[0106] According to the results of the grading of the target biomass raw materials, use them alone as biomass raw materials for preparing methanol; or, according to the complementarity of the target biomass raw materials, select one or more biomass raw materials that complement the target biomass raw materials, and adjust the mixing ratio of the biomass raw materials to prepare methanol. According to the grading and complementarity analysis results of the biomass raw materials, select appropriate biomass raw materials for mixing and optimize their mixing ratio. By adjusting the selection and ratio of biomass raw materials, the methanol production and carbon emission reduction effect of biomass raw materials can be improved, and the optimization of resource utilization and the maximization of environmental benefits can be achieved.

[0107] Example 1 Complementary characteristics of biomass raw materials: Biomass raw material A is corn stalks, and its complementary biomass raw material B is soybean stalks with lower plants. By intercropping the two biomass raw materials, carbon emissions can be reduced from the planting stage. Intercropping refers to the agricultural technology of planting two or more crops on the same piece of land at the same time according to a certain ratio of rows, plant spacing and land width. On the one hand, intercropping corn and soybeans can improve land utilization efficiency. Corn and soybeans have different growth cycles and space requirements. Corn is a tall crop and soybeans are short crops. Through intercropping, soybeans can grow between the rows of corn, making full use of land space and improving land utilization efficiency; and intercropping can increase biomass output per unit area, thereby increasing the total output of corn and soybeans.

[0108] On the other hand, the root characteristics of corn and soybean are different. Corn has a well-developed root system that mainly absorbs nutrients from the lower soil layer and has a higher demand for nitrogen fertilizer. The root system of soybean contains rhizobia that can fix nitrogen in the air and then convert it into nitrogen-containing compounds that can be absorbed and utilized by plants. Not only can it meet its own needs, but it can also release some nitrogen into the soil for corn to absorb and utilize. This complementary effect can reduce the use of nitrogen fertilizers, thereby reducing carbon emissions in the fertilizer production process.

[0109] Example 2 Complementary effects of gasification and synthesis gas: The important raw materials for synthesizing methanol are carbon monoxide and hydrogen. Biomass raw material A mainly produces carbon monoxide during the gasification process. However, the synthesis gas generated by biomass raw material A alone may lack sufficient hydrogen, resulting in an imbalance in the ratio of hydrogen to carbon monoxide in the synthesis gas, affecting the efficiency of methanol synthesis. Biomass raw material B mainly produces hydrogen during the gasification process. These two biomass raw materials form a complementary relationship in the composition of methanol synthesis gas. Their combination can provide a more comprehensive raw gas for methanol production.

[0110] By optimizing the composition of syngas and reducing the need for added hydrogen or carbon monoxide, energy consumption in the gasification and synthesis processes can be reduced. Reduction in energy consumption directly leads to reduction in carbon emissions. Optimizing the syngas ratio can reduce the occurrence of side reactions such as methanation, which not only reduces methanol production but also increases carbon emissions. By mixing biomass feedstock A and biomass feedstock B, these side reactions can be reduced, thereby reducing carbon emissions.

[0111] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application. It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0112] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A carbon emission reduction method for preparing green fuel from multiple biomass, characterized in that: The method comprises: Step 1: Obtain characteristic data of the biomass raw material to be processed; Step 2: Obtain the life cycle carbon emissions of different biomass raw materials per unit mass , and the methanol production per unit mass of biomass raw materials , based on the obtained full life cycle carbon emissions and methanol production , calculate the carbon consumption-output ratio of methanol production from biomass raw materials = / ; Where i is any biomass raw material; carbon emissions in the whole life cycle The carbon emissions of each unit mass of different biomass raw materials in the process of producing methanol, including planting, collection, transportation, and processing into methanol; Step 3: Based on the characteristic data of the biomass raw materials to be processed and the methanol production per unit mass of the biomass raw materials Carbon consumption-to-output ratio of methanol production To grade the performance of methanol production from different biomass raw materials; Step 4: Obtain the carbon emissions of the entire life cycle based on the characteristic data of the biomass raw materials to be processed , methanol production , Carbon consumption-to-output ratio of methanol production from biomass raw materials As well as the results of the classification of biomass raw materials, the complementarity of biomass raw materials is analyzed; Step 5: Select the target biomass raw material according to the classification result of the biomass raw materials in step 3; According to the result of the grade classification of the target biomass raw material, the target biomass raw material is used alone as a biomass raw material for preparing methanol; or, According to the complementarity of the target biomass raw material, one or more biomass raw materials that are complementary to the target biomass raw material are selected, and the mixing ratio of the biomass raw materials is adjusted to prepare methanol.

2. The carbon emission reduction method for preparing green fuel from multiple biomass according to claim 1, characterized in that: The biomass raw material classification in step 3 is based on the following scoring model: =α +β ； in, is the grade score of biomass raw materials, α is the methanol yield The weight of β is the carbon consumption output ratio of methanol preparation. The weight of .

3. The carbon emission reduction method for preparing green fuel from multiple biomass according to claim 2, characterized in that: The step 3 comprises: Step 31: Obtain the grade score of i type of biomass raw material ; Step 32: Right Sort by: > > >...> ; Step 33: Set the grade score of biomass raw materials The value in the first range is a superior biomass raw material, and the grade score of the biomass raw material is The value in the second range is medium biomass raw material, and the grade score of biomass raw material is The values ​​in the third range indicate inferior biomass raw materials.

4. The carbon emission reduction method for preparing green fuel from multiple biomass according to claim 3 is characterized in that: The target biomass raw material is a high-quality biomass raw material or a medium-quality biomass raw material.

5. The carbon emission reduction method for preparing green fuel from multiple biomass according to claim 3, characterized in that: Methanol production from different biomass raw materials per unit mass The value of is used to classify the preparation performance of methanol from different biomass raw materials, and the step 3 further comprises: Step 301: Obtain the methanol yield of i types of biomass raw materials ; Step 302: Sort by: > > >...> ; Step 303: Methanol production If the value of is in the fourth range, the preparation performance of methanol from biomass raw materials is excellent.

6. The carbon emission reduction method for preparing green fuel from various biomass according to claim 5, characterized in that: The step 5 also includes: Step 501: Calculate the grade scores of the high-quality biomass raw materials The average , methanol production from biomass raw materials with excellent methanol production performance The average value M , wherein n is the amount of biomass raw materials in the first range, and a is the amount of biomass raw materials in the fourth range; Step 502: determine whether the grade score of the target biomass raw material is greater than the average value H. If so, the target biomass raw material does not need to be mixed with other biomass raw materials to prepare methanol; if not, execute step 503; Step 503: Determine whether the grade score of the target biomass raw material is greater than the maximum value of the inferior grade score If so, the main factors leading to the low grade score of the biomass raw material are analyzed according to the raw material database and the grade scoring model, and one or more complementary biomass raw materials are matched from the raw material database to adjust the selection and ratio of different biomass raw materials.

7. The carbon emission reduction method for preparing green fuel from multiple biomass according to claim 1, characterized in that: The characteristic data of biomass raw materials include: the type of gas produced by gasification of biomass raw materials and the gas output, wherein the gas type is the reaction gas for synthesizing methanol; The complementarity analysis of biomass raw materials includes: the complementarity analysis between the output amounts of reaction gas for synthesizing methanol produced by gasification of biomass raw materials.

8. The carbon emission reduction method for preparing green fuel from various biomass according to claim 7, characterized in that: The reaction gas for synthesizing methanol includes at least a first reaction gas and a second reaction gas. If the output of the first reaction gas produced by gasification of the target biomass raw material is greater than the output of the second reaction gas, then the output of the second reaction gas produced by gasification of the matching complementary biomass raw material is greater than the output of the first reaction gas.

9. The carbon emission reduction method for preparing green fuel from various biomass according to claim 1, characterized in that: The characteristic data of biomass raw materials further include the chemical composition, calorific value, moisture content, and ash content information of different types of biomass raw materials. The biomass raw materials with appropriate proportions are selected based on the complementarity of the above data.

10. A carbon emission reduction system for preparing green fuels from multiple biomass, used to implement the carbon emission reduction method for preparing green fuels from multiple biomass as claimed in any one of claims 1 to 9, characterized in that: The system comprises: An acquisition module, for acquiring characteristic data of the biomass raw materials to be processed; Calculation module to obtain the carbon emissions of different biomass raw materials per unit mass throughout their life cycle , and the methanol production per unit mass of biomass raw materials , based on the obtained full life cycle carbon emissions and methanol production , calculate the carbon consumption-output ratio of methanol production from biomass raw materials = / ; Where i is any biomass raw material; carbon emissions in the whole life cycle The carbon emissions of each unit mass of different biomass raw materials in the process of producing methanol, including planting, collection, transportation, and processing into methanol; The classification module is based on the characteristic data of the biomass raw materials to be processed and the methanol production per unit mass of biomass raw materials. Carbon consumption-to-output ratio of methanol production To grade the performance of methanol production from different biomass raw materials; Analysis module, based on the characteristic data of the biomass raw materials to be processed and the obtained carbon emissions of the whole life cycle , methanol production , Carbon consumption-to-output ratio of methanol production from biomass raw materials As well as the results of the classification of biomass raw materials, the complementarity of biomass raw materials is analyzed; A selection module, which selects target biomass raw materials according to the classification results of biomass raw materials; According to the result of the classification of the target biomass raw material, the target biomass raw material is used alone as a biomass raw material for preparing methanol; Alternatively, based on the complementarity of the target biomass raw material, one or more biomass raw materials that are complementary to the target biomass raw material are selected, and the mixing ratio of the biomass raw materials is adjusted to produce methanol.

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