Carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials

Abstract

The invention provides a carbon emission reduction optimization method for preparing green methanol from a mixed biomass raw material, which comprises the following steps: providing a carbon emission reduction model for preparing green methanol from a single type of biomass raw material, and providing a user selectable biomass raw material A, a production treatment mode B, a transportation mode C and a green methanol use stage recovery mode D, according to a raw material obtaining stage, a production stage, a transportation stage and a use stage, various executable schemes are formed, the total carbon emission amount of the whole life cycle in the various executable schemes is calculated, and the executable scheme with the low total carbon emission amount of the whole life cycle is selected as the actual executable scheme of the mixed biomass for a user to select. On the premise of meeting user requirements, a user is helped to select an executable scheme capable of mixing biomass with the minimum carbon emission, multiple attempts in actual operation are avoided, time and cost are saved, and carbon emission is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission optimization, and in particular to a carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials. Background Art

[0002] As the global demand for sustainable energy increases, biomass energy as a renewable resource has received widespread attention. Biomass raw materials, such as agricultural and forestry waste, urban organic waste, etc., are regarded as important alternatives to traditional fossil fuels due to their low carbon emissions and environmentally friendly characteristics. In the existing technology, the preparation of methanol from biomass raw materials is an effective way of energy conversion, but this process is usually accompanied by high carbon emissions, which puts a certain pressure on the environment.

[0003] The specific biomass methanol production process usually includes multiple links such as raw material pretreatment, gasification, synthesis gas purification, methanol synthesis, etc. In this process, in order to increase the yield of methanol, a large amount of energy is often consumed, resulting in higher carbon emissions. In addition, due to the complex and heterogeneous composition of biomass raw materials, this also increases the difficulty of process control, further affecting the control of carbon emission levels.

[0004] Therefore, under the existing technical background, how to optimize the preparation process and reduce carbon emissions by mixing different types of biomass raw materials has become an urgent problem to be solved. Summary of the invention

[0005] The purpose of the present invention is to provide a carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials, which can help users select an executable solution for mixed biomass with the least carbon emissions while meeting user needs, thereby avoiding multiple attempts in actual operations, saving time and costs, and reducing carbon emissions.

[0006] A carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials, comprising: S10, providing a carbon emission reduction model for preparing green methanol from biomass raw materials, wherein the carbon emission reduction model for preparing green methanol from biomass raw materials includes a plurality of carbon emission reduction sub-models, and each single type of carbon emission reduction sub-model is established based on the carbon emissions of each single type of biomass raw material in the whole life cycle from raw material acquisition to green methanol use; the whole life cycle includes raw material acquisition stage, production stage, transportation stage and use stage; S20, providing the user with the following options: A biomass raw material, B production and processing method, C transportation method, and D green methanol usage method in the use phase, where A, B, C, and D are all positive integers; S30, selecting at least two biomass raw materials as the first type of mixed biomass according to the first preset condition, forming A1 type of first type executable scheme; wherein the proportion of each type of biomass in the first type of mixed biomass is the same, and the first preset condition includes the calorific value and moisture content of the raw materials in the raw material acquisition stage; A1 is the amount of mixed biomass formed by at least two biomass raw materials in the A type of biomass raw materials, and A1 is a positive integer; Calculate and record the carbon emissions of each of the first type of executable solutions in the raw material acquisition stage to ; S40, forming A1×B second-type executable solutions based on the first-type executable solutions according to each of the B production processing methods; Calculate and record the carbon emissions of each of the second category of feasible solutions during the production phase to ; S50, forming A1×B×C third-type executable plans based on the second-type executable plans according to each of the C modes of transportation; Calculate and record the carbon emissions during the transportation phase for each of the third-category feasible options to ; S60, based on the third type of executable scheme, a fourth type of executable scheme is formed according to the use mode of green methanol in the use stage; according to the different use modes of green methanol in the use stage, the fourth type of executable scheme is divided into three major categories: direct use D1, indirect use D2 and partly direct and partly indirect use D3; the number of the fourth type of executable scheme is at most A1×B×C×3; In the direct use, calculate the carbon emissions during methanol combustion ; In the indirect use, calculate the carbon emissions from the entire process of production, use and recovery of methanol extension products. ; Calculate the carbon emissions from methanol combustion in both direct and indirect uses Carbon emissions from the production, use and recycling of methanol and its extended products ; S70, calculates the total carbon emissions over the entire life cycle according to the three major usage modes of green methanol in the use phase: When green methanol is used directly, the total carbon emissions over its entire life cycle are + + + ; When green methanol is used indirectly, the total carbon emissions over the entire life cycle are + + + ; When green methanol is used partly directly and partly indirectly, the total carbon emissions over the entire life cycle are + + + + ; Wherein, i, j, k are all positive integers, 1≤i≤A1, 1≤j≤B, 1≤k≤C; S80, select an executable solution with a lower total carbon emission in the whole life cycle as the actual executable solution for mixed biomass for the user to choose; The S80 includes: S81, select N executable plans with the lowest total carbon emissions over the entire life cycle as the nth preliminary execution plan, where N and n are both positive integers, and n≤N<A1×B×C; S82, adjusting the proportion of different types of biomass raw materials in the mixed biomass in the nth preliminary execution plan; S83, calculating the carbon emissions of the nth prepared execution plan under different proportions, and selecting the prepared execution plan with the smallest carbon emissions as the nth actual executable plan for the user to select.

[0007] In one embodiment, before S81, the method further includes: S801, respectively set the weights of carbon emissions generated at each stage in the entire life cycle of green methanol, with the weight of carbon emissions generated at the raw material acquisition stage being W1, the weight of carbon emissions generated at the production stage being W2, the weight of carbon emissions generated at the transportation stage being W3, and the weight of carbon emissions generated at the use stage being W4; S802, multiply the carbon emissions of each stage in all the fourth type of executable solutions by the corresponding weights, and then add them up to form the total carbon emissions of the whole life cycle after the secondary calculation; wherein, When green methanol is used directly, the total carbon emissions over its entire life cycle after secondary calculation is + + + ; When green methanol is used indirectly, the total carbon emissions over the entire life cycle after secondary calculation are + + + ; When green methanol is used partly directly and partly indirectly, the total carbon emissions over the entire life cycle after secondary calculation are: + + + + ; S803, according to the total carbon emissions of the entire life cycle after the secondary calculation, multiple practical executable solutions are selected for the user to choose.

[0008] In one embodiment, the carbon emission reduction optimization method for preparing green methanol from mixed biomass feedstocks further includes: S90, respectively calculating the comprehensive cost of each of the actually executable solutions, and taking the actually executable solution with the lowest comprehensive cost as the final execution solution.

[0009] In one embodiment, each single type of the carbon emission reduction sub-model is constructed by means of early data collection and later real-time data expansion; and the data types in each single type of the carbon emission reduction sub-model include: primary data and secondary data.

[0010] In one embodiment, the following formula (1) is used to calculate the carbon emissions of each executable solution over the entire life cycle from raw material acquisition to green methanol use: Formula (1) Refers to the carbon emissions generated during the raw material acquisition stage. Refers to the carbon emissions generated during the green methanol production stage. Refers to the carbon emissions generated during the transportation of green methanol. Refers to the carbon emissions generated during the green methanol stage; , , , , The units are tonnes of carbon dioxide equivalent per tonne of methanol.

[0011] In one embodiment, at the raw material acquisition stage, each single type of the carbon reduction sub-model includes: a main production process unit and a raw material extraction unit; The carbon emission of biomass raw materials in the main production process unit is 0; the carbon emission of biomass raw materials in the raw material extraction unit is the sum of the carbon emissions generated in the process of planting biomass, collecting biomass, capturing biomass and purifying biomass.

[0012] In one embodiment, during the production stage of green methanol, each single type of carbon emission reduction sub-model uses the following formula (2) to calculate carbon emissions: ;Formula (2) in, Carbon emissions for electricity consumption; Carbon emissions for heat consumption; Input carbon emissions for others; Carbon emissions for wastewater consumption; , , , The units are all tons of carbon dioxide equivalent; It is the dry weight of process raw materials or products in tons.

[0013] In one embodiment, during the transportation stage of green methanol, each single type of the carbon emission reduction sub-model uses the following formula (3-1) or formula (3-2) to calculate carbon emissions: Formula (3-1) is the carbon emissions in the transport stage, expressed in tons of carbon dioxide equivalent per ton of dry weight (tCO2e / t); is the number of trips required for transport, dimensionless; is the load transportation distance in kilometers; is the transport mode load fuel efficiency in liters per kilometer; is the empty transport distance of the material, in kilometers; is the unloaded fuel efficiency of the transport mode, in litres per kilometre; is the fuel emission factor corresponding to transport fuels, expressed in tons of carbon dioxide equivalent per liter; is the transport dry weight in tons; Formula (3-2) is the carbon emission in the transport stage, expressed in tons of carbon dioxide equivalent per ton of dry weight; It is the wet weight for transportation, in tons; is the transport distance in kilometers; is the transport thermal efficiency, expressed in megajoules per ton-kilometer; is the fuel emission factor corresponding to transport fuels, expressed in tonnes of carbon dioxide equivalent per megajoule; It is the transport dry weight in tons.

[0014] In one embodiment, during the use phase of green methanol, each single type of carbon emission reduction sub-model uses the following formula (4) to calculate carbon emissions: Formula (4) is the carbon emissions during the methanol use phase, expressed in tons of carbon dioxide equivalent per ton of methanol; is the proportion of fossil sources of carbon elements in methanol products, unit: %; It is the emission factor for methanol oxidation decomposition, assuming that all carbon elements in the methanol product are oxidized into carbon dioxide.

[0015] In one embodiment, when providing the user with an actual executable solution, the carbon emission of the actual executable solution is converted into an emission reduction value by the following formula (5); Alternatively, when providing the first practical executable plan, the second practical executable plan, the third practical executable plan, and the fourth practical executable plan to the user, the carbon emissions of the practical executable plans are converted into emission reduction values ​​by the following formula (5); Formula (5) is the emission reduction value of the executable plan; is the international standard carbon emission; E is the carbon emission of the executable plan.

[0016] The present invention has at least the following advantages or beneficial effects: 1. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in one embodiment of the present application helps users select an executable solution for mixed biomass with the least carbon emissions, while meeting user needs, avoiding multiple attempts in actual operations, saving time and costs, and reducing carbon emissions. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in the present application fully combines actual user needs to give the lowest and most reasonable suggestions for the use of mixed biomass raw materials to prepare green methanol within the entire life cycle, providing users with sufficient realistic basis for decision-making. In this embodiment, the different ways of using green methanol in the use stage can be sorted separately, and then suggestions can be given to users in order from low to high in terms of total carbon emissions.

[0017] 2. In another embodiment of the present application, a carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials is provided. When adjusting the proportion, each preparatory execution scheme can draw a curve about "the proportion of different types of biomass raw materials in the mixed biomass raw materials-carbon emission", select the proportion of different types of biomass raw materials corresponding to the point with the lowest carbon emission on the curve as the optimal proportion, and recommend it to the customer as an actual executable scheme. In this embodiment, from the N executable schemes, the proportion of different types of biomass raw materials in the mixed biomass raw materials is further adjusted to provide users with a more optimized actual executable scheme.

[0018] 3. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in another embodiment of the present application can be selected by users according to the comprehensive cost, and economic benefits are guaranteed under the premise of the lowest carbon emission. For example, the cost of each executable scheme in the whole life cycle from raw material acquisition to green methanol use is further calculated, and the executable scheme with low carbon emission and low cost is selected as the actual executable scheme.

[0019] 4. In another embodiment of the present application, a carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials is provided. When constructing each single type of carbon emission reduction sub-model, the early data collection is a huge data system of different data types collected in the early preparation process, and the later real-time data expansion is an auxiliary data system formed by supplementing the data to expand the scope of application of the model and adjust the accuracy of the model. The carbon emission reduction model for preparing green methanol from a single type of biomass raw materials includes a large amount of data and constructs the correlation relationship of the whole process of producing 1 ton of methanol product (100% purity).

[0020] 5. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in this application also provides a method for calculating the carbon emissions in each process. A unified calculation method is used to form a unified data processing, and sorting or comparison is performed to facilitate data statistics, while also ensuring the authenticity and reliability of the data results.

[0021] 6. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in this application allows users to select a specific executable plan for implementation based on the emission reduction value. The executable plan with the larger emission reduction value and the smaller the overall cost is better. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 A schematic flow chart of the steps of the method for optimizing carbon emission reduction by preparing green methanol from mixed biomass raw materials provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0025] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0027] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0028] In addition, the terms "horizontal", "vertical" and the like do not mean that the components are required to be absolutely horizontal or suspended, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0029] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0030] The preparation of methanol from biomass raw materials is a process for converting renewable biomass resources into methanol, which has high economic and environmental benefits. Due to the complex and heterogeneous composition of biomass raw materials, this also increases the difficulty of process control, further affecting the control of carbon emission levels. Therefore, under the background of the prior art, how to optimize the preparation process and reduce carbon emissions by mixing different types of biomass raw materials has become a problem to be solved urgently. The present application provides a carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials, the purpose of which is to help users select an executable solution for mixed biomass with the least carbon emissions while meeting user needs, avoiding multiple attempts in actual operations, saving time and cost, and reducing carbon emissions.

[0031] Biomass includes: organic matter (living and dead), such as trees, crops, grasses, trees and litter, algae, animals, feces and biogenic waste. Specifically, the biomass available in the real environment includes: straw (such as corn straw, wheat straw, rice straw, bean straw), corn cob cobs, municipal prunings, fruit tree prunings, forest waste, nut shells, restaurant kitchen waste, livestock and poultry manure, etc.

[0032] See also Figure 1 The present application provides a carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials, including: S10, providing a carbon emission reduction model for preparing green methanol from biomass raw materials (as shown in Table 1), wherein the carbon emission reduction model for preparing green methanol from biomass raw materials includes multiple carbon emission reduction sub-models, and each single type of carbon emission reduction sub-model is established based on the carbon emissions of each single type of biomass raw material in the whole life cycle from raw material acquisition to green methanol use. The whole life cycle includes raw material acquisition stage, production stage, transportation stage and use stage.

[0033] The raw material acquisition stage refers to the production of the main raw materials and other raw and auxiliary materials used to produce methanol, which are produced outside the legal entity of the methanol production entity, such as the direct air capture of carbon dioxide or the industrial tail gas capture process, the planting and collection process of biomass raw materials, the production and collection process of industrial by-product hydrogen, etc., as well as the purification, refining and pretreatment stages of the above raw materials. In one embodiment, a raw material acquisition stage of a biomass raw material corn cob core is provided, which includes the following steps: (1) Collecting corn cobs: Corn cobs are the core of the corn cob, or the corn cob, left after the corn is threshed. After the corn is harvested, the corn cobs can be collected.

[0034] (2) Drying: The collected corn cobs need to be dried for storage and subsequent processing. They can be dried naturally or using drying equipment.

[0035] (3) Crushing: The dried corn cob core can be processed using a crusher with an appropriate mesh diameter to obtain corn cob particles of different sizes. For example, corn cob cores processed using a crusher with a mesh diameter of 20 to 16 mm can be used for the cultivation of oyster mushrooms; corn cob cores crushed using a crusher with a mesh diameter of 10 mm can be used for the cultivation of mushrooms such as Flammulina velutipes.

[0036] (4) Storage and transportation: The crushed corn cob core particles should be properly stored to avoid moisture and mildew to maintain their nutritional value and physical properties. When convenient for transportation, they can be packaged or pressed into blocks.

[0037] The production stage refers to all the processes involved in methanol production, excluding personnel and living facilities in the plant. For example, in the direct synthesis route for methanol production, carbon dioxide and hydrogen are directly synthesized through gas compression and catalytic reaction, and crude methanol distillation process; in the biomass synthesis gas production route for methanol production, biomass pyrolysis or gasification decomposition, crude synthesis gas conversion, purification (decarbonization, desulfurization), compression, synthesis, crude methanol distillation, etc.

[0038] The transportation stage refers to the process of transporting raw materials and products between various locations in the methanol life cycle. The use stage refers to the process of methanol products being burned at the consumer end or their extended chemical products being oxidized and decomposed.

[0039] Table 1: Carbon emission reduction model for producing green methanol from biomass raw materials

[0040] S20, providing the user with the following options: A biomass raw material, B production and processing method, C transportation method, and D green methanol recovery method in the use stage. For example, in Example 1, the user can provide 3 biomass raw materials, 2 production and processing methods, 2 transportation methods, and 1 green methanol recovery method in the use stage.

[0041] S30, selecting at least two biomass raw materials as the first type of mixed biomass according to the first preset condition, forming multiple (such as A1) first type executable solutions. Among them, the proportion of each type of biomass in the first type of mixed biomass is the same, and the first preset condition includes the calorific value, moisture content, sulfur content, etc. of the raw materials in the raw material acquisition stage. For example, biomass with high moisture content requires additional heat to dry when burned, resulting in increased coal consumption, thereby increasing carbon dioxide emissions.

[0042] For example, in the above-mentioned embodiment 1, according to the calorific value of the raw materials in the first preset condition, at least two biomass raw materials are selected as the first type of mixed biomass, and a total of 4 (A1=4) first type executable schemes can be formed (respectively: raw material 1 and raw material 2 each account for 50% to form the first type of mixed biomass, raw material 1 and raw material 3 each account for 50% to form the first type of mixed biomass, raw material 2 and raw material 3 each account for 50% to form the first type of mixed biomass, raw material 1, raw material 2 and raw material 3 each account for 33.3% to form the first type of mixed biomass). In one embodiment, the first preset condition can be a single condition or a mixed condition formed by multiple conditions; specifically, biomass can be selected according to one condition, or which biomass can be selected as a member of the mixed biomass according to multiple conditions.

[0043] In one embodiment, the first preset condition may also include: the economic cost of raw materials (such as raw material acquisition cost, raw material production cost, raw material transportation cost), the availability of raw materials (such as whether the raw materials are acquired at a single point or multiple points, whether the raw materials require pretreatment and chemical treatment), the maturity of raw material processing technology (techniques for processing raw materials such as sorting, filtration, precipitation, degumming, etc.), operating expenses, energy demand structure, etc.

[0044] According to the calculation formula of carbon emissions in the whole life cycle from raw material acquisition to green methanol use, calculate the carbon emissions in the raw material acquisition stage of each of the first type of executable schemes. Record the calculation results of carbon emissions in the raw material acquisition stage of multiple first type of executable schemes to For example, in the above embodiment 1, the carbon emissions of the four first-category executable solutions are calculated and recorded as follows: , , , .

[0045] S40, forming a plurality of (A1×B) second-type executable solutions based on the first-type executable solutions according to each of the B production processing methods. Calculate the carbon emissions in the production stage of each of the second-category executable schemes according to the calculation formula for the carbon emissions in the entire life cycle from raw material acquisition to green methanol use, and record the calculation results of the carbon emissions in the production stage of multiple second-category executable schemes to For example, in the above embodiment 1, the carbon emissions corresponding to B=2 production and processing methods are calculated and recorded as follows: , Carbon emissions during the production phase include electricity consumption, heat consumption, other inputs, wastewater consumption, etc.

[0046] S50: Based on the second type of executable scheme, form A1×B×C third type of executable schemes according to each of the C types of transportation modes. Calculate and record the carbon emissions in the transportation stage of each of the third type of executable schemes. to For example, in the above embodiment 1, the carbon emissions corresponding to C=2 modes of transportation are calculated and recorded as follows: , .

[0047] S60, based on the third type of executable scheme, a fourth type of executable scheme is formed according to the use mode of green methanol in the use stage; according to the different use modes of green methanol in the use stage, the scheme is divided into three major categories: direct use D1, indirect use D2, and partly direct and partly indirect use D3. The fourth type of executable scheme has a maximum number of A1×B×C×3 types.

[0048] In the direct use, calculate the carbon emissions during methanol combustion In the indirect use, calculate the carbon emissions of the entire process of production, use and recovery of methanol extension products. . Calculate the carbon emissions from methanol combustion in both direct and indirect uses. Carbon emissions from the production, use and recycling of methanol and its extended products Among them, when the green methanol is used partly directly and partly indirectly during the use phase, the usage ratio is provided by the user.

[0049] In this step, the green methanol involved can be used in many fields, such as as fuel in the transportation field; as chemical raw materials, synthetic fiber or plastic production in the industrial field; as energy storage medium in the energy field; as power generation fuel in the power generation field; as drug synthesis in the biomedicine field; and as detergent and antifreeze in the daily necessities field.

[0050] S70, calculates the total carbon emissions over the entire life cycle according to the three major usage modes of green methanol in the use phase: When green methanol is used directly, the total carbon emissions over its entire life cycle are + + + ; When green methanol is used indirectly, the total carbon emissions over the entire life cycle are + + + ; When green methanol is used partly directly and partly indirectly, the total carbon emissions over the entire life cycle are + + + + ; Among them, i, j, k are all positive integers, 1≤i≤A1, 1≤j≤B, 1≤k≤C.

[0051] S80, select an executable solution with a lower total carbon emission in the whole life cycle as the actual executable solution for mixed biomass for the user to choose. For example, an executable solution with a total carbon emission in the top 5% to top 25% in the whole life cycle can be selected as the actual executable solution for mixed biomass for the user to choose.

[0052] In this embodiment, under the premise of meeting the needs of users, it helps users to select the executable solution of the mixed biomass with the least carbon emission, avoiding multiple attempts in actual operation, saving time and cost, and reducing carbon emissions. In the above embodiment, the lowest and most reasonable suggestion for the preparation of green methanol using mixed biomass raw materials within the whole life cycle is given in full combination with the actual needs of users, providing sufficient realistic basis for users' decision-making.

[0053] Embodiment 2: As shown in Tables 2 to 6 below, single biomass raw materials include: straw, corn cob cores, prunings, forest waste, food waste, livestock and poultry manure, etc. Type A biomass raw materials provided by users: wheat straw, municipal prunings, food waste. Users can choose: A = 3 types of biomass raw materials (A1 = 4), B = 3 production and processing methods, C = 2 transportation methods, D = 1 method of using green methanol in the use stage.

[0054] Table 2: Schematic diagram of carbon emissions generated in the raw material acquisition stage in Example 2

[0055] Table 2 above shows three types of biomass raw materials provided by the user. According to the first preset condition, at least two biomass raw materials are selected as the first type of mixed biomass to form four first type executable schemes, and the carbon emissions generated in the raw material acquisition stage are calculated.

[0056] Table 3: Schematic diagram of carbon emissions generated during the production phase of Example 2

[0057] Table 3 above shows three production processing methods provided by users. The carbon emissions generated in the production stage are calculated based on the energy consumption when producing green methanol.

[0058] Table 4: Schematic diagram of carbon emissions generated during the transportation phase in Example 2

[0059] Table 4 above shows two modes of transportation provided by users. The carbon emissions generated during the transportation phase are calculated based on the transportation distance and fuel combustion efficiency when transporting green methanol.

[0060] Table 5: Schematic diagram of carbon emissions generated during the use phase of Example 2

[0061] Table 5 above shows a green methanol recovery method provided by the user, and calculates the carbon emissions generated when the green methanol is burned.

[0062] Table 6: Schematic table of the total carbon emissions of all executable solutions in Example 2

[0063] Table 6 above shows the carbon emissions of the four first-category executable schemes (mixed biomass raw materials), three production and processing methods, two transportation methods, and one green methanol usage method provided by the user in the use phase, the total number of all executable schemes, 24 in total, and the total carbon emissions of all executable schemes. The scheme with the lower carbon emissions is selected from the 24 executable schemes as the actual executable scheme. Subsequently, users can further add the cost of each stage to select specific implementation plans, thereby ensuring economic benefits under the premise of the lowest carbon emissions.

[0064] In one embodiment, the method for optimizing carbon emission reduction by preparing green methanol from mixed biomass feedstocks further includes: S81, select N executable plans with the lowest total carbon emissions over the entire life cycle as the nth preliminary implementation plan, where N and n are both positive integers, and n≤N<A1×B×C.

[0065] S82, adjusting the proportion of different types of biomass raw materials in the mixed biomass in the nth preliminary execution plan.

[0066] S83, calculating the carbon emissions of the nth prepared execution plan under different proportions, and selecting the prepared execution plan with the smallest carbon emissions as the nth actual executable plan for the user to select.

[0067] In this embodiment, when adjusting the proportion of each preparatory implementation plan, a curve of "the proportion of different types of biomass raw materials in the mixed biomass raw materials - carbon emissions" can be drawn, and the proportion of different types of biomass raw materials corresponding to the point with the lowest carbon emissions on the curve is selected as the optimal proportion, and recommended to the customer as the actual executable plan. In this embodiment, from the N executable plans, the proportion of different types of biomass raw materials in the mixed biomass raw materials is further adjusted, providing users with a more optimized actual executable plan.

[0068] In one embodiment, the carbon emission reduction optimization method for preparing green methanol from mixed biomass feedstocks further includes: S90, respectively calculating the comprehensive cost of each of the actually executable solutions, and taking the actually executable solution with the lowest comprehensive cost as the final execution solution.

[0069] In this embodiment, the user is personalized according to the comprehensive cost, and the economic benefits are guaranteed under the premise of the lowest carbon emission. For example, the cost of each executable plan in the whole life cycle from raw material acquisition to green methanol use is further calculated, and the executable plan with low carbon emission and low cost is selected as the actual executable plan.

[0070] In one embodiment, each single type of the carbon emission reduction sub-model is constructed by means of early data collection and later real-time data expansion; and the data types in each single type of the carbon emission reduction sub-model include: primary data and secondary data.

[0071] The primary data include the consumption of raw and auxiliary materials, energy consumption, pollutant emissions, and transportation distance of the corresponding transportation methods in the methanol production stage, as well as the production data of the upstream supply chain that can be directly obtained. If it meets the definition, direct emission data, carbon footprint factor data and process activity data can all be classified as primary data.

[0072] Secondary data include industry average data, estimates based on literature research, production data published by industry associations, government statistics, literature data, engineering research and patents, and may also be based on financial data. It can be proxy data generated by external expert evaluation. In addition, it can also come from third-party LCI databases, development resources, supply chain product carbon footprint calculations, etc.

[0073] In this embodiment, the early data collection is a huge data system of different data types collected in the early preparation process, and the later real-time data expansion is an auxiliary data system formed by supplementing the data to expand the scope of application of the model and adjust the accuracy of the model. The carbon emission reduction model for preparing green methanol from a single type of biomass raw material includes a large amount of data and constructs the correlation relationship of the whole process of producing 1 ton of methanol product (100% purity).

[0074] In one embodiment, before S81, the method further includes: S801, respectively set the weights of carbon emissions generated at each stage in the entire life cycle of green methanol, with the weight of carbon emissions generated at the raw material acquisition stage being W1, the weight of carbon emissions generated at the production stage being W2, the weight of carbon emissions generated at the transportation stage being W3, and the weight of carbon emissions generated at the use stage being W4; S802, multiply the carbon emissions of each stage in all the fourth type of executable solutions by the corresponding weights, and then add them up to form the total carbon emissions of the whole life cycle after the secondary calculation; wherein, When green methanol is used directly, the total carbon emissions over its entire life cycle after secondary calculation is + + + ; When green methanol is used indirectly, the total carbon emissions over the entire life cycle after secondary calculation are + + + ; When green methanol is used partly directly and partly indirectly, the total carbon emissions over the entire life cycle after secondary calculation are: + + + + ; S803, according to the total carbon emissions of the entire life cycle after the secondary calculation, multiple practical executable solutions are selected for the user to choose.

[0075] In this embodiment, in the actual application process, the screening method of the actual executable scheme is further optimized by combining the gap between the actual executable scheme given above and the actual total carbon emissions obtained after the user adopts the actual executable scheme. In this embodiment, it is considered that the transportation stage can reduce carbon emissions by reasonably adjusting the transportation process, so the weight can be relatively low. The weights of the raw material acquisition stage and the production stage are relatively high. The weight of green methanol in the use stage can be adjusted according to different usage methods. In this embodiment, the weights of each stage can be set to W1: W2: W3: W4 = 4: 4: 1: 1, or the weights of each stage can be set to W1: W2: W3: W4 = 5: 3: 1: 1. In this embodiment, by setting different weights for each stage for secondary screening, an executable scheme with a truly low carbon emission is selected, and the executable scheme after secondary screening is more suitable for realistic application scenarios.

[0076] In another embodiment, after "selecting a plurality of practical executable solutions according to the total carbon emissions of the entire life cycle after the secondary calculation", S81-S83 may be further executed to find the optimal ratio of different types of biomass raw materials in the mixed biomass.

[0077] In another embodiment, the first 50% of the executable solutions with the least total carbon emissions over the entire life cycle are screened out from all the executable solutions of the fourth category obtained after S70 or after S83 (first screening); The carbon emissions of each stage in the top 50% of executable plans with the lowest total carbon emissions over the entire life cycle that have been screened out are multiplied by the corresponding weights and then added up to form the total carbon emissions over the entire life cycle after the secondary calculation (second screening).

[0078] In this embodiment, a rough screening is first performed (the first 50% of the executable solutions with the least total carbon emissions in the whole life cycle are screened out for the first time), and then a fine screening is performed (secondary operation: the carbon emissions of each stage are screened out for the second time, multiplied by the corresponding weights, and then added to form the total carbon emissions of the whole life cycle after the secondary operation, and the executable solution with the least total carbon emissions in the whole life cycle after the secondary operation is screened as the actual executable solution recommended to the user), avoiding a large number of repeated calculations and not deviating from the user's preset conditions. In addition, the setting of weights (W1, W2, W3, W4) can be combined with factors such as the economic cost of green methanol in the whole life cycle, the availability of raw materials, the maturity of technology, operating expenses, and the energy demand structure. In this embodiment, a rough screening is performed through the results of the first operation, and a fine screening is performed through the results of the second operation. On the premise of meeting the needs of users, it helps users select the executable solution of the mixed biomass with the least carbon emissions, avoiding multiple attempts in actual operations, saving time and cost, and reducing carbon emissions.

[0079] Specifically, in the above-mentioned embodiment 2, the user can select three usage schemes: direct use, indirect use, and partly direct and partly indirect use. The final executable schemes are 24×3, as shown in the following Table 7.

[0080] Table 7: Schematic table of the number of all executable solutions in Example 2

[0081] Table 8: Schematic table of the total carbon emissions of all executable solutions in Example 2

[0082] Table 8 above shows the 4 first-category executable solutions (mixed biomass raw materials) provided by users, 3 production and processing methods, 2 transportation methods, and 3 green methanol usage methods in the use phase, the carbon emissions in each phase, the total number of all executable solutions is 24×3, and the total carbon emissions of all executable solutions. In the embodiment of the present application, there are three strategies for recommending to users. First, as shown in Table 8, three types of practical executable solutions with low total carbon emissions after secondary calculation are provided to users according to three different methods of using green methanol in the use stage; Second, as shown in Table 7, the carbon emissions of green methanol in the whole life cycle are calculated according to the three different methods of using green methanol in the use stage, and the carbon emissions are sorted respectively, and the executable solutions with low carbon emissions are selected respectively, and the secondary calculation is performed again. According to the results of the secondary calculation, the executable solutions with low total carbon emissions are selected from the three different methods of using green methanol in the use stage, as the actual executable solutions, and provided to users; Third, after the first or second, it also includes further adjusting the doping ratio of the mixed biomass raw materials from the selected executable solutions, and simulating the total carbon emissions under different doping ratios, and providing the simulated doping ratio and the actual executable solutions selected in the first or second together with the users. Subsequently, users can further consider the cost of each stage to select a specific implementation plan, thereby ensuring economic benefits under the premise of the lowest carbon emissions.

[0083] In one embodiment, the following formula (1) is used to calculate the carbon emissions of each executable solution over the entire life cycle from raw material acquisition to green methanol use: Formula (1) Refers to the carbon emissions generated by obtaining 1 ton of biomass raw materials required for green methanol products during the raw material acquisition stage. Refers to the carbon emissions generated during the production phase for every ton of green methanol product produced. Refers to the carbon emissions generated during the transportation phase for every ton of green methanol product. Refers to the carbon emissions generated by using 1 ton of green methanol products; , , , , The units are tons of carbon dioxide equivalent per ton of methanol, tCO2e / tmethanol.

[0084] In one embodiment, in the raw material acquisition stage, each single type of the carbon reduction sub-model includes: a main production process unit and a raw material extraction unit. In the prior art, designs are made for biomass raw materials and industrial by-product raw materials respectively. This application does not include industrial by-product raw materials, and only discusses biomass raw materials.

[0085] The carbon emission of biomass raw materials in the main production process unit is 0; the carbon emission of biomass raw materials in the raw material extraction unit is the sum of the carbon emissions generated in the process of planting biomass, collecting biomass, capturing biomass and purifying biomass.

[0086] In this embodiment, the main raw materials (biomass, carbon dioxide, carbon monoxide and hydrogen, etc.) are planted, collected, captured or purified before the green methanol production stage. The raw material acquisition stage is divided into the main production process unit and the raw material extraction unit, and the raw material extraction unit is used as the reference. (2) are calculated separately. For biomass raw materials, this application specifically refers to biomass waste or residues (such as straw, wood chips), and the carbon emissions of the main production process unit (i.e., the planting process) are counted as 0. For industrial by-product raw materials, the carbon emissions of the main production process unit before the collection and purification of the raw materials cannot be ignored. The carbon emissions should be allocated according to the allocation principle and then included in the carbon emissions of the raw material acquisition stage, and finally the carbon emissions of each raw material product are formed, in tons of carbon emission equivalent per ton of dry weight (tCO2e / t). The allocation principle refers to the division of the multi-output process into single-output unit processes by dividing the input and output of the process or product system between the analyzed product system and one or more other product systems based on physical, economic or other criteria. The input and output should be allocated to different products according to a clearly defined allocation procedure. The sum of the input and output allocated to a unit process should be equal to its input and output before allocation.

[0087] In this application, the reactants for green methanol production include: carbon dioxide, carbon monoxide and hydrogen. The production method of green methanol includes: 1. Carbon dioxide hydrogenation method Principle: Carbon dioxide and hydrogen react to produce methanol under the action of a catalyst. The reaction equation is: CO2+3H→CH3OH+H2OCO2+3H→CH3OH+H2O. Catalyst: Commonly used catalysts are Cu-based catalysts, such as Cu / ZnO / Al2O3. Advantages: The raw material source is wide, and carbon dioxide can be effectively utilized to reduce carbon emissions.

[0088] 2. Carbon monoxide and hydrogen synthesis method Principle: Carbon monoxide reacts with hydrogen to produce methanol under the action of a catalyst. The reaction equation is: CO+2H→CH3OHCO+2H→CH3OH. Catalyst: Commonly used catalysts include Cu / ZnO / Al2O3, etc. Process: Synthesis gas (CO+H2) is usually used in industry to prepare synthesis gas through processes such as steam reforming or partial oxidation, and then methanol is synthesized under the action of a catalyst.

[0089] 3. Mixed gas synthesis method Principle: Carbon dioxide and carbon monoxide react with hydrogen to produce methanol. The reaction equations include the following two: CO+2H→CH3OHCO+2H→CH3OH; and CO2+3H→CH3OH+H2OCO2+3H→CH3OH+H2O. Process: Syngas contains both CO and CO2. By adjusting the hydrogen-carbon ratio and reaction conditions, methanol can be synthesized under the action of a catalyst.

[0090] In one embodiment, during the production stage of green methanol, each single type of carbon emission reduction sub-model uses the following formula (2) to calculate carbon emissions: Formula (2) in, Carbon emissions for electricity consumption; Carbon emissions for heat consumption; Input carbon emissions for others; Carbon emissions for wastewater consumption; , , , The units are all tons of carbon dioxide equivalent; It is the dry weight of process raw materials or products in tons.

[0091] In this embodiment, the carbon emissions from the production process of main raw materials and products are quantified, and the carbon emissions from electricity consumption, heat consumption, other inputs, and wastewater consumption in the production unit are added together to calculate the carbon emissions from the main raw material or product production stage.

[0092] The carbon emissions from electricity consumption during the product production process can be calculated using the emission factor method, see the following formula (2-1): Formula (2-1) is the carbon emissions from electricity consumption, in tons of carbon dioxide equivalent (tCO2e); EC is electricity consumption, in megawatt-hours (MWh); is the electricity emission factor in tons of carbon dioxide equivalent per megawatt-hour (tCO2e / MWh).

[0093] Regarding the selection of electricity emission factors, the following requirements should be met: a) When the electricity consumed by the product is generated internally (such as on-site power generation) and is not sold to a third party, the life cycle data of the electricity should be included in the quantification of the product carbon footprint of the product; b) If there is a dedicated transmission line between the organization and the power plant and the consumed electricity is not sold to a third party, the electricity emission factor provided by the electricity supplier can be used; c) When the supplier can guarantee the supply of electricity through a contractual tool, the supplier's specific electricity production life cycle data should be used, and the electricity product should: convey information related to the electricity production unit and the characteristics of the generator set; ensure sole use rights; be tracked, redeemed, scrapped or cancelled by the reporting entity or on behalf of the reporting entity; be as close as possible to the applicable period of the contractual tool and include the corresponding length of time.

[0094] When supplier-specific electricity information is not available, the grid GHG emissions associated with the source of electricity should be used. The relevant grid GHG emissions should reflect electricity consumption in the relevant region, excluding any previously claimed electricity. If no electricity tracking system is available, the selected grid GHG emissions should reflect electricity consumption in the region.

[0095] For carbon emissions from heat consumption in the production process of products, the emission factor method should be used for calculation. The applicable formula can be selected according to the source type of activity level. The fuel-based calculation method can be used, see the following formula (2-2): Formula (2-2) is the carbon emissions from heat consumption, expressed in tons of carbon dioxide equivalent (tCO2e); is the fuel consumption in kilograms (kg) or liters (L); is the fuel emission factor in tons of carbon dioxide equivalent per kilogram or liter (tCO2e / kg or tCO2e / L).

[0096] Alternatively, for carbon emissions from heat consumption in the product production process, a method based on heat calculation can be used, see the following formula (2-3): Formula (2-3) is the carbon emissions from heat consumption, expressed in tons of carbon dioxide equivalent (tCO2e); is the heat consumption, in gigajoules (GJ); is the thermal emission factor, expressed in tons of carbon dioxide equivalent per gigajoule (tCO2e / GJ).

[0097] Other inputs in the product production process refer to other types of materials required for product production, such as consumed chemicals, other production products, process water or other fuels (such as diesel, natural gas, etc.), taking into account the emissions from the fossil raw material production process. For carbon emissions from other inputs in the product production process, the emission factor method should be used for calculation, see the following formula (2-4): Formula (2-4) is other input carbon emissions, in tons of carbon dioxide equivalent (tCO2e); is other input consumption, in kilograms (kg) or liters (L); is the other input emission factor in tonnes of carbon dioxide equivalent per kilogram or liter (tCO2e / kg or tCO2e / L).

[0098] In the case of using carbon-containing fossil energy as raw material to produce methanol, the carbon emissions of the production process are calculated according to the mass balance method based on the carbon content of the raw material input and the carbon content of the main and by-product outputs, see the following formula (2-5): Formula (2-5) In the case of using carbon-containing fossil energy as raw material to produce methanol, the carbon emissions of the production process are calculated according to the mass balance method based on the carbon content of the raw material input and the carbon content of the main and by-product outputs, see the following formula (2-6): Formula (2-6) is the CO2 emissions generated by fossil fuels and other hydrocarbons used as raw materials, in tons of carbon dioxide (tCO2); r is the type of raw materials entering the production process, such as specific types of fossil fuels, specific names of hydrocarbons, carbon electrodes and CO2 raw materials; is the input amount of raw material r, in tons (t) or ten thousand cubic meters (ten thousand Nm3); is the carbon content of the raw material r, in units of tons of carbon per ton or ten thousand cubic meters (tC / t or tC / ten thousand Nm3); p is the type of carbon-containing product flowing out of the production process, including various specific names of main products, co-products, by-products, etc.; is the output of carbon-containing product p, in tons (t) or ten thousand cubic meters (Nm3); is the carbon content of the carbon-containing product p, in tons of carbon per ton or ten thousand cubic meters (tC / t or tC / ten thousand Nm3); w Other carbon-containing outputs that exit the production process and are not included in the product category, such as slag, dust, sludge and other carbon-containing wastes; Carbon waste w Output, in tons (t); Carbon waste w The carbon content of a substance in tons of carbon per ton (tCt).

[0099] For carbon emissions from wastewater generated during the production process, the emission factor method should be used for calculation, see the following formula (2-7): Formula (2-7) Where: is the carbon emission of wastewater, expressed in tons of carbon dioxide equivalent (tCO2e); is the amount of wastewater generated, in cubic meters (Nm3); is the emission factor for wastewater treatment, expressed in tons of carbon dioxide equivalent per cubic meter (tCO2e / Nm3).

[0100] In one embodiment, during the transportation stage of green methanol, each single type of the carbon emission reduction sub-model uses the following formula (3-1) or formula (3-2) to calculate carbon emissions: Formula (3-1) is the carbon emissions in the transport stage, expressed in tons of carbon dioxide equivalent per ton of dry weight (tCO2e / t); is the number of trips required for transport, dimensionless; is the load transportation distance in kilometers (km); is the transport mode load fuel efficiency in liters per kilometer (L / km); is the empty transport distance of the material, in kilometers (km); is the unloaded fuel efficiency of the transport mode, in liters per kilometer (L / km); is the fuel emission factor corresponding to the transport fuel, expressed in tons of carbon dioxide equivalent per liter (tCO2e / L); is the transport dry weight in tons (t); Formula (3-2) is the carbon emissions in the transport stage, expressed in tons of carbon dioxide equivalent per ton of dry weight (tCO2e / t); It is the transport wet weight in tons (t); is the transport distance in kilometers (km); is the transport thermal efficiency, expressed in megajoules per ton-kilometer (MJ / tkm); is the fuel emission factor corresponding to transport fuels, expressed in tons of carbon dioxide equivalent per megajoule (tCO2e / MJ); It is the transport dry weight in tons (t).

[0101] In this embodiment, the above two calculation methods can be used for calculation. If the material transportation involves different types, the emissions of different transportation types are calculated in the intermodal route and then added up to obtain the final result.

[0102] In one embodiment, during the use phase of green methanol, each single type of carbon emission reduction sub-model uses the following formula (4) to calculate carbon emissions: Formula (4) is the carbon emissions during the methanol use phase, expressed in tons of carbon dioxide equivalent per ton of methanol (tCO2e / t methanol); is the proportion of fossil sources of carbon elements in methanol products, unit: %; It is the emission factor for methanol oxidation decomposition. It assumes that all carbon in the methanol product is oxidized into carbon dioxide, and the value is 1.375tCO2e / t methanol.

[0103] In this embodiment, the formula (4) provided is used to calculate the carbon emissions of green methanol in the process of direct use D1 in the use phase. The carbon emissions of green methanol in other more application fields using indirect use D2 and partly direct and partly indirect use D3 can be calculated according to other formulas.

[0104] The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in the present application provides calculation formulas for the carbon emissions in each process (such as Formula 1-Formula 4), adopts a unified calculation formula, forms a unified data processing, and performs sorting or comparison to facilitate data statistics, while also ensuring the authenticity and reliability of the data results.

[0105] In one embodiment, when providing the user with an actual executable solution, the carbon emission of the actual executable solution is converted into an emission reduction value by the following formula (5); Alternatively, when providing the first practical executable plan, the second practical executable plan, the third practical executable plan, and the fourth practical executable plan to the user, the carbon emissions of the practical executable plan are converted into emission reduction values ​​by the following formula (5). The emission reduction value is a percentage and can be calculated by the following formula: Formula (5) is the emission reduction value of the executable plan; is the international standard carbon emissions. The current international standard carbon emissions is 94gCO2e / MJ; E is the carbon emissions of the executable plan.

[0106] In this embodiment, the user can select a specific executable plan for implementation according to the emission reduction value, wherein the executable plan with a larger emission reduction value and a smaller comprehensive cost is better.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials, characterized in that: include: S10, providing a carbon emission reduction model for preparing green methanol from biomass raw materials, wherein the carbon emission reduction model for preparing green methanol from biomass raw materials includes a plurality of carbon emission reduction sub-models, and each single type of carbon emission reduction sub-model is established based on the carbon emissions of each single type of biomass raw material in the whole life cycle from raw material acquisition to green methanol use; the whole life cycle includes raw material acquisition stage, production stage, transportation stage and use stage; S20, providing the user with the following options: A biomass raw material, B production and processing method, C transportation method, and D green methanol usage method in the use phase, where A, B, C, and D are all positive integers; S30, selecting at least two biomass raw materials as the first type of mixed biomass according to the first preset condition, forming A1 type of first type executable scheme; wherein the proportion of each type of biomass in the first type of mixed biomass is the same, and the first preset condition includes the calorific value and moisture content of the raw materials in the raw material acquisition stage; A1 is the amount of mixed biomass formed by at least two biomass raw materials in the A type of biomass raw materials, and A1 is a positive integer; Calculate and record the carbon emissions of each of the first type of executable solutions in the raw material acquisition stage to ; S40, forming A1×B second-type executable solutions based on the first-type executable solutions according to each of the B production processing methods; Calculate and record the carbon emissions of each of the second category of feasible solutions during the production phase to ; S50, forming A1×B×C third-type executable plans based on the second-type executable plans according to each of the C modes of transportation; Calculate and record the carbon emissions during the transportation phase for each of the third-category feasible options to ; S60, based on the third type of executable scheme, a fourth type of executable scheme is formed according to the use mode of green methanol in the use stage; according to the different use modes of green methanol in the use stage, the fourth type of executable scheme is divided into three major categories: direct use D1, indirect use D2 and partly direct and partly indirect use D3; the number of the fourth type of executable scheme is at most A1×B×C×3; In the direct use, calculate the carbon emissions during methanol combustion ; In the indirect use, calculate the carbon emissions from the entire process of production, use and recovery of methanol extension products. ; Calculate the carbon emissions from methanol combustion in both direct and indirect uses Carbon emissions from the production, use and recycling of methanol and its extended products ; S70, calculates the total carbon emissions over the entire life cycle according to the three major usage modes of green methanol in the use phase: When green methanol is used directly, the total carbon emissions over its entire life cycle are + + + ; When green methanol is used indirectly, the total carbon emissions over the entire life cycle are + + + ; When green methanol is used partly directly and partly indirectly, the total carbon emissions over the entire life cycle are + + + + ; Wherein, i, j, k are all positive integers, 1≤i≤A1, 1≤j≤B, 1≤k≤C; S80, select an executable solution with a lower total carbon emission in the whole life cycle as the actual executable solution for mixed biomass for the user to choose; The S80 includes: S81, select N executable plans with the lowest total carbon emissions over the entire life cycle as the nth preliminary execution plan, where N and n are both positive integers, and n≤N<A1×B×C; S82, adjusting the proportion of different types of biomass raw materials in the mixed biomass in the nth preliminary execution plan; S83, calculating the carbon emissions of the nth prepared execution plan under different proportions, and selecting the prepared execution plan with the smallest carbon emissions as the nth actual executable plan for the user to select.

2. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 1 is characterized in that: Prior to S81, it also included: S801, respectively set the weights of carbon emissions generated at each stage in the entire life cycle of green methanol, with the weight of carbon emissions generated at the raw material acquisition stage being W1, the weight of carbon emissions generated at the production stage being W2, the weight of carbon emissions generated at the transportation stage being W3, and the weight of carbon emissions generated at the use stage being W4; S802, multiply the carbon emissions of each stage in all the fourth type of executable solutions by the corresponding weights, and then add them up to form the total carbon emissions of the whole life cycle after the secondary calculation; wherein, When green methanol is used directly, the total carbon emissions over its entire life cycle after secondary calculation is + + + ; When green methanol is used indirectly, the total carbon emissions over the entire life cycle after secondary calculation are + + + ; When green methanol is used partly directly and partly indirectly, the total carbon emissions over the entire life cycle after secondary calculation are: + + + + ; S803, according to the total carbon emissions of the entire life cycle after the secondary calculation, multiple practical executable solutions are selected for the user to choose.

3. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 2 is characterized in that: Also includes: S90, respectively calculating the comprehensive cost of each of the actually executable solutions, and taking the actually executable solution with the lowest comprehensive cost as the final execution solution.

4. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 3 is characterized in that: Each single type of the carbon emission reduction sub-model is constructed by means of early data collection and later real-time data expansion; and the data types in each single type of the carbon emission reduction sub-model include: primary data and secondary data.

5. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 4 is characterized in that: The following formula (1) is used to calculate the carbon emissions of each feasible solution over the entire life cycle from raw material acquisition to green methanol use: Formula (1) Refers to the carbon emissions generated during the raw material acquisition stage. Refers to the carbon emissions generated during the green methanol production stage. Refers to the carbon emissions generated during the transportation of green methanol. Refers to the carbon emissions generated during the green methanol stage; , , , , The units are tonnes of carbon dioxide equivalent per tonne of methanol.

6. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 5 is characterized in that: In the raw material acquisition stage, each single type of the carbon emission reduction sub-model includes: a main production process unit and a raw material extraction unit; The carbon emission of biomass raw materials in the main production process unit is 0; the carbon emission of biomass raw materials in the raw material extraction unit is the sum of the carbon emissions generated in the process of planting biomass, collecting biomass, capturing biomass and purifying biomass.

7. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 6 is characterized in that: In the production stage of green methanol, each single type of carbon emission reduction sub-model uses the following formula (2) to calculate carbon emissions: Formula (2) in, Carbon emissions for electricity consumption; Carbon emissions for heat consumption; Input carbon emissions for others; Carbon emissions for wastewater consumption; , , , The units are all tons of carbon dioxide equivalent; It is the dry weight of process raw materials or products in tons.

8. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 5, characterized in that: In the transportation stage of green methanol, each single type of carbon emission reduction sub-model uses the following formula (3-1) or formula (3-2) to calculate carbon emissions: Formula (3-1) is the carbon emissions in the transport stage, expressed in tons of carbon dioxide equivalent per ton of dry weight (tCO2e / t); is the number of trips required for transport, dimensionless; is the load transportation distance in kilometers; is the transport mode load fuel efficiency in liters per kilometer; is the empty transport distance of the material, in kilometers; is the unloaded fuel efficiency of the transport mode, in litres per kilometre; is the fuel emission factor corresponding to transport fuels, expressed in tons of carbon dioxide equivalent per liter; is the transport dry weight in tons; Formula (3-2) is the carbon emission in the transport stage, expressed in tons of carbon dioxide equivalent per ton of dry weight; It is the wet weight for transportation, in tons; is the transport distance in kilometers; is the transport thermal efficiency, expressed in megajoules per ton-kilometer; is the fuel emission factor corresponding to transport fuels, expressed in tonnes of carbon dioxide equivalent per megajoule; It is the transport dry weight in tons.

9. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 5, characterized in that: During the use phase of green methanol, each single type of carbon emission reduction sub-model uses the following formula (4) to calculate carbon emissions: Formula (4) is the carbon emissions during the methanol use phase, expressed in tons of carbon dioxide equivalent per ton of methanol; is the proportion of fossil sources of carbon elements in methanol products, unit: %; It is the emission factor for methanol oxidation decomposition, assuming that all carbon elements in the methanol product are oxidized into carbon dioxide.

10. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials according to claim 1, characterized in that: When providing users with an actual executable plan, the carbon emissions of the actual executable plan are converted into emission reduction values ​​using the following formula (5); Alternatively, when providing the first practical executable plan, the second practical executable plan, the third practical executable plan, and the fourth practical executable plan to the user, the carbon emissions of the practical executable plans are converted into emission reduction values ​​by the following formula (5); Formula (5) is the emission reduction value of the executable plan; is the international standard carbon emission; E is the carbon emission of the executable plan.

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