Carbon Emission Reduction Optimization Method for Preparing Green Methanol from Mixed Biomass Raw Materials

Abstract

The present invention provides a carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials, including: providing a carbon emission reduction model for preparing green methanol from a single type of biomass raw material, and providing options for users to choose from: type A biomass raw material, type B production and treatment method, type C transportation method, and type D recovery method during the use stage of green methanol. Multiple executable solutions are formed according to the raw material acquisition stage, production stage, transportation stage, and use stage, and the total carbon emissions in the whole life cycle of multiple executable solutions are calculated respectively. The executable solution with a lower total carbon emissions in the whole life cycle is selected as the actual executable solution for the mixed biomass for the user to choose. On the premise of meeting the user's needs, it helps the user select the executable solution of the mixable biomass with the least carbon emissions, avoiding multiple attempts in actual operation, saving time and cost, and reducing carbon emissions.

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] With the increasing global demand for sustainable energy, biomass energy, as a renewable resource, has received extensive attention. Biomass raw materials, such as agricultural and forestry waste, urban organic garbage, etc., are regarded as important alternatives to traditional fossil fuels due to their low carbon emissions and environmental friendliness. In the prior art, preparing methanol from biomass raw materials is an effective energy conversion method, but this process is usually accompanied by relatively high carbon emissions, causing certain pressure on the environment.

[0003] The specific process of preparing methanol from biomass usually includes multiple links such as raw material pretreatment, gasification, syngas purification, and methanol synthesis. In this process, in order to improve the methanol yield, a large amount of energy is often consumed, resulting in relatively high carbon emissions. In addition, due to the complex and non-uniform composition of biomass raw materials, this also increases the difficulty of process control and further affects the control of carbon emission levels.

[0004] Therefore, in the context of the prior art, how to mix different types of biomass raw materials, optimize the preparation process, and reduce carbon emissions 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 of the mixable biomass with the least carbon emissions on the premise of meeting user needs, avoiding multiple attempts in actual operation, saving time and cost, and reducing carbon emissions.

[0006] A carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials includes:

[0007] S10, providing a carbon emission reduction model for preparing green methanol from biomass raw materials, the carbon emission reduction model for preparing green methanol from biomass raw materials includes multiple carbon emission reduction sub-models, and establishing each of the carbon emission reduction sub-models based on the carbon emissions of the whole life cycle from raw material acquisition to green methanol use for each single type of biomass raw material; the whole life cycle includes a raw material acquisition stage, a production stage, a transportation stage, and a use stage;

[0008] S20, providing for the user to select: A types of biomass raw materials, B types of production and treatment methods, C types of transportation methods, D types of use methods of green methanol in the use stage, where A, B, C, and D are all positive integers;

[0009] S30, Select at least two types of biomass raw materials as the first type of mixed biomass according to the first preset condition, forming A1 types of first type executable solutions; wherein, the proportion of each 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 number of mixed biomass formed by at least two types of biomass raw materials among A types of biomass raw materials, and A1 is a positive integer;

[0010] Calculate and record the carbon emissions in the raw material acquisition stage for each of the first type executable solutions To ;

[0011] S40, On the basis of the first type executable solutions, form A1×B types of second type executable solutions respectively according to each of the B production and treatment methods;

[0012] Calculate and record the carbon emissions in the production stage for each of the second type executable solutions To ;

[0013] S50, On the basis of the second type executable solutions, form A1×B×C types of third type executable solutions respectively according to each of the C transportation methods;

[0014] Calculate and record the carbon emissions in the transportation stage for each of the third type executable solutions To ;

[0015] S60, On the basis of the third type executable solutions, form the fourth type executable solutions according to the usage method of green methanol in the usage stage; Divide them into three major categories according to different usage methods of green methanol in the usage stage: direct use D1, indirect use D2, and partial direct and partial indirect use D3; The maximum number of the fourth type executable solutions is A1×B×C×3 types;

[0016] In the direct use, calculate the carbon emissions during the methanol combustion process ;

[0017] In the indirect use, calculate the carbon emissions during the whole process of production, use, and recycling of methanol extended products ;

[0018] In the partial direct and partial indirect use, calculate the carbon emissions during the methanol combustion process And the carbon emissions during the whole process of production, use, and recycling of methanol extended products ;

[0019] S70. Calculate the total carbon emissions of the whole life cycle respectively according to the three major usage methods of green methanol in the usage stage:

[0020] When green methanol is directly used, the total carbon emissions of the whole life cycle are + + + ;

[0021] When green methanol is indirectly used, the total carbon emissions of the whole life cycle are + + + ;

[0022] When green methanol is partially directly and partially indirectly used, the total carbon emissions of the whole life cycle are + + + + ;

[0023] Among them, i, j, and k are all positive integers, 1 ≤ i ≤ A1, 1 ≤ j ≤ B, 1 ≤ k ≤ C;

[0024] S80. Select the executable solution with lower total carbon emissions of the whole life cycle as the actual executable solution of the mixed biomass for users to choose;

[0025] Among them, S80 includes:

[0026] S81. Select N executable solutions with the lowest total carbon emissions of the whole life cycle as the nth preliminary executable solution respectively. Both N and n are positive integers, and n ≤ N < A1 × B × C;

[0027] S82. Adjust the proportion of different biomass raw materials in the mixed biomass of the nth preliminary executable solution;

[0028] S83. Calculate the carbon emissions of the nth preliminary executable solution under different proportions, and select the preliminary executable solution with the smallest carbon emissions as the nth actual executable solution for users to choose.

[0029] In one embodiment, before S81, it further includes:

[0030] S801. Set the weights of the carbon emissions generated in each stage of the whole life cycle of green methanol respectively. The weight of the carbon emissions generated in the raw material acquisition stage is W1, the weight of the carbon emissions generated in the production stage is W2, the weight of the carbon emissions generated in the transportation stage is W3, and the weight of the carbon emissions generated in the usage stage is W4;

[0031] S802. Multiply the carbon emissions of each stage in all the fourth - type executable solutions by the corresponding weights respectively, and then sum them up to form the total carbon emissions of the whole life cycle after the secondary operation; where,

[0032] When green methanol is directly used, the total carbon emissions of the whole life cycle after the secondary operation is + + + ;

[0033] When green methanol is indirectly used, the total carbon emissions of the whole life cycle after the secondary operation is + + + ;

[0034] When green methanol is partially directly and partially indirectly used, the total carbon emissions of the whole life cycle after the secondary operation is + + + + ;

[0035] S803. According to the total carbon emissions of the whole life cycle after the secondary operation, select multiple actual executable solutions for the user to choose.

[0036] In one embodiment, the carbon emission reduction optimization method for preparing green methanol from the mixed biomass raw materials further includes:

[0037] S90. Calculate the comprehensive cost in each of the actual executable solutions respectively, and take the actual executable solution with the lowest comprehensive cost as the final execution solution.

[0038] In one embodiment, each single - type carbon emission reduction sub - model is constructed by means of pre - period data collection and post - period real - time data expansion; and, the data types in each single - type carbon emission reduction sub - model include: primary data and secondary data.

[0039] In one embodiment, the following formula (1) is used to calculate the carbon emissions of the whole life cycle from raw material acquisition to green methanol use in each executable solution:

[0040] Formula (1)

[0041] refers to the carbon emissions generated in the raw material acquisition stage, refers to the carbon emissions generated in the green methanol production stage, refers to the carbon emissions generated in the green methanol transportation stage, Refers to the carbon emissions generated during the green methanol stage; , , , , The unit of , , , , is tons of carbon dioxide equivalent per ton of methanol.

[0042] In one embodiment, during 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;

[0043] The carbon emissions of biomass raw materials in the main production process unit are 0; the carbon emissions of biomass raw materials in the raw material extraction unit are the sum of the carbon emissions generated during the processes of planting biomass, collecting biomass, capturing biomass, and purifying biomass.

[0044] In one embodiment, during the production stage of green methanol, each single type of the carbon emission reduction sub-model calculates the carbon emissions using the following formula (2):

[0045] ; Formula (2)

[0046] Where, is the carbon emissions from electricity consumption; is the carbon emissions from heat consumption; is the carbon emissions from other inputs; is the carbon emissions from wastewater consumption; , , , The units of , , , , are all tons of carbon dioxide equivalent; is the dry weight of the process raw materials or products, with the unit of tons.

[0047] In one embodiment, during the transportation stage of green methanol, each single type of the carbon emission reduction sub-model calculates the carbon emissions using the following formula (3-1) or formula (3-2):

[0048] Formula (3-1)

[0049] is the carbon emissions during the transportation stage, with the unit of tons of carbon dioxide equivalent per ton of dry weight (tCO2e / t);

[0050] is the number of transportation times required for transportation, dimensionless;

[0051] is the loaded transportation distance, with the unit of kilometers;

[0052] is the loaded fuel efficiency of the transportation mode, with the unit of liters per kilometer;

[0053] is the no-load transportation distance of the substance, in kilometers;

[0054] is the no-load fuel efficiency of the transportation mode, in liters per kilometer;

[0055] is the fuel emission factor corresponding to the transportation fuel, in tons of carbon dioxide equivalent per liter;

[0056] is the dry weight of transportation, in tons;

[0057] Formula (3-2)

[0058] is the carbon emission during the transportation stage, in tons of carbon dioxide equivalent per ton of dry weight;

[0059] is the wet weight of transportation, in tons;

[0060] is the transportation distance, in kilometers;

[0061] is the transportation thermal efficiency, in megajoules per ton-kilometer;

[0062] is the fuel emission factor corresponding to the transportation fuel, in tons of carbon dioxide equivalent per megajoule;

[0063] is the dry weight of transportation, in tons.

[0064] In one embodiment, during the usage stage of green methanol, each single type of the carbon emission reduction sub-model calculates the carbon emission using the following formula (4):

[0065] Formula (4)

[0066] is the carbon emission during the methanol usage stage, in tons of carbon dioxide equivalent per ton of methanol;

[0067] is the proportion of the fossil source of carbon elements in the methanol product, in %;

[0068] is the methanol oxidation decomposition emission factor, assuming that all carbon elements in the methanol product are oxidized to carbon dioxide.

[0069] In one embodiment, when providing the user with an actual executable solution, the carbon emissions of the actual executable solution are converted into emission reduction values through the following formula (5);

[0070] Alternatively, when providing the user with the first actual executable solution, the second actual executable solution, the third actual executable solution, and the fourth actual executable solution, the carbon emissions of the actual executable solution are converted into emission reduction values through the following formula (5);

[0071] Formula (5)

[0072] is the emission reduction value of the executable solution; is the international standard carbon emission; E is the carbon emission of the executable solution.

[0073] The present invention has at least the following advantages or beneficial effects:

[0074] 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 the user select the executable solution of the mixable biomass with the least carbon emissions on the premise of meeting the user's needs, avoiding multiple attempts in actual operation, saving time and cost, 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 the actual user needs and gives the most reasonable suggestions with the lowest carbon emissions in the whole life cycle of preparing green methanol from mixed biomass raw materials, providing a sufficient practical basis for the user's decision-making. In this embodiment, the different usage methods of green methanol in the usage stage can be sorted respectively, and then suggestions can be given to the user in the order of increasing total carbon emissions.

[0075] 2. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in another embodiment of the present application can draw a curve of "the proportion of different biomass raw materials in the mixed biomass raw materials - carbon emissions" when adjusting the proportion of each preliminary execution plan, and select the proportion of different biomass raw materials corresponding to the point with the lowest carbon emissions on the curve as the optimal proportion, and suggest to the customer as the actual executable solution. In this embodiment, from N executable solutions, the proportion of different biomass raw materials in the mixed biomass raw materials is further adjusted to provide a more optimized actual executable solution for the user.

[0076] 3. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in still another embodiment of the present application can make personalized selections for users according to the comprehensive cost, ensuring economic benefits on the premise of the lowest carbon emissions. For example, further calculate the cost of each executable solution in the whole life cycle from raw material acquisition to green methanol usage, and select the executable solution with low carbon emissions and low cost as the actual executable solution.

[0077] 4. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided by another embodiment of the present application. When constructing each single type of the carbon emission reduction sub-model, the preliminary data collection is a huge data system of different data types collected during the preliminary preparation process, while the later real-time data expansion is an auxiliary data system formed to supplement the applicable range of the data expansion model and adjust the model accuracy. The carbon emission reduction model for preparing green methanol from this 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 (with a purity of 100%).

[0078] 5. The carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided by the present application also provides a calculation method for carbon emissions in each process. By adopting a unified calculation method, unified data processing is formed, which is convenient for data statistics through sorting or comparison, and can also ensure the authenticity and reliability of the data results.

[0079] 6. For the carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided by the present application, users can select specific executable solutions for implementation according to the size of the emission reduction value. Among them, the executable solution with a larger emission reduction value and a smaller comprehensive cost is better. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0081] Figure 1 It is a schematic flow chart of the steps of the carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided by the embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0082] To make the objectives, 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 some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and illustrated in the drawings here can be arranged and designed in various different configurations.

[0083] Accordingly, 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 claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0084] It should be noted that like reference numerals and letters denote like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

[0085] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the inventive product is customarily placed during use. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present invention. In addition, the terms "first", "second", "third", etc. are only used for descriptive distinction and should not be construed as indicating or implying relative importance.

[0086] In addition, terms such as "horizontal" and "vertical" do not mean that the components are required to be absolutely horizontal or hanging, but may be slightly inclined. For example, "horizontal" only means that its direction is more horizontal relative to "vertical", and does not mean that the structure must be completely horizontal, but may be slightly inclined.

[0087] In the description of the present invention, it should also be noted that unless otherwise clearly defined and limited, the terms "set", "installed", "connected", "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0088] The preparation of methanol from biomass raw materials is a process that converts renewable biomass resources into methanol, with high economic and environmental benefits. Since biomass raw materials are complex and heterogeneous in composition, this also increases the difficulty of process control and further affects the control of carbon emission levels. Therefore, in the context of the existing technology, how to mix different types of biomass raw materials, optimize the preparation process, and reduce carbon emissions has become an urgent problem to be solved. This application provides an optimized carbon emission reduction method for preparing green methanol from mixed biomass raw materials, aiming to help users select an executable solution of mixable biomass with the least carbon emissions on the premise of meeting user requirements, avoiding multiple attempts in actual operations, saving time and costs, and reducing carbon emissions.

[0089] Biomass includes: organic matter (living and dead), such as trees, crops, grass, tree and, litter, algae, animals, manure, and biogenic waste. Specifically, the biomass available in the real environment includes: straw (such as: corn straw, wheat straw, rice straw, legume straw), corn cob cores, municipal pruning, fruit tree pruning, forest waste, nut shells, food waste, livestock and poultry manure, etc.

[0090] Please refer to Figure 1 , this application provides an optimized carbon emission reduction method for preparing green methanol from mixed biomass raw materials, which includes:

[0091] S10. Provide a carbon emission reduction model for preparing green methanol from biomass raw materials (as shown in Table 1). The carbon emission reduction model for preparing green methanol from biomass raw materials includes multiple carbon emission reduction sub-models. Each of the single-type carbon emission reduction sub-models is established based on the carbon emissions of the whole life cycle of each single-type biomass raw material from raw material acquisition to green methanol use. The whole life cycle includes the raw material acquisition stage, the production stage, the transportation stage, and the use stage.

[0092] Among them, the raw material acquisition stage refers to the production of the main raw materials and other raw and auxiliary materials for methanol production. These raw materials are produced outside the legal person boundary of the methanol production entity. For example, the direct air capture or industrial tail gas capture process of carbon dioxide, 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, purification, and pretreatment stages of the above raw materials. In one embodiment, the raw material acquisition stage of a biomass raw material, corn cob core, includes the following steps:

[0093] (1) Collect corn cob cores: Corn cob cores are the remaining corn cob cores after corn threshing, or the corn cobs. After harvesting corn, the corn cob cores can be collected.

[0094] (2) Drying treatment: The collected corn cob cores need to be dried for easy storage and subsequent processing. Natural drying or the use of drying equipment can be chosen for drying.

[0095] (3) Crushing processing: The dried corn cob cores can be processed using a crusher with an appropriate sieve hole diameter to obtain corn cob particles of different sizes. For example, the corn cob cores processed using a crusher with a sieve hole diameter of 20 to 16 mm can be used for Pleurotus ostreatus cultivation; those crushed with a sieve hole diameter of 10 mm can be used for the cultivation of mushrooms such as Flammulina velutipes.

[0096] (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 packed or briquetted.

[0097] The production stage refers to all the processes covered in methanol production, excluding in-plant personnel and living facilities. For example, in the direct synthesis route for producing methanol, carbon dioxide and hydrogen are directly synthesized through gas compression, catalytic reaction, and the rectification process of crude methanol; in the biomass syngas route for producing methanol, biomass pyrolysis or gasification decomposition, crude syngas conversion, purification (decarbonization, desulfurization), compression, synthesis, and the rectification process of crude methanol, etc.

[0098] The transportation stage refers to the process of transporting raw materials, auxiliary materials, and products among various main body positions in the methanol life cycle. The use stage refers to the process of burning methanol products at the consumption end or the final oxidative decomposition of its extended chemical products.

[0099] Table 1: Carbon emission reduction model for preparing green methanol from biomass raw materials

[0100]

[0101] S20, provide options for users: Type A biomass raw materials, Type B production treatment methods, Type C transportation methods, and Type D recovery methods during the use stage of green methanol. For example, in Example 1, users can provide 3 types of biomass raw materials, 2 types of production treatment methods, 2 types of transportation methods, and 1 type of recovery method during the use stage of green methanol.

[0102] S30, select at least two types of biomass raw materials as the first type of mixed biomass according to the first preset condition to form multiple (such as A1 types) first type of executable solutions. Among them, the proportion of each 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 a high moisture content requires additional heat for drying during combustion, resulting in an increase in coal consumption and thus an increase in carbon dioxide emissions.

[0103] 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 of executable solutions can be formed (respectively: the first type of mixed biomass is formed by raw material 1 and raw material 2 each accounting for 50%, the first type of mixed biomass is formed by raw material 1 and raw material 3 each accounting for 50%, the first type of mixed biomass is formed by raw material 2 and raw material 3 each accounting for 50%, and the first type of mixed biomass is formed by raw material 1, raw material 2, and raw material 3 each accounting for 33.3%). 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.

[0104] In one embodiment, the first preset condition may further include: the economic cost of the raw materials (such as raw material acquisition cost, raw material production cost, raw material transportation cost), the availability of the raw materials (such as single-point acquisition or multi-point acquisition of the raw materials, whether the raw materials need pretreatment and chemical treatment), the maturity of the raw material treatment technology (technologies for treating raw materials such as sorting, filtering, precipitation, degumming, etc.), operating expenses, energy demand structure, and so on.

[0105] According to the calculation formula of the carbon emissions in the whole life cycle from raw material acquisition to the use of green methanol, calculate the carbon emissions in the raw material acquisition stage for each of the first type of executable solutions. Record the calculation results of the carbon emissions in the raw material acquisition stage for multiple first type of executable solutions to . For example, in the above-mentioned Embodiment 1, calculate and record the carbon emissions of 4 first type of executable solutions as follows: , , , .

[0106] S40, on the basis of the first type of executable solutions, form multiple (A1 × B types) second type of executable solutions respectively according to each of the B production and treatment methods.

[0107] According to the calculation formula of the carbon emissions in the whole life cycle from raw material acquisition to the use of green methanol, calculate the carbon emissions in the production stage for each of the second type of executable solutions, and record the calculation results of the carbon emissions in the production stage for multiple second type of executable solutions to . For example, in the above-mentioned Embodiment 1, calculate and record the carbon emissions corresponding to B = 2 production and treatment methods as follows: , . The carbon emissions in the production stage include: power consumption, heat consumption, other inputs, wastewater consumption, etc.

[0108] S50. Based on the second type of executable solutions, form A1×B×C types of third - type executable solutions according to each of the C transportation methods. Calculate and record the carbon emissions during the transportation stage for each of the third - type executable solutions. to . For example, in the above - mentioned Example 1, calculate and record the carbon emissions corresponding to C = 2 transportation methods as follows: 、 .

[0109] S60. Based on the third - type executable solutions, form the fourth - type executable solutions according to the usage methods of green methanol during the usage stage; divide them into three major categories according to different usage methods of green methanol during the usage stage: direct use D1, indirect use D2, and partial direct and partial indirect use D3. The maximum number of the fourth - type executable solutions is A1×B×C×3 types.

[0110] During the direct use, calculate the carbon emissions during the methanol combustion process. . During the indirect use, calculate the carbon emissions throughout the whole process of production, use, and recycling of methanol extended products. . During the partial direct and partial indirect use, calculate the carbon emissions during the methanol combustion process and the carbon emissions throughout the whole process of production, use, and recycling of methanol extended products . Among them, when the usage method of green methanol during the usage stage is partial direct and partial indirect use, the usage ratio is provided by the user.

[0111] In this step, there can be many application fields of green methanol involved. For example, as fuel in the transportation field; as chemical raw materials, synthetic fibers or plastic production in the industrial field; as an energy storage medium in the energy field; as power generation fuel in the power generation field; as drug synthesis in the biomedical field; as the manufacture of detergents and antifreeze agents in the daily necessities field.

[0112] S70. Calculate the total carbon emissions of the whole life cycle according to the three major usage methods of green methanol during the usage stage:

[0113] When green methanol is directly used, the total carbon emissions of the whole life cycle are + + + ;

[0114] When green methanol is indirectly used, the total carbon emissions of the whole life cycle are + + + ;

[0115] When green methanol is partially directly and partially indirectly used, the total carbon emissions throughout the life cycle are + + + + ;

[0116] Among them, i, j, and k are all positive integers, 1 ≤ i ≤ A1, 1 ≤ j ≤ B, 1 ≤ k ≤ C.

[0117] For S80, select the executable solution with a lower total carbon emissions throughout the life cycle as the actual executable solution for the mixed biomass for users to choose. For example, the executable solutions with the total carbon emissions throughout the life cycle ranked in the top 5% - top 25% can be selected as the actual executable solutions for the mixed biomass for users to choose.

[0118] In this embodiment, on the premise of meeting the user's needs, help the user select the executable solution of the mixable biomass with the least carbon emissions, avoiding multiple attempts in actual operation, saving time and cost, and reducing carbon emissions. In the above embodiment, fully combining the actual user needs, the lowest and most reasonable suggestions for carbon emissions in the whole life cycle of preparing green methanol using mixed biomass raw materials are given, providing a sufficient practical basis for the user's decision-making.

[0119] Example 2:

[0120] As shown in Tables 2 - 6 below, the single biomass raw materials include: straw, corn cob cores, pruning, forest waste, food waste, livestock and poultry manure, etc. The A kinds of biomass raw materials provided by the user: wheat straw, municipal pruning, food waste. What the user can choose: A = 3 kinds of biomass raw materials (A1 = 4), B = 3 kinds of production and treatment methods, C = 2 kinds of transportation methods, D = 1 kind of usage method of green methanol in the usage stage.

[0121] Table 2: Schematic table of carbon emissions generated in the raw material acquisition stage in Example 2

[0122]

[0123] The above Table 2 shows 3 kinds of biomass raw materials provided by the user. According to the first preset condition, at least two kinds of biomass raw materials are selected as the first type of mixed biomass to form 4 kinds of first type of executable solutions, and the carbon emissions generated in the raw material acquisition stage are calculated.

[0124] Table 3: Schematic table of carbon emissions generated in the production stage in Example 2

[0125]

[0126] Table 3 above shows three production processing methods provided by the user. According to the energy consumption during the production of green methanol, the carbon emissions generated during the production stage are calculated.

[0127] Table 4: Schematic table of carbon emissions generated during the transportation stage in Example 2

[0128]

[0129] Table 4 above shows two transportation methods provided by the user. According to the transportation distance and fuel combustion efficiency during the transportation of green methanol, the carbon emissions generated during the transportation stage are calculated.

[0130] Table 5: Schematic table of carbon emissions generated during the usage stage in Example 2

[0131]

[0132] Table 5 above shows one green methanol recovery method provided by the user, and calculates the carbon emissions generated during the combustion of green methanol.

[0133] Table 6: Schematic table of the total carbon emissions of all executable solutions in Example 2

[0134]

[0135] Table 6 above shows four types of the first executable solutions (mixed biomass raw materials), three production processing methods, two transportation methods, and one usage method of green methanol during the usage stage provided by the user, the carbon emissions of each stage, the total number of all executable solutions is 24, and the total carbon emissions of all executable solutions. Select the solutions with lower carbon emissions from the 24 executable solutions as the actual executable solutions. Subsequently, the user can further add the costs of each stage to select specific implementation solutions, thereby ensuring economic benefits on the premise of the lowest carbon emissions.

[0136] In one embodiment, the carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials further includes:

[0137] S81, select N executable solutions with the lowest total carbon emissions in the whole life cycle as the nth preliminary executable solution respectively, where N and n are both positive integers, and n ≤ N < A1 × B × C.

[0138] S82, adjust the proportion of different biomass raw materials in the mixed biomass in the nth preliminary executable solution.

[0139] S83, calculate the carbon emissions of the nth preliminary executable solution under different proportions, and select the preliminary executable solution with the lowest carbon emissions as the nth actual executable solution for the user to choose.

[0140] In this embodiment, when performing proportional adjustment for each preliminary execution plan, a curve of "proportion of different types of biomass raw materials in the mixed biomass raw materials - carbon emission" can be plotted, and the proportion of different types of biomass raw materials corresponding to the point with the lowest carbon emission on the curve is selected as the optimal proportion, and it is recommended to the customer as an actual executable plan. In this embodiment, from N executable plans, the proportion of different types of biomass raw materials in the mixed biomass raw materials is further adjusted to provide a more optimized actual executable plan for the user.

[0141] In one embodiment, the carbon emission reduction optimization method for preparing green methanol from the mixed biomass raw materials further includes:

[0142] S90, calculate the comprehensive cost of each of the actual executable plans respectively, and use the actual executable plan with the lowest comprehensive cost as the final execution plan.

[0143] In this embodiment, user personalization is selected according to the comprehensive cost, ensuring economic benefits on the premise of the lowest carbon emission. For example, further calculate the cost of each executable plan in the whole life cycle from raw material acquisition to the use of green methanol, and select the executable plan with low carbon emission and low cost as the actual executable plan.

[0144] In one embodiment, each single-type carbon emission reduction sub-model is constructed by means of pre-data collection and post-real-time data expansion; and, the data types in each single-type carbon emission reduction sub-model include: primary data and secondary data.

[0145] The primary data includes the consumption of raw and auxiliary materials, energy consumption, pollutant emissions in the methanol production stage, the transportation distance of the corresponding transportation mode, etc., 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.

[0146] Secondary data includes industry average data, estimated values based on literature research, production data published by industry associations, government statistics data, literature data, engineering research and patents, and may also be based on financial data. It can be surrogate data generated by external expert evaluation. In addition, it can also come from third-party LCI databases, development resources, carbon footprint calculation values of supply chain products, etc.

[0147] In this embodiment, the pre-data collection is a huge data system of different data types collected in the pre-preparation process, and the post-real-time data expansion is an auxiliary data system formed to supplement the applicable range of the data expansion model and adjust the model accuracy. The carbon emission reduction model for preparing green methanol from this single-type 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 (with a purity of 100% after conversion).

[0148] In one embodiment, before S81, it further includes:

[0149] S801, respectively set the weights of the carbon emissions generated in each stage of the full life cycle of green methanol. The weight of the carbon emissions generated in the raw material acquisition stage is W1, the weight of the carbon emissions generated in the production stage is W2, the weight of the carbon emissions generated in the transportation stage is W3, and the weight of the carbon emissions generated in the use stage is W4;

[0150] S802, multiply the carbon emissions in each stage of all the fourth type of executable solutions by the corresponding weights, and then sum them up to form the total carbon emissions of the full life cycle after the secondary operation; wherein,

[0151] When green methanol is directly used, the total carbon emissions of the full life cycle after the secondary operation is + + + ;

[0152] When green methanol is indirectly used, the total carbon emissions of the full life cycle after the secondary operation is + + + ;

[0153] When green methanol is partially directly and partially indirectly used, the total carbon emissions of the full life cycle after the secondary operation is + + + + ;

[0154] S803, select a variety of actual executable solutions according to the total carbon emissions of the full life cycle after the secondary operation for the user to choose from.

[0155] In this embodiment, during the actual application process, based on the gap between the actual executable solution given above and the total actual carbon emissions obtained after the user adopts the actual executable solution, the screening method of the actual executable solution is further optimized. In this embodiment, considering that the carbon emissions can be reduced by reasonably adjusting the transportation process during the transportation stage, 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 usage stage can be adjusted according to different usage methods. In this embodiment, the weights of each stage can be set as W1:W2:W3:W4 = 4:4:1:1, or the weights of each stage can be set as W1:W2:W3:W4 = 5:3:1:1. In this embodiment, through the secondary screening by setting different weights for each stage, the executable solutions with truly less carbon emissions are selected. The executable solutions after the secondary screening are more suitable for the actual application scenarios.

[0156] In another embodiment, after "selecting multiple actual executable solutions according to the total carbon emissions of the entire life cycle after the secondary operation", S81 - S83 can be further executed to find the optimal ratio of different biomass raw materials of the mixed biomass.

[0157] In another embodiment, from all the fourth - type executable solutions obtained after S70 or after S83, the top 50% of the executable solutions with the least total carbon emissions in the entire life cycle are screened out (the first screening);

[0158] Multiply the carbon emissions of each stage in the top 50% of the executable solutions with the least total carbon emissions in the entire life cycle that have been screened out by the corresponding weights, and then sum them up to form the total carbon emissions in the entire life cycle after the secondary operation (the second screening).

[0159] In this embodiment, first, a rough screening is carried out (the first screening selects the top 50% of the executable solutions with the least total carbon emissions in the entire life cycle), and then a fine screening is carried out (the secondary operation: the second screening multiplies the carbon emissions of each stage by the corresponding weights and then sums them up to form the total carbon emissions in the entire life cycle after the secondary operation, and selects the executable solution with the least total carbon emissions in the entire life cycle after the secondary operation as the actual executable solution recommended to the user). This avoids a large amount of repeated calculations and does not deviate from the user - preset conditions. In addition, the setting of the weights (W1, W2, W3, W4) can be combined with factors such as the economic cost, raw material availability, technological maturity, operation cost, and energy demand structure within the entire life cycle of green methanol. In this embodiment, through the result of the first operation, a rough screening is carried out, and through the result of the second operation, a fine screening is carried out. On the premise of meeting the user's needs, it helps the user select the executable solution of the mixable biomass with the least carbon emissions, avoiding multiple attempts in actual operation, saving time and cost, and reducing carbon emissions.

[0160] Specifically, in the above-mentioned Embodiment 2, the available usage options for the user include: direct usage, indirect usage, and partial direct and partial indirect usage. There are three methods in total, and the final executable options are 24×3 types, as shown in Table 7 below.

[0161] Table 7: Schematic table of the number of all executable options in Embodiment 2

[0162]

[0163] Table 8: Schematic table of the total carbon emissions of all executable options in Embodiment 2

[0164]

[0165] The above Table 8 shows 4 types of first-class executable options (mixed biomass raw materials) provided by the user, 3 production and treatment methods, 2 transportation methods, and 3 usage methods of green methanol during the usage stage, the carbon emissions in each stage, the total number of all executable options is 24×3 in total, and the total carbon emissions of all executable options. In the embodiments of the present application, there are the following three recommendation strategies for the user: First, as shown in Table 8, provide the user with three types of actual executable options with relatively low total carbon emissions after secondary calculation according to the three different usage methods of green methanol during the usage stage; Second, as shown in Table 7, calculate the carbon emissions of green methanol throughout the life cycle according to the three different usage methods of green methanol during the usage stage, sort them respectively, and select the executable options with relatively low carbon emissions, and then perform secondary calculation again. According to the results of the secondary calculation, select the executable options with relatively low total carbon emissions from the three different usage methods of green methanol during the usage stage as the actual executable options and provide them to the user; Third, after the first or the second, it further includes adjusting the doping ratio of the mixed biomass raw materials from the selected executable options, and simulating the total carbon emissions under different doping ratios, and providing the simulated doping ratio and the actual executable options selected in the first or the second to the user. Subsequently, the user can further consider the costs in each stage to select a specific implementation plan, thereby ensuring economic benefits on the premise of the lowest carbon emissions.

[0166] In one embodiment, the following formula (1) is used to calculate the carbon emissions of each executable option from raw material acquisition to the usage of green methanol throughout the life cycle:

[0167] Formula (1)

[0168] refers to the carbon emissions generated by the biomass raw materials required to obtain 1 ton of green methanol product during the raw material acquisition stage, Refers to the carbon emissions generated during the production stage for every 1 ton of green methanol product produced. Refers to the carbon emissions generated during the transportation stage for every 1 ton of green methanol product transported. Refers to the carbon emissions generated for every 1 ton of green methanol product used; 、 、 、 、 The units of 2 are all tons of carbon dioxide equivalent per ton of methanol, tCO 2 e / t methanol.

[0169] In one embodiment, during 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. In the prior art, designs are made separately for biomass raw materials and industrial by-product raw materials. In this application, industrial by-product raw materials are not included, and only biomass raw materials are discussed.

[0170] The carbon emissions of biomass raw materials in the main production process unit are 0; the carbon emissions of biomass raw materials in the raw material extraction unit are the sum of the carbon emissions generated during the processes of planting biomass, collecting biomass, capturing biomass, and purifying biomass.

[0171] In this embodiment, the processes of planting, collecting, capturing, or purifying the main raw materials (biomass, carbon dioxide, carbon monoxide, hydrogen, etc.) before the green methanol production stage. The raw material acquisition stage is divided into a main production process unit and a raw material extraction unit, and calculations are carried out respectively with reference to the calculation method in (2). For biomass raw materials, this application specifically refers to biomass waste or residues (such as straw, wood chips), and the carbon emissions of its 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 raw material collection and purification cannot be ignored, and should be included in the carbon emissions of this raw material acquisition stage after carbon emission allocation according to the allocation principle, and finally form the carbon emissions of each raw material product, with the unit of tons of carbon emission equivalent per ton of dry weight (tCO2e / t). The allocation principle means that based on physical, economic, or other criteria, by dividing the input and output quantities of a process or product system between the analyzed product system and one or more other product systems, the multi-output process is divided into single-output unit processes. The input and output should be allocated to different products according to the clearly specified allocation procedure. The sum of the input and output allocated to a unit process should be equal to its input and output before allocation.

[0172] In this application, the reactants for green methanol production include: carbon dioxide, carbon monoxide, and hydrogen. The production methods of green methanol include:

[0173] 1. Carbon dioxide hydrogenation method

[0174] Principle: Carbon dioxide reacts with hydrogen in the presence of a catalyst to produce methanol. The reaction equation is: CO 2 + 3H → CH 3 OH + H 2 OCO 2 + 3H → CH 3 OH + H 2 O. Catalyst: The commonly used catalyst is a Cu-based catalyst, such as Cu / ZnO / Al 2 O 3 etc. Advantages: The raw materials are widely available, carbon dioxide can be effectively utilized, and carbon emissions can be reduced.

[0175] 2. Synthesis method of carbon monoxide and hydrogen

[0176] Principle: Carbon monoxide reacts with hydrogen in the presence of a catalyst to produce methanol. The reaction equation is: CO + 2H → CH 3 OH CO + 2H → CH 3 OH. Catalyst: The commonly used catalysts include Cu / ZnO / Al 2 O 3 etc. Process: Industrially, the method of syngas (CO + H 2 ) is usually adopted. Syngas is prepared by processes such as steam reforming or partial oxidation, and then methanol is synthesized in the presence of a catalyst.

[0177] 3. Synthesis method of mixed gas

[0178] Principle: Carbon dioxide and carbon monoxide are simultaneously reacted with hydrogen to produce methanol. The reaction equations include the following two: CO + 2H → CH 3 OH CO + 2H → CH 3 OH; and CO 2 + 3H → CH 3 OH + H 2 OCO 2 + 3H → CH 3 OH + H 2 O. Process: When the syngas contains both CO and CO 2 , by adjusting the hydrogen-carbon ratio and reaction conditions, methanol can be synthesized in the presence of a catalyst.

[0179] In one embodiment, in the production stage of green methanol, each single type of the carbon emission reduction sub-model calculates the carbon emissions using the following formula (2):

[0180] Formula (2)

[0181] Wherein, is the carbon emission of power consumption; is the carbon emission of heat consumption; is the carbon emissions from other inputs; is the carbon emissions from wastewater consumption; , , , The units of , are all tons of carbon dioxide equivalent; is the dry weight of the process raw materials or products, with the unit of ton.

[0182] In this embodiment, the carbon emissions in the production processes of the main raw materials and products are quantified. The carbon emissions from electricity consumption, heat consumption, other inputs, and wastewater consumption within the production unit are summed up to calculate the carbon emissions in the production stage of the main raw materials or products.

[0183] For the carbon emissions from electricity consumption in the product production process, the emission factor method can be used for calculation. Refer to the following formula (2-1):

[0184] Formula (2-1)

[0185] is the carbon emissions from electricity consumption, with the unit of ton of carbon dioxide equivalent (tCO2e); EC is the electricity consumption, with the unit of megawatt-hour (MWh); is the electricity emission factor, with the unit of ton of carbon dioxide equivalent per megawatt-hour (tCO2e / MWh).

[0186] Regarding the selection of the electricity emission factor, the following requirements should be met: a) When the electricity consumed by the product is internal power generation (such as on-site power generation) and not sold to a third party, the life cycle data of this electricity should be included in the quantification of the product carbon footprint of this product; b) If there is a dedicated transmission line between the organization and the power station and the electricity consumed 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 electricity supply in the form of a contract tool, the life cycle data of the electricity production specific to the supplier should be used. The electricity product should: transfer the relevant information of the electricity production unit and the characteristics of the generator set; ensure the exclusive right of use; be traced, 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 contract tool and include the corresponding time length.

[0187] When specific electricity information of the supplier cannot be obtained, the grid GHG emissions related to the electricity source should be used. The relevant grid GHG emissions should reflect the electricity consumption in the relevant region and do not include any electricity whose attribution has been declared previously. If there is no electricity tracking system, the selected grid GHG emissions should reflect the electricity consumption in the region.

[0188] For the carbon emissions of thermal energy consumption in the product production process, the emission factor method is preferably used, and applicable formulas can be selected for calculation according to the source type of the activity level. The method based on fuel calculation can be adopted, see the following formula (2-2):

[0189] Formula (2-2)

[0190] is the carbon emissions of thermal energy consumption, 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).

[0191] Alternatively, for the carbon emissions of thermal energy consumption in the product production process, the method based on thermal energy calculation can be adopted, see the following formula (2-3):

[0192] Formula (2-3)

[0193] is the carbon emissions of thermal energy consumption, in tons of carbon dioxide equivalent (tCO2e); is the thermal energy consumption, in gigajoules (GJ); is the thermal energy emission factor, in tons of carbon dioxide equivalent per gigajoule (tCO2e / GJ).

[0194] For other inputs in the product production process, it refers to the input of 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.), considering the emissions in the production process of fossil raw materials. For the carbon emissions of other inputs in the product production process, the emission factor method is preferably used, see the following formula (2-4):

[0195] Formula (2-4)

[0196] is the carbon emissions of other inputs, in tons of carbon dioxide equivalent (tCO2e); is the consumption of other inputs, in kilograms (kg) or liters (L); is the emission factor of other inputs, in tons of carbon dioxide equivalent per kilogram or liter (tCO2e / kg or tCO2e / L).

[0197] For the case of producing methanol using carbon-containing fossil energy as raw materials, the carbon emissions in its production process are calculated according to the carbon content of the raw material input and the carbon content of the main and by-products output by the mass balance method, see the following formula (2-5):

[0198] Formula (2-5)

[0199] For the case of producing methanol using carbon-containing fossil fuels as raw materials, the carbon emissions in the production process are calculated according to the carbon content of the raw material input and the carbon content of the main and by-product outputs by the mass balance method. See the following formula (2-6):

[0200] Formula (2-6)

[0201] is the CO 2 emissions generated by fossil fuels and other hydrocarbons used as raw materials, in tons of carbon dioxide (tCO2); r is the type of raw material entering the production process, such as specific varieties of fossil fuels, hydrocarbons with specific names, 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 raw material r, in 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 cubic meters (Nm3); is the carbon content of carbon-containing product p, in tons of carbon per ton or ten thousand cubic meters (tC / t or tC / ten thousand Nm3); w is the type of other carbon-containing outputs flowing out of the production process and not included in the product category, such as carbon-containing wastes like slag, dust, and sludge; is the carbon-containing waste w output, in tons (t); is the carbon-containing waste w carbon content, in tons of carbon per ton (tCt).

[0202] For the carbon emissions from wastewater generated in the product production process, it is advisable to calculate using the emission factor method. See the following formula (2-7):

[0203] Formula (2-7)

[0204] In the formula:

[0205] is the wastewater carbon emissions, in tons of carbon dioxide equivalent (tCO2e); is the wastewater production, in cubic meters (Nm3); is the emission factor for wastewater treatment, in tons of carbon dioxide equivalent per cubic meter (tCO2e / Nm3).

[0206] In one embodiment, during the transportation stage of green methanol, each single type of the carbon emission reduction sub-model calculates the carbon emissions using the following formula (3-1) or formula (3-2):

[0207] Formula (3-1)

[0208] is the carbon emission during the transportation stage, in tons of carbon dioxide equivalent per ton of dry weight (tCO2e / t); is the number of transportation times required for transportation, dimensionless; is the loaded transportation distance, in kilometers (km); is the loaded fuel efficiency of the transportation mode, in liters per kilometer (L / km); is the empty transportation distance of the material, in kilometers (km); is the empty fuel efficiency of the transportation mode, in liters per kilometer (L / km); is the fuel emission factor corresponding to the transportation fuel, in tons of carbon dioxide equivalent per liter (tCO2e / L); is the transportation dry weight, in tons (t);

[0209] Formula (3-2)

[0210] is the carbon emission during the transportation stage, in tons of carbon dioxide equivalent per ton of dry weight (tCO2e / t); is the transportation wet weight, in tons (t); is the transportation distance, in kilometers (km); is the transportation thermal efficiency, in megajoules per ton-kilometer (MJ / tkm); is the fuel emission factor corresponding to the transportation fuel, in tons of carbon dioxide equivalent per megajoule (tCO2e / MJ); is the transportation dry weight, in tons (t).

[0211] 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 combined transportation route and then added up to obtain the final result.

[0212] In one embodiment, during the usage stage of green methanol, each single type of the carbon emission reduction sub-model calculates the carbon emissions using the following formula (4):

[0213] Formula (4)

[0214] is the carbon emission during the methanol usage stage, in tons of carbon dioxide equivalent per ton of methanol (tCO2e / t methanol); is the proportion of the fossil source of carbon elements in the methanol product, in %; is the methanol oxidation decomposition emission factor. By default, all carbon elements in the methanol product are oxidized to carbon dioxide, with a value of 1.375 tCO2e / t methanol.

[0215] In this embodiment, the provided formula (4) is used to calculate the carbon emissions during the direct use D1 process of green methanol in the usage stage. For the carbon emissions during the indirect use D2 and partial direct and partial indirect use D3 processes of green methanol in other more application fields, they can be calculated according to other formulas.

[0216] In the carbon emission reduction optimization method for preparing green methanol from mixed biomass raw materials provided in this application, the calculation formulas for carbon emissions in each process (such as formulas 1 - formula 4) are provided. By using unified calculation formulas, unified data processing is formed, which is convenient for data statistics during sorting or comparison. At the same time, it can also ensure the authenticity and reliability of the data results.

[0217] In one embodiment, when providing the user with an actual executable solution, the carbon emissions of the actual executable solution are converted into emission reduction values through the following formula (5);

[0218] Alternatively, when providing the user with the first actual executable solution, the second actual executable solution, the third actual executable solution, and the fourth actual executable solution, the carbon emissions of the actual executable solutions are converted into emission reduction values through the following formula (5). The emission reduction value is a percentage and can be calculated by the following formula:

[0219] Formula (5)

[0220] is the emission reduction value of the executable solution; is the international standard carbon emission. Currently, the international standard carbon emission is 94 gCO 2 e / MJ; E is the carbon emission of the executable solution.

[0221] In this embodiment, the user can select a specific executable solution for implementation according to the magnitude of the emission reduction value. Among them, the executable solution with a larger emission reduction value and a smaller comprehensive cost is better.

[0222] 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 them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and 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, 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; Characterized in that, 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; Before S81, it also includes: setting different weights for secondary screening at each stage to select the executable solutions with truly less carbon emissions.

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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