Method for calculating cost of biological methanol pretreatment process by considering energy yield

Abstract

The invention relates to a biological methanol pretreatment process cost calculation method considering energy yield, and relates to the technical field of biochemical engineering, and the method comprises the following steps: calculating static cost and dynamic cost of biological methanol in a pretreatment process; the biomass energy yield of the biological methanol after the pretreatment process is calculated, and the biomass energy yield is determined according to the energy yield of the pretreatment process; according to the static cost, the dynamic cost and the biomass energy yield, the unit energy yield treatment cost of each process unit with the biomass calorific value change in the pretreatment process is calculated, and the cost required for obtaining the biological methanol of unit energy is evaluated according to the unit energy yield treatment cost. The problem of rough calculation caused by the fact that a traditional method only depends on single variables such as fixed investment and operation power consumption is effectively solved, the problem of lack of engineering factor consideration is accurately solved, and therefore the actual application effect is greatly improved.

Description

Technical Field

[0001] This application relates to the field of biochemistry technology, and specifically relates to a cost calculation method for a biological methanol pretreatment process considering energy yield. Background Art

[0002] Driven by the increasingly severe global climate change and the strategic goals of "carbon peak and carbon neutrality", building a new energy system dominated by renewable energy such as wind energy and solar energy has become a global consensus and national strategy. As a clean and efficient secondary energy carrier, hydrogen plays a key role in the energy transformation. However, there are industrialization bottlenecks such as low density, high cost, and high safety risks in the storage and transportation of hydrogen. Therefore, the global energy industry is moving towards the "Hydrogen 2.0" era, that is, by converting green hydrogen into "hydrogen-like" energy such as green methanol and green ammonia to solve the problems of hydrogen storage and transportation.

[0003] Green methanol, especially biological methanol prepared through the biomass path, has become an important part of the new energy system due to its wide range of raw material sources (such as agricultural and forestry waste, municipal solid waste, etc.) and the characteristics of low carbon emissions throughout the life cycle. According to international certification standards, the production of green methanol needs to ensure that its carbon emission intensity throughout the life cycle is lower than a specific threshold (for example, 28.2 gCO2eq / MJ), which requires that its production process must strictly follow the principle of low carbon or zero carbon.

[0004] Among the various production processes of biological methanol, the entrained flow gasification technology has become the mainstream technical route for current large-scale production due to its significant advantages such as high carbon conversion rate, good syngas quality, and strong coupling with subsequent synthesis processes. However, the entrained flow gasification technology has extremely strict requirements on the physical and chemical properties, activity, and particle size, reaction fluidity, etc. of the raw materials entering the furnace. In order to meet these requirements, a pretreatment system must be set up before gasification to carry out a series of treatments on the original biomass, such as drying, crushing, screening, and impurity removal.

[0005] It is worth noting that the cost of the pretreatment link (including raw material cost and processing cost) accounts for about one-third of the total cost of biological methanol, which directly determines the market competitiveness of the final methanol product. At present, the cost calculation method for the biomass pretreatment process supporting the entrained flow bed only calculates through variables such as fixed investment, operating power consumption, and product output, with a single and rough method, especially lacking the consideration of engineering influencing factors, so the actual application effect is poor. Summary of the Invention

[0006] In view of this, the present application provides a method for calculating the cost of a biological methanol pretreatment process considering energy yield, and the main purpose is to solve the technical problem that the current cost calculation method for the biomass pretreatment process supporting the entrained flow bed only calculates through variables such as fixed investment, operating power consumption, and product output, with a single and rough method, especially lacking consideration of engineering influencing factors, so the actual application effect is poor.

[0007] In a first aspect, the present application provides a method for calculating the cost of a biological methanol pretreatment process considering energy yield, including: Calculating the static cost and dynamic cost of biological methanol in the pretreatment process, where the static cost is used to characterize the unit production capacity investment cost under the actual effective operation duration, and the dynamic cost is used to characterize the variable cost of the pretreatment equipment during actual operation; Calculating the biomass energy output of the biological methanol after passing through the pretreatment process, where the biomass energy output is determined according to the energy yield of the pretreatment process; According to the static cost, the dynamic cost, and the biomass energy output, calculating the unit energy output treatment cost of each process unit where the biomass calorific value changes in the pretreatment process, so as to evaluate the cost price required to obtain unit energy of biological methanol according to the unit energy output treatment cost.

[0008] In a second aspect, the present application provides a device for calculating the cost of a biological methanol pretreatment process considering energy yield, including: A first calculation module for calculating the static cost and dynamic cost of biological methanol in the pretreatment process, where the static cost is used to characterize the unit production capacity investment cost under the actual effective operation duration, and the dynamic cost is used to characterize the variable cost of the pretreatment equipment during actual operation; A second calculation module for calculating the biomass energy output of the biological methanol after passing through the pretreatment process, where the biomass energy output is determined according to the energy yield of the pretreatment process; An evaluation module for calculating the unit energy output treatment cost of each process unit where the biomass calorific value changes in the pretreatment process according to the static cost, the dynamic cost, and the biomass energy output, so as to evaluate the cost price required to obtain unit energy of biological methanol according to the unit energy output treatment cost.

[0009] In a third aspect, the present application provides an electronic device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, it implements the method for calculating the cost of the biological methanol pretreatment process considering energy yield described in the first aspect.

[0010] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the cost calculation method for the bio-methanol pretreatment process considering energy yield as described in the first aspect.

[0011] By employing the above technical solution, this application provides a cost calculation method for bio-methanol pretreatment processes that considers energy yield. Compared with existing technologies, this application can calculate the static and dynamic costs of bio-methanol in the pretreatment process. The static cost characterizes the unit capacity investment cost during actual effective operating time, while the dynamic cost characterizes the variable costs of the pretreatment equipment during actual operation. It also calculates the biomass energy yield of bio-methanol after pretreatment, where the biomass energy yield is determined based on the energy yield of the pretreatment process. Based on the static cost, dynamic cost, and biomass energy yield, it calculates the unit energy yield processing cost for each process unit in the pretreatment process where the biomass calorific value changes, thereby assessing the cost required to obtain a unit of bio-methanol energy based on the unit energy yield processing cost. By introducing three core indicators—static cost, dynamic cost, and biomass energy yield—this application constructs a multi-dimensional cost calculation system for fluidized bed-supported biomass pretreatment processes, effectively solving the problem of rough calculations caused by traditional methods relying solely on single variables such as fixed investment and operating power consumption.

[0012] Furthermore, by introducing energy output and energy yield, this application successfully quantifies and reflects a series of key engineering influencing factors, such as raw material quality, process parameters, and equipment performance, into the final unit energy output processing cost, accurately solving the problem of lacking consideration of engineering factors, thereby greatly improving the practical application effect.

[0013] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0014] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A schematic flowchart of a method for calculating the cost of a biological methanol pretreatment process considering energy yield provided by an embodiment of the present application; Figure 2 A schematic structural diagram of a device for calculating the cost of a biological methanol pretreatment process considering energy yield provided by an embodiment of the present application. Detailed implementation manners

[0017] The following describes exemplary embodiments of the present application with reference to the accompanying drawings. Various details of the embodiments of the present application are included to facilitate understanding, and they should be considered merely exemplary. Therefore, those of ordinary skill in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, the description below omits the description of well-known functions and structures. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0018] The following describes a method for calculating the cost of a biological methanol pretreatment process considering energy yield according to an embodiment of the present application with reference to the accompanying drawings.

[0019] The present application provides a method for calculating the cost of a biological methanol pretreatment process considering energy yield, mainly aiming to solve the technical problem that the current method for calculating the cost of a biomass pretreatment process supporting a gasifier only calculates through variables such as fixed investment, operating power consumption, and product output, with a single and rough method, especially lacking consideration of engineering influencing factors, and thus having a poor actual application effect.

[0020] As Figure 1 shown, an embodiment of the present application provides a method for calculating the cost of a biological methanol pretreatment process considering energy yield, including: Step 101: Calculate the static cost and dynamic cost of biological methanol in the pretreatment process.

[0021] For the embodiment of the present application, in the method for calculating the cost of a biological methanol pretreatment process considering energy yield involved in the present application, the economic performance of the pretreatment process is measured and evaluated by the cost of processing per unit energy output. This index is used to measure the cost required to obtain unit mass and unit energy of biological methanol, and comprehensively considers various engineering influencing factors. The specific indexes include: raw material quality, raw material processing capacity, mass yield in the pretreatment process, energy yield in the pretreatment process, energy consumption of the main processing device, system failure rate, investment cost, electricity price, etc.

[0022] To determine the unit energy output processing cost, the static and dynamic costs of bio-methanol in the pretreatment process can first be calculated. The static cost is the actual investment cost per unit capacity, which characterizes the investment cost per unit capacity during actual effective operating time. The dynamic cost characterizes the variable costs of the pretreatment equipment during actual operation.

[0023] In this embodiment, static cost mainly reflects the allocation of fixed asset investment, and its calculation process specifically includes the following sub-steps: First, basic data related to the investment and design of the pretreatment system can be obtained, including at least: fixed investment in equipment, depreciation rate, depreciation period, annual rated biomass processing capacity, and annual utilization hours of equipment. Among them, fixed investment in equipment: can be the total cost of one-time investment in the purchase, installation and commissioning of all equipment in the pretreatment system (including crushing, drying, impurity removal, powder making and other units); Depreciation rate or depreciation period: This can be the equipment depreciation parameter determined according to accounting standards or corporate policies; Annual rated processing capacity of biomass: This can be the total amount of biomass raw materials that the pretreatment system can theoretically process per year under design conditions, in tons / year; Annual equipment utilization hours: This can be the number of operating hours converted to the rated processing capacity. It is calculated by dividing the actual annual biological mass processed by the nominal rated hourly processing capacity, and the unit is hours / year.

[0024] Based on the obtained fixed investment, depreciation rate, depreciation period, annual rated biomass processing capacity, and annual equipment utilization hours, the static cost of biomethanol in the pretreatment process can be determined using a static cost calculation formula. The static cost calculation formula can be:

[0025] In the formula, Static cost [yuan / ] ], Indicates fixed investment in equipment. Indicates the depreciation rate. Indicates the depreciation period. This indicates the annual rated processing capacity of biomass. This indicates the annual utilization hours of the equipment.

[0026] In this embodiment, dynamic cost mainly reflects the variable expenditures during system operation, primarily including operating costs and maintenance costs. Its calculation process specifically includes the following sub-steps: First, data related to the actual operation of the pretreatment system can be obtained, including at least: annual electricity consumption, electricity price, annual maintenance cost, annual actual biomass processing volume, and annual operating hours of the equipment. The annual operating hours of the equipment are the total operating hours of the equipment in the start-up state, including the time spent running under load and the time spent running under no-load and commissioning. Among them, annual electricity consumption: can be the total electricity consumed by the pretreatment system in one year, in kilowatt-hours per year; Electricity price: This can be the average price of industrial electricity, expressed in yuan per kilowatt-hour; Annual maintenance cost: This can be the total cost of equipment repair, spare parts replacement, manual inspection and other activities for the system within one year; Actual annual biomass processing capacity: This can be the total amount of biomass raw materials actually processed by the pretreatment system in one year, in tons / year; Annual operating hours of equipment: This can be the total operating time of the equipment in the start-up state within a year, which can include operating time under load, operating time under no-load, and non-productive time such as commissioning and start-up preheating, and the unit is hours / year.

[0027] Based on the obtained annual electricity consumption, electricity price, annual maintenance costs, actual annual biomass processing volume, and annual equipment operating hours, the dynamic cost of biomethanol in the pretreatment process can be determined using a dynamic cost calculation formula. The dynamic cost calculation formula can be:

[0028] In the formula, Represents dynamic cost [yuan / ] ], This indicates annual electricity consumption. Indicates electricity price, Indicates annual maintenance costs. This represents the actual annual processing volume of biomass. This indicates the number of hours the equipment operates per year.

[0029] Step 102: Calculate the biomass energy yield of bio-methanol after the pretreatment process, wherein the biomass energy yield is determined based on the energy yield of the pretreatment process.

[0030] In this embodiment, calculating the biomass energy yield of bio-methanol after pretreatment may specifically include: Obtain the basic data required to calculate biomass energy yield. The basic data should include at least: biomass feedstock processing volume, lower heating value of biomass feedstock, and energy yield. Wherein, biomass feedstock processing capacity: can be the total mass of biomass feedstock fed into the pretreatment system, in tons / hour ( ); Lower heating value of biomass feedstock: This refers to the heat released when a unit mass of biomass feedstock is completely burned, excluding the latent heat of condensation of water vapor, and is expressed in gigajoules per ton (GJ / t). Energy yield of pretreatment process: can be a dimensionless percentage or decimal, characterizing the proportion of energy retained in the product after pretreatment to the total energy of the raw materials, in percentage (%). Based on the obtained biomass feedstock processing volume, lower heating value of the biomass feedstock, and energy yield, the biomass energy yield after pretreatment can be determined using a biomass energy yield calculation formula. The biomass energy yield calculation formula can be as follows:

[0031] In the formula, This indicates biomass energy production, expressed in gigajoules per hour (GJ / h). Indicates the amount of biomass raw materials processed. This indicates the lower heating value of biomass feedstock. Indicates energy yield; For the embodiments of this application, the process of determining the energy yield may specifically include: The measured or design data required to determine the energy yield may include at least: the amount of pretreated product, the higher calorific value of the pretreated product, the amount of biomass feedstock processed, and the higher calorific value of the feedstock. Among them, the amount of pretreated product can be the total mass of the final bio-methanol obtained after pretreatment, in tons; Higher heating value of pretreated products: This refers to the total heat released when a unit mass of pretreated products is completely burned, including the latent heat of condensation of water vapor, and is expressed in megajoules per ton (MJ / t). Higher heating value of raw materials (HHV_raw): This refers to the total heat released when a unit mass of biomass raw material is completely burned, expressed in megajoules per ton (MJ / t).

[0032] The energy yield can be determined using an energy yield calculation formula based on the obtained pre-treated product quantity, the higher calorific value of the pre-treated product, the biomass feedstock processing quantity, and the higher calorific value of the feedstock. The energy yield calculation formula can be:

[0033] In the formula, Indicates energy yield. Indicates the amount of pre-processed product. This indicates the high calorific value of the pretreated product. Indicates the amount of biomass raw materials processed. This indicates the higher calorific value of the raw material.

[0034] Step 103: Based on static cost, dynamic cost, and biomass energy output, calculate the unit energy output processing cost of each process unit in the pretreatment process where the biomass calorific value changes, so as to assess the cost required to obtain a unit of bio-methanol based on the unit energy output processing cost.

[0035] In this application embodiment, the economic performance of the pretreatment process is evaluated based on the unit energy output processing cost. This indicator can be used to measure the cost required to obtain a unit mass and a unit energy of bio-methanol. The calculation items consider the main engineering economic influencing factors. Specifically, the process of determining the unit energy output processing cost may include: Based on the calculated static cost, dynamic cost, and biomass energy yield, the unit energy yield processing cost can be determined using a formula for calculating the unit energy yield processing cost. This formula can be used to determine the unit energy yield processing cost for each process unit in the pretreatment process where the biomass calorific value changes.

[0036] In the formula, The unit energy output processing cost is expressed as [yuan / ] ], Represents static cost. Indicates dynamic cost. This indicates biomass energy production.

[0037] In this embodiment, the main difference between the unit energy output processing cost calculation and the traditional bio-methanol pretreatment process cost calculation method that considers energy yield is the introduction of the concept of biomass energy yield into the cost calculation. That is, the processing cost per ton of biomass is calculated based on the acquisition of bio-methanol with a certain energy quality. This calculation method is applicable to several mainstream gasification biomass pretreatment process routes, including one of the following: circulating fluidized bed briquetting process, dry powder entrained bed low-temperature baking and pulverizing process, dry powder entrained bed carbonization and pulverizing process, slurry entrained bed pretreatment process, etc., and has a certain degree of universality.

[0038] The biomass pretreatment process of dry powder entrained flow biomass gasification technology can include: raw material bundling upon entry → unpacking → primary crushing → ash and impurity removal → secondary crushing → baking → milling. For unpacking, primary crushing, and secondary crushing, the biomass can be considered to only change in physical form, without affecting energy yield. For ash and impurity removal, baking, and milling, changes in soil content, moisture content, volatile matter, and the three elements (hemicellulose, cellulose, and lignin) during the treatment process lead to changes in the calorific value of the biomass. The impact of energy yield on biomass quality must be considered. The above formula should be used to calculate the unit energy output processing cost for each process. The overall economic efficiency of the route is the sum of the calculation results for each process unit.

[0039] In this embodiment, based on the unit energy output processing cost calculation formula, for a biomass pretreatment production line, given fixed investment costs, equipment specifications, and electricity prices, the main factor affecting cost is biomass energy output. The main factors determining energy output variation, determined by the biomass energy output calculation formula and energy yield calculation formula, are the lower heating value (LCV) and higher heating value (CH) of the raw material, as well as the amount of pretreated product and the CH of the product. Biomass energy output is positively correlated with the LCV of the raw material; the higher the moisture content of the raw material, the lower the LCV, and the lower the energy output. Therefore, before pretreatment, the moisture content of the raw material should be reduced as much as possible without investing in additional equipment and energy. Biomass energy output is also positively correlated with the CH of the product, which in turn is positively correlated with the C / H ratio and the C / O ratio. That is, the higher the degree of biomass carbonization and the lower the degree of oxidation, the higher the CH. During the roasting process, biomass undergoes dehydration, deoxygenation, and hemicellulose decomposition, resulting in carbon energy enrichment and a gradual increase in gross calorific value. Simultaneously, due to the loss of some volatile matter during roasting, the product quality yield decreases, leading to a reduction in the overall energy yield. Therefore, for the entire roasting process, the operating parameters of the pretreatment process can be optimized based on the processing cost per unit energy output. These parameters can be defined as the roasting temperature range, with the optimization goal being to select a suitable roasting temperature range that comprehensively considers both energy and quality yield during the roasting process, thereby minimizing the processing cost per unit energy output. Furthermore, factors such as the ease of biomass crushing, energy loss, and raw material characteristics must also be considered.

[0040] In summary, according to the cost calculation method for bio-methanol pretreatment considering energy yield provided in this application, compared with the existing technology, this application can calculate the static and dynamic costs of bio-methanol in the pretreatment process. The static cost characterizes the unit capacity investment cost under actual effective operating time, while the dynamic cost characterizes the variable cost of the pretreatment equipment during actual operation. It also calculates the biomass energy yield of bio-methanol after pretreatment, where the biomass energy yield is determined based on the energy yield of the pretreatment process. Based on the static cost, dynamic cost, and biomass energy yield, it calculates the unit energy yield processing cost for each process unit in the pretreatment process where the biomass calorific value changes, thereby assessing the cost required to obtain a unit of bio-methanol energy based on the unit energy yield processing cost. By introducing three core indicators—static cost, dynamic cost, and biomass energy yield—this application constructs a multi-dimensional cost calculation system for fluidized bed-supported biomass pretreatment processes, effectively solving the problem of rough calculations caused by traditional methods relying solely on single variables such as fixed investment and operating power consumption.

[0041] Furthermore, by introducing energy output and energy yield, this application successfully quantifies and reflects a series of key engineering influencing factors, such as raw material quality, process parameters, and equipment performance, into the final unit energy output processing cost, accurately solving the problem of lacking consideration of engineering factors, thereby greatly improving the practical application effect.

[0042] Based on the above Figure 1 The specific implementation of the method shown in this embodiment provides a cost calculation device for a bio-methanol pretreatment process that considers energy yield, such as... Figure 2 As shown, the device includes: a first calculation module 31, a second calculation module 32, and an evaluation module 33; The first calculation module 31 is used to calculate the static cost and dynamic cost of bio-methanol in the pretreatment process, wherein the static cost is used to characterize the unit capacity investment cost under actual effective operating time, and the dynamic cost is used to characterize the variable cost of the pretreatment equipment during actual operation. The second calculation module 32 is used to calculate the biomass energy yield of the bio-methanol after the pretreatment process, wherein the biomass energy yield is determined based on the energy yield of the pretreatment process; The evaluation module 33 is used to calculate the unit energy output processing cost of each process unit in the pretreatment process where the biomass calorific value changes, based on the static cost, the dynamic cost, and the biomass energy output, so as to evaluate the cost required to obtain a unit of bio-methanol based on the unit energy output processing cost.

[0043] In specific application scenarios, the first calculation module 31 can be used to obtain the equipment's fixed investment, depreciation rate, depreciation period, annual rated biomass processing capacity, and annual utilization hours of the equipment. The static cost of the bio-methanol in the pretreatment process is determined based on the fixed investment of the equipment, the depreciation rate, the depreciation period, the annual rated processing capacity of the biomass, and the annual utilization hours of the equipment.

[0044] In specific application scenarios, the first calculation module 31 can be used to obtain annual electricity consumption, electricity price, annual maintenance cost, annual actual biomass processing volume and annual equipment operating hours. The annual equipment operating hours are the total operating hours of the equipment in the start-up state, including the time spent running under load and the time spent running under no-load and debugging conditions. The dynamic cost of bio-methanol in the pretreatment process is determined based on the annual electricity consumption, the electricity price, the annual maintenance cost, the actual annual biomass processing volume, and the annual operating hours of the equipment.

[0045] In specific application scenarios, the second calculation module 32 can be used to obtain the biomass raw material processing volume, the lower heating value of the biomass raw material, and the energy yield. The biomass energy yield of bio-methanol after the pretreatment process is determined based on the biomass feedstock processing capacity, the lower heating value of the biomass feedstock, and the energy yield.

[0046] In specific application scenarios, the second calculation module 32 can be used to obtain the amount of pre-treated product, the higher heating value of the pre-treated product, and the higher heating value of the raw material. The energy yield is determined based on the amount of pretreated product, the higher calorific value of the pretreated product, the amount of biomass raw material processed, and the higher calorific value of the raw material.

[0047] In specific application scenarios, the evaluation module 33 can be used for at least one of the process units where the biomass calorific value changes: ash removal, baking, and milling.

[0048] In specific application scenarios, the evaluation module 33 can be used for one of the following pretreatment processes: circulating fluidized bed briquetting process, dry powder airflow bed low-temperature baking powder production process, dry powder airflow bed carbonization powder production process, and slurry airflow bed pretreatment process.

[0049] In specific application scenarios, such as Figure 2 As shown, the device also includes: an optimization module 34; The optimization module 34 is used to optimize the operating parameters of the pretreatment process based on the unit energy output processing cost, so that the operating parameters reach the optimization target. The operating parameters are baking temperature ranges, and the optimization target is to select the optimal baking temperature range by comprehensively considering the energy yield and mass yield in the baking process, so as to minimize the unit energy output processing cost.

[0050] It should be noted that other corresponding descriptions of the functional units involved in the cost calculation device for a bio-methanol pretreatment process considering energy yield provided in this embodiment can be found in [reference]. Figure 1 The corresponding descriptions in [the document] will not be repeated here.

[0051] Based on the above, Figure 1 Accordingly, this embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method. Figure 1 The method shown.

[0052] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as CD-ROM, USB flash drive, mobile hard drive, etc.) and includes several instructions to cause a computer device (such as personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of this application.

[0053] Based on the above, Figure 1 The method shown, and Figure 2 To achieve the above objectives, the present application also provides an electronic device, comprising a storage medium and a processor; the storage medium for storing a computer program; and the processor for executing the computer program to implement the above-described virtual device embodiments. Figure 1 The method shown.

[0054] Optionally, the aforementioned physical devices may also include a user interface, a network interface, a camera, radio frequency (RF) circuitry, sensors, audio circuitry, a Wi-Fi module, etc. The user interface may include a display screen, input units such as a keyboard, etc., and optional user interfaces may also include USB interfaces, card reader interfaces, etc. The network interface may optionally include standard wired interfaces, wireless interfaces (such as Wi-Fi interfaces), etc.

[0055] Those skilled in the art will understand that the physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or combine certain components, or have different component arrangements.

[0056] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the aforementioned physical device, supporting the operation of the cost calculation program for the bio-methanol pretreatment process considering energy yield, as well as other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software within the physical device for calculating the cost of the bio-methanol pretreatment process considering energy yield.

[0057] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented using software plus necessary general-purpose hardware platforms, or it can be implemented through hardware. By applying the solution of this embodiment, compared with the prior art, this application can calculate the static cost and dynamic cost of bio-methanol in the pretreatment process, whereby the static cost is used to characterize the unit capacity investment cost under actual effective operating time, and the dynamic cost is used to characterize the variable cost of the pretreatment equipment during actual operation; calculate the biomass energy yield of bio-methanol after the pretreatment process, whereby the biomass energy yield is determined according to the energy yield of the pretreatment process; and calculate the unit energy yield processing cost of each process unit in the pretreatment process where the biomass calorific value changes, based on the static cost, dynamic cost, and biomass energy yield, so as to assess the cost required to obtain a unit of bio-methanol based on the unit energy yield processing cost. By adopting the above technical solution, this application constructs a multi-dimensional cost calculation system for the fluidized bed-supported biomass pretreatment process by introducing three core indicators: static cost, dynamic cost, and biomass energy yield, effectively solving the problem of rough calculation caused by traditional methods that rely only on single variables such as fixed investment and operating power consumption.

[0058] Furthermore, by introducing energy output and energy yield, this application successfully quantifies and reflects a series of key engineering influencing factors, such as raw material quality, process parameters, and equipment performance, into the final unit energy output processing cost, accurately solving the problem of lacking consideration of engineering factors, thereby greatly improving the practical application effect.

[0059] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0060] The above are merely specific embodiments of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to these embodiments, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for calculating the cost of a bio-methanol pretreatment process considering energy yield, characterized in that, The method includes: Calculate the static and dynamic costs of bio-methanol in the pretreatment process, wherein the static cost is used to characterize the unit capacity investment cost under actual effective operating time, and the dynamic cost is used to characterize the variable cost of the pretreatment equipment during actual operation. Calculate the biomass energy yield of the bio-methanol after the pretreatment process, wherein the biomass energy yield is determined based on the energy yield of the pretreatment process; Based on the static cost, the dynamic cost, and the biomass energy output, calculate the unit energy output processing cost of each process unit in the pretreatment process where the biomass calorific value changes, so as to assess the cost required to obtain a unit of bio-methanol based on the unit energy output processing cost.

2. The method for calculating the cost of bio-methanol pretreatment considering energy yield according to claim 1, characterized in that, The calculation of the static cost of bio-methanol in the pretreatment process includes: Obtain information on equipment fixed investment, depreciation rate, depreciation period, annual rated biomass processing capacity, and annual equipment utilization hours; The static cost of the bio-methanol in the pretreatment process is determined based on the fixed investment of the equipment, the depreciation rate, the depreciation period, the annual rated processing capacity of the biomass, and the annual utilization hours of the equipment.

3. The method for calculating the cost of bio-methanol pretreatment considering energy yield according to claim 1, characterized in that, Calculate the dynamic cost of bio-methanol in the pretreatment process, including: The annual electricity consumption, electricity price, annual maintenance cost, annual actual biomass processing volume, and annual operating hours of the equipment are obtained. The annual operating hours of the equipment are the total operating hours of the equipment in the start-up state, including the time spent running under load and the time spent running under no-load and commissioning. The dynamic cost of bio-methanol in the pretreatment process is determined based on the annual electricity consumption, the electricity price, the annual maintenance cost, the actual annual biomass processing volume, and the annual operating hours of the equipment.

4. The method for calculating the cost of a bio-methanol pretreatment process considering energy yield according to claim 1, characterized in that, The calculation of the biomass energy yield of the bio-methanol after the pretreatment process includes: The biomass feedstock processing capacity, the lower heating value of the biomass feedstock, and the energy yield are obtained. The biomass energy yield of bio-methanol after the pretreatment process is determined based on the biomass feedstock processing capacity, the lower heating value of the biomass feedstock, and the energy yield.

5. The method for calculating the cost of bio-methanol pretreatment considering energy yield according to claim 4, characterized in that, The process of determining the energy yield includes: Obtain the quantity of pretreated product, the higher calorific value of pretreated product, and the higher calorific value of raw material; The energy yield is determined based on the amount of pretreated product, the higher calorific value of the pretreated product, the amount of biomass raw material processed, and the higher calorific value of the raw material.

6. The method for calculating the cost of a bio-methanol pretreatment process considering energy yield according to claim 1, characterized in that, The process unit in which the biomass calorific value changes includes at least one of: ash removal and impurity removal, baking, and milling.

7. The method for calculating the cost of a bio-methanol pretreatment process considering energy yield according to claim 1, characterized in that, The pretreatment process is one of the following: circulating fluidized bed briquetting process, dry powder airflow bed low-temperature baking powder production process, dry powder airflow bed carbonization powder production process, and slurry airflow bed pretreatment process.

8. The method for calculating the cost of a bio-methanol pretreatment process considering energy yield according to any one of claims 1-7, characterized in that, The method further includes: Based on the unit energy output processing cost, the operating parameters of the pretreatment process are optimized to achieve the optimization target. The operating parameters are the baking temperature range, and the optimization target is to select the optimal baking temperature range by comprehensively considering the energy yield and mass yield during the baking process, so as to minimize the unit energy output processing cost.

9. A cost calculation device for a bio-methanol pretreatment process considering energy yield, characterized in that, include: The first calculation module is used to calculate the static cost and dynamic cost of bio-methanol in the pretreatment process. The static cost is used to characterize the unit capacity investment cost under actual effective operating time, and the dynamic cost is used to characterize the variable cost of the pretreatment equipment during actual operation. The second calculation module is used to calculate the biomass energy yield of the bio-methanol after the pretreatment process, wherein the biomass energy yield is determined based on the energy yield of the pretreatment process; The evaluation module is used to calculate the unit energy output processing cost of each process unit in the pretreatment process where the biomass calorific value changes, based on the static cost, the dynamic cost, and the biomass energy output, so as to evaluate the cost required to obtain a unit of bio-methanol based on the unit energy output processing cost.

10. An electronic device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the cost calculation method for the bio-methanol pretreatment process considering energy yield, as described in any one of claims 1 to 8.

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