A life cycle assessment method and system for straw-based Fischer-Tropsch synthetic aviation fuel
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-22
- Publication Date
- 2026-08-14
AI Technical Summary
[0005]本发明的目的是针对现有技术中过程模拟与生命周期评价之间缺乏量化传导链接、敏感性分析参数分层不足、本土化数据库与过程模拟前景清单衔接困难等问题，而提供一种秸秆基费托合成航空燃料生命周期评价方法
1.过程模拟与生命周期评价的闭环耦合。本发明以过程模拟平台输出的物料/能量平衡数据作为生命周期清单编制的前景数据来源，使工厂内动态工艺参数与全产业链环境影响通过统一的物理量纲建立可追溯的量化传导链条；尤其在步骤4的微观工艺参数扰动情景下，将“返回步骤1重新执行过程模拟→重做清单编制→重做环境影响评价”作为强制闭环流程予以固化，克服了现有研究中过程模拟与生命周期评价相互脱节、参数变化无法穿透传导至全生命周期结果的局限。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of biomass energy conversion and life cycle assessment technology, and in particular to a method and system for life cycle assessment of straw-based Fischer-Tropsch synthesis aviation fuel. Background Technology
[0002] Sustainable aviation fuel (SAF) is an internationally recognized key technology for deep decarbonization in the aviation industry. Among these, the Fischer-Tropsch (FT) synthesis pathway, with its adaptability of raw materials and potential for resource utilization, has become a key area of international green aviation energy research. Crop straw, as a large-volume agricultural residue with low utilization rates, can be converted into aviation fuel through gasification-FT synthesis, achieving a synergistic effect of waste resource utilization and aviation emission reduction. Both the ICAO-led CORSIA framework and the EU ReFuelEU Aviation Regulation have established the life-cycle greenhouse gas emissions of straw-based FT-synthesized aviation fuel as a mandatory accounting basis for market access.
[0003] The existing technologies for environmental performance evaluation of straw-based Fischer-Tropsch synthesis aviation fuel have the following shortcomings: (1) Most process simulation studies limit the evaluation boundary to the factory gate and focus on the extreme optimization of thermodynamic energy efficiency. They fail to establish a quantitative transmission link between the dynamic material / energy inventory data within the factory and the environmental impact of the entire industrial chain, which includes raw material planting and collection, transportation, power grid supply and terminal combustion; (2) Existing process simulations are mostly deterministic analyses under a single optimal operating condition. They lack systematic sensitivity assessments of the fluctuation range of process parameters. It remains uncertain whether the "optimal technical parameters" confirmed by the process simulation can represent the optimal solution of the global environment after being put into the life cycle assessment system; (3) In existing life cycle assessment studies of the domestic supply chain, researchers often passively call the general modules of overseas commercial databases, resulting in a mismatch between spatial boundaries, technical systems and time representativeness; (4) Existing sensitivity analysis methods do not systematically stratify micro-process parameters, macro-supply chain parameters and methodological parameters. They cannot identify the impact of various parameters on the global warming potential of the entire life cycle on a unified and comparable scale. The direction and magnitude of the impact of the Global Potential (GWP) are difficult to quantify for process optimization and industrial policy formulation.
[0004] Therefore, there is an urgent need in this field for a life cycle assessment method for straw-based Fischer-Tropsch synthetic aviation fuel that can causally trace and quantitatively couple process simulation and life cycle assessment, and can perform unified and comparable sensitivity attribution of three heterogeneous parameters: micro-process, macro-supply chain, and methodology. Summary of the Invention
[0005] The purpose of this invention is to address the problems in existing technologies, such as the lack of quantitative transmission links between process simulation and life cycle assessment, insufficient stratification of sensitivity analysis parameters, and difficulties in connecting localized databases with process simulation prospect lists, by providing a life cycle assessment method for straw-based Fischer-Tropsch synthesis aviation fuel.
[0006] Another objective of this invention is to provide a life cycle assessment method and system for straw-based Fischer-Tropsch synthetic aviation fuel.
[0007] The technical solution adopted to achieve the purpose of this invention is: A life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel includes the following steps: Step 1, Full-process simulation: Taking the pretreated straw as the starting point of the feed, a full-process steady-state process model is established using the sequential modular method, and the full-process material balance data and energy balance data are output. Step 2, Lifecycle Inventory Compilation: Using the full-process material balance data and energy balance data output in Step 1 as the source of prospective inventory data, establish functional units and system boundaries, allocate upstream environmental loads to multiple products according to the energy allocation method, evaluate the quality of inventory data through inventory data quality evaluation indicators, and output a standardized full-process lifecycle inventory. Step 3, Localized Life Cycle Environmental Impact Assessment: Based on the standardized full-process life cycle list output in Step 2, sub-process modules are established according to the life cycle stage. The background database and characterization methods of the localized life cycle assessment platform are called to output the full life cycle environmental impact characterization results of the baseline scenario. Step 4, Three-level parameter stratified sensitivity analysis: Based on the full life cycle environmental impact characterization results in Step 3, disturbance analysis is carried out on the three types of parameters: micro-process parameters, macro-supply chain parameters, and methodological parameters, and the robustness judgment results are output.
[0008] In the above technical solution, in step 1, the whole-process steady-state process model includes at least a straw gasification reaction unit, a syngas conditioning unit, a Fischer-Tropsch synthesis reaction unit, a product fractionation unit, and utility units that are associated with each reaction unit.
[0009] In the above technical solution, in step 1, the Fischer-Tropsch synthesis reaction unit uses multiple sets of parallel reactions pre-calculated based on the Anderson-Schulz-Flory distribution law to characterize the carbon number distribution of the products, and introduces a chain growth factor. As a key operating parameter.
[0010] In the above technical solution, in step 2, the functional unit is aviation fuel that produces and consumes a unit of energy; the energy allocation method uses the lower heating value of each product as a weight, and calculates the allocation coefficient based on the product ratio of the mass and output of each product and the corresponding lower heating value; the quality evaluation indicators of the inventory data include at least the material balance closure, the relative deviation of the energy balance, and the consistency of internal data sources.
[0011] In the above technical solution, step 3, the life cycle stages include at least the straw collection and transportation stage, the biomass gasification and syngas purification stage, the Fischer-Tropsch synthesis and product refining stage, and the aviation fuel transportation and combustion stage.
[0012] In the above technical solution, in step 3, the localized life cycle assessment platform adopts a localized process background database and supplements the missing special process data in China with an internationally recognized database.
[0013] In the above technical solution, in step 4, the micro-process parameters include at least the CO single-pass conversion rate and the Anderson-Schulz-Flory chain growth factor α; the macro-supply chain parameters include at least the hydrogen carbon intensity; and the methodological parameters include at least the by-product allocation rules and the system boundary assumptions.
[0014] In the above technical solution, the micro-process parameter disturbance is achieved by returning to step 1 to re-execute the process simulation and life cycle inventory update; the macro-supply chain parameter disturbance is achieved by replacing the background data referenced by the corresponding inventory item in step 3; and the methodological parameter disturbance is achieved by modifying the energy allocation method or the system boundary assumption in step 2.
[0015] In the above technical solution, in step 4, all disturbance parameters are sorted in descending order according to the standardized sensitivity coefficient (SRC), and the full life cycle environmental impact characteristic results under each disturbance scenario are compared with the fossil aviation fuel benchmark value and compliance threshold. The robustness judgment result is then output. The absolute value of the standardized sensitivity coefficient (SRC) reflects the disturbance intensity of the corresponding parameter on the full life cycle global warming potential, and the positive or negative sign reflects the direction of the impact. The fossil aviation fuel benchmark value and the compliance threshold are respectively the universally recognized full life cycle GWP reference value and carbon emission reduction access threshold in the field of aviation fuel carbon accounting.
[0016] In another aspect of the present invention, a system for implementing the life cycle assessment method for straw-based Fischer-Tropsch synthesis of aviation fuel includes a process simulation module, an inventory compilation module, an environmental impact assessment module, and a sensitivity analysis module. The process simulation module establishes a full-process steady-state process model and outputs material balance data and energy balance data. The inventory compilation module compiles a standardized full-process life cycle inventory. The environmental impact assessment module completes the characterization assessment of multiple environmental impact indicators and outputs baseline scenario results. The sensitivity analysis module performs stratified perturbations on three types of parameters and outputs sorting and robustness judgment results according to SRC. The sensitivity analysis module is bidirectionally connected to the process simulation module and the environmental impact assessment module to support retrospective recalculation of process simulation and inventory compilation under micro-process parameter perturbation scenarios.
[0017] Compared with the prior art, the beneficial effects of the present invention are: 1. Closed-loop coupling of process simulation and life cycle assessment. This invention uses material / energy balance data output from the process simulation platform as the foreground data source for life cycle inventory compilation, enabling a traceable quantitative transmission chain between dynamic process parameters within the plant and the environmental impact of the entire industrial chain through unified physical dimensions. In particular, under the micro-process parameter disturbance scenario in step 4, the process of "returning to step 1 to re-execute process simulation → redo inventory compilation → redo environmental impact assessment" is solidified as a mandatory closed-loop process, overcoming the limitations of existing studies where process simulation and life cycle assessment are disconnected and parameter changes cannot be transmitted to the full life cycle results.
[0018] 2. Unified Comparable Sensitivity Analysis of Heterogeneous Parameters Across Three Levels: Micro-process, Macro-supply Chain, and Methodology. This invention incorporates heterogeneous parameters (continuous process operation parameters, categorized supply chain background data modules, and categorized methodological rules) that were originally scattered across different analytical levels into a unified standardized sensitivity coefficient (SRC) ranking framework. This makes the direction, magnitude, and mechanism of the impact of these three types of parameters on the total life-cycle GWP comparable on a unified scale. This overcomes the shortcomings of existing single-level sensitivity analysis methods in identifying the relative importance of heterogeneous parameters, providing a quantitative basis for process optimization direction selection and industrial policy formulation.
[0019] 3. Enhanced Spatial and Technical Representativeness of Localized Background Data. This invention introduces a localized life cycle assessment platform as the carrier for environmental impact assessment, uses a localized background database as the primary data source, and supplements special processes lacking domestic data with internationally recognized databases. This enhances the spatial boundaries, technical system, and temporal representativeness of the accounting results, providing support for life cycle carbon accounting and methodological standardization that conforms to domestic policy guidelines. Attached Figure Description
[0020] Figure 1The figure shows the flow chart of the life cycle assessment method for straw-based Fischer-Tropsch synthetic aviation fuel of the present invention.
[0021] Figure 2 The figure shows the schematic diagram of the whole process of straw-based Fischer-Tropsch synthesis in the embodiment of the present invention.
[0022] Figure 3 The figure shows the schematic diagram of the system boundary of the whole life cycle in the embodiment of the present invention. Specific embodiments
[0023] The present invention will be further described in detail below in conjunction with specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0024] Example 1 A life cycle assessment method for straw-based Fischer-Tropsch synthetic aviation fuel, referring to Figure 1 , includes the following steps: Step 1, whole process simulation. Starting from the pre-treated straw as the feed inlet, establish a steady-state process model of the whole process using the sequential modular method, and output the material balance data and energy balance data of the whole process; Furthermore, in this embodiment, the Aspen Plus process simulation software platform is selected. The steady-state process model of the whole process at least includes a straw gasification reaction unit, a syngas conditioning unit, a Fischer-Tropsch synthesis reaction unit, a product fractionation unit, and utility engineering units supporting each reaction unit. The Fischer-Tropsch synthesis reaction unit uses multiple sets of parallel reactions pre-calculated based on the Anderson-Schulz-Flory distribution law to characterize the product carbon number distribution, and introduces the chain growth factor as the key operating parameter of the Fischer-Tropsch synthesis reaction unit. Using the straw after off-site pretreatment (crushing, screening, drying) as the model feed inlet, connect the four sections in sequence according to the sequential modular method, and select the Soave-Redlich-Kwong cubic equation of state as the physical property method; define the components of the straw as an unconventional component through three sets of attribute vectors of proximate analysis, ultimate analysis and sulfur form analysis; referring to Figure 2 , the whole process of straw-based Fischer-Tropsch synthesis includes the following sections: Raw material pretreatment and gasification section: The straw first undergoes pyrolysis decomposition in the RYield reactor according to the ultimate analysis data, and the decomposition products enter the RGibbs reactor to undergo partial oxidation, reduction and reforming reactions with pure oxygen gasifier under high temperature and high pressure conditions. The raw syngas is separated by a cyclone to remove bottom ash and is purified by a purification unit to remove H S, NH and part of CO , and the purified syngas is obtained; Syngas Conditioning and Purification Section: The purified syngas, after being decondensed by a flash separator, enters the REquil chemical equilibrium reactor for a water-gas shift reaction. The syngas outlet H is controlled by the Design-Spec functional module using the process steam mass flow rate as the manipulated variable. The CO molar ratio was adjusted to the target range, and the secant method was used as the convergence algorithm to obtain the conditioned syngas. Fischer-Tropsch synthesis and product refining section: The conditioned synthesis gas enters the RStoic stoichiometric reactor and operates under low-temperature Fischer-Tropsch conditions. The reactor contains multiple sets of parallel stoichiometric reactions pre-calculated according to the Anderson-Schulz-Flory (ASF) distribution, corresponding to the formation pathways of hydrocarbon products with different carbon numbers. The stoichiometric number and product molecular weight of each reaction are distributed according to the ASF distribution. Chain growth factor The product is uniquely determined; after three-phase separation by condensation and flash evaporation, it is sent to the fractionation module and cut into light hydrocarbon fraction, naphtha fraction, middle fraction and heavy wax fraction according to carbon number, and then sent to aromatization reactor, hydroisomerization reactor and hydrocracking reactor for downstream refining. Public works and waste heat recovery section: Unreacted tail gas and light hydrocarbon dry gas from the Fischer-Tropsch synthesis and product refining section are sent to the combustion furnace for complete combustion with combustion air. The high-temperature flue gas is converted into superheated steam through countercurrent heat exchange with the waste heat boiler and boiler feedwater. The superheated steam drives the steam turbine to generate electricity to meet the power demand of the plant area.
[0025] The reaction units and reactor models for each process section are selected as shown in Table 1. After completing the full-process steady-state simulation, the material balance data and energy balance data for the entire process are output as input for step 2.
[0026] Table 1 Selection of reaction units and reactor models for each section Step 2, Lifecycle Inventory Compilation. Using the full-process material balance data and energy balance data output in Step 1 as the source of the prospective inventory data, functional units and system boundaries are established. The upstream environmental load is allocated to multiple products according to the energy allocation method. The quality of the inventory data is evaluated through inventory data quality evaluation indicators, and a standardized full-process lifecycle inventory is output.
[0027] Furthermore, the material balance data and energy balance data serve as the sole prospective inventory data source for life cycle assessment; the functional unit is defined as the production and combustion of aviation fuel with a unit calorific value, and all mass flows, energy flows, and pollutant emission flows are linearly scaled based on the system's energy production rate; the system boundary is defined by the physical boundary of the production unit's enclosure, and all material inputs, product outputs, waste emissions, and energy exchanges crossing this boundary are included in the inventory statistics; considering the co-occurrence of multiple products, the upstream environmental load is allocated according to the priority allocation principle of energy products in accordance with ISO 14044, using an energy allocation method based on the lower heating value of each product as a weight, and the allocation coefficient is calculated based on the product ratio of the mass output of each product and its corresponding lower heating value; the quality of the inventory data is evaluated through three indicators: material balance closure, relative deviation of energy balance, and consistency of internal data sources.
[0028] Step 3, Localized Life Cycle Environmental Impact Assessment. Taking the standardized full-process life cycle list output in Step 2 as input, sub-process modules are established according to the life cycle stage. The background database and feature methods of the localized life cycle assessment platform are called to output the full life cycle environmental impact feature results of the baseline scenario. Furthermore, the full life cycle assessment model in this embodiment is built on the localized Tiangong life cycle assessment platform, and the full life cycle system boundary diagram is shown in the figure below. Figure 3 The platform establishes sub-process modules according to four life cycle stages: straw collection and transportation, biomass gasification and syngas purification, Fischer-Tropsch synthesis and product refining, and aviation fuel transportation and combustion. The prospective inventory data for the biomass gasification and syngas purification and Fischer-Tropsch synthesis and product refining stages are derived from the material balance and energy balance data output in step 1 (Note: the process section described in step 1 belongs to the process simulation unit within the plant boundary; the life cycle stages described in this step cover the entire chain from cradle to grave, and the two refer to different objects). The inventory data for the remaining stages are compiled separately according to typical supply chain parameters. The modules are connected through intermediate product streams to form a complete full life cycle process model.
[0029] Background data is derived from the localized process database built into the localized life cycle assessment platform, supplemented by overseas general databases for special processes lacking localized data; the matching relationship between the main list items and platform modules is shown in Table 2. The life cycle impact assessment uses the EF 3.0 characteristic method built into the platform, and climate change indicators adopt the 100-year timescale characteristic factors from the IPCC Sixth Assessment Report, covering multiple environmental impact indicators such as climate change, acidification, and eutrophication; based on the principle of bio-source carbon neutrality, the bio-source CO2 released from end-of-life combustion is assessed. Assign a zero feature factor. Finally, output the full lifecycle environmental impact feature results of the baseline scenario as input for step 4.
[0030] Table 2. Matching Relationship between Key Inventory Items and Modules of the Localized Life Cycle Assessment Platform Step 4: Three-layer parameter stratified sensitivity analysis. Disturbances are analyzed for each of the three types of parameters: micro-level process parameters, macro-level supply chain parameters, and methodological parameters. Robustness assessment results are then output.
[0031] Furthermore, the environmental hotspots in the baseline scenario environmental impact characterization results output in step 3 and the adjustable parameter ranges of each reactor module in step 1 are identified as the basis for screening perturbation parameters. Perturbation analysis is carried out on three types of parameters: micro-process parameters, macro-supply chain parameters, and methodological parameters. Micro-process parameter perturbation is achieved by returning to step 1 to re-execute the process simulation and life cycle inventory update. Macro-supply chain parameter perturbation is achieved by changing the background data referenced by the corresponding inventory entries in step 3. Methodological parameter perturbation is achieved by modifying the energy allocation method or the system boundary assumption described in step 2. All perturbation parameters are sorted in descending order according to the standardized sensitivity coefficient (SRC). The full life cycle environmental impact characterization results under each perturbation scenario are compared with the fossil jet fuel benchmark value and compliance threshold, and the robustness judgment results are output. The absolute value of the standardized sensitivity coefficient SRC reflects the intensity of the disturbance of the corresponding parameter to the global warming potential (GWP) over the entire life cycle, and the positive or negative sign reflects the direction of the impact; the fossil aviation fuel benchmark value and the compliance threshold adopt the universally recognized reference value for the global warming potential (GWP) and the carbon emission reduction access threshold in the field of aviation fuel carbon accounting, respectively.
[0032] The micro-process parameters were selected based on the following criteria: These parameters had the greatest impact on the distribution of liquid hydrocarbon products and the net yield of aviation fuel in the full-process simulation of step 1, and possessed a clear industrially adjustable range. Typical examples include the CO single-pass conversion rate and the chain growth factor. The microscopic process parameters include at least the CO single-pass conversion rate and the Anderson-Schulz-Flory chain growth factor α.
[0033] The macro-supply chain parameters were selected based on the following criteria: In the process contribution analysis of the baseline scenario in step 3, the macro-supply chain parameters represent the external inputs that contribute the most to the total life-cycle GWP (Global Potential Benefit) besides straw raw materials, with the carbon intensity of externally supplemented hydrogen being a typical example. The macro-supply chain parameter perturbations were achieved by simply changing the background data referenced in the corresponding list items in step 3, simulating different hydrogen source scenarios such as green hydrogen, gray hydrogen, and grid-electrolyzed hydrogen. The macro-supply chain parameters include at least hydrogen carbon intensity.
[0034] The methodological parameters are selected based on the following criteria: methodological parameters are the two dimensions with the greatest differences in LCA methodological caliber, typically represented by byproduct allocation rules and system boundary assumptions; perturbations to methodological parameters are achieved by modifying the energy allocation method or the system boundary assumptions described in step 2, wherein the allocation rules can be switched between energy allocation, mass allocation, and other schemes, and the system boundary assumptions include whether to include the planting stage within the boundary range. The methodological parameters include at least byproduct allocation rules and system boundary assumptions.
[0035] Example 2 A life cycle assessment (Life Cycle Assessment) system for straw-based Fischer-Tropsch synthesis of aviation fuel, the system being used to implement the method described in Example 1, includes a process simulation module, an inventory compilation module, an environmental impact assessment (EIA) module, and a sensitivity analysis module connected in sequence. The process simulation module performs step 1, establishing a full-process steady-state model and outputting material balance and energy balance data. The inventory compilation module performs step 2, compiling a standardized full-process Life Cycle Inventory using the material balance and energy balance data as the source of the foreground inventory data. The EIA module performs step 3, importing the Life Cycle Inventory into a localized Life Cycle Assessment platform and establishing sub-process modules according to Life Cycle stages, outputting environmental impact characterization results for a baseline scenario. The sensitivity analysis module performs step 4, conducting disturbance analyses on micro-process parameters, macro-supply chain parameters, and methodological parameters, and outputting sensitivity ranking and robustness assessment results according to the SRC (Sensitivity Rating Detection and Reliability) criteria.
[0036] The above description is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.
Claims
1. A life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel, characterized in that, Includes the following steps: Step 1, Full-process simulation: Taking the pretreated straw as the starting point of the feed, a full-process steady-state process model is established using the sequential modular method, and the full-process material balance data and energy balance data are output. Step 2, Lifecycle Inventory Compilation: Using the full-process material balance data and energy balance data output in Step 1 as the source of prospective inventory data, establish functional units and system boundaries, allocate upstream environmental loads to multiple products according to the energy allocation method, evaluate the quality of inventory data through inventory data quality evaluation indicators, and output a standardized full-process lifecycle inventory. Step 3, Localized Life Cycle Environmental Impact Assessment: Based on the standardized full-process life cycle list output in Step 2, sub-process modules are established according to the life cycle stage. The background database and characterization methods of the localized life cycle assessment platform are called to output the full life cycle environmental impact characterization results of the baseline scenario. Step 4, Three-level parameter stratified sensitivity analysis: Based on the full life cycle environmental impact characterization results in Step 3, disturbance analysis is carried out on the three types of parameters: micro-process parameters, macro-supply chain parameters, and methodological parameters, and the robustness judgment results are output.
2. The life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel as described in claim 1, characterized in that, In step 1, the whole-process steady-state process model includes at least a straw gasification reaction unit, a syngas conditioning unit, a Fischer-Tropsch synthesis reaction unit, a product fractionation unit, and utility units that are associated with each reaction unit.
3. The life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel as described in claim 2, characterized in that, In step 1, the Fischer-Tropsch synthesis reaction unit uses multiple sets of parallel reactions pre-calculated based on the Anderson-Schulz-Flory distribution law to characterize the carbon number distribution of the products, and introduces a chain growth factor. As a key operating parameter.
4. The life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel as described in claim 1, characterized in that, In step 2, the functional unit is aviation fuel that produces and consumes a unit of energy; the energy allocation method uses the lower heating value of each product as a weight and calculates the allocation coefficient based on the product ratio of the mass and output of each product and its corresponding lower heating value; the quality evaluation indicators of the inventory data include at least the material balance closure, the relative deviation of the energy balance, and the consistency of internal data sources.
5. The life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel as described in claim 1, characterized in that, In step 3, the life cycle stages include at least the straw collection and transportation stage, the biomass gasification and syngas purification stage, the Fischer-Tropsch synthesis and product refining stage, and the aviation fuel transportation and combustion stage.
6. The life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel as described in claim 1, characterized in that, In step 3, the localized life cycle assessment platform uses a localized process background database and supplements the missing special process data in China with internationally recognized databases.
7. The life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel as described in claim 1, characterized in that, In step 4, the micro-process parameters include at least the CO single-pass conversion rate and the Anderson-Schulz-Flory chain growth factor α; the macro-supply chain parameters include at least the hydrogen carbon intensity; and the methodological parameters include at least the by-product allocation rules and the system boundary assumptions.
8. The life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel as described in claim 1, characterized in that, The micro-level process parameter disturbances are achieved by returning to step 1 to re-execute the process simulation and lifecycle inventory update. The macro-level supply chain parameter disturbances are achieved by replacing the background data referenced in the corresponding inventory entries in step 3. The methodological parameter disturbances are achieved by modifying the energy allocation method or the system boundary assumptions described in step 2.
9. The life cycle assessment method for straw-based Fischer-Tropsch synthesis sustainable aviation fuel as described in claim 1, characterized in that, In step 4, all disturbance parameters are sorted in descending order according to the standardized sensitivity coefficient (SRC), and the full life cycle environmental impact characteristic results under each disturbance scenario are compared with the fossil aviation fuel benchmark value and compliance threshold. The robustness judgment result is output. The absolute value of the standardized sensitivity coefficient (SRC) reflects the disturbance intensity of the corresponding parameter on the full life cycle global warming potential, and the positive or negative sign reflects the direction of the impact. The fossil aviation fuel benchmark value and the compliance threshold adopt the universally recognized full life cycle GWP reference value and carbon emission reduction access threshold in the field of aviation fuel carbon accounting, respectively.
10. A system for implementing the life cycle assessment method for straw-based Fischer-Tropsch synthetic aviation fuel as described in any one of claims 1-9, characterized in that, It includes a process simulation module, an inventory preparation module, an environmental impact assessment module, and a sensitivity analysis module; the process simulation module establishes a full-process steady-state process model and outputs material balance data and energy balance data; The inventory compilation module compiles a standardized full-process lifecycle inventory; the environmental impact assessment module completes the characteristic evaluation of multiple environmental impact indicators and outputs baseline scenario results; the sensitivity analysis module performs stratified perturbations on three types of parameters and outputs sorting and robustness judgment results according to SRC. The sensitivity analysis module is bidirectionally connected to the process simulation module and the environmental impact assessment module to support retrospective recalculation of process simulation and inventory compilation under micro-process parameter perturbation scenarios.