Method for determining compliance of a waste-based aviation fuel carbon footprint and related apparatus

Abstract

The application discloses a kind of aviation fuel carbon footprint compliance judgment method based on waste and related equipment, comprising: determining the functional unit of aviation fuel carbon footprint quantification as the aviation fuel of generating unit heat, reference flow is unit mass aviation fuel, and based on the raw material characteristics of waste, set the system boundary of whole life cycle;According to the system boundary, collect the activity data of each unit process, and review the activity data to confirm that it meets the data quality requirements;Combining activity data, using carbon footprint calculation model based on greenhouse gas emission factor, global warming potential, raw material carbon footprint, greenhouse gas removal amount, low calorific value and land use change emission, calculate the product carbon footprint of aviation fuel;According to product carbon footprint and data quality, judge whether aviation fuel meets carbon footprint compliance standards or not.The application can improve the accuracy, consistency and standardization degree of waste aviation fuel carbon footprint accounting.

Description

Technical Field

[0001] This invention relates to the field of aviation fuel carbon footprint accounting technology, and in particular to a method and related equipment for judging aviation fuel carbon footprint compliance based on waste. Background Technology

[0002] Internationally, the International Civil Aviation Organization's (ICAO) Carbon Offset and Reduction Programme for International Aviation (CORSIA) sets clear carbon footprint compliance requirements for aviation fuels, stipulating that the fuel's total lifecycle carbon footprint must be below a benchmark and emissions reductions must reach at least 10%. CORSIA provides default or actual lifecycle emission calculation methods for fuels using different feedstocks and process pathways. Meanwhile, regions such as the European Union have also established their own sustainable aviation fuel certification and carbon accounting systems. Producing aviation fuel from waste materials (such as waste oils and agricultural / forestry waste) is becoming a key focus of the industry due to its combined emissions reduction potential and resource recycling value.

[0003] In existing technologies, the carbon footprint compliance assessment of aviation fuel produced from waste materials mainly refers to the default value method or general accounting framework provided by international organizations (such as ICAO). These methods typically set standard system boundaries (such as from raw material processing to fuel use) and use general calculation formulas to summarize and calculate emissions at each stage of the entire life cycle. In practical applications, enterprises collect activity data such as raw material consumption, energy use, and transportation distance, substitute them into the established formula to calculate the product's carbon footprint, and then compare it with a preset benchmark value to determine whether it meets compliance requirements.

[0004] In the process of developing this invention, the inventors discovered that existing methods have at least the following drawbacks: First, existing technologies lack specific system boundary setting standards for the characteristics of waste materials. In particular, the stages from waste collection and transportation to pretreatment are often simplified or ignored, leading to incomplete and inaccurate carbon footprint accounting. Second, the internationally accepted default value method is mainly based on data models from Europe and the United States. Their waste types, collection systems, and energy structures differ significantly from China's local practices. Directly applying these models cannot accurately reflect the emission reduction effectiveness of China's waste aviation fuel, and also creates obstacles for enterprises when applying for international certification. Third, carbon footprint accounting and raw material sustainability assessment (such as whether deforestation or land competition with food crops are involved) are usually treated as two independent stages in existing technologies. There is a lack of an integrated compliance judgment method that organically combines the two, making it difficult to comprehensively assess the overall compliance of waste aviation fuel.

[0005] Therefore, how to establish a standardized compliance method specifically for aviation fuel made from waste, covering the entire life cycle, adapting to the characteristics of China, and taking into account both carbon footprint accounting and raw material sustainability assessment is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0006] This invention provides a method, apparatus, computer equipment, and storage medium for assessing the carbon footprint compliance of aviation fuel based on waste fuel, in order to improve the accuracy of carbon footprint accounting and the efficiency of compliance assessment for aviation fuel waste.

[0007] To address the aforementioned technical problems, embodiments of this application provide a method for determining compliance with aviation fuel carbon footprint based on waste materials, including: The functional unit for quantifying the carbon footprint of aviation fuel is determined to be aviation fuel that generates a unit of heat, the baseline flow is aviation fuel per unit mass, and based on the raw material characteristics of waste, the system boundary of the product life cycle is set as the entire life cycle. The system boundary includes at least the raw material collection unit process, the raw material transportation unit process, the raw material processing unit process, the fuel production unit process, the fuel use unit process, and the waste disposal unit process. Based on the system boundary, activity data of each unit process is collected, and the collected activity data is reviewed to confirm that the activity data meets the preset data quality requirements. Based on the collected activity data, a carbon footprint calculation model is used to calculate the carbon footprint of aviation fuel. The carbon footprint calculation model is based on greenhouse gas emission factors, global warming potential, raw material carbon footprint, greenhouse gas removal, lower heating value, and land use change emissions to determine the carbon footprint of the product. Based on the product's carbon footprint and the data quality, determine whether aviation fuel made from waste materials meets the preset carbon footprint compliance standards.

[0008] Optionally, setting the system boundary further includes: Identify the unit processes that need to be added, including at least one of the following: auxiliary material acquisition unit process, fuel blending unit process, fuel refueling unit process, storage unit process, transportation unit process, and waste disposal unit process; The supplementary unit process is incorporated into the system boundary.

[0009] Optionally, the collection of activity data in each unit process includes: For the production or collection stage of waste raw materials, transportation information and waste information are obtained. The transportation information includes the type of transportation vehicle, transportation distance and energy type, and the waste information includes the type of waste and the amount of waste to be processed. Based on the transportation information and the waste information, activity data for carbon footprint calculation is generated.

[0010] Optionally, the data verification of the collected activity data includes: Establish the mass balance or energy balance relationship of the unit process; The activity data is compared and analyzed based on the mass balance relationship or energy balance relationship to confirm that the activity data meets the preset data quality requirements.

[0011] Optionally, a carbon footprint calculation model is used to calculate the product carbon footprint of aviation fuel, including: Obtain the consumption AD of the i-th type of fuel in the m-th stage within the system boundary. m,i The corresponding nth greenhouse gas emission factor EF m,i,n And the 100-year global warming potential (GWP) of the nth greenhouse gas n ; Obtain the consumption IN of the j-th type of raw material or energy in the m-th stage within the system boundary. m,j And the carbon footprint (CFP) of the raw materials or energy products. j ; Obtain the greenhouse gas removal R per unit mass of aviation fuel produced and the total energy E contained in the final sustainable aviation fuel output. SAF Total energy E of co-produced by-products co-product Greenhouse gas emissions (DLUC) resulting from changes in carbon storage caused by land use change of type j j ; The carbon footprint (CFP) of the product is calculated using the following formula: .

[0012] Optionally, when calculating the product carbon footprint using the formula, greenhouse gas emissions are treated as positive values ​​and greenhouse gas removals are treated as negative values ​​and summed up.

[0013] Optionally, when the waste is non-land-based waste, the greenhouse gas emissions (DLUC) resulting from the change in carbon storage caused by land use change are... j The value is zero.

[0014] To address the aforementioned technical problems, this application also provides a device for determining the carbon footprint compliance of aviation fuel based on waste materials, comprising: The boundary setting module is used to determine that the functional unit for quantifying the carbon footprint of aviation fuel is aviation fuel that generates a unit of heat, the baseline flow is aviation fuel per unit mass, and based on the raw material characteristics of waste, the system boundary of the product life cycle is set as the entire life cycle. The system boundary includes at least the raw material collection unit process, the raw material transportation unit process, the raw material processing unit process, the fuel production unit process, the fuel use unit process, and the waste disposal unit process. The data verification module is used to collect activity data in each unit process according to the system boundary, and to verify the collected activity data to confirm that the activity data meets the preset data quality requirements. The footprint calculation module is used to calculate the carbon footprint of aviation fuel by combining the collected activity data and using a carbon footprint calculation model. The carbon footprint calculation model is based on greenhouse gas emission factors, global warming potential, raw material carbon footprint, greenhouse gas removal, lower heating value and land use change emissions to determine the carbon footprint of the product. The compliance assessment module is used to determine whether aviation fuel made from waste materials meets the preset carbon footprint compliance standards based on the product's carbon footprint and the data quality.

[0015] To address the aforementioned technical problems, this application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the aforementioned waste-based aviation fuel carbon footprint compliance assessment method.

[0016] To address the aforementioned technical problems, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method for determining compliance with the carbon footprint of aviation fuel based on waste.

[0017] The present invention provides a method, apparatus, computer equipment, and storage medium for assessing the carbon footprint compliance of aviation fuel based on waste materials. This method first determines the functional unit and baseline flow, then specifically delineates the entire lifecycle boundary of waste raw materials, covering collection, transportation, processing, production, use, and disposal, avoiding accounting loopholes caused by conventional methods neglecting the upstream stages of waste disposal. Next, it collects and verifies activity data from each stage within the boundary to ensure the data used in the calculation is authentic and reliable. Then, it employs a carbon footprint model that comprehensively considers emission factors, global warming potential, raw material carbon footprint, removal volume, calorific value, and land use change to calculate the results, making them closer to actual production conditions. Finally, it combines product carbon footprint and data quality to determine compliance standards. This makes the entire accounting process more targeted, the data more objective and accurate, and improves the accuracy of waste aviation fuel carbon footprint accounting and the standardization of compliance assessment. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is an exemplary system architecture diagram to which this application can be applied; Figure 2 This is a flowchart of an embodiment of the waste aviation fuel carbon footprint compliance assessment method of this application; Figure 3 This is a schematic diagram of a structure of an embodiment of the waste aviation fuel carbon footprint compliance assessment device according to this application; Figure 4 This is a schematic diagram of the structure of one embodiment of the computer device according to this application. Detailed Implementation

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein in the specification of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having," and any variations thereof, in the specification, claims, and foregoing drawings of this application, are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification, claims, or foregoing drawings of this application are used to distinguish different objects, not to describe a particular order.

[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Please see Figure 1 ,like Figure 1As shown, the system architecture 100 may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired or wireless communication links, or fiber optic cables, etc.

[0024] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc.

[0025] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices with displays and support web browsing, including but not limited to desktop computers, tablet computers, and laptop computers.

[0026] Server 105 can be a server that provides various services, such as a backend server that supports the pages displayed on the first terminal device 101, the second terminal device 102, and the third terminal device 103.

[0027] It should be noted that the aviation fuel carbon footprint compliance assessment method based on waste provided in this application embodiment is executed by the server, and correspondingly, the aviation fuel carbon footprint compliance assessment device based on waste is set in the server.

[0028] It should be understood that Figure 1 The number of terminal devices, networks, and servers shown is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included. Specifically, the first terminal device 101, the second terminal device 102, and the third terminal device 103 in this embodiment can correspond to an actual application system in production.

[0029] Please see Figure 2 , Figure 2 This invention illustrates a method for determining the carbon footprint compliance of aviation fuel based on waste fuel, as provided in an embodiment of the present invention, and applies this method to... Figure 1 Taking the server-side as an example, the details are as follows: S201: The functional unit for quantifying the carbon footprint of aviation fuel is determined to be aviation fuel that generates a unit of heat, the baseline flow is aviation fuel per unit mass, and based on the raw material characteristics of waste, the system boundary of the product life cycle is set as the entire life cycle. The system boundary includes at least the raw material collection unit process, the raw material transportation unit process, the raw material processing unit process, the fuel production unit process, the fuel use unit process, and the waste disposal unit process.

[0030] As an alternative approach, in actual accounting, the functional unit is usually defined as 1 megajoule (MJ) of heat, and the baseline flow is defined as 1 ton of aviation fuel, in order to align with international standards such as CORSIA. It should be noted that the role of the functional unit is to provide a standardized measurement reference for carbon footprint accounting, making aviation fuels produced from different raw materials and using different processes comparable.

[0031] S202: Based on the system boundary, collect activity data from each unit process and review the collected activity data to confirm that the activity data meets the preset data quality requirements.

[0032] This embodiment, based on the inherent characteristics of waste materials, specifically sets the system boundary of the product lifecycle as the entire lifecycle. Unlike conventional fuels, waste (such as waste cooking oil and agricultural and forestry straw) often undergoes external processes such as decentralized collection, temporary storage, and preliminary sorting before entering the formal processing stage. Excluding these processes from the boundary would lead to a significant underestimation of the carbon footprint. Therefore, the system boundary set in this embodiment includes at least the following unit processes: raw material collection unit process, raw material transportation unit process, raw material processing unit process, fuel production unit process, fuel use unit process, and waste disposal unit process.

[0033] Specifically, the raw material collection unit process covers the activities of collecting waste from its source (such as restaurants or farms) to transfer stations or pretreatment plants; the raw material transportation unit process includes the emissions corresponding to the fuel consumed when waste is transferred between different locations; the raw material processing unit process refers to the pretreatment operations such as impurity removal, dehydration, and esterification of waste; the fuel production unit process involves core chemical reactions such as hydrodeoxygenation and isomerization to convert waste into aviation fuel; the fuel use unit process refers to the stage in which aviation fuel is burned in aircraft engines to generate thrust; and the waste disposal unit process includes the treatment and emission of waste residue, waste liquid, and waste gas generated during the production process.

[0034] It should be noted that for common raw materials such as waste cooking oil, the collection and transportation of raw materials are often the main contributors to the carbon footprint, and therefore must be included in the boundary.

[0035] Furthermore, if other auxiliary processes are involved in actual production, such as fuel blending (mixing pure bio-jet fuel with conventional jet fuel in a certain proportion), fuel filling (injecting finished fuel into aircraft fuel tanks), intermediate storage (breathing losses in tank areas), and secondary transportation inside and outside the plant, this embodiment also allows these unit processes to be added to the system boundary, as long as their data are available and their contribution to the carbon footprint is not negligible. It should be understood that the above boundary setting method ensures the integrity of the entire chain from "waste generation source" to "fuel combustion emissions," avoiding the omission of key emission sources due to boundary segmentation.

[0036] Take, for example, a company that uses waste cooking oil to produce aviation fuel. The collection process covers the company's oil recycling agreements with 300 catering businesses throughout the city, with collection vehicles picking up the waste oil twice a week. The transportation process records the mileage and diesel consumption of each collection vehicle. The pretreatment process includes heating, settling, and filtration for impurity removal within the plant. The hydrogenation process takes place in a high-temperature, high-pressure reactor. The final product is transported by tanker truck to the airport fuel depot, where it is blended with conventional aviation kerosene at a 10% ratio and then fueled into aircraft. In this example, the system boundary clearly encompasses the entire process from the collection of waste cooking oil to the combustion of the blended fuel on the aircraft.

[0037] In summary, this embodiment, by clearly defining functional units and baseline flows, and setting system boundaries covering the entire lifecycle of waste materials including collection, transportation, processing, production, use, and disposal, provides a unified, complete, and targeted accounting framework for subsequent activity data collection and carbon footprint calculation. This effectively improves the standardization and boundary integrity of waste aviation fuel carbon footprint accounting, avoiding accounting deviations caused by arbitrary boundary settings or missing key links.

[0038] In an optional implementation, step S202, setting the system boundary further includes: Identify the unit processes that need to be added, including at least one of the following: auxiliary material acquisition unit process, fuel blending unit process, fuel refueling unit process, storage unit process, transportation unit process, and waste disposal unit process; Incorporate the supplementary unit processes into the system boundary.

[0039] In an optional implementation, step S202 involves collecting activity data from each unit process, including: For the production or collection stage of waste materials, obtain transportation information and waste information. Transportation information includes the type of transportation vehicle, transportation distance and energy type, and waste information includes the type of waste and the amount of waste to be processed. Based on transportation and waste information, activity data is generated for carbon footprint calculation.

[0040] In an optional implementation, step S202 involves data verification of the collected activity data, including: Establish the mass balance or energy balance relationship of the unit process; Based on the mass balance relationship or energy balance relationship, the activity data are compared and analyzed to confirm that the activity data meets the preset data quality requirements.

[0041] After collecting the activity data of each unit process within the system boundary, this embodiment reviews the data to confirm that it is authentic, reliable, and meets the preset data quality requirements.

[0042] Specifically, the verification process involves establishing mass or energy balance relationships. For any unit process (e.g., a raw material pretreatment unit or a fuel production unit), the total mass or energy of its input materials should equal the total mass or energy of its output materials (plus reasonable losses). Using this conservation principle, the collected input and output data can be compared and analyzed to check if the deviation is within acceptable limits. If the deviation is large, it indicates that the activity data for that unit process may contain omissions, duplications, or errors, requiring re-verification.

[0043] It should be noted that the establishment of mass balance or energy balance is not limited to a single unit process; cross-validation can also be performed at the entire system boundary or between multiple related unit processes. As a preferred approach, this embodiment employs both mass balance and energy balance methods simultaneously to double-verify the accuracy of the data. For example, in the fuel production unit, the mass of the input raw materials (such as waste oil) plus the mass of the input auxiliary materials such as hydrogen and catalysts should be approximately equal to the sum of the output mass of aviation fuel, the mass of co-products (such as naphtha and propane), and the mass of waste residue, waste liquid, and waste gas. The allowable deviation range for mass balance can be set according to actual process fluctuations, typically controlled within ±2%. For energy balance, the difference between the total calorific value of the input energy and the calorific value of the output products and co-products plus the heat loss is compared to determine if the difference is reasonable.

[0044] To illustrate with a specific example, in the process of producing aviation fuel from a batch of waste cooking oil, the collected data is as follows: Input: 100 tons of waste cooking oil; Input: 2 tons of hydrogen; Input: 0.5 tons of catalyst; Output: 65 tons of aviation fuel; Output: 15 tons of naphtha (co-product); Output: 18 tons of wastewater; Output: approximately 4.5 tons of waste gas and losses. The calculated total input mass is 102.5 tons, and the total output mass is also 102.5 tons (65+15+18+4.5=102.5), with a deviation of zero, fully meeting the mass balance requirements, indicating that the activity data of this unit process is reliable. Conversely, if in a certain calculation the total input mass is 105 tons, but the output is only 98 tons, with a deviation exceeding 5%, then it is necessary to check whether there are any omitted waste residues or measurement errors.

[0045] Furthermore, for unit processes where a quality balance cannot be directly established (such as simple transportation processes), comparative analysis of energy balance or emission factors can be used as alternative verification methods. One option is to compare the fuel energy consumed by the unit process with theoretical requirements to determine whether it is within a reasonable range. In addition, the collected activity data can be compared horizontally with industry defaults, historical data, or typical data of similar processes. If the difference exceeds a preset threshold, a data review process is triggered.

[0046] It should be understood that the core objective of data verification is to provide reliable input for subsequent carbon footprint calculations. Through the comparative analysis of the aforementioned mass balance or energy balance, abnormal or missing data can be effectively identified, confirming whether the activity data truly meets the preset data quality requirements (such as completeness, accuracy, and consistency). Only after verification is passed will the collected activity data be used in the carbon footprint calculation model.

[0047] This embodiment establishes mass or energy balance relationships for unit processes and compares and analyzes activity data to verify its accuracy and completeness, effectively improving the credibility of the original data. This review mechanism avoids distortion of carbon footprint calculation results due to data errors or omissions, thereby enhancing the scientific nature of the entire compliance assessment method and the credibility of the results.

[0048] S203: Based on the collected activity data, the carbon footprint of aviation fuel is calculated using a carbon footprint calculation model. The carbon footprint calculation model is based on greenhouse gas emission factors, global warming potential, raw material carbon footprint, greenhouse gas removal, lower heating value, and land use change emissions to determine the product carbon footprint.

[0049] In an optional implementation, step S203 involves calculating the product carbon footprint of aviation fuel using a carbon footprint calculation model, including: Obtain the consumption of the i-th type of fuel in the m-th stage within the system boundary (AD) m,i The corresponding nth greenhouse gas emission factor EF m,i,n And the 100-year global warming potential (GWP) of the nth greenhouse gas n ; Obtain the consumption IN of the j-th type of raw material or energy in the m-th stage within the system boundary. m,j And the carbon footprint (CFP) of the raw materials or energy products. j ; Obtain the greenhouse gas removal R per unit mass of aviation fuel produced and the total energy E contained in the final sustainable aviation fuel output. SAF Total energy E of co-produced by-products co-product Greenhouse gas emissions (DLUC) resulting from changes in carbon storage caused by land use change of type jj ; The product's carbon footprint (CFP) is calculated using the following formula: .

[0050] In one alternative implementation, when calculating the product's carbon footprint using a formula, greenhouse gas emissions are treated as positive values ​​and greenhouse gas removals are treated as negative values ​​for aggregation.

[0051] In an alternative implementation, when the waste is non-land-based, the greenhouse gas emissions (DLUC) resulting from changes in carbon storage due to land use change are... j The value is zero.

[0052] S204: Based on the product's carbon footprint and data quality, determine whether aviation fuel made from waste materials meets the preset carbon footprint compliance standards.

[0053] After calculating the carbon footprint (CFP value) of aviation fuel products, this embodiment enters the compliance assessment stage.

[0054] Specifically, the calculated CFP value is compared with a preset carbon footprint compliance standard. This preset standard usually refers to the requirements under the ICAO CORSIA mechanism, which stipulates that the carbon footprint of aviation fuel throughout its entire life cycle must be lower than a specified benchmark value, and the emission reduction achieved compared to the benchmark fuel must be at least 10%.

[0055] As an alternative, the benchmark value can be the default emission value of fossil aviation fuel provided by CORSIA (such as 89 gCO2e / MJ), or other thresholds can be set according to actual policy requirements.

[0056] It should be noted that a single CFP value comparison cannot completely determine compliance conclusions; data quality is also a crucial factor in the judgment. In this embodiment, data quality assessment is integrated throughout the initial data collection and review stages. Assessment indicators include completeness (whether it covers all relevant emission sources within the system boundary), accuracy (the degree to which activity data and emission factors closely resemble the actual situation), and representativeness (whether the time, region, and technological level reflected in the data match the evaluation object). Each indicator can be divided into several levels (e.g., excellent, good, average, poor), ultimately forming a judgment on the credibility of the entire batch of fuel carbon footprint accounting results.

[0057] In terms of judgment logic, this embodiment adopts a comprehensive judgment rule: only when the product's carbon footprint is lower than the preset standard (i.e., meets emission reduction requirements) and the data quality level meets the preset minimum requirements (e.g., completeness, accuracy, and representativeness are all no lower than "good"), is the batch of aviation fuel made from waste materials judged to comply with carbon footprint compliance standards. If the CFP value meets the standard but the data quality is poor (e.g., key data is missing or a large number of default values ​​are used to replace actual measurements), the judgment result may be marked as "pending review" or "unqualified," prompting the user to supplement higher quality data for recalculation. Conversely, even if the data quality is good, if the CFP value exceeds the threshold, it is directly judged as non-compliant.

[0058] Taking aviation fuel produced by a company using agricultural and forestry straw as an example, the calculated CFP value is 35 gCO2e / MJ. The data quality assessment results are: "Excellent" in completeness (all unit processes are covered), "Good" in accuracy (some transportation distances are measured using maps instead of GPS records), and "Excellent" in representativeness (data is taken from the current production batch). The preset CORSIA benchmark value is 89 gCO2e / MJ, representing an emission reduction of approximately 60%, far exceeding the minimum requirement of 10%. Based on the data quality level meeting the requirements, this embodiment ultimately determines that this batch of fuel complies with the carbon footprint compliance standard and outputs a compliance report.

[0059] Furthermore, the output format of the compliance assessment can be flexibly configured according to actual needs. As a preferred implementation, this embodiment generates a structured result after the assessment is completed. This result includes at least: the product's carbon footprint value, the comparison result with the benchmark value (such as the percentage of emission reduction), the data quality assessment level, the compliance conclusion (qualified / unqualified), and the recommendation explanation (such as what data needs to be supplemented). This result can be used for internal carbon management of enterprises, to provide procurement basis for airlines, or as supporting material for applying for international sustainable fuel certification.

[0060] It is important to understand that the carbon footprint compliance standards preset in this embodiment are not fixed. As international and domestic policies change or technology advances, users can update the standard parameters according to actual circumstances. For example, the CORSIA mechanism will publish different benchmark values ​​at different stages (such as 2024-2026, 2027-2029). This embodiment allows users to flexibly configure these values ​​without modifying the overall framework of the judgment method.

[0061] It should be understood that by comparing the product's carbon footprint value with preset compliance standards and simultaneously considering the data quality level, a complete, clear, and operable set of comprehensive evaluation rules has been formed. Compared with the crude method of making judgments based solely on carbon footprint values, this embodiment effectively avoids the risk of misjudgment due to data quality defects, thereby improving the reliability and credibility of compliance judgment results and providing rigorous technical support for market access and emission reduction certification of waste aviation fuel.

[0062] This embodiment first defines the functional units and baseline flow, then specifically delineates the entire lifecycle boundary of waste raw materials, covering collection, transportation, processing, production, use, and disposal, avoiding accounting loopholes caused by conventional methods neglecting the upstream stages of waste disposal. Next, it collects and verifies activity data at each stage within the boundary to ensure the data used in the calculation is accurate and reliable. Then, it employs a carbon footprint model that comprehensively considers emission factors, global warming potential, raw material carbon footprint, removal volume, calorific value, and land use change, making the results closer to actual production conditions. Finally, it combines product carbon footprint and data quality to determine compliance standards. This makes the entire accounting process more targeted, the data more objective and accurate, and improves the accuracy of waste aviation fuel carbon footprint accounting and the standardization of compliance judgment.

[0063] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0064] Figure 3 A schematic diagram of a waste-based aviation fuel carbon footprint compliance assessment device is shown, corresponding one-to-one with the waste-based aviation fuel carbon footprint compliance assessment method described in the above embodiments. (See diagram for example.) Figure 3 As shown, the functional modules of this waste-based aviation fuel carbon footprint compliance assessment device are described in detail below: The boundary setting module 31 is used to determine that the functional unit for quantifying the carbon footprint of aviation fuel is aviation fuel that generates a unit of heat, the reference flow is aviation fuel per unit mass, and based on the raw material characteristics of waste, the system boundary of the product life cycle is set as the entire life cycle. The system boundary includes at least the raw material collection unit process, the raw material transportation unit process, the raw material processing unit process, the fuel production unit process, the fuel use unit process, and the waste disposal unit process. The data verification module 32 is used to collect activity data in each unit process according to the system boundary, and to verify the collected activity data to confirm that the activity data meets the preset data quality requirements. The footprint calculation module 33 is used to combine the collected activity data and use a carbon footprint calculation model to calculate the carbon footprint of aviation fuel products. The carbon footprint calculation model is based on greenhouse gas emission factors, global warming potential, raw material carbon footprint, greenhouse gas removal, lower heating value and land use change emissions to determine the carbon footprint of the products. The compliance assessment module 34 is used to determine whether aviation fuel made from waste materials meets the preset carbon footprint compliance standards based on the product's carbon footprint and the data quality.

[0065] Specific limitations regarding the waste-based aviation fuel carbon footprint compliance assessment device can be found in the limitations of the waste-based aviation fuel carbon footprint compliance assessment method described above, and will not be repeated here. Each module in the aforementioned waste-based aviation fuel carbon footprint compliance assessment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0066] To address the aforementioned technical problems, embodiments of this application also provide a computer device. Please refer to [link / reference needed]. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0067] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are interconnected via a system bus. It should be noted that only the computer device 4 with components connected to the memory 41, processor 42, and network interface 43 is shown in the figure; however, it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented alternatively. Those skilled in the art will understand that the computer device described here is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0068] The computer device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device can interact with the user via a keyboard, mouse, remote control, touchpad, or voice control.

[0069] The memory 41 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or D-interface display memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as the hard disk or memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device 4. Of course, the memory 41 may include both the internal storage unit and its external storage device of the computer device 4. In this embodiment, the memory 41 is typically used to store the operating system and various application software installed on the computer device 4, such as program code for a method for determining compliance with the carbon footprint of aviation fuel based on waste. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or will be output.

[0070] In some embodiments, the processor 42 may be a central processing unit (CPU), controller, microcontroller, microprocessor, or other data processing chip. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run program code stored in the memory 41 or process data, for example, to run program code for a method for determining compliance with the carbon footprint of aviation fuel based on waste fuel.

[0071] The network interface 43 may include a wireless network interface or a wired network interface, which is typically used to establish communication connections between the computer device 4 and other electronic devices.

[0072] This application also provides another embodiment, namely, a computer-readable storage medium storing an interface display program that can be executed by at least one processor to cause the at least one processor to perform the steps of the waste-based aviation fuel carbon footprint compliance assessment method described above.

[0073] Obviously, the embodiments described above are only some embodiments of this application, not all embodiments. The accompanying drawings show preferred embodiments of this application, but do not limit the patent scope of this application. This application can be implemented in many different forms; rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the disclosure of this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this application's specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the scope of patent protection of this application.

Claims

1. A method for assessing the carbon footprint compliance of aviation fuel based on waste materials, characterized in that, include: The functional unit for quantifying the carbon footprint of aviation fuel is determined to be aviation fuel that generates a unit of heat, the baseline flow is aviation fuel per unit mass, and based on the raw material characteristics of waste, the system boundary of the product life cycle is set as the entire life cycle. The system boundary includes at least the raw material collection unit process, the raw material transportation unit process, the raw material processing unit process, the fuel production unit process, the fuel use unit process, and the waste disposal unit process. Based on the system boundary, activity data of each unit process is collected, and the collected activity data is reviewed to confirm that the activity data meets the preset data quality requirements. Based on the collected activity data, a carbon footprint calculation model is used to calculate the carbon footprint of aviation fuel. The carbon footprint calculation model is based on greenhouse gas emission factors, global warming potential, raw material carbon footprint, greenhouse gas removal, lower heating value, and land use change emissions to determine the carbon footprint of the product. Based on the product's carbon footprint and the data quality, determine whether aviation fuel made from waste materials meets the preset carbon footprint compliance standards.

2. The method according to claim 1, characterized in that, The setting of the system boundary also includes: Identify the unit processes that need to be added, including at least one of the following: auxiliary material acquisition unit process, fuel blending unit process, fuel refueling unit process, storage unit process, transportation unit process, and waste disposal unit process; The supplementary unit process is incorporated into the system boundary.

3. The method according to claim 1, characterized in that, The collection of activity data in each unit process includes: For the production or collection stage of waste raw materials, transportation information and waste information are obtained. The transportation information includes the type of transportation vehicle, transportation distance and energy type, and the waste information includes the type of waste and the amount of waste to be processed. Based on the transportation information and the waste information, activity data for carbon footprint calculation is generated.

4. The method according to claim 1, characterized in that, The data review of the collected activity data includes: Establish the mass balance or energy balance relationship of the unit process; The activity data is compared and analyzed based on the mass balance relationship or energy balance relationship to confirm that the activity data meets the preset data quality requirements.

5. The method according to claim 1, characterized in that, The carbon footprint of aviation fuel is calculated using a carbon footprint calculation model, including: Obtain the consumption AD of the i-th type of fuel in the m-th stage within the system boundary. m,i The corresponding nth greenhouse gas emission factor EF m,i,n And the 100-year global warming potential (GWP) of the nth greenhouse gas n ; Obtain the consumption IN of the j-th type of raw material or energy in the m-th stage within the system boundary. m,j And the carbon footprint (CFP) of the raw materials or energy products. j ; Obtain the greenhouse gas removal R per unit mass of aviation fuel produced and the total energy E contained in the final sustainable aviation fuel output. SAF Total energy E of co-produced by-products co-product Greenhouse gas emissions (DLUC) resulting from changes in carbon storage caused by land use change of type j j ; The carbon footprint (CFP) of the product is calculated using the following formula: 。 6. The method according to claim 5, characterized in that, When calculating the carbon footprint of a product using the aforementioned formula, greenhouse gas emissions are treated as positive values ​​and greenhouse gas removals are treated as negative values ​​for aggregation.

7. The method according to claim 5, characterized in that, When the waste is non-land-based, the greenhouse gas emissions (DLUC) resulting from changes in carbon storage caused by land use change are... j The value is zero.

8. A device for determining compliance with the carbon footprint of aviation fuel based on waste materials, characterized in that, include: The boundary setting module is used to determine that the functional unit for quantifying the carbon footprint of aviation fuel is aviation fuel that generates a unit of heat, the baseline flow is aviation fuel per unit mass, and based on the raw material characteristics of waste, the system boundary of the product life cycle is set as the entire life cycle. The system boundary includes at least the raw material collection unit process, the raw material transportation unit process, the raw material processing unit process, the fuel production unit process, the fuel use unit process, and the waste disposal unit process. The data verification module is used to collect activity data in each unit process according to the system boundary, and to verify the collected activity data to confirm that the activity data meets the preset data quality requirements. The footprint calculation module is used to calculate the carbon footprint of aviation fuel by combining the collected activity data and using a carbon footprint calculation model. The carbon footprint calculation model is based on greenhouse gas emission factors, global warming potential, raw material carbon footprint, greenhouse gas removal, lower heating value and land use change emissions to determine the carbon footprint of the product. The compliance assessment module is used to determine whether aviation fuel made from waste materials meets the preset carbon footprint compliance standards based on the product's carbon footprint and the data quality.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the waste-based aviation fuel carbon footprint compliance assessment method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the waste-based aviation fuel carbon footprint compliance assessment method as described in any one of claims 1 to 7.

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