Carbon footprint determination method, device and equipment for waste fan blade recovery treatment

Abstract

The invention provides a carbon footprint determination method, device and equipment for waste fan blade recovery treatment, and relates to the technical field of waste fan blade recovery. In some embodiments of the invention, the method comprises the following steps: collecting carbon footprint data of each stage of waste fan blade recovery treatment; determining carbon emission data of each stage according to the carbon footprint data of each stage; generating a carbon footprint report according to the carbon emission data of each stage; according to the method and the device, the carbon footprint data of each stage of waste fan blade recovery treatment is automatically collected, the carbon emission data of each stage is automatically calculated, then the carbon footprint of waste fan blade recovery treatment is generated, and the carbon footprint determination efficiency in the waste fan blade recovery treatment process is improved.

Description

Technical Field

[0001] This disclosure relates to the field of waste wind turbine blade recycling technology, and in particular to a method, apparatus and equipment for determining the carbon footprint of waste wind turbine blade recycling and disposal. Background Technology

[0002] With the rapid development of the wind power industry, a large number of wind turbine blades need to be recycled and disposed of after reaching the end of their service life. The recycling and disposal process of used wind turbine blades involves multiple stages, including transportation, dismantling, and material recycling, which generates certain carbon emissions. However, existing technologies lack a systematic method to accurately calculate and manage the carbon footprint of the used wind turbine blade recycling and disposal process.

[0003] Currently, there is a lack of a method for determining the carbon footprint of the waste wind turbine blade recycling and disposal process, and the efficiency of determining the carbon footprint of the waste wind turbine blade recycling and disposal process is low. Summary of the Invention

[0004] This disclosure provides a method, apparatus, and equipment for determining the carbon footprint of waste wind turbine blade recycling and disposal, so as to at least solve the problem of low efficiency in determining the carbon footprint in the existing waste wind turbine blade recycling and disposal process.

[0005] The technical solution disclosed herein is as follows: This disclosure provides a method for determining the carbon footprint of recycling and disposing of used wind turbine blades, including: Collect carbon footprint data at each stage of the recycling and disposal of used wind turbine blades; Based on the carbon footprint data for each stage, determine the carbon emission data for each stage; A carbon footprint report is generated based on the carbon emission data for each of the stated stages.

[0006] Optionally, the stage includes a transportation stage, the carbon footprint data of which includes fuel consumption, and determining the carbon emission data for each stage based on the carbon footprint data of each stage includes: The carbon emission data for the transportation phase are calculated based on the fuel consumption and carbon emission factor; wherein the carbon emission factor is related to the fuel type.

[0007] Optionally, the stages include: a transportation stage, wherein the carbon footprint data for the transportation stage includes: transportation distance and energy consumption per unit distance; and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data for the transportation phase are calculated based on the transportation distance, energy consumption per unit distance, and carbon emission factor; wherein the carbon emission factor is related to the fuel type.

[0008] Optionally, the stage includes a dismantling stage, wherein the carbon footprint data for the dismantling stage includes energy consumption of the dismantling equipment, and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data of the dismantling stage are calculated based on the energy consumption and carbon emission factor of the dismantling equipment; wherein the carbon emission factor is related to the fuel type.

[0009] Optionally, the stage includes a dismantling stage, wherein the carbon footprint data for the dismantling stage includes dismantling efficiency and theoretical energy consumption, and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data of the dismantling stage are calculated based on the dismantling efficiency, the theoretical energy consumption, and the carbon emission factor; wherein the carbon emission factor is related to the fuel type.

[0010] Optionally, the stage includes a material recycling stage, wherein the carbon footprint data for the material recycling stage includes material recycling rate and energy consumption of the recycling process, and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data of the material recycling stage are calculated based on the material recovery rate, energy consumption of the recycling process, and carbon emission factor; wherein the carbon emission factor is related to the fuel type.

[0011] Optionally, the stages include: a material recycling stage, which includes: a collection and transportation stage, a recycling treatment stage, and a reuse stage; the carbon footprint data for the collection and transportation stage includes: recycling transportation distance and recycling transportation volume; the carbon footprint data for the recycling treatment stage includes: recycling energy consumption and recycling rate; the carbon footprint data for the reuse stage includes: reuse energy consumption; and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data for the collection and transportation phases are calculated based on the recycling and transportation distance, the recycling and transportation volume, and the transportation energy consumption factor. The carbon emission data of the recycling process are calculated based on the energy consumption, recovery rate, and carbon emission factor, wherein the carbon emission factor is related to the fuel type. Calculate the carbon emission data for the recycling stage based on the renewable energy consumption and the carbon emission factor. The carbon emission data for the material recycling stage is calculated based on the carbon emission data from the collection and transportation stage, the recycling and processing stage, and the reuse stage.

[0012] Optionally, the stage includes a waste treatment stage, wherein the carbon footprint data of the waste treatment stage includes treatment energy consumption and treatment volume, and determining the carbon emission data of each stage based on the carbon footprint data of each stage includes: The carbon emission data for the waste treatment stage are calculated based on the energy consumption, processing volume, and carbon emission factor.

[0013] This disclosure also provides a carbon footprint determination device for the recycling and disposal of waste wind turbine blades, including: The data acquisition module is used to collect carbon footprint data at each stage of the recycling and disposal of waste wind turbine blades; A determination module is used to determine carbon emission data for each stage based on the carbon footprint data for each stage. A generation module is used to generate a carbon footprint report based on the carbon emission data for each of the said stages.

[0014] This disclosure also provides an electronic device, including: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the steps in the above method.

[0015] The technical solutions provided by the embodiments of this disclosure have at least the following beneficial effects: In some embodiments of this disclosure, carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades are collected; carbon emission data for each stage is determined based on the carbon footprint data for each stage; and a carbon footprint report is generated based on the carbon emission data for each stage. This disclosure automatically collects carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades, automatically calculates carbon emission data for each stage, and then generates the carbon footprint of the recycling and disposal of waste wind turbine blades, thereby improving the efficiency of carbon footprint determination in the recycling and disposal process of waste wind turbine blades.

[0016] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure, and are not intended to unduly limit this disclosure.

[0018] Figure 1 A flowchart illustrating a method for determining the carbon footprint of waste wind turbine blade recycling and disposal, provided as an exemplary embodiment of this disclosure; Figure 2A schematic diagram of the structure of a carbon footprint determination device 20 for the recycling and disposal of waste wind turbine blades provided as an exemplary embodiment of this disclosure; Figure 3 A schematic diagram of the structure of an electronic device provided for an exemplary embodiment of this disclosure. Detailed Implementation

[0019] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings.

[0020] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure.

[0021] It should be noted that the user information involved in this disclosure includes, but is not limited to, user device information and user personal information; the collection, storage, use, processing, transmission, provision and disclosure of user information in this disclosure all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0022] To address the aforementioned technical issues, in some embodiments of this disclosure, carbon footprint data for each stage of the recycling and disposal of used wind turbine blades is collected; carbon emission data for each stage is determined based on the carbon footprint data for each stage; and a carbon footprint report is generated based on the carbon emission data for each stage. This disclosure automatically collects carbon footprint data for each stage of the recycling and disposal of used wind turbine blades, automatically calculates carbon emission data for each stage, and then generates the carbon footprint of the recycling and disposal of used wind turbine blades, thereby improving the efficiency of carbon footprint determination in the recycling and disposal process of used wind turbine blades.

[0023] The technical solutions provided by the embodiments of this disclosure are described in detail below with reference to the accompanying drawings.

[0024] Figure 1 This is a flowchart illustrating a method for determining the carbon footprint of waste wind turbine blade recycling and disposal, provided as an exemplary embodiment of this disclosure. Figure 1 As shown, the method includes: S101: Collect carbon footprint data for each stage of the recycling and disposal of used wind turbine blades; S102: Determine the carbon emission data for each stage based on the carbon footprint data for each stage; S103: Generate a carbon footprint report based on carbon emission data for each stage.

[0025] In this embodiment, the executing entity in the above method can be a terminal device or a server.

[0026] The terminal device includes, but is not limited to, mobile stations (MS), mobile terminals, mobile phones, handsets, and portable equipment. This terminal device can communicate with one or more core networks via a radio access network (RAN). For example, the terminal device can be a mobile phone (or "cellular" phone), a computer with wireless communication capabilities, a computer with wireless transceiver capabilities, a virtual reality (VR) terminal device, an AR terminal device, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical care, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc. The operating systems installed on the terminal device include, but are not limited to, iOS, Android, Windows, Linux, and Mac OS. In different networks, terminals may be called by different names, such as: user equipment, mobile station, user unit, station, cellular phone, personal digital assistant, wireless modem, wireless communication device, handheld device, laptop, cordless phone, wireless local loop station, television, etc. For ease of description, this embodiment will simply refer to it as terminal device.

[0027] In this embodiment, the implementation form of the server is not limited. For example, the server can be a conventional server, a cloud server, a cloud host, a virtual center, or other server devices. The server mainly consists of a processor, hard disk, memory, system bus, and other common computer architecture types.

[0028] In this embodiment, carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades is collected; carbon emission data for each stage is determined based on the carbon footprint data for each stage; and a carbon footprint report is generated based on the carbon emission data for each stage. This disclosure automatically collects carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades, automatically calculates carbon emission data for each stage, and then generates the carbon footprint of the recycling and disposal of waste wind turbine blades, thereby improving the efficiency of carbon footprint determination in the recycling and disposal process of waste wind turbine blades.

[0029] In some embodiments of this disclosure, carbon footprint data is collected for each stage of the recycling and disposal of spent wind turbine blades. These stages include: transportation, dismantling, material recycling, and waste treatment. The carbon footprint data includes, but is not limited to: transportation distance, energy consumption of transportation vehicles, energy consumption of dismantling equipment, material recycling rate, and waste treatment methods.

[0030] In some embodiments of this disclosure, carbon emission data for each stage is determined based on carbon footprint data for each stage.

[0031] In one exemplary embodiment, the fuel consumption of the transport vehicle is known, and carbon emission data for the transport phase is determined based on carbon footprint data for that phase. One possible approach is to calculate the carbon emission data for the transport phase based on fuel consumption and a carbon emission factor, wherein the carbon emission factor is related to the fuel type.

[0032] The specific calculation formula is as follows: Carbon emissions = fuel consumption × carbon emission factor; Fuel consumption is measured in liters (L) or kilograms (kg). Carbon emission factors vary depending on the fuel; for example, diesel has a carbon emission factor of 2.6765 kg CO2 / L.

[0033] In another exemplary embodiment, given the transport distance and energy consumption per unit distance, carbon emission data for the transport phase is determined based on carbon footprint data for that phase. One possible approach is to calculate the carbon emission data for the transport phase based on the transport distance, energy consumption per unit distance, and a carbon emission factor, wherein the carbon emission factor is related to the fuel type.

[0034] The specific calculation formula is as follows: Carbon emissions = transport distance × energy consumption per unit distance × carbon emission factor; The transportation distance is measured in kilometers (km). Energy consumption per unit distance is measured in kilometers, for example, fuel or gas consumption per kilometer. The carbon emission factor is determined based on the fuel type.

[0035] It should be noted that the carbon emission coefficients for different modes of transportation can also be used directly in the calculation: Road transport: The carbon emission factor per unit freight turnover is approximately 120-200 g CO2 / (t·km).

[0036] Railway transportation: The carbon emission factor per unit freight turnover is approximately 15-25 g CO2 / (t·km).

[0037] Air transport: The carbon emission factor per unit of converted turnover is approximately 900 g CO2 / (t·km).

[0038] Waterway transportation: The carbon emission factor per unit cargo turnover is approximately 10-20 g CO2 / (t·km).

[0039] By selecting appropriate carbon emission factors and energy consumption data based on the specific mode of transportation and fuel type, the carbon emissions during the transportation process can be calculated.

[0040] In one exemplary embodiment, given the energy consumption of the dismantling equipment, the carbon emission data for the dismantling stage is determined based on the carbon footprint data of the dismantling stage. One possible approach is to calculate the carbon emission data for the dismantling stage based on the energy consumption of the dismantling equipment and a carbon emission factor, wherein the carbon emission factor is related to the fuel type.

[0041] The specific calculation formula is as follows: Carbon emissions = ∑(energy consumption of dismantling equipment × carbon emission factor) Among these, the energy consumption of the dismantling equipment refers to the amount of energy consumed during the dismantling process, expressed in kWh (electricity) or kg (fuel). Carbon emission factors vary depending on the energy source; for example, the carbon emission factor for electricity (kg CO2 / kWh) depends on the power source (e.g., coal, hydro, wind power). Carbon emission factors for fuels (e.g., diesel, natural gas) are also specified (kg CO2 / kg).

[0042] In another exemplary embodiment, given the dismantling efficiency, the carbon emission data for the dismantling stage is determined based on the carbon footprint data of the dismantling stage. One possible approach is to calculate the carbon emission data for the dismantling stage based on the dismantling efficiency, theoretical energy consumption, and carbon emission factor; where the carbon emission factor is related to the fuel type. The dismantling efficiency affects both actual energy consumption and carbon emissions. Assuming the dismantling efficiency is η (in percentage), actual energy consumption will increase due to the efficiency. The formula is as follows: Actual Energy Consumption = η Theoretical Energy Consumption The carbon emission formula is as follows: Carbon emissions = η (theoretical energy consumption) × carbon emission factor Theoretical energy consumption refers to the energy required to complete the dismantling task under ideal conditions. Dismantling efficiency η: The actual dismantling efficiency of the equipment, typically less than 1.

[0043] In one exemplary embodiment, carbon emission data for the material recycling stage is determined based on carbon footprint data from the material recycling stage. One possible approach is to calculate the carbon emission data for the material recycling stage based on the material recovery rate, energy consumption of the recycling process, and a carbon emission factor, wherein the carbon emission factor is related to the fuel type.

[0044] The calculation formula is as follows: Carbon emissions = ∑(energy consumption of recycling process i × carbon emission factor i × material recovery rate i) Wherein, recycling process energy consumption i: energy consumption of the i-th material or process, in kWh or MJ. Carbon emission factor i: carbon emission factor corresponding to energy consumption, such as the carbon emission factor of electricity (kg CO2 / kWh). Material recovery rate i: recovery rate of the i-th material, expressed as a decimal (e.g., 80% recovery rate is expressed as 0.8).

[0045] In the above embodiments, the material recycling stage includes a collection and transportation stage, a recycling treatment stage, and a reuse stage. The carbon emissions of each stage need to be calculated separately and then aggregated. One possible approach is to calculate the carbon emission data for the collection and transportation stage based on the recycling transportation distance, recycling transportation volume, and transportation energy consumption factor; calculate the carbon emission data for the recycling treatment stage based on the recycling energy consumption, recycling rate, and carbon emission factor, wherein the carbon emission factor is related to the fuel type; calculate the carbon emission data for the reuse stage based on the reuse energy consumption and carbon emission factor; and calculate the carbon emission data for the material recycling stage based on the carbon emission data from the collection and transportation stage, the recycling treatment stage, and the reuse stage.

[0046] The collection and transportation phase involves calculating the carbon emissions of used wind turbine blades transported from the decommissioning site to the recycling plant. The calculation formula is as follows: Carbon emissions from transportation = distance to recovery × energy consumption factor of transportation × amount of transportation to recovery.

[0047] The recycling and processing stage includes processes such as cutting, sorting, pyrolysis, and incineration. The calculation formula is as follows: Carbon emission treatment = energy consumption for recycling × carbon emission factor × recycling rate.

[0048] Recycling stage: Calculate the carbon emissions from the production of recycled materials. The calculation formula is as follows: Carbon emissions from recycling = Recycling energy consumption × Carbon emission factor.

[0049] It should be noted that, taking incineration as an example, 1 ton of waste blades can reduce carbon dioxide emissions by 110 kg. If pyrolysis is used, the energy consumption and carbon emission factors during the recycling process need to be determined based on specific process parameters.

[0050] In one exemplary embodiment, carbon emission data for the waste treatment stage is determined based on carbon footprint data from the waste treatment stage. One possible approach is to calculate the carbon emission data for the waste treatment stage based on treatment energy consumption, treatment volume, and carbon emission factors. The calculation formula is as follows: Carbon emissions = energy consumption for treatment × carbon emission factor × treatment volume; Among them, processing energy consumption: the energy consumption of the processing equipment during the waste treatment process, in kWh or MJ. Carbon emission factor: the carbon emission factor corresponding to the energy consumption, for example, the carbon emission factor of electricity (kg CO2 / kWh) or the carbon emission factor of fuel (kg CO2 / MJ). Processing volume: the amount of waste processed, in kg or t.

[0051] In the above embodiments, the carbon emissions are calculated according to different waste treatment methods as follows: (1) Landfill Landfilling is a traditional disposal method, but due to the large size of wind turbine blades, landfilling is costly and occupies a large amount of land. Carbon emissions during landfilling mainly come from transportation and methane emissions from the landfill itself. Assuming transportation energy consumption is Etransport (kWh / t), transportation distance is D (km), transportation energy factor is Ftransport (kg CO2 / kWh), and the landfill carbon emission factor is Flandfill (kg CO2 / t): Carbon emissions landfill = (E transportation × D transportation) + (F landfill × treatment volume) (2) Burning Incineration is a common waste disposal method that reduces waste volume and generates heat. Carbon emissions during incineration primarily originate from the combustion process itself. Carbon emissions from incineration = Processing capacity × F incineration Among them, F incineration is the carbon emission factor of incineration, which is approximately 3.4 kg CO2 / kg.

[0052] (3) Co-processing in cement kilns Cement kiln co-processing is an emerging treatment method that uses blower blades as an alternative raw material in cement production. This method can reduce carbon emissions. Carbon emissions of cement kiln = Processing capacity × F (Cement kiln) Among them, the carbon emission factor F of cement kiln co-processing is about -0.9 kg CO2 / kg, indicating that this method can reduce carbon emissions.

[0053] 3. Comprehensive carbon emission calculation If multiple treatment methods are involved, the total carbon emissions are the sum of the carbon emissions from each treatment method: Total carbon emissions = ∑ carbon emissions It should be noted that the carbon emission factors vary considerably depending on the treatment method, and the appropriate factor should be selected based on the actual treatment method.

[0054] In some embodiments of this disclosure, a carbon footprint report is generated based on carbon emission data at each stage. Specifically, the carbon footprint calculation results from each stage are summarized to generate a comprehensive carbon footprint report for the recycling and disposal of used wind turbine blades. This can be achieved using a generative large-scale model, where the carbon footprint report is generated after the report requirements are input.

[0055] In some embodiments of this disclosure, carbon reduction measures are formulated based on carbon footprint accounting results to optimize carbon emission management for the recycling and disposal of used wind turbine blades. Optimization is performed based on the aforementioned accounting results, such as using machine learning models for data processing.

[0056] In the above-described method embodiments of this disclosure, carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades are collected; carbon emission data for each stage is determined based on the carbon footprint data for each stage; and a carbon footprint report is generated based on the carbon emission data for each stage. This disclosure automatically collects carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades, automatically calculates carbon emission data for each stage, and then generates the carbon footprint of the recycling and disposal of waste wind turbine blades, thereby improving the efficiency of carbon footprint determination in the recycling and disposal process of waste wind turbine blades.

[0057] Figure 2 A schematic diagram of the structure of a carbon footprint determination device 20 for the recycling and disposal of waste wind turbine blades, provided as an exemplary embodiment of this disclosure. Figure 2 As shown, the carbon footprint determination device 20 for the recycling and disposal of waste wind turbine blades includes: a data acquisition module 21, a determination module 22, and a generation module 23.

[0058] Among them, the data acquisition module 21 is used to collect carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades; Module 22 is used to determine the carbon emission data for each stage based on the carbon footprint data for each stage; Module 23 is used to generate a carbon footprint report based on the carbon emission data for each stage.

[0059] Optionally, the phases include: a transportation phase, and the carbon footprint data for the transportation phase includes: fuel consumption. When determining the carbon emission data for each phase based on the carbon footprint data for each phase, the determination module 22 is used for: Carbon emission data during the transportation phase are calculated based on fuel consumption and carbon emission factors; the carbon emission factors are related to fuel type.

[0060] Optionally, the stages include: a transportation stage, where the carbon footprint data includes transportation distance and energy consumption per unit distance. When determining the carbon emission data for each stage based on the carbon footprint data for each stage, the determination module 22 is used for: Carbon emission data for the transportation phase are calculated based on transportation distance, energy consumption per unit distance, and carbon emission factor; among which, the carbon emission factor is related to fuel type.

[0061] Optionally, the stages include: a dismantling stage, where the carbon footprint data includes: energy consumption of the dismantling equipment. When determining the carbon emission data for each stage based on the carbon footprint data, module 22 is used for: Carbon emission data during the dismantling phase are calculated based on the energy consumption and carbon emission factor of the dismantling equipment; the carbon emission factor is related to the fuel type.

[0062] Optionally, the phases include: a dismantling phase, where the carbon footprint data includes dismantling efficiency and theoretical energy consumption. When determining the carbon emission data for each phase based on the carbon footprint data for each phase, module 22 is used for: Carbon emission data during the dismantling phase are calculated based on dismantling efficiency, theoretical energy consumption, and carbon emission factor; the carbon emission factor is related to fuel type.

[0063] Optionally, the stages include: a material recycling stage, where the carbon footprint data includes: material recycling rate and energy consumption of the recycling process. When determining the carbon emission data for each stage based on the carbon footprint data for each stage, module 22 is used for: Carbon emission data for the material recycling stage are calculated based on material recovery rate, energy consumption of the recycling process, and carbon emission factor; among which, the carbon emission factor is related to fuel type.

[0064] Optionally, the stages include: a material recycling stage, which includes: a collection and transportation stage, a recycling treatment stage, and a reuse stage; the carbon footprint data for the collection and transportation stage includes: recycling transportation distance and recycling transportation volume; the carbon footprint data for the recycling treatment stage includes: recycling energy consumption and recycling rate; and the carbon footprint data for the reuse stage includes: reuse energy consumption. When determining the carbon emission data for each stage based on the carbon footprint data for each stage, the determining module 22 is used for: Carbon emission data for the collection and transportation phases are calculated based on the collection and transportation distance, the amount of waste collected, and the transportation energy consumption factor. Based on the energy consumption, recovery rate, and carbon emission factor, calculate the carbon emission data of the recycling process. The carbon emission factor is related to the fuel type. Calculate carbon emission data for the recycling stage based on renewable energy consumption and carbon emission factors; The carbon emission data for the material recycling stage is calculated based on the carbon emission data from the collection and transportation stage, the recycling and processing stage, and the reuse stage.

[0065] Optionally, the stages include: a waste treatment stage, where the carbon footprint data includes: treatment energy consumption and treatment volume. When determining the carbon emission data for each stage based on the carbon footprint data, the determination module 22 is used for: Calculate carbon emission data for the waste treatment stage based on energy consumption, treatment volume, and carbon emission factors.

[0066] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0067] Figure 3 This is a schematic diagram of the structure of an electronic device provided as an exemplary embodiment of this disclosure. For example... Figure 3 As shown, the electronic device includes a memory 31 and a processor 32. Additionally, the electronic device also includes a power supply component 33 and a communication component 34.

[0068] Memory 31 is used to store computer programs and can be configured to store various other data to support operation on the electronic device. Examples of this data include instructions for any application or method used to operate on the electronic device.

[0069] The memory 31 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0070] Communication component 34 is used for data transmission with other devices.

[0071] Processor 32 can execute computer instructions stored in memory 31 for: Collect carbon footprint data at each stage of the recycling and disposal of used wind turbine blades; Based on the carbon footprint data for each stage, determine the carbon emission data for each stage; A carbon footprint report is generated based on carbon emission data from each stage.

[0072] Accordingly, embodiments of this disclosure also provide a computer-readable storage medium storing a computer program. When the computer-readable storage medium stores a computer program, and the computer program is executed by one or more processors, it causes one or more processors to perform... Figure 1 Each step in the method embodiment.

[0073] Accordingly, this disclosure also provides a computer program product, which includes a computer program / instructions that are executed by a processor. Figure 1 Each step in the method embodiment.

[0074] The above Figure 3 The communication component is configured to facilitate wired or wireless communication between the device containing the communication component and other devices. The device containing the communication component can access wireless networks based on communication standards, such as WiFi, 2G, 3G, 4G / LTE, 5G, or combinations thereof. In one exemplary embodiment, the communication component receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component also includes a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID), Infrared Data Association (IrDA) technology, Ultra-Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0075] The above Figure 3 The power supply component provides power to the various components of the device in which it resides. The power supply component may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device in which it resides.

[0076] The aforementioned electronic devices also include a display screen and audio components.

[0077] The display includes a screen, which may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can sense not only the boundaries of touch or swipe actions, but also the duration and pressure associated with the touch or swipe operation.

[0078] An audio component may be configured to output and / or input audio signals. For example, the audio component includes a microphone (MIC) configured to receive external audio signals when the device containing the audio component is in an operating mode, such as call mode, recording mode, or voice recognition mode. The received audio signals may be further stored in memory or transmitted via a communication component. In some embodiments, the audio component also includes a speaker for outputting audio signals.

[0079] In the embodiments of the apparatus, equipment, storage medium, and computer program products disclosed herein, carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades are collected; carbon emission data for each stage is determined based on the carbon footprint data for each stage; and a carbon footprint report is generated based on the carbon emission data for each stage. This disclosure automatically collects carbon footprint data for each stage of the recycling and disposal of waste wind turbine blades, automatically calculates carbon emission data for each stage, and then generates the carbon footprint of the recycling and disposal of waste wind turbine blades, thereby improving the efficiency of carbon footprint determination in the recycling and disposal process of waste wind turbine blades.

[0080] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, systems, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0081] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0082] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.

[0083] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0084] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0085] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0086] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0087] 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 terms "comprising," "including," or any other variations thereof are 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. Unless otherwise specified, 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.

[0088] The above are merely specific embodiments of this disclosure, enabling those skilled in the art to understand or implement this disclosure. 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 disclosure. Therefore, this disclosure is not to be limited to these embodiments, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining the carbon footprint of waste wind turbine blade recycling and disposal, characterized in that, include: Collect carbon footprint data at each stage of the recycling and disposal of used wind turbine blades; Based on the carbon footprint data for each stage, determine the carbon emission data for each stage; A carbon footprint report is generated based on the carbon emission data for each of the stated stages.

2. The method according to claim 1, characterized in that, The phases include: a transportation phase, wherein the carbon footprint data for the transportation phase includes: fuel consumption; and determining the carbon emission data for each phase based on the carbon footprint data for each phase includes: The carbon emission data for the transportation phase are calculated based on the fuel consumption and carbon emission factor; wherein the carbon emission factor is related to the fuel type.

3. The method according to claim 1, characterized in that, The stages include: a transportation stage, wherein the carbon footprint data for the transportation stage includes: transportation distance and energy consumption per unit distance; and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data for the transportation phase are calculated based on the transportation distance, energy consumption per unit distance, and carbon emission factor; wherein the carbon emission factor is related to the fuel type.

4. The method according to claim 1, characterized in that, The stages include: a dismantling stage, wherein the carbon footprint data for the dismantling stage includes: energy consumption of the dismantling equipment; and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data of the dismantling stage are calculated based on the energy consumption and carbon emission factor of the dismantling equipment; wherein the carbon emission factor is related to the fuel type.

5. The method according to claim 1, characterized in that, The stages include: a dismantling stage, wherein the carbon footprint data for the dismantling stage includes: dismantling efficiency and theoretical energy consumption; and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data of the dismantling stage are calculated based on the dismantling efficiency, the theoretical energy consumption, and the carbon emission factor; wherein the carbon emission factor is related to the fuel type.

6. The method according to claim 1, characterized in that, The stages include: a material recycling stage, wherein the carbon footprint data for the material recycling stage includes: material recycling rate and energy consumption of the recycling process; and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data of the material recycling stage are calculated based on the material recovery rate, energy consumption of the recycling process, and carbon emission factor; wherein the carbon emission factor is related to the fuel type.

7. The method according to claim 1, characterized in that, The stages include: a material recycling stage, which includes: a collection and transportation stage, a recycling processing stage, and a reuse stage; the carbon footprint data for the collection and transportation stage includes: recycling transportation distance and recycling transportation volume; the carbon footprint data for the recycling processing stage includes: recycling energy consumption and recycling rate; the carbon footprint data for the reuse stage includes: reuse energy consumption; and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data for the collection and transportation phases are calculated based on the recycling and transportation distance, the recycling and transportation volume, and the transportation energy consumption factor. The carbon emission data of the recycling process are calculated based on the energy consumption, recovery rate, and carbon emission factor, wherein the carbon emission factor is related to the fuel type. Calculate the carbon emission data for the recycling stage based on the renewable energy consumption and the carbon emission factor. The carbon emission data for the material recycling stage is calculated based on the carbon emission data from the collection and transportation stage, the recycling and processing stage, and the reuse stage.

8. The method according to claim 1, characterized in that, The stages include: a waste treatment stage, wherein the carbon footprint data for the waste treatment stage includes: treatment energy consumption and treatment volume; and determining the carbon emission data for each stage based on the carbon footprint data for each stage includes: The carbon emission data for the waste treatment stage are calculated based on the energy consumption, processing volume, and carbon emission factor.

9. A device for determining the carbon footprint of waste wind turbine blade recycling and disposal, characterized in that, include: The data acquisition module is used to collect carbon footprint data at each stage of the recycling and disposal of waste wind turbine blades; A determination module is used to determine carbon emission data for each stage based on the carbon footprint data for each stage. A generation module is used to generate a carbon footprint report based on the carbon emission data for each of the said stages.

10. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the steps of the method as described in any one of claims 1-8.

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