Full-life-cycle carbon footprint dynamic accounting method and system and medium

Abstract

The invention discloses a full-life-cycle carbon footprint dynamic accounting method and system and a medium. The method comprises the steps of S1, system boundary definition and data preparation; s2, dynamic datum line calculation: constructing a carbon emission calculation model under a datum line scene based on the current situation of the land parcel, and generating a datum line carbon emission curve changing along with time based on the carbon emission calculation model; s3, dynamically checking the carbon footprint of the project; and S4, quantifying the carbon assets, and calculating the net carbon emission reduction created by the updated project. According to the invention, carbon footprint dynamic accounting, evaluation and decision support are carried out in the whole life cycle of a city update project.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of urban environment management, low-carbon planning and information technology, and particularly relates to a full life cycle carbon footprint dynamic accounting method, system and medium. BACKGROUND

[0002] Urban renewal action has become a key starting point for realizing low-carbon transformation of stock space. However, there are significant technical bottlenecks in the current carbon accounting practice in this field: 1. Fragmented accounting: Existing methods focus more on carbon emissions in the operation stage of buildings, lack of systematic coverage of the whole chain of "building material production, transportation, construction, operation, maintenance, demolition and waste treatment", and especially ignore the huge impact of "implicit carbon" and the carbon offset benefits brought by "recycling" in the demolition stage.

[0003] 2. Lack of baseline: unable to scientifically set the dynamic baseline under the "no project" scenario, resulting in the inability to accurately account for the "additional" carbon emission reduction brought by urban renewal measures, making carbon assets difficult to be recognized by the carbon market due to the lack of "additionalness", and restricting its value path.

[0004] 3. Lack of prediction and decision support: traditional accounting is mostly post-statistics, and lacks the ability to prospectively simulate and compare different renewal schemes in the planning stage, making it difficult for decision-makers to scientifically weigh the "economic cost", "carbon emission reduction benefit" and "social impact" and other multi-objectives.

[0005] Therefore, there is an urgent need in the art for an automated carbon accounting method and tool that can cover the whole life cycle, be based on dynamic baseline, and serve the early scientific decision-making. SUMMARY

[0006] The purpose of the present application is to overcome the problems of the prior art, and to disclose a full life cycle carbon footprint dynamic accounting method, system and medium, which realizes dynamic accounting, evaluation and decision support of carbon footprint in the whole life cycle of urban renewal projects.

[0007] The purpose of the present application is achieved by the following technical solutions: A full life cycle carbon footprint dynamic accounting method, the full life cycle carbon footprint dynamic accounting method comprising: S1: system boundary definition and data preparation, collecting and inputting land basic data, current energy consumption data, and updating scheme design data for four stages of building material production and transportation, construction, operation and maintenance, demolition and waste treatment, and calling built-in localized carbon emission factor database; S2: Dynamic baseline calculation, including: constructing a carbon emission calculation model under the baseline scenario based on the current status of the land parcel, and generating a baseline carbon emission curve that changes over time based on the carbon emission calculation model. The carbon emission calculation model uses the following formula: C_base = (E_elec_base × EF_elec + E_gas_base × EF_gas) × A_base ×T Wherein, C_base represents the baseline total carbon emissions, referring to the cumulative total carbon emissions within the analysis period T without urban renewal; E_elec_base represents the baseline electricity consumption intensity, referring to the annual electricity consumption per unit area of ​​the existing building; EF_elec represents the electricity emission factor, referring to the carbon emission coefficient corresponding to a unit of electricity consumption; E_gas_base represents the baseline gas consumption intensity, referring to the annual gas consumption per unit area of ​​the existing building; EF_gas represents the gas emission factor, referring to the carbon emission coefficient corresponding to a unit of gas consumption; A_base represents the baseline building area, referring to the total building area within the plot before renewal; T represents the analysis period, referring to the time range for carbon footprint accounting; S3: Dynamic carbon footprint accounting for projects; calculating the overall carbon footprint over its entire life cycle for the proposed urban renewal plan. C_proj = E_emb + C_oper - C_seq - C_rec Wherein, C_proj represents the total carbon footprint of the project, referring to the net carbon emissions of the renovation project throughout its entire life cycle; E_emb represents embodied carbon emissions, referring to the total carbon emissions generated during the production, transportation, and construction of building materials; C_oper represents operational carbon emissions, referring to the carbon emissions generated by energy consumption during the building's operation and use phase; C_seq represents carbon sink absorption, referring to the total amount of carbon dioxide absorbed by green vegetation and other organisms through photosynthesis; and C_rec represents carbon offsetting through recycling, referring to the carbon emissions from the production of new materials avoided by the recycling of waste building materials. S4: Carbon asset quantification, calculating the net carbon emission reductions created by the updated project, i.e., the physical quantity of carbon assets: ΔC = C_base - C_proj When ΔC > 0, it means that the project has created a positive carbon asset.

[0008] According to a preferred embodiment, the implicit carbon emission calculation process in step S3 is as follows: E_emb = Σ (Q_i × EF_i) + Σ (Q_i × D_i × EF_trans) Where Q_i represents the consumption quantity of the i-th building material; EF_i represents the emission factor of the i-th building material, which refers to the carbon emission coefficient per unit consumption of the material; D_i represents the average transportation distance of the i-th building material; and EF_trans represents the transportation emission factor, which refers to the carbon emission coefficient per unit transportation distance.

[0009] According to a preferred embodiment, the carbon emission calculation in step S3 includes: C_oper = (E_elec_proj × EF_elec + E_gas_proj × EF_gas) × A_proj ×T Wherein, E_elec_proj represents the project's electricity energy intensity, which refers to the annual electricity consumption per unit area of ​​the renovated building; EF_elec represents the emission factor of electricity consumption; E_gas_proj represents the project's gas energy intensity, which refers to the annual gas consumption per unit area of ​​the renovated building; EF_gas represents the emission factor of annual gas consumption; and A_proj represents the project's building area, which refers to the total building area within the renovated plot.

[0010] According to a preferred embodiment, the carbon sink absorption calculation process in step S3 includes: C_seq = Σ (A_green_j × CSR_j) × T Where A_green_j represents the green area covered by the j-th type of vegetation; CSR_j represents the carbon sequestration rate of the j-th type of vegetation, which refers to the annual carbon dioxide absorption per unit area of ​​the vegetation.

[0011] According to a preferred embodiment, the carbon offset calculation process in step S3 includes: C_rec = Σ (Q_rec_k ​​× EF_avoid_k) Where Q_rec_k ​​represents the weight of the k-th recyclable building material; EF_avoid_k represents the emission avoidance factor of the k-th material, which refers to the carbon emission coefficient of the original production process avoided by recycling the material.

[0012] According to a preferred embodiment, the dynamic accounting method for the entire life cycle carbon footprint further includes: S5: Uncertainty Analysis and Decision Support. It uses Monte Carlo simulation to conduct uncertainty analysis and visualizes the output baseline, carbon footprint curves of each project, net carbon emission reduction and economic indicators to assist in the selection of projects.

[0013] On the other hand, this application also discloses: A dynamic accounting system for carbon footprint across the entire life cycle, employing the aforementioned method, includes: Data acquisition and preprocessing module: Equipped with a data interface for accessing GIS, BIM data and manually input data; built-in data cleaning and verification unit; connects to project database, building material carbon footprint factor library, and energy emission factor library; The baseline dynamic calculation module is configured to execute step S2 of the full life cycle carbon footprint dynamic accounting method. It has a built-in baseline scenario configuration unit and dynamic simulation engine to generate the baseline carbon emission curve. Project carbon footprint accounting module: As the core calculation engine, it is configured to execute the full life cycle carbon footprint dynamic accounting method step S3. It includes a scheme definition unit and an automated accounting engine, which can automatically parse design data, call factor library, execute formula calculation, and complete the full life cycle carbon footprint accounting of the scheme. Carbon asset quantification and comparative analysis module: It is configured to execute step S4 of the full life cycle carbon footprint dynamic accounting method, calculate net carbon emission reduction ΔC, and complete the horizontal comparison of each scheme on each indicator. Decision Support and Visualization Module: Configured to execute step S5 of the dynamic accounting method for the entire life cycle carbon footprint, including dynamic dashboards, uncertainty analysis units, and automatic report generation units, for result visualization, risk quantification, and report output.

[0014] According to a preferred embodiment, the project carbon footprint accounting module further includes a building energy consumption simulation unit for predicting the operating energy consumption of the updated building.

[0015] According to a preferred embodiment, the decision support and visualization module includes a multi-scheme comparison and analysis unit for performing a horizontal comparison of the carbon footprint of different update schemes.

[0016] On the other hand, this application also discloses: A computer-readable storage medium for storing instructions that, when executed, cause the aforementioned method to be implemented.

[0017] The aforementioned main solution and its various further alternative solutions can be freely combined to form multiple solutions, all of which are solutions that can be adopted and are claimed in this application. Those skilled in the art, after understanding the solution of this application, will realize that there are many combinations based on the prior art and common general knowledge, all of which are technical solutions to be protected in this application, and will not be exhaustively listed here.

[0018] The beneficial effects of this application are: Systematic innovation: For the first time, a closed-loop and automated accounting of carbon flow throughout the entire life cycle has been achieved at the urban renewal site level, and the quantitative standards for implicit carbon, operational carbon, carbon sinks and recycling offsets have been innovatively unified.

[0019] Highly scientific: By introducing a "dynamic baseline" model, the "additionality" of carbon asset accounting is ensured, laying a scientific foundation for carbon asset trading.

[0020] It has outstanding decision support capabilities: it transforms accounting from "post-event statistics" to "pre-event forecasting", and provides powerful tools for achieving coordinated optimization of multiple objectives of "carbon-economy-society" in the planning stage through functions such as multi-scheme comparison and uncertainty analysis.

[0021] High efficiency and accuracy: Through automated system processing and data integration, the tediousness and errors of manual calculation are avoided, greatly improving the efficiency and reliability of the calculation work. Attached Figure Description

[0022] Figure 1 This is the overall flowchart of the dynamic accounting method for the entire life cycle carbon footprint of this application; Figure 2 This is a schematic diagram of the system architecture of this application. Detailed Implementation

[0023] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0024] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0025] In the description of this application, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of this application is in use. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this application. In addition, the terms "first," "second," and "third," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0026] Furthermore, terms such as "horizontal," "vertical," and "sag" do not imply that components must be absolutely horizontal or suspended, but rather that they can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal relative to "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0027] In the description of this application, it should also be noted that, unless otherwise expressly specified and limited, the terms "set up," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0028] Furthermore, it should be noted that unless otherwise specified in this application, the specific structures, connections, positions, power sources, etc. involved are all things that a person skilled in the art can know without creative effort based on the prior art.

[0029] Example 1 refer to Figure 1 As shown, taking the "low-carbon renovation project of old residential areas in a certain city" as an example, the specific implementation process of the present invention is explained in detail.

[0030] Step 1: Case Background and Data Preparation Project Overview: This is an old residential community built in 1995, with a total building area of ​​50,000 square meters. Currently, the buildings have low energy efficiency standards, an aging building envelope, high energy consumption, and a green space ratio of only 12%.

[0031] Comparison of options: Two alternative options with different technical paths are planned: Option A (comprehensive renovation) and Option B (demolition and reconstruction).

[0032] Data collection: The system's data acquisition module imports land parcel GIS data and building surveying data.

[0033] Access to electricity and gas consumption bills from the past three years was used to establish a baseline model.

[0034] Import the BIM models of the two alternative options, which include detailed building components, material usage, and energy-saving technologies.

[0035] System Implementation and Accounting Process Step 2: Establishing a dynamic baseline After creating a project and entering basic data in the system, the baseline dynamic calculation module will run automatically. The key parameter settings are as follows: E_elec_base (baseline energy intensity) = 65 kWh / m²·a EF_elec (Electricity Emission Factor) = 0.581 kg CO2e / kWh (using the Southwest Regional Grid Factor) E_gas_base (baseline gas energy intensity) = 8.5 m³ / m²·a EF_gas (Gas Emission Factor) = 2.09 kg CO2e / m³ A_base (base building area) = 50000 m² T (analysis period) = 30 years The system automatically generates a dynamic baseline and calculates the total carbon emissions C_base at the baseline to be 38,650 tons of CO2e.

[0036] Step 3: Project Carbon Footprint Calculation The system automatically calculates the full life-cycle carbon footprint of the two alternatives: Option A (Comprehensive Renovation): Implicit carbon (E_emb): The system automatically analyzes its BIM model, extracts the usage of major building materials such as thermal insulation rock wool, energy-saving windows, and photovoltaic brackets, and calculates E_emb = 12,850 tons of CO2e by combining the material carbon emission factor library.

[0037] Operating carbon (C_oper): Based on the performance parameters of the modified building, and predicted by the built-in energy consumption simulation algorithm, C_oper = 18420 tons of CO2e.

[0038] Carbon sequestration (C_seq): According to the landscape design plan, approximately 2,000 square meters of new rooftop greening will be added, and C_seq = 72 tons of CO2e will be calculated.

[0039] Total carbon footprint of the project: C_proj = 12,850 + 18,420 - 72 = 31,198 tons of CO2e.

[0040] Option B (Demolition and Reconstruction): Implicit carbon (E_emb): Due to the extensive use of new building materials, the system calculates that E_emb = 28,500 tons of CO2e.

[0041] Operating carbon (C_oper): Due to the adoption of higher energy efficiency standards, the predicted C_oper = 12,560 tons of CO2e.

[0042] Carbon sink (C_seq): With the planned green space ratio increased to 30%, C_seq = 285 tons of CO2e.

[0043] Carbon offsetting (C_rec): Recycling old building steel and other materials, C_rec = 875 tons of CO2e.

[0044] Total carbon footprint of the project: C_proj = 28,500 + 12,560 - 285 - 875 = 39,900 tons of CO2e.

[0045] Step 4: Carbon Asset Quantification and Scheme Comparison The carbon asset quantification module automatically calculates the net carbon emission reduction (ΔC) for each scenario: Option A: ΔC = C_base - C_proj = 38650 - 31198 = 7452 tons of CO2e Option B: ΔC = 38650 - 39900 = -1250 tons of CO2e Step 5: Decision Support and Implementation Results The decision support module generates visual dashboards that clearly display the following: Only Option A creates positive carbon assets (ΔC>0), while Option B, due to its excessively high initial carbon content, cannot achieve carbon reduction benefits throughout its entire life cycle.

[0046] Uncertainty analysis shows that under different carbon price scenarios, the carbon asset value of Option A can effectively improve project returns.

[0047] The system automatically generates a comprehensive evaluation report and recommends adopting Option A (comprehensive renovation).

[0048] Example 2 refer to Figure 2 As shown in Example 1, this example discloses a dynamic accounting system for carbon footprint throughout the entire life cycle. The dynamic accounting system for carbon footprint throughout the entire life cycle includes...

[0049] Data acquisition and preprocessing module: Equipped with a data interface for accessing GIS, BIM data and manually input data; built-in data cleaning and verification unit; connected to project database, building material carbon footprint factor library, and energy emission factor library.

[0050] The baseline dynamic calculation module is configured to execute step S2 of the full life cycle carbon footprint dynamic accounting method. It has a built-in baseline scenario configuration unit and dynamic simulation engine to generate the baseline carbon emission curve.

[0051] Project carbon footprint accounting module: As the core computing engine, it is configured to execute the full life cycle carbon footprint dynamic accounting method step S3. It includes a scheme definition unit and an automated accounting engine, which can automatically parse design data, call factor library, execute formula calculation, and complete the full life cycle carbon footprint accounting of the scheme.

[0052] Preferably, the project carbon footprint accounting module further includes a building energy consumption simulation unit for predicting the operating energy consumption of the updated building.

[0053] The carbon asset quantification and comparative analysis module is configured to execute step S4 of the full life cycle carbon footprint dynamic accounting method, calculate the net carbon emission reduction ΔC, and complete the horizontal comparison of each scheme on each indicator.

[0054] Decision Support and Visualization Module: Configured to execute step S5 of the dynamic accounting method for the entire life cycle carbon footprint, including dynamic dashboards, uncertainty analysis units, and automatic report generation units, for result visualization, risk quantification, and report output.

[0055] Preferably, the decision support and visualization module includes a multi-scheme comparison and analysis unit, used to perform a horizontal comparison of the carbon footprint of different update schemes.

[0056] Example 3 Based on Embodiment 1, this embodiment also discloses: a computer-readable storage medium for storing instructions that, when executed, cause the method described in Embodiment 1 to be implemented.

[0057] In some alternative embodiments, the present invention also provides that various aspects of the adaptive recommendation method for instrument parameters of digital debugging process of electronic products can also be implemented in the form of a program product, which includes program code. When the program product is run on a device, the program code is used to cause the control device to perform the steps in the knowledge-based digital debugging process design method for electronic products according to various exemplary embodiments of the present invention as described above.

[0058] It should be noted that although several units or sub-units of the apparatus have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the invention, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided and embodied by multiple units. Furthermore, although the operation of the method of the invention is described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0059] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can be implemented in one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs) containing computer-usable program code. The form of a computer program product implemented on ROM, optical memory, etc.

[0060] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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 server, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0061] Program code for performing the operations of this invention can be written using any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0062] In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0063] 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 1 The function specified in one or more boxes.

[0064] 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 functions specified in one or more boxes. The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for dynamic accounting of carbon footprint throughout the entire life cycle, characterized in that, The dynamic accounting method for the entire life cycle carbon footprint includes: S1: System boundary definition and data preparation. For the four stages of building material production and transportation, construction, operation and maintenance, demolition and waste disposal, collect and input basic site data, current energy consumption data, and updated scheme design data, and call the built-in localized carbon emission factor database. S2: Dynamic baseline calculation, including: constructing a carbon emission calculation model under the baseline scenario based on the current status of the land parcel, and generating a baseline carbon emission curve that changes over time based on the carbon emission calculation model. The carbon emission calculation model uses the following formula: C_base = (E_elec_base × EF_elec + E_gas_base × EF_gas) × A_base × T Wherein, C_base represents the baseline total carbon emissions, referring to the cumulative total carbon emissions within the analysis period T without urban renewal; E_elec_base represents the baseline electricity consumption intensity, referring to the annual electricity consumption per unit area of ​​the existing building; EF_elec represents the electricity emission factor, referring to the carbon emission coefficient corresponding to a unit of electricity consumption; E_gas_base represents the baseline gas consumption intensity, referring to the annual gas consumption per unit area of ​​the existing building; EF_gas represents the gas emission factor, referring to the carbon emission coefficient corresponding to a unit of gas consumption; A_base represents the baseline building area, referring to the total building area within the plot before renewal; T represents the analysis period, referring to the time range for carbon footprint accounting; S3: Dynamic carbon footprint accounting for projects; calculating the overall carbon footprint over its entire life cycle for the proposed urban renewal plan. C_proj = E_emb + C_oper - C_seq - C_rec Wherein, C_proj represents the total carbon footprint of the project, referring to the net carbon emissions of the renovation project throughout its entire life cycle; E_emb represents the implicit carbon emissions, referring to the total carbon emissions generated during the production, transportation, and construction of building materials; C_oper represents the operational carbon emissions, referring to the carbon emissions generated by energy consumption during the building's operation and use phase; C_seq represents the carbon sink absorption, referring to the total amount of carbon dioxide absorbed by green vegetation and other organisms through photosynthesis; and C_rec represents the carbon offset from recycling, referring to the carbon emissions from the production of new materials avoided by the recycling of waste building materials. S4: Carbon asset quantification, calculating the net carbon emission reductions created by the updated project, i.e., the physical quantity of carbon assets: ΔC = C_base - C_proj When ΔC > 0, it means that the project has created a positive carbon asset.

2. The method for dynamic accounting of carbon footprint throughout the entire life cycle as described in claim 1, characterized in that, The implicit carbon emission calculation process in step S3 is as follows: E_emb = Σ (Q_i × EF_i) + Σ (Q_i × D_i × EF_trans) Where Q_i represents the consumption quantity of the i-th building material; EF_i represents the emission factor of the i-th building material, which refers to the carbon emission coefficient per unit consumption of the material; D_i represents the average transportation distance of the i-th building material; and EF_trans represents the transportation emission factor, which refers to the carbon emission coefficient per unit transportation distance.

3. The method for dynamic accounting of carbon footprint throughout the entire life cycle as described in claim 1, characterized in that, Step S3, which involves performing carbon emission calculations, includes: C_oper = (E_elec_proj × EF_elec + E_gas_proj × EF_gas) × A_proj × T Wherein, E_elec_proj represents the project's electricity energy intensity, which refers to the annual electricity consumption per unit area of ​​the renovated building; EF_elec represents the emission factor of electricity consumption; E_gas_proj represents the project's gas energy intensity, which refers to the annual gas consumption per unit area of ​​the renovated building; EF_gas represents the emission factor of annual gas consumption; and A_proj represents the project's building area, which refers to the total building area within the renovated plot.

4. The method for dynamic accounting of carbon footprint throughout the entire life cycle as described in claim 1, characterized in that, The calculation process for carbon sink absorption in step S3 includes: C_seq = Σ (A_green_j × CSR_j) × T Where A_green_j represents the green area covered by the j-th type of vegetation; CSR_j represents the carbon sequestration rate of the j-th type of vegetation, which refers to the annual carbon dioxide absorption per unit area of ​​the vegetation.

5. The method for dynamic accounting of carbon footprint throughout the entire life cycle as described in claim 1, characterized in that, The carbon offset calculation process in step S3 includes: C_rec = Σ (Q_rec_k ​​× EF_avoid_k) Where Q_rec_k ​​represents the weight of the k-th recyclable building material; EF_avoid_k represents the emission avoidance factor of the k-th material, which refers to the carbon emission coefficient of the original production process avoided by recycling the material.

6. The method for dynamic accounting of carbon footprint throughout the entire life cycle as described in claim 1, characterized in that, The dynamic accounting method for carbon footprint throughout the entire life cycle also includes: S5: Uncertainty Analysis and Decision Support. It uses Monte Carlo simulation to conduct uncertainty analysis and visualizes the output baseline, carbon footprint curves of each project, net carbon emission reduction and economic indicators to assist in the selection of projects.

7. A dynamic accounting system for carbon footprint throughout the entire life cycle, characterized in that, The life-cycle carbon footprint dynamic accounting system, using the method described in any one of claims 1 to 6, comprises: Data acquisition and preprocessing module: Equipped with a data interface for accessing GIS, BIM data and manually input data; built-in data cleaning and verification unit; connects to project database, building material carbon footprint factor library, and energy emission factor library; The baseline dynamic calculation module is configured to execute step S2 of the full life cycle carbon footprint dynamic accounting method. It has a built-in baseline scenario configuration unit and dynamic simulation engine to generate the baseline carbon emission curve. Project carbon footprint accounting module: As the core calculation engine, it is configured to execute the full life cycle carbon footprint dynamic accounting method step S3. It includes a scheme definition unit and an automated accounting engine, which can automatically parse design data, call factor library, execute formula calculation, and complete the full life cycle carbon footprint accounting of the scheme. Carbon asset quantification and comparative analysis module: It is configured to execute step S4 of the full life cycle carbon footprint dynamic accounting method, calculate net carbon emission reduction ΔC, and complete the horizontal comparison of each scheme on each indicator. Decision Support and Visualization Module: Configured to execute step S5 of the dynamic accounting method for the entire life cycle carbon footprint, including dynamic dashboards, uncertainty analysis units, and automatic report generation units, for result visualization, risk quantification, and report output.

8. The dynamic accounting system for the entire life cycle carbon footprint as described in claim 7, characterized in that, The project's carbon footprint accounting module also includes a building energy consumption simulation unit, used to predict the operating energy consumption of the updated building.

9. The full life-cycle carbon footprint dynamic accounting system as described in claim 7, characterized in that, The decision support and visualization module includes a multi-scheme comparison and analysis unit, which is used to compare the carbon footprint of different update schemes horizontally.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store instructions that, when executed, cause the method as described in any one of claims 1 to 6 to be implemented.

Images