Existing building low-carbon transformation performance evaluation system and method

Abstract

The invention provides an existing building low-carbon transformation performance evaluation system and method, and the system comprises a data collection module which is used for collecting building low-carbon transformation basic data; the evaluation index library is used for storing standards and indexes required by low-carbon transformation evaluation; the performance evaluation model module is used for evaluating the building low-carbon transformation basic data acquired in the data acquisition module by using the standards and indexes in the evaluation index library and outputting an evaluation result; the optimization decision support module is used for providing an optimization suggestion of the optimal low-carbon transformation scheme according to the evaluation result; and the report generation module is used for automatically generating a low-carbon transformation performance evaluation report according to the evaluation result and the optimization suggestion. According to the method, multiple dimensions such as building energy efficiency, carbon emission, economy, environmental influence, comfort and the like can be comprehensively considered, so that comprehensive and scientific reconstruction effect evaluation is provided, and an optimized low-carbon reconstruction scheme is provided for decision makers.

Description

Technical Field

[0001] The present invention belongs to the technical field of building evaluation, and in particular relates to a system and method for evaluating the low-carbon transformation performance of existing buildings. Background Art

[0002] As the global climate change problem becomes increasingly serious, the construction industry, as an important source of energy consumption and greenhouse gas emissions, has become one of the key areas for mitigating climate change. According to the International Energy Agency (IEA) report, the construction industry (including residential, commercial buildings and industrial facilities) accounts for more than 40% of global energy consumption, and carbon emissions in the construction sector also account for nearly 40% of global carbon emissions. Therefore, promoting low-carbon transformation in the construction sector has become one of the important measures for countries around the world to cope with climate change and achieve carbon neutrality goals.

[0003] Low-carbon transformation of existing buildings is one of the important ways to improve building energy efficiency and reduce carbon emissions. Compared with new buildings, existing buildings often have higher energy consumption due to the limitations of their original structure, design and equipment. Therefore, low-carbon transformation has become an important means of energy conservation and emission reduction for existing buildings. Low-carbon transformation can not only greatly improve the energy efficiency of buildings, but also improve the quality of indoor environment, increase the comfort of buildings, and bring long-term economic benefits. Common low-carbon transformation measures include:

[0004] 1) Renovation of building envelope: such as thermal insulation treatment of walls, roofs, and exterior windows;

[0005] 2) Replacement of high-efficiency energy equipment: such as upgrading of air conditioning, lighting, and heating equipment;

[0006] 3) Application of renewable energy technologies: such as solar photovoltaic, solar water heating systems, etc.;

[0007] 4) Intelligent building technology: such as intelligent control systems, energy efficiency monitoring, etc.

[0008] However, low-carbon transformation is not an easy task. Since the transformation process involves the interests of multiple parties, including design, construction, operation and other links, the effect and economic benefits of the transformation are also affected by many factors. Existing low-carbon transformation plans often lack a scientific and systematic evaluation system, which makes it difficult to quantify the transformation effect, lacks precise basis for the decision-making process, easily leads to waste of resources, and even fails to achieve the expected low-carbon effect. At present, there are some evaluation methods and tools in the field of low-carbon transformation, but most of these tools have the following shortcomings:

[0009] 1) Single evaluation dimension: Existing evaluation methods usually only focus on single-dimensional indicators (such as energy conservation and carbon emissions), and lack an evaluation system that comprehensively considers multiple dimensions (such as economic benefits, environmental impact, comfort, etc.). This makes the evaluation results incomplete and cannot fully reflect the comprehensive benefits of low-carbon transformation;

[0010] 2) Imperfect evaluation models: Most existing evaluation models rely on empirical formulas or simplified calculation models, which cannot accurately simulate the actual effects of building renovations. Especially when considering complex factors such as building materials, equipment replacement, and renewable energy utilization, the evaluation results may have large deviations;

[0011] 3) Lack of dynamism and adaptability: The existing evaluation system often statically evaluates the effect of low-carbon transformation at a certain point in time, and fails to fully consider the dynamic changes in the building operation process. For example, changes in building energy efficiency, fluctuations in energy prices, updates to policies and regulations, etc. may affect the effect of low-carbon transformation, and the existing evaluation system fails to effectively respond to these changes;

[0012] 4) Insufficient decision support: Most existing systems focus on evaluating the effects of transformation, but lack optimization and decision support functions for transformation plans. When faced with multiple transformation plans, decision makers often lack scientific decision-making tools and find it difficult to comprehensively evaluate the pros and cons of different plans from multiple perspectives, making it difficult to accurately optimize the decision on low-carbon transformation;

[0013] 5) Data integration and standardization issues: Architectural data from different sources (such as building design drawings, operational data, renovation history, etc.) often have problems such as inconsistent formats and standards, which makes the data integration and analysis process cumbersome and reduces evaluation efficiency.

[0014] Therefore, it is necessary to design a low-carbon transformation performance evaluation system and method for existing buildings that can comprehensively consider multiple dimensions such as building energy efficiency, carbon emissions, economy, environmental impact, and comfort, so as to provide a comprehensive and scientific evaluation of the transformation effect and provide decision makers with optimized low-carbon transformation plans to solve the current technical problems. Summary of the invention

[0015] In view of the shortcomings of the prior art, the present invention provides a system and method for evaluating the low-carbon transformation performance of existing buildings, which can comprehensively consider multiple dimensions such as building energy efficiency, carbon emissions, economy, environmental impact, comfort, etc., thereby providing a comprehensive and scientific evaluation of the transformation effect and providing decision makers with optimized low-carbon transformation plans.

[0016] The technical solution of the present invention is: a low-carbon transformation performance evaluation system for existing buildings, comprising:

[0017] A data acquisition module, which is used to collect basic data on low-carbon transformation of buildings;

[0018] An evaluation index library, which is used to store standards and indicators required for low-carbon transformation evaluation;

[0019] A performance evaluation model module, wherein the performance evaluation model module evaluates the basic data of low-carbon transformation of buildings collected in the data collection module using the standards and indicators in the evaluation indicator library, and outputs an evaluation result;

[0020] An optimization decision support module, which is used to provide optimization suggestions for the best low-carbon transformation plan based on the evaluation results; and

[0021] A report generation module is used to automatically generate a low-carbon transformation performance evaluation report based on the evaluation results and optimization suggestions.

[0022] Furthermore, the basic data for low-carbon transformation of buildings includes building energy efficiency data, building materials, building structure, and usage.

[0023] Furthermore, the basic data for low-carbon transformation of buildings is obtained by one or more methods including on-site investigation, building information model, sensor monitoring, and existing building database.

[0024] Furthermore, the data acquisition module performs data preprocessing on the collected basic data of low-carbon transformation of buildings; the data preprocessing includes data cleaning, data standardization and data calibration.

[0025] Furthermore, the performance evaluation model module uses energy efficiency simulation tools, carbon emission calculation models, life cycle assessment models and life cycle cost analysis methods to evaluate the effect of low-carbon transformation of buildings.

[0026] Furthermore, the optimization decision support module adopts intelligent algorithms to optimize the transformation plan through machine learning and genetic algorithms, and provides optimization suggestions for the best low-carbon transformation plan.

[0027] Furthermore, the report generation module includes comparative data on energy efficiency, carbon emissions, environmental impact, economic benefits, comprehensive evaluation conclusions, improvement suggestions and risk analysis.

[0028] The performance evaluation method for low-carbon transformation of existing buildings includes the following steps:

[0029] S1, data collection, obtaining basic data on low-carbon transformation of buildings through the data collection module;

[0030] S2, data preprocessing, preprocessing the acquired basic data of low-carbon transformation of buildings;

[0031] S3, performance evaluation, uses the standards and requirements stored in the evaluation index library to evaluate the building's energy efficiency, carbon emissions, environmental impact, economic benefits and comfort in multiple dimensions, and provides optimization suggestions for the best low-carbon transformation plan based on the evaluation results;

[0032] S4, optimization decision support, using the optimization decision support module, provides decision makers with suggestions for optimizing transformation plans based on the evaluation results, compares the plans, and outputs optimization suggestions for the best low-carbon transformation plan;

[0033] S5, report generation, based on the evaluation results and optimization suggestions, the report generation module automatically generates a low-carbon transformation performance evaluation report;

[0034] S6, program implementation and monitoring, is used to provide real-time monitoring tools to track the implementation progress of the low-carbon transformation program, ensure that the project proceeds on schedule, and provide real-time feedback on problems and deviations in the transformation process.

[0035] Furthermore, in the step S4, suggestions for optimizing the transformation plan are provided to the decision makers based on the evaluation results, and the plans are compared to provide optimization suggestions for the best low-carbon transformation plan.

[0036] Furthermore, in the step S5, the content of the low-carbon transformation performance evaluation report includes comparative data on energy efficiency, carbon emissions, environmental impact, and economic benefits, comprehensive evaluation conclusions, improvement suggestions, and risk analysis.

[0037] Beneficial effects of the present invention:

[0038] (1) In the present invention, the data collection module collects basic data on building low-carbon transformation, such as building energy efficiency, material type, building structure, usage, indoor environmental parameters, etc. The performance evaluation model module uses the standards and indicators in the evaluation index library to evaluate the basic data on building low-carbon transformation collected in the data collection module. Through multi-dimensional comprehensive evaluation, a comprehensive and scientific evaluation of the transformation effect is provided, which makes up for the limitations of the traditional single evaluation method.

[0039] (2) The optimization decision support module is used to combine machine learning and optimization algorithms to provide optimization suggestions for the best low-carbon transformation plan based on the evaluation results to ensure the best choice of the transformation plan;

[0040] (3) The report generation module uses automated tools to quickly generate assessment reports, reducing manual analysis errors and workload and improving assessment efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a principle block diagram of the low-carbon transformation performance evaluation system of existing buildings in the present invention.

[0042] Figure 2 The present invention is a flowchart of the method for evaluating the performance of low-carbon transformation of existing buildings. DETAILED DESCRIPTION

[0043] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the present invention and its application or use. The present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to make the present invention thorough and complete and to fully express the scope of the present invention to those skilled in the art. It should be noted that unless otherwise specifically stated, the relative arrangement of the parts and steps, the composition of the materials, the numerical expressions and the numerical values ​​set forth in these embodiments should be interpreted as being merely exemplary, rather than as limitations.

[0044] The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different parts. The words "include" or "comprise" and similar words mean that the elements before the word include the elements listed after the word, and do not exclude the possibility of including other elements. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0045] like Figure 1As shown, the existing building low-carbon transformation performance evaluation system includes: a data acquisition module, the data acquisition module is used to collect basic data of building low-carbon transformation; an evaluation index library, the evaluation index library is used to store the standards and indicators required for low-carbon transformation evaluation; a performance evaluation model module, the performance evaluation model module uses the standards and indicators in the evaluation index library to evaluate the basic data of building low-carbon transformation collected in the data acquisition module, and outputs the evaluation results; an optimization decision support module, the optimization decision support module is used to provide optimization suggestions for the optimal low-carbon transformation plan according to the evaluation results; and a report generation module, the report generation module is used to automatically generate a low-carbon transformation performance evaluation report according to the evaluation results and the optimization suggestions; this embodiment In the system, the data acquisition module collects basic data on low-carbon transformation of buildings, such as building energy efficiency, material type, building structure, usage, indoor environmental parameters, etc. The performance evaluation model module uses the standards and indicators in the evaluation index library to evaluate the basic data on low-carbon transformation of buildings collected in the data acquisition module. Through multi-dimensional comprehensive evaluation, it provides a comprehensive and scientific evaluation of the transformation effect, which makes up for the limitations of the traditional single evaluation method; the optimization decision support module is used to combine machine learning and optimization algorithms to provide optimization suggestions for the optimal low-carbon transformation plan based on the evaluation results, ensuring the best choice of the transformation plan; the report generation module uses automated tools to quickly generate evaluation reports, reduce manual analysis errors and workload, and improve evaluation efficiency.

[0046] In the above embodiment, the evaluation index library is the core component of the low-carbon transformation performance evaluation system of existing buildings, which aims to provide a standardized evaluation framework to ensure the objectivity and accuracy of the evaluation results; the evaluation index library includes technical standards, policy requirements, energy consumption, carbon emissions, environmental impact, economic benefits, comfort and other multi-dimensional indicators, providing a comprehensive evaluation basis for the system; by storing building design, energy-saving standards, green building certification, policies and regulations, etc., the evaluation index library supports multi-faceted low-carbon transformation evaluation, and can be dynamically updated to adapt to technological progress and policy changes, ensuring that the evaluation process always meets the latest industry requirements; specifically, the energy efficiency index is based on my country's building energy efficiency standards or related International standards evaluate the energy-saving performance of buildings, including the building's thermal conductivity, window transmittance, thermal performance of the building envelope, etc.; carbon emission indicators evaluate the carbon emissions caused by the building's energy consumption based on a carbon emission calculation model. The model takes into account the building's energy needs such as heating, cooling, and lighting, and calculates carbon emissions based on the local energy structure; environmental impact standards include the life cycle assessment (LCA) of building materials, that is, the environmental impact of the entire process of material production, transportation, construction, use, and disposal; policy and regulatory requirements include national and local government policies, laws and regulations on building energy conservation and low-carbon emissions, such as the "Green Building Evaluation Standards" and "Building Energy Saving Design Standards".

[0047] In some embodiments, the basic data for low-carbon transformation of buildings in the data collection module includes building energy efficiency data, building materials, building structure, and usage.

[0048] In some embodiments, as a specific method of obtaining basic data for low-carbon transformation of buildings, the basic data for low-carbon transformation of buildings are obtained by one or more methods including on-site investigation, building information modeling, sensor monitoring, and existing building databases; among them, on-site investigation is to conduct on-site investigation manually or using drones and sensors to collect basic information such as the building's appearance, structure, and equipment usage; Building Information Modeling (BIM) technology is to collect detailed three-dimensional data of the building through the BIM model, including building structure, envelope structure, functional layout, energy efficiency, etc.; sensor installation and monitoring is to install temperature and humidity sensors, air quality monitors, energy consumption monitoring equipment, etc., to collect real-time data on the building during daily operations, especially energy efficiency and indoor environmental parameters; historical building data import is if the building has historical data (such as design drawings, original energy efficiency data, etc.), the system can automatically import and process it.

[0049] In some embodiments, the collected original basic data on low-carbon transformation of buildings usually include information in various formats. Therefore, before evaluation, the system needs to clean and standardize these data; the data acquisition module performs data preprocessing on the collected basic data on low-carbon transformation of buildings; data preprocessing includes data cleaning, data standardization and data calibration; data cleaning is to remove invalid, erroneous or missing data; data standardization is to uniformly format data from different sources to meet the requirements of the evaluation index library, for example, unifying energy efficiency, carbon emissions and other data into specific units (such as kWh, tons of CO2); data calibration is to calibrate and verify the collected data by comparing with known building standards or real scenarios.

[0050] In some embodiments, after the data acquisition module completes data preprocessing, the performance evaluation model module evaluates the low-carbon transformation of the building according to the multi-dimensional evaluation model; the performance evaluation model module uses energy efficiency simulation tools, carbon emission calculation models, life cycle assessment models and life cycle cost analysis methods to evaluate the effect of low-carbon transformation of the building; wherein the energy efficiency evaluation simulates the energy consumption of the building under different transformation schemes through energy efficiency simulation tools (such as EnergyPlus, TRNSYS, etc.), and compares it with the original energy efficiency. The evaluation content includes: changes in energy consumption such as heating, cooling, lighting, and hot water, thermal insulation effects of external structures (such as walls, windows, roofs, etc.), and application effects of new or alternative technologies (such as high-efficiency air conditioners, solar energy systems, etc.); the carbon emission calculation model calculates the carbon emissions of the building after transformation based on energy consumption and energy structure. The system will calculate the carbon emissions after the transformation based on the energy consumption structure of the area where the building is located (such as the proportion of electricity, natural gas, renewable energy, etc.), and compare it with the original state; the environmental impact assessment evaluates the environmental impact of the transformed building through the life cycle assessment (LCA) model. This model takes into account the environmental load during the production, transportation, use and disposal of building materials, the emission of construction waste during the renovation process and its treatment methods, and the resource consumption during construction and operation (such as water, electricity, gas, etc.); the economic benefit assessment uses life cycle cost analysis (LCCA) to evaluate the economic benefits of the renovation plan, including the initial investment cost (building materials, equipment, replacement construction, etc.), the long-term energy-saving benefits after the renovation (reduced energy consumption), the carbon emission trading benefits after the renovation (such as government carbon emission subsidies), the payback period (ROI) and the net present value (NPV); the comfort assessment uses user feedback data, indoor air quality sensor monitoring data and temperature and humidity control systems to evaluate the comfort improvement effect after the renovation, to ensure that the low-carbon renovation will not affect the indoor environmental quality.

[0051] In some embodiments, the optimization decision support module adopts intelligent algorithms to optimize the transformation plan through machine learning and genetic algorithms, and provides optimization suggestions for the best low-carbon transformation plan; after the performance evaluation is completed, the system enters the optimization decision stage and provides the best choice for the low-carbon transformation plan based on the evaluation results; for multi-plan comparison, the system can compare multiple plans based on the evaluation results of different transformation plans to help decision makers choose the plan that best meets actual needs; the comparison content includes energy efficiency improvement, carbon emission reduction, economic benefits, environmental impact, construction difficulty, etc.; intelligent optimization suggestions, the system uses artificial intelligence-based algorithms (such as machine learning, genetic algorithms, etc.) to optimize different transformation plans, and provide the transformation plan with the best energy-saving effect, the shortest return on investment, and the least environmental impact; feasibility analysis, the system provides a feasibility analysis of the transformation plan, including technical feasibility, economic feasibility and construction feasibility, to help decision makers avoid high-risk plans.

[0052] In some embodiments, the report generation module includes comparative data on energy efficiency, carbon emissions, environmental impact, and economic benefits, comprehensive evaluation conclusions, improvement suggestions, and risk analysis; the report generation module automatically generates a detailed performance evaluation report based on the evaluation and optimization results; the report content includes:

[0053] 1) Comparison of data on energy efficiency, carbon emissions, environmental impact, etc.: List the comparative data before and after the transformation to clarify the transformation effect;

[0054] 2) Comprehensive evaluation conclusion: Based on the multi-dimensional evaluation results, provide a comprehensive evaluation conclusion of the transformation plan, such as analysis of the pros and cons in terms of energy saving effect, carbon emission reduction, economic benefits, etc.;

[0055] 3) Improvement suggestions and optimization directions: Provide optimization suggestions during the transformation process based on the evaluation results, such as using more efficient equipment, more environmentally friendly materials, and strategies to reduce costs;

[0056] 4) Risk points and countermeasures: Analyze the risks that may be encountered during the renovation process (such as budget overruns, construction delays, etc.) and their response strategies.

[0057] like Figure 2 As shown, in some embodiments, a method for evaluating the performance of low-carbon transformation of existing buildings is disclosed, comprising the following steps:

[0058] S1, data collection, obtaining basic data on low-carbon transformation of buildings through the data collection module;

[0059] S2, data preprocessing, preprocessing the acquired basic data of low-carbon transformation of buildings;

[0060] S3, performance evaluation, uses the standards and requirements stored in the evaluation index library to evaluate the building's energy efficiency, carbon emissions, environmental impact, economic benefits and comfort in multiple dimensions, and provides optimization suggestions for the best low-carbon transformation plan based on the evaluation results;

[0061] S4, optimization decision support, using the optimization decision support module, provides decision makers with suggestions for optimizing transformation plans based on the evaluation results, compares the plans, and outputs optimization suggestions for the best low-carbon transformation plan;

[0062] S5, report generation, based on the evaluation results and optimization suggestions, the report generation module automatically generates a low-carbon transformation performance evaluation report;

[0063] S6, program implementation and monitoring, is used to provide real-time monitoring tools to track the implementation progress of the low-carbon transformation program, ensure that the project proceeds on schedule, and provide real-time feedback on problems and deviations in the transformation process.

[0064] In some embodiments, in step S4, suggestions for optimizing the transformation plan are provided to decision makers based on the evaluation results, and the plans are compared to provide optimization suggestions for the best low-carbon transformation plan.

[0065] In some embodiments, in step S5, the content of the low-carbon transformation performance evaluation report includes comparative data on energy efficiency, carbon emissions, environmental impact, and economic benefits, comprehensive evaluation conclusions, improvement suggestions, and risk analysis.

[0066] In some embodiments, after the evaluation and decision support stages are completed, the system can assist in the implementation of the transformation plan; this stage includes: implementation plan monitoring, the system can provide real-time monitoring tools to track the implementation progress of the low-carbon transformation plan, ensure that the project proceeds on schedule, and provide real-time feedback on problems and deviations in the transformation process; post-evaluation and adjustment, after the transformation is completed, the system continues to conduct post-effect evaluation to ensure that the low-carbonization goal is achieved. If it is found that the goal has not been achieved, an adjustment plan can be proposed based on the actual situation.

[0067] So far, various embodiments of the present invention have been described in detail. In order to avoid obscuring the concept of the present invention, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0068] The above-mentioned embodiments only express some implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A low-carbon transformation performance evaluation system for existing buildings, characterized in that: include: A data acquisition module, which is used to collect basic data on low-carbon transformation of buildings; An evaluation index library, which is used to store standards and indicators required for low-carbon transformation evaluation; A performance evaluation model module, wherein the performance evaluation model module evaluates the basic data of low-carbon transformation of buildings collected in the data collection module using the standards and indicators in the evaluation indicator library, and outputs an evaluation result; An optimization decision support module, which is used to provide optimization suggestions for the best low-carbon transformation plan based on the evaluation results; as well as, A report generation module is used to automatically generate a low-carbon transformation performance evaluation report based on the evaluation results and optimization suggestions.

2. The low-carbon transformation performance evaluation system for existing buildings according to claim 1 is characterized by: The basic data for low-carbon transformation of buildings include building energy efficiency data, building materials, building structure, and usage.

3. The low-carbon transformation performance evaluation system for existing buildings according to claim 1 is characterized in that: The basic data for low-carbon transformation of buildings is obtained by one or more methods including on-site investigation, building information model, sensor monitoring, and existing building database.

4. The low-carbon transformation performance evaluation system for existing buildings according to claim 1 is characterized in that: The data acquisition module performs data preprocessing on the collected basic data of low-carbon transformation of buildings; the data preprocessing includes data cleaning, data standardization and data calibration.

5. The low-carbon transformation performance evaluation system for existing buildings according to claim 1 is characterized in that: The performance evaluation model module uses energy efficiency simulation tools, carbon emission calculation models, life cycle assessment models and life cycle cost analysis methods to evaluate the effect of low-carbon transformation of buildings.

6. The low-carbon transformation performance evaluation system for existing buildings according to claim 1 is characterized by: The optimization decision support module adopts intelligent algorithms to optimize the transformation plan through machine learning and genetic algorithms, and provides optimization suggestions for the best low-carbon transformation plan.

7. The low-carbon transformation performance evaluation system for existing buildings according to claim 1 is characterized by: The report generation module includes comparative data on energy efficiency, carbon emissions, environmental impact, economic benefits, comprehensive evaluation conclusions, improvement suggestions and risk analysis.

8. A method for evaluating the performance of low-carbon transformation of existing buildings, characterized in that: The following steps are involved: S1, data collection, obtaining basic data on low-carbon transformation of buildings through the data collection module; S2, data preprocessing, preprocessing the acquired basic data of low-carbon building transformation; S3, performance evaluation, uses the standards and requirements stored in the evaluation index library to evaluate the building's energy efficiency, carbon emissions, environmental impact, economic benefits and comfort in multiple dimensions, and provides optimization suggestions for the best low-carbon transformation plan based on the evaluation results; S4, optimization decision support, using the optimization decision support module, provides decision makers with suggestions for optimizing transformation plans based on the evaluation results, compares the plans, and outputs optimization suggestions for the best low-carbon transformation plan; S5, report generation, based on the evaluation results and optimization suggestions, the report generation module automatically generates a low-carbon transformation performance evaluation report; S6, program implementation and monitoring, is used to provide real-time monitoring tools to track the implementation progress of the low-carbon transformation program, ensure that the project proceeds on schedule, and provide real-time feedback on problems and deviations in the transformation process.

9. The method for evaluating the performance of low-carbon transformation of existing buildings according to claim 8 is characterized in that: In the step S4, suggestions for optimizing the transformation plan are provided to the decision makers based on the evaluation results, and the plans are compared to provide optimization suggestions for the best low-carbon transformation plan.

10. The method for evaluating the performance of low-carbon transformation of existing buildings according to claim 8 is characterized in that: In the S5 step, the content of the low-carbon transformation performance evaluation report includes comparative data on energy efficiency, carbon emissions, environmental impact, and economic benefits, comprehensive evaluation conclusions, improvement suggestions, and risk analysis.

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