Existing middle and primary school building green performance transformation design method

Abstract

The invention relates to the technical field of building reconstruction, and discloses an existing middle and primary school building green performance reconstruction design method, which comprises the steps of early evaluation and model construction; designing a model-based green performance transformation scheme; the invention discloses model optimization of a multi-energy complementary energy system, and relates to distributed energy system modeling, energy scheduling strategy optimization and fault scene simulation. Model optimization of the eco-friendly landscape and rainwater management system covers campus greening model optimization, rainwater management system optimization and environmental impact assessment; and verifying before construction and implementing monitoring. According to the invention, a digital twinborn model is utilized to optimize a transformation scheme, the scientificity and reliability are improved, the construction risk is reduced, the energy efficiency is improved and the cost is reduced through a multi-energy complementary energy system and an intelligent management strategy, and meanwhile, an eco-friendly landscape and rainwater management system is introduced to promote the sustainable development of the campus environment and create a healthy and environment-friendly teaching environment.

Description

Technical Field

[0001] The present invention relates to the technical field of building renovation, and particularly to a design method for green performance renovation of existing primary and secondary school buildings. Background Art

[0002] With the intensification of global climate change and the enhancement of environmental protection awareness, improving building energy efficiency and reducing carbon emissions have become important issues of common concern in the international community. Especially for public education facilities such as primary and secondary schools, problems such as high building energy consumption, uneven indoor environmental quality, and improper water resource management are becoming increasingly prominent, which not only affect the health and learning efficiency of teachers and students, but also cause greater pressure on the surrounding environment. However, existing building energy-saving renovation methods often focus on single technical means or system upgrades, lacking comprehensive solutions that consider the overall performance of buildings and their interaction with the surrounding environment. In addition, traditional renovation methods usually directly enter the construction stage, ignoring in-depth data collection and model analysis in the early stage, resulting in frequent problems such as poor actual effects, cost overruns, and construction delays. To solve these problems, we propose a design method for green performance renovation of existing primary and secondary school buildings. Summary of the Invention

[0003] The main purpose of the present invention is to provide a design method for green performance renovation of existing primary and secondary school buildings, which can effectively solve the problems in the background art.

[0004] To achieve the above purpose, the technical solution adopted by the present invention is as follows: A design method for green performance renovation of existing primary and secondary school buildings includes the following steps: S1. Preliminary evaluation and model construction, including data collection and current situation analysis, digital twin model construction, and model calibration and verification; S2. Design of green performance renovation plan based on the model, which is achieved through preliminary renovation plan design, simulation analysis of the renovation plan, and plan optimization and iteration; S3: Model optimization of the multi-energy complementary energy system, involving distributed energy system modeling, optimization of energy scheduling strategies, and simulation of fault scenarios; S4. Model optimization of the eco-friendly landscape and rainwater management system, covering campus greening model optimization, rainwater management system optimization, and environmental impact assessment; S5. Verification before construction and implementation monitoring, including verification before construction, implementation monitoring and dynamic adjustment, and post-construction effect evaluation and continuous optimization.

[0005] Preferably, in the S1, the preliminary evaluation and model construction specifically include: S101. Data collection and current situation analysis: Collect energy consumption data, indoor environmental quality, building structure information, and external environmental data of existing primary and secondary school buildings; S102. Digital Twin Model Construction: Use the BIM digital twin platform to create a virtual model of primary and secondary school buildings, which includes multi-dimensional information such as but not limited to building structure, energy system, and environmental parameters; S103. Model Calibration and Verification: Input the collected actual data into the model, adjust the model parameters to ensure that the output results are consistent with the actual situation, and use historical data to verify the accuracy of the model.

[0006] Preferably, in S101, the data collection is not limited to static data, but also includes dynamic data, such as energy consumption fluctuations and environmental parameter changes at different times.

[0007] Preferably, in S2, the design of the green performance improvement plan based on the model specifically includes: S201. Preliminary Improvement Plan Design: Propose a preliminary improvement plan in the digital twin model, such as installing intelligent sensors and control systems in classrooms, arranging solar photovoltaic panels on the roof, and planning a rainwater collection and infiltration system on campus; S202. Simulation Analysis of the Improvement Plan: Conduct simulation analysis of the preliminary improvement plan in the model, evaluate its performance under different scenarios, including the reduction ratio of energy consumption, the improvement degree of indoor air quality, and the improvement of rainwater utilization rate; S203. Plan Optimization and Iteration: Optimize the preliminary plan according to the simulation results, adjust the layout angle of photovoltaic panels, increase the rainwater storage capacity, modify the ventilation system design, and ensure the feasibility and economy of the improvement plan through multiple iterations of optimization.

[0008] Preferably, in S203, the simulation analysis also includes the adaptability evaluation of the improvement plan under extreme weather conditions to ensure that the plan can still operate normally in harsh environments.

[0009] Preferably, in S3, the model optimization of the multi-energy complementary energy system specifically includes: S301. Distributed Energy System Modeling: Build a distributed energy supply system in the digital twin model to simulate the operation modes of solar photovoltaic panels, small wind turbines, and energy storage devices; S302. Optimization of Energy Scheduling Strategy: Use the model to simulate the energy demand and supply situations under different weather conditions, and optimize the scheduling strategy of the energy management system, such as giving priority to using photovoltaic power generation on sunny days, giving priority to using energy storage electric energy during peak electricity price periods, and starting wind turbines when the wind is strong; S303. Fault Scenario Simulation: Simulate various fault scenarios in the model, such as photovoltaic panel damage and energy storage device failure, evaluate their impacts on energy supply, and formulate emergency plans.

[0010] Preferably, in the step S302, the optimization of the energy scheduling strategy further includes predicting the future energy price trend to further optimize the cost-benefit ratio.

[0011] Preferably, in the step S4, the model optimization of the eco-friendly landscape and rainwater management system specifically includes: S401. Optimization of the campus greening model: Simulate the impact of different vegetation layouts on the campus environment in the model, such as shading effect, cooling effect, and irrigation water demand, and select the optimal vegetation species and layout plan; S402. Optimization of the rainwater management system: Simulate the whole process of rainwater collection, storage, filtration, and reuse in the model, evaluate the water resource utilization efficiency of different design schemes, adjust the depth and area of the rain garden, optimize the capacity of the storage tank, and improve the distribution of permeable paving materials; S403. Environmental impact assessment: Use the model to evaluate the overall impact of the renovation plan on the campus ecological environment, such as the reduction of carbon emissions and the improvement of biodiversity, to ensure that the renovation plan meets the sustainable development goals.

[0012] Preferably, in the step S401, the optimization of the campus greening model further includes introducing a local plant database and recommending suitable plant species according to the climate conditions of different regions.

[0013] Preferably, in the step S5, the pre-construction verification and implementation monitoring specifically include: S501. Pre-construction verification: Conduct construction simulation on the finally optimized renovation plan in the digital twin model to evaluate potential problems during the construction process; S502. Implementation monitoring and dynamic adjustment: During the construction process, update the digital twin model with real-time data, monitor the renovation progress and effect, and monitor the temperature and humidity changes at the construction site through sensors to adjust the construction plan in a timely manner; S503. Post-construction effect evaluation and continuous optimization: After the construction is completed, use the model to compare the actual effect with the expected goal, evaluate the overall effectiveness of the renovation project, and conduct continuous optimization according to the feedback information to ensure that the expected effect is achieved.

[0014] Preferably, in the step S502, the implementation monitoring and dynamic adjustment further include a real-time feedback mechanism that allows on-site staff to immediately adjust the construction plan and synchronize the adjusted information to the digital twin model.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. By establishing a detailed digital twin model and conducting simulation analysis, the present invention significantly improves the scientificity and reliability of the green performance renovation plan for existing primary and secondary school buildings. Before actual construction, all design and improvement measures can be comprehensively tested and optimized in a virtual environment to ensure that every decision is made based on accurate data analysis and simulation results. This method not only reduces the uncertainties and risks that may be brought about by direct construction but also can provide customized solutions for specific requirements in different scenarios, thus achieving the best renovation effect.

[0016] 2. By optimizing the multi-energy complementary energy system and implementing intelligent energy management strategies, the present invention greatly improves energy utilization efficiency while reducing operating costs. By adopting advanced energy scheduling algorithms and fault scenario simulation technologies, it is possible to effectively predict and respond to changes in energy demand under various weather conditions, rationally allocate and use renewable energy such as solar energy and wind energy, as well as energy storage devices, and reduce dependence on the external power grid. In addition, by considering future energy price trends, the economy of the system is further optimized, making the entire energy management system more efficient and economical, and saving a large amount of electricity expenses for the school.

[0017] 3. By introducing the design concept of an eco-friendly landscape and rainwater management system, the present invention promotes the sustainable development of the campus ecological environment. Selecting suitable vegetation species in combination with local climate characteristics and optimizing the rainwater collection, storage, and reuse system can not only beautify the campus environment but also effectively reduce irrigation water consumption and relieve the pressure on the urban drainage system. Through a comprehensive assessment of the overall environmental impact, it is ensured that all renovation measures meet environmental protection standards, which helps to create a beautiful and healthy teaching environment and is of great significance for improving the learning experience and quality of life of students. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of a design method for renovating the green performance of existing primary and secondary school buildings according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] To make the technical means, creative features, achieved purposes, and functions of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0020] As Figure 1 shown, a design method for renovating the green performance of existing primary and secondary school buildings includes the following steps: S1. Preliminary evaluation and model construction: S101. Data collection and current situation analysis: Collect energy consumption data, indoor environmental quality, building structure information, and external environmental data of existing primary and secondary school buildings; Among them, the data collection is not limited to static data, but also includes dynamic data, such as energy consumption fluctuations and environmental parameter changes at different times.

[0021] S102. Digital twin model construction: Use the BIM digital twin platform to create a virtual model of the primary and secondary school building, which includes multi-dimensional information such as but not limited to building structure, energy system, and environmental parameters. S103. Model calibration and verification: Input the collected actual data into the model, adjust the model parameters to ensure that the output results are consistent with the actual situation, and use historical data to verify the accuracy of the model.

[0022] S2. Design of green performance improvement solutions based on the model: S201. Preliminary improvement solution design: Propose a preliminary improvement solution in the digital twin model, such as installing intelligent sensors and control systems in the classroom, arranging solar photovoltaic panels on the roof, and planning a rainwater collection and infiltration system on the campus. S202. Simulation analysis of the improvement solution: Conduct simulation analysis of the preliminary improvement solution in the model, evaluate its performance in different scenarios, including the reduction ratio of energy consumption, the improvement degree of indoor air quality, and the improvement of rainwater utilization rate. S203. Solution optimization and iteration: Optimize the preliminary solution according to the simulation results, adjust the layout angle of the photovoltaic panels, increase the rainwater storage capacity, modify the ventilation system design, and ensure the feasibility and economy of the improvement solution through multiple iterations of optimization.

[0023] Among them, the simulation analysis also includes the adaptability evaluation of the improvement solution under extreme weather conditions to ensure that the solution can still operate normally in harsh environments.

[0024] S3: Model optimization of the multi-energy complementary energy system: S301. Distributed energy system modeling: Build a distributed energy supply system in the digital twin model to simulate the operation modes of solar photovoltaic panels, small wind turbines, and energy storage devices. S302. Optimization of energy scheduling strategies: Use the model to simulate the energy demand and supply situations under different weather conditions, and optimize the scheduling strategies of the energy management system, such as giving priority to using photovoltaic power generation on sunny days, giving priority to using energy storage electric energy during peak electricity price periods, and starting the wind turbine when the wind is strong. Among them, the optimization of energy scheduling strategies also includes the prediction of future energy price trends to further optimize the cost-benefit ratio.

[0025] S303. Fault scenario simulation: Simulate various fault scenarios in the model, such as photovoltaic panel damage and energy storage device failure, evaluate their impacts on energy supply, and formulate emergency plans.

[0026] S4. Model Optimization of Eco-Friendly Landscape and Rainwater Management System: S401. Campus Greening Model Optimization: Simulate the impact of different vegetation layouts on the campus environment in the model, such as shading effect, cooling effect, and irrigation water demand, and select the optimal vegetation species and layout plan; Among them, the campus greening model optimization also includes introducing a local plant database and recommending suitable plant species according to the climate conditions of different regions.

[0027] S402. Rainwater Management System Optimization: Simulate the whole process of rainwater collection, storage, filtration, and reuse in the model, evaluate the water resource utilization efficiency of different design schemes, adjust the depth and area of the rain garden, optimize the capacity of the storage tank, and improve the distribution of permeable paving materials; S403. Environmental Impact Assessment: Use the model to evaluate the overall impact of the renovation plan on the campus ecological environment, such as the reduction of carbon emissions and the improvement of biodiversity, and ensure that the renovation plan meets the sustainable development goals.

[0028] S5. Pre-Construction Verification and Implementation Monitoring: S501. Pre-Construction Verification: Conduct construction simulation of the finally optimized renovation plan in the digital twin model and evaluate potential problems during the construction process; S502. Implementation Monitoring and Dynamic Adjustment: During the construction process, update the digital twin model with real-time data, monitor the renovation progress and effect, and monitor the temperature and humidity changes at the construction site through sensors to adjust the construction plan in a timely manner; Among them, the implementation monitoring and dynamic adjustment also include a real-time feedback mechanism that allows on-site staff to adjust the construction plan immediately and synchronize the adjusted information to the digital twin model.

[0029] S503. Post-Construction Effect Evaluation and Continuous Optimization: After the construction is completed, use the model to compare the actual effect with the expected goal, evaluate the overall effectiveness of the renovation project, and conduct continuous optimization according to the feedback information to ensure that the expected effect is achieved.

[0030] Through the establishment of a detailed digital twin model and simulation analysis, the scientificity and reliability of the green performance renovation plan for existing primary and secondary school buildings have been significantly improved. Before actual construction, all design and improvement measures can be comprehensively tested and optimized in a virtual environment to ensure that every decision is made based on accurate data analysis and simulation results. This method not only reduces the uncertainties and risks that may be brought about by direct construction but also can provide customized solutions for specific requirements in different scenarios, thus achieving the best renovation effect; By optimizing the multi-energy complementary energy system and implementing intelligent energy management strategies, the energy utilization efficiency has been greatly improved while the operating costs have been reduced. Advanced energy scheduling algorithms and fault scenario simulation technologies can be used to effectively predict and respond to changes in energy demand under various weather conditions, rationally allocate and use renewable energy such as solar energy and wind energy as well as energy storage devices, and reduce the dependence on the external power grid. In addition, by considering future energy price trends, the economy of the system has been further optimized, making the entire energy management system more efficient and economical, and saving a large amount of electricity expenses for the school; By introducing the design concept of an eco-friendly landscape and rainwater management system, the sustainable development of the campus ecological environment has been promoted. Selecting suitable vegetation species in combination with local climate characteristics and optimizing the rainwater collection, storage, and reuse system can not only beautify the campus environment but also effectively reduce the irrigation water consumption and relieve the pressure on the urban drainage system. Through a comprehensive assessment of the overall environmental impact, ensuring that all renovation measures meet environmental protection standards helps to create a beautiful and healthy teaching environment, which is of great significance for enhancing students' learning experience and quality of life.

[0031] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A green performance retrofit design method for existing primary and secondary school buildings, characterized in that: It includes the following steps: S1. Preliminary evaluation and model construction, including data collection and current situation analysis, digital twin model construction, and model calibration and verification; S2. Design of green performance transformation plan based on the model, which is achieved through preliminary transformation plan design, simulation analysis of the transformation plan, and plan optimization and iteration; S3: Model optimization of the multi-energy complementary energy system, involving distributed energy system modeling, energy dispatch strategy optimization, and fault scenario simulation; S4. Model optimization of the eco-friendly landscape and rainwater management system, covering campus greening model optimization, rainwater management system optimization, and environmental impact assessment; S5. Pre-construction verification and implementation monitoring, including pre-construction verification, implementation monitoring and dynamic adjustment, and post-effect evaluation and continuous optimization; Among them, in the S4, the model optimization of the eco-friendly landscape and rainwater management system specifically includes: S401. Campus greening model optimization: Simulate the impact of different vegetation layouts on the campus environment in the model, and select the optimal vegetation species and layout plan; S402. Rainwater management system optimization: Simulate the whole process of rainwater collection, storage, filtration and reuse in the model, evaluate the water resource utilization efficiency of different design schemes, adjust the depth and area of the rain garden, optimize the capacity of the storage tank, and improve the distribution of permeable paving materials; S403. Environmental impact assessment: Use the model to evaluate the overall impact of the transformation plan on the campus ecological environment, and ensure that the transformation plan meets the sustainable development goals.

2. The green performance renovation design method for existing primary and secondary school buildings according to claim 1, characterized in that: In the S1, the preliminary evaluation and model construction specifically include: S101. Data collection and current situation analysis: Collect energy consumption data, indoor environmental quality, building structure information, and external environmental data of existing primary and secondary school buildings; S102. Digital twin model construction: Use the BIM digital twin platform to create a virtual model of the primary and secondary school building, which includes multi-dimensional information such as but not limited to building structure, energy system, and environmental parameters; S103. Model calibration and verification: Input the collected actual data into the model, adjust the model parameters to ensure that the output results are consistent with the actual situation, and use historical data to verify the model accuracy.

3. A green performance renovation design method for existing primary and secondary school buildings according to claim 2, characterized in that: In the S101, the data collection is not limited to static data, but also includes dynamic data.

4. A green performance retrofit design method for existing primary and secondary school buildings according to claim 1, characterized in that: In the S2, the design of the green performance transformation plan based on the model specifically includes: S201. Preliminary transformation plan design: Propose a preliminary transformation plan in the digital twin model; S202. Simulation analysis of the transformation plan: Conduct simulation analysis of the preliminary transformation plan in the model, and evaluate the performance under different scenarios, including the reduction ratio of energy consumption, the improvement degree of indoor air quality, and the improvement of rainwater utilization rate; S203. Plan optimization and iteration: Optimize the preliminary plan according to the simulation results, adjust the layout angle of photovoltaic panels, increase the rainwater storage capacity, modify the ventilation system design, and ensure the feasibility and economy of the transformation plan through multiple iterations of optimization.

5. A green performance renovation design method for existing primary and secondary school buildings according to claim 4, characterized in that: In the S203, the simulation analysis also includes the adaptability assessment of the transformation plan under extreme weather conditions to ensure that the plan can still operate normally in harsh environments.

6. A green performance retrofit design method for existing primary and secondary school buildings according to claim 1, characterized in that: In the S3, the model optimization of the multi-energy complementary energy system specifically includes: S301. Distributed Energy System Modeling: Build a distributed energy supply system in the digital twin model to simulate the operating modes of solar photovoltaic panels, small wind turbines, and energy storage devices; S302. Energy Scheduling Strategy Optimization: Use the model to simulate energy demand and supply under different weather conditions and optimize the scheduling strategy of the energy management system; S303. Fault Scenario Simulation: Simulate various fault scenarios in the model, evaluate their impact on energy supply, and formulate emergency plans.

7. A green performance renovation design method for existing primary and secondary school buildings according to claim 6, characterized in that: In S302, the energy scheduling strategy optimization also includes predicting future energy price trends to further optimize the cost-benefit ratio.

8. A green performance retrofit design method for existing primary and secondary school buildings according to claim 1, characterized in that: In S401, the optimization of the campus greening model also includes introducing a local plant database and recommending suitable plant species according to the climate conditions of different regions.

9. A green performance renovation design method for existing primary and secondary school buildings according to claim 1, characterized in that: In S5, the pre-construction verification and implementation monitoring specifically include: S501. Pre-construction Verification: Conduct construction simulation of the finally optimized renovation plan in the digital twin model to evaluate potential problems during construction; S502. Implementation Monitoring and Dynamic Adjustment: During construction, update the digital twin model with real-time data, monitor the renovation progress and effects, monitor the temperature and humidity changes at the construction site through sensors, and adjust the construction plan in a timely manner; S503. Post-construction Effect Evaluation and Continuous Optimization: After construction, use the model to compare the actual effects with the expected goals, evaluate the overall effectiveness of the renovation project, and conduct continuous optimization based on the feedback information to ensure that the expected effects are achieved.

10. A method for retrofitting the green performance of existing primary and secondary school buildings according to claim 9, characterized in that: In S502, the implementation monitoring and dynamic adjustment also include a real-time feedback mechanism that allows on-site staff to immediately adjust the construction plan and synchronize the adjusted information to the digital twin model.

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