Method for optimizing internal and external thermal insulation energy consumption of existing building external wall based on building model

Abstract

The invention discloses an existing building outer wall internal and external heat insulation energy consumption optimization method based on a building model, and belongs to the technical field of building design. In order to solve the problems of insufficient data comprehensiveness and incomplete thermal insulation scheme evaluation, the thermal insulation performance of a building can be evaluated more accurately by checking an outer wall structure on site, recording material types, damage degrees and the current situation of a thermal insulation layer and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement; digitization and visualization of building information are achieved through the BIM technology, historical energy consumption data are collected from multiple data sources and systematic arrangement and classification are carried out, the readability of the data is improved, rapid import and analysis can be conveniently carried out in energy consumption simulation software, and therefore the energy consumption condition of a building is reflected more accurately; according to the method, comprehensive coverage of multiple possibilities is achieved, the influence of different heat preservation schemes on energy consumption can be evaluated more comprehensively, differentiated design is conducted on the thickness of the heat preservation layer based on the energy consumption simulation result, and the heat preservation performance of a building is effectively improved.

Description

Technical Field

[0001] The invention relates to the technical field of building design, and in particular to a method for optimizing the energy consumption of internal and external thermal insulation of an existing building exterior wall based on a building model. Background Art

[0002] At present, building energy consumption has become the main part of energy consumption. Through exterior wall insulation renovation, the thermal insulation performance of the building can be enhanced, the indoor temperature can be ensured to be stable, the use of air conditioning and heating can be reduced, and energy consumption can be reduced. In addition, insulation renovation can also improve the indoor environment, enhance living comfort, and reduce the impact of harmful substances released by building materials on indoor air quality. However, there are still the following problems in actual operation:

[0003] Existing technologies rely on limited or incomplete building information to conduct energy consumption analysis and insulation design, resulting in inaccurate analysis results. At the same time, existing technologies may only evaluate a single insulation solution without considering multiple possibilities and combinations, and may not be able to provide decision makers with intuitive, quantified energy-saving effects and economic benefit analysis. Summary of the invention

[0004] The purpose of the present invention is to provide a method for optimizing the energy consumption of internal and external thermal insulation of the exterior walls of an existing building based on a building model, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for optimizing the energy consumption of internal and external thermal insulation of an existing building exterior wall based on a building model, comprising the following steps:

[0006] Current situation survey modeling: conduct detailed survey and current situation assessment of existing buildings, record the current situation of buildings, including the exterior wall structure, material status, insulation layer status and thermal insulation performance, measure and record basic information of buildings through on-site survey, including building area, height and orientation, create or import BIM models of existing buildings based on BIM, and collect building energy consumption data, including historical energy consumption records;

[0007] Energy consumption simulation analysis: import the BIM model into the energy consumption simulation software, set environmental parameters, building usage, and different insulation materials, thicknesses, and construction process parameters, conduct multi-scenario building energy consumption simulation, analyze the energy consumption performance under different insulation schemes, find out the parts and time periods with high energy consumption, and identify energy-saving potential areas;

[0008] Optimize the design of the scheme, select the external wall insulation materials based on the results of the energy consumption simulation analysis, determine the construction technology scheme for internal and external insulation, combine the simulation data with the material evaluation, design the optimal internal and external insulation scheme, including the thickness of the insulation layer and the layout parameters, and integrate and optimize the insulation layer design with other building systems, including the HVAC and lighting systems, through visual collaborative optimization through BIM;

[0009] Implementation of construction preparation, formulation of construction plan, including material procurement, staffing, time planning, technical briefing and safety training before construction;

[0010] In the later stage, evaluation and optimization are carried out, an energy consumption monitoring system is installed, data is collected regularly, comparative analysis is carried out with that before the renovation, the insulation effect and energy-saving results are evaluated, and the insulation system is continuously optimized and improved based on the monitoring results.

[0011] Furthermore, the current situation survey modeling specifically includes the following steps:

[0012] Detailed investigation and status assessment, on-site inspection of the exterior wall structure of existing buildings, recording the type of materials, degree of damage and status of the insulation layer, testing the thermal insulation performance of the exterior wall through thermal resistance test and heat transfer coefficient measurement, and obtaining building area, height and orientation information based on architectural drawings and maintenance records;

[0013] BIM model creation: if there is a BIM model of the existing building, check the model integrity and confirm whether the model meets the energy consumption simulation requirements. If there is no BIM model of the existing building or the BIM model of the existing building does not meet the energy consumption simulation requirements, create a BIM three-dimensional model of the existing building in the BIM software based on the on-site investigation results and collected data, and set adjustable parameters for the walls and insulation elements in the model.

[0014] Furthermore, the current situation survey modeling specifically includes the following steps:

[0015] Building energy consumption data collection: obtain historical energy consumption data from building management systems, electricity meters, heat meters, and metering equipment, organize the collected energy consumption data, classify the energy consumption data by season, time period, and purpose, and import the organized energy consumption data into energy consumption simulation software;

[0016] Preparation of current status assessment report, summarizing the data structure of field investigation, model creation and energy consumption data collection, and preparing the current status assessment report of the exterior wall insulation of existing buildings. The assessment report includes current status analysis, problem identification and renovation suggestions.

[0017] Furthermore, the energy consumption simulation analysis further includes the following steps:

[0018] Model parameter setting: according to the climate data of the geographical location of the existing building, input the temperature, humidity, wind speed, and solar radiation parameters throughout the year and in key seasons, set the building's usage time mode, personnel density, and equipment usage, and preset insulation material options for the exterior wall in the model. The insulation material options include thermal conductivity, density, and thickness range parameters for each material;

[0019] Multi-scenario energy consumption simulation sets a baseline scenario without an insulation layer to simulate the annual energy consumption under this state. Different simulation schemes of internal insulation only, external insulation only, and internal and external combined insulation are simulated respectively. At the same time, each simulation scheme is further subdivided into sub-scenarios with different insulation materials and insulation thicknesses for simulation, and a sensitivity analysis is performed on the variables in each sub-scenario. Dynamic simulation is used to analyze the energy consumption impact of external environmental changes in different time periods to obtain simulated energy consumption data.

[0020] Furthermore, the energy consumption simulation analysis further includes the following steps:

[0021] Energy consumption analysis: collect simulated energy consumption data of all simulation scenarios, conduct comparative analysis, and identify the time periods and locations with the highest energy consumption;

[0022] Identify energy saving potential, by comparing the energy consumption performance of different insulation solutions, identify the areas with the greatest energy saving potential and the transformation solutions;

[0023] Evaluate the expected energy-saving effect after the transformation and generate a detailed energy consumption simulation analysis report, which includes an energy consumption comparison chart of each plan, energy-saving rate calculation, and economic benefit analysis.

[0024] Furthermore, the optimization scheme design specifically includes the following steps:

[0025] Insulation material selection: The insulation material to be selected is determined based on the requirements for the performance of different insulation materials in the energy consumption simulation analysis and the actual project conditions, including regional climate conditions, building characteristics, and budget constraints;

[0026] Insulation layer layout design: Based on the energy consumption simulation results, the thickness range of the insulation layer is preliminarily determined. According to the high energy consumption locations and time periods identified in the energy consumption simulation, the thickness of the insulation layer is differentiated and the thickness of the insulation layer is increased in key areas.

[0027] Formulate construction technology plan, select construction technology and process according to the selected insulation materials and the current status of the building, formulate the connection and sealing plan between the insulation layer and the base layer, waterproof layer and finishing layer, and plan the construction process, which includes the construction sequence, key node control and quality inspection point setting;

[0028] System collaborative optimization, combined with insulation layer transformation, air conditioning optimization for HVAC system, and lighting energy-saving transformation for lighting system;

[0029] Among them, the air conditioning adjustment optimization includes adjusting the air volume distribution and setting the operating parameters, and the lighting energy-saving transformation includes introducing an intelligent control system and using energy-saving lamps.

[0030] Furthermore, the construction preparation implementation specifically includes the following steps:

[0031] Construction plan planning, breaking down the overall construction tasks into specific subtasks, including material preparation, base treatment, insulation layer construction, waterproof layer construction, and surface restoration. A time schedule is developed based on the subtasks, including the completion time of key nodes and the overall construction period estimate, and the required human and material resources are clearly defined;

[0032] Technical briefing: organize the construction team to hold a technical briefing meeting to introduce construction drawings, construction specifications, technical standards and special construction process requirements.

[0033] Furthermore, the post-evaluation optimization specifically includes the following steps:

[0034] Design an energy consumption monitoring system based on the characteristics of the building and the requirements of the insulation system after renovation, determine the layout of monitoring points, data collection frequency and data transmission method, and install energy consumption monitoring equipment, including temperature sensors, electricity meters and water meters;

[0035] Debug the energy consumption monitoring system.

[0036] Furthermore, the post-evaluation optimization specifically includes the following steps:

[0037] According to the set data collection frequency, the building's energy consumption data is regularly collected from the energy consumption monitoring system, and the energy consumption data after the renovation is compared and analyzed with the historical energy consumption records before the renovation. The energy saving rate and energy saving amount are calculated, and the overall effect of the insulation renovation is comprehensively evaluated based on the energy consumption data, building usage and environmental conditions.

[0038] Furthermore, the post-evaluation optimization specifically includes the following steps:

[0039] Real-time monitoring of energy consumption data within each unit time period, wherein the value range of the unit time is 3h-6h;

[0040] Obtaining energy consumption characterization coefficients according to energy consumption data in each unit time period;

[0041] The energy consumption characterization coefficient is obtained by the following formula:

[0042]

[0043] Where E represents the energy consumption characterization coefficient; n represents the number of unit time periods; W i represents the energy consumption data corresponding to the i-th unit time period; W max Indicates the maximum value of energy consumption data in a single hour; W hmin Indicates the minimum value of energy consumption data in n unit time periods;

[0044] Comparing the energy consumption characterization coefficient with a preset coefficient threshold;

[0045] When the energy consumption characterization coefficient exceeds the preset coefficient threshold, the data collection frequency is adjusted using the energy consumption characterization coefficient, wherein the adjusted data collection frequency is obtained by the following formula:

[0046]

[0047] Where F represents the adjusted data collection frequency; F 0 represents the data collection frequency before adjustment; E represents the energy consumption characterization coefficient; E y represents the preset coefficient threshold; e represents a constant, and its value is 2.71.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] 1. The present invention can more accurately evaluate the thermal insulation performance of a building by inspecting the exterior wall structure on site, recording the type of materials, degree of damage and status of the insulation layer, and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement, thereby ensuring the accuracy and comprehensiveness of the data used for subsequent analysis, checking the integrity and applicability of the existing BIM model, or recreating the BIM model based on the results of on-site investigation when necessary, setting adjustable parameters for key elements in the model, making full use of existing resources, and realizing the digitization and visualization of building information through BIM technology. It collects historical energy consumption data from multiple data sources, and systematically organizes and classifies them, thereby improving the readability of the data and facilitating rapid import and analysis in energy consumption simulation software, thereby more accurately reflecting the energy consumption status of the building.

[0050] 2. The present invention inputs detailed climate data and usage conditions, and presets a variety of insulation material options for the exterior wall, so that the energy consumption simulation is closer to the actual situation, and the accuracy and reliability of the simulation results are improved. By setting a baseline scenario without an insulation layer, and simulating different schemes of only internal insulation, only external insulation, and internal and external combined insulation, and further subdividing the simulation into sub-scenarios with different insulation materials and insulation thicknesses, a comprehensive coverage of multiple possibilities is achieved, which is helpful to more comprehensively evaluate the impact of different insulation schemes on energy consumption, collect and compare and analyze the energy consumption data of all simulated scenarios, identify the time periods and locations with the highest energy consumption, as well as the areas and renovation plans with the greatest energy-saving potential, which helps decision makers to more intuitively understand the energy-saving effects and economic benefits brought about by the renovation, and also helps to formulate more scientific and reasonable renovation plans and budgets.

[0051] 3. The present invention determines the selected insulation materials according to the requirements for the performance of different insulation materials in the energy consumption simulation analysis and the actual situation of the project, thereby ensuring that the insulation materials can meet the energy-saving requirements while taking into account economy and practicality. Reasonable selection of insulation materials not only helps to reduce the renovation cost, but also brings long-term economic benefits by reducing energy consumption. Based on the energy consumption simulation results, the thickness of the insulation layer is differentiated and designed, and the insulation is strengthened in high-energy consumption areas and time periods, which can effectively improve the insulation performance of the building and reduce energy consumption. The differentiated insulation layer design can significantly improve the energy-saving effect of the building without increasing too much cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a schematic flow chart of the method for optimizing the energy consumption of internal and external insulation of the exterior walls of an existing building based on a building model according to the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] In order to solve the technical problems that the existing technology relies on limited or incomplete building information for energy consumption analysis and insulation design, resulting in inaccurate analysis results, and the existing technology may only evaluate a single insulation solution without considering multiple possibilities and combinations, and may not be able to provide decision makers with intuitive and quantified energy-saving effects and economic benefit analysis, please refer to Figure 1 , the present invention provides the following technical solutions:

[0055] The method for optimizing the energy consumption of internal and external thermal insulation of the exterior walls of an existing building based on a building model includes the following steps:

[0056] Current situation survey modeling: conduct detailed survey and current situation assessment of existing buildings, record the current situation of buildings, including the exterior wall structure, material status, insulation layer status and thermal insulation performance, measure and record basic information of buildings through on-site survey, including building area, height and orientation, create or import BIM models of existing buildings based on BIM, and collect building energy consumption data, including historical energy consumption records;

[0057] Energy consumption simulation analysis: import the BIM model into the energy consumption simulation software, set environmental parameters, building usage, and different insulation materials, thicknesses, and construction process parameters, conduct multi-scenario building energy consumption simulation, analyze the energy consumption performance under different insulation schemes, find out the parts and time periods with high energy consumption, and identify areas with energy-saving potential;

[0058] Optimize the design of the scheme, select the external wall insulation materials based on the results of the energy consumption simulation analysis, determine the construction technology scheme for internal and external insulation, combine the simulation data with the material evaluation, design the optimal internal and external insulation scheme, including the thickness of the insulation layer and the layout parameters, and integrate and optimize the insulation layer design with other building systems, including the HVAC and lighting systems, through visual collaborative optimization through BIM;

[0059] Implementation of construction preparation, formulation of construction plan, including material procurement, staffing, time planning, technical briefing and safety training before construction;

[0060] In the later stage, evaluation and optimization are carried out, an energy consumption monitoring system is installed, data is collected regularly, comparative analysis is carried out with that before the renovation, the insulation effect and energy-saving results are evaluated, and the insulation system is continuously optimized and improved based on the monitoring results.

[0061] In the above embodiment, through on-site investigation and measurement, key information such as the exterior wall structure, material status, insulation layer status and thermal insulation performance of the existing building is accurately recorded, and the BIM technology is used to create or import the BIM model of the existing building to realize the digitization and visualization of the building information, which is convenient for subsequent analysis and optimization. The BIM model is imported into the energy consumption simulation software, and different environmental parameters, building usage conditions, insulation materials, thickness, and construction process parameters are set to perform multi-scenario building energy consumption simulation. It can comprehensively consider various factors, improve the accuracy and reliability of energy consumption simulation, find out the parts and time periods with high energy consumption through energy consumption simulation analysis, identify energy-saving potential areas, and provide a scientific basis for optimization scheme design.

[0062] In the above embodiment, based on the results of energy consumption simulation analysis, suitable exterior wall insulation materials are selected, the construction technology scheme for internal and external insulation is determined, and the optimal internal and external insulation scheme is designed by combining simulation data with material evaluation, including insulation layer thickness and layout parameters. The insulation layer design is integrated and optimized with other building systems, and visual collaborative optimization is performed through BIM to ensure coordination and efficient operation among the systems.

[0063] In the above embodiment, after the construction renovation is completed, an energy consumption monitoring system is installed to collect data regularly to provide data support for evaluating the insulation effect and energy-saving results. The energy consumption data after the renovation is compared and analyzed with that before the renovation to evaluate the insulation effect and energy-saving results. Based on the monitoring results, the insulation system is continuously optimized and improved to ensure that the building maintains an efficient and energy-saving state for a long time.

[0064] Current situation survey modeling also includes the following steps:

[0065] Detailed investigation and status assessment, on-site inspection of the exterior wall structure of existing buildings, recording the type of materials, degree of damage and status of the insulation layer, testing the thermal insulation performance of the exterior wall through thermal resistance test and heat transfer coefficient measurement, and obtaining building area, height and orientation information based on architectural drawings and maintenance records;

[0066] BIM model creation: if there is a BIM model of an existing building, check the model integrity and confirm whether the model meets the energy consumption simulation requirements. If there is no BIM model of an existing building or the BIM model of an existing building does not meet the energy consumption simulation requirements, create a BIM 3D model of the existing building in the BIM software based on the on-site survey results and collected data, and set adjustable parameters for the wall and insulation layer elements in the model.

[0067] Building energy consumption data collection: obtain historical energy consumption data from building management systems, electricity meters, heat meters, and metering equipment, organize the collected energy consumption data, classify the energy consumption data by season, time period, and purpose, and import the organized energy consumption data into energy consumption simulation software;

[0068] Preparation of current status assessment report, summarizing the data structure of field investigation, model creation and energy consumption data collection, and preparing the current status assessment report of the exterior wall insulation of existing buildings. The assessment report includes current status analysis, problem identification and renovation suggestions.

[0069] In the above embodiment, by inspecting the exterior wall structure on site, recording the type of materials, degree of damage and status of the insulation layer, and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement, the thermal insulation performance of the building can be evaluated more accurately, ensuring the accuracy and comprehensiveness of the data used for subsequent analysis, checking the integrity and applicability of the existing BIM model, or recreating the BIM model based on the results of the on-site investigation when necessary, setting adjustable parameters for key elements in the model, making full use of existing resources, and realizing the digitization and visualization of building information through BIM technology. Historical energy consumption data is collected from multiple data sources and systematically organized and classified, which improves the readability of the data and facilitates rapid import and analysis in energy consumption simulation software, thereby more accurately reflecting the energy consumption status of the building.

[0070] Energy consumption simulation analysis also includes the following steps:

[0071] Model parameter setting: according to the climate data of the geographical location of the existing building, input the temperature, humidity, wind speed, and solar radiation parameters throughout the year and in key seasons, set the building's usage time mode, personnel density, and equipment usage, and preset insulation material options for the exterior wall in the model. The insulation material options include thermal conductivity, density, and thickness range parameters for each material;

[0072] Multi-scenario energy consumption simulation: set a baseline scenario without insulation layer, simulate the annual energy consumption under this state, simulate different simulation schemes of only internal insulation, only external insulation, and internal and external combined insulation, and further subdivide each simulation scheme into different insulation materials and insulation thickness sub-scenarios for simulation. Perform sensitivity analysis on the variables in each sub-scenario, use dynamic simulation to analyze the energy consumption impact of external environment changes in different time periods, and obtain simulated energy consumption data;

[0073] Energy consumption analysis: collect simulated energy consumption data of all simulation scenarios, conduct comparative analysis, and identify the time periods and locations with the highest energy consumption;

[0074] Identify energy saving potential, by comparing the energy consumption performance of different insulation solutions, identify the areas with the greatest energy saving potential and the transformation solutions;

[0075] Evaluate the expected energy-saving effect after the transformation and generate a detailed energy consumption simulation analysis report, which includes an energy consumption comparison chart of each plan, energy-saving rate calculation, and economic benefit analysis.

[0076] In the above embodiment, by inputting detailed climate data and usage conditions, and presetting a variety of insulation material options for the exterior wall, the energy consumption simulation is closer to the actual situation, and the accuracy and reliability of the simulation results are improved. By setting a baseline scenario without an insulation layer, and simulating different schemes of only internal insulation, only external insulation, and combined internal and external insulation, and further subdividing the simulation into sub-scenarios of different insulation materials and insulation thicknesses, a comprehensive coverage of various possibilities is achieved, which helps to more comprehensively evaluate the impact of different insulation schemes on energy consumption.

[0077] In the above embodiment, the energy consumption data of all simulation scenarios are collected, compared and analyzed, and the time periods and locations with the highest energy consumption, as well as the areas and renovation plans with the greatest energy-saving potential are identified. By generating a detailed energy consumption simulation analysis report, including energy consumption comparison charts of each plan, energy-saving rate calculations, economic benefit analysis, etc., the renovation effect can be quantitatively evaluated, which not only helps decision makers to more intuitively understand the energy-saving effects and economic benefits brought about by the renovation, but also helps to formulate more scientific and reasonable renovation plans and budgets.

[0078] The optimization scheme design also includes the following steps:

[0079] Insulation material selection: The insulation material to be selected is determined based on the requirements for the performance of different insulation materials in the energy consumption simulation analysis and the actual project conditions, including regional climate conditions, building characteristics, and budget constraints;

[0080] Insulation layer layout design: Based on the energy consumption simulation results, the thickness range of the insulation layer is preliminarily determined. According to the high energy consumption locations and time periods identified in the energy consumption simulation, the thickness of the insulation layer is differentiated and the thickness of the insulation layer is increased in key areas.

[0081] Formulate construction technology plan, select construction technology and process according to the selected insulation materials and the current status of the building, formulate the connection and sealing plan between the insulation layer and the base layer, waterproof layer and finishing layer, and plan the construction process, which includes the construction sequence, key node control and quality inspection point setting;

[0082] System collaborative optimization, combined with insulation layer transformation, air conditioning optimization for HVAC system, and lighting energy-saving transformation for lighting system;

[0083] Among them, the air conditioning adjustment optimization includes adjusting the air volume distribution and setting the operating parameters, and the lighting energy-saving transformation includes introducing an intelligent control system and using energy-saving lamps.

[0084] In the above embodiment, the selected insulation materials are determined according to the requirements for the performance of different insulation materials in the energy consumption simulation analysis and combined with the actual situation of the project, ensuring that the insulation materials can meet the energy-saving requirements while taking into account economy and practicality. Reasonable selection of insulation materials not only helps to reduce the renovation cost, but also brings long-term economic benefits by reducing energy consumption. Based on the energy consumption simulation results, the thickness of the insulation layer is differentiated and designed, and the insulation is strengthened in high-energy consumption areas and time periods, which can effectively improve the insulation performance of the building and reduce energy consumption. The differentiated insulation layer design can significantly improve the energy-saving effect of the building without increasing too much cost, especially in cold or hot climates.

[0085] In the above embodiment, according to the selected insulation materials and the current status of the building, appropriate construction technology and process are selected, and detailed connection and sealing plans and construction processes are formulated to ensure the smooth progress of the construction process and the quality of the insulation layer. By setting quality inspection points, controlling key nodes and other measures, the supervision and management of the construction process are strengthened to ensure the quality and effect of the insulation layer renovation. In combination with the insulation layer renovation, the HVAC system is optimized for air conditioning regulation, such as adjusting the air volume distribution and setting reasonable operating parameters, which helps to further improve the energy-saving effect of the building and improve the comfort of the indoor environment. The lighting system is transformed by introducing an intelligent control system and using energy-saving lamps to reduce lighting energy consumption, while improving the intelligence level and flexibility of the lighting system.

[0086] Construction preparation and implementation also include the following steps:

[0087] Construction plan planning, breaking down the overall construction tasks into specific subtasks, including material preparation, base treatment, insulation layer construction, waterproof layer construction, and surface restoration. A time schedule is developed based on the subtasks, including the completion time of key nodes and the overall construction period estimate, and the required human and material resources are clearly defined;

[0088] Technical briefing: organize the construction team to hold a technical briefing meeting to introduce construction drawings, construction specifications, technical standards and special construction process requirements.

[0089] In the above embodiment, the overall construction task is broken down into specific subtasks so that the construction team can clearly understand the goals and requirements of each stage, which helps to improve work efficiency and quality, formulate a time schedule, clarify the completion time of key nodes and the estimate of the overall construction period, so that project managers can reasonably arrange human and material resources to avoid waste and idleness of resources. At the same time, it also helps to deal with possible delay risks and ensure that the project is completed on time. By refining construction tasks and formulating a time schedule, the construction team can advance the work in an orderly manner, reduce construction stagnation and delays caused by unclear tasks or insufficient resources, and thus improve construction efficiency.

[0090] Post-evaluation optimization also includes the following steps:

[0091] Design an energy consumption monitoring system based on the characteristics of the building and the requirements of the insulation system after renovation, determine the layout of monitoring points, data collection frequency and data transmission method, and install energy consumption monitoring equipment, including temperature sensors, electricity meters and water meters;

[0092] Debug the energy consumption monitoring system;

[0093] According to the set data collection frequency, the building's energy consumption data is regularly collected from the energy consumption monitoring system, and the energy consumption data after the renovation is compared and analyzed with the historical energy consumption records before the renovation. The energy saving rate and energy saving amount are calculated, and the overall effect of the insulation renovation is comprehensively evaluated based on the energy consumption data, building usage and environmental conditions.

[0094] In the above embodiment, according to the characteristics of the building and the requirements of the insulation system after the renovation, the designed energy consumption monitoring system can accurately reflect the energy consumption of the building. By reasonably arranging the monitoring points and setting appropriate data collection frequency and data transmission methods, the accuracy and real-time nature of the data are ensured. The energy consumption data of the building is regularly collected from the energy consumption monitoring system and compared with the historical energy consumption records before the renovation, which provides a solid data foundation for evaluating the effect of the insulation renovation.

[0095] In the above embodiment, the overall effect of the insulation renovation is comprehensively evaluated in combination with energy consumption data, building usage and environmental conditions, which not only takes into account the reduction in energy consumption, but also takes into account the actual use of the building and the impact of environmental changes on energy consumption, making the evaluation result more scientific and comprehensive. By calculating the energy saving rate and energy saving amount, the energy saving effect brought about by the insulation renovation can be intuitively reflected, providing an important basis for evaluating the economy and feasibility of the renovation.

[0096] In the above embodiment, the feedback results in the later evaluation and optimization process can be used to guide future insulation renovation projects. By summarizing experiences and lessons, the design scheme and construction process can be continuously optimized to improve the effect and economic benefits of insulation renovation. The continuous operation of the energy consumption monitoring system can also realize dynamic monitoring of building energy consumption. Once abnormal energy consumption is found, timely measures can be taken to adjust and optimize, ensuring that the building maintains a low-energy consumption operation state for a long time.

[0097] At the same time, the post-evaluation optimization further includes the following steps:

[0098] Real-time monitoring of energy consumption data within each unit time period, wherein the value range of the unit time is 3h-6h;

[0099] Obtaining energy consumption characterization coefficients according to energy consumption data in each unit time period;

[0100] The energy consumption characterization coefficient is obtained by the following formula:

[0101]

[0102] Where E represents the energy consumption characterization coefficient; n represents the number of unit time periods; W i represents the energy consumption data corresponding to the i-th unit time period; W max Indicates the maximum value of energy consumption data in a single hour; W hmin Indicates the minimum value of energy consumption data in n unit time periods;

[0103] Comparing the energy consumption characterization coefficient with a preset coefficient threshold;

[0104] When the energy consumption characterization coefficient exceeds the preset coefficient threshold, the data collection frequency is adjusted using the energy consumption characterization coefficient, wherein the adjusted data collection frequency is obtained by the following formula:

[0105]

[0106] Where F represents the adjusted data collection frequency; F 0 represents the data collection frequency before adjustment; E represents the energy consumption characterization coefficient; E y represents the preset coefficient threshold; e represents a constant, and its value is 2.71.

[0107] The technical effect of the above technical solution is: by real-time monitoring of energy consumption data within each unit time period (3 hours to 6 hours), the system can capture short-term changes in energy consumption, which is crucial for timely detection of energy consumption anomalies or optimization of energy use. The flexibility of the unit time period allows adjustments based on specific application scenarios or needs, increasing the applicability and practicality of the system. The energy consumption characterization coefficient E is a comprehensive indicator that takes into account the energy consumption data within the unit time period, the maximum energy consumption in a single hour, and the minimum energy consumption during the entire monitoring period. This design enables the coefficient to more comprehensively reflect the fluctuations and overall characteristics of energy consumption. Through the energy consumption characterization coefficient, the system can quantify the degree of change in energy consumption and provide a basis for subsequent decision-making.

[0108] When the energy consumption characterization coefficient exceeds the preset coefficient threshold, the system can automatically adjust the data collection frequency. This intelligent adjustment mechanism can optimize data collection according to the actual changes in energy consumption, thereby improving the validity and real-time nature of the data. The adjusted data collection frequency is inversely proportional to the energy consumption characterization coefficient, which means that when energy consumption changes greatly, the data collection frequency will increase to capture more detailed information; and when energy consumption is relatively stable, the data collection frequency will decrease to reduce unnecessary resource consumption. Through real-time monitoring and intelligent adjustment of data collection frequency, the system can understand energy consumption more accurately and provide strong data support for energy management. This helps to discover energy consumption problems in a timely manner and formulate targeted energy-saving measures, thereby improving energy efficiency and reducing operating costs. The constant e is 2.71 (close to the base of the natural logarithm e). This choice may be based on mathematical optimization considerations, making the adjusted data collection frequency calculation more reasonable and accurate. This mathematical refinement helps to improve the performance and stability of the system.

[0109] In summary, this technical solution achieves precise management and optimization of energy consumption through real-time monitoring of energy consumption data, introduction of energy consumption characterization coefficients, intelligent adjustment of data collection frequency and other measures, thereby improving energy utilization efficiency and the level of intelligence of energy management.

[0110] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An energy consumption optimization method for internal and external insulation of existing building exterior walls based on a building model, characterized in that: The following steps are involved: Current situation survey modeling: conduct detailed survey and current situation assessment of existing buildings, record the current situation of buildings, including the exterior wall structure, material status, insulation layer status and thermal insulation performance, measure and record basic information of buildings through on-site survey, including building area, height and orientation, create or import BIM models of existing buildings based on BIM, and collect building energy consumption data, including historical energy consumption records; Energy consumption simulation analysis: import the BIM model into the energy consumption simulation software, set environmental parameters, building usage, and different insulation materials, thicknesses, and construction process parameters, conduct multi-scenario building energy consumption simulation, analyze the energy consumption performance under different insulation schemes, find out the parts and time periods with high energy consumption, and identify areas with energy-saving potential; Optimize the design of the scheme, select the external wall insulation materials based on the results of the energy consumption simulation analysis, determine the construction technology scheme for internal and external insulation, combine the simulation data with the material evaluation, design the optimal internal and external insulation scheme, including the thickness of the insulation layer and the layout parameters, and integrate and optimize the insulation layer design with other building systems, including the HVAC and lighting systems, through visual collaborative optimization through BIM; Implementation of construction preparation, formulation of construction plan, including material procurement, staffing, time planning, technical briefing and safety training before construction; In the later stage, evaluation and optimization are carried out, an energy consumption monitoring system is installed, data is collected regularly, comparative analysis is carried out with that before the renovation, the insulation effect and energy-saving results are evaluated, and the insulation system is continuously optimized and improved based on the monitoring results.

2. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 1, characterized in that: The current situation investigation modeling specifically further includes the following steps: Detailed investigation and status assessment, on-site inspection of the exterior wall structure of existing buildings, recording the type of materials, degree of damage and status of the insulation layer, testing the thermal insulation performance of the exterior wall through thermal resistance test and heat transfer coefficient measurement, and obtaining building area, height and orientation information based on architectural drawings and maintenance records; BIM model creation: If there is a BIM model of an existing building, check the model integrity and confirm whether the model meets the energy consumption simulation requirements. If there is no BIM model of the existing building or the BIM model of the existing building does not meet the energy consumption simulation requirements, create a BIM three-dimensional model of the existing building in the BIM software based on the on-site investigation results and collected data, and set adjustable parameters for the walls and insulation elements in the model.

3. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 2, characterized in that: The current situation investigation modeling specifically further includes the following steps: Building energy consumption data collection: obtain historical energy consumption data from building management systems, electricity meters, heat meters, and metering equipment, organize the collected energy consumption data, classify the energy consumption data by season, time period, and purpose, and import the organized energy consumption data into energy consumption simulation software; Preparation of current status assessment report, summarizing the data structure of field investigation, model creation and energy consumption data collection, and preparing the current status assessment report of the exterior wall insulation of existing buildings. The assessment report includes current status analysis, problem identification and renovation suggestions.

4. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 1, characterized in that: The energy consumption simulation analysis specifically further includes the following steps: Model parameter setting: according to the climate data of the geographical location of the existing building, input the temperature, humidity, wind speed, and solar radiation parameters throughout the year and in key seasons, set the building's usage time mode, personnel density, and equipment usage, and preset insulation material options for the exterior wall in the model. The insulation material options include thermal conductivity, density, and thickness range parameters for each material; Multi-scenario energy consumption simulation sets a baseline scenario without an insulation layer to simulate the annual energy consumption under this state. Different simulation schemes of internal insulation only, external insulation only, and internal and external combined insulation are simulated respectively. At the same time, each simulation scheme is further subdivided into sub-scenarios with different insulation materials and insulation thicknesses for simulation, and a sensitivity analysis is performed on the variables in each sub-scenario. Dynamic simulation is used to analyze the energy consumption impact of external environmental changes in different time periods to obtain simulated energy consumption data.

5. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 4, characterized in that: The energy consumption simulation analysis specifically further includes the following steps: Energy consumption analysis: collect simulated energy consumption data of all simulation scenarios, conduct comparative analysis, and identify the time periods and locations with the highest energy consumption; Identify energy saving potential, by comparing the energy consumption performance of different insulation solutions, identify the areas with the greatest energy saving potential and the transformation solutions; Evaluate the expected energy-saving effect after the transformation and generate a detailed energy consumption simulation analysis report, which includes an energy consumption comparison chart of each plan, energy-saving rate calculation, and economic benefit analysis.

6. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 1, characterized in that: The optimization scheme design specifically includes the following steps: Insulation material selection: The insulation material to be selected is determined based on the requirements for the performance of different insulation materials in the energy consumption simulation analysis and the actual project conditions, including regional climate conditions, building characteristics, and budget constraints; Insulation layer layout design: Based on the energy consumption simulation results, the thickness range of the insulation layer is preliminarily determined. According to the high energy consumption locations and time periods identified in the energy consumption simulation, the thickness of the insulation layer is differentiated and the thickness of the insulation layer is increased in key areas. Formulate construction technology plan, select construction technology and process according to the selected insulation materials and the current status of the building, formulate the connection and sealing plan between the insulation layer and the base layer, waterproof layer and finishing layer, and plan the construction process, which includes the construction sequence, key node control and quality inspection point setting; System collaborative optimization, combined with insulation layer transformation, air conditioning optimization for HVAC system, and lighting energy-saving transformation for lighting system; Among them, the air conditioning adjustment optimization includes adjusting the air volume distribution and setting the operating parameters, and the lighting energy-saving transformation includes introducing an intelligent control system and using energy-saving lamps.

7. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 1, characterized in that: The construction preparation implementation specifically includes the following steps: Construction plan planning, breaking down the overall construction tasks into specific subtasks, including material preparation, base treatment, insulation layer construction, waterproof layer construction, and surface restoration. A time schedule is developed based on the subtasks, including the completion time of key nodes and the overall construction period estimate, and the required human and material resources are clearly defined; Technical briefing: organize the construction team to hold a technical briefing meeting to introduce construction drawings, construction specifications, technical standards and special construction process requirements.

8. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 1, characterized in that: The post-evaluation optimization specifically further includes the following steps: Design an energy consumption monitoring system based on the characteristics of the building and the requirements of the insulation system after renovation, determine the layout of monitoring points, data collection frequency and data transmission method, and install energy consumption monitoring equipment, including temperature sensors, electricity meters and water meters; Debug the energy consumption monitoring system.

9. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 8, characterized in that: The post-evaluation optimization specifically further includes the following steps: According to the set data collection frequency, the building's energy consumption data is regularly collected from the energy consumption monitoring system, and the energy consumption data after the renovation is compared and analyzed with the historical energy consumption records before the renovation. The energy saving rate and energy saving amount are calculated, and the overall effect of the insulation renovation is comprehensively evaluated based on the energy consumption data, building usage and environmental conditions.

10. The method for optimizing the energy consumption of internal and external thermal insulation of existing building exterior walls based on a building model as claimed in claim 9, characterized in that: The post-evaluation optimization specifically further includes the following steps: Real-time monitoring of energy consumption data within each unit time period, wherein the value range of the unit time is 3h-6h; Obtaining energy consumption characterization coefficients according to energy consumption data in each unit time period; The energy consumption characterization coefficient is obtained by the following formula: Where E represents the energy consumption characterization coefficient; n represents the number of unit time periods; W i represents the energy consumption data corresponding to the i-th unit time period; W max Indicates the maximum value of energy consumption data in a single hour; W hmin Indicates the minimum value of energy consumption data in n unit time periods; Comparing the energy consumption characterization coefficient with a preset coefficient threshold; When the energy consumption characterization coefficient exceeds the preset coefficient threshold, the data collection frequency is adjusted using the energy consumption characterization coefficient, wherein the adjusted data collection frequency is obtained by the following formula: Where F represents the data collection frequency after adjustment; F0 represents the data collection frequency before adjustment; E represents the energy consumption characterization coefficient; E y represents the preset coefficient threshold; e represents a constant, and its value is 2.71.

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