Building space energy-saving design method and system, terminal and medium
By establishing a building energy consumption prediction model, predicting the energy consumption of the building in different environments, and adjusting the design plan according to the prediction results, the problem of inaccurate energy consumption prediction in the existing technology is solved, and precise energy consumption control in the architectural design stage is achieved and achieve energy saving goals.
Patent Information
- Application Number
- CN202411453532.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-17
- Publication Date
- 2025-02-11
AI Technical Summary
The existing building energy-saving design methods are not accurate enough to predict the energy consumption under complex conditions, resulting in a lack of precise guidance in the architectural design stage and it is difficult to achieve the expected energy consumption control.
By obtaining architectural design plans and basic parameters, an energy consumption prediction model is established, a variety of energy consumption of the building in different environments is predicted, and the design plan is adjusted according to the prediction results until the preset energy consumption standards are met.
Accurate energy consumption assessment in the architectural design stage is achieved, ensuring that energy-saving goals can be achieved in actual construction and operation, improving the overall energy efficiency of the building, reducing energy consumption, and providing a scientific basis for design decisions.
Smart Images
Figure CN119416315A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of energy-saving building technology, and in particular to a method, system, terminal and medium for energy-saving design of building space. Background Art
[0002] As an important part of modern building design and operation, building energy-saving design is of great significance for reducing energy consumption, reducing environmental pollution and improving building comfort. In order to achieve the goal of energy conservation and emission reduction, countries are currently actively promoting the development and application of building energy-saving technology, striving to save energy to the greatest extent while meeting user needs.
[0003] With the development of society, energy consumption issues have received increasing attention, especially in densely populated office buildings. In order to achieve the goal of energy conservation and emission reduction, optimizing the design of office buildings has become the key. However, in actual operation, how to achieve this goal efficiently remains a challenge.
[0004] Existing building energy-saving designs usually only consider factors such as the impact of seasonal changes on energy consumption. Although these traditional methods can quickly draw conclusions, in practical applications, they are not accurate enough for predicting energy consumption under more complex conditions.
[0005] The above conventional processing methods result in a lack of accuracy in the final data, which in turn cannot effectively provide accurate guidance for the building design stage, making it difficult for the actual energy consumption control of office buildings to achieve the expected ideal state. Summary of the invention
[0006] In the first aspect, in order to overcome the above-mentioned technical problems, the present application provides a building space energy-saving design method, system, terminal and medium.
[0007] This application provides a building space energy-saving design method, which adopts the following technical solutions: A building space energy-saving design method, comprising: Obtaining a building design plan and basic parameters of the building to be designed, wherein the basic parameters of the building to be designed include geographical location information of the building, building orientation information, building space information, indoor and outdoor temperature difference information, and light intensity information; Establish an energy consumption prediction model for the building to be designed based on the architectural design plan and basic parameters of the building to be designed; Based on the energy consumption prediction model of the building to be designed, the building energy consumption under the building design scheme is predicted and the prediction results are obtained; Execute energy consumption determination: compare the prediction results with the preset energy consumption standards; If the prediction results do not meet the preset energy consumption standards, adjust the building design plan; If the prediction results meet the preset energy consumption standards, an energy-saving design plan is generated.
[0008] By adopting the above technical solutions, before the building is designed and used, by establishing an energy consumption prediction model, the energy consumption level of the building in the design stage can be accurately evaluated, ensuring that the energy-saving goals can be achieved in actual construction and operation, and the design plan can be adjusted in time according to the energy consumption prediction results, which will help improve the overall energy efficiency of the building, reduce energy consumption, emphasize data collection and analysis, and provide a scientific basis for building design decisions, thereby improving the reliability and effectiveness of building energy-saving design.
[0009] Preferably, the step of predicting the building energy consumption under the building design scheme based on the energy consumption prediction model of the building to be designed and obtaining the prediction result includes: Input relevant parameters in the building design scheme into the established energy consumption prediction model of the building to be designed; Obtain the preset environment based on the basic parameters of the building to be designed; Use the model to calculate the building's various energy consumption under preset conditions, including heating energy consumption, cooling energy consumption, lighting energy consumption and equipment energy consumption.
[0010] By adopting the above technical solutions, by presetting environmental conditions (such as temperature, humidity, light intensity, etc.), the energy consumption forecast can more accurately reflect the energy consumption performance under actual use, and the relevant parameters of the building design scheme (such as building materials, window types, building orientation, etc.) are input into the model to ensure that the prediction results are based on actual design rather than assumptions, thereby improving the prediction accuracy of the model. By systematically inputting and analyzing the relevant parameters of the building design scheme, a comprehensive and accurate energy consumption assessment can be obtained using the energy consumption prediction model of the building to be designed. This method not only helps to optimize building design and improve building energy efficiency, but also creates a comfortable use environment for users, while bringing both economic and environmental benefits, and is an important part of modern building design.
[0011] Preferably, the method further comprises: Obtaining a renovation design plan, basic parameters of an existing building, and additional parameters of an existing building, wherein the additional parameters of the existing building include hardware of the building, personnel configuration data, and building usage time; Establish an energy consumption prediction model for existing buildings based on the renovation design plan, basic parameters of existing buildings, and additional parameters of existing buildings; Predicting building energy consumption based on the existing building energy consumption prediction model; Adjust the design parameters of the renovation design plan according to the prediction results until the preset energy consumption standards are met and a finished renovation design plan is generated.
[0012] By adopting the above technical solution, in addition to using the system in buildings before design and use, it can also be used in existing buildings for energy-saving renovation. In addition, by obtaining the basic parameters and additional parameters of existing buildings (such as hardware, staffing, and usage time), it is possible to design and transform according to the actual situation of specific buildings to ensure the effectiveness and feasibility of the solution.
[0013] Preferably, the method further comprises: Obtain historical usage data of the air conditioning, lighting, and power supply systems of existing target buildings; Obtain the energy consumption model of the air conditioning and heating systems of the existing target building based on the historical usage data and the corresponding period; The energy consumption model of the air conditioning and heating system of the existing target building is superimposed on the existing building energy consumption model to obtain an updated existing building energy consumption model.
[0014] By adopting the above technical solution and taking into account the historical data of air conditioning, lighting and power supply systems, the comprehensive energy consumption of the building can be comprehensively evaluated and the main sources of energy consumption can be identified. The updated energy consumption model can help identify the energy-saving potential of each system in the building, so as to formulate more effective energy-saving measures. By analyzing historical data, the accuracy of energy consumption prediction can be improved, so that the energy consumption model can better reflect the actual energy consumption of the building in different periods, so as to facilitate the updating of the building energy consumption model.
[0015] Preferably, if the prediction result meets the preset energy consumption standard, the step of generating an energy-saving design solution includes: Conduct accuracy analysis based on the forecast results; Determine whether the prediction results meet the preset standards; If it meets the requirements, an energy-saving design plan is generated.
[0016] By adopting the above technical solution, accuracy analysis is performed before generating an energy-saving design plan, which can ensure the credibility of the prediction results and reduce the uncertainty in the decision-making process. Through this setting, it can be ensured that in the process of generating energy-saving design plans, both the accuracy of the prediction results is emphasized and the design plan can effectively meet the energy consumption standards.
[0017] Preferably, if the prediction result does not meet the preset energy consumption standard, the step of adjusting the building design scheme includes: Perform problem analysis based on the prediction results to identify design issues that lead to substandard energy consumption; Adjust the architectural design accordingly based on the design issues.
[0018] By adopting the above technical solutions, through in-depth analysis of the prediction results, specific design issues that lead to energy consumption not meeting the standards, such as material selection, building layout, equipment efficiency, etc., can be identified, thus avoiding only solving superficial phenomena.
[0019] Preferably, the adjustment of the building design plan includes adjusting the building exterior design, adjusting the building interior design, adjusting the building space layout optimization, and increasing the use of renewable energy.
[0020] By adopting the above technical solutions, adjusting the building's exterior design, interior design, spatial layout and increasing the use of renewable energy, the building's energy efficiency, comfort and functionality can be significantly improved, and energy consumption and operating costs can be reduced.
[0021] Secondly, in order to improve the reliability and effectiveness of building energy-saving design, the present application provides a building space energy-saving design system, which adopts the following technical solutions: An energy-saving control system based on the spatial form of building complexes, comprising: A data acquisition module is used to acquire a building design scheme and basic parameters of the building to be designed, wherein the basic parameters of the building to be designed include geographical location information, building orientation information, building space information, indoor and outdoor temperature difference information, and light intensity information of the building; Establishing a model module for establishing an energy consumption prediction model of the building to be designed based on the building design scheme and basic parameters of the building to be designed; The result analysis module is used to predict the building energy consumption under the building design scheme based on the energy consumption prediction model of the building to be designed and obtain the prediction results; The energy consumption determination module is used to perform energy consumption determination: comparing the prediction result with the preset energy consumption standard; The design adjustment module is used to adjust the building design plan when the prediction results do not meet the preset energy consumption standards; The design scheme generation module is used to generate an energy-saving design scheme when the prediction results meet the preset energy consumption standards.
[0022] In a third aspect, the present application provides a smart terminal, which adopts the following technical solution: An intelligent terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the above-mentioned building space energy-saving design method.
[0023] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above-mentioned building space energy-saving design method.
[0024] In summary, the present application includes at least one of the following beneficial technical effects: 1. Before the building is designed and used, by establishing an energy consumption prediction model, the energy consumption level of the building in the design stage can be accurately evaluated to ensure that the energy-saving goals can be achieved in actual construction and operation, and the design plan can be adjusted in time according to the energy consumption prediction results, which is helpful to improve the overall energy efficiency of the building, reduce energy consumption, emphasize data collection and analysis, and provide a scientific basis for building design decisions, thereby improving the reliability and effectiveness of building energy-saving design; 2. By presetting environmental conditions (such as temperature, humidity, light intensity, etc.), energy consumption prediction can more accurately reflect the energy consumption performance under actual use. The relevant parameters of the building design scheme (such as building materials, window types, building orientation, etc.) are input into the model to ensure that the prediction results are based on actual design rather than assumptions, thereby improving the prediction accuracy of the model. By systematically inputting and analyzing the relevant parameters of the building design scheme, a comprehensive and accurate energy consumption assessment can be obtained using the energy consumption prediction model of the building to be designed. This method not only helps to optimize building design and improve building energy efficiency, but also creates a comfortable use environment for users, while bringing both economic and environmental benefits. It is an important part of modern building design; 3. In addition to using this system in buildings before they are designed and used, it can also be used in existing buildings for energy-saving renovations. In addition, by obtaining the basic parameters and additional parameters of existing buildings (such as hardware, staffing, and usage time), it is possible to design and renovate according to the actual conditions of specific buildings to ensure the effectiveness and feasibility of the plan. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 It is a method flow chart of a building space energy-saving design method according to an embodiment of the present application, mainly showing steps S100-S600.
[0026] Figure 2 This is a partial method flow chart of a building space energy-saving design method according to an embodiment of the present application, mainly showing steps S310-S330.
[0027] Figure 3 It is a partial method flow chart of a building space energy-saving design method according to an embodiment of the present application, mainly showing steps SA1-SA4.
[0028] Figure 4 It is a partial method flow chart of a building space energy-saving design method according to an embodiment of the present application, mainly showing steps SB1-SB3. DETAILED DESCRIPTION
[0029] The present application is further described in detail below in conjunction with all the accompanying drawings.
[0030] The present application embodiment discloses a building space energy-saving design method. Figure 1 , a building space energy-saving design method includes: Step S100: Acquire a building design scheme and basic parameters of the building to be designed, wherein the basic parameters of the building to be designed include geographical location information of the building, building orientation information, building space information, indoor and outdoor temperature difference information, and light intensity information.
[0031] Specifically, the building design plan and the basic parameters of the target building to be designed can be uploaded through the Internet or by users. The building design plan includes the building's floor plan, facade design, material selection, air conditioning and heating, and equipment and other hardware layouts. The basic parameters of the building to be designed include geographical location information: obtaining information such as the latitude, longitude, and altitude of the building's location, which will affect climate conditions, solar radiation, etc.; building orientation information: recording the orientation of the building (such as south, north, east, and west), which affects the absorption of light and heat; building space information: including building area, number of floors, room function distribution, etc., which affects the use of space and energy consumption; indoor and outdoor temperature difference information: obtaining indoor and outdoor temperature data in different seasons and time periods to analyze heat exchange; light intensity information: measuring natural light intensity in different time periods to help evaluate lighting needs.
[0032] Step S200: establishing an energy consumption prediction model for the building to be designed based on the building design scheme and basic parameters of the building to be designed.
[0033] Specifically, the method of establishing an energy consumption model is to select a modeling method: Common methods include: Regression analysis: Establish a linear or nonlinear model to analyze the factors affecting building energy consumption. Machine learning algorithms: Such as random forests, support vector machines (SVM), etc., use historical data for training to improve the accuracy of predictions. Model input: The above-obtained building design scheme and the basic parameters of the building to be designed are used as model input variables. Model training: Use existing building energy consumption data for training to generate an energy consumption prediction model.
[0034] Step S300: predicting the building energy consumption under the building design scheme based on the energy consumption prediction model of the building to be designed and obtaining the prediction result.
[0035] Reference Figure 2 The above specific steps include S310: Inputting relevant parameters in the building design scheme into the established energy consumption prediction model of the building to be designed; S320: Obtaining a preset environment according to basic parameters of the building to be designed; S330: Use the model to calculate various energy consumptions of the building under a preset environment, including heating energy consumption, cooling energy consumption, lighting energy consumption and equipment energy consumption.
[0036] Specifically, relevant parameters are extracted from the architectural design plan, such as: building physical characteristics: including the building area, number of floors, room layout, window area and type, wall and roof materials and their thermal conductivity coefficients; mechanical system: type, efficiency, working hours and configuration of heating, ventilation and air conditioning (HVAC) systems; lighting system: type, power, usage mode (such as daytime or nighttime), switching frequency of lighting equipment, etc., and then these parameters are sorted into a data format that can be input into the model, usually using CSV files, JSON format or directly input into the database. According to the geographical location, orientation and climate characteristics of the building, the corresponding environmental data are collected, including: meteorological data: temperature, humidity, wind speed, precipitation, solar radiation, etc. These data can be obtained through meteorological stations, public databases or dedicated meteorological services. Indoor environmental conditions: such as indoor target temperature, humidity, air flow speed, etc. Preset environmental modeling: Based on the data collected above, a preset environmental model is created. This may involve: Annual climate model: For example, a temperature change model in different seasons of the year is constructed through historical climate data. Building usage pattern: Set the frequency of building usage, personnel activity pattern (such as peak hours in office buildings), etc. Use building energy consumption simulation software such as EnergyPlus, eQUEST or TRNSYS, which can handle complex building physics and environmental factors and provide detailed energy consumption forecasts. Ensure that the model used can support the calculation of different types of energy consumption, and input the relevant parameters of the building design and the preset environmental conditions into the energy consumption prediction model. Ensure that all parameters meet the model requirements and calculate different types of energy consumption: Heating energy consumption: Calculate the energy required for heating by analyzing the heat loss of the building under winter heating conditions. Usually use the heat load calculation method. Cooling energy consumption: Analyze the heating load and cooling load of the building under summer cooling conditions and calculate the energy required for the cooling system. Lighting energy consumption: Calculate the required lighting energy based on the window area of the building, the external light intensity, and the type and usage time of the internal lighting equipment. Equipment energy consumption: Consider the power and usage time of the equipment in the building (such as computers, refrigerators, air conditioners, etc.) and calculate the energy consumption of the equipment. Run simulation: Use the model to run the simulation process to obtain the comprehensive energy consumption results of the building under the preset environmental conditions. This usually generates a detailed energy consumption report containing energy consumption data for each section.
[0037] Step S400: Execute energy consumption determination: compare the prediction result with the preset energy consumption standard; Specifically, according to national or local building energy efficiency standards, set a reasonable energy consumption threshold. Compare the prediction results: Compare the energy consumption prediction results output by the model with the preset energy consumption standards to determine the energy-saving effect of the design solution.
[0038] Step S500: If the prediction result does not meet the preset energy consumption standard, adjust the building design plan; The specific steps include: S510: Analyze the problem based on the prediction result to obtain the design problem that causes the energy consumption to fail to meet the standard; S520: Adjust the architectural design plan accordingly based on the design issues. Specifically, if the preset standards are not met, obtain the target standards for building energy consumption, obtain national or regional building energy consumption specifications, green building standards (such as LEED, BREEAM, etc.) or industry standards through the Internet, compare the actual predicted energy consumption results with the set standards, and identify the gaps. Focus: Whether the total energy consumption exceeds the standard. The difference between various energy consumption (heating, cooling, lighting, equipment) and the standard. By comparing, identify which areas or functions have energy consumption exceeding the standard, which may require focused analysis. Root cause analysis: Conduct an in-depth analysis of the high-energy consumption parts, using the following methods: Heat load analysis: Analyze heating and cooling energy consumption, identify heat loss or heat gain of exterior walls, windows and roofs. Lighting analysis: Evaluate lighting design, including light source type, switch control and the degree of utilization of natural lighting. Equipment load assessment: Analyze the power configuration of equipment in the building and its efficiency. Finally, optimize the design plan based on the design problem: According to the energy consumption forecast results, identify high-energy consumption areas and make design adjustments. For example: replace building materials (use high-efficiency insulation materials); adjust window position and size (increase natural light and reduce heat loss); optimize the design and configuration of HVAC (heating, ventilation, air conditioning) systems; improve lighting design: increase the use of natural light, use LED lamps, and introduce intelligent lighting control systems; equipment selection and management: select more energy-efficient equipment, implement equipment use management strategies (such as timed shutdown), etc. In summary, adjusting the building design plan includes adjusting the exterior design of the building, adjusting the internal hardware equipment system design of the building, adjusting the building space layout optimization, increasing the use of renewable energy, and other methods.
[0039] Step S600: If the prediction result meets the preset energy consumption standard, an energy-saving design plan is generated.
[0040] Specifically, record the design solutions that meet the preset energy consumption standards through the predicted results, and generate a complete energy-saving design solution, including: energy use analysis; green building certification recommendations (such as LEED, BREEAM, etc.); construction recommendations and implementation plans.
[0041] After the prediction results meet the preset energy consumption standards, the accuracy of the prediction results needs to be analyzed. The specific steps include: S610: performing accuracy analysis based on the prediction results; S620: Determine whether the prediction result meets the preset standard; S630: If the conditions are met, generate an energy-saving design plan.
[0042] Specifically, preset energy consumption standards are set according to industry norms, policy requirements or project goals. For example, the energy consumption ceiling of a certain building type is compared with the preset standard after accurate analysis to determine whether it complies with the following: Compliance judgment: If the predicted energy consumption is lower than or equal to the preset standard, it complies with the requirements. Item analysis: Analyze each type of energy consumption item by item to ensure that each item is within the preset range.
[0043] Reference Figure 3 , Figure 4 In addition to using this system in buildings before design, it can also be used in existing buildings to perform energy-saving renovations. The specific steps include: SA1: Obtaining a renovation design plan, basic parameters of an existing building, and additional parameters of an existing building, wherein the additional parameters of the existing building include the building's hardware, staffing data, and building usage time; SA2: Establish an energy consumption prediction model for existing buildings based on the renovation design plan, basic parameters of existing buildings, and additional parameters of existing buildings; SA3: Predicting building energy consumption based on the existing building energy consumption prediction model; SA4: Adjust the design parameters of the renovation design plan according to the prediction results until the preset energy consumption standards are met and a finished renovation design plan is generated.
[0044] Specifically, the basic parameters of existing buildings obtained through networking or uploading include: building structure data, including building area, number of floors, room layout, orientation, window area and type, etc.; material properties, insulation performance, thermal conductivity of walls, roofs, floors, etc., and additional parameters of existing buildings include building hardware, staffing data, and building usage time. According to the above steps, an existing building energy consumption prediction model is established, and then the latest building parameters, usage data, and renovation design schemes are input into the prediction model. The model is run: the model is executed to generate energy consumption prediction results of the building under different scenarios, and the prediction results are decomposed into different parts (such as heating, cooling, lighting, etc.), and high energy consumption areas are identified. The prediction results are compared with the preset energy consumption standards to determine whether they meet the requirements, and the design parameters that cause excessive energy consumption are identified (such as excessive HVAC load, unreasonable lighting design, etc.). Modify the renovation design plan according to the prediction results, for example: replace more efficient HVAC equipment. Improve the insulation performance of the building envelope. Optimize the lighting design and use LED lamps or intelligent control systems.
[0045] Also included: SB1: Obtain historical usage data of the air conditioning, lighting, and power supply systems of existing target buildings; SB2: Obtain the energy consumption model of the air conditioning and heating systems of the existing target buildings based on the historical usage data and the corresponding period; SB3: Superimpose the energy consumption model of the air conditioning and heating systems of the existing target building onto the existing building energy consumption model to obtain an updated existing building energy consumption model.
[0046] Specifically, collect data on air conditioning operation time, power (KW), and energy consumption (kWh) for different time periods (such as by hour, day, and month). Record the impact of different seasons and weather conditions (such as temperature and humidity) on air conditioning use. Collect the use time, power (such as the power of each lamp), and working mode (normally on, timed, etc.) of lighting equipment. Record changes in lighting demand in different time periods (such as day and night). Collect the overall power consumption (kWh) of the building and break it down into the power consumption of each system. Record power consumption data for key equipment (such as elevators, office equipment, etc.). Organize all collected data into a structured database or spreadsheet to ensure data readability and operability. Ensure that the timestamps of the data are consistent for subsequent analysis. Build a model: Select variables related to the energy consumption of air conditioning and heating systems, such as outdoor temperature, humidity, building usage, operating hours, etc.; use historical usage data to train the energy consumption model and adjust the model parameters to improve prediction accuracy; use a holdout method (such as cross-validation) to evaluate the accuracy of the model to ensure that the model can reliably predict energy consumption. Finally, superimpose the model: ensure that the energy consumption model of the existing building has been established and covers the basic energy consumption (such as envelope structure, lighting, equipment, etc.); add the results of the newly established air-conditioning and heating energy consumption model (energy consumption prediction value) to the energy consumption model of the existing building; the updated model will take into account the energy consumption contribution of air-conditioning and heating to form a comprehensive building energy consumption model.
[0047] The embodiment of the present application discloses a building space energy-saving design system.
[0048] A building space energy-saving design system, comprising: A data acquisition module is used to acquire a building design scheme and basic parameters of the building to be designed, wherein the basic parameters of the building to be designed include geographical location information, building orientation information, building space information, indoor and outdoor temperature difference information, and light intensity information of the building; Establishing a model module for establishing an energy consumption prediction model of the building to be designed based on the building design scheme and basic parameters of the building to be designed; The result analysis module is used to predict the building energy consumption under the building design scheme based on the energy consumption prediction model of the building to be designed and obtain the prediction results; The energy consumption determination module is used to perform energy consumption determination: comparing the prediction result with the preset energy consumption standard; The design adjustment module is used to adjust the building design plan when the prediction results do not meet the preset energy consumption standards; The design scheme generation module is used to generate an energy-saving design scheme when the prediction results meet the preset energy consumption standards.
[0049] The present application provides a smart terminal.
[0050] An intelligent terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the above-mentioned building space energy-saving design method.
[0051] The present application provides a computer-readable storage medium, A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above-mentioned building space energy-saving design method.
[0052] The implementation principle of the building space energy-saving design method, system, terminal and medium in the embodiment of the present application is: before the building design is used, by establishing an energy consumption prediction model, the energy consumption level of the building in the design stage can be accurately evaluated to ensure that the energy-saving goals can be achieved in actual construction and operation, and the design plan can be adjusted in time according to the energy consumption prediction results, which helps to improve the overall energy efficiency of the building, reduce energy consumption, emphasize data collection and analysis, and provide a scientific basis for building design decisions, thereby improving the reliability and effectiveness of building energy-saving design.
[0053] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.
Claims
1. A building space energy-saving design method, characterized by: include: Obtaining a building design plan and basic parameters of the building to be designed, wherein the basic parameters of the building to be designed include geographical location information of the building, building orientation information, building space information, indoor and outdoor temperature difference information, and light intensity information; Establish an energy consumption prediction model for the building to be designed based on the architectural design plan and basic parameters of the building to be designed; Based on the energy consumption prediction model of the building to be designed, the building energy consumption under the building design scheme is predicted and the prediction results are obtained; Execute energy consumption determination: compare the prediction results with the preset energy consumption standards; If the prediction results do not meet the preset energy consumption standards, adjust the building design plan; If the prediction results meet the preset energy consumption standards, an energy-saving design plan is generated.
2. A building space energy-saving design method according to claim 1, characterized in that: The step of predicting the building energy consumption under the building design scheme based on the energy consumption prediction model of the building to be designed and obtaining the prediction result includes: Input relevant parameters in the building design scheme into the established energy consumption prediction model of the building to be designed; Obtain the preset environment based on the basic parameters of the building to be designed; Use the model to calculate the building's various energy consumption under preset conditions, including heating energy consumption, cooling energy consumption, lighting energy consumption and equipment energy consumption.
3. The building space energy-saving design method according to claim 1, characterized in that: The method further comprises: Obtaining a renovation design plan, basic parameters of an existing building, and additional parameters of an existing building, wherein the additional parameters of the existing building include hardware of the building, personnel configuration data, and building usage time; Establish an energy consumption prediction model for existing buildings based on the renovation design plan, basic parameters of existing buildings, and additional parameters of existing buildings; Predicting building energy consumption based on the existing building energy consumption prediction model; Adjust the design parameters of the renovation design plan according to the prediction results until the preset energy consumption standards are met and a finished renovation design plan is generated.
4. A building space energy-saving design method according to claim 3, characterized in that: The method further comprises: Obtain historical usage data of the air conditioning, lighting, and power supply systems of existing target buildings; Obtain the energy consumption model of the air conditioning and heating systems of the existing target building based on the historical usage data and the corresponding period; The energy consumption model of the air conditioning and heating system of the existing target building is superimposed on the existing building energy consumption model to obtain an updated existing building energy consumption model.
5. The building space energy-saving design method according to claim 1, characterized in that: If the prediction result meets the preset energy consumption standard, the step of generating an energy-saving design solution includes: Conduct accuracy analysis based on the forecast results; Determine whether the prediction results meet the preset standards; If it meets the requirements, an energy-saving design plan is generated.
6. The building space energy-saving design method according to claim 1, characterized in that: If the prediction result does not meet the preset energy consumption standard, the step of adjusting the building design plan includes: Perform problem analysis based on the prediction results to identify design issues that lead to substandard energy consumption; Adjust the architectural design accordingly based on the design issues.
7. The building space energy-saving design method according to claim 1, characterized in that: The adjustment of the building design plan includes adjusting the building's exterior design, adjusting the building's interior design, optimizing the building's space layout, and increasing the use of renewable energy.
8. A building space energy-saving design system, characterized by: include, A data acquisition module is used to acquire a building design scheme and basic parameters of the building to be designed, wherein the basic parameters of the building to be designed include geographical location information, building orientation information, building space information, indoor and outdoor temperature difference information, and light intensity information of the building; Establishing a model module for establishing an energy consumption prediction model of the building to be designed based on the building design scheme and basic parameters of the building to be designed; The result analysis module is used to predict the building energy consumption under the building design scheme based on the energy consumption prediction model of the building to be designed and obtain the prediction results; The energy consumption determination module is used to perform energy consumption determination: comparing the prediction result with the preset energy consumption standard; The design adjustment module is used to adjust the building design plan when the prediction results do not meet the preset energy consumption standards; The design scheme generation module is used to generate an energy-saving design scheme when the prediction results meet the preset energy consumption standards.
9. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes the building space energy-saving design method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer program is stored which can be loaded by a processor and execute the quasi-intelligent audit and compliance checking method according to any one of claims 1 to 7.