An eco-friendly building design method based on ecological integration concept

Abstract

The application discloses an environment-friendly building design method based on an ecological fusion concept, and comprises the following steps: S1, climate data collection and analysis; S2, resource assessment; S3, building form generation; S4, energy simulation; S5, passive technology; S6, active technology; S7, material selection; and S8, collaborative iteration process. The environment-friendly building design method is based on the ecological fusion concept, and through climate zoning algorithms, software simulation and parameterized design, etc., the method realizes collaborative iteration of modules such as climate identification, resource assessment, building layout optimization, energy consumption simulation, passive technology application, energy management, material selection and scheme integration, and forms a scheme that takes into account ecology, economy and function.

Description

Technical Field

[0001] This invention relates to the field of architectural design methods, and in particular to a high-precision flexible stamping forming equipment for ultra-thin channel chassis structural components. Background Technology

[0002] In traditional building design, climate adaptability, energy efficiency and environmental impact control are often treated as independent aspects, lacking a holistic solution based on regional characteristics. This results in large fluctuations in energy consumption and extensive resource utilization during the building operation phase, and makes it difficult to balance initial construction costs with long-term ecological benefits.

[0003] Existing technologies have several limitations: climate characteristic analysis relies heavily on empirical parameters or single data sources, making it difficult to accurately match regional microclimate differences; renewable energy system design often uses generalized configuration models, failing to fully consider the dynamic relationship between geographical conditions and energy demand, easily leading to equipment redundancy or insufficient performance; building form optimization is mostly adjusted through trial and error, lacking quantitative simulation support, resulting in natural ventilation and lighting effects relying on later modifications; energy management systems are mainly based on unidirectional monitoring, unable to achieve intelligent linkage and adjustment between supply and demand; material selection focuses on single environmental indicators, ignoring the carbon footprint of transportation links and the ecological attributes throughout the entire life cycle; and the lack of data interaction mechanisms between various technical modules leads to low efficiency in design iteration, making it difficult to ensure the comprehensive optimization of ecological, economic, and functional benefits. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this application provides an environmentally friendly building design method based on the concept of ecological integration. This method addresses the following issues: climate characteristic analysis often relies on empirical parameters or single data sources, making it difficult to accurately match regional microclimate differences; renewable energy system design frequently uses generalized configuration models, failing to fully consider the dynamic relationship between geographical conditions and energy demand, easily leading to equipment redundancy or insufficient performance; building form optimization often relies on trial and error adjustments, lacking quantitative simulation support, resulting in dependence on later modifications for natural ventilation and lighting effects; energy management systems are primarily based on unidirectional monitoring, unable to achieve intelligent linkage and adjustment between supply and demand; material selection focuses on single environmental indicators, ignoring the carbon footprint of transportation links and the full-cycle ecological attributes; and the lack of data interaction mechanisms between various technical modules leads to low efficiency in design iteration, making it difficult to ensure the comprehensive optimization of ecological, economic, and functional benefits.

[0005] To achieve the above objectives, this application provides the following technical solution: an environmentally friendly building design method based on the concept of ecological integration, comprising: S1. Climate Data Acquisition and Analysis Steps: A distributed sensor network is used to collect climate parameters such as temperature, humidity, and solar radiation in real time. Combined with historical meteorological data modeling, a climate zoning algorithm is used to divide the region into five types: severe cold, cold, hot summer and cold winter, hot summer and winter, and temperate. The distributed sensor network, through its multi-node layout, enables comprehensive and accurate monitoring of climate parameters within the region, ensuring data real-time performance and accuracy. Modeling with historical meteorological data spanning at least 20 years allows for effective analysis of long-term climate trends. Furthermore, the climate zoning algorithm based on temperature, humidity, and solar radiation characteristics scientifically classifies the region, providing precise climate-based information for subsequent building design. This allows buildings to better adapt to the climate characteristics of different regions, improving building comfort and energy efficiency. S2. Resource assessment steps: PVsyst software was used to simulate solar power generation potential, while WAsP software was used to analyze wind energy resources. A GIS system was combined to assess groundwater level, soil permeability, and bearing capacity, determining the renewable energy capacity threshold and the optimal catchment area for the rainwater harvesting system. When simulating solar power generation potential using PVsyst, a 3D simulation model was built using local solar radiation data, enabling a more realistic simulation of solar power generation under different terrains and building layouts. When analyzing wind energy resources using WAsP, the influence of topography on wind speed was considered, allowing for accurate assessment of regional wind energy resources. The GIS system's assessment of groundwater level, soil permeability, and bearing capacity provided data support for rainwater harvesting systems and building foundation design. The final determined renewable energy capacity threshold and optimal rainwater harvesting area maximize resource utilization, reduce building dependence on traditional energy sources, and improve resource efficiency. S3, Building Form Generation Steps: Based on climate data, the Grasshopper parametric algorithm optimizes building orientation, controls form factor and spatial layout, and uses CFD software to simulate natural ventilation paths and design air deflector angles. When optimizing building orientation, the Grasshopper parametric algorithm comprehensively considers the solar altitude angle and prevailing wind direction, enabling the building to obtain sufficient sunlight while utilizing natural wind to improve indoor ventilation. The CFD simulation of natural ventilation paths visually presents the indoor airflow organization, ensuring it meets human comfort standards. The designed air deflector angles are determined based on the local prevailing wind frequency distribution, effectively guiding natural wind into the building, improving natural ventilation efficiency, significantly reducing mechanical ventilation energy consumption, and thus achieving energy-efficient building operation. S4. Energy Simulation Steps: EnergyPlus software was used to conduct dynamic energy consumption simulations of photovoltaic and energy storage systems. Combined with the LCC (Life Cycle Cost) model, battery capacity configuration was optimized to balance initial investment and operational returns. EnergyPlus's dynamic energy consumption simulation covers load variations across different seasons throughout the year, comprehensively simulating energy consumption under various climatic conditions. The LCC model incorporates the phased costs of initial investment, operation and maintenance, and equipment upgrades. Through comprehensive analysis of these costs, combined with the dynamic energy consumption simulation results, battery capacity configuration was optimized to meet the building's electricity needs while achieving a balance between initial investment and operational returns, thus improving the economic efficiency and sustainability of the energy system. S5. Passive technology steps: Composite building envelopes are configured for different climate zones, integrating light pipe natural lighting systems. The material composition and construction of the composite building envelope are adjusted according to regional climate differences. High-insulation materials are used in frigid regions, while a balance between thermal insulation and heat preservation is emphasized in hot-summer and cold-winter regions. This effectively reduces heat exchange between the building and the outside environment, lowering energy consumption for air conditioning and heating. The arrangement of the light pipe natural lighting system meets the requirements for uniform illuminance within the building's interior spaces, introducing natural light into deeper interior spaces, reducing the use of artificial lighting, saving energy, and improving the quality of the indoor lighting environment. S6. Active technical steps: A distributed photovoltaic (PV) microgrid is constructed, equipped with smart inverters, and a Building Management System (BMS) is used to achieve real-time monitoring of energy consumption data and fuzzy PID control. The installed capacity and energy storage system configuration of the distributed PV microgrid are determined based on the building's electricity load characteristics, ensuring that PV power generation matches the building's electricity demand and improving energy self-sufficiency. The BMS system achieves intelligent control of the energy system through a fuzzy PID control algorithm, monitors energy consumption data in real time, dynamically adjusts the operating status of the PV microgrid according to the building's electricity consumption, optimizes energy allocation, improves energy utilization efficiency, and reduces dependence on the main power grid. S7. Material Selection Steps: A localized eco-friendly materials library was established, utilizing concrete and bamboo profiles. This library adheres to the principle of minimizing material transportation distances, reducing energy consumption and carbon emissions during transport. The selected concrete and bamboo profiles meet national environmental protection building material standards and mechanical performance requirements. Concrete can be produced using locally sourced raw materials, and bamboo profiles are a renewable resource. The use of both ensures structural safety while embodying eco-friendly principles and reducing the environmental impact of building material production. S8. Collaborative Iteration Process: The ecological assessment module collects data and inputs it into the design optimization module to generate a preliminary scheme. The technology integration module selects suitable technologies and materials based on the preliminary scheme. These modules collaborate and iterate through data interaction, ultimately outputting a complete design scheme through BIM integration and verification. The generation of the preliminary scheme requires at least three rounds of design optimization iterations, continuously refining the design scheme and improving its rationality and feasibility. The technology integration module selects suitable technologies based on a comprehensive evaluation model of ecological and economic benefits, ensuring that the selected technologies achieve both good ecological effects and economic feasibility. BIM integration and verification includes professional collaborative reviews of structural safety, energy-saving performance, and waterproofing and moisture-proofing. Through full life-cycle performance simulation verification, the performance of the design scheme in all aspects can be comprehensively checked, ensuring that the final output design scheme achieves optimal performance in terms of structure, function, and environmental benefits.

[0006] Preferably, in step S3, the building form generation step, the angle of the designed air guide plate is determined based on the local prevailing wind direction frequency distribution to enhance the building's natural ventilation efficiency and reduce mechanical ventilation energy consumption. By accurately determining the air guide plate angle according to the local prevailing wind direction frequency distribution, the air guide plate can guide natural wind into the building as efficiently as possible under different wind direction conditions, forming a good indoor ventilation circulation. This not only significantly improves the natural ventilation effect and reduces indoor air quality problems caused by insufficient ventilation, but also greatly reduces the operating frequency and duration of mechanical ventilation equipment, thereby reducing the building's energy consumption costs and demonstrating the advantages of eco-friendly building design in ventilation and energy saving.

[0007] Preferably, in step S1, climate data acquisition and analysis, the distributed sensor network collects at least eight types of climate parameters in real time, the historical meteorological data modeling spans at least 20 years, and the climate zoning algorithm classifies regions based on temperature, humidity, and sunshine characteristics. The rich variety of climate parameters collected covers more climate factors affecting building design, such as wind speed, wind direction, and air pressure, making the collected data more comprehensive. The historical meteorological data modeling spanning more than 20 years can capture the long-term variation patterns and periodic characteristics of climate. The climate zoning algorithm based on temperature, humidity, and sunshine characteristics, combined with multi-dimensional data for region classification, improves the scientific rigor and accuracy of climate zoning, providing more reliable climate-based data for subsequent building design and ensuring the adaptability and performance of buildings under different climatic conditions.

[0008] Preferably, in step S2, the resource assessment, when simulating solar power generation potential using PVsyst software, a three-dimensional simulation model is established by combining local solar radiation data. When analyzing wind energy resources using WAsP software, the influence coefficient of topography on wind speed is considered. The PVsyst software, by combining local solar radiation data to establish a three-dimensional simulation model, can simulate the impact of buildings and the surrounding environment on solar energy reception and utilization, more accurately assessing solar power generation potential and providing precise guidance for the design and layout of photovoltaic systems. The WAsP software, by considering the influence coefficient of topography on wind speed, can realistically reflect wind energy resource conditions under different terrain conditions, avoiding wind energy assessment biases caused by terrain factors, ensuring the rational design and efficient operation of wind energy utilization systems, and improving the accuracy and practicality of renewable energy assessment.

[0009] Preferably, in step S3, the building form generation step, when the Grasshopper parametric algorithm optimizes the building orientation, it comprehensively considers the solar altitude angle and the prevailing wind direction, and uses CFD software to simulate natural ventilation paths to ensure that the indoor airflow organization meets human comfort standards. The Grasshopper parametric algorithm, by comprehensively considering the solar altitude angle and the prevailing wind direction to optimize the building orientation, can ensure that the building receives suitable sunlight in different seasons, avoiding excessive exposure or insufficient light, while utilizing natural wind to regulate indoor temperature and air quality. The CFD software simulates natural ventilation paths, and through precise analysis of airflow speed, direction, and distribution, ensures that the indoor airflow organization meets human thermal comfort and air quality requirements, improving the comfort and health of the building's internal environment, and achieving an organic combination of building form design and human needs.

[0010] Preferably, in step S4, the energy simulation step, the dynamic energy consumption simulation of EnergyPlus software covers the load changes of the building in different seasons throughout the year, and the LCC life cycle cost model includes the stage costs of initial investment, operation and maintenance, and equipment upgrades. The dynamic energy consumption simulation of EnergyPlus software in different seasons throughout the year can simulate the differences in energy consumption of buildings under extreme weather and normal climate conditions, providing comprehensive data support for energy system design. The LCC life cycle cost model comprehensively considers the costs of each stage, helping designers to weigh the economics of different energy system schemes during the design phase, select the optimal photovoltaic and energy storage system configuration, avoid affecting the sustainable development of the project due to excessive initial investment or later operating costs, and maximize the cost-effectiveness of the energy system.

[0011] Preferably, in step S5, the passive technology step, the material combination and construction form of the composite envelope are adjusted according to climatic regional differences, and the arrangement of the light pipe natural lighting system meets the requirements for uniform illuminance in the building's interior space. Adjusting the material combination and construction form of the composite envelope according to climatic regional differences can specifically solve building thermal problems under different climatic conditions, such as heat preservation in frigid regions and heat insulation in hot regions, effectively reducing the building's heating and cooling energy consumption. The reasonable arrangement of the light pipe natural lighting system to meet the requirements for uniform illuminance can evenly distribute natural light into the building's interior space, reducing localized overly bright or dark areas, improving the utilization efficiency of natural light, and creating a comfortable and uniform indoor lighting environment, reducing the use of artificial lighting, and achieving the dual goals of energy saving and comfort.

[0012] Preferably, in step S6, the active technology step, the installed capacity of the distributed photovoltaic microgrid and the configuration of the energy storage system are determined based on the building's electricity load characteristics. The BMS system achieves intelligent control of the energy system through a fuzzy PID control algorithm. Determining the installed capacity of the distributed photovoltaic microgrid and the configuration of the energy storage system based on the building's electricity load characteristics enables precise matching between photovoltaic power generation and building electricity demand, improving energy self-sufficiency. The fuzzy PID control algorithm of the BMS system can quickly and accurately adjust the operating parameters of the energy system, such as the output power of the photovoltaic inverter and the charging and discharging state of the energy storage battery, based on real-time energy consumption data and energy supply conditions. This achieves dynamic optimization of energy allocation, improves energy utilization efficiency, reduces dependence on the external power grid, and enhances the stability and reliability of the building's energy system.

[0013] Preferably, in step S7, material selection, the establishment of a localized eco-materials database follows the principle of minimizing material transportation distance, and the selected concrete and bamboo profiles must meet national environmental protection building material standards and mechanical performance requirements. Establishing a localized eco-materials database based on the principle of minimizing material transportation distance can significantly reduce energy consumption and carbon emissions during material transportation, thus reducing the environmental impact of buildings. Selecting concrete and bamboo profiles that meet national environmental protection building material standards and mechanical performance requirements ensures the safety and durability of the building structure while reducing environmental pollution during the production of building materials. This reflects the sustainability concept of eco-friendly building design in material selection and promotes the application and development of green building materials.

[0014] Preferably, in the S8 collaborative iteration process, the initial scheme generation requires at least three rounds of design optimization iterations. The selection of the adaptation technology for the technology integration module is based on a comprehensive evaluation model of ecological and economic benefits. In the S8 collaborative iteration process, BIM integration verification includes professional collaborative review of structural safety, energy-saving performance, and waterproofing and moisture-proofing. The final output design scheme must pass full life cycle performance simulation verification. At least three rounds of design optimization iterations can fully explore the potential of the design scheme, continuously improve and refine design details, and enhance the quality and feasibility of the design scheme. The selection of adaptation technology based on the comprehensive evaluation model of ecological and economic benefits ensures the rationality and sustainability of technology integration. The multi-disciplinary collaborative review of BIM integration verification can comprehensively check the problems of the design scheme in various professional fields, avoiding design defects caused by poor communication between professionals. Full life cycle performance simulation verification evaluates the performance of the design scheme from the perspective of the entire life cycle of the building, ensuring that the final output design scheme reaches the optimal level in terms of structural safety, energy-saving effect, and environmental impact, realizing the comprehensive implementation of the ecological integration concept in architectural design.

[0015] In summary, this application provides an environmentally friendly building design method based on the concept of ecological integration, which has the following beneficial effects: This environmentally friendly building design method based on the concept of ecological integration utilizes a climate zoning algorithm that combines distributed sensor networks with historical meteorological data. It can accurately identify regional climate types, provide scientific climate basis for subsequent design, and enable buildings to better adapt to regional climate characteristics. By using PVsyst, WASP software and GIS system for resource assessment, we can accurately calculate the potential of renewable energy and geographical conditions, optimize the configuration of solar and wind power installations and the design of rainwater harvesting systems, improve resource utilization efficiency and reduce resource waste. By using Grasshopper parametric algorithms and CFD software simulations, building orientation, shape coefficient, and natural ventilation paths can be optimized, improving building spatial layout and ventilation effects, enhancing indoor comfort, and reducing mechanical ventilation energy consumption. By using EnergyPlus software and the LCC lifecycle cost model, energy consumption can be dynamically simulated and energy storage system configuration can be optimized, achieving both economic efficiency and high efficiency of building energy systems while balancing initial investment and operating returns. By configuring composite building envelopes and light pipe systems for different climate zones, the advantages of passive technology can be leveraged to improve building thermal insulation performance and natural lighting effects, while reducing HVAC and lighting energy consumption. Constructing a distributed photovoltaic microgrid and combining it with a BMS system can enable real-time monitoring and intelligent regulation of energy production and consumption, thereby enhancing the building's energy self-sufficiency and management efficiency. Establishing a localized eco-materials library and selecting environmentally friendly profiles can reduce carbon emissions and environmental impact from material transportation and enhance the ecological properties of building materials. Through collaborative iterative processes and BIM integration verification, each module can continuously optimize the design scheme through data interaction, ensuring the integrity, scientific nature, and feasibility of the architectural design, and ultimately forming an environmentally friendly building scheme that takes into account ecological benefits, economic benefits, and functional use. Attached Figure Description

[0016] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] This application provides a technical solution; please refer to [link / reference]. Figure 1 An environmentally friendly building design method based on the concept of ecological integration includes: S1. Climate Data Acquisition and Analysis Steps: A distributed sensor network is used to collect climate parameters such as temperature, humidity, and solar radiation in real time. Combined with historical meteorological data modeling, a climate zoning algorithm is used to divide the region into five types: severe cold, cold, hot summer and cold winter, hot summer and winter, and temperate. The distributed sensor network, through its multi-node layout, enables comprehensive and accurate monitoring of climate parameters within the region, ensuring data real-time performance and accuracy. Modeling with historical meteorological data spanning at least 20 years allows for effective analysis of long-term climate trends. Furthermore, the climate zoning algorithm based on temperature, humidity, and solar radiation characteristics scientifically classifies the region, providing precise climate-based information for subsequent building design. This allows buildings to better adapt to the climate characteristics of different regions, improving building comfort and energy efficiency. S2. Resource assessment steps: PVsyst software was used to simulate solar power generation potential, while WAsP software was used to analyze wind energy resources. A GIS system was combined to assess groundwater level, soil permeability, and bearing capacity, determining the renewable energy capacity threshold and the optimal catchment area for the rainwater harvesting system. When simulating solar power generation potential using PVsyst, a 3D simulation model was built using local solar radiation data, enabling a more realistic simulation of solar power generation under different terrains and building layouts. When analyzing wind energy resources using WAsP, the influence of topography on wind speed was considered, allowing for accurate assessment of regional wind energy resources. The GIS system's assessment of groundwater level, soil permeability, and bearing capacity provided data support for rainwater harvesting systems and building foundation design. The final determined renewable energy capacity threshold and optimal rainwater harvesting area maximize resource utilization, reduce building dependence on traditional energy sources, and improve resource efficiency. S3, Building Form Generation Steps: Based on climate data, the Grasshopper parametric algorithm optimizes building orientation, controls form factor and spatial layout, and uses CFD software to simulate natural ventilation paths and design air deflector angles. When optimizing building orientation, the Grasshopper parametric algorithm comprehensively considers the solar altitude angle and prevailing wind direction, enabling the building to obtain sufficient sunlight while utilizing natural wind to improve indoor ventilation. The CFD simulation of natural ventilation paths visually presents the indoor airflow organization, ensuring it meets human comfort standards. The designed air deflector angles are determined based on the local prevailing wind frequency distribution, effectively guiding natural wind into the building, enhancing natural ventilation efficiency, significantly reducing mechanical ventilation energy consumption, and thus achieving energy-efficient building operation. S4. Energy Simulation Steps: EnergyPlus software was used to conduct dynamic energy consumption simulations of photovoltaic and energy storage systems. Combined with the LCC (Life Cycle Cost) model, battery capacity configuration was optimized to balance initial investment and operational returns. EnergyPlus's dynamic energy consumption simulation covers load variations across different seasons throughout the year, comprehensively simulating energy consumption under various climatic conditions. The LCC model incorporates the phased costs of initial investment, operation and maintenance, and equipment upgrades. Through comprehensive analysis of these costs, combined with the dynamic energy consumption simulation results, battery capacity configuration was optimized to meet the building's electricity needs while achieving a balance between initial investment and operational returns, thus improving the economic efficiency and sustainability of the energy system. S5. Passive technology steps: Composite building envelopes are configured for different climate zones, integrating light pipe natural lighting systems. The material composition and construction of the composite building envelope are adjusted according to regional climate differences. High-insulation materials are used in frigid regions, while a balance between thermal insulation and heat preservation is emphasized in hot-summer and cold-winter regions. This effectively reduces heat exchange between the building and the outside environment, lowering energy consumption for air conditioning and heating. The arrangement of the light pipe natural lighting system meets the requirements for uniform illuminance within the building's interior spaces, introducing natural light into deeper interior spaces, reducing the use of artificial lighting, saving energy, and improving the quality of the indoor lighting environment. S6. Active technical steps: A distributed photovoltaic (PV) microgrid is constructed, equipped with smart inverters, and a Building Management System (BMS) is used to achieve real-time monitoring of energy consumption data and fuzzy PID control. The installed capacity and energy storage system configuration of the distributed PV microgrid are determined based on the building's electricity load characteristics, ensuring that PV power generation matches the building's electricity demand and improving energy self-sufficiency. The BMS system achieves intelligent control of the energy system through a fuzzy PID control algorithm, monitors energy consumption data in real time, dynamically adjusts the operating status of the PV microgrid according to the building's electricity consumption, optimizes energy allocation, improves energy utilization efficiency, and reduces dependence on the main power grid. S7. Material Selection Steps: Establish a localized eco-friendly materials library, selecting concrete and bamboo profiles. The establishment of this library follows the principle of minimizing material transportation distance, reducing energy consumption and carbon emissions during transport. The selected concrete and bamboo profiles must meet national environmental protection building material standards and mechanical performance requirements. Concrete can be produced using locally sourced raw materials, and bamboo profiles are a renewable resource. The use of both ensures the structural safety of the building while embodying eco-friendly principles and reducing the environmental impact of building material production. S8. Collaborative Iteration Process: The ecological assessment module collects data and inputs it into the design optimization module to generate a preliminary scheme. The technology integration module selects suitable technologies and materials based on the preliminary scheme. These modules collaborate and iterate through data interaction, ultimately outputting a complete design scheme through BIM integration and verification. The generation of the preliminary scheme requires at least three rounds of design optimization iterations, continuously refining the design scheme and improving its rationality and feasibility. The technology integration module selects suitable technologies based on a comprehensive evaluation model of ecological and economic benefits, ensuring that the selected technologies achieve both good ecological effects and economic feasibility. BIM integration and verification includes professional collaborative reviews of structural safety, energy-saving performance, and waterproofing and moisture-proofing. Through full life-cycle performance simulation verification, the performance of the design scheme in all aspects can be comprehensively checked, ensuring that the final output design scheme achieves optimal performance in terms of structure, function, and environmental benefits.

[0019] In step S3, the angle of the wind deflector is determined based on the local prevailing wind frequency distribution to enhance natural ventilation efficiency and reduce mechanical ventilation energy consumption. By precisely determining the wind deflector angle according to the local prevailing wind frequency distribution, the wind deflector can guide natural wind into the building as efficiently as possible under different wind conditions, forming a good indoor ventilation circulation. This not only significantly improves the natural ventilation effect and reduces indoor air quality problems caused by insufficient ventilation, but also greatly reduces the operating frequency and duration of mechanical ventilation equipment, thereby reducing the building's energy consumption costs and demonstrating the advantages of eco-friendly building design in ventilation and energy conservation.

[0020] In the S1 climate data acquisition and analysis step, the distributed sensor network collects at least eight types of climate parameters in real time. The historical meteorological data modeling spans at least 20 years. The climate zoning algorithm, based on temperature, humidity, and sunshine characteristics, achieves regional classification. The rich variety of climate parameters collected covers more climate factors affecting building design, such as wind speed, wind direction, and air pressure, making the collected data more comprehensive. The historical meteorological data modeling spanning over 20 years can capture long-term climate change patterns and periodic characteristics. The climate zoning algorithm based on temperature, humidity, and sunshine characteristics, combined with multi-dimensional data for regional classification, improves the scientific rigor and accuracy of climate zoning, providing more reliable climate-based data for subsequent building design and ensuring the adaptability and performance of buildings under different climatic conditions.

[0021] In the S2 resource assessment step, when simulating solar power generation potential using PVsyst software, a 3D simulation model is established by combining local solar radiation data. When analyzing wind energy resources using WAsP software, the influence coefficient of topography on wind speed is considered. PVsyst software, by combining local solar radiation data to establish a 3D simulation model, can simulate the impact of buildings and the surrounding environment on solar energy reception and utilization, more accurately assessing solar power generation potential and providing precise guidance for the design and layout of photovoltaic systems. WAsP software, by considering the influence coefficient of topography on wind speed, can realistically reflect wind energy resource conditions under different terrain conditions, avoiding wind energy assessment biases caused by terrain factors, ensuring the rational design and efficient operation of wind energy utilization systems, and improving the accuracy and practicality of renewable energy assessment.

[0022] In the S3 building form generation step, when optimizing the building orientation, the Grasshopper parametric algorithm comprehensively considers the solar altitude angle and the prevailing wind direction. It uses CFD software to simulate natural ventilation paths to ensure that the indoor airflow organization meets human comfort standards. The Grasshopper parametric algorithm optimizes building orientation by comprehensively considering the solar altitude angle and prevailing wind direction, enabling the building to obtain suitable sunlight in different seasons, avoiding excessive sun exposure or insufficient light, while utilizing natural wind to regulate indoor temperature and air quality. The CFD software simulates natural ventilation paths, ensuring that the indoor airflow organization meets human thermal comfort and air quality requirements through precise analysis of airflow speed, direction, and distribution, thereby improving the comfort and health of the building's interior environment and achieving an organic combination of building form design and human needs.

[0023] S4. Energy Simulation Steps: EnergyPlus software's dynamic energy consumption simulation covers load variations across different seasons throughout the year for buildings. The LCC (Life Cycle Cost) model incorporates the phased costs of initial investment, operation and maintenance, and equipment upgrades. EnergyPlus's dynamic energy consumption simulation across different seasons throughout the year can simulate the differences in energy consumption under extreme weather and normal climate conditions, providing comprehensive data support for energy system design. The LCC model comprehensively considers costs at each stage, helping designers weigh the economics of different energy system options during the design phase, select the optimal photovoltaic and energy storage system configuration, and avoid impacting the project's sustainable development due to excessive initial investment or later operating costs, thus maximizing the cost-effectiveness of the energy system.

[0024] In the S5 passive technology step, the material composition and construction form of the composite building envelope are adjusted according to regional climate differences, and the arrangement of the light pipe natural lighting system meets the requirements for uniform illuminance in the building's interior space. Adjusting the material composition and construction form of the composite building envelope according to regional climate differences can specifically address building thermal issues under different climatic conditions, such as insulation in frigid regions and heat insulation in hot regions, effectively reducing building heating and cooling energy consumption. The rational arrangement of the light pipe natural lighting system to meet the requirements for uniform illuminance can evenly distribute natural light into the building's interior space, reducing areas of excessive brightness or darkness, improving the utilization efficiency of natural light, and creating a comfortable and uniform indoor lighting environment, reducing the use of artificial lighting, and achieving the dual goals of energy saving and comfort.

[0025] In step S6, the active technology step, the installed capacity and energy storage system configuration of the distributed photovoltaic microgrid are determined based on the building's electricity load characteristics. The BMS system achieves intelligent control of the energy system through a fuzzy PID control algorithm. Determining the installed capacity and energy storage system configuration of the distributed photovoltaic microgrid based on the building's electricity load characteristics enables precise matching of photovoltaic power generation with building electricity demand, improving energy self-sufficiency. The fuzzy PID control algorithm of the BMS system can quickly and accurately adjust the operating parameters of the energy system, such as the output power of the photovoltaic inverter and the charging and discharging state of the energy storage battery, based on real-time energy consumption data and energy supply conditions. This achieves dynamic optimization of energy allocation, improves energy utilization efficiency, reduces dependence on the external power grid, and enhances the stability and reliability of the building's energy system.

[0026] S7. In the material selection step, the establishment of a localized eco-materials database follows the principle of minimizing material transportation distance. The selected concrete and bamboo profiles must meet national environmental protection building material standards and mechanical performance requirements. Establishing a localized eco-materials database based on minimizing material transportation distance significantly reduces energy consumption and carbon emissions during material transportation, thus lowering the environmental impact of buildings. Selecting concrete and bamboo profiles that meet national environmental protection building material standards and mechanical performance requirements ensures the safety and durability of the building structure while reducing environmental pollution during the production process of building materials. This reflects the sustainability concept of eco-friendly building design in material selection and promotes the application and development of green building materials.

[0027] In the S8 collaborative iteration process, the initial design must undergo at least three rounds of design optimization iterations. The selection of adaptation technologies for the technology integration module is based on a comprehensive evaluation model of ecological and economic benefits. In the S8 collaborative iteration process, BIM integration verification includes professional collaborative reviews of structural safety, energy-saving performance, and waterproofing and moisture-proofing. The final output design scheme must pass full life-cycle performance simulation verification. At least three rounds of design optimization iterations fully explore the potential of the design scheme, continuously improve and refine design details, and enhance the quality and feasibility of the design scheme. The selection of adaptation technologies based on a comprehensive evaluation model of ecological and economic benefits ensures the rationality and sustainability of technology integration. Multi-disciplinary collaborative reviews of BIM integration verification comprehensively examine problems in various professional fields, avoiding design defects caused by poor communication between professionals. Full life-cycle performance simulation verification evaluates the performance of the design scheme from the perspective of the entire building life cycle, ensuring that the final output design scheme achieves optimal levels in terms of structural safety, energy-saving effects, and environmental impact, realizing the comprehensive implementation of the ecological integration concept in architectural design.

[0028] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0029] Although embodiments of this application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An environmentally friendly building design method based on the concept of ecological integration, characterized in that, include: S1. Climate Data Acquisition and Analysis Steps: A distributed sensor network is used to collect climate parameters such as temperature, humidity and solar radiation in real time. Combined with historical meteorological data for modeling, the region is divided into five types: severe cold, cold, hot summer and cold winter, hot summer and winter and temperate through climate zoning algorithm. S2. Resource assessment steps: PVsyst software was used to simulate the potential of solar power generation, WAsP software was used to analyze wind energy resources, and a GIS system was used to assess groundwater level, soil permeability coefficient and bearing capacity to determine the threshold for renewable energy installation capacity and the optimal catchment area for rainwater harvesting system. S3, Building Form Generation Steps: Based on climate data, the Grasshopper parametric algorithm is used to optimize building orientation, control the shape coefficient and spatial layout, and CFD software is used to simulate natural ventilation paths and design the angle of air guide plates. S4. Energy Simulation Steps: EnergyPlus software was used to perform dynamic energy consumption simulation of photovoltaic and energy storage systems. Combined with the LCC full life cycle cost model, the battery capacity configuration was optimized to balance the initial investment and operating returns. S5. Passive technology steps: Composite enclosure structures are configured for different climate zones, integrating light pipe natural lighting systems; S6. Active technical steps: Construct a distributed photovoltaic microgrid, pair it with a smart inverter, and realize real-time monitoring of energy consumption data and fuzzy PID regulation through a BMS system; S7. Material Selection Steps: Establish a localized eco-friendly materials library, selecting concrete and bamboo profiles; S8. Collaborative Iteration Process: The ecological assessment module collects data and inputs it into the design optimization module to generate a preliminary scheme. The technology integration module selects suitable technologies and materials based on the preliminary scheme. Each module conducts collaborative iterative optimization through data interaction. Finally, the complete design scheme is output through BIM integration and verification.

2. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: In step S3, the building form generation step, the angle of the designed wind deflector is determined according to the local prevailing wind frequency distribution, so as to improve the building's natural ventilation efficiency and reduce mechanical ventilation energy consumption.

3. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: In step S1, climate data acquisition and analysis, the distributed sensor network collects at least 8 types of climate parameters in real time, the time span of historical meteorological data modeling is at least 20 years, and the climate zoning algorithm achieves regional classification based on temperature, humidity and sunshine characteristic parameters.

4. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: In step S2, the resource assessment step, when using PVsyst software to simulate the potential of solar power generation, a three-dimensional simulation model is established by combining local solar radiation data. When using WAsP software to analyze wind energy resources, the influence coefficient of topography on wind speed is considered.

5. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: In step S3, the building form generation step, when the Grasshopper parametric algorithm optimizes the building orientation, it comprehensively considers the solar altitude angle and the prevailing wind direction, and uses CFD software to simulate the natural ventilation path to ensure that the indoor airflow organization meets the human comfort standard.

6. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: The S4 energy simulation step, EnergyPlus software's dynamic energy consumption simulation covers the load changes of the building in different seasons throughout the year, and the LCC life cycle cost model includes the stage costs of initial investment, operation and maintenance and equipment upgrades.

7. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: In step S5, the passive technology step, the material combination and construction form of the composite enclosure structure are adjusted according to the differences in climate regions, and the arrangement of the light pipe natural lighting system meets the requirements of illuminance uniformity in the interior space of the building.

8. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: In step S6, the active technology step, the installed capacity of the distributed photovoltaic microgrid and the configuration of the energy storage system are determined based on the building's electricity load characteristics, and the BMS system realizes intelligent control of the energy system through a fuzzy PID regulation algorithm.

9. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: In step S7, material selection, the establishment of the localized ecological material library follows the principle of minimizing material transportation distance, and the selected concrete and bamboo profiles meet national environmental protection building material standards and mechanical performance requirements.

10. The environmentally friendly building design method based on the concept of ecological integration according to claim 1, characterized in that: In the S8 collaborative iteration process, the initial scheme is generated through at least three rounds of design optimization iterations. The selection of the adaptation technology for the technology integration module is based on a comprehensive evaluation model of ecological and economic benefits. In the S8 collaborative iteration process, BIM integration verification includes professional collaborative review of structural safety, energy-saving performance, and waterproofing and moisture-proofing. The final output design scheme is verified through full life cycle performance simulation.

Images