A comprehensive carbon reduction regulation method and system suitable for zero-carbon buildings

Abstract

The application discloses a kind of comprehensive carbon reduction regulation methods and systems suitable for zero-carbon building, including constructing airfoil type sunshade wind guide component;Real-time acquisition component configuration parameters and indoor and outdoor comprehensive sensing environment data;Under the working condition of building actual application scene, computer airfoil type sunshade wind guide component is calculated under different component operating mode Energy-saving carbon reduction amount;Based on multi-objective optimization theory and adaptive particle swarm optimization algorithm, the energy-saving carbon reduction amount obtained under multiple scenes and multiple modes is dynamically weighted calculation, to determine the maximum building comprehensive energy-saving carbon reduction amount Correction component configuration parameters;According to the corrected component configuration parameters obtained, drive adjustment airfoil type sunshade wind guide component posture, and record and form closed-loop control after adjusting component posture data Real-time feedback.This application ensures that the building is in the best energy-saving carbon reduction state during the operation process under different seasons and weather conditions, multifunctional integration, dynamic adjustment, multi-objective collaborative optimization.

Description

Technical Field

[0001] This invention belongs to the field of building energy conservation and renewable energy utilization technology, specifically relating to a comprehensive carbon reduction control method and system adapted to zero-carbon buildings. Background Technology

[0002] The construction industry is one of the major sources of global carbon emissions. Existing energy-saving technologies for building envelopes mainly include four categories: shading, BIPV (Building Integrated Photovoltaics), natural ventilation, and natural lighting. However, all have significant limitations: fixed shading cannot dynamically adjust with the sun's angle, resulting in significant performance conflicts between winter and summer; the fixed angle of BIPV components leads to fluctuations in power generation efficiency and wasted functionality on the back side; fixed wind-guiding components struggle to adapt to complex wind environments; and independent lighting facilities with non-adjustable angles experience a significant decline in effectiveness over time. More critically, these technologies generally exhibit common problems of "single function, static design, and lack of coordination"—independent installation of each system not only increases costs and space requirements but also creates functional conflicts; fixed configurations or simple timed adjustments cannot respond to real-time environmental changes; single-objective control strategies struggle to balance the complex coupling relationships between power generation, shading, ventilation, and lighting; and open-loop control systems lack feedback correction mechanisms, making it difficult to ensure actual operational effectiveness. On the one hand, functions such as photovoltaics, shading, ventilation, and lighting are physically dispersed and have not been highly integrated at the component level, resulting in system fragmentation and resource waste. On the other hand, existing technologies lack intelligent control methods that can uniformly quantify and optimize multiple physical processes in real time, making it impossible to maximize the comprehensive carbon reduction effect under all operating conditions. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a comprehensive carbon reduction control method and system adapted to zero-carbon buildings.

[0004] To achieve the above objectives, the present invention is implemented using the following technical solution: In a first aspect, the present invention provides a comprehensive carbon reduction and control method adapted to zero-carbon buildings, comprising: Step S1: Construct an airfoil-shaped sunshade and wind guide component that integrates a front photovoltaic power generation module and a back high-reflectivity coating and is adjustable at multiple angles and positions; Step S2: Real-time acquisition of the component morphology parameters of the airfoil-shaped sunshade and wind guide components and the comprehensive indoor and outdoor sensing environmental data at a certain moment or time period; Step S3: Based on the obtained component morphology parameters and comprehensive indoor and outdoor sensing environmental data, and adapting to the actual building application scenarios, the energy saving and carbon reduction of the computer airfoil sunshade and wind guide component under different component operation modes; Step S4: Based on multi-objective optimization theory and adaptive particle swarm optimization algorithm, dynamically weighted calculations are performed on the energy saving and carbon reduction amounts obtained in multiple scenarios and modes to determine the corrected component morphology parameters that maximize the overall energy saving and carbon reduction of the building. Step S5: Based on the obtained modified component morphology parameters, drive the adjustment of the airfoil-shaped sunshade and wind guide component attitude, and record the adjusted component attitude data in real time to form a closed-loop control.

[0005] Furthermore, the component morphology parameters of the airfoil-shaped sunshade and wind guide component, including angle and position, can be obtained in real time at a certain moment or time period. Real-time acquisition of integrated indoor and outdoor environmental data includes deploying a small outdoor weather station to collect outdoor meteorological data, including temperature (T). O ), humidity (RH) o ), solar radiation intensity (R) s ), wind speed (V) s ), wind direction (W) d ), outdoor air quality (AQI); and indoor monitoring sensors are deployed to monitor indoor temperature (T). i ), humidity (RH) i Illuminance (Lux), CO2 concentration (PPM), and human activity sensing (M).

[0006] Furthermore, the different component operation modes include photovoltaic power generation mode, component shading mode, enhanced lighting mode, enhanced ventilation mode, irradiation promotion mode, and nighttime ventilation and cold storage mode; The photovoltaic power generation mode calculates the instantaneous photovoltaic power generation based on instantaneous solar radiation, solar incidence angle, component power generation efficiency, installed capacity, and system losses. The component shading mode calculates the instantaneous energy saving generated by the air conditioning system due to shading based on solar radiation, solar incidence angle, shading parameters of external windows and external walls, and the performance coefficient of the building air conditioning system. The enhanced daylighting mode calculates the instantaneous energy saving of the lighting system based on outdoor direct sunlight illuminance, solar incidence angle, reflective coating light reflectivity, component reflective area, exterior window area, and indoor comprehensive diffuse reflection coefficient. The enhanced ventilation mode calculates the instantaneous energy saving generated by natural ventilation in the air conditioning system based on outdoor wind speed, wind direction, ventilation opening size, component deflection angle, distance between component and ventilation opening, and indoor and outdoor temperature difference. The irradiation promotion mode calculates the instantaneous energy saving generated by the heating system due to solar irradiation based on solar radiation, solar incidence angle, irradiation parameters of external windows and external walls, and the performance coefficient of the building heating system. The nighttime ventilation and cold storage mode calculates the total energy saved by the air conditioning system due to nighttime cold storage based on outdoor wind speed, wind direction, ventilation opening size, component deflection angle, indoor heat storage body temperature, and thermal parameters.

[0007] Furthermore, the calculation formulas for the energy saving and carbon reduction of the airfoil-shaped sunshade and air guide component under different component operating modes are expressed as follows: The formula for calculating energy saving and carbon reduction under photovoltaic power generation mode is expressed as follows: ; The formula for calculating energy saving and carbon reduction under component shading mode is expressed as follows: ; The formula for calculating energy saving and carbon reduction under enhanced lighting mode is expressed as follows: ; The formula for calculating energy savings and carbon reduction under enhanced ventilation mode is expressed as follows: ; The formula for calculating energy saving and carbon reduction under irradiation-enhanced mode is expressed as follows: ; The formula for calculating energy saving and carbon reduction under nighttime ventilation and cold storage mode is as follows: ; In the formula, Q For component installed capacity, Ri This represents the instantaneous amount of solar radiation. θi The instantaneous angle of solar incidence. ηe For the power generation efficiency of the components, ηs For system losses, Sg 1. Sg 2 represents the shading / irradiance area of ​​the exterior window. Tg The light transmittance of the exterior window. Sw 1. Sw 2 represents the external wall shading / irradiation area. Kw The heat transfer coefficient of the exterior wall. MC The coefficient of performance (COP) of the air conditioning system. Lxd Outdoor direct sunlight illuminance, γs The light reflectivity of the reflective coating, Se The reflective area of ​​the component, SW For the area of ​​the exterior window, γa The indoor diffuse reflectance coefficient, VW Outdoor wind speed, H The height of the ventilation opening. L The vertical distance between the component and the ventilation opening. Wo The width of the ventilation opening. Ti, To Indoor and outdoor temperatures, respectively MH The coefficient of performance (COP) of the heating system. C The specific heat capacity of air, Cx The specific heat capacity of the heat storage body. Mx For the mass of the heat storage body, TH 1. TH 2 represents the wall temperature of the heat storage body.

[0008] Furthermore, the formula for maximizing the overall energy saving and carbon reduction of a building is expressed as follows: ; In the formula, C CO2 Reduce the overall carbon footprint of the building. F CO2 It is a carbon emission factor.

[0009] Furthermore, to adapt to actual building application scenarios, the operating modes of different components corresponding to the airfoil-shaped sunshade and wind-guiding components include: Under summer air conditioning conditions, the combined components can be used in shading mode, photovoltaic power generation mode, and enhanced daylighting mode. During summer nighttime operation, a nighttime ventilation and cold storage mode is adopted. During the spring and autumn transition season, the combined components can be used in shading mode, photovoltaic power generation mode, enhanced ventilation mode, and enhanced lighting mode. Under winter air conditioning conditions, a combination of irradiation promotion mode, photovoltaic power generation mode and enhanced daylighting mode is used. In addition, photovoltaic power generation is used during the day when there is no human activity.

[0010] Furthermore, during the real-time acquisition and control of the attitude parameters of the airfoil-shaped sunshade and wind-guiding components, the parameters that need to be acquired include environmental perception parameters and component operation parameters. The environmental perception parameters include acquiring the current date and time, building geographical location information (longitude and latitude), and indoor and outdoor environmental data, including indoor and outdoor temperature and humidity, atmospheric pressure, solar radiation illuminance, outdoor wind speed and direction, air quality index, and power grid capacity data. The component operation parameters include acquiring the number of airfoil-shaped sunshade and wind-guiding components participating in the control, the horizontal rotation angle, vertical rotation angle, rotational angular velocity, start and stop status and start and stop time of each component, and the dwell time of the component at each angular position.

[0011] Furthermore, the dynamic optimization and control process based on multi-objective optimization theory and adaptive particle swarm optimization algorithm includes the following steps: Based on the real-time acquired environmental sensing parameters and component operation parameters, the energy-saving and carbon-reduction benefits of photovoltaic power generation mode, natural ventilation mode, shading and heat insulation mode, lighting and supplementary lighting mode and nighttime cold storage mode are calculated by using multi-objective optimization theory combined with adaptive particle swarm optimization algorithm. The optimal operation strategy that maximizes the comprehensive energy saving and carbon reduction is selected by dynamic weighted calculation. The optimal operating strategy is parsed into specific component control commands, including the number of components involved in the regulation, the target horizontal / vertical rotation angle, the rotation rate, the start and stop timing, and the position dwell time, which drive the airfoil-shaped sunshade and wind guide components to perform corresponding attitude adjustments. During the component attitude adjustment process, real-time operating data is collected and fed back to the optimization calculation module to dynamically evaluate the carbon reduction efficiency of the current operating strategy. When a better strategy is detected, the component attitude is immediately readjusted, forming an adaptive control mechanism of real-time monitoring, dynamic optimization and closed-loop execution to ensure that the component always operates in the best carbon reduction efficiency state.

[0012] On the other hand, the present invention provides a comprehensive carbon reduction control system adapted to zero-carbon buildings, which executes the comprehensive carbon reduction control method adapted to zero-carbon buildings as described in any one of the first aspects, and includes the following modules: A novel movable component module is used to construct an airfoil-shaped sunshade and wind guide component that integrates a front photovoltaic power generation module and a back high-reflectivity coating and is adjustable at multiple angles and positions. The multi-source data acquisition module is used to acquire in real time the component morphology parameters of the airfoil-shaped sunshade and wind guide component and the comprehensive indoor and outdoor sensing environmental data at a certain moment or time period; The multi-mode energy-saving calculation module is used to calculate the energy saving and carbon reduction of the airfoil shading and wind guide component under different component operation modes based on the acquired component morphological parameters, comprehensive indoor and outdoor sensing environmental data, and the actual application scenarios of the building. The multi-objective optimization decision module is used to dynamically weight and calculate the energy saving and carbon reduction of multiple scenarios and modes based on multi-objective optimization theory and adaptive particle swarm optimization algorithm, and determine the corrected component morphology parameters that maximize the overall energy saving and carbon reduction of the building. The execution feedback control module is used to drive the adjustment of the attitude of the airfoil-shaped sunshade and wind guide component based on the obtained correction component morphology parameters, and to record and feed back the adjusted component attitude data in real time to form a closed-loop control.

[0013] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: The comprehensive carbon reduction and control method and system adapted to zero-carbon buildings provided by this invention aim to achieve multiple comprehensive energy-saving and carbon-reduction effects under different conditions through single construction measures. It avoids the drawbacks of poor applicability and unclear energy-saving and carbon-reduction effects of single construction measures under multiple operating conditions; high incremental costs and redundant construction associated with multiple construction measures; and combines active and passive energy-saving and carbon-reduction measures in buildings, matching photovoltaic power generation and air conditioning energy saving under optimal operating conditions, while ensuring building comfort and promoting building energy conservation and carbon reduction.

[0014] Multiple operating modes (photovoltaic power generation, component shading, enhanced lighting, enhanced ventilation, irradiation promotion, and nighttime ventilation and cold storage) are constructed to fully cover the energy-saving needs of various application scenarios under different seasons, times, and indoor environments throughout the year. Through the working condition adaptation strategy, the optimal mode combination is automatically selected under different scenarios to ensure that significant energy-saving and carbon reduction effects can be achieved at all times throughout the year, solving the problems of poor seasonal adaptability and incomplete time coverage of traditional technologies. This system maximizes comprehensive carbon reduction by employing a multi-objective optimization algorithm. It quantifies energy savings from photovoltaic power generation, shading, ventilation, daylighting, heating, and cold storage into a unified carbon reduction index. Based on multi-objective optimization theory and an adaptive particle swarm optimization algorithm, it can weigh the interactions between different energy-saving paths in real time. Furthermore, it determines the optimal morphological parameters of building components through dynamic weight allocation strategies, considering the synergistic effect of angle adjustment on power generation and shading, and the comprehensive effect of position changes on wind guidance and daylighting. Compared to single-objective control, this system achieves comprehensive optimization rather than local optimization, significantly improving the overall energy-saving and carbon-reduction efficiency of buildings. Additionally, by updating indoor and outdoor environmental data, the integrated algorithm system performs dynamic calculations simultaneously, and the actuators adjust the component posture in real time and transmit the status data back, forming a continuous optimization feedback mechanism. Attached Figure Description

[0015] Figure 1 A flowchart of a comprehensive carbon reduction and control method adapted to zero-carbon buildings provided in an embodiment of the present invention.

[0016] Figure 2 This is a schematic diagram of an architectural scene for an airfoil-shaped sunshade and wind guide component provided in an embodiment of the present invention.

[0017] Figure 3 This is a three-dimensional schematic diagram of an airfoil-shaped sunshade and wind guide component provided in an embodiment of the present invention. Detailed Implementation

[0018] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0019] like Figure 1As shown, this embodiment of the invention provides a comprehensive carbon reduction and control method adapted to zero-carbon buildings, including: Step S1: Construct an airfoil-shaped sunshade and wind guide component that integrates a front photovoltaic power generation module and a back high-reflectivity coating and is adjustable at multiple angles and positions; Step S2: Real-time acquisition of the component morphology parameters of the airfoil-shaped sunshade and wind guide components and the comprehensive indoor and outdoor sensing environmental data at a certain moment or time period; Step S3: Based on the obtained component morphology parameters and comprehensive indoor and outdoor sensing environmental data, and adapting to the actual building application scenarios, the energy saving and carbon reduction of the computer airfoil sunshade and wind guide component under different component operation modes; Step S4: Based on multi-objective optimization theory and adaptive particle swarm optimization algorithm, dynamically weighted calculations are performed on the energy saving and carbon reduction amounts obtained in multiple scenarios and modes to determine the corrected component morphology parameters that maximize the overall energy saving and carbon reduction of the building. Step S5: Based on the obtained modified component morphology parameters, drive the adjustment of the airfoil-shaped sunshade and wind guide component attitude, and record the adjusted component attitude data in real time to form a closed-loop control.

[0020] In step S1, an airfoil-shaped sunshade and wind guide component is constructed, which integrates a front photovoltaic power generation module and a back high-reflectivity coating and is adjustable at multiple angles and positions.

[0021] At present, the sunshade components are integrated with photovoltaic power generation modules (single-sided) and high-reflective coatings (single-sided), and the components are set as airfoil-shaped sunshade and wind-guiding components to ensure their superior wind-guiding effect.

[0022] Meanwhile, in the combination of airfoil-shaped sunshade and wind-guiding components with buildings, the components are given greater freedom and more versatile usage scenarios by setting electric rotating shafts and sliding tracks.

[0023] In step S2, the component morphology parameters of the airfoil-shaped sunshade and wind guide component and the comprehensive indoor and outdoor sensing environmental data are acquired in real time at a certain moment or time period.

[0024] Deploy small weather stations outdoors to collect outdoor weather data, including temperature (T). O ), humidity (RH) o ), solar radiation intensity (R) s ), wind speed (V) s ), wind direction (W) d Outdoor air quality (AQI) and indoor monitoring sensors are deployed to monitor indoor temperature (T). i ), humidity (RH) iThe various information data collected by the monitoring modules for illumination (Lux), CO2 concentration (PPM), and human activity sensing (M) are aggregated through the monitoring platform. All types of monitoring data are updated every minute to provide data support for comprehensive calculation.

[0025] The building's own data and location data are synchronously imported into the calculation module through relevant interfaces, including the building's latitude and longitude, functional space area, orientation, window-to-wall ratio, room width and depth, and building envelope. The input of the above basic data facilitates subsequent comprehensive calculation optimization.

[0026] In step S3, based on the acquired component morphology parameters and comprehensive indoor and outdoor sensing environmental data, as well as the energy saving and carbon reduction of the computer airfoil sunshade and wind guide component under different component operation modes, and adapted to the actual building application scenario, the energy saving and carbon reduction of the computer airfoil sunshade and wind guide component are determined.

[0027] By receiving real-time environmental data from the integrated sensing system, the carbon emissions under various operating modes are calculated in different scenarios, and the optimal operating strategy is determined based on a multi-objective optimization algorithm.

[0028] For various hourly operating conditions, the integrated algorithm system can calculate the energy saving and carbon reduction of different paths.

[0029] In the component-based power generation mode, the carbon reduction components adjust the component angle and position in real time to always align the photovoltaic surface with sunlight, maximizing the amount of solar radiation received and ensuring maximum photovoltaic power generation.

[0030] The photovoltaic power generation of the component is calculated by obtaining the following data: instantaneous solar radiation R. i Instantaneous solar incidence angle θ i Component power generation efficiency η e Component installed capacity Q, system loss η S Obtain instantaneous photovoltaic power generation E p .

[0031] ; Combined with solar radiation R i Instantaneous solar incidence angle θ i The change in can be used to fit the photovoltaic power generation E. P The relationship with the shape (angle and position) of the active components.

[0032] In component shading mode, the carbon reduction components adjust the component angle and position in real time to ensure that the components block sunlight to the maximum extent, reduce heat radiation from building windows and walls, and thus reduce air conditioning load and reduce air conditioning energy consumption.

[0033] The air conditioning energy of the service space of the component is calculated by obtaining the following data: instantaneous solar radiation R iInstantaneous solar incidence angle θ i , External window shading area S g1 Window light transmittance coefficient T g Exterior wall shading area S w1 External wall heat transfer coefficient K w Building air conditioning system performance coefficient M C In this mode, the instantaneous energy saving E of the air conditioning system A1 .

[0034] ; Combined with solar radiation R i Instantaneous solar incidence angle θ i The changes can be used to fit the air conditioning energy (caused by component shading) E. A1 The relationship with the shape (angle and position) of the active components.

[0035] In the enhanced lighting mode, the carbon reduction components adjust the component angle and position in real time to always align the high-efficiency reflector with sunlight, maximizing the reflection of outdoor natural light into the room, enhancing the indoor natural lighting effect, reducing artificial lighting and lowering lighting energy consumption.

[0036] The energy-saving lighting of the service space of the component is calculated by obtaining the following data: instantaneous outdoor direct sunlight illuminance (Lx). d Instantaneous solar incidence angle θ i Reflective coating light reflectance γ s Component reflective area S e Window area S W γ, the overall diffuse reflectance coefficient of the building interior a Instantaneous energy saving E of lighting system after enhancing daylighting through component enhancement L .

[0037] ; Combined with outdoor direct sunlight illuminance Lx d Instantaneous solar incidence angle θ i The change in the lighting energy saving E can be fitted. L The curve showing the relationship between the shape (angle and position) of the active component.

[0038] In the enhanced ventilation mode, the carbon reduction components adjust the component angle and position in real time to maximize the introduction of outdoor air into the room, generating a natural ventilation effect, removing indoor heat and humidity, and reducing air conditioning energy consumption.

[0039] The air conditioning energy of the space served by the component is calculated by obtaining the following data: instantaneous outdoor wind speed V W Outdoor wind direction D W Width of exterior window ventilation opening W o, Width of exterior window ventilation opening H o Component deflection angle θ r Vertical distance L between the component and the ventilation opening, indoor air temperature T i Outdoor temperature T o Specific heat capacity of air (C), coefficient of performance (M) of building air conditioning system C After the air is guided by the components, the instantaneous energy saving E of the air conditioning system A2 .

[0040] ; Combined with outdoor wind speed V W Outdoor wind direction D W Component deflection angle θ r The changes can be used to fit the air conditioning energy (caused by enhanced ventilation) E. A2 The relationship with the shape (angle and position) of the active components.

[0041] In the component irradiation promotion mode, the carbon reduction component adjusts the component angle and position in real time to ensure that the component avoids blocking sunlight to the greatest extent, increases the heat radiation of the building's windows and walls, and thus reduces the heating load and energy consumption.

[0042] The heating energy saving of the service space of the component is calculated by obtaining the following data: instantaneous solar radiation R i Instantaneous solar incidence angle θ i , External window irradiance area S g2 Window light transmittance coefficient T g External wall irradiation area S w2 External wall heat transfer coefficient K w Coefficient of performance (COP) of building heating systems H In this mode, the instantaneous energy saving E of the heating system H .

[0043] ; Combined with solar radiation R i Instantaneous solar incidence angle θ i The changes can be fitted to determine the heating energy saving E. H The relationship with the shape (angle and position) of the active components.

[0044] In the nighttime ventilation and cold storage mode, the carbon reduction component adjusts the component angle and position in real time to maximize the introduction of outdoor air into the room. Combined with heat storage components such as indoor walls and furniture, it stores the outdoor cold energy at night for use the next day, reducing the energy consumption of air conditioning the next day.

[0045] The air conditioning energy of the space served by the component is calculated by obtaining the following data: instantaneous outdoor wind speed V W Outdoor wind direction D WWidth of exterior window ventilation opening W o , Width of exterior window ventilation opening H o Component deflection angle θ i Vertical distance L between the component and the ventilation opening, and indoor heat storage body wall temperature T H1 and T H2 Mass M of heat storage body x Specific heat capacity C of the heat storage body x Outdoor temperature T o Specific heat capacity of air (C), coefficient of performance (M) of building air conditioning system C After the air is guided by the components, the total energy saving E of the air conditioning system A3 .

[0046] ; Combined with outdoor wind speed V W Outdoor wind direction D W Component deflection angle θ i、 Indoor heat storage body wall temperature T H The changes can be used to fit the air conditioning energy (caused by nighttime cooling) E. A3 The relationship with the shape (angle and position) of the active components.

[0047] Carbon reduction of the above-mentioned modes: C CO2 =∑(E A1 E A2 E A3 E P E L E H )*F CO2 ; Among them, C CO2 For the overall carbon reduction of buildings, F CO2 For relevant carbon emission factors Based on the above six energy-saving and carbon-reduction pathways and usage modes, and according to different application scenarios, the energy-saving and carbon-reduction amounts of each mode (up to 6) are comprehensively calculated, and a comprehensive weighted calculation is performed to obtain the attitude mode of the carbon-reduction component that maximizes the overall energy-saving and carbon-reduction of the building.

[0048] In this embodiment, based on the actual operating patterns of buildings, the difficulty of comprehensive calculation is reduced, while the real-time performance and convenience of comprehensive calculation are increased. The application scenarios can be divided into the following six operating conditions according to the operating patterns and time. Under different operating conditions, the above comprehensive algorithm is matched with them, and the corresponding optimal energy-saving and carbon-reduction results are obtained through multiple different carbon reduction paths.

[0049] ①Summer air conditioning operation Under summer air conditioning conditions, the main considerations are the shading mode, photovoltaic power generation mode, and enhanced light-gathering mode of the components. By using a comprehensive optimization calculation system to calculate the optimal energy saving and carbon reduction after the three modes are combined, the instantaneous shape and location of the carbon reduction components can be determined.

[0050] As the day progresses, the relevant variable (solar radiation R) i Instantaneous solar incidence angle θ i Outdoor direct sunlight illuminance (Lx) d After real-time changes (e.g.), the comprehensive optimization calculation system synchronously and dynamically calculates and provides the necessary adjustment methods for the carbon reduction components in real time, ensuring that the energy-saving and carbon-reducing effects produced by the carbon reduction components always remain at their best under the current conditions.

[0051] ②Summer nighttime operating conditions Summer nighttime operation refers to summer, late spring and early autumn. It mainly considers the nighttime ventilation and cooling mode. The optimal energy saving and carbon reduction in this mode is calculated by the comprehensive optimization calculation system, and the instantaneous shape and location of the carbon reduction components are determined.

[0052] As time goes on, the relevant variables (instantaneous outdoor wind speed V) W Outdoor wind direction D W Heat storage body wall temperature T H1 and T H2 Outdoor temperature T o After real-time changes (e.g.), the comprehensive optimization calculation system synchronously and dynamically calculates and provides the necessary adjustment methods for the carbon reduction components in real time, ensuring that the energy-saving and carbon-reducing effects produced by the carbon reduction components always remain at their best under the current conditions.

[0053] ③Spring and Autumn Transition Season Operating Conditions During the spring and autumn transition season, the main considerations are the shading mode, photovoltaic power generation mode, enhanced ventilation mode, and enhanced lighting mode of the components. By using a comprehensive optimization calculation system to calculate the optimal energy saving and carbon reduction after the four modes are combined, the instantaneous shape and location of the carbon reduction components can be determined.

[0054] As the day progresses, the relevant variable (solar radiation R) i Instantaneous solar incidence angle θ i Outdoor direct sunlight illuminance (Lx) d Outdoor wind speed V W Outdoor wind direction D W Component deflection angle θ r After real-time changes (e.g.), the comprehensive optimization calculation system synchronously and dynamically calculates and provides the necessary adjustment methods for the carbon reduction components in real time, ensuring that the energy-saving and carbon-reducing effects produced by the carbon reduction components always remain at their best under the current conditions.

[0055] ④ Winter air conditioning seasonal operation Under winter air conditioning conditions, the main considerations are the irradiation promotion mode, photovoltaic power generation mode and enhanced light-gathering mode of the components. By calculating the optimal energy saving and carbon reduction after the three modes are combined through a comprehensive optimization calculation system, the instantaneous shape and location of the carbon reduction components can be determined.

[0056] As the day progresses, the relevant variable (solar radiation R) i Instantaneous solar incidence angle θ i Outdoor direct sunlight illuminance (Lx) d After real-time changes (e.g.), the comprehensive optimization calculation system synchronously and dynamically calculates and provides the necessary adjustment methods for the carbon reduction components in real time, ensuring that the energy-saving and carbon-reducing effects produced by the carbon reduction components always remain at their best under the current conditions.

[0057] ⑤ No human intervention during the day.

[0058] During the daytime when there is no human intervention, the main focus is on the photovoltaic power generation mode of the modules. By using a comprehensive optimization calculation system to calculate the optimal energy saving and carbon reduction of this mode, the instantaneous shape and location of the carbon reduction modules can be determined.

[0059] As the day progresses, the relevant variable (solar radiation R) i Instantaneous solar incidence angle θ i After real-time changes (e.g.), the comprehensive optimization calculation system synchronously and dynamically calculates and provides the necessary adjustment methods for the carbon reduction components in real time, ensuring that the energy-saving and carbon-reducing effects produced by the carbon reduction components always remain at their best under the current conditions.

[0060] Step S4: Based on multi-objective optimization theory and adaptive particle swarm optimization algorithm, dynamically weighted calculations are performed on the energy saving and carbon reduction amounts obtained in multiple scenarios and modes to determine the modified component morphology parameters that maximize the overall energy saving and carbon reduction of the building.

[0061] Under different application scenarios, the optimal working state and presentation form of the active component can be determined based on the results given by the comprehensive optimization calculation system, including the component rotation angle, the fixed position of the upper and lower sliding rails, and other states.

[0062] In step S5, based on the obtained modified component morphology parameters, the attitude of the airfoil-shaped sunshade and wind guide component is adjusted, and the adjusted component attitude data is fed back and recorded in real time to form a closed-loop control.

[0063] Based on instructions from the integrated optimization calculation system, the integrated carbon reduction components perform real-time adjustments to their static or operational status, and feed the status data back to the integrated calculation system in real time, ensuring synchronized and efficient overall integrated calculation and analysis. Through the above-mentioned real-time data acquisition, intelligent analysis, and optimized control, a closed-loop feedback mechanism is formed to ensure that the building is always in the optimal energy-saving and carbon-reducing state during operation under different seasons and weather conditions.

[0064] In this embodiment, during the real-time acquisition and control of the attitude parameters of the airfoil-shaped sunshade and wind guide component, the parameters to be acquired include environmental perception parameters and component operation parameters. The environmental perception parameters include acquiring the current date and time, building geographical location information (longitude and latitude), and indoor and outdoor environmental data, including indoor and outdoor temperature and humidity, atmospheric pressure, solar radiation illuminance, outdoor wind speed and direction, air quality index, and power grid capacity data. The component operation parameters include acquiring the number of airfoil-shaped sunshade and wind guide components participating in the control, the horizontal rotation angle, vertical rotation angle, rotational angular velocity, start and stop status and start and stop time of each component, and the dwell time of the component at each angular position.

[0065] In this embodiment, the dynamic optimization and control process based on multi-objective optimization theory and adaptive particle swarm optimization algorithm includes the following steps: Based on the real-time acquired environmental sensing parameters and component operation parameters, the energy-saving and carbon-reduction benefits of photovoltaic power generation mode, natural ventilation mode, shading and heat insulation mode, lighting and supplementary lighting mode and nighttime cold storage mode are calculated by using multi-objective optimization theory combined with adaptive particle swarm optimization algorithm. The optimal operation strategy that maximizes the comprehensive energy saving and carbon reduction is selected by dynamic weighted calculation. The optimal operating strategy is parsed into specific component control commands, including the number of components involved in the regulation, the target horizontal / vertical rotation angle, the rotation rate, the start and stop timing, and the position dwell time, which drive the airfoil-shaped sunshade and wind guide components to perform corresponding attitude adjustments. During the component attitude adjustment process, real-time operating data is collected and fed back to the optimization calculation module to dynamically evaluate the carbon reduction efficiency of the current operating strategy. When a better strategy is detected, the component attitude is immediately readjusted, forming an adaptive control mechanism of real-time monitoring, dynamic optimization and closed-loop execution to ensure that the component always operates in the best carbon reduction efficiency state.

[0066] On the other hand, embodiments of the present invention also provide a comprehensive carbon reduction control system adapted to zero-carbon buildings, which executes the comprehensive carbon reduction control method adapted to zero-carbon buildings described in any one of the above embodiments, and includes the following modules: A novel movable component module is used to construct an airfoil-shaped sunshade and wind guide component that integrates a front photovoltaic power generation module and a back high-reflectivity coating and is adjustable at multiple angles and positions. The multi-source data acquisition module is used to acquire in real time the component morphology parameters of the airfoil-shaped sunshade and wind guide component and the comprehensive indoor and outdoor sensing environmental data at a certain moment or time period; The multi-mode energy-saving calculation module is used to calculate the energy saving and carbon reduction of the airfoil shading and wind guide component under different component operation modes based on the acquired component morphological parameters, comprehensive indoor and outdoor sensing environmental data, and the actual application scenarios of the building. The multi-objective optimization decision module is used to dynamically weight and calculate the energy saving and carbon reduction of multiple scenarios and modes based on multi-objective optimization theory and adaptive particle swarm optimization algorithm, and determine the corrected component morphology parameters that maximize the overall energy saving and carbon reduction of the building. The execution feedback control module is used to drive the adjustment of the attitude of the airfoil-shaped sunshade and wind guide component based on the obtained correction component morphology parameters, and to record and feed back the adjusted component attitude data in real time to form a closed-loop control.

[0067] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A comprehensive carbon reduction and control method adapted to zero-carbon buildings, characterized in that, include: Step S1: Construct an airfoil-shaped sunshade and wind guide component that integrates a front photovoltaic power generation module and a back high-reflectivity coating and is adjustable at multiple angles and positions; Step S2: Real-time acquisition of the component morphology parameters of the airfoil-shaped sunshade and wind guide components and the comprehensive indoor and outdoor sensing environmental data at a certain moment or time period; Step S3: Based on the obtained component morphology parameters and comprehensive indoor and outdoor sensing environmental data, and adapting to the actual building application scenarios, the energy saving and carbon reduction of the computer airfoil sunshade and wind guide component under different component operation modes; Step S4: Based on multi-objective optimization theory and adaptive particle swarm optimization algorithm, dynamically weighted calculations are performed on the energy saving and carbon reduction amounts obtained in multiple scenarios and modes to determine the corrected component morphology parameters that maximize the overall energy saving and carbon reduction of the building. Step S5: Based on the obtained modified component morphology parameters, drive the adjustment of the airfoil-shaped sunshade and wind guide component attitude, and record the adjusted component attitude data in real time to form a closed-loop control.

2. The comprehensive carbon reduction and control method for adapting to zero-carbon buildings according to claim 1, characterized in that, Real-time acquisition of the component morphological parameters of the airfoil-shaped sunshade and wind guide component, including angle and position, at a certain moment or time period; Real-time acquisition of integrated indoor and outdoor environmental data includes deploying a small outdoor weather station to collect outdoor meteorological data, including temperature (T). O ), humidity (RH) o ), solar radiation intensity (R) s ), wind speed (V) s ), wind direction (W) d ), outdoor air quality (AQI); and indoor monitoring sensors are deployed to monitor indoor temperature (T). i ), humidity (RH) i Illuminance (Lux), CO2 concentration (PPM), and human activity sensing (M).

3. The comprehensive carbon reduction and control method for adapting to zero-carbon buildings according to claim 2, characterized in that, Different component operation modes include photovoltaic power generation mode, component shading mode, enhanced lighting mode, enhanced ventilation mode, irradiation promotion mode, and nighttime ventilation and cold storage mode; The photovoltaic power generation mode calculates the instantaneous photovoltaic power generation based on instantaneous solar radiation, solar incidence angle, component power generation efficiency, installed capacity, and system losses. The component shading mode calculates the instantaneous energy saving generated by the air conditioning system due to shading based on solar radiation, solar incidence angle, shading parameters of external windows and external walls, and the performance coefficient of the building air conditioning system. The enhanced daylighting mode calculates the instantaneous energy saving of the lighting system based on outdoor direct sunlight illuminance, solar incidence angle, reflective coating light reflectivity, component reflective area, exterior window area, and indoor comprehensive diffuse reflection coefficient. The enhanced ventilation mode calculates the instantaneous energy saving generated by natural ventilation in the air conditioning system based on outdoor wind speed, wind direction, ventilation opening size, component deflection angle, distance between component and ventilation opening, and indoor and outdoor temperature difference. The irradiation promotion mode calculates the instantaneous energy saving generated by the heating system due to solar irradiation based on solar radiation, solar incidence angle, irradiation parameters of external windows and external walls, and the performance coefficient of the building heating system. The nighttime ventilation and cold storage mode calculates the total energy saved by the air conditioning system due to nighttime cold storage based on outdoor wind speed, wind direction, ventilation opening size, component deflection angle, indoor heat storage body temperature, and thermal parameters.

4. The comprehensive carbon reduction and control method for adapting to zero-carbon buildings according to claim 3, characterized in that, The formulas for calculating the energy saving and carbon reduction of airfoil-shaped sunshade and air guiding components under different component operating modes are expressed as follows: The formula for calculating energy saving and carbon reduction under photovoltaic power generation mode is expressed as follows: ； The formula for calculating energy saving and carbon reduction under component shading mode is expressed as follows: ； The formula for calculating energy saving and carbon reduction under enhanced lighting mode is expressed as follows: ； The formula for calculating energy savings and carbon reduction under enhanced ventilation mode is expressed as follows: ； The formula for calculating energy saving and carbon reduction under irradiation-enhanced mode is expressed as follows: ； The formula for calculating energy saving and carbon reduction under nighttime ventilation and cold storage mode is as follows: ； In the formula, Q For component installed capacity, Ri This represents the instantaneous amount of solar radiation. θi The instantaneous angle of solar incidence. ηe For the power generation efficiency of the components, ηs For system losses, Sg 1. Sg 2 represents the shading / irradiance area of ​​the exterior window. Tg The light transmittance of the exterior window. Sw 1. Sw 2 represents the external wall shading / irradiation area. Kw The heat transfer coefficient of the exterior wall. MC The coefficient of performance (COP) of the air conditioning system. Lxd Outdoor direct sunlight illuminance, γs The light reflectivity of the reflective coating, Se The reflective area of ​​the component, SW For the area of ​​the exterior window, γa The indoor diffuse reflectance coefficient, VW Outdoor wind speed, H The height of the ventilation opening. L The vertical distance between the component and the ventilation opening. Wo The width of the ventilation opening. Ti , To Indoor and outdoor temperatures, respectively MH The coefficient of performance (COP) of the heating system. C The specific heat capacity of air, Cx The specific heat capacity of the heat storage body. Mx For the mass of the heat storage body, TH 1. TH 2 represents the wall temperature of the heat storage body.

5. The comprehensive carbon reduction and control method for adapting to zero-carbon buildings according to claim 4, characterized in that, The formula for maximizing the overall energy saving and carbon reduction of a building is expressed as: ； In the formula, C CO2 Reduce the overall carbon footprint of the building. F CO2 It is a carbon emission factor.

6. The comprehensive carbon reduction and control method for adapting to zero-carbon buildings according to claim 5, characterized in that, The operating modes of different components corresponding to the airfoil-shaped sunshade and wind guide components are adapted to the actual application scenarios and working conditions of buildings, including: Under summer air conditioning conditions, the combined components can be used in shading mode, photovoltaic power generation mode, and enhanced daylighting mode. During summer nighttime operation, a nighttime ventilation and cold storage mode is adopted. During the spring and autumn transition season, the combined components can be used in shading mode, photovoltaic power generation mode, enhanced ventilation mode, and enhanced lighting mode. Under winter air conditioning conditions, a combination of irradiation promotion mode, photovoltaic power generation mode and enhanced daylighting mode is used. In addition, photovoltaic power generation is used during the day when there is no human activity.

7. The comprehensive carbon reduction and control method for adapting to zero-carbon buildings according to claim 1, characterized in that, During the real-time acquisition and control of the attitude parameters of the airfoil-shaped sunshade and wind guide components, the parameters that need to be acquired include environmental perception parameters and component operation parameters. The environmental perception parameters include acquiring the current date and time, building geographical location information, and indoor and outdoor environmental data, including indoor and outdoor temperature and humidity, atmospheric pressure, solar radiation illuminance, outdoor wind speed and direction, air quality index, and power grid capacity data. The component operation parameters include acquiring the number of airfoil-shaped sunshade and wind guide components participating in the control, the horizontal rotation angle, vertical rotation angle, rotational angular velocity, start and stop status and start and stop time of each component, and the dwell time of the component at each angular position.

8. The comprehensive carbon reduction and control method for adapting to zero-carbon buildings according to claim 1, characterized in that, The dynamic optimization and control process based on multi-objective optimization theory and adaptive particle swarm optimization algorithm includes the following steps: Based on the real-time acquired environmental sensing parameters and component operation parameters, the energy-saving and carbon-reduction benefits of photovoltaic power generation mode, natural ventilation mode, shading and heat insulation mode, lighting and supplementary lighting mode and nighttime cold storage mode are calculated by using multi-objective optimization theory combined with adaptive particle swarm optimization algorithm. The optimal operation strategy that maximizes the comprehensive energy saving and carbon reduction is selected by dynamic weighted calculation. The optimal operating strategy is parsed into specific component control commands, including the number of components involved in the regulation, the target horizontal / vertical rotation angle, the rotation rate, the start and stop timing, and the position dwell time, which drive the airfoil-shaped sunshade and wind guide components to perform corresponding attitude adjustments. During the component attitude adjustment process, real-time operating data is collected and fed back to the optimization calculation module to dynamically evaluate the carbon reduction efficiency of the current operating strategy. When a better strategy is detected, the component attitude is immediately readjusted, forming an adaptive control mechanism of real-time monitoring, dynamic optimization and closed-loop execution to ensure that the component always operates in the best carbon reduction efficiency state.

9. A comprehensive carbon reduction and control system adapted to zero-carbon buildings, characterized in that, The comprehensive carbon reduction and control method for adapting to zero-carbon buildings as described in any one of claims 1 to 8 includes the following modules: A novel movable component module is used to construct an airfoil-shaped sunshade and wind guide component that integrates a front photovoltaic power generation module and a back high-reflectivity coating and is adjustable at multiple angles and positions. The multi-source data acquisition module is used to acquire in real time the component morphology parameters of the airfoil-shaped sunshade and wind guide component and the comprehensive indoor and outdoor sensing environmental data at a certain moment or time period; The multi-mode energy-saving calculation module is used to calculate the energy saving and carbon reduction of the airfoil shading and wind guide component under different component operation modes based on the acquired component morphological parameters, comprehensive indoor and outdoor sensing environmental data, and the actual application scenarios of the building. The multi-objective optimization decision module is used to dynamically weight and calculate the energy saving and carbon reduction of multiple scenarios and modes based on multi-objective optimization theory and adaptive particle swarm optimization algorithm, and determine the corrected component morphology parameters that maximize the overall energy saving and carbon reduction of the building. The execution feedback control module is used to drive the adjustment of the attitude of the airfoil-shaped sunshade and wind guide component based on the obtained correction component morphology parameters, and to record and feed back the adjusted component attitude data in real time to form a closed-loop control.

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