Near-zero energy consumption community precise planning platform

Abstract

The invention relates to the technical field of intelligent energy-saving planning, in particular to a near-zero-energy-consumption community precise planning platform, which is characterized in that a building environment heat and humidity monitoring module is used for acquiring environment parameters of community buildings, calculating air temperature and humidity gradients, setting humidity permeability coefficients, analyzing the influence of humidity on an aerodynamic environment and acquiring air humidity and wind speed correction data; according to the method, the air temperature and humidity gradient and the humidity permeability coefficient are dynamically monitored, quantitative analysis of humidity on the aerodynamic environment is achieved, and the accuracy of water vapor diffusion and building envelope heat exchange evaluation is improved. Through calculation of air flow density distribution and buoyancy driving force, a complete analysis framework from heat and humidity exchange to air flow backflow is constructed, the air flow backflow path of the building group is optimized, and the calculation precision of heat exchange between buildings is improved. In combination with damp and hot load calculation, load matching of cooling and heating equipment is more accurate, energy waste is reduced, and system stability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent energy-saving planning, and particularly to a precise planning platform for nearly zero-energy communities. Background Art

[0002] The technical field of intelligent energy-saving planning includes research on energy consumption analysis, energy-saving optimization, and intelligent control strategies for buildings, communities, and urban environments. The core content of this technical field includes precise assessment based on building energy consumption models, optimized scheduling of energy utilization, integration of intelligent control systems, and green building design methods. Currently, this technical field is widely applied in aspects such as intelligent buildings, renewable energy utilization, and urban sustainable development planning. The main technical means include building energy consumption prediction based on big data, energy dispatch optimization combined with geographic information systems, and dynamic energy consumption management of intelligent sensor networks. By constructing a data-driven intelligent energy-saving system, this technical field has promoted the development of low-carbon communities and green buildings.

[0003] Among them, a precise planning platform for nearly zero-energy communities refers to a system that realizes precise planning of community-level energy utilization based on technical means such as building energy consumption simulation, optimization calculation, and data analysis. The patent theme covers technical matters such as community building energy consumption data collection, thermal environment parameter analysis, energy supply-demand matching calculation, and formulation of intelligent optimization strategies. The specific methods include using energy consumption simulation methods to analyze the impact of different building layouts on the overall community energy consumption, establishing a thermal environment prediction model based on climate data and building thermal characteristics, calculating the regional energy supply-demand relationship in combination with the energy flow network model, and formulating energy consumption optimization strategies for buildings and distributed energy systems through mathematical optimization methods.

[0004] In the existing technology for building energy consumption optimization, the data collection granularity is relatively coarse, and the effects of humidity penetration and aerodynamic environment are not fully considered, resulting in a large error in heat transfer evaluation and affecting the reliability of thermal environment simulation. The determination of the building air flow return path is inaccurate, unable to effectively quantify the heat transfer process between buildings, and the accuracy of the load matching of cooling and heating equipment is low, making it difficult to dynamically adapt to the changes in the humid and hot environment, resulting in a lag in energy consumption regulation. The optimization of ventilation channels relies on static layout analysis, lacks adaptability to the dynamic changes of environmental loads, and is difficult to fully exert the potential of the intelligent energy-saving system, affecting the development of low-carbon communities and green buildings. Summary of the Invention

[0005] In order to solve the technical problems existing in the prior art, an embodiment of the present invention provides a precise planning platform for nearly zero-energy communities, and the technical solution is as follows: A precise planning platform for nearly zero-energy communities, the system includes: The building environment heat and humidity monitoring module obtains the environmental parameters of community buildings, calculates the air temperature and humidity gradient, sets the humidity penetration coefficient, analyzes the impact of humidity on the aerodynamic environment, and obtains the air humidity and wind speed correction data; The heat and humidity exchange calculation module calls the humidity penetration coefficient, calculates the water vapor diffusion rate and the change value of thermal resistance, analyzes the impact of humidity on the building thermal insulation layer, obtains the corrected air flow velocity according to the air humidity and wind speed correction data, calculates the change trend of heat transfer on the building surface and the energy transfer amount, and obtains the building heat and humidity exchange result; The air flow return path tracking module analyzes the impact of humidity on air flow density based on the heat and humidity exchange result of the building envelope, obtains the change of density gradient, measures the air flow return trend, and forms the main air flow return path of the building complex; The building energy consumption optimization calculation module analyzes the impact of humidity on building heat transfer and equipment load demand based on the main air flow return path of the building complex, and obtains the change data of building heat and humidity load; The intelligent energy-saving planning generation module calculates the equipment energy efficiency adjustment coefficient based on the building heat and humidity load data, optimizes the ventilation channel configuration and the heat and humidity control method of the building envelope, and generates the community energy consumption energy-saving planning result.

[0012] The improvements of the present invention are that the air humidity and wind speed correction data include the air flow velocity correction value, the wind speed change rate, and the humidity penetration influence coefficient; the heat and humidity exchange amount of the building envelope includes the water vapor diffusion rate, the change value of material thermal resistance, and the correction increment of the heat transfer coefficient; the main air flow return path of the community building complex includes the air density change range, the air flow buoyancy driving force, and the air flow return trend; the change information of the building heat and humidity load includes the change value of the cooling load, the change value of the heating load, and the humidity influence coefficient; the community energy consumption energy-saving planning result includes the energy efficiency adjustment coefficient, the dynamic environment load regulation ratio, the optimized configuration of the ventilation channel, and the heat and humidity exchange control method of the building envelope.

[0013] The improvements of the present invention are that the building environment heat and humidity monitoring module includes:

[0014] The air parameter measurement sub-module monitors the air temperature, relative humidity, absolute humidity and dew point temperature of the building envelope of the community building, calculates the air temperature and humidity gradient, numerically compares the temperature and humidity change ranges of different regions according to the temperature and humidity gradient, sets the initial humidity penetration reference value of the building envelope, and generates the air temperature and humidity gradient;

[0015] The humidity penetration calculation sub-module sets the humidity penetration reference value of the building envelope based on the air temperature and humidity gradient, calls the material parameters of the building envelope, analyzes the influence of the humidity penetration reference value on the material humidity penetration rate, calculates the humidity penetration coefficient of the building envelope, and generates the humidity penetration influence coefficient;

[0016] The air flow velocity correction sub-module calls the air flow velocity and wind direction data of the community meteorological monitoring point, analyzes the effect of humidity penetration on the aerodynamic environment according to the humidity penetration influence coefficient, calculates the change rate of humidity penetration on the local wind speed, and generates the air humidity and wind speed correction data.

[0017] The improvement of the present invention is that the heat and moisture exchange calculation module includes:

[0018] The water vapor diffusion measurement sub-module analyzes the influence of the humidity penetration of building materials on water vapor diffusion based on the humidity penetration influence coefficient, combines the material property parameters and the environmental temperature and humidity conditions, evaluates the effect of water vapor penetration on the exterior wall insulation layer and the roof insulation layer, obtains the change trend of humidity penetration of the exterior wall and the roof, and generates the water vapor diffusion rate;

[0019] The building heat transfer characteristic calculation sub-module calculates the change value of the material thermal resistance based on the water vapor diffusion rate, analyzes the effect of humidity penetration on the heat transfer performance of the building envelope, calls the air humidity and wind speed correction data to calculate the corrected change amount of the air flow velocity, and obtains the corrected air heat transfer coefficient according to the building surface roughness;

[0020] The heat and moisture energy transfer calculation sub-module analyzes the change trend of heat transfer of the exterior wall and the roof based on the building surface heat transfer coefficient, calculates the water vapor evaporation rate, calls the air temperature and humidity gradient according to the influence of the air humidity change on the indoor air enthalpy value, calculates the energy transfer amount in the heat and moisture interaction process, and obtains the heat and moisture exchange result of the building envelope.

[0021] The improvement of the present invention is that for calculating the water vapor evaporation rate E v , the formula is used:

[0022]

[0023] Where h r is the corrected building surface heat transfer coefficient, ψ i is the indoor water vapor partial pressure, ψ o is the outdoor water vapor partial pressure, S m is the moisture absorption rate of building materials, T i represents the indoor air temperature, T o represents the outdoor air temperature, ρ w represents the water vapor density, d m represents the thickness of the building envelope, and AH represents the absolute humidity of the air.

[0024] The improvements of the present invention are as follows. The airflow reflux path tracking module includes:

[0025] Based on the heat and moisture exchange results of the building envelope structure, the air density distribution calculation sub-module analyzes the influence of humidity on the air density distribution in the community, combines the environmental temperature and humidity parameters, calculates the variation range of air density in each spatial region, analyzes the gradient distribution characteristics of air density, and obtains the air density change interval;

[0026] Based on the air density change interval, the buoyancy driving force analysis sub-module combines the air humidity and wind speed correction data, calculates the change value of the buoyancy driving force under each air density gradient, evaluates the regulation effect of humidity on the buoyancy driving force, and obtains the corrected result of the airflow buoyancy driving force;

[0027] Based on the corrected result of the airflow buoyancy driving force, the airflow reflux analysis sub-module between buildings analyzes the reflux trend of the airflow in the building complex, selects the main airflow path in combination with the spatial distribution characteristics of the community building complex, measures the reflux rate and stability of the airflow between buildings, and obtains the main airflow reflux path of the community building complex.

[0028] The improvements of the present invention are as follows. For calculating the change value F of the buoyancy driving force under each air density gradient b,c , the formula is adopted:

[0029]

[0030] where g is the acceleration due to gravity, ρ o is the outdoor air density, ρ i is the indoor air density, β b is the buoyancy correction coefficient, is the regional air density gradient, γ f is the wind speed correction factor, V w is the wind speed.

[0031] The improvements of the present invention are as follows. The building energy consumption optimization calculation module includes:

[0032] Based on the main airflow reflux path of the community building complex, the airflow heat exchange effect determination sub-module analyzes the influence of the airflow reflux on the heat transfer coefficient of each building surface, combines the building envelope structure material parameters to calculate the variation range of the heat transfer coefficient under each airflow condition, analyzes the correction effect of the airflow reflux on the building heat exchange process, and obtains the building heat transfer coefficient adjustment parameter;

[0033] The building heat exchange ratio calculation sub-module calculates the heat exchange ratio of each building based on the building heat exchange coefficient adjustment parameter, combines the heat conduction characteristics of the exterior wall and the roof, measures the heat exchange amount of the building envelope structure under each environmental condition, calculates the weight of the role of each building heat exchange ratio in the overall energy consumption distribution, and obtains the building heat exchange ratio parameter;

[0034] The humidity and heat load regulation analysis sub-module analyzes the influence of humidity change on the load demand of the cooling and heating equipment based on the building heat exchange ratio parameter, measures the adjustment demand of the humidity and heat environment change on the equipment operation parameters, calculates the load regulation range of the energy supply equipment under each humidity environment, and obtains the building humidity and heat load change data.

[0035] The present invention is improved in that for calculating the change amplitude h of the heat exchange coefficient under each air flow condition r , the formula is adopted:

[0036]

[0037] wherein, h0 is the reference heat exchange coefficient, γ h,r is the air flow heat exchange correction coefficient, V f,r is the air flow velocity, α v is the wind speed non-linear index, β h,t is the turbulence influence correction factor, k t is the turbulent kinetic energy, α k is the turbulence index, ζ s is the surface roughness correction factor, ∈ s is the building surface roughness.

[0038] The present invention is improved in that the intelligent energy-saving planning generation module includes:

[0039] The equipment energy efficiency adjustment calculation sub-module calculates the operation efficiency of the cooling and heating equipment under each humidity condition based on the building humidity and heat load change data, combines the equipment parameters to measure the influence of humidity change on the equipment load, calculates the energy supply efficiency correction value under each humidity condition, and matches the equipment operation parameters with the humidity environment to obtain the cooling and heating equipment energy efficiency adjustment coefficient;

[0040] The environmental load regulation measurement sub-module calculates the energy matching degree of the ventilation equipment and the dehumidification equipment based on the cooling and heating equipment energy efficiency adjustment coefficient, analyzes the influence of the humidity and heat environment on the energy supply system load according to the dynamic environmental load regulation ratio, measures the load regulation ratio of humidity, air flow return path and cooling and heating equipment, and obtains the dynamic environmental load regulation parameter;

[0041] Based on the dynamic environment load adjustment parameters, the building layout optimization configuration sub-module analyzes the influence of humidity and the return path of hot air flow on the energy consumption of the building complex, combines the air flow distribution characteristics and the heat and moisture exchange capacity of the building envelope structure, optimizes the ventilation channel configuration in the building layout, measures the influence of the ventilation structure adjustment on the overall energy consumption, and obtains the energy-saving planning result of the community energy consumption.

[0042] The beneficial effects brought by the technical solutions provided in the embodiments of the present invention at least include:

[0043] In the present invention, by dynamically monitoring the air temperature and humidity gradient and the humidity penetration coefficient, the quantitative analysis of the influence of humidity on the aerodynamic environment is realized, and the accuracy of the evaluation of water vapor diffusion and heat exchange of the building envelope structure is improved. Through the calculation of the air flow density distribution and the buoyancy driving force, a complete analysis framework from heat and moisture exchange to air flow return is constructed, the air flow return path of the building complex is optimized, and the calculation accuracy of heat exchange between buildings is improved. Combined with the calculation of the heat and moisture load, the load matching of the cooling and heating equipment is made more accurate, energy waste is reduced, and the system stability is improved. Based on the energy efficiency adjustment coefficient and the dynamic load adjustment ratio, the energy matching of the cooling and heating, ventilation and dehumidification equipment is optimized, and the energy utilization efficiency is improved. The optimized configuration of the ventilation channel enables the building layout to adapt to the dynamic changes of the environmental load, realizes the refined management of the energy consumption of the building complex, and constructs an efficient energy-saving planning system. Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0045] Figure 1 It is the system flow chart of the present invention;

[0046] Figure 2 It is the sub-module flow chart of the present invention;

[0047] Figure 3 It is the flow chart of the building environment heat and moisture monitoring module of the present invention;

[0048] Figure 4 It is the flow chart of the heat and moisture exchange calculation module of the present invention;

[0049] Figure 5 It is the flow chart of the air flow return path tracking module of the present invention;

[0050] Figure 6 It is the flow chart of the building energy consumption optimization calculation module of the present invention;

[0051] Figure 7Flowchart of the intelligent energy-saving planning generation module of the present invention. Detailed implementation manners

[0052] The technical solutions in the present invention will be described below with reference to the accompanying drawings.

[0053] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as an "example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of the word "example" is intended to present concepts in a specific manner. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two can be selected.

[0054] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same. "(of)", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same.

[0055] In the embodiments of the present invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meanings they express are the same.

[0056] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0057] Please refer to Figure 1 , the present invention provides a technical solution: a precise planning platform for a nearly zero-energy consumption community, and the system includes:

[0058] The building environment heat and humidity monitoring module obtains the environmental parameters of community buildings, calculates the air temperature and humidity gradient, sets the humidity penetration coefficient, analyzes the influence of humidity on the aerodynamic environment, and obtains the air humidity and wind speed correction data;

[0059] The heat and humidity exchange calculation module calls the humidity penetration coefficient, calculates the water vapor diffusion rate and the change value of the thermal resistance, analyzes the influence of humidity on the building thermal insulation layer, obtains the corrected air flow velocity according to the air humidity and wind speed correction data, and calculates the change trend of the heat transfer on the building surface and the energy transfer amount to obtain the building heat and humidity exchange result;

[0060] The air flow return path tracking module analyzes the influence of humidity on the air flow density based on the building envelope heat and humidity exchange result, obtains the change of the density gradient, measures the air flow return trend, and forms the main air flow return path of the building complex;

[0061] Based on the main path of air flow recirculation in the building complex, the building energy consumption optimization calculation module analyzes the influence of humidity on building heat transfer and equipment load demand, and obtains the data of building wet and heat load changes;

[0062] Based on the building wet and heat load data, the intelligent energy-saving planning generation module calculates the equipment energy efficiency adjustment coefficient, optimizes the ventilation channel configuration and the wet and heat regulation method of the building envelope, and generates the community energy consumption energy-saving planning result.

[0063] The air humidity and wind speed correction data includes the air flow velocity correction value, the wind speed change rate, and the humidity penetration influence coefficient. The heat and moisture exchange amount of the building envelope includes the water vapor diffusion rate, the change value of the material thermal resistance, and the correction increment of the heat transfer coefficient. The main path of air flow recirculation in the community building complex includes the air density change range, the air flow buoyancy driving force, and the air flow recirculation trend. The building wet and heat load change information includes the cooling load change value, the heating load change value, and the humidity influence coefficient. The community energy consumption energy-saving planning result includes the energy efficiency adjustment coefficient, the dynamic environmental load regulation ratio, the optimized configuration of the ventilation channel, and the wet and heat exchange regulation method of the building envelope.

[0064] Please refer to Figure 2 and Figure 3 , the building environment heat and moisture monitoring module includes:

[0065] The air parameter measurement sub-module monitors the air temperature, relative humidity, absolute humidity, and dew point temperature of the building envelope of the community buildings, calculates the air temperature and humidity gradient, numerically compares the temperature and humidity change ranges of different regions according to the temperature and humidity gradient, sets the initial humidity penetration reference value of the building envelope, and generates the air temperature and humidity gradient;

[0066] The air parameter measurement sub-module first collects the air temperature, relative humidity, absolute humidity, and dew point temperature of the building envelope of the community buildings. The collected air parameter data needs to come from multiple measurement points distributed inside and outside the building envelope. Each measurement point needs to be equipped with a temperature sensor (such as a Pt100 thermal resistance temperature sensor), a humidity sensor (such as a polymer capacitive humidity sensor), and a data acquisition device. The air temperature and humidity data of different regions are obtained through periodic measurement and stored in the monitoring database. The calculation of the air temperature and humidity gradient is based on the air temperature and relative humidity of different measurement points. First, calculate the temperature and humidity difference between adjacent measurement points. The temperature difference calculation method is the temperature difference between two measurement points. For example, if the temperature of measurement point A is 25.3 °C and the temperature of measurement point B is 24.1 °C, then the temperature difference ΔT = 25.3 - 24.1 = 1.2 °C. The calculation of the humidity gradient involves the absolute humidity, which can be calculated from the air temperature and relative humidity. Assume that the relative humidity of measurement point A is 55% and the temperature is 25.3 °C, then the absolute humidity is calculated as follows:

[0067]

[0068] Among them, T = 25.3 °C, RH = 55%, and the calculated results are as follows:

[0070]

[0071] Basis for setting the threshold of temperature and humidity gradient:

[0072] The change of temperature and humidity gradient can affect the humidity penetration of building envelopes. To define whether there are significant temperature and humidity changes, it is necessary to set the threshold of temperature and humidity gradient. This threshold is set according to the material characteristics of the building envelope and the requirements of temperature and humidity stability. Different materials have different tolerances to humidity gradients, and statistical analysis is usually carried out through long-term monitoring data.

[0073] For concrete walls: Set the threshold of temperature and humidity gradient as ΔT > 2 °C or ΔAH > 3 g / m 3 , exceeding this threshold indicates a large temperature and humidity change;

[0074] For brick wall envelopes: Set ΔT > 3 °C or ΔAH > 4 g / m 3 , such envelopes are more sensitive to humidity changes;

[0075] For lightweight thermal insulation materials (such as foam concrete, glass wool): Set ΔT > 1 °C or ΔAH > 2 g / m 3 .

[0076] Assume that the temperature and humidity gradient at measuring point A is ΔT = 2.5 °C, ΔAH = 3.5 g / m 3 , then it meets the threshold of temperature and humidity gradient of concrete walls, mark this area as a significantly temperature and humidity changing area, and store it in the database.

[0077] The humidity penetration calculation sub-module sets the humidity penetration reference value of the building envelope based on the air temperature and humidity gradient, calls the material parameters of the building envelope, analyzes the influence of the humidity penetration reference value on the material humidity penetration rate, calculates the humidity penetration coefficient of the building envelope, and generates the humidity penetration influence coefficient;

[0078] The humidity penetration calculation sub-module first sets the humidity penetration reference value of the building envelope according to the aforementioned air temperature and humidity gradient matrix. The setting of the reference value is based on the moisture transmittance of the envelope material, that is, the water vapor permeability P m (unit: g / (m·h·Pa)). Assume that a certain building exterior wall uses concrete, and its permeability P m = 0.03 g / (m·h·Pa), then calculate the humidity penetration rate based on the air humidity gradient and the material characteristics of the envelope:

[0079]

[0080] Among them, ΔP is the water vapor partial pressure difference (Pa), d is the thickness of the building envelope (m). Assuming the indoor water vapor partial pressure is 1500 Pa, the outdoor is 900 Pa, and the thickness of the building envelope is 0.2 m, the calculation is as follows:

[0081] J m = 0.03×(1500 - 900) / 0.2 = 0.09 g / (m 2 ·h);

[0082] Basis for setting the humidity penetration influence coefficient:

[0083] The humidity penetration influence coefficient is used to measure the influence of humidity penetration on the material properties. This coefficient is set based on the humidity absorption rate and water vapor permeability of the material, and the following standards are adopted:

[0084] If J m <0.1 g / (m 2 ·h), it is defined as low penetration, and the humidity penetration influence coefficient K m = 0.8;

[0085] If 0.1 ≤ J m <0.5 g / (m 2 ·h), it is defined as medium penetration, and the humidity penetration influence coefficient K m = 1.0;

[0086] If J m ≥ 0.5 g / (m 2 ·h), it is defined as high penetration, and the humidity penetration influence coefficient K m = 1.5.

[0087] In this example, J m = 0.09 g / (m 2 ·h), so the humidity penetration influence coefficient is set as K m = 0.8 and stored in the database.

[0088] The air flow velocity correction sub-module calls the air flow velocity and wind direction data of the community meteorological monitoring point, analyzes the effect of humidity penetration on the aerodynamic environment according to the humidity penetration influence coefficient, calculates the change rate of the local wind speed caused by humidity penetration, and generates the air humidity and wind speed correction data;

[0089] The air flow velocity correction sub-module first calls the air flow velocity and wind direction data of the community meteorological monitoring point. The wind speed is measured by an ultrasonic anemometer or a cup anemometer, and the wind direction is measured by a wind vane. Assuming the monitoring data is as follows:

[0090] Table 1 Wind speed data of the community meteorological monitoring point

[0091]

[0092]

[0093] Analyze the effect of humidity penetration on the aerodynamic environment based on the humidity penetration influence coefficient. The change rate R of the local wind speed caused by humidity penetration is calculated as follows:

[0094]

[0095] where V a is the local air volume (m3), K v is the wind speed correction factor, and K v According to the humidity penetration influence coefficient K m Set: If K m = 0.8, set K v = 1.2; if K m = 1.0, set K v = 1.5; if K m = 1.5, set K v = 2.0.

[0096] In this example, K m = 0.8, so take K v = 1.2. Substitute into the calculation:

[0097]

[0098] Finally, calculate the wind speed correction value and store it in the database to generate the air humidity wind speed correction data.

[0099] Please refer to Figure 2 and Figure 4 , the heat and moisture exchange calculation module includes:

[0100] The water vapor diffusion measurement sub-module analyzes the influence of the humidity penetration of building materials on water vapor diffusion based on the humidity penetration influence coefficient, combines the material property parameters and the environmental temperature and humidity conditions, evaluates the effect of water vapor penetration on the external wall insulation layer and the roof insulation layer, obtains the change trend of the humidity penetration of the external wall and the roof, and generates the water vapor diffusion rate;

[0101] The water vapor diffusion measurement sub-module first calls the humidity penetration influence coefficient K m , and calculates the influence of humidity penetration on water vapor diffusion according to the humidity penetration characteristics of different building materials. This influence is closely related to the porosity, hygroscopicity and water vapor conductivity of the materials. First, obtain the physical parameters of the building materials, such as the porosity φ p (unit: %), the water vapor conductivity D v (unit: m 2 / s) and the moisture absorption rate S m (unit: g / m 2 ·h). Assume that the φ of a certain external wall materialp = 30%, D v = 5.4×10 -10 m 2 / s, S m = 0.15g / m 2 ·h, then calculate the water vapor transmission capacity after adjusting the water vapor penetration influence coefficient:

[0102]

[0103] Among them, K m = 0.8, this value is set based on the humidity penetration characteristics, and its setting is based on the humidity permeability of the enclosure structure material. This value is adjusted according to the change of water vapor permeability and material density. When the material density is high (such as concrete, about 2300 kg / m 3 ), K m takes a lower value, and the range is 0.6 - 0.8. When the material density is low (such as insulation board, about 600 kg / m 3 ), K m the value range is increased to 1.2 - 1.5. Assume that in this example, the material density ρ m = 1800 kg / m 3 , and linear interpolation is used for calculation:

[0104]

[0105] Substitute into the calculation:

[0106]

[0107] Subsequently, combined with the external environmental temperature and humidity conditions, calculate the water vapor diffusion rate, and evaluate the impact of water vapor penetration on the enclosure structure based on the water vapor diffusion threshold. This threshold is set based on the water vapor diffusion rate J d :

[0108] If J d < 1.0×10 -6 g / (m 2 ·s), the water vapor diffusion is weak;

[0109] If 1.0×10 -6 ≤ J d < 5.0×10 -6 g / (m 2 ·s), the water vapor diffusion is medium;

[0110] If J d ≥ 5.0×10 -6 g / (m 2 ·s), the water vapor diffusion is strong.

[0111] This threshold setting is based on the experimentally determined water vapor permeability and the tolerance range of the building envelope to humidity changes. For different materials, the threshold adjustment method is as follows:

[0112] Brick wall: J d Lower than 1.5×10 -6 Is classified as low diffusion;

[0113] Lightweight insulation layer: J d Higher than 4.0×10 -6 Is then classified as high diffusion;

[0114] Reinforced concrete structure: J d Lower than 0.5×10 -6 Can still be ignored.

[0115] Assume that in this example, J d = 3.11×10 -6 g / (m 2 ·s), which corresponds to the medium water vapor diffusion situation. Finally, the change trend of humidity penetration in the exterior wall and roof is obtained, and the water vapor diffusion rate is calculated.

[0116] The building heat transfer characteristic calculation sub-module calculates the change value of the material thermal resistance based on the water vapor diffusion rate, analyzes the effect of humidity penetration on the heat transfer performance of the building envelope, calls the air humidity and wind speed correction data to calculate the corrected air velocity change amount, and obtains the air heat transfer coefficient correction increment according to the building surface roughness to obtain the building surface heat transfer coefficient;

[0117] The building heat transfer characteristic calculation sub-module calculates the change value of the material thermal resistance based on the water vapor diffusion rate and corrects the thermal conductivity of the material. The formula for correcting the thermal conductivity is as follows:

[0118]

[0119] Among them, α is the influence factor of water vapor diffusion on the thermal conductivity, and this factor is set according to the experimentally determined water vapor influence range: if J d <1.0×10 -6 , take α = 30; if 1.0×10 -6 ≤J d <5.0×10 -6 , take α = 50; if J d ≥5.0×10 -6 , take α = 80.

[0120] In this example, J d = 3.11×10 -6 , look up the table to get α = 50, and substitute it into the calculation:

[0121]

[0122] Subsequently, the air heat transfer coefficient h r is calculated as follows:

[0123]

[0124] Among them, the setting of Δh is based on the surface roughness of the building, and the specific values are as follows:

[0125] If the surface is smooth (roughness < 0.1mm), take Δh = 2.0W / (m 2 ·K);

[0126] If the surface is moderately rough (roughness 0.1 - 1.0mm), take Δh = 3.5W / (m 2 ·K);

[0127] If the surface is relatively rough (roughness > 1.0mm), take Δh = 5.0W / (m 2 ·K).

[0128] In this example, it is assumed that the wall roughness is 0.8mm. Looking up the table, Δh = 3.5W / (m 2 ·K), and the final calculation:

[0129]

[0130] Finally, the heat transfer coefficient of the building surface is obtained.

[0131] The heat and moisture energy transfer calculation sub-module analyzes the changing trends of heat transfer in the exterior walls and roof based on the building surface heat transfer coefficient, calculates the water vapor evaporation rate, and according to the influence of the change in air humidity on the indoor air enthalpy value, calls the air temperature and humidity gradient to calculate the energy transfer amount during the heat and moisture interaction, and obtains the heat and moisture exchange results of the building envelope;

[0132] The heat and moisture energy transfer calculation sub-module first calculates the heat transfer in the exterior walls and roof according to the building surface heat transfer coefficient h r and calculates the water vapor evaporation rate E v The change in air humidity needs to be considered, and the optimized evaporation rate calculation formula is adopted:

[0133]

[0134] Among them, h r represents the corrected building surface heat transfer coefficient, ψ i represents the indoor water vapor partial pressure, ψ o represents the outdoor water vapor partial pressure, S m represents the moisture absorption rate of the building material, T i represents the indoor air temperature, T o represents the outdoor air temperature, ρ w represents the water vapor density (kg / m3 ),d m represents the thickness of the building envelope, and AH represents the absolute humidity of air (g / m 3 ), the square root operation symbol is used to consider the influence of temperature difference on the evaporation rate, the absolute humidity term of air in the denominator ensures the numerical stability of the calculation, the product term of water vapor density and thickness corrects the contribution of the material structure to the water vapor evaporation, optimizes the calculation logic of the evaporation rate, assuming ρ w = 0.0173 kg / m 3 , d m = 0.2 m, AH = 11.43 g / m 3 , substitute into the calculation:

[0135]

[0136] E v = 2365.52 + 0.000278 = 2365.52 W / m 2 ;

[0137] Subsequently, calculate the influence of the change in air enthalpy value on the heat and moisture interaction process, and use the optimized air enthalpy value calculation formula:

[0138]

[0139] Among them, C p represents the specific heat capacity of air (kJ / (kg·K)), T i represents the indoor air temperature, L w represents the latent heat of vaporization of water (J / kg), AH represents the absolute humidity of air, φ p represents the porosity of building materials (%), R a represents the air gas constant (J / (kg·K)), ψ i represents the indoor water vapor partial pressure, M a represents the molar mass of air (kg / mol), C w represents the specific heat capacity of water (J / (kg·K)), d m represents the thickness of the building envelope, the square root operation symbol is used to simulate the non-linear influence of temperature difference on the air enthalpy value, the ratio of the air gas constant to the indoor water vapor partial pressure corrects the contribution of air molecule movement to the enthalpy value, and the specific heat capacity term introduced in the denominator optimizes the stability of the enthalpy value calculation, assuming R a = 287 J / (kg·K), M a = 28.97 kg / kmol, C w = 4186 J / (kg·K), substitute into the calculation:

[0140]

[0141] H v = 22.11 + 27502.81 + 11879.57 - 232.23 = 39172.26 J / kg;

[0142] Calculate the energy transfer amount through the enthalpy change, and adopt the optimized energy transfer formula:

[0143]

[0144] Among them, Q h represents the heat and moisture exchange amount of the building envelope structure (W), ρ represents the air density (kg / m 3 ), V c represents the corrected wind speed (m / s), S m represents the moisture absorption rate of the material (g / m 2 ·h). The square root operation symbol is used to correct the influence of the temperature gradient on the energy transfer. The moisture absorption rate term adjusts the contribution of air humidity to the energy transfer to ensure the stability of the calculation logic. Assume ρ = 1.2 kg / m 3 , V c = 2.5003 m / s, substitute into the calculation:

[0145]

[0146] Q h = 117520.59×(1 + 0.0416) = 117520.59×1.0416;

[0147] Q h = 122414.94 W;

[0148] Finally, obtain the heat and moisture exchange result of the building envelope structure.

[0149] Please refer to Figure 2 and Figure 5 , the air flow reflux path tracking module includes:

[0150] The air density distribution calculation sub-module analyzes the influence of humidity on the air flow density distribution in the community based on the heat and moisture exchange result of the building envelope structure, combines the environmental temperature and humidity parameters, calculates the change range of air density in each spatial region, analyzes the gradient distribution characteristics of air density, and obtains the air density change interval;

[0151] The air density distribution calculation sub-module first obtains the temperature and humidity change data of each spatial region inside the building based on the heat and moisture exchange result of the building envelope structure, extracts the temperature T(x, y, z) and relative humidity RH(x, y, z) as the input parameters for air density calculation. The air density ρ of each spatial region i(x, y, z) is calculated through the air state equation. When calculating the change range of air density, the corrected air density needs to be determined based on the change amounts of pressure P, temperature T, and humidity RH. The air density ρ0 under standard conditions is 1.225 kg / m 3 As a reference, calculate the air density correction value:

[0152]

[0153] where γ h is the altitude correction factor, which is used to correct the influence of altitude H on the air density calculation. The value of this factor is set according to the relationship between air density and altitude in the standard atmosphere environment, and its value range is 0.00012 - 0.00018. When the altitude H ≤ 500 m, set γ h = 0.00012, this value is set based on the air density reduction of about 1.5% within 500 m. When the altitude 500 < H ≤ 1500 m, set γ h = 0.00015, this value is calculated based on the air density reduction of about 3.8%. When the altitude H > 1500 m, set γ h = 0.00018, this value is based on the air density reduction of about 5.5% in high altitude areas. Assume that the altitude H of a certain area is 1200 m, then look up the table to get γ h = 0.00015, correct the altitude influence when calculating the air density, and finally obtain the air density change range.

[0154] The buoyancy driving force analysis sub-module calculates the change value of the buoyancy driving force under each air density gradient based on the air density change range, combines the air humidity and wind speed correction data, evaluates the regulation effect of humidity on the buoyancy driving force, and obtains the corrected result of the air flow buoyancy driving force;

[0155] The buoyancy driving force analysis sub-module first calculates the influence of the air density gradient on the buoyancy driving force based on the air density change range. The buoyancy driving force is calculated using the following formula:

[0156]

[0157] where β b is the buoyancy correction coefficient, which is used to adjust the influence of the air density gradient on the buoyancy driving force. Its value is set according to the air density distribution characteristics in different height ranges of the building, and the value range is 0.8 - 1.2. If the air density gradient then set β b = 0.8, this value is set based on the air flow stability of low-rise buildings (within 10 m). When set β b = 1.0, this value is applicable to mid-rise buildings (10 - 30 m). When When, set β b = 1.2, this value is applicable to high-rise buildings (>30m) to reflect stronger buoyancy effects. Assuming the air density gradient in a certain area Then, look up the table to get β b = 1.0, calculate the buoyancy driving force correction value:

[0158] F b,c = 9.81×10×(1.225 - 1.184)×

[0159] (1 + 1.0×0.01 + 0.08×2.5);

[0160] F b,c = 4.02×(1 + 0.01 + 0.20) = 4.86N;

[0161] Finally, obtain the corrected result of the air flow buoyancy driving force.

[0162] The air flow recirculation analysis sub-module between buildings analyzes the recirculation trend of the air flow in the building complex based on the corrected result of the air flow buoyancy driving force, selects the main air flow path in combination with the spatial distribution characteristics of the community building complex, measures the recirculation rate and stability of the air flow between buildings, and obtains the main air flow recirculation path of the community building complex;

[0163] The air flow recirculation analysis sub-module between buildings first analyzes the recirculation trend of the air flow between the building complexes based on the corrected result of the air flow buoyancy driving force, and calls the air flow velocity V f Calculate the change in the air flow velocity between buildings:

[0164]

[0165] where γ t,k is the turbulence correction coefficient, which is used to reflect the influence of the turbulence intensity on the air flow recirculation rate between the building complexes. Its setting is based on the wind speed between buildings and the distribution of obstacles, and the value range is 0.05 - 0.15. If the turbulence intensity T v < 0.1, then set γ t,k = 0.05, this value is applicable to areas with low wind speed and few obstacles (wind speed < 2m / s). If 0.1 ≤ T v < 0.3, set γ t,k = 0.1, this value is applicable to the medium wind speed area (2 - 4m / s). If T v ≥ 0.3, set γ t,k = 0.15, this value is applicable to the high wind speed or high turbulence area (> 4m / s). Assuming the turbulence intensity T v = 0.2, then look up the table to get γ t,k = 0.1, calculate the change in the air flow velocity:

[0166]

[0167] ΔV f,r = 0.547 m / s;

[0168] The return flow rate of the airflow between buildings is calculated using the corrected flow velocity V f,r :

[0169] V f,r = V f,0 + ΔV f,r ;

[0170] Let the initial airflow velocity V f,0 = 1.2 m / s, substitute into the calculation:

[0171] V f,r = 1.2 + 0.547 = 1.747 m / s;

[0172] Combined with the spatial distribution characteristics of the building complex, select the main airflow flow path, calculate the stability of the airflow between buildings, and the stability assessment uses the turbulent kinetic energy k t Calculate:

[0173]

[0174] Among them, γ k is the turbulent kinetic energy correction factor, which is used to adjust the calculation result of the turbulent kinetic energy, set according to the building height and wind speed, and the value range is 0.05 - 0.2. Assume that the previously calculated turbulent kinetic energy K v = 1.62 J / m 3 , then look up the table to get γ k = 0.2, and finally calculate:

[0175]

[0176] Finally, obtain the main path of the airflow return in the community building complex.

[0177] Please refer to Figure 2 and Figure 6 , the building energy consumption optimization calculation module includes:

[0178] The air flow heat transfer effect measurement sub-module is based on the main path of the air flow return in the community building complex, analyzes the influence of the air flow return on the heat transfer coefficient of each building surface, combines the building envelope structure material parameters to calculate the change range of the heat transfer coefficient under each air flow condition, analyzes the correction effect of the air flow return on the building heat exchange process, and obtains the building heat transfer coefficient adjustment parameters;

[0179] The air flow heat transfer effect measurement sub-module first obtains the air flow characteristic parameters on the building surface based on the main path of the air flow return in the community building complex, including the air flow velocity V f,r , the turbulent kinetic energy k t and the building surface characteristic parameter ∈s (Surface roughness) and λ m (Thermal conductivity), based on the influence of air flow impact on the heat transfer of the building surface, calculate the change range of the heat transfer coefficient under each air flow condition, and the calculation formula is as follows:

[0180]

[0181] Among them, h0 is the reference heat transfer coefficient, and the value of this parameter is set according to the surface characteristics of the building material. The setting range is 10 - 20 W / (m 2 ·K), and the specific value is based on the surface roughness ∈ s . When ∈ s < 0.5 mm (smooth surface), set h0 = 10 W / (m 2 ·K). When 0.5 ≤ ∈ s < 2.0 mm (medium roughness), set h0 = 15 W / (m 2 ·K). When ∈ s ≥ 2.0 mm (rough surface), set h0 = 20 W / (m 2 ·K). Assume that the surface of a certain building is ordinary concrete ∈ s = 1.2 mm, then h0 = 15 W / (m 2 ·K);

[0182] γ h,r is the air flow heat transfer correction coefficient, which is used to correct the influence of wind speed on heat transfer. The value range is 2.5 - 4.5, and it is set according to the air flow velocity. When V f,r < 1.5 m / s, set γ h,r = 2.5. When 1.5 ≤ V f,r < 3.0 m / s, set γ h,r = 3.5. When V f,r ≥ 3.0 m / s, set γ h,r = 4.5. Assume that V f,r = 1.747 m / s, and look up the table to get γ h,r = 3.5;

[0183] β h,t is the turbulence influence correction factor, which is used to adjust the influence of turbulence intensity on heat transfer. The value range of this factor is 0.2 - 0.6, and it is set according to the surface roughness of the building. When ∈ s < 0.5 mm, set β h,t = 0.2. When 0.5 ≤ ∈ s < 2.0 mm, set β h,t = 0.4. When ∈ s ≥ 2.0 mm, set β h,t = 0.6. Assume that ∈ s = 1.2 mm, and look up the table to get βh,t = 0.4;

[0184] Substitute the known k t = 1.80 J / m3 to calculate the heat transfer coefficient:

[0185] h r = 15 + 3.5×1.747 1.05 + 0.4×1.80 1.1 + 0.3×1.2;

[0186] h r = 15 + 6.21 + 0.44 + 0.36 = 22.01 W / (m 2 ·K);

[0187] Finally, obtain the adjustment parameter of the building heat transfer coefficient.

[0188] The building heat transfer ratio calculation sub-module calculates the heat transfer ratio of each building based on the building heat transfer coefficient adjustment parameter, combines the heat conduction characteristics of the exterior wall and the roof, measures the heat transfer amount of the building envelope under each environmental condition, calculates the weight of the heat transfer ratio of each building in the overall energy consumption distribution, and obtains the building heat transfer ratio parameter;

[0189] The building heat transfer ratio calculation sub-module first calculates the building heat transfer ratio η r , based on the building heat transfer coefficient adjustment parameter h h , and the calculation formula is as follows:

[0190]

[0191] where λ h,r is the heat transfer ratio index, which is used to adjust the weight of different building heat transfer parameters in the overall heat transfer distribution. The value range of this index is 0.9 - 1.1. Assume λ h,r = 1.05, and substitute it into the calculation:

[0192]

[0193] Finally, obtain the building heat transfer ratio parameter.

[0194] The wet and heat load regulation analysis sub-module analyzes the influence of humidity change on the load demand of the cooling and heating equipment based on the building heat transfer ratio parameter, measures the regulation demand of the wet and heat environment change on the equipment operation parameters, calculates the load regulation range of the energy supply equipment under each humidity environment, and obtains the building wet and heat load change data;

[0195] The wet and heat load regulation analysis sub-module calculates the influence of humidity change on the load demand of the cooling and heating equipment based on the building heat transfer ratio parameter η h , and the calculation formula is as follows:

[0196]

[0197] Among them, μ t is the temperature gradient correction exponent, which is used to adjust the influence of temperature changes at different building heights. Its value range is 0.95 - 1.05. Assume μ t = 1.02 and substitute it into the calculation:

[0198]

[0199] ΔP s = 0.1113 × 430.57 1.02 × 1005 = 51791.62 W;

[0200] Calculate the regulation range ΔP of the humid and thermal load of the energy supply equipment h :

[0201]

[0202] Among them, γ m,h is the humidity load correction coefficient, which is used to adjust the influence of humidity on the load regulation. The value range of this parameter is 0.02 - 0.08. When the humidity change W m < 5 g / kg, set γ m,h = 0.02. When 5 ≤ W m < 10 g / kg, set γ m,h = 0.05. When W m ≥ 10 g / kg, set γ m,h = 0.08. Assume W m = 7 g / kg, and look up the table to get γ m,h = 0.05;

[0203] Finally calculate:

[0204] ΔP h = 51791.62 × (1 + 0.05 × 7 1.05 );

[0205] ΔP h = 51791.62 × (1 + 0.364) = 51791.62 × 1.364 = 70649.73 W;

[0206] Finally obtain the data of the change in the humid and thermal load of the building.

[0207] Please refer to Figure 2 and Figure 7 , the intelligent energy-saving planning generation module includes:

[0208] Based on the building's wet and heat load change data, the equipment energy efficiency adjustment calculation sub-module calculates the operating efficiency of the cooling and heating equipment under each humidity condition, combines the equipment parameters to determine the impact of humidity change on the equipment load, calculates the energy supply efficiency correction value under each humidity condition, and matches the equipment operating parameters with the humidity environment to obtain the energy efficiency adjustment coefficient of the cooling and heating equipment;

[0209] First, based on the building's wet and heat load change data, the equipment energy efficiency adjustment calculation sub-module obtains the operating status of the cooling and heating equipment under different humidity conditions, including the load parameter P sys , the refrigeration efficiency COP c , the heating efficiency COP h , and the humidity correction factor γ sys . According to the impact of humidity change on the equipment load, it calculates the operating efficiency of the energy supply equipment and the energy supply efficiency correction value. The calculation formula is as follows:

[0210]

[0211] Among them, η0 is the equipment's reference energy efficiency, which is set according to the equipment type. For centrifugal chillers, η0 = 0.85 is set; for screw chillers, η0 = 0.80 is set; for air-source heat pumps, η0 = 0.78 is set. Assuming the equipment is a screw chiller, then η0 = 0.80

[0212] α p is the load correction coefficient, which is used to adjust the impact of equipment load on energy efficiency. Its value range is 0.01 - 0.05. When the equipment load is low (P sys <50%), α p is set to 0.01. When 50% ≤ P sys <80%, α p is set to 0.03. When P sys ≥80%, α p is set to 0.05. Assuming the equipment load P sys = 67%, looking up the table, α p = 0.03;

[0213] λ sys is the load index, which is used to adjust the impact of load on energy efficiency. Its value range is 0.9 - 1.1. When P sys <50%, λ sys is set to 0.95. When 50% ≤ P sys <80%, λ sys is set to 1.05. When P sys ≥80%, λ sys is set to 1.1. Assuming the equipment load P sys = 67% in this example, then λ sys= 1.05;

[0214] γ sys is the humidity correction factor, which is used to adjust the impact of humidity on the energy efficiency of the equipment. Its value range is 0.02 - 0.08. When the humidity changes by W sys <5 g / kg, set γ sys = 0.02. When 5 ≤ W sys <10 g / kg, set γ sys = 0.05. When W sys ≥10 g / kg, set γ sys = 0.08. Assume W sys = 7 g / kg, look up the table to get γ sys = 0.05;

[0215] Substitute into the calculation:

[0216] η sys = 0.80 + 0.03×0.67 1.05 + 0.05×3.8 1.02 + 0.05×3.5 1.03 + 0.05×7 1.05 = 0.80 + 0.0202 + 0.1951 + 0.1792 + 0.364 = 1.5585;

[0217] Finally, obtain the energy efficiency adjustment coefficient of the cooling and heating equipment.

[0218] The environmental load regulation measurement sub-module calculates the energy matching degree of the ventilation equipment and the dehumidification equipment based on the energy efficiency adjustment coefficient of the cooling and heating equipment, analyzes the impact of the humid and hot environment on the load of the energy supply system according to the dynamic environmental load regulation ratio, measures the load regulation ratio of humidity, air flow return path and the cooling and heating equipment, and obtains the dynamic environmental load regulation parameters;

[0219] The environmental load regulation measurement sub-module calculates the energy matching degree of the ventilation equipment and the dehumidification equipment based on the energy efficiency adjustment coefficient η sys , calculates the impact of the humid and hot environment on the load of the energy supply system according to the dynamic environmental load regulation ratio μ dyn The calculation formula is as follows:

[0220]

[0221] Among them, P L,0 is the reference load of a single equipment, μ dyn is the dynamic load regulation index. The value range of this index is 0.95 - 1.05, which is used to adjust the energy consumption demand under different load levels. When P sys <50%, set μ dyn = 0.95. When 50% ≤ P sys< 80%, set μ dyn = 1.02, when P sys ≥ 80%, set μ dyn = 1.05, assume the equipment load P sys = 67%, look up the table to get μ dyn = 1.02;

[0222] Assume P L,0 = 500kW, substitute into the calculation:

[0223] ΔP sys = 500 × 1.5585 1.02 ;

[0224] ΔP sys = 500 × 1.5917 = 795.85kW;

[0225] Finally, obtain the dynamic environment load regulation parameters.

[0226] The building layout optimization configuration sub-module analyzes the influence of humidity and hot air flow return path on the energy consumption of the building complex based on the dynamic environment load regulation parameters, combines the air flow distribution characteristics and the heat and moisture exchange capacity of the building envelope structure, optimizes the ventilation channel configuration in the building layout, measures the influence of ventilation structure adjustment on the overall energy consumption, and obtains the community energy consumption energy-saving planning results;

[0227] The building layout optimization configuration sub-module calculates the influence of humidity and hot air flow return path on the energy consumption of the building complex based on the dynamic environment load regulation parameter ΔP sys , calculates the influence of ventilation structure adjustment on the overall energy consumption, and the calculation formula is as follows:

[0228]

[0229] Among them, E s,0 is the original energy consumption, P sys,0 is the total of multiple equipment loads. Assume E s,0 = 1500MWh, P sys,0 = 5000kW, substitute into the calculation:

[0230]

[0231] E opt = 1500 × (1 - 0.1592) = 1500 × 0.8408 = 1261.2MWh;

[0232] Finally, obtain the community energy consumption energy-saving planning results.

[0233] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims described above.

Claims

1. A precise planning platform for nearly zero - energy consumption communities, characterized in that: The system includes: The building environment thermal and humidity monitoring module obtains the environmental parameters of community buildings, calculates the air temperature and humidity gradient, sets the humidity penetration coefficient, analyzes the impact of humidity on the aerodynamic environment, and obtains the air humidity and wind speed correction data; The thermal and humidity exchange calculation module calls the humidity penetration coefficient, calculates the water vapor diffusion rate and the change value of the thermal resistance, analyzes the impact of humidity on the building thermal insulation layer, obtains the corrected air flow velocity according to the air humidity and wind speed correction data, calculates the change trend of the heat transfer on the building surface and the energy transfer amount, and obtains the building thermal and humidity exchange result; The air flow return path tracking module analyzes the impact of humidity on the air flow density based on the building envelope thermal and humidity exchange result, obtains the change of the density gradient, determines the air flow return trend, and forms the main air flow return path of the building complex; The building energy consumption optimization calculation module analyzes the impact of humidity on the building heat transfer and equipment load demand based on the main air flow return path of the building complex, and obtains the building wet and heat load change data; The intelligent energy-saving planning generation module calculates the equipment energy efficiency adjustment coefficient based on the building wet and heat load data, optimizes the ventilation channel configuration and the wet and heat regulation method of the building envelope, and generates the community energy consumption and energy-saving planning result.

2. The precise planning platform for nearly zero energy consumption communities according to claim 1, characterized in that: The air humidity and wind speed correction data includes the air flow velocity correction value, the wind speed change rate, and the humidity penetration influence coefficient. The building envelope thermal and humidity exchange amount includes the water vapor diffusion rate, the change value of the material thermal resistance, and the heat transfer coefficient correction increment. The main air flow return path of the community building complex includes the air density change range, the air flow buoyancy driving force, and the air flow return trend. The building wet and heat load change information includes the cooling load change value, the heating load change value, and the humidity influence coefficient. The community energy consumption and energy-saving planning result includes the energy efficiency adjustment coefficient, the dynamic environment load regulation ratio, the optimized ventilation channel configuration, and the wet and heat exchange regulation method of the building envelope.

3. The precise planning platform for nearly zero-energy consumption communities according to claim 1, characterized in that: The building environment thermal and humidity monitoring module includes: The air parameter measurement sub-module monitors the air temperature, relative humidity, absolute humidity, and dew point temperature of the community building envelope, calculates the air temperature and humidity gradient, numerically compares the temperature and humidity change ranges of different regions according to the temperature and humidity gradient, sets the initial humidity penetration reference value of the building envelope, and generates the air temperature and humidity gradient; The humidity penetration calculation sub-module sets the humidity penetration reference value of the building envelope based on the air temperature and humidity gradient, calls the material parameters of the building envelope, analyzes the impact of the humidity penetration reference value on the material humidity penetration rate, calculates the humidity penetration coefficient of the building envelope, and generates the humidity penetration influence coefficient; The air flow velocity and wind speed correction sub-module calls the air flow velocity and wind direction data of the community meteorological monitoring point, analyzes the effect of humidity penetration on the aerodynamic environment according to the humidity penetration influence coefficient, calculates the change rate of humidity penetration on the local wind speed, and generates the air humidity and wind speed correction data.

4. The precise planning platform for nearly zero - energy - consumption communities according to claim 1, characterized in that: The thermal and humidity exchange calculation module includes: The water vapor diffusion measurement sub-module analyzes the impact of building material humidity penetration on water vapor diffusion based on the humidity penetration influence coefficient, combines the material property parameters and the environmental temperature and humidity conditions, evaluates the effect of water vapor penetration on the exterior wall insulation layer and the roof insulation layer, obtains the change trend of the humidity penetration of the exterior wall and the roof, and generates the water vapor diffusion rate; The building heat transfer characteristic calculation sub-module calculates the change value of the material thermal resistance based on the water vapor diffusion rate, analyzes the effect of humidity penetration on the heat transfer performance of the building envelope, calls the air humidity and wind speed correction data to calculate the corrected change amount of the air flow rate, and determines the corrected increment of the air heat transfer coefficient according to the building surface roughness to obtain the building surface heat transfer coefficient. The heat and moisture energy transfer calculation sub-module analyzes the change trend of the heat transfer of the exterior wall and the roof based on the building surface heat transfer coefficient, calculates the water vapor evaporation rate, calls the air temperature and humidity gradient according to the influence of the air humidity change on the indoor air enthalpy value, calculates the energy transfer amount during the heat and moisture interaction process, and obtains the heat and moisture exchange result of the building envelope.

5. The near-zero energy consumption community precise planning platform according to claim 4, characterized in that: For calculating the water vapor evaporation rate E v , the formula is used: where h r is the corrected building surface heat transfer coefficient, ψ i is the indoor water vapor partial pressure, ψ o is the outdoor water vapor partial pressure, S m is the moisture absorption rate of building materials, T i represents the indoor air temperature, T o represents the outdoor air temperature, ρ w represents the water vapor density, d m represents the thickness of the building envelope, and AH represents the absolute humidity of air.

6. The precise planning platform for nearly zero - energy consumption communities according to claim 1, characterized in that: The airflow recirculation path tracking module includes: The air density distribution calculation sub-module analyzes the influence of humidity on the air density distribution in the community airflow based on the heat and moisture exchange result of the building envelope, combines the environmental temperature and humidity parameters, calculates the change range of the air density in each spatial region, analyzes the gradient distribution characteristics of the air density, and obtains the air density change interval. The buoyancy driving force analysis sub-module calculates the change value of the buoyancy driving force under each air density gradient based on the air density change interval, combines the air humidity and wind speed correction data, evaluates the regulation effect of humidity on the buoyancy driving force, and obtains the corrected result of the airflow buoyancy driving force. The airflow recirculation analysis sub-module between buildings analyzes the recirculation trend of the airflow in the building complex based on the corrected result of the airflow buoyancy driving force, selects the main airflow path by combining the spatial distribution characteristics of the community building complex, determines the recirculation rate and stability of the airflow between buildings, and obtains the main airflow recirculation path of the community building complex.

7. The precise planning platform for nearly zero-energy consumption communities according to claim 6, characterized in that: For calculating the change value F of the buoyancy driving force under each air density gradient b,c , the formula is used: where g is the acceleration due to gravity, ρ o is the outdoor air density, ρ i is the indoor air density, β b is the buoyancy correction factor, is the regional air density gradient, γ f is the wind speed correction factor, V w is the wind speed.

8. The precise planning platform for nearly zero - energy consumption communities according to claim 1, wherein: The building energy consumption optimization calculation module includes: The airflow heat transfer effect determination sub-module analyzes the influence of the airflow recirculation on the heat transfer coefficient of each building surface based on the main airflow recirculation path of the community building complex, combines the building envelope material parameters to calculate the change range of the heat transfer coefficient under each airflow condition, analyzes the correction effect of the airflow recirculation on the building heat exchange process, and obtains the building heat transfer coefficient adjustment parameter. The building heat transfer ratio calculation sub-module calculates the heat transfer ratio of each building based on the building heat transfer coefficient adjustment parameter, combines the heat conduction characteristics of the exterior wall and the roof, determines the heat transfer amount of the building envelope under each environmental condition, calculates the weight of the heat transfer ratio of each building in the overall energy consumption distribution, and obtains the building heat transfer ratio parameter. The heat and humidity load regulation analysis sub-module analyzes the influence of humidity change on the load demand of the cooling and heating equipment based on the building heat transfer ratio parameter, determines the adjustment demand of the equipment operation parameters for the change of the heat and humidity environment, calculates the load regulation range of the energy supply equipment under each humidity environment, and obtains the building heat and humidity load change data.

9. The precise planning platform for nearly zero - energy consumption communities according to claim 8, characterized in that: For calculating the variation range h of the heat transfer coefficient under each air flow condition r , the formula is used: Among them, h0 is the reference heat transfer coefficient, γ h,r is the air flow heat transfer correction coefficient, V f,r is the air flow velocity, α v is the wind speed non-linear index, β h,t is the turbulence influence correction factor, k t is the turbulent kinetic energy, α k is the turbulence index, ζ s is the surface roughness correction factor, ∈ s is the building surface roughness.

10. The precise planning platform for nearly zero energy consumption communities according to claim 1, characterized in that: The intelligent energy-saving planning generation module includes: The equipment energy efficiency adjustment calculation sub-module calculates the operation efficiency of the cooling and heating equipment under each humidity condition based on the building heat and humidity load change data, combines the equipment parameters to determine the influence of humidity change on the equipment load, calculates the corrected value of the energy supply efficiency under each humidity condition, and matches the equipment operation parameters with the humidity environment to obtain the energy efficiency adjustment coefficient of the cooling and heating equipment. The environmental load adjustment measurement sub-module calculates the energy matching degree of the ventilation equipment and the dehumidification equipment based on the energy efficiency adjustment coefficient of the cooling and heating equipment, analyzes the influence of the humid and hot environment on the load of the energy supply system according to the dynamic environmental load adjustment ratio, measures the load adjustment ratios of humidity, air flow return path and cooling and heating equipment, and obtains dynamic environmental load adjustment parameters; The building layout optimization configuration sub-module analyzes the influence of humidity and hot air flow return path on the energy consumption of the building complex based on the dynamic environmental load adjustment parameters, combines the air flow distribution characteristics and the heat and moisture exchange capacity of the building envelope structure, optimizes the ventilation channel configuration in the building layout, measures the influence of the ventilation structure adjustment on the overall energy consumption, and obtains the energy-saving planning result of the community energy consumption.

Images