A modeling method, device, terminal and medium for building heat emission modeling

Abstract

This application discloses a modeling method, device, terminal, and medium for building thermal emissions. The proposed solution first collects building structure data and thermal emission environmental data for the target area. Then, it calculates the anthropogenic heat emissions emitted by outdoor air conditioning units mounted on the building using the enthalpy difference method, and superimposes these data to obtain dynamic thermal emission data. Next, it divides the thermal storage space with the air conditioning unit location as the origin, and establishes a formula to calculate the air flux changes caused by thermal pressure, taking into account wind speed conditions. Then, it layers the urban canopy according to vertical height, calculates the thermal pressure difference formed by the air density differences between each layer, and constructs the interlayer heat transfer relationship. Finally, it integrates the temperature rise data of the thermal storage space with the coupling relationship of the thermal layers, simulating the thermal emission distribution and temperature rise trend of buildings in the target area under different wind speed conditions, thus solving the technical problem of large calculation errors in existing thermal emission temperature rise calculation simulations.

Description

Technical Field

[0001] This application relates to the field of urban environmental engineering technology, and in particular to a modeling method, device, terminal and medium for building thermal emission models. Background Technology

[0002] With the acceleration of global urbanization, high-density residential areas in hot and humid regions are increasingly facing the problem of deteriorating outdoor thermal environment caused by air conditioning heat dissipation in summer due to population concentration and dense building density. The compact building layout of high-density residential areas significantly hinders the diffusion and circulation of airflow within the block, resulting in the continuous accumulation of heat dissipation from a large number of building air conditioning units. The resulting "heat accumulation" effect significantly affects the outdoor thermal environment of buildings and causes air conditioning energy consumption and heat dissipation to accumulate, forming a vicious cycle.

[0003] Existing heat emission temperature rise calculation simulation models often simplify air conditioning heat exhaust to fixed parameters, ignore the time-varying characteristics of heat exhaust from vents, surface convection heat transfer, and long-wave radiation heat dissipation, and do not take into account the influence of building layout on heat exhaust, resulting in technical problems such as large calculation errors in existing heat emission temperature rise calculation simulations. Summary of the Invention

[0004] This application provides a modeling method, device, terminal, and medium for building thermal emissions, which addresses the technical problem of large calculation errors in existing thermal emission temperature rise calculation simulations.

[0005] To address the aforementioned technical problems, the first aspect of this application provides a modeling method for simulating building heat emissions, comprising:

[0006] Collect building structure data and thermal emission environmental data for the target area;

[0007] An anthropogenic heat emission calculation model is constructed using the enthalpy difference method and radiation heat transfer logic. This model is used to quantify the heat emission data of the outdoor unit of an air conditioner.

[0008] Based on the building structure data and the distribution status and heat emission data of the outdoor air conditioning units in the target area, a temperature change model is constructed. The temperature change model is used to determine the distribution status of the heat storage space in the target area and the temperature change data of the heat storage space under different outdoor wind speeds. The heat storage space is a virtual space divided based on the location of the outdoor air conditioning units.

[0009] Based on the distribution of the thermal storage space and the urban canopy spatial structure of the target area, the urban canopy spatial structure is divided into several thermal layers along the vertical direction, and a thermal balance relationship between adjacent thermal layers is constructed. Based on the division of the thermal layers and the thermal balance relationship, a heat uplift model is constructed.

[0010] By integrating the temperature change model and the heat rise model, a building heat emission simulation model is obtained. Based on the calculations of the building heat emission simulation model, the building heat emission simulation results for the target area are obtained.

[0011] Preferably, the calculation formula of the anthropogenic heat emission calculation model is:

[0012]

[0013]

[0014]

[0015]

[0016] In the formula, This refers to the heat emission data of the outdoor unit of the air conditioner at time t. To dissipate heat from the air outlet of the outdoor unit of the air conditioner at time t. The convective heat transfer on the surface of the outdoor unit of the air conditioner at time t. The amount of heat dissipated by long-wave radiation from the surface of the outdoor unit of the air conditioner at time t. and These are the specific heat capacities of the air at the air outlet and side air inlet of the outdoor unit of the air conditioner at time t and the average temperature, respectively. and These represent the air density at the air outlet and side air inlet of the outdoor unit of the air conditioner at time t and the average temperature, respectively. and Let t be the air velocity at the side air inlet and the back air inlet of the outdoor unit of the air conditioner; and This indicates the area of ​​the side air inlet and the back air inlet of the outdoor unit of the air conditioner; and These are the exhaust air temperature at the outdoor unit's air outlet and the intake air temperature at the side air inlet, respectively. The air intake temperature is the temperature at the back of the air inlet. For heat dissipation time, This refers to the surface area of ​​the outdoor unit of the air conditioner. The heat transfer coefficient of the outdoor unit surface of the air conditioner. Let t be the surface of the outdoor unit of the air conditioner. Let t be the air temperature near the surface of the outdoor unit of the air conditioner. The emissivity of the outdoor unit surface of the air conditioner. This represents the blackbody radiation coefficient.

[0017] Preferably, the temperature change model constructed based on the building structure data and the distribution status and heat emission data of air conditioning outdoor units in the target area specifically includes:

[0018] Based on the building structure data and the distribution status and heat emission data of the outdoor air conditioning units in the target area, the space is divided with each outdoor air conditioning unit as the origin and combined with the preset space size threshold to obtain the heat storage space corresponding to each outdoor air conditioning unit.

[0019] Based on the heat storage space, combined with the preset outdoor wind speed conditions and the heat transfer relationship under different outdoor wind speed conditions, the temperature change calculation formula under the outdoor wind speed conditions is determined, so as to construct a temperature change model based on the temperature change calculation formula.

[0020] Preferably, the outdoor wind speed conditions include: normal wind speed conditions and calm wind speed conditions.

[0021] Preferably, the formula for calculating the temperature change is as follows:

[0022]

[0023] In the formula, This refers to the temperature change data of the heat storage space under normal wind speed conditions. This refers to the temperature change data of the heat storage space under quiet, low-wind-speed conditions. The density of air; This refers to the volume of the heat storage space; This represents the airflow flux from the outside into the thermal storage space. and The specific heat capacity of dry air versus saturated water vapor; This refers to the humidity content of the air. For the air conditioner's heat dissipation time, This indicates the amount of air that flows into the heat storage space due to thermal pressure.

[0024] Preferably, the expression for the heat buoyancy model is as follows:

[0025]

[0026] In the formula, n represents the number of thermal layers. and These represent the rates of heat inflow / outflow at the nth layer, respectively. The thermal pressure difference between the nth layer and the layer below is... The thermal pressure difference between the nth layer and the layer above. , and Let n be the air density of the nth, n-1th, and n+1th layers. The average air density of the nth layer and the (n-1)th layer is given. The average air density of the nth layer and the (n+1)th layer and Here, represents the length and width of the thermal storage space, and g is the acceleration due to gravity. Calculation height for thermal pressure ventilation.

[0027] Preferably, it further includes:

[0028] Based on the air conditioning equipment information in the target area, the thermal emission environmental data and the EER coefficient of the air conditioning equipment are correlated to construct an EER performance prediction model, which is then integrated into the building thermal emission simulation model.

[0029] The second aspect of this application provides a modeling apparatus for simulating building heat emissions, comprising:

[0030] The data acquisition unit is used to collect building structure data and thermal emission environmental data of the target area.

[0031] An anthropogenic heat emission modeling unit is used to construct an anthropogenic heat emission calculation model using the enthalpy difference method and radiation heat transfer logic. The anthropogenic heat emission calculation model is used to quantify the heat emission data of the outdoor unit of the air conditioner.

[0032] A spatial temperature change modeling unit is used to construct a temperature change model based on the building structure data and the distribution status and heat emission data of the outdoor air conditioning units in the target area. The temperature change model is used to determine the distribution status of the heat storage space in the target area and the temperature change data of the heat storage space under different outdoor wind speeds. The heat storage space is a virtual space divided based on the location of the outdoor air conditioning units.

[0033] The building heat transfer modeling unit is used to divide the urban canopy space structure into several thermal layers along the vertical direction according to the distribution state of the heat storage space and the urban canopy space structure of the target area, and to construct the heat balance relationship between adjacent thermal layers. Based on the division results of the thermal layers and the heat balance relationship, a heat rise model is constructed.

[0034] The heat emission simulation modeling unit is used to integrate the temperature change model and the heat rise model to obtain a building heat emission simulation model, so as to obtain the building heat emission simulation results of the target area based on the calculation of the building heat emission simulation model.

[0035] A third aspect of this application provides a modeling terminal for a building thermal emission simulation model, comprising: a memory and a processor;

[0036] The memory is used to store program code, which is used to implement a building thermal emission simulation modeling method as provided in the first aspect of this application.

[0037] The processor is used to read and execute the program code.

[0038] The fourth aspect of this application provides a computer-readable storage medium storing program code, which is read and executed by a processor to implement a building thermal emission simulation modeling method as provided in the first aspect of this application.

[0039] As can be seen from the above technical solutions, this application has the following advantages:

[0040] The proposed solution first collects building structure data and thermal emission environmental data for the target area. Then, it calculates the anthropogenic heat emissions from outdoor air conditioning units mounted on the buildings using the enthalpy difference method, and superimposes this data to obtain dynamic thermal emission data. Next, it divides the thermal storage space with the air conditioning unit location as the origin, and establishes a formula to calculate the air flux changes caused by thermal pressure, taking into account wind speed conditions. Then, it layers the urban canopy vertically, calculates the thermal pressure difference caused by the air density differences between each layer, and constructs the interlayer heat transfer relationship. Finally, it integrates the temperature rise data of the thermal storage space with the coupling relationship of the thermal layers, simulating the thermal emission distribution and temperature rise trend of buildings in the target area under different wind speed conditions, thus solving the technical problem of large calculation errors in existing thermal emission temperature rise calculation simulations. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a flowchart illustrating an embodiment of a building heat emission modeling method provided in this application.

[0043] Figure 2 The three-view diagram shows the structure of the thermal storage space constructed based on the scheme in this application.

[0044] Figure 3 This is a schematic diagram of the vertical geometry of the urban canopy environment.

[0045] Figure 4 This is a schematic diagram of the vertical geometric structure of the thermal layer based on the scheme of this application and the urban canopy structure.

[0046] Figure 5 This is a schematic diagram of the vertical heat transfer logic for different building complex types.

[0047] Figure 6This is a schematic diagram illustrating the heat transfer logic of each thermal layer in the vertical geometric structure of the thermal layer constructed based on the scheme of this application.

[0048] Figure 7 This is a schematic diagram of an embodiment of a building heat emission modeling device provided in this application.

[0049] Figure 8 This is a schematic diagram of the structure of a modeling terminal for building heat emission modeling provided in this application. Detailed Implementation

[0050] In existing technologies, with the acceleration of urbanization, the building layout of high-density residential areas hinders airflow diffusion, leading to the accumulation of air conditioning heat and a heat buildup effect, which exacerbates the deterioration of the outdoor thermal environment. Traditional temperature rise calculation models simplify air conditioning heat exhaust to fixed parameters, ignoring the time-varying characteristics of heat exhaust from vents and the influence of building layout on heat transfer, resulting in significant deviations between simulation results and actual values. For example, in a compact residential area, a fixed-parameter model was used to predict heat emissions. Because the dynamic changes in air conditioning heat exhaust and the shading effect of building clusters were not considered, the final simulated temperature rise data had a large error compared to the measured values.

[0051] In view of this, embodiments of this application provide a building thermal emission modeling method, device, terminal and medium to solve the technical problem of large calculation errors in existing thermal emission temperature rise calculation simulations.

[0052] To make the inventive objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0053] First, a detailed description of an embodiment of a building heat emission modeling method provided in this application is as follows:

[0054] Please see Figure 1 This application provides a modeling method for simulating building heat emissions, including:

[0055] Step 101: Collect building structure data and thermal emission environmental data for the target area;

[0056] Step 102: Construct an anthropogenic heat emission calculation model using the enthalpy difference method and radiation heat transfer logic;

[0057] Among them, the anthropogenic heat emission calculation model is used to quantify the heat emission data of the outdoor unit of the air conditioner;

[0058] Step 103: Based on the building structure data and the distribution status of outdoor air conditioning units and heat emission data in the target area, construct a temperature change model;

[0059] Among them, the temperature change model is used to determine the distribution of the thermal storage space in the target area and the temperature change data of the thermal storage space under different outdoor wind speeds. The thermal storage space is a virtual space divided based on the location of the outdoor air conditioning unit.

[0060] Step 104: Based on the distribution of the thermal storage space and the urban canopy spatial structure of the target area, divide the urban canopy spatial structure into several thermal layers along the vertical direction, and construct the thermal balance relationship between adjacent thermal layers. Based on the division of the thermal layers and the thermal balance relationship, construct the heat rise model.

[0061] Step 105: Integrate the temperature change model and the heat rise model to obtain the building heat emission simulation model, and obtain the building heat emission simulation results for the target area based on the calculation of the building heat emission simulation model.

[0062] It should be noted that, in order to solve the above problems, this application provides a simulation model that can reflect the dynamic characteristics of heat emission and the impact of building space. Analysis reveals that heat emission errors originate from three levels: first, air conditioning heat emission includes three time-varying components: heat from exhaust vents, surface convection heat transfer, and radiative heat dissipation; second, the heat storage space formed by the building layout leads to uneven heat distribution; and third, the thermal pressure difference between vertical thermal layers drives heat to rise. Based on this, a step-by-step modeling approach is adopted: first, quantify the dynamic data of air conditioning heat emission; second, establish a temperature rise model for the heat storage space; third, construct the coupling relationship of vertical thermal layers; and finally, achieve accurate simulation through multi-model integration. Therefore, this application proposes a scheme including the following steps: collecting building structure data and heat emission environmental data of the target area; constructing an artificial heat emission calculation model using the enthalpy difference method and radiative heat transfer logic; establishing a temperature change model of the heat storage space based on air conditioning distribution and heat emission data; dividing the thermal layers by combining the urban canopy structure and constructing a heat rise model; and integrating the temperature change model and the heat rise model to obtain a building heat emission simulation model.

[0063] Among them, the enthalpy difference method refers to the method of calculating the heat at the exhaust vent based on the specific heat capacity, density, and temperature difference of air. Specifically, it can be achieved by multiplying the enthalpy difference between the air outlet and the air inlet by the air volume, and is used to dynamically quantify air conditioning heat exhaust data. The heat storage space refers to a virtual space centered on the outdoor unit of the air conditioner. Specifically, it can be divided into three-dimensional meshes using preset space size thresholds, and is used to characterize local heat accumulation areas. The thermal layer division refers to decomposing the urban canopy into multiple air layers along the vertical direction of the building. Specifically, the number of layers can be divided according to a height difference of 2-5 meters, and is used to analyze the heat transfer process driven by vertical thermal pressure. The heat buoyancy model establishes a heat balance relationship between adjacent thermal layers, and can specifically introduce air density difference and thermal pressure difference parameters to describe the migration law of heat in the vertical direction.

[0064] Specifically, the method first calculates the instantaneous heat dissipation from air conditioning exhaust vents, surface convection, and radiation using the enthalpy difference method, and then superimposes this data to obtain dynamic heat emission data. Next, the heat storage space is divided with the air conditioning location as the origin, and a temperature change calculation formula is established based on wind speed conditions, such as considering the air flux changes caused by thermal pressure under low wind speeds. Then, the urban canopy is layered vertically, and the thermal pressure difference formed by the air density differences between each layer is calculated to construct the interlayer heat transfer relationship. Finally, the temperature rise data of the heat storage space is integrated with the coupling relationship of the thermal layers to simulate the heat emission distribution and temperature rise trend of the building complex under different wind speed conditions. This scheme, through dynamic component calculation of heat emission data and the combination of heat storage space and thermal layer division, can reflect the actual heat transfer process in both horizontal and vertical directions. For example, in simulating a high-rise building complex, traditional methods, due to the lack of consideration for the thermal pressure difference between thermal layers, lead to errors in the predicted roof temperature rise compared to the actual measurement. This scheme, however, corrects this deviation through a heat rise model, thereby reducing the error between the predicted and measured temperature rise values. Through the above technical solution, this application realizes the coupled simulation of the time-varying characteristics of air conditioning heat exhaust and the building space structure, solving the temperature rise calculation error caused by the simplification assumptions of traditional models. This solution can accurately predict the heat accumulation distribution in high-density building areas under different wind speed conditions, providing data support for optimizing air conditioning layout and improving the outdoor thermal environment, while laying the foundation for the formulation of heat exhaust control strategies in building energy-saving design.

[0065] Furthermore, this embodiment proposes a modeling method for simulating building heat emissions, wherein the calculation formula for the anthropogenic heat emissions calculation model is:

[0066]

[0067] in, This represents the heat emission data of the outdoor unit of the air conditioner at time t. , and These represent the heat dissipation from the air outlet of the outdoor unit, the convective heat transfer between the outdoor unit surface and the air, and the heat dissipation from the long-wave radiation of the outdoor unit surface, respectively.

[0068] The specific expressions for these three types of heat dissipation are as follows:

[0069]

[0070]

[0071]

[0072] in, and These represent the average temperature at the air outlet and side air inlet of the outdoor unit of the air conditioner. and The specific heat capacity of the air below, where the average temperature of the air outlet and side inlet of the outdoor unit of the air conditioner can be calculated using the following formula:

[0073]

[0074] In the formula, and These represent the air density at the air outlet and side air inlet of the outdoor unit of the air conditioner at time t and the average temperature, respectively. and Let t be the air velocity at the side air inlet and the back air inlet of the outdoor unit of the air conditioner; and This indicates the area of ​​the side air inlet and the back air inlet of the outdoor unit of the air conditioner; and These are the exhaust air temperature at the outdoor unit's air outlet and the intake air temperature at the side air inlet, respectively. The air intake temperature is the temperature at the back of the air inlet. For heat dissipation time, This refers to the surface area of ​​the outdoor unit of the air conditioner. The heat transfer coefficient of the outdoor unit surface of the air conditioner. Let t be the surface of the outdoor unit of the air conditioner. Let t be the air temperature near the surface of the outdoor unit of the air conditioner. The emissivity of the outdoor unit surface of the air conditioner. This represents the blackbody radiation coefficient.

[0075] Among them, the heat dissipated from the air outlet refers to the heat generated by the enthalpy difference between the high-temperature air discharged from the air conditioner exhaust vent and the outside air. Specifically, it can be calculated using the enthalpy difference method, and can be dynamically quantified by measuring the temperature difference between the air outlet and the air inlet, the wind speed, and the air physical properties.

[0076] Convective heat transfer refers to the heat exchange between the surface of an air conditioner's outdoor unit and the surrounding air due to temperature differences. Specifically, it can be calculated by combining the surface heat transfer coefficient with the surface area and the temperature difference, and is used to reflect the impact of changes in ambient wind speed on heat emissions.

[0077] Long-wave radiation heat dissipation refers to the heat lost from the surface of an air conditioner outdoor unit to the surrounding environment through long-wave radiation. Specifically, it can be calculated using the Stefan-Boltzmann law, and the dynamic simulation of radiative heat flow can be achieved by combining the surface emissivity with the ambient temperature difference.

[0078] The blackbody emissivity is a physical constant characterizing the emissivity of an ideal blackbody; it can be a fixed value, such as 5.67 × 10⁻⁸ W / ( ), used to calculate surface radiative heat transfer.

[0079] Specifically, the heat emission data of the outdoor unit of the air conditioner is decomposed into three independently calculated parts: heat emission from the exhaust vent, surface convection heat transfer, and long-wave radiation heat dissipation. Heat emission from the exhaust vent is calculated using the enthalpy difference method, combining the temperature, wind speed, and air properties of the air outlet and inlet to dynamically reflect the impact of changes in the air conditioner's operating status on the heat emission. Surface convection heat transfer is calculated by multiplying the surface heat transfer coefficient by the temperature difference, capturing the instantaneous heat transfer differences caused by changes in ambient wind speed. Long-wave radiation heat dissipation is based on a radiation heat transfer model of surface temperature and ambient temperature, quantifying the effect of surface radiation heat dissipation on the surrounding thermal environment. The results of the three calculations are superimposed to form complete heat emission data at time t, thus avoiding the simplification of heat emission to a fixed parameter. Compared with existing technologies, traditional methods typically simplify air conditioner heat emission to a single fixed value, failing to distinguish the dynamic differences between the three heat dissipation pathways—exhaust vent, surface convection, and radiation—resulting in calculation results that cannot reflect the time-varying characteristics of actual heat emission. This scheme separates three heat dissipation mechanisms through a physical model and calculates them independently using the enthalpy difference method, the convective heat transfer formula, and the radiative heat transfer formula. This enables the model to dynamically respond to changes in air conditioning operating parameters and environmental conditions, thereby improving the spatiotemporal resolution of heat emission data. Through the above technical solution, this application can dynamically capture the instantaneous changes in heat emission of the outdoor unit of the air conditioner under different operating conditions, solving the calculation error problem caused by the traditional model ignoring the differences in heat emission paths and the time-varying nature of parameters, and providing more accurate heat emission input data for subsequent temperature field simulation.

[0080] Furthermore, this application proposes to divide the space based on building structure data and the distribution status and heat emission data of air conditioning outdoor units in the target area, taking each air conditioning outdoor unit as the origin and combining it with a preset space size threshold, so as to obtain the heat storage space corresponding to each air conditioning outdoor unit; based on the heat storage space, combined with the preset outdoor wind speed conditions and the heat transfer relationship under different outdoor wind speed conditions, to determine the temperature change calculation formula under outdoor wind speed conditions, so as to construct a temperature change model based on the temperature change calculation formula.

[0081] Among them, the heat storage space refers to the virtual space divided based on the location of the outdoor unit of the air conditioner. Specifically, it can be implemented using a spatial grid partitioning algorithm. For example, the area around the outdoor unit of the air conditioner can be divided into a cubic space with a preset side length to simulate the local accumulation effect of heat emission. Figure 2 Specific schematic diagrams of the thermal storage spaces are shown, with dimensions of Space No. 1: 1.5m × 1.5m × 1.5m; Space No. 2: 2.5m × 2.5m × 2.5m; and Space No. 3: 3.5m × 3.5m × 3.5m. Before establishing the outdoor local temperature rise model, the following assumptions can be made: 1. The model uses a one-hour time step, and it is assumed that the heat emitted by the air conditioning system is uniformly distributed throughout the thermal storage space within one hour, and the temperature is the same at all points in the entire area; 2. The direction of outdoor airflow entering and exiting the thermal storage space is perpendicular to the side of the space. The temperature of the airflow entering the space is assumed to be the outdoor air temperature, and the temperature of the airflow exiting the space is assumed to be the air temperature inside the thermal storage space.

[0082] Among them, outdoor wind speed conditions refer to external airflow parameters that affect the temperature change of the thermal storage space. By setting different outdoor wind speed conditions, different convective heat transfer scenarios can be distinguished. The heat transfer relationship refers to the mathematical model describing the energy conservation within the thermal storage space. Specifically, it can be solved by simultaneously solving the mass conservation equation and the energy conservation equation. For example, an air flux parameter can be introduced to characterize the airflow exchange under thermal pressure, which is used to quantify the dynamic impact of wind speed on temperature changes.

[0083] Specifically, each outdoor air conditioner unit is used as the center point, and corresponding thermal storage space units are generated through spatial grid division. Under normal wind speed conditions, the flux parameters of outdoor airflow into the thermal storage space are calculated, and combined with air specific heat capacity and heat dissipation time parameters, a linear relationship between temperature change and wind speed is established. Under quiet low wind speed conditions, the focus is on natural air convection caused by thermal pressure, and a nonlinear temperature calculation formula is constructed by introducing air volume parameters driven by thermal pressure difference. The heat exchange boundary conditions between thermal storage spaces are dynamically constrained based on building structure data, ultimately forming a distributed temperature change model covering all outdoor air conditioner units. This scheme, by establishing thermal storage space units bound to the location of the air conditioners, can accurately reflect the hindering effect of building layout on heat diffusion. At the same time, the velocity domain modeling method is used to handle the heat transfer processes of forced convection and natural convection separately, overcoming the calculation bias of traditional single models in low wind speed scenarios.

[0084] More specifically, this application further proposes to divide outdoor wind speed conditions into normal wind speed conditions and calm wind speed conditions. Among them, normal wind speed conditions refer to the range of wind speed in the outdoor environment under typical natural ventilation conditions. Specifically, it can be defined by the annual average wind speed range obtained from meteorological data statistics, such as wind speeds in the range of 1.0-5.0 m / s, which is used to describe the normal influence mechanism of air flow on heat diffusion in the thermal storage space.

[0085] The following is an example of the specific modeling process under normal wind speeds:

[0086] Record the enthalpy upon entering the heat storage space as The expression relating the heat in the heat storage space to the heat dissipated by the air conditioner is:

[0087]

[0088]

[0089]

[0090]

[0091] In the formula, where, , and These represent the enthalpy values ​​of humid air, humid air flowing out of the heat storage space, and humid air flowing into the heat storage space, respectively. V represents the standard outdoor air density; V represents the volume of the heat storage space. This indicates the amount of air flowing into the thermal storage space; and ρ is the specific heat capacity of dry air and saturated water vapor; w is the humidity of the air; T is the air temperature; and This indicates the temperature of the air flowing out of and into the heat storage space.

[0092] In the above formula The specific expression is as follows:

[0093]

[0094] In the formula, W and H represent the width and height of the thermal storage space, respectively; This indicates the outdoor air velocity.

[0095] Let the initial temperature of the thermal storage space be equal to the outdoor air temperature, denoted as . After the air conditioner has been running for a period of time, let the temperature inside the heat storage space be T. At this time, the temperature outside the heat storage space is... Combining the first five formulas, we can obtain:

[0096]

[0097]

[0098] Over time Then, the air temperature inside the heat storage space is recorded as... , and the initial temperature Record the temperature difference According to the previous formula, we can obtain:

[0099]

[0100]

[0101] Quiet wind speed conditions refer to situations where the wind speed is below a specific threshold, such as extremely low wind speed environments less than 0.1 m / s. In these conditions, natural convection dominates, and heat transfer mainly relies on the thermo-pressure effect driven by the temperature gradient. This condition is used to simulate the heat accumulation process in a heat storage space under windless or light wind conditions. By defining two wind speed conditions, corresponding temperature change calculation models can be established for different airflow states, solving the problem of the simplistic heat transfer mechanism caused by the failure to distinguish wind speed differences in existing technologies.

[0102] Next, this embodiment also provides an example of the specific modeling process under calm wind speeds:

[0103] Before establishing the model, the following assumptions can be made: 1. Air in the thermal storage space flows out through the upper surface, while air below the space is replenished into the space through the lower surface; 2. The wind speed induced by thermal buoyancy is used... Indicates airflow rate express.

[0104] The following is the heat relationship formula for the heat storage space under quiet and low wind speed conditions:

[0105]

[0106] in, The amount of air flowing into the heat storage space due to thermal pressure; Indicates the air velocity for hot-press ventilation; The pressure difference between the air inside the heat storage space and the air above it; It is the acceleration due to gravity; This is the calculated height for thermal pressure ventilation; Indicates average air density; Let be the air density at the air outlet under air conditioning heat dissipation conditions. For ease of calculation, assume the air density above the heat storage space is equal to the air density entering the space. The air density is the outdoor air density. ) and the air density at the air outlet of the outdoor unit of the air conditioner ( The average value is the same as the modeling process under normal wind speed. Combining this with the heat relationship of the heat storage space under the previous calm and low wind speed condition, we can obtain... The expression:

[0107]

[0108] Specifically, when constructing the temperature change model, under conventional wind speed conditions, a forced convection-related heat transfer formula is used. For example, based on the linear relationship between wind speed and air flux within the thermal storage space, the heat diffusion process with airflow is calculated. Under quiet wind speed conditions, a thermal pressure ventilation model is used, combining the volume of the thermal storage space and the temperature gradient to quantify the natural convection transfer of heat in the vertical direction. The temperature change calculation formulas for the two wind speed conditions consider the influence of different dominant factors on heat distribution. For example, a correlation parameter between wind speed and air flux is introduced under conventional wind speed conditions, while a parameter of air inflow caused by thermal pressure is introduced under quiet wind speed conditions, thereby achieving targeted temperature change prediction. By distinguishing between conventional wind speed and quiet wind speed conditions and constructing corresponding physical models, this application can more accurately describe the heat transfer mechanism of the thermal storage space under different wind speed environments, especially the dominant role of the thermal pressure effect under quiet wind speed conditions. Through the above technical solution, this application can effectively solve the problem of heat emission temperature rise calculation error caused by not considering wind speed differences in the prior art, significantly improve the prediction accuracy of temperature change of heat storage space under low wind speed environment, and thus provide a more reliable simulation basis for the analysis of thermal accumulation effect of high-density building clusters.

[0109] Furthermore, the heat buoyancy model provided in this embodiment is constructed as follows:

[0110] The construction process of the heat rise model includes the following steps: First, based on the distribution of heat storage space, the urban canopy space is divided into multiple thermal layers vertically; second, based on the air density differences between adjacent thermal layers, a mathematical relationship between interlayer thermal pressure difference and heat flow rate is established; finally, by simultaneously solving the heat balance equations of each layer, a dynamic model describing the heat transfer process in the vertical direction is formed. This model, by introducing a natural convection mechanism driven by thermal pressure difference, can accurately simulate the heat accumulation and diffusion processes at different heights, especially in densely built-up areas, effectively reflecting the characteristics of vertical heat migration caused by space constraints.

[0111] The thermal layer refers to multiple air thermodynamic characteristic layers vertically divided according to the urban canopy spatial structure. Specifically, the urban canopy space can be divided into several layers by a preset vertical stratification height threshold, used to characterize the differences in heat distribution at different heights. Thermostatic pressure difference refers to the pressure gradient formed between adjacent thermal layers due to differences in air density. It can be calculated by combining the difference in air density between adjacent layers with gravitational acceleration, and is used to drive natural convection of heat in the vertical direction. The calculated height of thermostatic ventilation refers to the effective range of the airflow path formed by thermal pressure within the building complex. It can be determined based on the geometric relationship between the length and width parameters of the heat storage space and the height of the building complex, used to quantify the impact of thermostatic ventilation on heat transfer.

[0112] Among them, the heat inflow / outflow velocity refers to the rate of energy transfer through the boundary of the thermal layer per unit time. Specifically, it can be calculated by multiplying the thermal pressure difference with the air flow velocity between the thermal layers, and is used to characterize the intensity of heat exchange between adjacent layers.

[0113] More specifically, the urban canopy is vertically divided into different thermal layers, and the thermal balance relationship between adjacent layers is determined. An example of the specific process is as follows:

[0114] To reduce model errors caused by differences in air temperature measured at different locations and heights compared to the outdoor unit's exhaust temperature, the following assumptions can be made:

[0115] (1) Assuming that the air in the heat storage unit is uniformly mixed, let the temperature of the nth layer be T. n ;

[0116] (2) Assume that the heat is only affected by thermal pressure during the vertical rise of the heat, and do not consider the influence of various external factors, including wind speed.

[0117] (3) Assume that the outdoor unit wall, building wall and ground are all insulated surfaces and will not absorb or release heat, thus affecting the internal temperature of the residential area;

[0118] (4) Ignore the influence of the air temperature and wind speed at the air inlet of the outdoor unit and the volume of the air inlet and outlet of the outdoor unit.

[0119] (5) During the heat storage process, the time for each layer to reach a stable temperature is the same.

[0120] like Figures 3 to 6 As shown, Figure 3 This is a schematic diagram of the vertical geometry of the urban canopy environment. Figure 4 This is a schematic diagram of the vertical geometry of the thermal layer based on the urban canopy structure. Figure 5The diagram illustrates the vertical heat transfer logic for different building types, specifically showing three structures: low-rise high-density buildings with three floors of 3.3m each; mid-rise high-density buildings with seven floors of 3m each; and high-rise high-density buildings with eleven floors of 3m each. Figure 6 In order to be in Figure 4 The thermal storage units extracted from the well-defined vertical assembly structure have lengths, widths, and heights of L', W', and H' for each layer. Figure 6 Thermal balance analysis is performed on the heat storage unit in the middle to determine the amount of heat transferred from the lower layer. The heat Q transferred from the outdoor unit of the air conditioner on this floor is considered as the heat entering and leaving the heat storage unit on this floor. The heat flowing out of the heat storage unit on this floor mainly flows into the upper floor under thermal pressure. In addition, the change in temperature of the thermal storage unit means a change in its internal energy. Therefore, the following equation can be derived from the heat balance equation:

[0121]

[0122] In the formula, This represents the anthropogenic heat emissions of the nth thermal layer. , and These represent the air density at the inflow and outflow points, respectively. This represents the flow rate of the gas at the corresponding cross-section. The gas flow rate corresponding to the inflow section, This corresponds to the gas flow rate at the outflow section. and These represent the enthalpy values ​​of the gas flowing into / out of the state point, respectively, and t is the heat storage time. The increase in heat in the heat storage space of this floor can be calculated using the following thermal pressure formula:

[0123]

[0124] In the formula, c is the specific heat capacity of the gas in the thermal storage space, and m is the mass of the gas in the thermal storage space. This refers to the temperature change within the heat storage space, and its value corresponds to the value mentioned earlier. or .

[0125] Next, a heat uplift model is constructed between two adjacent thermal layers under the influence of density difference. The specific expressions include:

[0126]

[0127] In the formula, n represents the number of thermal layers. and These represent the rates of heat inflow / outflow at the nth layer, respectively. The thermal pressure difference between the nth layer and the layer below is... The thermal pressure difference between the nth layer and the layer above. , and Let n be the air density of the nth, n-1th, and n+1th layers. The average air density of the nth layer and the (n-1)th layer is given. The average air density of the nth layer and the (n+1)th layer and Here, represents the length and width of the thermal storage space, and g is the acceleration due to gravity. Calculation height for thermal pressure ventilation.

[0128] This solution, by dividing the building into thermal layers and establishing interlayer thermal pressure balance, is the first to combine thermal pressure ventilation with the vertical structure of a building complex, enabling more accurate capture of the dynamic characteristics of heat rising in high-density areas. Through this technical solution, this application can significantly improve the vertical resolution of building complex heat emission simulation, providing reliable model support for optimizing air conditioning equipment layout and improving the outdoor thermal environment.

[0129] Furthermore, the solution provided in this embodiment also proposes that, during the modeling process of building thermal emission simulation model, correlation analysis is performed between thermal emission environmental data and the EER coefficient of air conditioning equipment based on the air conditioning equipment information in the target area, and an EER performance prediction model is constructed to integrate the model into the building thermal emission simulation model.

[0130] The EER (Energy Efficiency Ratio) is a coefficient of performance for air conditioning systems. It is quantified as the ratio of cooling capacity to input power and is used to characterize the energy efficiency level of air conditioning equipment. During the modeling process, the EER can be obtained from the performance parameter manual of the air conditioning equipment or from measured data.

[0131] Correlation analysis refers to establishing the relationship between thermal emission environmental parameters and EER coefficient through statistical methods. Specifically, Pearson correlation coefficient or multiple regression model can be used to identify the dynamic impact of environmental factors such as temperature and humidity on air conditioning energy efficiency.

[0132] Among them, the EER performance prediction model refers to the mathematical relationship established based on the results of correlation analysis. Specifically, it can use machine learning algorithms or empirical equations to predict the changing trend of EER coefficient under different thermal emission environmental conditions.

[0133] Specifically, during the operation of the building thermal emission simulation model, operational data of the air conditioning equipment and environmental monitoring data are first collected, such as air conditioning cooling capacity, power consumption, and ambient temperature and humidity. Subsequently, correlation analysis is used to screen out environmental variables significantly correlated with the EER coefficient. For example, it was found that a 1°C increase in ambient temperature may lead to a decrease in the EER coefficient of approximately 0.05. Based on this, a linear regression equation or neural network model is constructed to establish a predictive relationship between the EER coefficient and changes in environmental parameters. This predictive model is integrated into the thermal emission simulation model, enabling the dynamic use of real-time EER values ​​during air conditioning heat emission calculations, rather than using fixed parameters. For example, in hot weather, the system automatically lowers the EER coefficient based on the predictive model, thus more accurately reflecting the increase in heat emission caused by the decrease in energy efficiency of the air conditioning equipment. This application, by establishing a dynamic correlation model between the EER coefficient and environmental parameters, enables thermal emission calculations to reflect the actual operating efficiency of the air conditioning equipment under different operating conditions in real time, thereby significantly reducing simulation errors caused by static assumptions about energy efficiency parameters. Through the above technical solution, this application effectively solves the calculation deviation problem caused by the neglect of dynamic changes in air conditioning energy efficiency in existing models, so that the simulation results of building heat emissions can more accurately reflect the interaction between air conditioning heat exhaust and ambient temperature rise, and provide reliable data support for optimizing building layout and air conditioning system design.

[0134] The above is a detailed description of an embodiment of a building thermal emission simulation modeling method provided by this application. The following is a detailed description of an embodiment of a building thermal emission simulation modeling device provided by this application.

[0135] Please see Figure 7 This application provides a modeling device for simulating building heat emissions, comprising:

[0136] Data acquisition unit 201 is used to collect building structure data and thermal emission environmental data of the target area;

[0137] Anthropogenic heat emission modeling unit 202 is used to construct anthropogenic heat emission calculation model through enthalpy difference method and radiation heat transfer logic. The anthropogenic heat emission calculation model is used to quantify the heat emission data of air conditioner outdoor unit.

[0138] The spatial temperature change modeling unit 203 is used to construct a temperature change model based on building structure data and the distribution status and heat emission data of air conditioning outdoor units in the target area. The temperature change model is used to determine the distribution status of the heat storage space in the target area and the temperature change data of the heat storage space under different outdoor wind speeds. The heat storage space is a virtual space divided based on the location of the air conditioning outdoor units.

[0139] The building heat transfer modeling unit 204 is used to divide the urban canopy space structure into several thermal layers along the vertical direction according to the distribution of the heat storage space and the urban canopy space structure of the target area, and to construct the heat balance relationship between adjacent thermal layers. Based on the division of thermal layers and the heat balance relationship, a heat rise model is constructed.

[0140] The heat emission simulation modeling unit 205 is used to integrate the temperature change model and the heat rise model to obtain the building heat emission simulation model, so as to obtain the building heat emission simulation results of the target area based on the calculation of the building heat emission simulation model.

[0141] like Figure 8 As shown in the embodiment of this application, a building thermal emission simulation modeling terminal is provided. The terminal implementation types include, but are not limited to, personal computers, industrial computers, servers, and embedded intelligent devices. The main components of the terminal include: a memory 33 and a processor 31. The memory 33 and the processor 31 can be connected through a communication bus 34.

[0142] Memory 33 is used to store program code, which is used to implement a building heat emission simulation modeling method as provided in the above embodiments;

[0143] Processor 31 is used to read and execute program code.

[0144] The fourth aspect of this application provides a computer-readable storage medium storing program code, which is read and executed by a processor to implement a building thermal emission simulation modeling method as provided in the above embodiments.

[0145] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the terminals, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0146] In the several embodiments provided in this application, it should be understood that the disclosed terminals, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units through some interfaces, and may be electrical, mechanical, or other forms.

[0147] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0148] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0149] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0150] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0151] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0152] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A modeling method for simulating building heat emissions, characterized in that, include: Collect building structure data and thermal emission environmental data for the target area; An anthropogenic heat emission calculation model is constructed using the enthalpy difference method and radiation heat transfer logic. This model is used to quantify the heat emission data of the outdoor unit of an air conditioner. Based on the building structure data and the distribution status and heat emission data of the outdoor air conditioning units in the target area, the space is divided with each outdoor air conditioning unit as the origin and in combination with a preset space size threshold to obtain the heat storage space corresponding to each outdoor air conditioning unit. Based on the heat storage space, combined with the preset outdoor wind speed conditions and the heat transfer relationship under different outdoor wind speed conditions, the temperature change calculation formula under the outdoor wind speed conditions is determined. Based on the temperature change calculation formula, a temperature change model is constructed. The temperature change model is used to determine the distribution status of the heat storage space in the target area and the temperature change data of the heat storage space under different outdoor wind speed conditions. The heat storage space is a virtual space divided based on the location of the outdoor air conditioning units. The outdoor wind speed conditions include: normal wind speed conditions and quiet wind speed conditions. Based on the distribution of the thermal storage space and the urban canopy spatial structure of the target area, the urban canopy spatial structure is divided into several thermal layers along the vertical direction, and a thermal balance relationship between adjacent thermal layers is constructed. Based on the division of the thermal layers and the thermal balance relationship, a heat uplift model is constructed. By integrating the temperature change model and the heat rise model, a building heat emission simulation model is obtained, and the building heat emission simulation results for the target area are obtained based on the calculation of the building heat emission simulation model. The specific formula for calculating the temperature change is as follows: In the formula, This refers to the temperature change data of the heat storage space under normal wind speed conditions. This refers to the temperature change data of the heat storage space under quiet, low-wind-speed conditions. The density of air; The volume of the heat storage space; This represents the airflow flux from the outside into the thermal storage space. and The specific heat capacity of dry air versus saturated water vapor; This refers to the humidity content of the air. For the air conditioner's heat dissipation time, This indicates the amount of air flowing into the heat storage space due to thermal pressure. This refers to the heat emission data of the outdoor unit of the air conditioner.

2. The modeling method for a building heat emission simulation model according to claim 1, characterized in that, The calculation formula for the anthropogenic heat emission calculation model is as follows: In the formula, This refers to the heat emission data of the outdoor unit of the air conditioner at time t. To dissipate heat from the air outlet of the outdoor unit of the air conditioner at time t. The convective heat transfer on the surface of the outdoor unit of the air conditioner at time t. The amount of heat dissipated by long-wave radiation from the surface of the outdoor unit of the air conditioner at time t. and These are the specific heat capacities of the air at the air outlet and side air inlet of the outdoor unit of the air conditioner at time t and the average temperature, respectively. and These represent the air density at the air outlet and side air inlet of the outdoor unit of the air conditioner at time t and the average temperature, respectively. and Let t be the air velocity at the side air inlet and the back air inlet of the outdoor unit of the air conditioner; and This indicates the area of ​​the side air inlet and the back air inlet of the outdoor unit of the air conditioner; and These are the exhaust air temperature at the outdoor unit's air outlet and the intake air temperature at the side air inlet, respectively. The air intake temperature is the temperature at the back of the air inlet. For heat dissipation time, This refers to the surface area of ​​the outdoor unit of the air conditioner. The heat transfer coefficient of the outdoor unit surface of the air conditioner. Let t be the surface of the outdoor unit of the air conditioner. Let t be the air temperature near the surface of the outdoor unit of the air conditioner. The emissivity of the outdoor unit surface of the air conditioner. This represents the blackbody radiation coefficient.

3. The modeling method for a building heat emission simulation model according to claim 1, characterized in that, The specific expression for the heat buoyancy model is as follows: In the formula, n represents the number of thermal layers. and These represent the rates of heat inflow / outflow at the nth layer, respectively. The thermal pressure difference between the nth layer and the layer below. The thermal pressure difference between the nth layer and the layer above. , and Let n be the air density of the nth, n-1th, and n+1th layers. The average air density of the nth layer and the (n-1)th layer is given. The average air density of the nth layer and the (n+1)th layer and Here, represents the length and width of the thermal storage space, and g is the acceleration due to gravity. Calculation height for thermal pressure ventilation.

4. The modeling method for building heat emission simulation model according to claim 1, characterized in that, Also includes: Based on the air conditioning equipment information in the target area, the thermal emission environmental data and the EER coefficient of the air conditioning equipment are correlated to construct an EER performance prediction model, which is then integrated into the building thermal emission simulation model.

5. A modeling device for simulating building heat emissions, characterized in that, include: The data acquisition unit is used to collect building structure data and thermal emission environmental data of the target area. An anthropogenic heat emission modeling unit is used to construct an anthropogenic heat emission calculation model using the enthalpy difference method and radiation heat transfer logic. The anthropogenic heat emission calculation model is used to quantify the heat emission data of the outdoor unit of the air conditioner. A spatial temperature change modeling unit is used to divide the space based on the building structure data and the distribution status and heat emission data of the outdoor air conditioning units in the target area, taking each outdoor air conditioning unit as the origin and combining a preset spatial size threshold to obtain the heat storage space corresponding to each outdoor air conditioning unit. Based on the heat storage space, combined with preset outdoor wind speed conditions and heat transfer relationships under different outdoor wind speed conditions, the unit determines the temperature change calculation formula under the outdoor wind speed conditions, and constructs a temperature change model based on the temperature change calculation formula. The temperature change model is used to determine the distribution status of the heat storage space in the target area and the temperature change data of the heat storage space under different outdoor wind speed conditions. The heat storage space is a virtual space divided based on the location of the outdoor air conditioning units. The outdoor wind speed conditions specifically include: normal wind speed conditions and quiet wind speed conditions. The building heat transfer modeling unit is used to divide the urban canopy space structure into several thermal layers along the vertical direction according to the distribution state of the heat storage space and the urban canopy space structure of the target area, and to construct the heat balance relationship between adjacent thermal layers. Based on the division results of the thermal layers and the heat balance relationship, a heat rise model is constructed. The heat emission simulation modeling unit is used to integrate the temperature change model and the heat rise model to obtain a building heat emission simulation model, so as to obtain the building heat emission simulation results of the target area based on the calculation of the building heat emission simulation model. The specific formula for calculating the temperature change is as follows: In the formula, This refers to the temperature change data of the heat storage space under normal wind speed conditions. This refers to the temperature change data of the heat storage space under quiet, low-wind-speed conditions. The density of air; The volume of the heat storage space; This represents the airflow flux from the outside into the thermal storage space. and The specific heat capacity of dry air versus saturated water vapor; This refers to the humidity content of the air. For the air conditioner's heat dissipation time, This indicates the amount of air flowing into the heat storage space due to thermal pressure. This refers to the heat emission data of the outdoor unit of the air conditioner.

6. A modeling terminal for simulating building heat emissions, characterized in that, include: Memory and processor; The memory is used to store program code, which is used to implement the building thermal emission simulation model modeling method as described in any one of claims 1 to 4; The processor is used to read and execute the program code.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium contains program code that is read and executed by a processor to implement a building heat emission simulation modeling method as described in any one of claims 1 to 4.

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