Polar region environment building thermal environment analysis method and device based on partition model

Abstract

The invention discloses a polar region environment building thermal environment analysis method and device based on a partition model, and relates to the field of building energy management. The technical defects that in the prior art, according to an existing building thermal environment modeling and heat supply load calculation technology, dynamic changes of a heat source are difficult to track in real time, precision and adaptability of a building partition model are insufficient, and unified modeling is difficult due to mutual influence of an external environment and a building internal heat source are overcome. According to the technical scheme, the polar region environment building thermal environment analysis method based on the partition model comprises the steps that a building is divided into an external region and an internal region; analyzing the internal heat source increment of the building; based on the heat transfer characteristics of each area, respectively calculating the heat loads of the outer area and the inner area; and the overall heat load of the building is obtained by integrating the calculation results of the external environment and the internal heat source, and the output of the building heat supply system is dynamically adjusted according to the heat source data changing in real time. The method is suitable for prediction work of the building thermal environment.

Description

Technical Field

[0001] It involves the field of building energy management, especially building heat pipe calculation and building thermal environment optimization technology. Background Art

[0002] With increasing demands for building energy efficiency and indoor comfort, analyzing and optimizing the building thermal environment has become a critical issue in modern building design and operation. For complex structures like large office buildings and commercial towers, the core of this research is how to accurately calculate indoor-outdoor temperature differences, heat loss, and heat gain, thereby optimizing the building's heating system to reduce energy consumption and improve comfort.

[0003] 1. Development of building thermal environment models

[0004] Currently, building thermal environment analysis is primarily based on physical and statistical heat transfer models. Physical heat transfer models accurately calculate the flow of heat within a building by analyzing physical phenomena such as heat conduction, convection, and radiation. These models typically incorporate heat transfer processes within the building's envelope, air infiltration, solar radiation, and the contribution of internal heat sources. With the advancement of computer technology, a growing number of building thermal environment simulation tools (such as EnergyPlus and TRNSYS) have emerged, enabling accurate simulation of a building's thermal performance under diverse climate conditions.

[0005] For example, EnergyPlus simulates building parameters such as internal temperature and heat load using a dynamic time step. It can handle different heat transfer patterns in the building envelope, as well as the interaction between solar radiation and air conditioning systems. Many researchers use this model to optimize building design and energy efficiency, for example by evaluating the impact of changes in building materials, window area, and building form on heat load.

[0006] 2. Analysis of internal and external heat sources of buildings

[0007] Heat sources within buildings primarily include heat released by equipment (such as air conditioners and lighting) and personnel. Heat gain from equipment and lighting is typically proportional to electricity consumption, making online monitoring of power data an effective method for determining heat gain. For example, recent research has utilized smart meters and sensors to monitor equipment power consumption in real time and, using mathematical models, convert this into heat gain, providing accurate data on internal heat source loads.

[0008] Furthermore, heat release from occupants significantly impacts the building's thermal environment. This heat gain can be divided into sensible heat and latent heat. The former is directly related to room temperature, while the latter is related to humidity fluctuations. Numerous studies have considered occupant heat dissipation in various scenarios, particularly in high-density office environments. The impact of occupant density and activity intensity on the thermal environment requires detailed modeling.

[0009] 3. Partitioned thermal environment model

[0010] Traditional building thermal environment simulations often treat the building as a whole, ignoring the differences in thermal characteristics between different areas (such as the top floor, ground floor, interior and exterior areas). In recent years, an increasing number of studies have begun to adopt zoning models, dividing the building into multiple distinct thermal environment zones to more precisely analyze heat transfer and heat gain in each area.

[0011] The zoning model considers the varying heat transfer characteristics of the building envelope, the varying heat loads on different floors, and the influence of external climatic conditions, enabling more accurate predictions of temperature distribution and heat loads across building zones. By using appropriate zoning, building designers can optimize the configuration of the building's heating and cooling systems based on the thermal characteristics of each zone, achieving energy savings.

[0012] For example, in the zoning models of some modern buildings, different thermal calculation methods are used for external areas (such as those near exterior walls and windows) and internal areas (such as the core area and areas covered by central air conditioning). External areas are more sensitive to heat transfer, while internal areas are relatively stable and not directly affected by external temperature differences. This approach can significantly improve the energy efficiency and comfort of buildings.

[0013] 4. Technical problems existing in existing technologies

[0014] Although existing technologies have made great progress in building thermal environment modeling and heating load calculation, some technical problems still exist, mainly in the following aspects:

[0015] Dynamic changes in heat sources are difficult to track in real time: Most existing building heat load calculation models typically assume that heat sources are stable. However, in practice, heat gains from equipment, lighting, and occupants are dynamic and affected by factors such as building usage and time of day. Therefore, traditional methods struggle to accurately calculate heat loads in real time, especially in office buildings, where changes in occupancy and equipment usage can significantly impact heat loads.

[0016] Inadequate accuracy and adaptability of building zoning models: Although zoning models have been proposed and applied to building thermal environment analysis, existing zoning methods are often overly simplified and fail to fully account for the complexity of building structures. For example, many models fail to consider factors such as air infiltration between interior and exterior areas and differences in heat transfer between different floors, which limits the accuracy and adaptability of the models.

[0017] The mutual influence between the external environment and the internal heat sources of the building is difficult to model uniformly: In some high-end buildings, external climate conditions (such as wind speed, humidity, and solar radiation) and internal heat sources (such as air conditioning and equipment) influence each other. Traditional building heat load models often cannot integrate these factors well, resulting in deviations in the calculation results. Summary of the Invention

[0018] To address the technical deficiencies in existing building thermal environment modeling and heating load calculation technologies, such as difficulty in real-time tracking of dynamic changes in heat sources, insufficient accuracy and adaptability of building zoning models, and difficulty in unified modeling of the mutual influence between the external environment and internal building heat sources, the present invention provides the following technical solutions:

[0019] A thermal environment analysis method for buildings in polar environments based on a zoning model, comprising:

[0020] Steps to divide a building into exterior and interior areas;

[0021] Steps to analyze internal heat gain in a building;

[0022] The steps of calculating the heat loads for the exterior and interior zones separately based on the heat transfer characteristics of each zone;

[0023] By integrating the calculation results of the external environment and internal heat sources, the overall heat load of the building is obtained, and the output of the building heating system is dynamically adjusted according to the real-time changing heat source data.

[0024] According to the polar environment building thermal environment analysis method based on the zoning model, it also includes the steps of real-time integration of the interaction between the building's external environmental factors and internal heat sources, real-time adjustment of the heating load based on the dynamic changes of external climate conditions and the building's internal heat sources, optimization of the building's heating efficiency and maintenance of a stable indoor thermal environment.

[0025] According to the polar environment building thermal environment analysis method based on a zoning model, among the external area and the internal area, the external area takes into account the influence of heat transfer and air infiltration of the building's outer structure, and the internal area is set to a stable temperature.

[0026] According to the polar environment building thermal environment analysis method based on a zoning model, the internal heat source increment includes heat from equipment, power consumption, lighting and personnel activities.

[0027] According to the polar environment building thermal environment analysis method based on the partition model, in the process of calculating the heat loads of the external area and the internal area, the heat load of the external area is affected by the external environment temperature, solar radiation and air infiltration, and the heat load of the internal area is mainly affected by the internal heat source;

[0028] A polar environment building thermal environment analysis device based on a partition model, comprising:

[0029] Modules that divide the building into exterior and interior areas;

[0030] Module for analyzing the internal heat source increase of buildings;

[0031] A module that calculates the heat loads for the exterior and interior zones separately based on the heat transfer characteristics of each zone;

[0032] By integrating the calculation results of the external environment and internal heat sources, the overall heat load of the building is obtained, and the output of the building heating system is dynamically adjusted according to the real-time changing heat source data.

[0033] A computer storage medium is used to store a computer program. When the computer program is read by a computer, the computer executes the method described.

[0034] A computer includes a processor and a storage medium. When the processor reads the computer program stored in the storage medium, the computer executes the method.

[0035] The computer program product, as a computer program, implements the method when the computer program is executed.

[0036] Compared with the prior art, the technical solution provided by the present invention is beneficial in that:

[0037] By introducing a real-time, zone-based heating load model and dynamic heat source tracking, this solution successfully addresses existing technologies' issues of insufficient accuracy and difficulty tracking dynamic heat source changes. Specifically, each technical measure in the solution significantly contributes to the improved results.

[0038] First, by finely zoning the building, the solution can independently calculate the heat load for different areas, rather than treating the entire building as a unified whole. This zoning model, especially the differentiated modeling between the top floor, bottom floor, and ordinary floors, can significantly improve the accuracy of heat load calculations. Compared with the traditional integrated heat load calculation method, this method can more accurately reflect the differences in heat transfer between areas. For example, traditional methods usually treat the heat loads of the external and internal areas of the entire building the same, while ignoring the specific impact of external temperature differences on the building's outer structure, resulting in calculation errors. This solution, through regional division, analyzes the heat loss of each floor and each side of the building's outer envelope separately, thereby effectively reducing errors and enhancing the system's prediction capabilities.

[0039] Secondly, the dynamic heat source tracking mechanism introduced in the solution enables the heat load calculation to be adjusted according to real-time changes in internal heat sources (such as equipment, lighting, personnel, etc.). This method improves the timeliness and accuracy of heat load forecasting by updating the heat source increment in real time based on power monitoring and personnel activity data. Compared with the traditional static heat load model, this method can better cope with the uncertainty of equipment and personnel usage in actual applications. For example, the traditional method assumes that the heat increment of equipment and lighting is constant, but in actual situations, especially in office environments, the frequency of equipment startup and the density of personnel may change at any time, resulting in the traditional model being unable to accurately reflect changes in heat increment. The dynamic heat source tracking method can adjust the calculation results in real time to better meet actual needs, thereby optimizing the building's heating system.

[0040] In addition, the mutual influence of external environmental factors and internal heat sources in the scheme is incorporated into the real-time calculation model. This approach effectively integrates the interaction between external climate (such as temperature, humidity, solar radiation) and internal heat sources (such as air conditioning, lighting, equipment, etc.), and improves the comprehensiveness and accuracy of building heat load calculations. Compared with the practice of treating external environmental factors and internal heat sources separately in some existing technologies, this scheme can more realistically reflect the dynamic changes in building energy consumption and thermal environment, and is especially suitable for complex climatic conditions and building structures. In existing technologies, external climate and internal heat sources of buildings are often simplified, making it difficult for the system to cope with complex heat load fluctuations. This scheme ensures more accurate prediction results by taking into account the influence of both.

[0041] Overall, this solution addresses the shortcomings of existing building heat load calculation models through refined zoning, dynamic heat source tracking, and the integration of the external environment and heat source interactions. This significantly improves the accuracy of building thermal environment predictions and the system's adaptability. Compared to existing technologies, these measures not only enhance the real-time and accuracy of calculations but also provide more scientific data support for optimizing building heating systems.

[0042] It is suitable for use in the prediction of building thermal environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 Schematic diagram of indoor and outdoor areas during the modeling process;

[0044] Among them, Outdoor Area refers to the area outside the building structure, representing the external environment space; Building Envelope refers to the physical barrier between the exterior of the building and the environment (such as walls, windows, roof, etc.), which is responsible for insulation and sealing; Interior Zone refers to the internal area, the core area of ​​the building isolated from the external area, with relatively stable temperature, and is not directly affected by the heat transfer or air infiltration of the building's exterior; Exterior Zone refers to the external area, the area affected by the heat transfer and air infiltration of the building's exterior structure; D represents the distance or interval between the interior area and the exterior area, and the boundary position of the exterior and interior areas in the building zoning model. DETAILED DESCRIPTION

[0045] In order to make the advantages and benefits of the technical solution provided by the present invention more clearly reflected, the technical solution provided by the present invention is now further described in detail with reference to the accompanying drawings, specifically:

[0046] Implementation 1: This implementation provides a method for analyzing the thermal environment of a building in a polar environment based on a partition model, including:

[0047] Steps to divide a building into exterior and interior areas;

[0048] Steps to analyze internal heat gain in a building;

[0049] The steps of calculating the heat loads for the exterior and interior zones separately based on the heat transfer characteristics of each zone;

[0050] By integrating the calculation results of the external environment and internal heat sources, the overall heat load of the building is obtained, and the output of the building heating system is dynamically adjusted according to the real-time changing heat source data.

[0051] It also includes real-time integration of the interaction between the building's external environmental factors and internal heat sources, real-time adjustment of the heating load based on the dynamic changes of external climate conditions and the building's internal heat sources, optimization of the building's heating efficiency and maintenance of a stable indoor thermal environment.

[0052] Of the external area and the internal area, the external area takes into account the influence of heat transfer and air infiltration of the building's outer structure, and the internal area is set to a stable temperature.

[0053] The internal heat source increase includes heat from equipment, electricity consumption, lighting and personnel activities.

[0054] In the process of calculating the heat loads of the external area and the internal area, the heat load of the external area is affected by the external ambient temperature, solar radiation and air infiltration, and the heat load of the internal area is mainly affected by the internal heat source;

[0055] Implementation Method 2: This implementation method further describes the technical solution provided in Implementation Method 1. Specifically:

[0056] Based on the building zoning heat load model and dynamic heat source tracking mechanism, more accurate building thermal environment analysis and heating load forecasting are achieved through precise division of building areas, real-time update of heat source increments, and integration of external environmental influences. The specific implementation steps are as follows:

[0057] 1. Establishment of building zoning model

[0058] First, a zoning model of the building is established, dividing the building into an external zone and an internal zone. The external zone includes areas affected by heat transfer and air infiltration from the building's outer structure, while the internal zone is isolated from the external zone, has a relatively stable temperature, and is not directly affected by changes in the external environment.

[0059] External area: This area includes the building facade, windows, doors and other parts that are in direct contact with the outside world. Its heat load is mainly affected by factors such as external temperature, wind speed, solar radiation and air infiltration.

[0060] Internal area: This includes the core area of ​​the building and the area covered by central air conditioning. It is not directly affected by the external climate. Its heat load is mainly affected by internal heat sources such as equipment, lighting, and personnel.

[0061] Through this zoning model, the building can be divided into multiple thermal environment zones, so that the heat load of each zone can be calculated independently, avoiding the accuracy problems caused by the traditional method of treating the entire building as a single thermal system.

[0062] 2. Dynamic tracking of building heat source increments

[0063] Based on the zoning model, dynamic heat source increment tracking is implemented. This process dynamically calculates the increment of internal heat sources by real-time monitoring of equipment, power consumption, personnel activities and other data.

[0064] Heat gain from equipment and lighting: To measure the heat gain from equipment and lighting, we use power consumption data monitoring. The power consumption of each device and lighting unit is proportional to the corresponding heat gain. Therefore, by monitoring power consumption in real time, we can determine the heat gain generated by each device and lighting unit.

[0065] Occupant heat gain: Occupant heat gain is determined by the intensity of their activity and the number of people in the building. This includes both sensible and latent heat gain. Sensible heat is related to changes in indoor temperature, while latent heat is related to changes in humidity. By online monitoring the number of people and their activity intensity within the building, the heat gain generated by people can be calculated.

[0066] The output of this step is real-time heat source increment data for further use in subsequent steps.

[0067] 3. Mutual influence between external environment and internal heat source of the building

[0068] Next, consider the interaction between the building's external environmental factors and internal heat sources. The building's heat load is not only affected by indoor heat sources, but is also closely related to external climatic conditions such as external temperature, humidity, and solar radiation.

[0069] External climate: Meteorological data is used to obtain external environmental parameters such as temperature, humidity, and solar radiation. These parameters directly affect the heat transfer process of the building's outer structure and the heat loss due to air infiltration.

[0070] Interaction between internal heat sources and the external environment: There is an interaction between the increase in internal heat sources and the external environment. For example, an increase in external temperature may lead to increased heat transfer from the building envelope, requiring more internal heat sources to maintain indoor temperature. Similarly, when solar radiation increases, the building facade may absorb more heat, affecting the indoor air conditioning load.

[0071] The output of this step is the heat load data of the entire building, which comprehensively considers the interaction between the external environment and internal heat sources and can accurately reflect the real-time thermal environment of the building.

[0072] 4. Calculation of heat load by building partition

[0073] Based on the first three steps, the building heat load calculation phase begins. The heat load of each partition is determined by different heat sources and external environmental factors. The specific calculation is as follows:

[0074] External area heat load calculation: The external area heat load is determined by factors such as external temperature differences, solar radiation, and air infiltration. Calculate the heat loss from the external area based on external climate conditions and the heat transfer characteristics of the building's outer structure.

[0075] Internal area heat load calculation: The heat load of the internal area is mainly affected by equipment, lighting and personnel. The heat gain of the internal area is calculated by combining the power consumption of the equipment, lighting intensity, and the number and activity intensity of personnel.

[0076] Thermal balance between zones: Balance heat flow between zones to ensure the proper distribution of heat loads. By analyzing the heat transfer characteristics of different floors and zones and calculating heat exchange between zones, we ensure the accuracy of overall heat load calculations.

[0077] The output of this step is the heat load data for each area and each floor, which provides an accurate calculation basis for subsequent optimization of the heating system.

[0078] 5. Real-time heating load adjustment and optimization

[0079] Finally, by monitoring changes in the building's heat load in real time, the heating load can be adjusted and optimized. Based on the heat load data for each zone, the heating system's operating status is dynamically adjusted to ensure that the heating system minimizes energy consumption while still meeting indoor temperature requirements.

[0080] Real-time heating load adjustment: Dynamically adjusts the heating system's power output based on temperature differences between inside and outside the building, changes in heat source increments, and changes in the external environment. For example, when the outside temperature is low, the heating system automatically increases output to maintain a stable indoor temperature; when the indoor heat source increments significantly, the heating system can appropriately reduce output to avoid energy waste.

[0081] Energy efficiency optimization: Through real-time heat load data analysis, the building heating system can be optimized to reduce unnecessary energy consumption and ensure that the building's heating system operates efficiently and energy-savingly.

[0082] 6. Comprehensive feedback and system adjustments

[0083] During implementation, the system continuously adjusts based on real-time heat load data and building usage to ensure the stability and comfort of the building's thermal environment. By continuously collecting and analyzing data, the system can self-optimize in real-world applications, further improving the accuracy of building heat load forecasts and the energy efficiency of the heating system.

[0084] Implementation Method 3: Combination Figure 1 This embodiment further describes the above technical solution in detail through specific examples, specifically:

[0085] The exterior area of ​​a building refers to the area that is directly affected by the heat transfer and air infiltration of the building's envelope. In contrast, the interior area refers to the area that is isolated from the exterior area and is characterized by relatively stable temperature conditions that are not directly affected by the heat transfer and air infiltration of the building's envelope. Figure 1 shown.

[0086] Determining the structure of a zoning model for a large office building involves four steps. First, systematically summarize the heat transfer models for each building component, including the building envelope, ceiling, doors, and windows. Second, analyze the heat gain from internal heat sources, primarily equipment, lighting, and personnel. Third, establish a thermal balance model for the internal and external boundaries of different floors. Finally, by integrating the findings from these four steps, the structure of the zoning model for a large office building is determined.

[0087] The building envelope heat loss for a specific floor can be obtained as follows:

[0088]

[0089] is the heat loss of the building envelope of a certain floor, W. x is the glass conversion rate of a certain floor, %. mc is the orientation correction factor. K wai K is the heat transfer coefficient of a specific wall i, W / (℃·m2). wij is the heat transfer coefficient of window j, W / (℃·m2). tin and tou are the indoor and outdoor temperatures of the building, respectively, in ℃. wa and n wi Number of building walls and windows, respectively. Specific floor.

[0090] Windows for heat loss due to air infiltration can be obtained by:

[0091]

[0092] C p is the specific heat of air, joule / (kg·°C). ρW is the air density, in kg / m3. The specific values ​​of the parameters mci, Cp, and ρW can be obtained by referring to the existing technical literature.

[0093] at the same time, It refers to the heat loss due to the infiltration of cold air through the door, which affects the indoor thermal environment. It can be calculated by the following formula:

[0094]

[0095] n do is the number of gates on a particular gate. V adi is the air flow through door i.

[0096] The absorbed direct and diffuse solar radiation flux can be expressed as:

[0097]

[0098] n wi is the number of windows on the floor, A wk is the area of ​​the kth window, in m2. J is the solar radiation intensity, in W / m2.

[0099] is the heat from the ground, W. A gr is the ground floor area, square meters.

[0100] The heat transfer process in a building varies from floor to floor. and The thermal environment of the top floor is also affected by the heat transfer from the ceiling It can be expressed as:

[0101]

[0102] is the heat loss from the ceiling, W. K ce is the heat transfer coefficient of the ceiling, W / (℃·m 2 ). A ce is the ceiling area, m 2 .

[0103] Internal heat sources mainly include equipment, lighting, personnel, etc., so the internal heat gain is:

[0104]

[0105] The heat gain of equipment and lighting can be monitored online entirely based on power data:

[0106]

[0107]

[0108] and Indicates the power used for equipment and lighting, W. and is the heat gain of the equipment and lighting, W. They are the parameters in the discretized transfer function. eq 1-a eq 3.a li 1-a li 3.b eq 0-b eq 3.b li 0-b li 2 is the parameter.

[0109]

[0110] represents the total heat dissipation of personnel, W / m 2 .n pe is the number of people on the floor. fl is the area of ​​a specific floor, m 2 . and are the latent heat dissipation and sensible heat dissipation of personnel, W respectively.

[0111] In order to facilitate the establishment of the model, the following assumptions are adopted:

[0112] (1) The internal heat is evenly distributed on the floor;

[0113] (2) The indoor temperature distribution is considered to be uniform;

[0114] (3) Ignore the delay time of the heat transfer process of the enclosure structure;

[0115] (4) Heat loss assumptions in all directions are consistent

[0116] Based on the above assumptions and the first law of thermodynamics, the heat balance equation governing the boundaries of the top floor indoor and outdoor areas can be expressed as

[0117]

[0118] A t and A in The areas of the top floor and the inner area respectively, in square meters.

[0119] For buildings without underground floors, since the thermal environment of the first floor is affected by the ground, the thermal balance equation of the boundary between the indoor and outdoor areas of the first floor can be expressed as:

[0120]

[0121] f is the area of ​​the underground floor area in square meters.

[0122] Thermal equilibrium process at the boundary between inner and outer regions:

[0123]

[0124] Combining the above content, the internal area model is:

[0125]

[0126]

[0127]

[0128] The relationship between floor area, internal area, boundary length and D value is as follows:

[0129] A f -A in =L bef D f

[0130] A t -A in =L bet D t

[0131] A n -A in =L ben D n

[0132] Where, L bef , L bet , Lben are the partition boundary lengths of the first floor, top floor, and ordinary floor, respectively, m 2 ;D f 、D t 、D n The distance between the building envelope and the boundary of the first floor, top floor, and ordinary floor, m 2 .

[0133] Therefore, the partition model of the first floor, upper floor and top floor can be expressed as:

[0134]

[0135]

[0136]

[0137] In this implementation, heat gain in indoor areas is excluded from the real-time heating load, while heat gain in outdoor areas is considered a safety margin and incorporated into the real-time heating load for large buildings. This ensures a stable indoor thermal environment while reducing the real-time heating load. Using the zoning model, the real-time heating load can be calculated as follows:

[0138]

[0139]

[0140]

[0141]

[0142] The real-time heating load of the first floor, top floor and ordinary floors, W / m 2 To study the real-time heating load of the building, W / / m 2 .

[0143] The above further describes the technical solution provided by the present invention in detail through several specific embodiments in order to highlight the advantages and benefits of the technical solution provided by the present invention. However, the several specific embodiments described above are not intended to limit the present invention. Any reasonable modification and improvement of the present invention, combination of embodiments and equivalent replacement based on the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for analyzing the thermal environment of buildings in polar environments based on a partition model, characterized in that: include: Steps to divide a building into exterior and interior areas; Steps to analyze internal heat gain in a building; The steps of calculating the heat loads for the exterior and interior zones separately based on the heat transfer characteristics of each zone; By integrating the calculation results of the external environment and internal heat sources, the overall heat load of the building is obtained, and the output of the building heating system is dynamically adjusted according to the real-time changing heat source data.

2. The polar environment building thermal environment analysis method based on a partition model according to claim 1 is characterized in that: It also includes real-time integration of the interaction between the building's external environmental factors and internal heat sources, real-time adjustment of the heating load based on the dynamic changes of external climate conditions and the building's internal heat sources, optimization of the building's heating efficiency and maintenance of a stable indoor thermal environment.

3. The polar environment building thermal environment analysis method based on a partition model according to claim 1 is characterized in that: Of the external area and the internal area, the external area takes into account the influence of heat transfer and air infiltration of the building's outer structure, and the internal area is set to a stable temperature.

4. The method for analyzing thermal environment of buildings in polar environments based on a partition model according to claim 1, characterized in that: The internal heat source increase includes heat from equipment, electricity consumption, lighting and personnel activities.

5. The method for analyzing thermal environment of buildings in polar environments based on a partition model according to claim 1 is characterized in that: In the process of calculating the heat loads of the external area and the internal area, the heat load of the external area is affected by the external ambient temperature, solar radiation and air infiltration, and the heat load of the internal area is mainly affected by the internal heat source.

6. A polar environment building thermal environment analysis device based on a partition model, characterized in that: include: Modules that divide the building into exterior and interior areas; Module for analyzing the internal heat source increase of buildings; A module that calculates the heat loads for the exterior and interior zones separately based on the heat transfer characteristics of each zone; By integrating the calculation results of the external environment and internal heat sources, the overall heat load of the building is obtained, and the output of the building heating system is dynamically adjusted according to the real-time changing heat source data.

7. A computer storage medium for storing a computer program, characterized in that: When the computer program is read by a computer, the computer executes the method according to claim 1 .

8. A computer comprising a processor and a storage medium, characterized in that When the processor reads the computer program stored in the storage medium, the computer executes the method according to claim 1 .

9. A computer program product, being a computer program, characterized in that When the computer program is executed, the method according to claim 1 is implemented.

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