Optimization method of hot-humid dual-effect regulated inlaid pipe composite enclosure structure

Abstract

The application provides an optimization method of a heat and humidity double-effect regulated embedded pipe type composite enclosure, comprising the following steps: obtaining basic parameters of the embedded pipe type composite enclosure, building shape information, building use information, external meteorological parameters and hygroscopic material types; using a predetermined simulation algorithm, establishing a building dynamic simulation model of the embedded pipe type composite enclosure based on the collected parameters of the enclosure, the building, the meteorological conditions and the hygroscopic material; adjusting the design parameters of the composite enclosure based on the building dynamic simulation model, obtaining the simulated temperature, humidity and energy consumption of the indoor environment under the corresponding design parameters; the design parameters comprise embedded pipe parameters, structure layer thickness, embedded pipe layer position and hygroscopic layer thickness; and determining the optimal composite enclosure parameters from the design parameters based on the deviation of the simulated temperature and humidity from the target temperature and humidity and the energy consumption level, so as to generate an optimization scheme meeting the target indoor comfort and energy saving.

Description

Technical Field

[0001] This disclosure relates to the technical field of building structure optimization, and more specifically, to an optimization method for an embedded tubular composite enclosure structure for indoor thermal and humidity dual-effect regulation. Background Technology

[0002] The temperature and humidity inside a building have a significant impact on human comfort. While pursuing thermal comfort by controlling the temperature and humidity inside the building, different cooling, heating, dehumidification, and humidification systems also affect the building's energy consumption, leading to an increase in the building's overall energy consumption. According to a report by the International Energy Agency, buildings account for 30% of global energy consumption and 26% of global direct carbon dioxide emissions. Good indoor energy supply facilities and humidity control systems can not only meet people's needs for thermal comfort but also reduce building energy consumption and carbon dioxide emissions.

[0003] Currently, building interior temperature control primarily utilizes single-split air conditioning, multi-split air conditioning, radiator systems, and floor radiant systems. However, these methods cannot simultaneously meet the needs of heating in winter and cooling in summer. Furthermore, these temperature control methods require modifications to the indoor environment or the installation of additional equipment, leading to increased initial investment. In addition, traditional air conditioning systems only treat indoor air, making it difficult to control the radiant temperature of various indoor surfaces, still resulting in discomfort for occupants. Moreover, traditional floor radiant systems are designed only for winter heating, neglecting summer cooling, and their use in summer often leads to condensation on radiant surfaces, further contributing to indoor mold growth and structural damage.

[0004] Currently, three main dehumidification methods are used in buildings: dew point dehumidification, liquid dehumidification, and solid desiccant dehumidification. Dew point dehumidification uses a surface cooler to lower the air temperature to the air's dew point, causing moisture to precipitate out and achieving dehumidification. However, the precipitated moisture can lead to indoor hygiene problems and increase building energy consumption. Liquid dehumidification and solid desiccant dehumidification absorb excess indoor moisture through adsorption. However, both methods require the installation of building dehumidification systems, such as rotary dehumidifiers, to meet the needs of absorbent regeneration, thus increasing initial investment, increasing the complexity of the building control system, and potentially leading to increased building energy consumption and environmental pollution from dehumidification materials. Summary of the Invention

[0005] In view of this, this disclosure provides an optimization method for an embedded tubular composite enclosure structure for indoor thermal and humidity dual-effect regulation, to at least partially solve the above-mentioned technical problems. Specifically, the technical solution provided by this disclosure is as follows:

[0006] This disclosure provides an optimization method for an embedded tubular composite enclosure structure with dual thermal and moisture regulation, including:

[0007] Obtain the basic parameters of the composite enclosure structure, including: material properties of the enclosure structure and material thickness of the non-embedded pipe layer;

[0008] The thermal resistance of the embedded tube composite enclosure structure is simplified based on the basic parameters to obtain the simplified thermal resistance of the composite enclosure structure.

[0009] Using a predetermined simulation algorithm, a dynamic simulation model of a building with an embedded tube composite envelope is established based on the design parameters of the embedded tube composite envelope.

[0010] Based on the building dynamic simulation model, the design parameters are adjusted to obtain the simulated temperature, simulated humidity and simulated energy consumption of the indoor environment under multiple sets of design parameters; among them, the design parameters include: embedded pipe parameters, structural layer thickness, embedded pipe layer location and moisture-absorbing layer thickness;

[0011] Based on multiple sets of simulated temperature, humidity, and energy consumption, as well as target temperature, humidity, and energy consumption levels, the preferred composite envelope structure is determined from the design parameters to generate an optimized scheme that meets the target indoor comfort and target energy consumption.

[0012] According to embodiments of this disclosure, simplifying the thermal resistance of the embedded tube composite enclosure structure based on fundamental parameters includes:

[0013] The simplified thermal resistance of the composite enclosure structure is calculated using the equivalent thermal resistance model and the shape factor model.

[0014] According to embodiments of this disclosure, the simplified thermal resistance of the composite enclosure structure is calculated using an equivalent thermal resistance model and a shape factor model, including:

[0015] Based on the heat conduction process of the pipe layer in the composite enclosure structure, the parameters of the embedded pipe structure with homogeneous thermal resistance are generated using the equivalent thermal resistance model.

[0016] Based on the geometry of the pipes within the embedded pipe structure, the thermal conductivity shape factor of the embedded pipe structure is calculated using a shape factor model.

[0017] The simplified thermal resistance of the pipe layer is calculated based on the equivalent thermal resistance formula combined with structural parameters and thermal conductivity shape factor.

[0018] According to embodiments of this disclosure, the embedded pipe structure parameters include: a first structural parameter and a second structural parameter;

[0019] The first structural parameter is the distance from the center of the embedded pipe to the inner surface of the composite enclosure structure;

[0020] The second structural parameter is the distance from the center of the embedded tube to the surface of the pipe layer.

[0021] According to embodiments of this disclosure, the equivalent thermal resistance formula for the pipe layer is as follows:

[0022]

[0023] Where M is the spacing between embedded pipes within the pipe layer;

[0024] H1 is the first structural parameter;

[0025] r is the radius of the embedded pipe within the pipe layer;

[0026] The thermal conductivity of the pipe material embedded in the pipe layer is expressed in W / (m·K).

[0027] According to embodiments of this disclosure, the shape factor of the embedded pipe structure is:

[0028]

[0029] in,

[0030]

[0031] L is the longitudinal length of the pipe embedded in the pipe layer;

[0032] M represents the spacing between pipes embedded within the pipe layer;

[0033] r is the radius of the embedded pipe within the pipe layer;

[0034] H1 is the first structural parameter.

[0035] According to embodiments of this disclosure, establishing a building dynamic simulation model of the embedded tubular composite envelope structure based on the design parameters of the embedded tubular composite envelope structure using a predetermined simulation algorithm includes:

[0036] Based on the material properties of the building envelope, the thickness of the non-embedded pipe layer, building shape information, building usage information, external meteorological parameters, and the type of moisture-absorbing material, a joint simulation is performed using building energy consumption simulation software and dynamic modeling software to establish the embedded pipe composite building envelope model.

[0037] According to embodiments of this disclosure, establishing a building dynamic simulation model of the embedded tube composite envelope structure based on the design parameters of the embedded tube composite envelope structure using a predetermined simulation algorithm includes:

[0038] Building energy consumption simulation software is used to establish the building system and cooling source system, and dynamic modeling software is used to establish the control system. The building envelope, indoor heat and humidity sources, humidity control materials, embedded pipe radiant energy supply structure and control structure are simulated and set up. The dynamic simulation interaction and joint debugging are realized through standardized interfaces to form an embedded pipe composite building envelope model.

[0039] According to embodiments of this disclosure, a moisture-regulating material constitutes a moisture-absorbing layer, and the embedded tubular radiant energy supply structure includes a structural layer and a pipe layer.

[0040] According to embodiments of this disclosure, based on multiple sets of simulated temperature, simulated humidity, and simulated energy consumption, as well as target temperature, target humidity, and target energy consumption, a preferred composite building envelope is determined from design parameters to generate an optimized solution that meets target indoor comfort and target energy consumption, including:

[0041] Calculate the target temperature deviation of the indoor simulated temperature corresponding to the target temperature;

[0042] Calculate the target humidity deviation of the simulated indoor humidity corresponding to the target humidity;

[0043] The calculated building simulation energy consumption corresponds to the energy consumption level of the target building;

[0044] Based on the target temperature deviation, target humidity deviation, and energy consumption level, an optimized solution is generated that meets the target indoor comfort and energy consumption level.

[0045] According to embodiments of this disclosure, when the absolute values ​​of the target temperature deviation and the target humidity deviation are greater than a preset deviation threshold, the design parameters are adjusted based on the target temperature deviation, the target humidity deviation, and the energy consumption level.

[0046] An optimized solution is generated when the absolute values ​​of the target temperature deviation and the target humidity deviation are less than the preset deviation threshold.

[0047] Based on the above technical solution, the optimization method for the embedded tube composite enclosure structure with dual thermal and moisture regulation provided in this disclosure has at least one of the following beneficial effects:

[0048] (1) In the embodiments of this disclosure, the basic parameters of the structural materials and simulation environment in the embedded tube composite enclosure are obtained, the heat transfer mechanism of the embedded tube composite enclosure is analyzed, and the heat transfer process from the pipe to the indoor surface in the complex embedded tube radiant energy supply structure is simplified by using the equivalent thermal resistance model and the shape factor model, so as to obtain the simplified thermal resistance of the pipe layer. This accurately describes the heat transfer mechanism of the embedded tube composite enclosure to a certain extent, provides more accurate simulation results, reduces the complexity of modeling, and improves simulation efficiency.

[0049] (2) In the embodiments of this disclosure, a predetermined simulation algorithm is used, along with building energy consumption simulation software and dynamic modeling software, to establish an embedded tubular composite envelope structure for simulation, achieving cross-software joint simulation. Based on the building dynamic simulation model, parameter scanning is performed on the composite envelope structure, and the effect of the composite envelope structure under actual conditions is adjusted and optimized. By establishing building systems, heating and cooling source systems, control systems, etc., multiple sets of embedded tubular composite envelope structures are constructed under parameter scanning, allowing for a more comprehensive analysis of the comfort and energy efficiency of the building structure.

[0050] (3) In the embodiments of this disclosure, based on the embedded tubular composite enclosure structure formed by the passive humidity-regulating material and the embedded tubular radiant energy supply module (TABS), the embedded tubular composite enclosure structure is optimized by joint simulation. The structure of the embedded tubular radiant energy supply module and the moisture-absorbing material are scanned by multiple parameters to obtain the optimized embedded pipe parameters, structural layer thickness, embedded pipe layer position and moisture-absorbing layer thickness, so as to meet the different thermal comfort needs of residents in different climate zones for the building interior. At the same time, it can achieve building energy conservation, reduce building carbon emissions, reduce the risk of condensation on indoor surfaces and maintain indoor hygiene. Attached Figure Description

[0051] Figure 1 This is a schematic diagram of an embedded tube composite enclosure structure based on an embedded tube radiant energy supply structure in an embodiment of this disclosure.

[0052] Figure 2 This is a schematic diagram of the embedded tube composite enclosure structure based on the roof embedded tube radiant energy supply structure in the embodiments of this disclosure;

[0053] Figure 3 This is a schematic diagram of the hierarchical structure in the actual case of the embedded tube composite enclosure structure in the embodiments of this disclosure;

[0054] Figure 4 This is a simplified hierarchical structure diagram of the embedded tubular composite enclosure structure in an embodiment of this disclosure;

[0055] Figure 5 This is a schematic diagram of the partial equivalent thermal resistance structure of the embedded tube composite enclosure structure in an embodiment of this disclosure;

[0056] Figure 6 This is a graph showing the indoor temperature when the pipe spacing is 100 mm in the embedded tube radiant energy supply structure of Embodiment 1 of this disclosure.

[0057] Figure 7 This is a graph showing the indoor temperature when the pipe spacing is 200 mm in the embedded tube radiant energy supply structure of Embodiment 1 of this disclosure.

[0058] Figure 8This is a graph showing the indoor temperature when the pipe spacing is 300 mm in the embedded tube radiant energy supply structure of Embodiment 1 of this disclosure.

[0059] Figure 9 This is a comparison curve of indoor temperature when different pipe radii are selected in the embedded tube radiant energy supply structure of Embodiment 2 of this disclosure;

[0060] Figure 10 This is a comparison curve of indoor temperature in structural layers of different thicknesses in the embedded tube radiant energy supply structure of Embodiment 3 of this disclosure;

[0061] Figure 11 This is a comparison curve of indoor temperature at different locations in the pipe layer of the embedded tube radiant energy supply structure in Embodiment 4 of this disclosure;

[0062] Figure 12 This is a graph showing the indoor temperature when the thickness of the moisture-absorbing material is 5 mm in Embodiment 5 of this disclosure;

[0063] Figure 13 This is a graph showing the indoor temperature when the thickness of the moisture-absorbing material is 10 mm in different embodiments of this disclosure, as shown in Example 6.

[0064] Figure 14 This is a graph showing the indoor temperature when the thickness of the moisture-absorbing material is 20 mm in Embodiment 6 of this disclosure;

[0065] Figure 15 This is a graph showing the change in indoor temperature in a simulated embedded tube composite enclosure structure in a certain location in Changchun City, according to Embodiment 7 of this disclosure.

[0066] Figure 16 This is a graph showing the change in indoor relative humidity in a simulated embedded tube composite enclosure structure in a certain location in Changchun City, according to Embodiment 7 of this disclosure.

[0067] Figure 17 This is a graph showing the change in indoor temperature in a simulated embedded tube composite enclosure structure in a certain location in Tianjin, as described in Embodiment 8 of this disclosure.

[0068] Figure 18 This is a graph showing the change in indoor relative humidity in a simulated embedded tube composite enclosure structure in a certain location in Tianjin, according to Embodiment 8 of this disclosure.

[0069] Figure 19 This is a graph showing the temperature variation in an embedded tube composite enclosure structure in a certain location in Weifang City, as described in Embodiment 9 of this disclosure.

[0070] Figure 20 This is a graph showing the change in indoor relative humidity in a simulated embedded pipe composite enclosure structure in a certain location in Weifang City, according to Embodiment 9 of this disclosure.

[0071] The annotations in the attached figures are explained as follows:

[0072] 11-Moisture-absorbing layer;

[0073] 12-Adhesive layer;

[0074] 13 - First structural layer;

[0075] 14 - First pipe layer;

[0076] 15 - Second structural layer;

[0077] 16 - First insulation layer;

[0078] 17-Surface Finish;

[0079] 21 - Second moisture-absorbing layer;

[0080] 22 - Third structural layer;

[0081] 23-Second pipe layer;

[0082] 24 - Fourth structural layer;

[0083] 25-Slope finding layer;

[0084] 26-Leveling layer;

[0085] 27 - Waterproof layer;

[0086] 28 - Second insulation layer;

[0087] 29 - Protective layer;

[0088] 31 - Actual pipe layer;

[0089] 32 - Actual structural layer;

[0090] 33 - Actual moisture-absorbing layer;

[0091] 41-Equivalent pipe layer;

[0092] 42-Equivalent structural layer;

[0093] 43 - Equivalent moisture-absorbing layer. Detailed Implementation

[0094] To make the objectives, technical solutions, and advantages of this disclosure clearer, the following detailed description is provided in conjunction with specific embodiments and the accompanying drawings.

[0095] The embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present disclosure for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0096] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0097] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0098] When using expressions such as "at least one of A, B, and C," the expression should generally be interpreted in accordance with the meaning commonly understood by a person skilled in the art (e.g., "a system having at least one of A, B, and C" should include, but is not limited to, systems having A alone, having B alone, having C alone, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.). When using expressions such as "at least one of A, B, or C," the expression should generally be interpreted in accordance with the meaning commonly understood by a person skilled in the art (e.g., "a system having at least one of A, B, or C" should include, but is not limited to, systems having A alone, having B alone, having C alone, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.).

[0099] Currently, Transient Absorbent Supplies (TABS) buildings achieve precise indoor temperature control by placing variable temperature and flow rate pipes within the building envelope (such as walls and roofs) to supply cooling or heating to the interior. In the process of developing this disclosure, it was discovered that using solid porous hygroscopic materials for the walls allows the materials to absorb moisture under high humidity conditions and release it during periods of low humidity, thus controlling indoor humidity and buffering moisture levels. The design of an embedded tubular composite building envelope combining passive moisture-regulating materials and TABS offers dual advantages: it controls both indoor temperature and humidity using passive moisture-regulating materials, meeting the occupants' needs for both temperature and humidity without requiring additional air handling equipment, thereby reducing building energy consumption.

[0100] In the process of developing this disclosure, it was discovered that the heat and moisture transfer mechanisms of embedded tube composite envelope structures are quite complex. The parameters within the TABS structural system affect the heat transfer performance of the wall and the moisture absorption performance of the hygroscopic material, making the design optimization of embedded tube composite envelope structures more complex. Especially in different climate zones, meeting the differentiated indoor thermal comfort and energy-saving requirements further complicates the design of embedded tube composite envelope structures.

[0101] Therefore, it is necessary to study optimization methods for embedded tubular composite building envelopes, as well as methods for selecting and thickening moisture-absorbing materials. This involves maximizing the building's own heat capacity while considering TABS cooling / heating to achieve full energy utilization, and combining this with optimized moisture-absorbing material design to stabilize the relative humidity inside the building. The goal is to optimize embedded tubular composite building envelopes and provide more technical support for the sustainable development and energy conservation and emission reduction of the construction industry.

[0102] In view of this, this disclosure provides an optimization method for an embedded tubular composite enclosure structure with dual thermal and moisture regulation, comprising:

[0103] This disclosure provides an optimization method for an embedded tubular composite enclosure structure with dual thermal and moisture regulation, including:

[0104] Obtain the basic parameters of the composite enclosure structure, including: material properties of the enclosure structure and material thickness of the non-embedded pipe layer;

[0105] The thermal resistance of the embedded tube composite enclosure structure is simplified based on the basic parameters to obtain the simplified thermal resistance of the composite enclosure structure.

[0106] Using a predetermined simulation algorithm, a dynamic simulation model of the building with an embedded tubular composite envelope is established based on the design parameters of the embedded tubular composite envelope.

[0107] Based on the building dynamic simulation model, the design parameters are adjusted to obtain the simulated temperature, simulated humidity and simulated energy consumption of the indoor environment under multiple sets of design parameters; among them, the design parameters include: embedded pipe parameters, structural layer thickness, embedded pipe layer location and moisture-absorbing layer thickness;

[0108] Based on multiple sets of simulated temperature, humidity, and energy consumption, as well as target temperature, humidity, and energy consumption levels, the preferred composite envelope structure is determined from the design parameters to generate an optimized scheme that meets the target indoor comfort and target energy consumption.

[0109] According to the embodiments of this disclosure, the basic parameters, building shape information, building usage information, external meteorological parameters, and moisture-absorbing material types of the embedded tube composite envelope are obtained. The basic parameters of the composite envelope include: physical property parameters of the envelope material and the material thickness of the non-embedded tube layer. The building usage information includes: hourly occupancy rate of personnel, heat dissipation and moisture dissipation of equipment. The external meteorological parameters include hourly outdoor temperature, hourly outdoor humidity, solar radiation intensity, wind speed, and other parameters.

[0110] According to embodiments of this disclosure, a dynamic simulation model of a building with an embedded tubular composite envelope is established based on collected parameters of the building envelope, architecture, and meteorology using a predetermined simulation algorithm. Parameter scanning is performed to obtain simulated temperature, simulated humidity, and energy consumption of the indoor environment under multiple sets of parameters. By comparing the target temperature, target humidity, and target energy consumption, a preferred embedded tubular composite envelope structure is determined from multiple sets of embedded tubular composite envelope structures to generate an optimized scheme that meets the target indoor comfort and energy-saving requirements.

[0111] According to embodiments of this disclosure, based on the embedded tubular composite building envelope formed by passive humidity-regulating materials and embedded tubular radiant energy supply structure (TABS), the embedded tubular composite building envelope is optimized through joint simulation. The embedded tubular radiant energy supply structure and the moisture-absorbing materials are optimized and adjusted respectively to meet the different thermal comfort and energy-saving needs of residents in different climate zones.

[0112] According to embodiments of this disclosure, simplifying the thermal resistance of the embedded tubular composite enclosure structure based on fundamental parameters includes:

[0113] The simplified thermal resistance of the composite enclosure structure is calculated using the equivalent thermal resistance model and the shape factor model.

[0114] According to embodiments of this disclosure, by analyzing the heat transfer mechanism of the embedded tubular composite enclosure structure, the actual structure is simplified using an equivalent thermal resistance model and a shape factor model, thereby shortening the heat transfer calculation process while ensuring the accuracy of the results.

[0115] According to embodiments of this disclosure, embedded tube radiant energy supply includes embedded tube radiant energy supply in walls and embedded tube radiant energy supply in roofs. The following is in conjunction with... Figure 1 and Figure 2 A brief description of the embedded tubular composite enclosure structure:

[0116] Figure 1 This is a schematic diagram of an embedded tube composite enclosure structure based on a wall-embedded tube radiant energy supply structure coupled with passive humidity control, as described in this disclosure. The embedded tube composite enclosure structure is formed by coupling a moisture-absorbing material with the wall-embedded tube radiant energy supply structure. Figure 1 As can be seen, the wall-embedded tube radiant energy supply structure includes: a first structural layer 13, a first pipe layer 14, a second structural layer 15, a first insulation layer 16, and a surface layer 17. In addition, a first moisture-absorbing layer 11 is made of moisture-absorbing material, and an adhesive layer 12 is used to bond the first moisture-absorbing layer 11 to the first structural layer 13 on the inner side of the wall-embedded tube radiant energy supply structure.

[0117] Figure 2 This is a schematic diagram of an embedded tubular composite enclosure structure for passive humidity control based on an embedded tubular radiant energy supply structure in this embodiment of the present disclosure. The embedded tubular composite enclosure structure is formed by coupling a moisture-absorbing material with the embedded tubular radiant energy supply structure. Figure 2 As shown, the moisture-absorbing material constitutes the second moisture-absorbing layer 21, and the structure of the roof radiant system includes: a third structural layer 22, a second pipe layer 23, a fourth structural layer 24, a slope-finding layer 25, a leveling layer 26, a waterproof layer 27, a second thermal insulation layer 28, and a protective layer 29.

[0118] According to embodiments of this disclosure, the heat transfer process from the embedded tubular composite enclosure structure to the interior can be considered as the heat conduction process from the pipe layer to the interior surface. Given a constant supply water temperature and interior temperature, the heat transferred through each layer is equal. An equivalent thermal resistance model simplifies the heat conduction process of the pipe layer in the embedded tubular composite enclosure structure, simplifying the pipe layer as a homogeneous material layer and ignoring the contact thermal resistance between the materials of each layer of the enclosure structure. The initial thermal resistance of the structural layers in the enclosure structure is... Initial thermal resistance of the pipe layer .

[0119] According to embodiments of this disclosure, the initial thermal resistances of the structural layer and the pipe layer are replaced using the equivalent thermal resistance formula to obtain the equivalent thermal resistance thicknesses of the structural layer and the pipe layer, respectively. The equivalent thermal resistance formula is: ,make ,but Therefore, the equivalent thermal resistance thickness of the structural layer is calculated as follows:

[0120]

[0121] The equivalent thermal resistance thickness of the structural layer is:

[0122]

[0123] in, For the thermal resistance of the structural layer, m 2 K / W; For the thermal resistance of the moisture-absorbing layer, m 2 K / W; Let m be the initial thermal resistance. 2 K / W; For the thermal resistance of the pipe layer, m 2 K / W; The thickness of the structural layer is in meters (m). The thickness of the absorbent layer is in meters (m). The initial thickness is in meters (m). The equivalent layer thickness is in meters (m). is the thermal conductivity of the structural layer material, W / (m·K); is the thermal conductivity of the dehumidification layer material, W / (m·K); is the initial thermal conductivity of the material, W / (m·K); is the equivalent material thermal conductivity, W / (m·K); is the thermal conductivity of the pipe layer material, W / (m·K).

[0124] According to embodiments of this disclosure, schematic diagrams of the embedded tubular composite enclosure structure before and after simplification are shown below. Figure 3 and Figure 4 As shown, Figure 3 This is a schematic diagram of the hierarchical structure in the actual case of the embedded tubular composite enclosure structure in the embodiments of this disclosure. Figure 3 The diagram schematically illustrates the complex structure of the pipe layer 31, the structural layer 32, and the moisture-absorbing layer 33. Figure 4 This is a schematic diagram of the simplified hierarchical structure of the embedded tubular composite enclosure structure in the embodiments of this disclosure. It schematically shows the equivalent pipe layer 41, equivalent structural layer 42, and equivalent structural layer 43 after simplifying the complex hierarchical materials into homogeneous materials through the equivalent thermal resistance model.

[0125] According to embodiments of this disclosure, the simplified thermal resistance of the composite enclosure structure is calculated using an equivalent thermal resistance model and a shape factor model, including:

[0126] Based on the heat conduction process of the pipe layer in the composite enclosure structure, the parameters of the embedded pipe structure with homogeneous thermal resistance are generated using the equivalent thermal resistance model.

[0127] Based on the geometry of the pipes within the embedded pipe structure, the thermal conductivity shape factor of the embedded pipe structure is calculated using a shape factor model.

[0128] The simplified thermal resistance of the pipe layer is calculated based on the equivalent thermal resistance formula combined with structural parameters and thermal conductivity shape factor.

[0129] According to embodiments of this disclosure, the structural parameters of the embedded tubular composite enclosure structure with homogeneous thermal resistance include: a first structural parameter H1 and a second structural parameter H2, and its structure is as follows: Figure 5 As shown, Figure 5 This is a schematic diagram of the partial equivalent thermal resistance structure of the embedded tubular composite enclosure structure in an embodiment of this disclosure. The first structural parameter H1 is the distance from the center of the pipe layer to the inner surface of the embedded tubular composite enclosure structure, and the second structural parameter H2 is the distance from the center of the pipe layer to the surface of the pipe layer.

[0130] According to embodiments of this disclosure, the structural parameters obtained after transformation by the shape factor thermal resistance model and the equivalent thermal resistance model are... , .

[0131] According to embodiments of this disclosure, the fluid heat transfer process in the pipe layer is a two-dimensional heat conduction process, with the heat flux temperature varying along the radial and flow directions of the pipe, making the solution process relatively complex. Using a shape factor model to summarize factors involving geometry and size can simplify the two-dimensional heat transfer process from the TABS structure pipe to its surroundings.

[0132] According to embodiments of this disclosure, compared to the parallel circular pipes within the pipe layer, the surface of the pipe layer is considered a semi-infinite object, and the shape factor S0 between it and the circular pipes is a hyperbolic sine function related to the pipe spacing, pipe length, and pipe radius, as follows:

[0133]

[0134] in,

[0135] L is the longitudinal length of the pipes within the pipe layer;

[0136] M represents the pipe spacing within the pipe layer;

[0137] r is the radius of the pipe within the pipe layer;

[0138] H1 is the first structural parameter.

[0139] According to embodiments of this disclosure, the shape factor thermal resistance of the embedded pipe structure in the embedded tubular composite enclosure is twice the thermal resistance of the pipe layer surface and the circular pipe. Combining the above formula, the shape factor S1 of the embedded pipe structure can be obtained, as follows:

[0140]

[0141] Therefore, the thermal conductivity shape factor S2 per unit area of ​​the embedded tubular composite enclosure structure is:

[0142]

[0143] The simplified thermal resistance of the embedded pipe structure is:

[0144]

[0145] According to embodiments of this disclosure, in conjunction with Figure 5 The simplified thermal resistance formula for the embedded pipe structure shown is as follows:

[0146]

[0147] Where M is the spacing between embedded pipes within the pipe layer;

[0148] H1 is the first structural parameter;

[0149] r is the radius of the embedded pipe within the pipe layer;

[0150] The value is the thermal conductivity of the embedded pipe layer material, W / (m·K).

[0151] in, Figure 5 This is a schematic diagram of the partial equivalent thermal resistance structure of the embedded tube composite enclosure structure in this embodiment. As can be seen from the above formula, the simplified thermal resistance of the pipe layer is affected by factors such as the thermal conductivity of the pipe layer material, the pipe spacing, the pipe radius, and the pipe filling position.

[0152] According to embodiments of this disclosure, establishing a building dynamic simulation model of the embedded tubular composite envelope structure based on the design parameters of the embedded tubular composite envelope structure using a predetermined simulation algorithm includes:

[0153] Based on the material properties of the building envelope, the thickness of the non-embedded tube layer, the building shape information, the building usage information, the external meteorological parameters, and the types of moisture-absorbing materials, a joint simulation was conducted using building energy consumption simulation software and dynamic modeling software to establish the embedded tube composite building envelope model.

[0154] According to embodiments of this disclosure, a parameter scan is performed on a building dynamic simulation model to obtain the simulated temperature, simulated humidity, and energy consumption of the indoor environment under multiple sets of parameters. The parameters scanned include: the equivalent thermal resistance and simplified thermal resistance of the pipe layer, embedded pipe parameters, structural layer thickness, embedded pipe layer location, structural layer thermal conductivity, moisture-absorbing layer thickness, moisture-absorbing layer thermal conductivity, and moisture absorption performance parameters of the moisture-absorbing material. Based on multiple sets of basic parameters, parameter adjustments are made to control the temperature, humidity, and energy consumption within the embedded pipe composite envelope structure, optimize the embedded pipe composite envelope structure, and analyze its adaptability to different regional climates.

[0155] According to embodiments of this disclosure, establishing a building dynamic simulation model of the embedded tubular composite envelope structure based on the design parameters of the embedded tubular composite envelope structure using a predetermined simulation algorithm includes:

[0156] Building energy consumption simulation software is used to establish the building system and cooling source system, and dynamic modeling software is used to establish the control system. The building envelope, indoor heat and humidity sources, humidity control materials, embedded pipe radiant energy supply structure and control structure are simulated and set up. The dynamic simulation interaction and joint debugging are realized through standardized interfaces to form an embedded pipe composite building envelope model.

[0157] The moisture-regulating material forms the moisture-absorbing layer, and the embedded tubular radiant functional structure includes a structural layer and a pipe layer.

[0158] According to embodiments of this disclosure, Energyplus software can be used to build building systems, cooling systems, etc., and Dymola software can be used to build control systems for joint simulation. The Functional Mock-up Units (FMU) component provides a standardized interface for the Functional Mock-up Interface (FMI) tool. The FMI integrates with XML files and C language to realize the interaction and joint debugging of dynamic models, thereby completing the joint simulation of Energyplus and Dymola software and realizing the indoor thermal comfort simulation effect of the embedded tube composite envelope structure under advanced algorithms.

[0159] According to embodiments of this disclosure, based on multiple sets of simulated temperature, simulated humidity, and simulated energy consumption, as well as target temperature, target humidity, and target energy consumption, a preferred composite building envelope is determined from design parameters to generate an optimized solution that meets target indoor comfort and target energy consumption, including:

[0160] Calculate the target temperature deviation of the indoor simulated temperature corresponding to the target temperature;

[0161] Calculate the target humidity deviation of the simulated indoor humidity corresponding to the target humidity;

[0162] The calculated building simulation energy consumption corresponds to the energy consumption level of the target building;

[0163] Based on the target temperature deviation, target humidity deviation, and energy consumption level, an optimized solution is generated that meets the target indoor comfort and energy consumption level.

[0164] According to embodiments of this disclosure, when the absolute values ​​of the target temperature deviation and the target humidity deviation are greater than preset deviation thresholds, the design parameters are adjusted based on the target temperature deviation, the target humidity deviation, and the energy consumption level.

[0165] An optimized solution is generated when the absolute values ​​of the target temperature deviation and the target humidity deviation are less than the preset deviation threshold.

[0166] According to embodiments of this disclosure, the position of the pipe layer, water supply temperature, pipe spacing, pipe diameter, thickness of the structural layer, and material and thickness of the moisture-absorbing layer in the embedded pipe composite envelope model are adjusted to simulate the impact on changes in indoor temperature, humidity, and energy consumption. Parameters with small fluctuations in simulated temperature, humidity, and energy consumption, and closest to the target comfortable temperature, humidity, or energy consumption, are selected as optimization parameters. Multiple sets of optimization parameters are obtained during the optimization process. From these combinations, the preferred composite envelope parameters are determined to generate an optimized scheme that meets the target indoor comfort and energy-saving requirements. Subsequently, actual operating conditions in different regions are simulated to verify the optimized scheme.

[0167] To make the objectives, technical solutions, and advantages of this disclosure clearer, the technical solutions and principles of this disclosure are further illustrated below with reference to specific embodiments and accompanying drawings. It should be noted that the specific embodiments described below are merely illustrative examples, and the scope of protection of this disclosure is not limited thereto.

[0168] Unless otherwise specified, all test materials and reagents used in the following examples are commercially available. Methods not specifically described in the examples are conventional and can be performed according to the techniques or conditions described in the literature or the product instructions.

[0169] Example 1

[0170] A composite building envelope model was established using a combination of building energy consumption simulation software and dynamic modeling software to simulate summer conditions with relatively small indoor-outdoor temperature differences. The structural layer thickness was set to 225 mm, with the pipe layer located 175 mm within the structural layer. The pipes had an outer diameter of 24 mm and an inner diameter of 20 mm, providing the same water supply temperature. Considering the impact of pipe spacing on initial investment and the thermal performance of the TABS system, pipe spacing was selected as 100 mm, 200 mm, and 300 mm. Adjusting the pipe spacing within the pipe layer simulated indoor comfort and energy consumption within the composite building envelope model. The simulation results are as follows: Figures 6-8 As shown.

[0171] in, Figure 6 This is a graph showing the indoor temperature when the pipe spacing in the embedded tube radiant energy supply structure of Embodiment 1 of this disclosure is 100 mm. Figure 7 This is a graph showing the indoor temperature when the pipe spacing is 200 mm in the embedded tube radiant energy supply structure of Embodiment 1 of this disclosure. Figure 8This is a graph showing the indoor temperature when the pipe spacing is 300 mm in the embedded tube radiant energy supply structure of Embodiment 1 of this disclosure. It can be seen from the graph that both 100 mm and 200 mm pipe spacing can meet the indoor thermal comfort and energy-saving requirements under summer conditions in most cities. However, considering the impact of initial investment, a pipe spacing of 200 mm is preferred within the pipe layer.

[0172] In addition, by Figures 6-8 It can be seen that by providing water supply temperatures of 18℃, 20℃, 22℃ and 24℃ respectively and conducting simulations with a continuous water supply control strategy, it was found that the indoor thermal comfort requirements of most regions can be met at a water supply temperature of 20℃, and lower building energy consumption can be obtained. Therefore, 20℃ can be optimized as the cooling water supply temperature.

[0173] Example 2

[0174] Building energy consumption simulation software and dynamic modeling software were used for joint simulation to establish a composite building envelope model, simulating summer working conditions with relatively small indoor and outdoor temperature differences, and adjusting the pipe radius in the pipe layer.

[0175] Considering that the heat transfer process from the internal fluid of the pipe to the pipe layer is affected by the inner and outer diameters of the pipe, three types of pipes with inner diameters of 12 mm and outer diameters of 16 mm, 16 mm and 20 mm, and 20 mm and 24 mm were selected respectively. With a maximum flow velocity of 0.25 m / s, a water supply temperature of 20℃, a pipe spacing of 200 mm, a structural layer thickness of 225 mm, and the pipe layer located at 175 mm in the structural layer, the influence of the three pipe inner and outer diameters on the indoor temperature was simulated and compared.

[0176] Simulation results are as follows Figure 9 As shown, Figure 9 The graph shows a comparison of indoor temperatures when different pipe radii are selected in the embedded tube radiant energy supply structure of Embodiment 2 of this disclosure. It can be seen that selecting a pipe with an inner diameter of 20mm and an outer diameter of 24mm can obtain a larger flow rate at the highest flow rate, thus better meeting the indoor thermal comfort requirements.

[0177] Example 3

[0178] A composite building envelope model was established by using building energy consumption simulation software and dynamic modeling software to simulate summer conditions with relatively small indoor and outdoor temperature differences, and the thickness of the structural layer was adjusted accordingly.

[0179] While meeting the strength requirements of the building envelope, the thickness of the structural layer affects the heat transfer process to the interior. Excessively thick wall structures can lead to excessive thermal inertia in the building, making the building's energy supply system difficult to control. Combining the strength requirements of the building envelope and the impact of the structural layer thickness on heat storage performance, the water supply temperature was set at 20℃, the pipe spacing at 200mm, the pipe outer diameter at 24mm, and the inner diameter at 20mm. Structural layers with thicknesses of 100mm, 125mm, 150mm, 175mm, 200mm, 225mm, and 250mm were selected for simulation control to analyze the changes in indoor temperature.

[0180] Simulation control results are as follows Figure 10 As shown, Figure 10 This is a comparison curve of indoor temperature in different thicknesses of the embedded tube radiant energy supply structure in Embodiment 3 of this disclosure. It can be seen that when the thickness of the structural layer is 225mm, the indoor temperature can be well controlled while maintaining the strength of the wall structure.

[0181] Example 4

[0182] A composite building envelope model was established by using building energy consumption simulation software and dynamic modeling software to simulate summer conditions with relatively small indoor and outdoor temperature differences, and the position of the pipe layer was adjusted accordingly.

[0183] In the embedded pipe composite enclosure model, the structural layer thickness is set to 225 mm, the water supply temperature within the pipe layer is set to 20℃, the pipe spacing is 200 mm, and the pipe outer diameter is 24 mm and the inner diameter is 20 mm. If the pipe layer is too close to the interior, it will cause excessive cooling and prevent the TABS system from fully utilizing the structural layer's heat capacity for heat storage. Conversely, if the pipe layer is positioned too far back, it will affect the heat transfer process from the pipes to the interior, reducing indoor thermal comfort. Therefore, pipe layer positions of 100 mm, 125 mm, 150 mm, 175 mm, and 200 mm were selected for optimization through simulation, and the effects of indoor temperature changes were analyzed.

[0184] Simulation control results are as follows Figure 11 As shown, Figure 11 This is a comparison curve of indoor temperature at different positions of the pipe layer in the embedded tube radiant energy supply structure of Embodiment 4 of this disclosure. It can be seen that the indoor temperature control effect is better when the pipe layer is located at 175mm.

[0185] Example 5

[0186] A composite building envelope model was established by using building energy consumption simulation software and dynamic modeling software to simulate summer conditions with relatively small indoor and outdoor temperature differences, and the material of the moisture-absorbing layer was adjusted accordingly.

[0187] The structural layer thickness in the composite enclosure model was set to 225 mm, the water supply temperature within the pipe layer was set to 20℃, the pipe spacing was set to 200 mm, and the pipe outer diameter was set to 24 mm and the inner diameter to 20 mm. The relative humidity changes, absolute humidity changes, and buffering effects of different materials on indoor moisture were compared when diatomaceous earth, gypsum, shell powder, expanded vermiculite, molecular sieve, and the organic molecular material MOF-101 were used as moisture-absorbing layer materials.

[0188] Simulation control results are as follows Figure 12 As shown, Figure 12 This is a graph showing the indoor temperature curves when the thickness of different moisture-absorbing materials is 5 mm in Embodiment 5 of this disclosure. It can be seen that the building materials diatomaceous earth, gypsum, and shell powder have relatively limited moisture absorption effects, and their ability to control indoor relative humidity and absolute humidity changes is weak. In contrast, the moisture-absorbing materials expanded vermiculite, molecular sieves, and the organic molecular material MOF-101 are far superior in moisture absorption, effectively reducing indoor humidity, ensuring that condensation does not occur on indoor surfaces, and contributing to maintaining indoor hygiene.

[0189] Taking into account the moisture absorption effect, the ability to control indoor humidity, and the moisture buffering effect, selecting high-performance moisture-absorbing molecular sieves and the new material MOF-101 as the moisture-absorbing layer is a more ideal choice. It can effectively alleviate indoor humidity problems and ensure a comfortable and healthy indoor environment.

[0190] Example 6

[0191] The same simulation method as in Example 5 was used, except that the thickness of the moisture-absorbing material in Example 5 was adjusted to 10 mm and 20 mm respectively, and the changes in the relative humidity of the indoor environment were analyzed.

[0192] Simulation control results are as follows Figure 13 and Figure 14 As shown, Figure 13 This is a graph showing the indoor temperature when the thickness of the moisture-absorbing material is 10 mm, according to Embodiment 6 of this disclosure. Figure 14 This is a graph showing the indoor temperature when the thickness of the moisture-absorbing material is 20 mm in Embodiment 6 of this disclosure, combined with... Figures 12-13 It can be seen that, based on the selection of molecular sieve and MOF-101 moisture-absorbing materials, the relative humidity control effect increases with the increase of the thickness of the moisture-absorbing material layer, but the difference between different thicknesses is small. Therefore, considering the actual effect and cost, a moisture-absorbing layer with a thickness of 5 mm is selected as the optimal thickness.

[0193] Example 7

[0194] A composite building envelope model was established by using building energy consumption simulation software and dynamic modeling software to simulate the actual climate of a certain area in Changchun City and verify the actual effect of the composite building envelope under working conditions.

[0195] An optimized composite building envelope was designed with the following parameters: water supply temperature 20℃, pipe spacing 200 mm, pipe outer diameter 24 mm, inner diameter 20 mm, structural layer thickness 225 mm, pipe spacing 175 mm, MOF-101 material selected, and moisture-absorbing material thickness set to 5 mm. A seven-day simulation was conducted, including five workdays and two rest days, with the highest local outdoor temperature and relative humidity, and the same indoor occupancy rate, to verify the impact of the optimized composite building envelope on indoor thermal comfort.

[0196] Figure 15 This is a graph illustrating the temperature variation in a composite building envelope in Changchun City, as shown in Embodiment 7 of this disclosure. Figure 16 This is a graph showing the change in indoor relative humidity in a composite building envelope in Changchun City, as simulated in Embodiment 7 of this disclosure. Figure 15 and Figure 16 It can be seen that the optimized composite enclosure structure can control the fluctuation of temperature and relative humidity within a small range, effectively buffering indoor moisture. It can maintain the comfort of indoor temperature when the outdoor temperature is high or low, and can have a relatively stable control effect on temperature and humidity in colder regions, thus meeting the comfort requirements of the indoor environment.

[0197] Example 8

[0198] Using the same composite enclosure structure as in Example 7, the actual effect of the composite enclosure structure was verified under working conditions. The only difference was that the actual climate of a certain place in Changchun City was replaced with the actual climate of a certain place in Tianjin City.

[0199] Figure 17 This is a graph illustrating the temperature variation in a simulated composite building envelope in a certain location in Tianjin, as shown in Embodiment 8 of this disclosure. Figure 18 This is a graph showing the change in indoor relative humidity in a composite building envelope structure in a simulated location in Tianjin, as described in Embodiment 8 of this disclosure. Figure 17 and Figure 18 It can be seen that the optimized composite enclosure structure can effectively control the temperature and humidity in a certain area of ​​Tianjin, and maintain the comfort of the indoor environment under different temperatures.

[0200] Example 9

[0201] Using the same composite enclosure structure as in Example 7, the actual effect of the composite enclosure structure was verified under working conditions. The only difference was that the actual climate of a certain place in Changchun City was replaced with the actual climate of a certain place in Weifang City.

[0202] Figure 19 This is a graph illustrating the temperature variation in a composite building envelope in a certain location in Weifang City, as shown in Embodiment 9 of this disclosure. Figure 20 This is a graph showing the change in indoor relative humidity in a simulated composite building envelope in a certain location in Weifang City, as described in Embodiment 9 of this disclosure. Figure 19 and Figure 20 It can be seen that the optimized composite enclosure structure can effectively control the temperature and humidity in a certain area of ​​Weifang City, and maintain the comfort of the indoor environment under different temperatures.

[0203] Based on the above technical solution, this disclosure couples an embedded tubular radiant energy supply structure and a humidity-regulating material to form a composite building envelope. The embedded tubular radiant energy supply structure can actively regulate indoor temperature, while the humidity-regulating material can passively regulate indoor humidity. Optimizations are made to the parameters of the embedded tubular radiant energy supply structure, including the embedded pipe parameters, structural layer thickness, embedded pipe layer location, and moisture-absorbing layer thickness, to improve the control of indoor temperature and humidity. This provides an optimization method for composite building envelopes in different climate zones to meet the diverse needs of indoor thermal comfort. The optimized humidity-regulating material prevents condensation on the surface of the embedded tubular radiant energy supply structure and other indoor structural surfaces. The optimized embedded tubular radiant energy supply structure improves the stability of indoor temperature control, eliminates the need for additional external devices, and effectively reduces building energy consumption and operating costs.

[0204] The optimized scheme obtained by the optimization method of the embedded tube composite enclosure structure with dual thermal and humidity regulation provided in this disclosure can actively regulate indoor temperature and passively regulate indoor temperature, make full use of its own heat capacity to store energy and buffer indoor moisture, control indoor temperature and relative humidity fluctuations within a small range, and meet the needs for differentiated indoor thermal comfort and energy saving.

[0205] The above specific embodiments further illustrate the purpose, technical solutions and beneficial effects of this disclosure. It should be understood that the above are only specific embodiments of this disclosure and are not intended to limit this disclosure. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the protection scope of this disclosure.

Claims

1. An optimization method for an embedded tubular composite enclosure structure with dual thermal and moisture regulation, comprising: Obtain the basic parameters of the composite enclosure structure, including: material properties of the enclosure structure and the material thickness of the non-embedded pipe layer; Based on the aforementioned basic parameters, the thermal resistance of the embedded tube composite enclosure structure is simplified to obtain the simplified thermal resistance of the composite enclosure structure. Using a predetermined simulation algorithm, a dynamic simulation model of the building with the embedded tubular composite envelope structure is established based on the design parameters of the embedded tubular composite envelope structure. Based on the building dynamic simulation model, the design parameters are adjusted to obtain the simulated temperature, simulated humidity and simulated energy consumption of the indoor environment under multiple sets of design parameters; wherein, the design parameters include: embedded pipe parameters, structural layer thickness, embedded pipe layer position and moisture-absorbing layer thickness; Based on multiple sets of simulated temperature, simulated humidity, and simulated energy consumption, as well as target temperature, target humidity, and energy consumption levels, a preferred composite envelope structure is determined from the design parameters to generate an optimized scheme that meets the target indoor comfort and target energy consumption.

2. The optimization method according to claim 1, wherein, Simplifying the thermal resistance of the embedded tubular composite enclosure structure based on the aforementioned fundamental parameters includes: The simplified thermal resistance of the composite enclosure structure is calculated using the equivalent thermal resistance model and the shape factor model.

3. The optimization method according to claim 2, wherein, Using the equivalent thermal resistance model and the shape factor model, the simplified thermal resistance of the composite enclosure structure is calculated as follows: Based on the heat conduction process of the embedded pipe in the composite enclosure structure, the structural parameters of the embedded pipe with homogeneous thermal resistance are generated using an equivalent thermal resistance model. Based on the geometry of the embedded pipes in the composite enclosure, the thermal conductivity shape factor of the composite enclosure is calculated using a shape factor model. The simplified thermal resistance of the pipe layer is calculated based on the equivalent thermal resistance formula, combined with the structural parameters and the thermal conductivity shape factor.

4. The optimization method according to claim 3, wherein, The structural parameters include: a first structural parameter and a second structural parameter; The first structural parameter is the distance from the center of the embedded pipe to the inner surface of the composite enclosure structure; The second structural parameter is the distance from the center of the embedded pipe to the surface of the pipe layer.

5. The optimization method according to claim 4, wherein, The simplified thermal resistance formula for the pipe layer is shown below: Where M is the spacing between the embedded pipes within the pipe layer; H1 is the first structural parameter; r is the radius of the embedded pipe within the pipe layer; The thermal conductivity of the pipe embedded in the pipe layer is W / (m·K).

6. The optimization method according to claim 4, wherein, The shape factor of the pipe layer is: in, L is the longitudinal length of the embedded pipe within the pipe layer; M represents the spacing between the embedded pipes within the pipe layer; r is the radius of the embedded pipe within the pipe layer; H1 is the first structural parameter.

7. The optimization method according to claim 1, wherein, Using a predetermined simulation algorithm, a dynamic building simulation model of the embedded tubular composite envelope structure is established based on its design parameters, including: Based on the material properties of the building envelope, the thickness of the non-embedded tube layer, the building shape information, the building usage information, the external meteorological parameters, and the types of moisture-absorbing materials, a joint simulation was conducted using building energy consumption simulation software and dynamic modeling software to establish the embedded tube composite building envelope model.

8. The optimization method according to claim 7, wherein, Using a predetermined simulation algorithm, a dynamic building simulation model of the embedded tubular composite envelope structure is established based on its design parameters, including: Building energy consumption simulation software is used to establish the building system and cooling source system, and dynamic modeling software is used to establish the control system. The building envelope, indoor heat and humidity sources, humidity regulating materials, embedded pipe radiant energy supply structure and control structure are simulated and set. The dynamic simulation interaction and joint debugging are realized through standardized interfaces to form the building dynamic simulation model of the embedded pipe composite envelope structure.

9. The method according to claim 1, wherein, Based on multiple sets of simulated temperature, simulated humidity, and simulated energy consumption, as well as target temperature, target humidity, and target energy consumption, a preferred composite building envelope is determined from the design parameters to generate an optimized scheme that meets the target indoor comfort and target energy consumption, including: Calculate the target temperature deviation of the simulated indoor temperature corresponding to the target temperature; Calculate the target humidity deviation of the simulated indoor humidity corresponding to the target humidity; The calculated building simulation energy consumption corresponds to the energy consumption level of the target building; Based on the target temperature deviation, the target humidity deviation, and the target energy consumption deviation, an optimized scheme that meets the target indoor comfort and energy consumption levels is generated.

10. The optimization method according to claim 9, wherein, If the absolute values ​​of the target temperature deviation and the target humidity deviation are greater than a preset deviation threshold, the design parameters are adjusted according to the target temperature deviation, the target humidity deviation, and the energy consumption level. The optimized scheme is generated when the absolute values ​​of the target temperature deviation and the target humidity deviation are less than a preset deviation threshold.

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