A Fluent-based optimization simulation method for indoor wind environment in buildings

Abstract

The present invention relates to a Fluent-based building indoor wind environment optimization simulation method, which belongs to the field of building environment application, and comprises S1, collating and analyzing meteorological data; S2, modeling to determine the building space model to be simulated; S3, grid division to obtain a grid model; S4, detecting the grid model; S5, giving the direction of gravity acceleration; S6, selecting a model that can effectively simulate the building indoor wind environment, and selecting a standard turbulence model; S7, defining material properties; S8, setting boundary conditions; S9, iterative calculation; S10, post-processing the calculation results, and optimizing poor ventilation points; the present invention simulates the indoor natural wind environment of the building, analyzes and optimizes the current situation of the wind environment in the building, improves the quality of the indoor natural wind environment of the building, avoids the generation of too many ventilation dead corners and reduces the area proportion of areas with larger air age, effectively organizes indoor airflow paths, and reduces excessive dependence on mechanical ventilation equipment.

Description

Technical Field

[0001] The invention relates to the technical field of building environment application, and in particular to a Fluent-based building indoor wind environment optimization simulation method. Background Art

[0002] The development and expansion of cities has led to an increase in the density of urban buildings, resulting in poor natural wind environment conditions and a decrease in the air quality inside buildings. At present, in the design process of various types of buildings, there is little research on the optimization design of the indoor wind environment of the building. Mechanical temperature control equipment and fresh air equipment occupy a dominant position in the regulation of the indoor wind environment, which is also contrary to the current national advocacy of the concept of green, low-carbon and sustainable development. Summary of the invention

[0003] In order to solve the problems raised in the above background technology, the present invention provides a Fluent-based building indoor wind environment optimization simulation method.

[0004] The present invention provides a Fluent-based building indoor wind environment optimization simulation method that adopts the following technical solutions:

[0005] A Fluent-based building indoor wind environment optimization simulation method includes the following steps:

[0006] S1. Organize and analyze the meteorological data of the area where the building is located;

[0007] S2. Use the Geometry module in the Workbench platform to combine the architectural drawing information to model the required architectural space model;

[0008] S3, importing the architectural space model into the Mesh module in the Workbench platform to set pre-processing conditions and mesh division to obtain a mesh model;

[0009] S4, open the Fluent module in the Workbench platform, associate the Fluent module with the Mesh module, and test the mesh model. If the test is qualified, proceed to the next step. If the test is unqualified, repeat S3 and re-mesh.

[0010] S5. According to the required building space model, specify the simulation unit in the Scale Mesh dialog box, and specify the direction of gravity acceleration in the Gravitational Acceleration option column;

[0011] S6. In the Models dialog box, select a model that can effectively simulate the indoor wind environment of the building, open Energy Equation as required, and select the standard k-epsilon turbulence model;

[0012] S7. Define material properties;

[0013] S8, set boundary conditions: define the inlet wind speed value of the building air inlet according to the meteorological data in S1;

[0014] S9, iterative calculation: initialize the boundary and set the parameters of the iterative calculation number, calculate the weight residual, and observe whether the calculation result converges. If it converges, proceed to the next step. If it does not converge, check and optimize the contents of steps S2 to S8, and perform iterative calculation again;

[0015] S10. Use the CFD-Post module in the Workbench platform to post-process the calculation results: obtain the results of the indoor wind speed and air age of the simulated building by setting the post-processing parameters, judge the quality of the indoor wind environment through the displayed results, and analyze and optimize the poor ventilation points.

[0016] Preferably, the meteorological data of the area where the building is located is collated and analyzed, as follows:

[0017] Obtain the meteorological data of the area where the building is located, organize and analyze it, and obtain the annual and quarterly wind direction and average wind speed of the area where the building is located, which will serve as the basis for setting the wind speed and direction of the air inlet during the building simulation process.

[0018] Preferably, S3 is as follows:

[0019] According to the wind direction of the building area obtained by S1, the building's air inlet, outlet and wall are determined, and the appropriate grid division type is selected according to the model information to obtain the grid model.

[0020] Preferably, in S7, the wind environment is set to air attributes and the building is set to solid attributes according to the indoor wind environment of the building.

[0021] In summary, the present invention has the following beneficial technical effects:

[0022] 1. The present invention simulates the natural wind environment in the building by means of numerical simulation, analyzes the current situation of the wind environment in the building, and proposes an optimization strategy;

[0023] 2. The present invention improves the quality of the natural wind environment in the building, avoids excessive ventilation dead corners, reduces the area proportion of areas with large air age, and effectively organizes the indoor air flow path;

[0024] 3. The present invention reduces excessive reliance on mechanical ventilation equipment through simulation analysis and optimal design of the natural wind environment in the building, and further reduces energy consumption by combining with national low-carbon energy-saving policies. DETAILED DESCRIPTION

[0025] The present invention is described in further detail below.

[0026] The embodiment of the present invention discloses a Fluent-based building indoor wind environment optimization simulation method. A Fluent-based building indoor wind environment optimization simulation method comprises the following steps:

[0027] S1. Organize and analyze the meteorological data of the area where the building is located;

[0028] The details are as follows:

[0029] Obtain the meteorological data of the area where the building is located, organize and analyze it, and obtain the annual and quarterly wind direction and average wind speed of the area where the building is located, which will serve as the basis for setting the wind speed and direction of the air inlet during the building simulation process;

[0030] The wind direction of the specific building area can be obtained through regional meteorological data.

[0031] S2. Use the Geometry module in the Workbench platform to combine the architectural drawing information to model the required architectural space model;

[0032] Architectural drawings can be CAD or paper drawings. According to the specific size of the building, a three-dimensional model can be established in the Geometry module in a 1:1 ratio.

[0033] S3, importing the architectural space model into the Mesh module in the Workbench platform to set pre-processing conditions and mesh division to obtain a mesh model;

[0034] The details are as follows:

[0035] The setting of pre-processing conditions is to determine the building's air inlet, outlet and wall according to the wind direction of the building area obtained by S1, select the appropriate mesh division type according to the model information, and obtain the mesh model;

[0036] The opening on the windward side of the building is the inlet, the opening on the leeward side is the outlet, and the rest are walls.

[0037] S4, open the Fluent module in the Workbench platform, associate the Fluent module with the Mesh module, and test the mesh model. If the test is qualified, proceed to the next step. If the test is unqualified, repeat S3 and re-mesh.

[0038] The finer the grid division, the more accurate the result, and it is also easier for subsequent calculation results to converge.

[0039] S5. According to the required building space model, specify the simulation unit in the Scale Mesh dialog box, and specify the direction of gravity acceleration in the Gravitational Acceleration option column;

[0040] Because air is affected by gravity when flowing in a building, and there is also gravitational acceleration in the flow, in order to simulate the indoor wind environment, the realistic state should be restored as much as possible in the model.

[0041] S6. In the Models dialog box, select a model that can effectively simulate the indoor wind environment of the building, open Energy Equation as needed, and select the standard k-epsilon turbulence model.

[0042] S7. Define material properties;

[0043] According to the indoor wind environment, the wind environment is set to air attribute and the building is set to solid attribute;

[0044] By defining material properties, the real building environment is simulated to facilitate accurate calculation results.

[0045] S8. Set boundary conditions: Based on the meteorological data in S1, define the inlet wind speed value of the building air inlet.

[0046] S9, iterative calculation: initialize the boundary and set the parameters of the iterative calculation number, calculate the weight residual, and observe whether the calculation result converges. If it converges, proceed to the next step. If it does not converge, check and optimize the contents of steps S2 to S8, and perform iterative calculation again;

[0047] Before initialization, the initial conditions are selected according to the simulation content, and initialization is performed after selection. The initial conditions refer to the determination of boundary conditions. After initialization, the iterative calculation is performed according to the selected conditions. If the calculation result does not converge, continue to return, modify the initial conditions, initialize again, and recalculate until the result converges.

[0048] S10. Use the CFD-Post module in the Workbench platform to post-process the calculation results: obtain the results of the indoor wind speed and air age of the simulated building by setting the post-processing parameters, judge the quality of the indoor wind environment by the displayed results, and analyze and optimize the poor ventilation points;

[0049] Export the corresponding results according to the desired content, check the wind speed and export the wind speed cloud map. In the wind speed cloud map, each point inside the building has a color corresponding to the corresponding wind speed. Perform multiple simulations and improvements based on whether the wind speed can meet the comfort requirements or the uncomfortable range;

[0050] The effects of indoor wind speed and air age on human work are as follows:

[0051] When the wind speed is 0-0.25m / s, it is difficult for the human body to detect;

[0052] When the wind speed is 0.25-0.5m / s, the human body feels pleasant and does not affect work;

[0053] When the wind speed is 0.5-1.0m / s, the human body is generally comfortable, but it is necessary to be careful of the paper being blown away;

[0054] When the wind speed is 1.0-1.5m / s, there is a slight wind blow and annoying blowing, and the papers on the table will be blown away;

[0055] When the wind speed is greater than m / s, the wind is blowing obviously. If you want to maintain good work efficiency and health conditions, you need to improve the ventilation volume and control the ventilation path;

[0056] The per capita fresh air volume for different types of rooms is as follows:

[0057] When the building type is an office building, the fresh air volume is 30m³ / (h·person);

[0058] When the building type is a hotel building, the fresh air volume is 30m³ / (h·person);

[0059] When the building type is a shopping mall, the fresh air volume is 30m³ / (h·person);

[0060] When the building type is hospital building-outpatient building, the fresh air volume is 30m³ / (h·person);

[0061] When the building type is school building-teaching building, the fresh air volume is 30m³ / (h·person);

[0062] Air age is determined based on calculation results to determine whether there are ventilation dead spots in the room.

[0063] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A Fluent-based building indoor wind environment optimization simulation method, characterized in that: The following steps are involved: S1. Organize and analyze the meteorological data of the area where the building is located; S2. Use the Geometry module in the Workbench platform to combine the architectural drawing information to model the required architectural space model; S3, importing the architectural space model into the Mesh module in the Workbench platform to set pre-processing conditions and mesh division to obtain a mesh model; S4, open the Fluent module in the Workbench platform, associate the Fluent module with the Mesh module, and test the mesh model. If the test is qualified, proceed to the next step. If the test is unqualified, repeat S3 and re-mesh. S5. According to the required building space model, specify the simulation unit in the Scale Mesh dialog box, and specify the direction of gravity acceleration in the Gravitational Acceleration option column; S6. In the Models dialog box, select a model that can effectively simulate the indoor wind environment of the building, open Energy Equation as required, and select the standard k-epsilon turbulence model; S7. Define material properties; S8. Set boundary conditions: define the inlet wind speed value of the building air inlet according to the meteorological data in S1; S9, iterative calculation: initialize the boundary and set the parameters of the iterative calculation number, calculate the weight residual, and observe whether the calculation result converges. If it converges, proceed to the next step. If it does not converge, check and optimize the contents of steps S2 to S8, and perform iterative calculation again; S10. Use the CFD-Post module in the Workbench platform to post-process the calculation results: obtain the results of the indoor wind speed and air age of the simulated building by setting the post-processing parameters, judge the quality of the indoor wind environment through the displayed results, and analyze and optimize the poor ventilation points.

2. The method for optimizing and simulating indoor wind environment of a building based on Fluent according to claim 1 is characterized in that: The meteorological data of the area where the building is located is collated and analyzed, as follows: Obtain the meteorological data of the area where the building is located, organize and analyze it, and obtain the annual and quarterly wind direction and average wind speed of the area where the building is located, which will serve as the basis for setting the wind speed and direction of the air inlet during the building simulation process.

3. The method for optimizing and simulating indoor wind environment of a building based on Fluent according to claim 1, characterized in that: The S3 is as follows: According to the wind direction of the building area obtained by S1, the building's air inlet, outlet and wall are determined, and the appropriate grid division type is selected according to the model information to obtain the grid model.

4. The method for optimizing and simulating indoor wind environment of a building based on Fluent according to claim 1 is characterized in that: In S7, the wind environment is set to air attribute and the building is set to solid attribute according to the indoor wind environment of the building.