Parameterized design method for natural ventilation of cold region gymnasium building

A technology of parametric design and natural ventilation, applied in calculation, genetic rules, electrical digital data processing, etc., can solve problems such as the difficulty of natural wind

Active Publication Date: 2019-12-03
HARBIN INST OF TECH
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Problems solved by technology

[0004] In order to solve the problem that it is difficult to introduce natural wind into gymnasium buildings, the present invention provides a pa...

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  • Parameterized design method for natural ventilation of cold region gymnasium building

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specific Embodiment 1

[0033] according to figure 1 As shown in the flowchart, the present invention provides a parametric design method for natural ventilation in a cold gymnasium building, including the following steps:

[0034] Step 1: Integrate the spatial form information of the gymnasium building and the environmental boundary information, parameterize the spatial form information of the gymnasium building and the environmental boundary information, establish a gymnasium building environmental information model, and use the butterfly interface to connect the rhino-grasshopper parametric modeling platform and CFD OpenFOAM combination in the simulation platform;

[0035] Step 2: According to the building environment information model of the gymnasium, the model is solved to obtain the wind speed value and the temperature value of the measuring point, the initial data is used as the performance evaluation index, the corresponding relationship between the optimization parameter and the evaluation index...

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Abstract

The invention relates to a parameterized design method for natural ventilation of a gymnasium building in a cold region. According to the optimization method provided by the invention, natural ventilation parameterized simulation and a multi-objective genetic optimization algorithm are integrated; firstly, CFD performance simulation and a parametric modeling platform are combined, a natural ventilation parametric simulation process and model for a cold region gymnasium building are provided, the complex process of intermediate data conversion is reduced, and the performance simulation efficiency is improved. On the basis, a multi-objective genetic optimization algorithm is utilized to improve the support strength of wind environment simulation to a natural ventilation design decision making process in a gymnasium space form design process. The cold region gymnasium building natural ventilation parameterized simulation optimization design method mainly comprises the steps that buildinggeometrical information and environment boundary condition information are integrated; building a corresponding relation between the building space form optimization parameters and the natural ventilation performance target; and three steps of ventilation and thermal comfort multi-performance target optimization guide search are carried out.

Description

Technical field [0001] The invention relates to the technical field of building energy-saving passive design, and is a parametric design method for natural ventilation of a cold gymnasium building. Background technique [0002] Due to its huge volume and strict requirements on the indoor physical environment, the stadium building is a major energy consumer in urban public buildings. Many scholars have shown through theoretical and practical research that the use of natural ventilation can improve the indoor thermal comfort environment while saving a lot of energy and funds, ensuring indoor air circulation, and improving air quality. The introduction of natural wind into the stadium building is beneficial to reduce its operating costs and promote the green, low-carbon and sustainable development of sports buildings. However, as a typical tall space, the gymnasium is more difficult to introduce natural wind. It is necessary to rationally optimize the building form and ventilation ...

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Application Information

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IPC IPC(8): G06F17/50G06N3/12
CPCG06N3/126
Inventor 刘莹孙澄武雪凤甄蒙董琪刘芳芳高鹏
Owner HARBIN INST OF TECH
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