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工业厂房通风系统优化设计与模拟

发布时间:2018-04-14 13:29

  本文选题:工业厂房 + 自然通风 ; 参考:《华中科技大学》2014年硕士论文


【摘要】:目前,我国工业化程度正处在高速发展的时期,伴随着工业化发展的不断进步,全国工厂、企业的生产规模也在不断扩大,与此同时,企业必须大规模新建或改造厂房以满足生产要求,这就导致工业厂房的数量不断增多,体积不断加大,结构也变得越来越复杂。工业厂房主要问题有两个,耗能大与环境差,厂房在生产过程中会排放大量的热量、有害气体,不仅直接影响到工人的健康、设备的使用寿命,严重的也会影响到生产的正常运行。这就需要工业厂房配备良好的通风系统,节能降耗的同时,尽可能的提高其通风效率,构建良好的工作环境。 通风系统可分为机械通风系统和自然通风系统,机械通风系统效率高、稳定性强,但耗能较大;自然通风系统无需消耗动力,能够实现工业厂房节能降耗的目的,但是通风效率低的缺点无法保证厂房能够保持较好的环境,因此本课题提出对工业厂房自然通风系统进行优化改造,保证厂房节能降耗的同时,保持较好的环境。本课题以钢铁工业大型厂房为研究对象,通过对自然通风系统中传统排风方式的分析与研究,对排风气楼的位置、形状以及排风方式进行合理的改进与优化,提出三种改造方案,分别是提高气楼高度、排风气楼后移、气楼横向布置,通过对改造前后厂房内部主要工作区域温度分布的对比与分析,,可以明显的看到改造后厂房内部温度有了明显的降低,环境得到改善,验证了三种改造方案的可行性。随后,我们还将三种改造方案结合到一起的综合方案进行模拟与分析,得到更好的优化效果,验证了三种改造方案的合理性、独立性与互补性,将三种改造方案进行合理的配合,可以更好的优化效果。 本课题主要采用CFD(计算流体动力学)方法对厂房建立模型,设置相关条件与参数,求解器进行求解,完成自然通风过程数值模拟,对空气在厂房内部的流动状态与相关参数进行分析,为工业厂房通风系统的优化设计提供了科学的理论依据与行之有效的实施方法。
[Abstract]:At present, the degree of industrialization in our country is in a period of rapid development. With the continuous progress of industrialization, the scale of production of factories and enterprises throughout the country is also expanding, at the same time,Enterprises must build or transform factories on a large scale to meet the requirements of production, which leads to the increasing number, volume and structure of industrial buildings.There are two main problems in industrial buildings, which are energy consumption and poor environment. The factory buildings will emit a lot of heat and harmful gases during the production process, which will not only directly affect the health of workers and the service life of equipment,Serious also can affect the normal operation of production.It is necessary for industrial buildings to be equipped with good ventilation system, to save energy and reduce consumption, to improve ventilation efficiency as much as possible, and to build a good working environment.Ventilation system can be divided into mechanical ventilation system and natural ventilation system. Mechanical ventilation system has high efficiency, strong stability, but large energy consumption.However, the shortcomings of low ventilation efficiency can not ensure that the workshop can maintain a better environment, so this paper proposes to optimize the natural ventilation system of industrial buildings to ensure energy saving and consumption reduction, while maintaining a better environment.This topic takes the iron and steel industry large-scale workshop as the research object, through the analysis and the research to the traditional exhaust air way in the natural ventilation system, carries on the reasonable improvement and the optimization to the exhaust air tower position, the shape and the exhaust air way.Three retrofit schemes are put forward, which are to raise the height of the gas tower, to move the exhaust gas tower backward, and to arrange the air tower laterally. Through the comparison and analysis of the temperature distribution in the main working area of the factory before and after the renovation,It can be seen that the internal temperature of the plant has been obviously reduced and the environment has been improved after the transformation, which verifies the feasibility of the three retrofit schemes.After that, we simulate and analyze the three kinds of reconstruction schemes, and obtain better optimization results, which verify the rationality, independence and complementarity of the three transformation schemes.The optimization effect can be improved by the reasonable cooperation of the three transformation schemes.In this paper, CFDs (Computational fluid Dynamics) method is used to establish the model of the workshop, set up the relevant conditions and parameters, solve the problem with solver, and complete the numerical simulation of the natural ventilation process.The flow state and related parameters of the air in the factory building are analyzed, which provides a scientific theoretical basis and an effective implementation method for the optimization design of the ventilation system of the industrial factory building.
【学位授予单位】:华中科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TU834.53

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