首页|基于CFD技术的洁净室节能措施研究

基于CFD技术的洁净室节能措施研究

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随着医药工程洁净厂房的建设量以及规模的不断扩大,能耗问题日益凸显,而洁净室运行效果与气流组织密不可分。本文采用CFD技术对某药品生产车间的微生物限度室进行数值模拟并做气流组织优化,从而达到节能的目的。通过增加污染源上方送风口数量,并降低换气次数,可保证同样的设计效果,从而减少能源消耗。结果表明:1、在相同换气次数下,适当增加污染源上方的送风口数量可以提高空调净化效果;2、以本文选取的房间为例,将污染源上方的送风口数量由单个增加至3个后,可考虑减少5次换气次数,依然可满足工艺需求;3、组装式空调机组表冷段制冷量及再加热段耗热量均与减少的送风量成正比(按全新风系统设计)。本文的研究结果可为洁净室暖通节能设计提供参考。
Research on Energy-saving Measures of Clean Room based on CFD Technology
With the continuous expansion of the construction quantity and scale of clean plant in pharmaceutical engineering,the energy consumption problem has become increasingly prominent.The running effect of clean room is closely related to airflow organization.In this paper,CFD technology is used to numerically simulate the microbial limit room in a drug production workshop and optimize the airflow organization,so as to achieve the purpose of energy saving.By increasing the number of supply air ports above the pollution source and reducing the air exchange times,the same design effect can be ensured,thereby reducing energy consumption.The results show that:1.Under the same air exchange times,appropriately increasing the number of supply air ports above the pollution source can improve the air conditioning and purification effect;2.Taking the room selected in this paper as an example,after increasing the number of supply air ports above the pollution source from one to three,it is possible to consider reducing the air exchange times by 5 times,which can still meet the process requirements;3.The cooling capacity of the surface cooling section and the heat consumption of the re-heating section of the assembled air conditioning unit are directly proportional to the reduced air supply volume(designed according to a fresh air system).The research results in this paper can provide a reference for energy-saving design of HVAC in clean rooms.

Clean RoomNumerical SimulationAirflow OrganizationEnergy Conservation

宋冰岩、丁颂

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中石化上海工程有限公司,上海,200120

洁净室 数值模拟 气流组织 节能

2024

制冷
广东省制冷学会,福建省制冷学会,河南省制冷学会,云南省制冷学会,广西区制冷学会

制冷

影响因子:0.432
ISSN:1005-9180
年,卷(期):2024.43(6)