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Preliminary study of the performance and operating characteristics of a mop-fan air cleaning system for buildings

机译:建筑物拖把空气净化系统的性能和运行特性的初步研究

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A theoretical investigation has been made into the performance of a novel mop-fan air cleaning system able to perform self-cleaning while circulating indoor air throughout the building space. The mop fan therefore reduces the need for outdoor fresh air and so energy for heating/ cooling the air. The fluid dynamic characteristics of the mop impellers have been simulated using a model developed on the basis of previous test data. Characteristic parameters such as volume flow coefficient C_Q, pressure coefficient C_(Δp) and power coefficient C_P, are indicated as the functions of rotation speed, mop fibre number and diameter. An optimum working state is recommended for maximum static efficiency. The UV light-photon characteristics of the mop cleaning system have been simulated using a model developed on the radial-diffusion assumption, and the photochemical reaction in the system has been investigated using Langmuir-Hinshelwood kinetic theory. A room self-cleaning process has been analysed, taking into account the effect of pollutant-generating rate and air flow rate on mop reaction efficiency and self-cleaning time. It is concluded that increased mop fibre diameter and quantity, as well as enhanced light source intensity, benefit the dynamic and photochemical performance of the mop cleaning system. Increasing the air flow rate and reducing pollutant-generating rate can significantly shorten the time to achieve a steady-state condition and helps to reduce pollutant concentration in the room.
机译:对新型拖把风扇空气清洁系统的性能进行了理论研究,该系统能够在室内空气在整个建筑空间中循环的同时进行自清洁。因此,拖把风扇减少了对室外新鲜空气的需求,从而减少了加热/冷却空​​气的能量。拖把叶轮的流体动力学特性已使用基于先前测试数据开发的模型进行了模拟。诸如体积流量系数C_Q,压力系数C_(Δp)和功率系数C_P的特征参数被表示为转速,拖把纤维数量和直径的函数。建议最佳工作状态,以实现最大的静态效率。使用基于径向扩散假设开发的模型模拟了拖把清洁系统的紫外光子特性,并使用Langmuir-Hinshelwood动力学理论研究了系统中的光化学反应。考虑到污染物产生速率和空气流速对拖把反应效率和自清洁时间的影响,对房间的自清洁过程进行了分析。结论是,拖把纤维直径和数量的增加以及光源强度的增强,有利于拖把清洁系统的动态和光化学性能。增加空气流量和降低污染物产生速率可以显着缩短达到稳态条件的时间,并有助于降低室内污染物的浓度。

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