期刊文献+

多模式通风净化器的性能模拟 被引量:1

Performance simulation of a multiple-mode ventilator for ventilation and air filtration
下载PDF
导出
摘要 提出了一种具有多种使用模式的通风净化器,在其自然通风和机械通风通道中安装了不同净化效率的空气过滤器。为评估该通风净化器的性能,将不同操作模式下的阻力-流量特性和颗粒过滤性能引入到EnergyPlus中进行建模,模拟了通风净化器的风量和空气过滤效率,并通过实验数据进行了验证。使用该模型对通风净化器在不同气候区典型房间的空气品质和能耗进行模拟,结果显示在满足室内空气品质的前提下,通风净化器较现有高效新风机可降低高效净化模式70%左右的使用时长,单位面积年通风净化能耗降低约30%。 Proposes a ventilator with multiple modes of air filtration,and installs different efficiencies of air filters into the natural and mechanical ventilation ducts respectively.To evaluate the performance of the ventilator,establishes a model in the EnergyPlus with the resistance-flow characteristics and particulate filtration performance in different operating modes.Simulates the ventilation rate and air filtration efficiency of the ventilator and validates with the experimental data.Simulates the indoor air quality and operating energy consumption in a typical apartment utilizing the ventilators in different climatic zones.The results show that meeting the required indoor air quality,the ventilator shortens approximately 70%of the running time at the HEPA filtration mode,compared with the outdoor air blower with the HEPA filtration,and the annual operating energy consumption per unit area is also approximately 30%lower.
作者 李发成 张腾飞 Li Facheng;Zhang Tengfei(Dalian University of Technology,Dalian,Liaoning Province,China;不详)
出处 《暖通空调》 2020年第3期117-122,79,共7页 Heating Ventilating & Air Conditioning
基金 国家重点基础研究发展计划项目(编号:2016YFC0700500) 国家自然科学基金资助项目(编号:51622804)。
关键词 通风 空气净化 ENERGYPLUS 能耗 空气品质 ventilation air purification EnergyPlus energy consumption air quality
  • 相关文献

参考文献2

二级参考文献22

  • 1刘煜,李维亮,周秀骥.夏季华北地区二次气溶胶的模拟研究[J].中国科学(D辑),2005,35(A01):156-166. 被引量:32
  • 2北京市统计局,国家统计局北京调查总队.北京市统计年鉴2011[M].北京:中国统计出版社,2011.
  • 3Pope C A. Epidemiology of fine particulate airpollution and human health: biologic mechanisms andwho’s at risk. [ J ]. Environmental HealthPerspectives,2000,108(S4) :713.
  • 4Pope C A, Burnett R T, Thurston G D, et al.Cardiovascular mortality and long-term exposure toparticulate air pollution epidemiological evidence ofgeneral pathophysiological pathways of disease [J].Circulation, 2004,109(1):71-77.
  • 5Chen C, Zhao B,Zhou W, et al. A methodology forpredicting particle penetration factor through cracksof windows and doors for actual engineeringapplication[J]. Building and Environment, 2012,47(1): 339-348.
  • 6Chen C,Zhao B,Weschler C J, Indoor exposure to“outdoor PM10”: assessing its influence on therelationship between PM10 and short-term mortality inUS cities[J]. Epidemiology, 2012, 23(6) : 870- 878.
  • 7Riley W J,McKone T E,Lai A C,et al. Indoorparticulate matter of outdoor origin: importance ofsize-dependent removal mechanisms [ J ].Environmental Science Technology, 2002,36(2);200—207.
  • 8He C,Morawska L,Hitchins J,et al. Contributionfrom indoor sources to particle number and massconcentrations in residential houses [J], AtmosphericEnvironment, 2004,38(21):3405-3415.
  • 9段晓丽.暴露参数的研究方法及其在环境健康风险评价中的应用[M].北京:科学出版社,2012.
  • 10李莉,陈长虹,黄成,黄海英,李作攀,Joshua S. Fu,Carey J. Jang,David G. Streets.长江三角洲地区大气O3和PM10的区域污染特征模拟[J].环境科学,2008,29(1):237-245. 被引量:92

共引文献95

同被引文献8

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部