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期刊信息
  • 主管单位:
  • 上海市教育委员会
  • 主办单位:
  • 上海理工大学、上海市能源研究会、上海电气(集团)总公司
  • 主  编:
  • 陈康民
  • 地  址:
  • 上海市军工路516号
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55272843
  • 电子邮件:
  • eribjb@usst.edu.cn
  • 国际标准刊号:
  • 1008-8857
  • 国内统一刊号:
  • 31-1410/TK
  • 邮发代号:
  • 单    价:
  • 5.00
  • 定    价:
  • 20.00
自然通风建筑内空气流动和污染物扩散的数值模拟
Numerical simulation of indoor air flow and pollutant dispertion in an isolated building with natural ventilation
投稿时间:2019-03-04  
DOI:10.13259/j.cnki.eri.2019.03.002
中文关键词:  自然通风  紊流模型  紊流施密特数  流场  污染物浓度
英文关键词:natural ventilation  turbulence model  turbulent Schmidt number  flow field  pollutant concentration
基金项目:上海市级大学生创新创业训练计划资助项目(SH2018121)
作者单位
谢海英 上海理工大学 环境与建筑学院,上海 200093 
沐贤维 上海理工大学 环境与建筑学院,上海 200093 
李晓 上海理工大学 环境与建筑学院,上海 200093 
王晓晓 上海理工大学 环境与建筑学院,上海 200093 
黄山 上海理工大学 环境与建筑学院,上海 200093 
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中文摘要:
      数值模拟了单体自然通风建筑模型内的空气流动和污染物扩散,考察了紊流施密特数Sct对污染物模拟值的影响。结果表明,选取的3种紊流模型对时均流速和紊动能的模拟值和风洞试验值基本一致,标准k-ε模型与realizable k-ε模型模拟的流场较相似,其浓度场结果也基本相同,当Sct为0.8~1.0时,模拟值和试验值吻合得最好。由于RNG k-ε模型对地面污染源附近的时均流动模拟不准确,导致其浓度模拟值和试验值相差较大,因此,选取合理的Sct时,应基于准确的流动模拟,而不能仅考察浓度模拟值和试验值的吻合程度。
英文摘要:
      Using Fluent software, the air flow and pollutant dispersion in an isolated building model with natural ventilation were studied. The effects of turbulent Schmidt number (Sct) on pollutant concentration were investigated. The simulation results of both time-averaged velocity and turbulent kinetic energy from three turbulence models including standard k-ε, realizable k-ε and RNG k-ε agreed with the measured values in the wind tunnel. The flow field attained by standard k-ε model was similar with the results from realizable k-ε model. Their concentration fields were almost identical. The best agreement of their concentration values with experimental data was obtained when Sct was 0.8~1.0. RNG k-ε model could not predict the time-averaged velocity near the pollutant source correctly, leading to the big gap between the simulation results and experimental results of the pollutant concentration. Therefore, reasonable Sct could be chosen by not only the correct prediction of concentration distribution but also the accurate simulation of flow field.
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