CIESC Journal

• 能源和环境工程 • 上一篇    下一篇

基于模拟循环冷却装置的微生物污垢形成的影响因素

于大禹1,尹旭1,张静1,高波1,王刚1,曹生现2,杨善让2,徐志明SPAN   

  1. 1东北电力大学化学工程学院;2东北电力大学节能与测控技术研究中心,吉林省 吉林市 132012
  • 出版日期:2011-12-05 发布日期:2011-12-05

Factors affecting microbial fouling formation in simulated  recirculating cooling-water system

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  • Online:2011-12-05 Published:2011-12-05

摘要:

从松花江水中分离出黏液形成菌N1,形态学及生理生化指标鉴定其为微球菌属。利用污垢形成动态模拟实验装置,进行污垢热阻在线监测及传热特性分析,结果表明:在恒定工况下[水温30℃,流速0.4 m·s-1,微生物浓度(7.0×106)~(2.2×1010cfu·ml-1],不锈钢管的微生物污垢诱导期为57 h

Abstract:

A slime-forming bacterial strain N1 was isolated and purified from the Songhua River.According to the morphological observation as well as the physiological and biochemical indexes, the strain was identified as Micrococcus.Under certain experimental condition (water temperature 30, flow velocity 0.4 m·s-1 and microorganism concentration between 7.0×106 cfu·ml-1 and 2.2×1010 cfu·ml-1), the fouling resistance was monitored online in an experimental device for dynamic simulation of forming fouling, and the heat transfer characteristics were analyzed.The induction period of microbial fouling in the stainless steel tube was about 57 h, which was shorter than that in the copper tube.In the contrast experiment with converging-diverging tube, it was found that flow velocity had certain influence on the formation of microbial fouling.The change of flow velocity could prolong the induction period of microbial fouling.During the dynamic experiment, many water quality parameters including pH, conductivity, total bacterial count, total nitrogen and COD were detected periodically.Based on the grey relational algorithm, the correlation for water quality parameters and microbial fouling was analyzed, which provides a theoretical basis for predicting the microbial fouling and selecting the effective measures for scale removal.

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