Treatability Prediction Method for Nanofiltration Systems in Drinking Water Treatments

정수처리에 이용되는 나노여과막시스템의 성능예측방법 확립

  • 강미아 (안동대학교 공과대학 환경공학과) ;
  • 伊藤雅喜 (일본 국립보건의료과학원 수도공학부)
  • Received : 2005.06.22
  • Accepted : 2005.09.27
  • Published : 2005.10.15

Abstract

This research is conducted to develop predictable method of real scale nanofiltration treatability with small scale nanofiltration experiments. As a result of comparing calculated values with measured values, they are in a good agreement for the concentrations in filtered water and concentrated water. The results of that are not affected by change of system recovery from 20% to 95%. The proposed method is produced using constant recovery of elements, that is, no considering the pressure change. we can predict filtrated flux and contaminant concentrations with the method. The method has the following steps. (1) Calculate recovery of each element with water quality level after fixing recovery elements, (2) Predict system recovery with recovery of elements in 1, 2, 3, and 4 banks, (3) Run small scale nanofiltration experiments in predicted water quality and (4) Simulate large scale nanofiltration system for forecasting actual water quality. As the cost for nanofiltration pretest will reduced if we use the proposed method, it will be a promising method for introducing nanofiltration to supply safe drinking water.

Keywords

References

  1. 강미아. Yasumoto Magara (1999) Nanofiltration을 이용한 정 수과정의 유기물처리성평가에 관한 연구. 대한환경공학회지, 21(10), pp.1907-1913
  2. 조재원 (2004). 멤브레인공학 선광문화사, 서울
  3. 水道膜ろ週法人門 (2002), pp,9-26,日本水道新聞社. 일본
  4. 伊藤雅喜, 國包章一 (1999a), 半回分試験によるナノろ過膜 の評價方法: 水道協會雑誌, 68(11), pp,21-31
  5. 伊藤雅喜, 國包章一(1999b), 半回分詞験によるナノろ過膜 の基礎的性能評價, 水道協會雜誌, 68(12), pp. 29-41
  6. Amy, G.L, Alleman, B.C., Cluff, C.B. (1990) Removal of dissolved organic matter by nanofotration, J. Envir. Engrg., 116(1), pp. 200-205 https://doi.org/10.1061/(ASCE)0733-9372(1990)116:1(200)
  7. Blau, T.J., Taylor, J.S., Morri, K.E., Mulford, L.A (1992), DBP control by nanofitration: Cost and performance. J. AWWA, 84(12), pp. 104-116
  8. Fu, P., Ruiz, H., Thompson, K., Spangenberg, C. (1994) Selecting membranes for removing NOM and DBP precusors. J. AWWA, 86(12), pp. 55-72
  9. Meea Kang, Muzuo Kawasaki, Sinya Tamada, Tasuku Kamei and Yasumoto Magara (2000) Effect of pH on the removal of arsenic and antimony using reverse osmosis membranes. Desalination, 131(1), pp. 293-298 https://doi.org/10.1016/S0011-9164(00)90027-4
  10. M.Itoh, S. Kunikane, Y.Magara (2001) Evaluation of nanofitration for disinfection by-products control in drinking water treatment. Water Science and Technology: Water Supply, 1(5/6), pp. 233-243
  11. Magara. Y., Kunikane, S., Itoh, M. (1998) Advanced membrane technology for application to water treatment. J. Membr. Sci., 37(10), pp. 91-99 https://doi.org/10.1016/S0376-7388(00)85072-3
  12. Sato Yuko, Meea Kang, Tasuku Kamei, Yasumoto Magara (2002) Performance of nanofiltration for arsenic removal. Water Research, 36(6), pp. 3371-3377 https://doi.org/10.1016/S0043-1354(02)00037-4