화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korean Journal of Chemical Engineering, Vol.34, No.11, 2966-2977, November, 2017
DOI10.1007/s11814-017-0197-8  Export Citation
Interpretation and diagnosis of fouling progress in membrane bioreactor plants using a periodic pattern recognition method
KiJeon Nam, MinJeong Kim1, Seungchul Lee, Soonho Hwangbo, and ChangKyoo Yoo†
  • Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, Seocheon-dong 1, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Korea
  • 1Korea Railroad Research Institute, 76, Cheoldobangmulgwan-ro, Uiwang-si, Gyeonggi-do 16105, Korea
E-mail:
Fouling is a principal constraint of membrane bioreactors (MBRs). It blocks the wide use of MBRs and aggravates the ability of MBRs. Trans-membrane pressure (TMP) is measured simply from MBRs and is a useful factor for evaluating fouling phenomena such as fouling mechanisms. Fouling mechanism diagnosis based on a measured TMP was used to evaluate MBRs operation conditions. However, diagnosis of MBR conditions is difficult due to the dynamic conditions of MBRs. Therefore, we used differential calculus, exponential weighted moving average (EWMA) and fast Fourier transform (FFT) to determine a periodic pattern for diagnosing fouling mechanisms in the dynamic operating conditions of MBRs. The periodic pattern was reflected in the operating conditions of MBRs, based on the fouling mechanism using TMP. We used two data sets obtained from pilot-scale MBR to suggest a periodic pattern and validated the proposed method using a lab-scale MBR experiment. Consequently, the suggested periodic pattern can diagnose fouling mechanisms using the proposed method, because the methods can be adjusted under the dynamic conditions of MBRs.
Keywords:Membrane Bioreactor (MBR);Fouling Mechanism;Periodic Pattern Recognition;Differential Calculus;Fast Fourier Transform (FFT)
  1. Xie F, Liu J, Wang J, Chen W, Korean J. Chem. Eng., 33(7), 2169 (2016)
  2. Adib H, Hassanajili S, Sheikhi-Kouhsar MR, Salahi A, Mohammadi T, Korean J. Chem. Eng., 32(1), 159 (2015)
  3. Muhamad MS, Salim MR, Lau WJ, Korean J. Chem. Eng., 32(11), 2319 (2015)
  4. Abdelrasoul A, Doan H, Lohi A, Cheng CH, Korean J. Chem. Eng., 33(3), 1014 (2016)
  5. Drews A, J. Membr. Sci., 363(1-2), 1 (2010)
  6. Bolton G, LaCasse D, Kuriyel R, J. Membr. Sci., 277(1-2), 75 (2006)
  7. Wang ZW, Ma JX, Tang CYY, Kimura K, Wang QY, Han XM, J. Membr. Sci., 468, 276 (2014)
  8. Shi X, Tal G, Hankins NP, Gitis V, J. Water Process Eng., 1, 121 (2014)
  9. Nourbakhsh H, Emam-Djomeh Z, Mirsaeedghazi H, Omid M, Moieni S, Int. J. Food Sci. Technol., 49, 58 (2014)
  10. Mondal S, De S, J. Membr. Sci., 344(1-2), 6 (2009)
  11. Contreras AE, Kim A, Li QL, J. Membr. Sci., 327(1-2), 87 (2009)
  12. Yao M, Ladewig B, Zhang KS, Desalination, 278(1-3), 126 (2011)
  13. Polderman JW, Willems JC, Introduction to the mathematical theory of systems and control, Springer, New York (1998).
  14. Serel DA, Moskowitz H, Eur. J. Oper. Res., 184, 157 (2008)
  15. Liu Y, Guo L, Wang Q, An G, Guo M, Lian H, Mech. Syst. Signal Proc., 24, 2961 (2010)
  16. Chai T, Draxler RR, Geosci. Model Dev., 7, 1247 (2014)
  17. Judd S, The MBR book: principles and applications of membrane bioreactors for water and wastewater treatment, Elsevier, Amsterdam (2010).
  18. Chen MY, Chen BT, Appl. Soft. Comput., 14, 156 (2014)
  19. Kim MJ, Yoo GY, Yoo CK, Asia Pac. J. Chem. Eng., 6, 423 (2011)
  20. Hlavacek M, Bouchet F, J. Membr. Sci., 82, 285 (1993)
  21. Iritani E, Dry. Technol., 31, 146 (2013)
  22. Stewart J, Calculus early transcendentals, CT: Brooks/Cole Cengage Learning, Stamford (2010).
  23. Carey E, Undergrad. J. Math. Model., 1, 2 (2009)
  24. Yoon SH, Membrane bioreactor processes: Principles and applications, CRC Press, Florida (2016).
  25. Gkotsis PK, Banti DC, Peleka EN, Zouboulis AI, Samaras PE, Process., 2, 759 (2014)
  26. Zhang J, Chua HC, Zhou J, Fane AG, J. Membr. Sci., 284(1-2), 54 (2006)
  27. Hwang BK, Lee CH, Chang IS, Drews A, Field R, J. Membr. Sci., 419, 33 (2012)
  28. Chang S, Fane AG, Vigneswaran S, AIChE J., 48(10), 2203 (2002)
  29. Ho CC, Zydney AL, J. Membr. Sci., 209(2), 363 (2002)
  30. Serel DA, Moskowitz H, Eur. J. Oper. Res., 184, 157 (2008)
  31. Jones LA, Champ CW, Rigdon SE, Technometrics, 43, 156 (2012)
  32. Cisar P, Cisar SM, Acta Polytech. Hung., 8, 73 (2011)
  33. Elliott DF, Handbook of digital signal processing: engineering applications, Academic Press, New York (2013).
  34. Leys C, Ley C, Klein O, Bernard P, Licata L, J. Exp. Soc. Psychol., 49, 764 (2013)
  35. Abbas N, Riaz M, Does RJ, Qual. Reliab. Eng. Int., 27, 821 (2011)
  36. Montgomery DC, Introduction to statistical quality control, John Wiley & Sons, New York (2007).
  37. Noskievicova D, Int. J. Eng. Bus. Manage., 5, 13 (2013)
  38. Tzimiropoulos G, Argyriou V, Zafeiriou S, Stathaki T, IEEE Trans. Pattern Anal. Mach., 32, 1899 (2010)
  39. Sha YT, Bao CC, Jia MS, Liu X, IEEE Intl. Conf. Acoustics Speech and Signal Processing, 381 (2010).
  40. Kim MJ, Ph.D. Thesis, Kyung Hee Univ., Korea (2016).
  41. Miller DJ, Kasemset S, Paul DR, Freeman BD, J. Membr. Sci., 454, 505 (2014)
  42. Park HD, Chang IS, Lee KJ, Principles of Membrane Bioreactors for Wastewater Treatment, CRC Press, Florida (2015).