Operational Cleaning Optimization

Operational Cleaning Optimization is a methodological framework within membrane regeneration research that systematically enhances the efficiency, frequency, and chemical utilization of cleaning protocols in membrane filtration systems by dynamically adjusting operational parameters based on real-time performance and fouling data.

9

Publications

387

Citations

46

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

46

  1. ZP
    Zheng Pei

    University of Oklahoma, United States

    1 publications · 22 citations

    1

    h-index

  2. HK
    Ho Kyong Shon

    University of Technology Sydney, Australia

    1 publications · 74 citations

    1

    h-index

  3. JE
    Jung Eun Kim

    University of Technology Sydney, Australia

    1 publications · 74 citations

    1

    h-index

  4. JW
    Jian Wang

    Ministry of Transport, China

    1 publications · 25 citations

    1

    h-index

  5. QY
    Qing Yu Chong

    National University of Singapore, Singapore

    1 publications · 29 citations

    1

    h-index

1–5 of 46

Venues

  1. Desalination

    5 publications · 265 citations

    5

    h-index

  2. The Science of The Total Environment

    1 publications · 16 citations

    1

    h-index

  3. Journal of Membrane Science

    1 publications · 38 citations

    1

    h-index

  4. Experimental Thermal and Fluid Science

    ETFS · 1 publications · 45 citations

    1

    h-index

  5. RSC Advances

    1 publications · 23 citations

    1

    h-index

1–5