| Project/Area Number |
14550548
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Civil and environmental engineering
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| Research Institution | Musashi Institute of Technology |
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Principal Investigator |
NAGAOKA Hirohsi Musashi Institute of Technology, Faculty of Engineering, Associate Professor, 工学部, 助教授 (90207986)
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| Co-Investigator(Kenkyū-buntansha) |
綾 日出教 武蔵工業大学, 工学部, 教授 (60010675)
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| Project Period (FY) |
2002 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2004: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2003: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2002: ¥1,500,000 (Direct Cost: ¥1,500,000)
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| Keywords | membrane bioreactors / Extracellular polymeric substances / EPS / shear stress / extended Kalman Filter / Kalman Filter / 拡張カル万フィルター / 気泡流 / せん断応力 / 平膜 / 中空糸膜 / 粘性係数 / エキスパートシステム / ばっ気風量 / 運動制御 / 膜目詰まり / 菌体外高分子ポリマー / 膜間差圧 |
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| Research Abstract |
Membrane fauling process in membrane bioreactors was modeled and an expert system for the maintenance of membrane bioreactors was developed. The developed model considered production and decomposition of membrane fouling substances (extracellular polymeric substances), which were divided into high molecular, middle-molecular and-low molecular parts. Accumulated high-molecular weight EPS on membrane surface were found to be decomposed to low-molecular weight EPS resulting in the decrease of trans-membrane pressure.
Mechanism of membrane cleaning by air-bubbling in MBR reactors was discussed using shear-stress sensors. Existence of bubbles and particles in reactors were found to cause strong shear stress on membrane surface. Time-series data of shear stress were analyzed and a model was developed to relate cleaning efficiency of membrane surface and shear stress fluctuation.
A mathematical model was developed to predict trans-membrane pressure considering the production, accumulation, decomposition and detachment of EPS and model parameter were successfully identified using Kalman Filter. Prediction of membrane fouling using the developed model and identified parameters was successful as the simulated results were in good agreement with the measured results.
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