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Reducing aeration energy consumption in a large-scale membrane bioreactor: Process simulation and engineering application
- Source :
- Water research. 93
- Publication Year :
- 2015
-
Abstract
- Reducing the energy consumption of membrane bioreactors (MBRs) is highly important for their wider application in wastewater treatment engineering. Of particular significance is reducing aeration in aerobic tanks to reduce the overall energy consumption. This study proposed an in situ ammonia-N-based feedback control strategy for aeration in aerobic tanks; this was tested via model simulation and through a large-scale (50,000 m(3)/d) engineering application. A full-scale MBR model was developed based on the activated sludge model (ASM) and was calibrated to the actual MBR. The aeration control strategy took the form of a two-step cascaded proportion-integration (PI) feedback algorithm. Algorithmic parameters were optimized via model simulation. The strategy achieved real-time adjustment of aeration amounts based on feedback from effluent quality (i.e., ammonia-N). The effectiveness of the strategy was evaluated through both the model platform and the full-scale engineering application. In the former, the aeration flow rate was reduced by 15-20%. In the engineering application, the aeration flow rate was reduced by 20%, and overall specific energy consumption correspondingly reduced by 4% to 0.45 kWh/m(3)-effluent, using the present practice of regulating the angle of guide vanes of fixed-frequency blowers. Potential energy savings are expected to be higher for MBRs with variable-frequency blowers. This study indicated that the ammonia-N-based aeration control strategy holds promise for application in full-scale MBRs.
- Subjects :
- Engineering
Environmental Engineering
Activated sludge model
Membrane bioreactor
Waste Disposal, Fluid
Water Purification
Bioreactors
Ammonia
Bioreactor
Computer Simulation
Process simulation
Waste Management and Disposal
Water Science and Technology
Civil and Structural Engineering
business.industry
Ecological Modeling
Air
Environmental engineering
Membranes, Artificial
Energy consumption
Models, Theoretical
Pollution
Oxygen
Activated sludge
Sewage treatment
Aeration
business
Algorithms
Subjects
Details
- ISSN :
- 18792448
- Volume :
- 93
- Database :
- OpenAIRE
- Journal :
- Water research
- Accession number :
- edsair.doi.dedup.....74b7035cbd75397f5a9978de43fd11db