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Membranes 2013, 3(1), 16-23; doi:10.3390/membranes3010016
Article
Comparing and Contrasting Traditional Membrane Bioreactor Models with Novel Ones Based on Time Series Analysis
School of Engineering and Design, Brunel University, Uxbridge, Middlesex UB8 3PH, UK
Received: 12 September 2012; in revised form: 12 January 2013 / Accepted: 16 January 2013 / Published: 6 February 2013
Abstract: The computer modelling and simulation of wastewater treatment plant and their specific technologies, such as membrane bioreactors (MBRs), are becoming increasingly useful to consultant engineers when designing, upgrading, retrofitting, operating and controlling these plant. This research uses traditional phenomenological mechanistic models based on MBR filtration and biochemical processes to measure the effectiveness of alternative and novel time series models based upon input–output system identification methods. Both model types are calibrated and validated using similar plant layouts and data sets derived for this purpose. Results prove that although both approaches have their advantages, they also have specific disadvantages as well. In conclusion, the MBR plant designer and/or operator who wishes to use good quality, calibrated models to gain a better understanding of their process, should carefully consider which model type is selected based upon on what their initial modelling objectives are. Each situation usually proves unique.
Keywords: wastewater treatment; membrane bioreactor; modelling; time series analysis
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MDPI and ACS Style
Paul, P. Comparing and Contrasting Traditional Membrane Bioreactor Models with Novel Ones Based on Time Series Analysis. Membranes 2013, 3, 16-23.
AMA StylePaul P. Comparing and Contrasting Traditional Membrane Bioreactor Models with Novel Ones Based on Time Series Analysis. Membranes. 2013; 3(1):16-23.
Chicago/Turabian StylePaul, Parneet. 2013. "Comparing and Contrasting Traditional Membrane Bioreactor Models with Novel Ones Based on Time Series Analysis." Membranes 3, no. 1: 16-23.
Membranes
EISSN 2077-0375
Published by MDPI AG, Basel, Switzerland
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