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Description: An Essential Tool for WRRF Modeling: A Realistic and Complete Influent Generator for...
An Essential Tool for WRRF Modeling: A Realistic and Complete Influent Generator for Flow Rate and Water Quality Based On Machine Learning
Abstract
Modelling, automation and control are widely used for water resource recovery facility (WRRF) optimization. For this, a reliable dynamic influent generator (IG) is essential as key input. An IG model is required to provide the flowrate and pollutant concentration dynamics for the inlet of the WRRF, with different time resolution and scale, depending on the modelling objective. In this study, a data-driven IG model, using different machine learning methods, is proposed and tested. The IG model is able to generate daily and/or hourly flowrate as well as pollutant concentration profiles (COD, TSS and nutrients).
Modelling, automation and control are widely used for water resource recovery facility (WRRF) optimization. For this, a reliable dynamic influent generator (IG) is essential as key input. An IG model is required to provide the flowrate and pollutant concentration dynamics for the inlet of the WRRF, with different time resolution and scale, depending on the modelling objective. In this study, a data-driven IG model, using different machine learning methods, is proposed and tested. The IG model is able to generate daily and/or hourly flowrate as well as pollutant concentration profiles (COD, TSS and nutrients).
SpeakerLi, Feiyi
Presentation time
13:50:00
14:10:00
Session time
13:30:00
15:30:00
SessionNext Generation Data Analytics
Session number201
TopicFacility Operations and Maintenance, Intelligent Water, Municipal Wastewater Treatment Design, Research and Innovation
TopicFacility Operations and Maintenance, Intelligent Water, Municipal Wastewater Treatment Design, Research and Innovation
Author(s)
F. Li,P. Vanrolleghem,A. Amaral,
Author(s)F. Li1; ,2; P. Vanrolleghem1; ,2; A. Amaral1; ,2;
Author affiliation(s)modelEAU, University Laval, QC1; CentrEau, Quebec Water Research Center2
SourceProceedings of the Water Environment Federation
Document typeConference Paper
PublisherWater Environment Federation
Print publication date Oct 2020
DOI10.2175/193864718825157810
Volume / Issue
Content sourceWEFTEC
Copyright2020
Word count23

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