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The future of WRRF modelling - Outlook and challenges

Regmi, Pusker; Stewart, Heather; Amerlinck, Youri; Arnell, Magnus LU ; García, Pau Juan; Johnson, Bruce; Maere, Thomas; Miletić, Ivan; Miller, Mark and Rieger, Leiv, et al. (2019) In Water Science and Technology 79(1). p.3-14
Abstract

The wastewater industry is currently facing dramatic changes, shifting away from energy-intensive wastewater treatment towards low-energy, sustainable technologies capable of achieving energy positive operation and resource recovery. The latter will shift the focus of the wastewater industry to how one could manage and extract resources from the wastewater, as opposed to the conventional paradigm of treatment. Debatable questions arise: Can the more complex models be calibrated, or will additional unknowns be introduced? After almost 30 years using well-known International Water Association (IWA) models, should the community move to other components, processes, or model structures like 'black box' models, computational fluid dynamics... (More)

The wastewater industry is currently facing dramatic changes, shifting away from energy-intensive wastewater treatment towards low-energy, sustainable technologies capable of achieving energy positive operation and resource recovery. The latter will shift the focus of the wastewater industry to how one could manage and extract resources from the wastewater, as opposed to the conventional paradigm of treatment. Debatable questions arise: Can the more complex models be calibrated, or will additional unknowns be introduced? After almost 30 years using well-known International Water Association (IWA) models, should the community move to other components, processes, or model structures like 'black box' models, computational fluid dynamics techniques, etc.? Can new data sources - e.g. on-line sensor data, chemical and molecular analyses, new analytical techniques, off-gas analysis - keep up with the increasing process complexity? Are different methods for data management, data reconciliation, and fault detection mature enough for coping with such a large amount of information? Are the available calibration techniques able to cope with such complex models? This paper describes the thoughts and opinions collected during the closing session of the 6th IWA/WEF Water Resource Recovery Modelling Seminar 2018. It presents a concerted and collective effort by individuals from many different sectors of the wastewater industry to offer past and present insights, as well as an outlook into the future of wastewater modelling.

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Contribution to journal
publication status
published
subject
keywords
activated sludge model, big-data, computational fluid dynamics, dynamic simulation, modelling, wastewater
in
Water Science and Technology
volume
79
issue
1
pages
12 pages
publisher
IWA Publishing
external identifiers
  • scopus:85062411629
ISSN
0273-1223
DOI
10.2166/wst.2018.498
language
English
LU publication?
yes
id
6dd068cb-6cef-4b72-a560-450bf1213e35
date added to LUP
2019-03-14 14:37:34
date last changed
2019-03-15 03:00:02
@article{6dd068cb-6cef-4b72-a560-450bf1213e35,
  abstract     = {<p>The wastewater industry is currently facing dramatic changes, shifting away from energy-intensive wastewater treatment towards low-energy, sustainable technologies capable of achieving energy positive operation and resource recovery. The latter will shift the focus of the wastewater industry to how one could manage and extract resources from the wastewater, as opposed to the conventional paradigm of treatment. Debatable questions arise: Can the more complex models be calibrated, or will additional unknowns be introduced? After almost 30 years using well-known International Water Association (IWA) models, should the community move to other components, processes, or model structures like 'black box' models, computational fluid dynamics techniques, etc.? Can new data sources - e.g. on-line sensor data, chemical and molecular analyses, new analytical techniques, off-gas analysis - keep up with the increasing process complexity? Are different methods for data management, data reconciliation, and fault detection mature enough for coping with such a large amount of information? Are the available calibration techniques able to cope with such complex models? This paper describes the thoughts and opinions collected during the closing session of the 6th IWA/WEF Water Resource Recovery Modelling Seminar 2018. It presents a concerted and collective effort by individuals from many different sectors of the wastewater industry to offer past and present insights, as well as an outlook into the future of wastewater modelling.</p>},
  author       = {Regmi, Pusker and Stewart, Heather and Amerlinck, Youri and Arnell, Magnus and García, Pau Juan and Johnson, Bruce and Maere, Thomas and Miletić, Ivan and Miller, Mark and Rieger, Leiv and Samstag, Randal and Santoro, Domenico and Schraa, Oliver and Snowling, Spencer and Takács, Imre and Torfs, Elena and van Loosdrecht, Mark C. M. and Vanrolleghem, Peter A. and Villez, Kris and Volcke, Eveline I.P. and Weijers, Stefan  and Grau, Paloma  and Jimenez, José and Rosso, Diego},
  issn         = {0273-1223},
  keyword      = {activated sludge model,big-data,computational fluid dynamics,dynamic simulation,modelling,wastewater},
  language     = {eng},
  number       = {1},
  pages        = {3--14},
  publisher    = {IWA Publishing},
  series       = {Water Science and Technology},
  title        = {The future of WRRF modelling - Outlook and challenges},
  url          = {http://dx.doi.org/10.2166/wst.2018.498},
  volume       = {79},
  year         = {2019},
}