The future of WRRF modelling - Outlook and challenges
(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.
(Less)
- author
- organization
- publishing date
- 2019
- type
- 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
- pmid:30816857
- 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
- 2024-09-17 15:46:01
@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}}, keywords = {{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}}, doi = {{10.2166/wst.2018.498}}, volume = {{79}}, year = {{2019}}, }