TY - JOUR
T1 - The future of WRRF modelling - Outlook and challenges
AU - Regmi, Pusker
AU - Stewart, Heather
AU - Amerlinck, Youri
AU - Arnell, Magnus
AU - García, Pau Juan
AU - Johnson, Bruce
AU - Maere, Thomas
AU - Miletić, Ivan
AU - Miller, Mark
AU - Rieger, Leiv
AU - Samstag, Randal
AU - Santoro, Domenico
AU - Schraa, Oliver
AU - Snowling, Spencer
AU - Takács, Imre
AU - Torfs, Elena
AU - van Loosdrecht, Mark C. M.
AU - Vanrolleghem, Peter A.
AU - Villez, Kris
AU - Volcke, Eveline I.P.
AU - Weijers, Stefan
AU - Grau, Paloma
AU - Jimenez, José
AU - Rosso, Diego
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - activated sludge model
KW - big-data
KW - computational fluid dynamics
KW - dynamic simulation
KW - modelling
KW - wastewater
U2 - 10.2166/wst.2018.498
DO - 10.2166/wst.2018.498
M3 - Article
C2 - 30816857
AN - SCOPUS:85062411629
VL - 79
SP - 3
EP - 14
JO - Water Science and Technology
JF - Water Science and Technology
SN - 0273-1223
IS - 1
ER -