The future of WRRF modelling - outlook and challenges

被引:35
|
作者
Regmi, Pusker [1 ]
Stewart, Heather [2 ]
Amerlinck, Youri [3 ]
Arnell, Magnus [4 ,5 ]
Garcia, Pau Juan [6 ]
Johnson, Bruce [2 ]
Maere, Thomas [7 ,8 ]
Miletic, Ivan [9 ]
Miller, Mark [1 ]
Rieger, Leiv [9 ]
Samstag, Randal
Santoro, Domenico [10 ]
Schraa, Oliver [9 ]
Snowling, Spencer [11 ]
Takacs, Imre [12 ]
Torfs, Elena [7 ,8 ]
van Loosdrecht, Mark C. M. [13 ]
Vanrolleghem, Peter A. [7 ,8 ]
Villez, Kris [14 ,15 ]
Volcke, Eveline I. P. [3 ]
Weijers, Stefan [16 ]
Grau, Paloma [17 ]
Jimenez, Jose [1 ]
Rosso, Diego [18 ]
机构
[1] Brown & Caldwell, Walnut Creek, CA 94596 USA
[2] Jacobs, Denver, CO USA
[3] Univ Ghent, Ghent, Belgium
[4] Lund Univ, Div Ind Elect Engn & Automat IEA, Dept Biomed Engn BME, POB 118, SE-22100 Lund, Sweden
[5] RISE Res Inst Sweden, Gjuterigatan 1D, SE-58273 Linkoping, Sweden
[6] Atkins, Bristol, Avon, England
[7] Univ Laval, modelEAU, Laval, PQ, Canada
[8] Quebec Water Res Ctr, CentrEau, Quebec City, PQ, Canada
[9] inCTRL Solut Inc, Dundas, ON, Canada
[10] Trojan Technol, Res & Dev, 3020 Gore Rd, London, ON N5V 4T7, Canada
[11] Hydromantis ESS Inc, 407 King St West, Hamilton, ON, Canada
[12] Dynamita, Nyons, France
[13] Delft Univ Technol, Delft, Netherlands
[14] Eawag Swiss Fed Inst Aquat Sci & Technol, CH-8600 Dubendorf, Switzerland
[15] Swiss Fed Inst Technol, Inst Environm Engn, CH-8093 Zurich, Switzerland
[16] Waterschap Dommel, Eindhoven, Netherlands
[17] Univ Navarra, Ceit & Tecnun, San Sebastian, Spain
[18] Univ Calif Irvine, Civil & Environm Engn Dept, Water Energy Nexus Ctr, Irvine, CA 92697 USA
关键词
activated sludge model; big-data; computational fluid dynamics; dynamic simulation; modelling; wastewater; WASTE-WATER TREATMENT; PRINCIPAL COMPONENT ANALYSIS; BIOLOGICAL NITROGEN REMOVAL; CHEMICAL OXYGEN-DEMAND; ACTIVATED-SLUDGE; DATA RECONCILIATION; SIZE DISTRIBUTION; PARAMETERS; SYSTEMS; PERSPECTIVE;
D O I
10.2166/wst.2018.498
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:3 / 14
页数:12
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