Predictive optimal control of sewer networks using CORAL tool: application to Riera Blanca catchment in Barcelona
Author(s) -
Vicenç Puig,
Gabriela Cembrano,
J. Romera,
Joseba Quevedo,
B. Aznar,
Gustavo Ramón,
Jordi Cabot
Publication year - 2009
Publication title -
water science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.406
H-Index - 137
eISSN - 1996-9732
pISSN - 0273-1223
DOI - 10.2166/wst.2009.424
Subject(s) - model predictive control , drainage basin , interfacing , control (management) , computer science , hydrology (agriculture) , environmental science , engineering , geography , cartography , artificial intelligence , geotechnical engineering , computer hardware
This paper deals with the global control of the Riera Blanca catchment in the Barcelona sewer network using a predictive optimal control approach. This catchment has been modelled using a conceptual modelling approach based on decomposing the catchments in subcatchments and representing them as virtual tanks. This conceptual modelling approach allows real-time model calibration and control of the sewer network. The global control problem of the Riera Blanca catchment is solved using a optimal/predictive control algorithm. To implement the predictive optimal control of the Riera Blanca catchment, a software tool named CORAL is used. The on-line control is simulated by interfacing CORAL with a high fidelity simulator of sewer networks (MOUSE). CORAL interchanges readings from the limnimeters and gate commands with MOUSE as if it was connected with the real SCADA system. Finally, the global control results obtained using the predictive optimal control are presented and compared against the results obtained using current local control system. The results obtained using the global control are very satisfactory compared to those obtained using the local control.
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