Neural-optimal control algorithm for real-time regulation of in-line storage in combined sewer systems

Environmental Modelling and Software

Volumn 22, Issue 9, 2007, Pages 1349-1361

  Darsono, Suseno ^a   Labadie, John W ^a  

^a Department of Mechanical Engineering   (United States)

Author keywords

Artificial intelligence; Combined sewers; Hydraulic sewer models; Neural networks; Optimal control; Real time control; Urban stormwater management

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; POLLUTION CONTROL; REAL TIME CONTROL;

HYDRAULIC SEWER MODELS; OPTIMAL CONTROL MODULE; URBAN STORMWATER MANAGEMENT;

COMBINED SEWERS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; FLOW MODELING; HYDRAULICS; POLLUTION CONTROL; PREDICTION; REAL TIME; RUNOFF; SEWER NETWORK; STORMWATER; URBAN DRAINAGE;

KING COUNTY [WASHINGTON]; NORTH AMERICA; UNITED STATES; WASHINGTON [UNITED STATES];

EID: 34147168206     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2006.09.005     Document Type: Article

References (26)

1. Albuquerque F., and Labadie J. Optimal nonlinear predictive control for canal operations. J. Irrig. Drain. Eng. 123 1 (1997) 45-54
2. Association of Metropolitan Sewerage Agencies (AMSA). Approaches to Combined Sewer Overflow Program Development (1994), AMSA, Washington DC
3. Butler D., and Schütze M. Integrating simulation models with a view to optimal control of urban wastewater systems. Environ. Modell. Softw. 20 (2005) 415-426
4. Chen Y.-H., and Chai S.-Y. UNSTDY: Combined Sewer Model User's Manual (1991), Chen Engineering Technology, Inc., Ft. Collins, CO
5. Duchesne S., Mailhot A., and Villeneuve J.-P. Global predictive real-time control of sewers allowing surcharged flows. J. Environ. Eng. 130 5 (2004) 526-534
6. Duchesne S., Mailhot A., Dequidt E., and Villeneuve J.-P. Mathematical modeling of sewers under surcharge for real time control of combined sewer overflows. Urban Water 3 (2001) 241-252
7. Freeman J. Simulating Neural Networks with Mathematica (1994), Addison Wesley Publishing Company, Inc., Reading, MA
8. Hassoum M. Fundamentals of Artificial Neural Networks (1995), The MIT Press, Cambridge, MA
9. Haykin S. Neural Networks: A Comprehensive Foundation (1994), IEEE Press/Macmillan College Publishing Company, NY
10. Huber W., and Dickinson R. Stormwater Management Model, Version 4: User's Manual. Report no. EPA-600-3-88-001a (1988), U.S. Environmental Protection Agency, Washington DC
11. King County, Washington, USA. 2003-2004 Annual Combined Sewer Overflow Report (2004), Department of Natural Resources and Parks, Wastewater Treatment Division, Seattle, WA
12. Labadie J. Optimal use of in-line storage for real-time urban stormwater control. In: Cao C., Yen B.C., and Benedini M. (Eds). Urban Storm Drainage (1993), Water Resources Publications, Inc., Highlands Ranch, CO
13. Loucks E.D., Locke E.F., Heinz S.R., and Vitasovic Z.C. A real-time control strategy for operating the Milwaukee Metropolitan Sewerage District (MMSD) conveyance and storage system. In: Sehlke G., et al. (Ed). Proceedings of the 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management, June 27-July 1, 2004, Salt Lake City, UT (2004), Environmental and Water Resources Institute and American Society of Civil Engineers, Reston, VA
14. Marinaki M., Papageorgiou M., and Messmer A. Multivariable regulator approach to sewer network flow control. J. Environ. Eng. 125 3 (1999) 267-276
15. Masters T. Practical Neural Network Recipes in C++ (1996), Elsevier Science and Technology Books, Burlington, MA
16. Parisini T., and Zoppoli R. Neural networks for feedback feed-forward nonlinear control systems. IEEE Trans. Neural Networks 5 3 (1994) 436-449
17. Pleau M., Colas H., Lavallée P., Pelletier G., and Bonin R. Global optimal real-time control of the Quebec urban drainage system. Environ. Modell. Softw. 20 (2005) 401-413
18. Pontryagin L., Boltyanskii V., Gamkrelidze R., and Mishchenko E. The Mathematical Theory of Optimal Processes (1962), Wiley-Interscience Publishing Co., NY
19. Rauch W., and Harremoës P. Genetic algorithms in real-time control applied to minimize transient pollution from urban wastewater systems. Water Res. 33 5 (1999) 1265-1277
20. Rossman L.A. Storm Water Management Model: User's Manual. Version 5.0 (2005), U.S. Environmental Protection Agency, Cincinnati, OH
21. Schutze, M., Campisano, A., Colas, H., Schilling, W., Vanrolleghem, P.A., 2002. Real-time control of urban wastewater systems - where do we stand today? In: Proceedings of the Ninth International Conference on Urban Drainage, Portland, OR, September 8-13.
22. Unver O.L., and Mays L.W. Model for real-time optimal flood control operation of a reservoir system. Water Resour. Manag. 4 (1990) 21-46
23. U.S. Environmental Protection Agency (U.S. EPA). Combined Sewer Overflow Management Fact Sheet. EPA Report No. 832-F-99-041 (1999), U.S. EPA, Washington DC
24. Vanrolleghem P.A., Benedetti L., and Meirlaen J. Modelling and real-time control of the integrated wastewater system. Environ. Modell. Softw. 20 (2005) 427-442
25. Vazquez J., François M., and Gilbert D. Real-time management of a sewage system: verification of the optimality and applicability of graphical linear programming compared to mixed linear programming. Rev. Sci. Eau 16 4 (2003) 425-442 (article in French)
26. Weyand M. Real-time control in combined sewer systems in Germany - some case studies. Urban Water 4 (2002) 347-354