TECHNICAL PAPERS
Mar 1, 2005

Optimal Design and Operation of Multiquality Networks under Unsteady Conditions

Publication: Journal of Water Resources Planning and Management
Volume 131, Issue 2

Abstract

A method incorporating a genetic algorithm tailored to EPANET for the conjunctive optimal design and operation of multiquality water distribution systems under unsteady hydraulics is presented and demonstrated. The objective is to minimize the total cost of designing and operating the system for a selected operational time horizon while delivering to consumers the required quantities at acceptable qualities and pressures. The decision variables for the design are the pipe diameters, tank maximum storage, maximum pumping unit power, and maximum removal ratios at the treatment facilities. For the operation phase, the decision variables are set for each time step of the total operational time horizon. These decisions include the scheduling of the pumping units and the treatment removal ratios at the treatment facilities. The constraints are domain heads and concentrations at consumer nodes, maximum removal ratios at the treatment facilities, maximum allowable amounts of water withdrawals at the sources, and return at the end of the operational time horizon to a prescribed total storage in the water distribution system tanks. The model is explored through two example applications.

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Acknowledgments

This research was supported by the Fund for the Promotion of Research at the Technion, and by the Technion Grand Water Research Institute (GWRI). The coding work and assistance of Ariel Tubaltzev, an undergraduate Computer Science student at the Technion–Israel Institute of Technology, is highly acknowledged.

References

Cohen, D., Shamir, U., and Sinai, G. (2000). “Optimal operation of multiquality networks III: The Q-C-H model.” Engineering Optimization, 33(1), 1–35.
Environmental Protection Agency (EPA). (2002). EPANET 2.0 (2002). ⟨http://www.epa.gov/ORD/NRMRL/wswrd/epanet.html⟩ (Nov. 12, 2004).
Goldman, E. F. (1998). “The application of simulated annealing for optimal operation of water distribution systems.” PhD dissertation, Arizona State University, Tempe, Ariz.
Holland, J. H. (1975). Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, Mich.
Kapelan, Z. S., Savic, D. A., and Walters, G. A. (2003). “Multiobjective sampling design for water distribution model calibration.” J. Water Resour. Plan. Manage., 129(6), 466–479.
Ladson, L. S., and Waren, A. D. (1986). GRG2 user’s guide. Dept. of General Business, Univ. of Texas at Austin, Tex.
Liang, T., and Nahaji, S. (1983). “Managing water quality by mixing water from different sources.” J. Water Resour. Plan. Manage., 109(1) 48–57.
Ostfeld, A., and Shamir, U. (1993a). “Optimal operation of multiquality networks. I: Steady state conditions.” J. Water Resour. Plan. Manage., 119(6), 645–662.
Ostfeld, A., and Shamir, U. (1993b). “Optimal operation of multiquality networks. II: Unsteady conditions.” J. Water Resour. Plan. Manage., 119(6), 663–684.
Ostfeld, A., and Shamir, U. (1996). “Design of optimal reliable multiquality water supply systems.” J. Water Resour. Plan. Manage., 122(5), 322–333.
Ostfeld, A., Kogan, D., and Shamir, U. (2002). “Reliability simulation of water distribution systems—Single and multiquality.” Urban Water, Elsevier Science, 4(1), 53–61.
Ostfeld, A., and Salomons, E. (2004). “Optimal operation of multiquality water distribution systems: Unsteady conditions.” Eng. Optimiz., 36(3), 337–359.
Percia, C., Oron, G., and Mehrez, A. (1997). “Optimal operation of regional system with diverse water quality sources.” J. Water Resour. Plan. Manage., 123(2), 105–115.
Sakarya, B. A., and Mays, L. W. (2000). “Optimal operation of water distribution pumps with water quality.” J. Water Resour. Plan. Manage., 126(4), 210–220.
Salomons, E. (2001). “Optimal design of water distribution systems facilities and operation.” MS thesis, Technion–Israel Institute of Technology, Haifa, Israel (in Hebrew).
Salomons, Z. (2002). “optiGA—An activeX control for genetic algorithms.” ⟨optiwater.com/optiga.html⟩.
Savic, D. A., and Walters, G. A. (1997). “Genetic algorithms for the least-cost design of water distribution networks.” J. Water Resour. Plan. Manage., 123(2), 67–77.
Savic, D. A., Walters, G. A., Atkinson, R. M., and Randall, S. M. (1999). “Genetic algorithm optimization of large water distribution system expansion.” Journal of Measurement and Control, 32(4), 104–109.
Simpson, A. R., Dandy, G. C., and Murphy, L. J. (1994). “Genetic algorithms compared to other techniques for pipe optimization.” J. Water Resour. Plan. Manage., 120(4), 423–443.
Sinai, G., Koch, E., and Farbman, M. (1985). “Dilution of brackish waters in irrigation networks—an analytic approach.” Irrig. Sci., 6, 191–200.
Walski, T. M. et al. (1987). “Battle of the network models: Epilogue.” J. Water Resour. Plan. Manage., 113(2), 191–203.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 131Issue 2March 2005
Pages: 116 - 124

History

Received: Feb 2, 2004
Accepted: Jun 7, 2004
Published online: Mar 1, 2005
Published in print: Mar 2005

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Authors

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Avi Ostfeld, M.ASCE [email protected]
Senior Lecturer, Faculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology, Haifa 32000, Israel. E-mail: [email protected]

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